diff --git a/EDA_CRSP.ipynb b/EDA_CRSP.ipynb
deleted file mode 100644
index a7d8a77..0000000
--- a/EDA_CRSP.ipynb
+++ /dev/null
@@ -1,1983 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "110bea9a",
-   "metadata": {},
-   "source": [
-    "# CRSP v2 Daily Basic EDA\n",
-    "\n",
-    "This notebook performs basic exploratory data analysis on `crsp_v2_2014_2024.csv` with emphasis on univariate analysis.\n",
-    "\n",
-    "Scope:\n",
-    "- Data loading and quick schema checks\n",
-    "- Missing values and duplicate diagnostics\n",
-    "- Univariate analysis for categorical, numeric, and date fields\n",
-    "- Basic sanity checks for OHLC and returns\n",
-    "- Export of summary tables for downstream modeling\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "5e9a6942",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Libraries loaded.\n"
-     ]
-    }
-   ],
-   "source": [
-    "import warnings\n",
-    "from pathlib import Path\n",
-    "\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import seaborn as sns\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "warnings.filterwarnings(\"ignore\")\n",
-    "\n",
-    "sns.set_theme(style=\"whitegrid\")\n",
-    "pd.set_option(\"display.max_columns\", 120)\n",
-    "pd.set_option(\"display.width\", 200)\n",
-    "print(\"Libraries loaded.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6edf8267",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Data path: H:\\My Drive\\Project\\FA Project\\crsp_v2_2014_2024.csv\n",
-      "Output path: H:\\My Drive\\Project\\FA Project\\eda_outputs\n",
-      "Sample rows: 200000\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Config\n",
-    "DATA_PATH = Path(\"H:\\\\My Drive\\\\Project\\\\FA Project\\\\crsp_v2_2014_2024.csv\")\n",
-    "OUTPUT_DIR = Path(\"eda_outputs\")\n",
-    "OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n",
-    "\n",
-    "# Set SAMPLE_N = None to use full data.\n",
-    "SAMPLE_N = 200000\n",
-    "RANDOM_SEED = 42\n",
-    "\n",
-    "core_columns = [\n",
-    "    \"permno\", \"permco\", \"ticker\", \"cusip\", \"issuernm\", \"siccd\", \"naics\",\n",
-    "    \"dlycaldt\", \"dlyclose\", \"dlyopen\", \"dlyhigh\", \"dlylow\", \"dlyprc\",\n",
-    "    \"dlyret\", \"dlyretx\", \"dlyvol\", \"shrout\", \"dlycap\", \"dlycumfacpr\",\n",
-    "    \"dlycumfacshr\", \"sprtrn\", \"vwretd\", \"ewretd\", \"securitytype\",\n",
-    "    \"sharetype\", \"usincflg\", \"shradrflg\"\n",
-    "]\n",
-    "\n",
-    "numeric_candidates = [\n",
-    "    \"dlyclose\", \"dlyopen\", \"dlyhigh\", \"dlylow\", \"dlyprc\", \"dlyret\", \"dlyretx\",\n",
-    "    \"dlyvol\", \"shrout\", \"dlycap\", \"dlycumfacpr\", \"dlycumfacshr\", \"sprtrn\",\n",
-    "    \"vwretd\", \"ewretd\"\n",
-    "]\n",
-    "\n",
-    "categorical_candidates = [\"securitytype\", \"sharetype\", \"usincflg\", \"shradrflg\", \"ticker\"]\n",
-    "\n",
-    "print(f\"Data path: {DATA_PATH.resolve()}\")\n",
-    "print(f\"Output path: {OUTPUT_DIR.resolve()}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "871f85d3",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Rows: 495,987\n",
-      "Columns: 27\n",
-      "Available core columns: 27\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>permno</th>\n",
-       "      <th>permco</th>\n",
-       "      <th>ticker</th>\n",
-       "      <th>cusip</th>\n",
-       "      <th>issuernm</th>\n",
-       "      <th>siccd</th>\n",
-       "      <th>naics</th>\n",
-       "      <th>dlycaldt</th>\n",
-       "      <th>dlyclose</th>\n",
-       "      <th>dlyopen</th>\n",
-       "      <th>dlyhigh</th>\n",
-       "      <th>dlylow</th>\n",
-       "      <th>dlyprc</th>\n",
-       "      <th>dlyret</th>\n",
-       "      <th>dlyretx</th>\n",
-       "      <th>dlyvol</th>\n",
-       "      <th>shrout</th>\n",
-       "      <th>dlycap</th>\n",
-       "      <th>dlycumfacpr</th>\n",
-       "      <th>dlycumfacshr</th>\n",
-       "      <th>sprtrn</th>\n",
-       "      <th>vwretd</th>\n",
-       "      <th>ewretd</th>\n",
-       "      <th>securitytype</th>\n",
-       "      <th>sharetype</th>\n",
-       "      <th>usincflg</th>\n",
-       "      <th>shradrflg</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>10104</td>\n",
-       "      <td>8045</td>\n",
-       "      <td>ORCL</td>\n",
-       "      <td>68389X10</td>\n",
-       "      <td>ORACLE CORP</td>\n",
-       "      <td>7372</td>\n",
-       "      <td>511210</td>\n",
-       "      <td>2014-01-02</td>\n",
-       "      <td>37.84</td>\n",
-       "      <td>37.78</td>\n",
-       "      <td>38.03</td>\n",
-       "      <td>37.550</td>\n",
-       "      <td>37.84</td>\n",
-       "      <td>-0.010978</td>\n",
-       "      <td>-0.010978</td>\n",
-       "      <td>18163700.0</td>\n",
-       "      <td>4497409</td>\n",
-       "      <td>1.701820e+08</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>-0.008862</td>\n",
-       "      <td>-0.008757</td>\n",
-       "      <td>-0.004051</td>\n",
-       "      <td>EQTY</td>\n",
-       "      <td>NS</td>\n",
-       "      <td>Y</td>\n",
-       "      <td>N</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>10104</td>\n",
-       "      <td>8045</td>\n",
-       "      <td>ORCL</td>\n",
-       "      <td>68389X10</td>\n",
-       "      <td>ORACLE CORP</td>\n",
-       "      <td>7372</td>\n",
-       "      <td>511210</td>\n",
-       "      <td>2014-01-03</td>\n",
-       "      <td>37.62</td>\n",
-       "      <td>37.65</td>\n",
-       "      <td>37.86</td>\n",
-       "      <td>37.560</td>\n",
-       "      <td>37.62</td>\n",
-       "      <td>-0.002643</td>\n",
-       "      <td>-0.005814</td>\n",
-       "      <td>11693900.0</td>\n",
-       "      <td>4497409</td>\n",
-       "      <td>1.691925e+08</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>-0.000333</td>\n",
-       "      <td>0.000491</td>\n",
-       "      <td>0.004096</td>\n",
-       "      <td>EQTY</td>\n",
-       "      <td>NS</td>\n",
-       "      <td>Y</td>\n",
-       "      <td>N</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>10104</td>\n",
-       "      <td>8045</td>\n",
-       "      <td>ORCL</td>\n",
-       "      <td>68389X10</td>\n",
-       "      <td>ORACLE CORP</td>\n",
-       "      <td>7372</td>\n",
-       "      <td>511210</td>\n",
-       "      <td>2014-01-06</td>\n",
-       "      <td>37.47</td>\n",
-       "      <td>37.64</td>\n",
-       "      <td>37.80</td>\n",
-       "      <td>37.415</td>\n",
-       "      <td>37.47</td>\n",
-       "      <td>-0.003987</td>\n",
-       "      <td>-0.003987</td>\n",
-       "      <td>15330000.0</td>\n",
-       "      <td>4497409</td>\n",
-       "      <td>1.685179e+08</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>-0.002512</td>\n",
-       "      <td>-0.003340</td>\n",
-       "      <td>-0.001676</td>\n",
-       "      <td>EQTY</td>\n",
-       "      <td>NS</td>\n",
-       "      <td>Y</td>\n",
-       "      <td>N</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>10104</td>\n",
-       "      <td>8045</td>\n",
-       "      <td>ORCL</td>\n",
-       "      <td>68389X10</td>\n",
-       "      <td>ORACLE CORP</td>\n",
-       "      <td>7372</td>\n",
-       "      <td>511210</td>\n",
-       "      <td>2014-01-07</td>\n",
-       "      <td>37.85</td>\n",
-       "      <td>37.66</td>\n",
-       "      <td>37.93</td>\n",
-       "      <td>37.500</td>\n",
-       "      <td>37.85</td>\n",
-       "      <td>0.010141</td>\n",
-       "      <td>0.010141</td>\n",
-       "      <td>16793300.0</td>\n",
-       "      <td>4497409</td>\n",
-       "      <td>1.702269e+08</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>0.006082</td>\n",
-       "      <td>0.006090</td>\n",
-       "      <td>0.006892</td>\n",
-       "      <td>EQTY</td>\n",
-       "      <td>NS</td>\n",
-       "      <td>Y</td>\n",
-       "      <td>N</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>10104</td>\n",
-       "      <td>8045</td>\n",
-       "      <td>ORCL</td>\n",
-       "      <td>68389X10</td>\n",
-       "      <td>ORACLE CORP</td>\n",
-       "      <td>7372</td>\n",
-       "      <td>511210</td>\n",
-       "      <td>2014-01-08</td>\n",
-       "      <td>37.72</td>\n",
-       "      <td>37.79</td>\n",
-       "      <td>37.91</td>\n",
-       "      <td>37.560</td>\n",
-       "      <td>37.72</td>\n",
-       "      <td>-0.003435</td>\n",
-       "      <td>-0.003435</td>\n",
-       "      <td>16111600.0</td>\n",
-       "      <td>4497409</td>\n",
-       "      <td>1.696423e+08</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>-0.000212</td>\n",
-       "      <td>0.000155</td>\n",
-       "      <td>0.000835</td>\n",
-       "      <td>EQTY</td>\n",
-       "      <td>NS</td>\n",
-       "      <td>Y</td>\n",
-       "      <td>N</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   permno  permco ticker     cusip     issuernm  siccd   naics   dlycaldt  dlyclose  dlyopen  dlyhigh  dlylow  dlyprc    dlyret   dlyretx      dlyvol   shrout        dlycap  dlycumfacpr  \\\n",
-       "0   10104    8045   ORCL  68389X10  ORACLE CORP   7372  511210 2014-01-02     37.84    37.78    38.03  37.550   37.84 -0.010978 -0.010978  18163700.0  4497409  1.701820e+08          1.0   \n",
-       "1   10104    8045   ORCL  68389X10  ORACLE CORP   7372  511210 2014-01-03     37.62    37.65    37.86  37.560   37.62 -0.002643 -0.005814  11693900.0  4497409  1.691925e+08          1.0   \n",
-       "2   10104    8045   ORCL  68389X10  ORACLE CORP   7372  511210 2014-01-06     37.47    37.64    37.80  37.415   37.47 -0.003987 -0.003987  15330000.0  4497409  1.685179e+08          1.0   \n",
-       "3   10104    8045   ORCL  68389X10  ORACLE CORP   7372  511210 2014-01-07     37.85    37.66    37.93  37.500   37.85  0.010141  0.010141  16793300.0  4497409  1.702269e+08          1.0   \n",
-       "4   10104    8045   ORCL  68389X10  ORACLE CORP   7372  511210 2014-01-08     37.72    37.79    37.91  37.560   37.72 -0.003435 -0.003435  16111600.0  4497409  1.696423e+08          1.0   \n",
-       "\n",
-       "   dlycumfacshr    sprtrn    vwretd    ewretd securitytype sharetype usincflg shradrflg  \n",
-       "0           1.0 -0.008862 -0.008757 -0.004051         EQTY        NS        Y         N  \n",
-       "1           1.0 -0.000333  0.000491  0.004096         EQTY        NS        Y         N  \n",
-       "2           1.0 -0.002512 -0.003340 -0.001676         EQTY        NS        Y         N  \n",
-       "3           1.0  0.006082  0.006090  0.006892         EQTY        NS        Y         N  \n",
-       "4           1.0 -0.000212  0.000155  0.000835         EQTY        NS        Y         N  "
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Load data\n",
-    "if not DATA_PATH.exists():\n",
-    "    raise FileNotFoundError(f\"Dataset not found: {DATA_PATH}\")\n",
-    "\n",
-    "df = pd.read_csv(DATA_PATH, low_memory=False)\n",
-    "\n",
-    "available_core_cols = [c for c in core_columns if c in df.columns]\n",
-    "missing_core_cols = [c for c in core_columns if c not in df.columns]\n",
-    "\n",
-    "if \"dlycaldt\" in df.columns:\n",
-    "    df[\"dlycaldt\"] = pd.to_datetime(df[\"dlycaldt\"], errors=\"coerce\")\n",
-    "\n",
-    "for col in [c for c in numeric_candidates if c in df.columns]:\n",
-    "    df[col] = pd.to_numeric(df[col], errors=\"coerce\")\n",
-    "\n",
-    "# if SAMPLE_N is not None and SAMPLE_N < len(df):\n",
-    "#     df = df.sample(n=SAMPLE_N, random_state=RANDOM_SEED).sort_index().reset_index(drop=True)\n",
-    "\n",
-    "print(f\"Rows: {len(df):,}\")\n",
-    "print(f\"Columns: {df.shape[1]}\")\n",
-    "print(f\"Available core columns: {len(available_core_cols)}\")\n",
-    "if missing_core_cols:\n",
-    "    print(\"Missing expected core columns:\", missing_core_cols)\n",
-    "\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "eb9fc4d9",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>column</th>\n",
-       "      <th>dtype</th>\n",
-       "      <th>missing_count</th>\n",
-       "      <th>missing_pct</th>\n",
-       "      <th>n_unique</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>dlyclose</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>277</td>\n",
-       "      <td>0.06</td>\n",
-       "      <td>63745</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>dlyopen</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>277</td>\n",
-       "      <td>0.06</td>\n",
-       "      <td>64679</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>dlylow</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>277</td>\n",
-       "      <td>0.06</td>\n",
-       "      <td>102406</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>dlyhigh</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>277</td>\n",
-       "      <td>0.06</td>\n",
-       "      <td>102668</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>securitytype</td>\n",
-       "      <td>str</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>sharetype</td>\n",
-       "      <td>str</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>usincflg</td>\n",
-       "      <td>str</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>shradrflg</td>\n",
-       "      <td>str</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>dlycumfacshr</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>dlycumfacpr</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>44</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>siccd</td>\n",
-       "      <td>int64</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>156</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>ticker</td>\n",
-       "      <td>str</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>185</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>permco</td>\n",
-       "      <td>int64</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>186</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>permno</td>\n",
-       "      <td>int64</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>188</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>cusip</td>\n",
-       "      <td>str</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>198</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>naics</td>\n",
-       "      <td>int64</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>201</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>issuernm</td>\n",
-       "      <td>str</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>204</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>sprtrn</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>2640</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>vwretd</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>2643</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>ewretd</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>2644</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>dlycaldt</td>\n",
-       "      <td>datetime64[us]</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>2768</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>shrout</td>\n",
-       "      <td>int64</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>11203</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>dlyprc</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>63856</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>dlyret</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>84346</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>dlyretx</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>84401</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>dlycap</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>477976</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>dlyvol</td>\n",
-       "      <td>float64</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.00</td>\n",
-       "      <td>479794</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          column           dtype  missing_count  missing_pct  n_unique\n",
-       "8       dlyclose         float64            277         0.06     63745\n",
-       "9        dlyopen         float64            277         0.06     64679\n",
-       "11        dlylow         float64            277         0.06    102406\n",
-       "10       dlyhigh         float64            277         0.06    102668\n",
-       "23  securitytype             str              0         0.00         1\n",
-       "24     sharetype             str              0         0.00         1\n",
-       "25      usincflg             str              0         0.00         1\n",
-       "26     shradrflg             str              0         0.00         1\n",
-       "19  dlycumfacshr         float64              0         0.00        16\n",
-       "18   dlycumfacpr         float64              0         0.00        44\n",
-       "5          siccd           int64              0         0.00       156\n",
-       "2         ticker             str              0         0.00       185\n",
-       "1         permco           int64              0         0.00       186\n",
-       "0         permno           int64              0         0.00       188\n",
-       "3          cusip             str              0         0.00       198\n",
-       "6          naics           int64              0         0.00       201\n",
-       "4       issuernm             str              0         0.00       204\n",
-       "20        sprtrn         float64              0         0.00      2640\n",
-       "21        vwretd         float64              0         0.00      2643\n",
-       "22        ewretd         float64              0         0.00      2644\n",
-       "7       dlycaldt  datetime64[us]              0         0.00      2768\n",
-       "16        shrout           int64              0         0.00     11203\n",
-       "12        dlyprc         float64              1         0.00     63856\n",
-       "13        dlyret         float64              3         0.00     84346\n",
-       "14       dlyretx         float64              3         0.00     84401\n",
-       "17        dlycap         float64              1         0.00    477976\n",
-       "15        dlyvol         float64              1         0.00    479794"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Full-row duplicates: 16\n",
-      "permno+dlycaldt duplicates: 16\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Overview and quality diagnostics\n",
-    "schema_df = pd.DataFrame({\n",
-    "    \"column\": df.columns,\n",
-    "    \"dtype\": [str(t) for t in df.dtypes],\n",
-    "    \"missing_count\": df.isna().sum().values,\n",
-    "    \"missing_pct\": (df.isna().mean() * 100).round(2).values,\n",
-    "    \"n_unique\": [df[c].nunique(dropna=True) for c in df.columns]\n",
-    "}).sort_values([\"missing_pct\", \"n_unique\"], ascending=[False, True])\n",
-    "\n",
-    "display(schema_df.head(30))\n",
-    "\n",
-    "full_dup_count = int(df.duplicated().sum())\n",
-    "if {\"permno\", \"dlycaldt\"}.issubset(df.columns):\n",
-    "    key_dup_count = int(df.duplicated(subset=[\"permno\", \"dlycaldt\"]).sum())\n",
-    "else:\n",
-    "    key_dup_count = np.nan\n",
-    "\n",
-    "print(f\"Full-row duplicates: {full_dup_count:,}\")\n",
-    "print(f\"permno+dlycaldt duplicates: {key_dup_count}\")\n",
-    "\n",
-    "schema_df.to_csv(OUTPUT_DIR / \"schema_missingness_summary.csv\", index=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "2469e86f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>securitytype</th>\n",
-       "      <th>count</th>\n",
-       "      <th>pct</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>EQTY</td>\n",
-       "      <td>495987</td>\n",
-       "      <td>100.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  securitytype   count    pct\n",
-       "0         EQTY  495987  100.0"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1000x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>sharetype</th>\n",
-       "      <th>count</th>\n",
-       "      <th>pct</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>NS</td>\n",
-       "      <td>495987</td>\n",
-       "      <td>100.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  sharetype   count    pct\n",
-       "0        NS  495987  100.0"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
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",
-      "text/plain": [
-       "<Figure size 1000x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>usincflg</th>\n",
-       "      <th>count</th>\n",
-       "      <th>pct</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Y</td>\n",
-       "      <td>495987</td>\n",
-       "      <td>100.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  usincflg   count    pct\n",
-       "0        Y  495987  100.0"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
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",
-      "text/plain": [
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-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>shradrflg</th>\n",
-       "      <th>count</th>\n",
-       "      <th>pct</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>N</td>\n",
-       "      <td>495987</td>\n",
-       "      <td>100.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  shradrflg   count    pct\n",
-       "0         N  495987  100.0"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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FF8Xuu+9eAvCECRPiqKOOimHDhpVzxo4dWyrRt912W+y6665x3XXXrfI2AAAAoMkD9t/+9rcSWJdl8uTJMXjw4BJqa7bddtu48MIL48UXX4znnnsuXn/99RgyZEjd/q5du0b//v1j0qRJJRw3RhvrrLPOCl374sWL44033lihcwEAAFj1Mre1adPm/VPBXmuttWKvvfaKZ555JjbccMP45je/Gdtvv31Mnz49+vXr1+D4WqX7+eefL/tT7969lzqmtq8x2ljRgD1//vwytxsAAIDmq3379s0/YC9YsCCefvrp6Nu3bxx77LHRpUuXuPnmm+Oggw6KSy65JN58882lLiTna6e33nor5s6dW35f1jGzZ88uvzdGGysqh53ntbNqLO+3TAAA0FIqrVTvySefXO5jmzRg55Dr+++/P1ZfffXo2LFj2faxj30s/v73v8fFF19cttUWGqupBdrOnTvXnZPH1H6vHdOpU6fye2O0sTIBcGXO550tXLQoVl+tydfxAwCAVc7/fZtH4a7Jh4ivscYaS237yEc+UlYS79WrV8ycObPBvtrfPXv2LBXw2rZc4bv+Mfmor9QYbdA8Zbg+6Tc3xj9efqmpuwIAAKvMRmt3i+9/7kvucDPQpAE7K9V77rlnnH/++fHxj3+8bvsjjzxShk5vttlm5bFZCxcuLFXudN9998XGG28c3bp1izXXXLMMK88qeC0cz5kzJx577LHyzOo0aNCgVd4GzVeG6yde+PdcegAAgFWpScfP5urhH/7wh8vjr3Kl7qeeeipOP/30eOihh8pCZ/kIrNdeey2OP/74Mu594sSJcemll8bBBx9czs950RmC85nUd9xxR3mm9uGHH14qzsOHDy/HNEYbAAAA0KQV7NVWWy0uuOCCOPvss+Owww4rleN8PFYucFZbtXv8+PFx2mmnxW677Rbdu3ePo48+uvxeM2rUqDLMe/To0WUxsqw25/ztXEAsZYW5MdoAAACgdWuz2FJzTWLKlCnldcCAAU3TgVZin6suNkQcAIAWrV/3XnHZXgc0dTdarPeS3SyxDAAAABUQsAEAAKACAjYAAABUQMAGAACACgjYAAAAUAEBGwAAACogYAMAAEAFBGwAAACogIANAAAAFRCwAQAAoAICNgAAAFRAwAYAAIAKCNgAAABQAQEbAAAAKiBgAwAAQAUEbAAAAKiAgA0AAAAVELABAACgAgI2AAAAVEDABgAAgAoI2AAAAFABARsAAAAqIGADAABABQRsAAAAqICADQAAABUQsAEAAKACAjYAAABUQMAGAACACgjYAAAAUAEBGwAAACogYAMAAEAFBGwAAACogIANAAAAFRCwAQAAoAICNgAAAFRAwAYAAIAKCNgAAABQAQEbAAAAKiBgAwAAQAUEbAAAAKiAgA0AAAAVELABAACgAgI2AAAAVEDABgAAgJYWsJ955pnYcsstY+LEiXXbHn/88RgxYkQMHDgwdtxxx7j88ssbnLNo0aIYN25cDB06tBxz4IEHxrRp0xoc0xhtAAAA0Lo1m4A9f/78OOqoo+KNN96o2zZr1qzYb7/9YoMNNogbbrghDj300BgzZkz5vea8886Lq6++Ok499dS45pprSlgeOXJkzJs3r1HbAAAAoHVrG83EueeeG126dGmw7brrrot27drFKaecEm3bto0+ffrEs88+GxdddFHsvvvuJQBPmDChBPNhw4aVc8aOHVsq0bfddlvsuuuujdIGAAAANIuAPWnSpLj22mvjxhtvrAu5afLkyTF48OASamu23XbbuPDCC+PFF1+M5557Ll5//fUYMmRI3f6uXbtG//79S5sZjhujjXXWWWeFrnvx4sUNKvZUp02bNtGpUye3FACAVmPu3LklY1CtvKeZL94XAXvOnDlx9NFHx+jRo6N3794N9k2fPj369evXYFuPHj3K6/PPP1/2pyXPy2Nq+xqjjRUN2DksPud2U70M1/klCQAAtBa5plWGbKrXvn3790fAPvnkk8vCZp///OeX2vfmm28udSEdOnQor2+99VbdP55lHTN79uxGa2NF5bDzvn37rvD5vL3l/YYJAABaio033lgFexV48sknl/vYJg3YOSQ8h1//+te/Xub+jh071i00VlMLtJ07dy77Ux5T+712TG14cGO0sTIhcGXOBwAAqDFFsumLd00asHMV7pdeeqnBvOt00kknxS233BK9evWKmTNnNthX+7tnz56xYMGCum25wnf9YzbZZJPye2O0AQAAAE0asPNRVzn8ur7hw4fHqFGj4gtf+ELcdNNN5bFZCxcujNVXX73sv++++8rQh27dusWaa65ZVh6///7768Jxzul+7LHHyjOr06BBg1Z5GwAAANCkz8HO6u+GG27Y4CdlaM19+Qis1157LY4//vgy7n3ixIlx6aWXxsEHH1yOy3nRGYIzqN9xxx0xderUOPzww0vFOYN6aow2AAAAoMkXOXsnGbTHjx8fp512Wuy2227RvXv3suJ4/l6T1e4c5p2rkGc1PKvNF198cVlArDHbAAAAoHVrs9iD0prElClTyuuAAQOapgOtxD5XXRxPvPDvx60BAEBL1K97r7hsrwOauhst1nvJbk06RBwAAABaCgEbAAAAKiBgAwAAQAUEbAAAAKiAgA0AAAAVELABAACgAgI2AAAAVEDABgAAgAoI2AAAAFABARsAAAAqIGADAABABQRsAAAAqICADQAAABUQsAEAAKACAjYAAABUQMAGAACACgjYAAAAUAEBGwAAACogYAMAAEAFBGwAAACogIANAAAAFRCwAQAAoAICNgAAAFRAwAYAAIAKCNgAAABQAQEbAAAAKiBgAwAAQAUEbAAAAKiAgA0AAAAVELABAACgAgI2AAAAVEDABgAAgAoI2AAAAFABARsAAAAqIGADAABABQRsAAAAqICADQAAABUQsAEAAKACAjYAAABUQMAGAACACgjYAAAAUAEBGwAAACogYAMAAEAFBGwAAABoCQH7pZdeiu9+97ux7bbbxpZbbhkHHXRQPPXUU3X7H3/88RgxYkQMHDgwdtxxx7j88ssbnL9o0aIYN25cDB06tBxz4IEHxrRp0xoc0xhtAAAA0Lo1ecA+9NBD49lnn42LLroorr/++ujYsWPsu+++MXfu3Jg1a1bst99+scEGG8QNN9xQjh0zZkz5vea8886Lq6++Ok499dS45pprSlgeOXJkzJs3r+xvrDYAAABo3do25ZvPnj071ltvvTj44IOjX79+ZdshhxwSX/ziF+Pvf/973HvvvdGuXbs45ZRTom3bttGnT5+6ML777ruXADxhwoQ46qijYtiwYeX8sWPHlkr0bbfdFrvuumtcd911q7wNAAAAaNKA/YEPfCDOPvvsur9ffvnluPTSS6NXr17Rt2/fOPfcc2Pw4MEl1NbkUPILL7wwXnzxxXjuuefi9ddfjyFDhtTt79q1a/Tv3z8mTZpUwvHkyZNXeRvrrLPOCl3/4sWL44033lihc3lnbdq0iU6dOrlNAAC0GjkKODMG1cp7mvmi2Qfs+k444YRSKW7fvn2cf/750blz55g+fXpdZbumR48e5fX5558v+1Pv3r2XOqa2rzHaWNGAPX/+/DK3m+pluM4vSQAAoLV45plnSsimeplT31cBe5999ok999wzrrrqqjLHOedEv/nmm0tdSIcOHcrrW2+9VfePZ1nH5PDz1BhtrKgcdp6Veqq3vN8wAQBAS7HxxhurYK8CTz755HIf22wCdi1onnbaafHXv/41rrzyyrLgWW2hsZpaoM0Kd+5PeUzt99oxteHBjdHGyoTAlTkfAACgxhTJpi/eNekq4jnn+uabb44FCxb8/w6ttloJ2zNnzixzsfO1vtrfPXv2rBvWvaxjcn9qjDYAAACgSQN2LhB2xBFHlNXC689Lfuyxx8pK3YMGDYoHH3wwFi5cWLf/vvvuK0MfunXrFptuuml06dIl7r///rr9c+bMKefnuakx2gAAAIAVCti5unauvL0sGU6zKr08cuGw7bffPn7wgx+UNp944ok49thjSxv5LOx8BNZrr70Wxx9/fBn3PnHixLLKeD7WK+W86BEjRpRnUt9xxx0xderUOPzww0vFefjw4eWYxmgDAAAA2ixegXXcN9tss7j22mtj8803X2pfVnYPOuigePjhh5errVdffbU8quv2228vv2+zzTYlZH/kIx8p+7OdnJedFeXu3bvH/vvvXwJxTVaVf/zjH5fQm4uRZbX5xBNPjPXXX7/umMZo472aMmVKeR0wYMAKt8G72+eqi+OJF/69GjwAALRE/br3isv2OqCpu9FivZfsttwB+5hjjimPpEoPPPBAeQRSDq1e0j/+8Y/yvOjf/e53773nrYiA3TgEbAAAWjoBu/lkt+UeIv6Zz3ymLPleP4/X/q795AJlAwcOjNNPP31F+w4AAADvS8v9mK4dd9yx/KS99947Tj755LIQGQAAALCCz8G+4oor3DsAAABY2YCdC4Gdf/75ceedd8bcuXNj0aJFSz2IOxctAwAAgNZihQJ2rqZ9/fXXx+DBg8uK4jn3GgAAAFqzFQrYt912W3lWdD6OCwAAAHgPq4jXN3/+/GU+AxsAAABaqxUK2P/xH/8Rd911V/W9AQAAgNY0RHznnXeOk046KV5++eXYYostolOnTksd86UvfamK/gEAAEDLDdiHHXZYeb3xxhvLz5JyFXEBGwAAgNZkhQL2HXfcUX1PAAAAoLUF7PXWW6/6ngAAAEBrC9g//elP3/WYb33rWyvSNAAAALwvVR6wu3TpEj169BCwAQAAaFVWKGBPnTp1qW1vvPFGTJ48OU4++eQ44YQTqugbAAAAtOznYC9L586dY/vtt49DDz00fvSjH1XVLAAAALSugF2z7rrrxlNPPVV1swAAANDyhogvy+LFi2P69Okxfvx4q4wDAADQ6qxQwN50002jTZs2bxu0DREHAACgtVmhgJ3zrJcVsHMF8WHDhsVGG21URd8AAACgZQfsb3/729X3BAAAAFrjHOyXX345JkyYEA888EDMmTMn1lprrdhmm21i3333jW7dulXbSwAAAGiJq4jnYma77bZbXHbZZdGhQ4fo379/tG3bNi655JL40pe+FDNmzKi+pwAAANDSKthnnXVWCdS33HJLfOhDH6rbPm3atNh///1j7NixccYZZ1TZTwAAAGh5Fex77rknRo0a1SBcp/w7F0C76667quofAAAAtNyAvXDhwjLnelnWXnvteO2111a2XwAAANDyA/Ymm2wSv/71r5e576abbop+/fqtbL8AAACg5c/BPuSQQ+KAAw6I2bNnx8477xzdu3ePF154IW6++eYyfHzcuHHV9xQAAABaWsDebrvtyiJmY8aMaTDfOoP26aefHjvttFOVfQQAAICW+xzsmTNnlsdzHXPMMaWSPXXq1Dj33HPNvwYAAKBVWqGAPWHChDjnnHNixIgR0adPn7Ktd+/e8fTTT5fKdj4b+ytf+UrVfQUAAICWFbCvueaaOOyww+Kggw6q25YBe/To0bHOOuvEpZdeKmADAADQqqzQKuIzZsyIAQMGLHPfFltsEf/85z9Xtl8AAADQ8gP2euutF/fee+8y902aNCl69eq1sv0CAACAlj9EfI899oizzjor5s+fH5/+9KejW7du8fLLL8edd94Zl1xySRx55JHV9xQAAABaWsDed999yzDxK664osy3rll99dVjn332if3226/KPgIAAEDLfUxXPp7rkEMOiYceeiheeeWV6Nq1a2y++eax1lprVdtDAAAAaMkBO6255poxdOjQ6noDAAAArWmRMwAAAKAhARsAAAAqIGADAABABQRsAAAAqICADQAAABUQsAEAAKAlBOx8hvaJJ54Y22+/fWy11VbxX//1XzF58uS6/ffee298+ctfji222CI++9nPxs0339zg/Lfeeiu+//3vx5AhQ2LLLbeMI488Ml5++eUGxzRGGwAAALRuTR6wjzjiiPjLX/4SP/7xj+OGG26IzTbbLA444IB4+umn46mnnoqDDz64PGt74sSJ8ZWvfCWOPvroEnZrTj755Ljnnnvi3HPPjcsuu6ycN2rUqLr9jdUGAAAArVvbpnzzZ599Nv74xz/G1VdfHVtvvXXZdsIJJ8Tdd98dv/71r+Oll16KTTbZJA4//PCyr0+fPvHYY4/F+PHjS7V5xowZceONN8YFF1wQ22yzTTkmg3pWmDO0ZzU6A/OqbgMAAACaNGCvtdZacdFFF8WAAQPqtrVp06b8zJkzpwwV//SnP93gnG233TZOO+20WLx4cTz44IN122o23njj6NmzZ0yaNKmE48ZoI/u7IvLcN954Y4XO5Z3lZ9KpUye3CQCAVmPu3LklY1Ct95L5mjRgd+3aNXbYYYcG237729+Wyvb3vve9+OUvfxm9evVqsL9Hjx7lH86sWbNK9TlDeocOHZY6Zvr06eX3fF3Vbay99tordP3z58+Pxx9/fIXO5Z1luO7fv7/bBABAq/HMM8+UjEL12rdv3/wD9pL+/Oc/x3HHHRfDhw+PYcOGxZtvvrnUhdT+njdvXvnHs6wLzbCcC5elxmhjRbVr1y769u27wufz9lZ0VAEAALxf5UhcFezqPfnkk8t9bLMJ2LfffnscddRRZSXxMWPG1IXcJQNs7e+sUHbs2HGZATeDcW14cGO0sTIhsHPnzit8PgAAQI0pkk1fvGvyVcTTlVdeGd/+9rfjk5/8ZFlsrDZcu3fv3jFz5swGx+bfGUrXXHPNMmw7H/O1ZPjNY3IOdWO1AQAAAE0esHMF8VNPPTX22muvsnp3/aHYuar3Aw880OD4++67r1S5V1tttbLy+KJFi+oWKqvNO8h51YMGDWq0NgAAAKBJ02EG2R/+8Iex0047ledMv/jii/HCCy+Un1dffTX23nvvePjhh8uQ8XwW9YQJE+LWW2+NkSNHlvOzwrzLLrvE6NGj4/777y/H5nO1Bw8eHAMHDizHNEYbAAAA0GZxE86Cz+HgY8eOXea+3XbbLc4444y466674qyzzop//OMfsf7665eh5DvvvHPdcfmYqwzpufp42n777UtYzpXBaxqjjfdqypQp5bX+I8qo3j5XXRxPvPDv1eABAKAl6te9V1y21wFN3Y0W671ktyYN2K2ZgN04BGwAAFo6Abv5ZDcTiAEAAKACAjYAAABUQMAGAACACgjYAAAAUAEBGwAAACogYAMAAEAFBGwAAACogIANAAAAFRCwAQAAoAICNgAAAFRAwAYAAIAKCNgAAABQAQEbAAAAKiBgAwAAQAUEbAAAAKiAgA0AAAACNgAAADQPKtgAAABQAQEbAAAAKiBgAwAAQAUEbAAAAKiAgA0AAAAVELABAACgAgI2AAAAVEDABgAAgAoI2AAAAFABARsAAAAqIGADAABABQRsAAAAqICADQAAABUQsAEAAKACAjYAAABUQMAGAACACgjYAAAAUAEBGwAAACogYAMAAEAFBGwAAACogIANAAAAFRCwAQAAoAICNgAAAFRAwAYAAAABGwAAAJoHFWwAAACogIANAAAALS1gX3jhhbH33ns32Pb444/HiBEjYuDAgbHjjjvG5Zdf3mD/okWLYty4cTF06NByzIEHHhjTpk1r9DYAAABo3ZpNwL7qqqvinHPOabBt1qxZsd9++8UGG2wQN9xwQxx66KExZsyY8nvNeeedF1dffXWceuqpcc0115SwPHLkyJg3b16jtgEAAEDr1rapOzBjxow46aST4v7774+NNtqowb7rrrsu2rVrF6ecckq0bds2+vTpE88++2xcdNFFsfvuu5cAPGHChDjqqKNi2LBh5ZyxY8eWSvRtt90Wu+66a6O0AQAAAE0esB999NESXn/1q1/Fz372s/jXv/5Vt2/y5MkxePDgEmprtt122zKU/MUXX4znnnsuXn/99RgyZEjd/q5du0b//v1j0qRJJRw3RhvrrLPOCl374sWL44033lihc3lnbdq0iU6dOrlNAAC0GnPnzi0Zg2rlPc188b4I2DmfOX+WZfr06dGvX78G23r06FFen3/++bI/9e7de6ljavsao40VDdjz588vc7upXobr/JIEAABai2eeeaaEbKrXvn3790fAfidvvvnmUhfSoUOH8vrWW2/V/eNZ1jGzZ89utDZWVFbu+/btu8Ln8/aW9xsmAABoKTbeeGMV7FXgySefXO5jm3XA7tixY91CYzW1QNu5c+eyP+Uxtd9rx9SGBzdGGysTAlfmfAAAgBpTJJu+eNdsVhFfll69esXMmTMbbKv93bNnz7ph3cs6Jvc3VhsAAADQrAP2oEGD4sEHH4yFCxfWbbvvvvvK0Idu3brFpptuGl26dCkrkNfMmTMnHnvssXJuY7UBAAAAzTpg5yOwXnvttTj++OPLuPeJEyfGpZdeGgcffHDZn/OiR4wYUZ5Jfccdd8TUqVPj8MMPLxXn4cOHN1obAAAA0KznYGd1ePz48XHaaafFbrvtFt27d4+jjz66/F4zatSoWLBgQYwePbosRpbV5osvvrgsINaYbQAAANC6tVnsQWlNYsqUKeV1wIABTdOBVmKfqy6OJ1749+PWAACgJerXvVdcttcBTd2NFuu9ZLdmPUQcAAAA3i8EbAAAAKiAgA0AAAAVELABAACgAgI2AAAAVEDABgAAgAoI2AAAAFABARsAAAAqIGADAABABQRsAAAAELABAACgeVDBBgAAgAoI2AAAAFABARsAAAAqIGADAABABQRsAAAAqICADQAAABUQsAEAAKACAjYAAABUQMAGAACACgjYAAAAUAEBGwAAACogYAMAAEAFBGwAAACogIANAAAAFRCwAQAAoAICNgAAAFRAwAYAAIAKCNgAAABQAQEbAAAAKiBgAwAAQAUEbAAAAKiAgA0AAAAVELABAACgAgI2AAAAVEDABgAAgAoI2AAAAFABARsAAAAqIGADAABABQRsAAAAqICADQAAABUQsAEAAKACAjYAAABUQMAGAACACgjY78GiRYti3LhxMXTo0Bg4cGAceOCBMW3atCo+BwAAAN7nBOz34Lzzzourr746Tj311LjmmmtK4B45cmTMmzdv1X1CAAAAvC8I2MspQ/SECRNi1KhRMWzYsNh0001j7NixMX369LjttttW7acEAABAsydgL6epU6fG66+/HkOGDKnb1rVr1+jfv39MmjRpVX0+AAAAvE+0beoOvF9kpTr17t27wfYePXrU7Xsv5s+fH4sXL46HH364sj7SUJs2beKAj3wsFnx4M7cGAIAWq+3qq8eUKVNKvqB6md0yWywPAXs5zZ07t7y2b9++wfYOHTrE7Nmz3+tnVPcBLe8HxYpZq1Nntw4AgFZBtlh191XArljHjh3r5mLXfk9vvfVWdOrU6T23t+WWW1baPwAAAJqWOdjLqTY0fObMmQ225989e/as/pMBAADgfUXAXk65aniXLl3i/vvvr9s2Z86ceOyxx2LQoEGr6vMBAADgfcIc7OWUc69HjBgRY8aMibXXXjvWW2+9OOuss6JXr14xfPjwVfspAQAA0OwJ2O9BPgN7wYIFMXr06HjzzTdL5friiy+Odu3arbpPCAAAgPeFNout5Q4AAAArzRxsAAAAqICADQAAABUQsAEAAKACAjYAAABUQMAGAACACgjYAAAAUAEBGwAAACogYAMAAEAFBGwA4B3ddNNN8dBDD7lLAPAuBGwA4G099dRTMX78+DjzzDPj0UcfdacA4B0I2ADA2+rTp09885vfjLZt28YZZ5wRjzzyiLsFAG9DwAYAlmnhwoXldeedd46vfe1rsWjRolLJFrIBYNkEbABgmVZfffVYsGBB+f1zn/uckA0A76LN4sWLF7/bQQBA63DFFVfEaqutFj179oytt9462rdvH2ussUbd/ttvv73MyW7Xrl1897vfjc0337xJ+wsAzYmADQAUM2bMiB122OHf/0Fo06aE7Jx7vdVWW8UGG2wQ2223XfTr1y9uvfXWuOWWW2LevHlx/PHHx6abbuoOAoCADQDU9/DDD8d+++0X/fv3j8022yy6dOkS9957bzz99NMxd+7cUt3u27dv+TuHkK+77rpx9tlnl20A0NqpYAMADfz5z3+Oo446KnbZZZc48MADo2vXrvH666/HM888E48//nj861//invuuSdmzZoVr7zySvzqV7+K9dZbz10EoNUTsAGApUyePDlGjRoVn//858viZhtuuGGD/bmES64qPnv27Fh77bXdQQBQwQYA3s6DDz4Y3/nOd2LXXXeNvfbaKz70oQ+V7bmyeA4Pz3naAMD/p4INALxjJfuwww4rIXvEiBGx/vrru1sA8DYEbADgXSvZRx55ZGy//fbxjW98oyxsBgAsbbVlbAMAqJPPwz7zzDPjgQceKM/FBgCWTQUbAFgu+ZiuTp06uVsA8DYEbAAAAKiAIeIAAABQAQEbAAAAKiBgAwAAQAUEbAAAAKiAgA0AAAAVELABAACgAgI2ALQixx57bOy4446N/r6bbLJJnHvuue963FlnnRWDBw+OgQMHxo033rjc5wFAc9C2qTsAAJCeeOKJGD9+fOyxxx7xxS9+MT784Q+7MQC8rwjYAECz8Morr5TXXXbZJbbZZpum7g4AvGeGiANAC/PII4/EPvvsE1tvvXVsueWWse+++8ZDDz3U4JiJEyfGZz7zmRgwYEB84QtfiD/84Q8N9vXv3z9+8YtfxHbbbVeGbD/55JOxcOHCuOiii2LXXXeNzTffvAzj/upXvxr33Xdfg7YfeOCB2HPPPWOLLbYo7/GnP/2pwf5//vOfZej3JZdcEp/97GfLcZ/85Cdj7733Lvuz7283jP2pp56KAw88MLbaaqv4xCc+EWPHjo3jjjuu7lwAaEoq2ADQgrz22msxcuTI2Hbbbcvc5Xnz5sX5558fBxxwQPz+978vxzz//PMlKH/nO9+Jzp07l5A6atSo+N3vfhfdunUrx2SYnjBhQpx22mkxa9as6NOnT/zoRz+Kn//853HkkUeWgDxjxoz42c9+VtrJtjt16hSPPvpo7L///uX9x40bV8L0EUccscy+Zv+OP/746NKlSwnZd9xxR5xyyilx4oknli8GlvTyyy/HiBEjSh9PP/300sef/OQn8dxzz5WwDwBNTcAGgBYkK80ZiL/+9a+XKm/KuczXXnttvP766+XvRYsWlWCcoTl16NChrsr9qU99qq6tb3zjGzFs2LC6v2fOnBmHH354g2pxnvvtb387/va3v5WQe+GFF5YAnKG+Xbt25Zi11lqrnLekz33uc7H77rvX/d23b9+616ygL+mKK64o15CLn/Xs2bNsq1XJAaA5ELABoAX5yEc+EmuvvXYJxzn8eujQoWWY93e/+926YzLw1sJ1Wn/99cvrq6++2qCtzTbbrMHfZ599dl0l+emnn45nn3027rzzzrItK+XpwQcfLMO9a+E6DR8+PFZfffWl+rpk++8mh6JnZbsWrtN66623zGo3ADQFARsAWpA11lgjrrrqqlJB/s1vflMq1x07diyrco8ePbock8PC62vTpk1dZbu+JY+bMmVKfP/73y+vORw8K83rrrtu2bd48eLyOnv27BLg62vbtu1S25bV/rvJYP/Rj350qe3rrLNOvPjii++pLQBYFQRsAGhhckh4Pk865yg//PDDcdNNN5W50xtssMFKz+3Oudc333xzeY/VVlutLI7229/+tu64D37wg0uF3QzfGbxXVq9evZYZpF966aWVbhsAqmAVcQBoQW699daywNgLL7xQhmXn8OmTTz45unbtWhYDW1E5JDwfo5Vzu7NyneE63XXXXQ2q30OGDCnb5s6dW3fu3XffHfPnz1/paxs0aFCZJ57XVn9e+JIrpANAU1HBBoAWJBc2y7B76KGHxkEHHVSGjOdQ8ZxfnXOhc4GwFbHxxhuX1b4vuOCCMuQ7f7Jyff3115f9tUCd73v77beXVcuz4p3Dus8555wGc7JXVIb7HP6ebef7pPPOO6+E99owdwBoSirYANCC9OjRI8aPHx9rrrlmeQTWwQcfXB6dlY/Eysr2isr2MszmcO98LNfRRx9dKuJXXnllCfGTJ08ux2200UZlW1bPc+XwPOeYY46JD3zgAyt9bVmFv/zyy8sibvn+OR98p512KiuJv9f53ACwKrRZXFuVBACgGfvrX/9ahqnvsMMOddsWLFhQHiW2yy67xHHHHdek/QMAQ8QBgPeFrJhnVTyHhw8ePLgMS89V0nP4+x577NHU3QMAFWwA4P0jV0O/+uqrY9q0aWVedw4PzyHrAwYMaOquAYCADQAAAFWwyBkAAABUQMAGAACACgjYAAAAUAEBGwAAACogYAMAAEAFBGwAAACogIANAAAAFRCwAQAAIFbe/wVIOM5qGQ7eigAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 1000x400 with 1 Axes>"
-      ]
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-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>ticker</th>\n",
-       "      <th>count</th>\n",
-       "      <th>pct</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>MKC</td>\n",
-       "      <td>5536</td>\n",
-       "      <td>1.12</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>F</td>\n",
-       "      <td>2773</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>BBY</td>\n",
-       "      <td>2770</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>CTAS</td>\n",
-       "      <td>2769</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>EOG</td>\n",
-       "      <td>2769</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>ORCL</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>MSFT</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>TROW</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>ADM</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>KO</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>XOM</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>WM</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>GD</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>GE</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>LH</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>GM</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>IBM</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>ABBV</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>PEP</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>MO</td>\n",
-       "      <td>2768</td>\n",
-       "      <td>0.56</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   ticker  count   pct\n",
-       "0     MKC   5536  1.12\n",
-       "1       F   2773  0.56\n",
-       "2     BBY   2770  0.56\n",
-       "3    CTAS   2769  0.56\n",
-       "4     EOG   2769  0.56\n",
-       "5    ORCL   2768  0.56\n",
-       "6    MSFT   2768  0.56\n",
-       "7    TROW   2768  0.56\n",
-       "8     ADM   2768  0.56\n",
-       "9      KO   2768  0.56\n",
-       "10    XOM   2768  0.56\n",
-       "11     WM   2768  0.56\n",
-       "12     GD   2768  0.56\n",
-       "13     GE   2768  0.56\n",
-       "14     LH   2768  0.56\n",
-       "15     GM   2768  0.56\n",
-       "16    IBM   2768  0.56\n",
-       "17   ABBV   2768  0.56\n",
-       "18    PEP   2768  0.56\n",
-       "19     MO   2768  0.56"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
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",
-      "text/plain": [
-       "<Figure size 1000x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Categorical summary exported.\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Categorical univariate analysis\n",
-    "existing_cats = [c for c in categorical_candidates if c in df.columns]\n",
-    "cat_freq_tables = {}\n",
-    "\n",
-    "for col in existing_cats:\n",
-    "    top_n = 20 if col == \"ticker\" else 10\n",
-    "    freq = (\n",
-    "        df[col]\n",
-    "        .fillna(\"<NA>\")\n",
-    "        .astype(str)\n",
-    "        .value_counts(dropna=False)\n",
-    "        .head(top_n)\n",
-    "        .rename_axis(col)\n",
-    "        .reset_index(name=\"count\")\n",
-    "    )\n",
-    "    freq[\"pct\"] = (freq[\"count\"] / len(df) * 100).round(2)\n",
-    "    cat_freq_tables[col] = freq\n",
-    "    display(freq)\n",
-    "\n",
-    "    plt.figure(figsize=(10, 4))\n",
-    "    sns.barplot(data=freq, x=col, y=\"count\", color=\"#2A9D8F\")\n",
-    "    plt.title(f\"Top categories: {col}\")\n",
-    "    plt.xticks(rotation=45, ha=\"right\")\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()\n",
-    "\n",
-    "if cat_freq_tables:\n",
-    "    cat_export = pd.concat(\n",
-    "        [v.assign(variable=k) for k, v in cat_freq_tables.items()],\n",
-    "        ignore_index=True\n",
-    "    )\n",
-    "    cat_export.to_csv(OUTPUT_DIR / \"categorical_univariate_summary.csv\", index=False)\n",
-    "    print(\"Categorical summary exported.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "49e0e643",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>count</th>\n",
-       "      <th>mean</th>\n",
-       "      <th>std</th>\n",
-       "      <th>min</th>\n",
-       "      <th>1%</th>\n",
-       "      <th>5%</th>\n",
-       "      <th>25%</th>\n",
-       "      <th>50%</th>\n",
-       "      <th>75%</th>\n",
-       "      <th>95%</th>\n",
-       "      <th>99%</th>\n",
-       "      <th>max</th>\n",
-       "      <th>missing_count</th>\n",
-       "      <th>missing_pct</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>dlyclose</th>\n",
-       "      <td>495710.0</td>\n",
-       "      <td>1.601598e+02</td>\n",
-       "      <td>2.813365e+02</td>\n",
-       "      <td>2.100000</td>\n",
-       "      <td>1.222000e+01</td>\n",
-       "      <td>2.432000e+01</td>\n",
-       "      <td>5.504000e+01</td>\n",
-       "      <td>9.162000e+01</td>\n",
-       "      <td>1.614575e+02</td>\n",
-       "      <td>4.665955e+02</td>\n",
-       "      <td>1.584326e+03</td>\n",
-       "      <td>5.300340e+03</td>\n",
-       "      <td>277</td>\n",
-       "      <td>0.06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dlyopen</th>\n",
-       "      <td>495710.0</td>\n",
-       "      <td>1.601440e+02</td>\n",
-       "      <td>2.813241e+02</td>\n",
-       "      <td>2.200000</td>\n",
-       "      <td>1.223000e+01</td>\n",
-       "      <td>2.430000e+01</td>\n",
-       "      <td>5.502000e+01</td>\n",
-       "      <td>9.160000e+01</td>\n",
-       "      <td>1.614500e+02</td>\n",
-       "      <td>4.665910e+02</td>\n",
-       "      <td>1.583609e+03</td>\n",
-       "      <td>5.300000e+03</td>\n",
-       "      <td>277</td>\n",
-       "      <td>0.06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dlyhigh</th>\n",
-       "      <td>495710.0</td>\n",
-       "      <td>1.617922e+02</td>\n",
-       "      <td>2.843553e+02</td>\n",
-       "      <td>2.600000</td>\n",
-       "      <td>1.240000e+01</td>\n",
-       "      <td>2.460000e+01</td>\n",
-       "      <td>5.556000e+01</td>\n",
-       "      <td>9.250000e+01</td>\n",
-       "      <td>1.630200e+02</td>\n",
-       "      <td>4.715255e+02</td>\n",
-       "      <td>1.598971e+03</td>\n",
-       "      <td>5.337240e+03</td>\n",
-       "      <td>277</td>\n",
-       "      <td>0.06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dlylow</th>\n",
-       "      <td>495710.0</td>\n",
-       "      <td>1.584577e+02</td>\n",
-       "      <td>2.782022e+02</td>\n",
-       "      <td>1.930000</td>\n",
-       "      <td>1.206000e+01</td>\n",
-       "      <td>2.400000e+01</td>\n",
-       "      <td>5.450000e+01</td>\n",
-       "      <td>9.068000e+01</td>\n",
-       "      <td>1.598600e+02</td>\n",
-       "      <td>4.615000e+02</td>\n",
-       "      <td>1.564992e+03</td>\n",
-       "      <td>5.260000e+03</td>\n",
-       "      <td>277</td>\n",
-       "      <td>0.06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dlyprc</th>\n",
-       "      <td>495986.0</td>\n",
-       "      <td>1.601263e+02</td>\n",
-       "      <td>2.812630e+02</td>\n",
-       "      <td>2.100000</td>\n",
-       "      <td>1.222000e+01</td>\n",
-       "      <td>2.433000e+01</td>\n",
-       "      <td>5.505000e+01</td>\n",
-       "      <td>9.162000e+01</td>\n",
-       "      <td>1.614200e+02</td>\n",
-       "      <td>4.664175e+02</td>\n",
-       "      <td>1.583995e+03</td>\n",
-       "      <td>5.300340e+03</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dlyret</th>\n",
-       "      <td>495984.0</td>\n",
-       "      <td>5.988227e-04</td>\n",
-       "      <td>1.823264e-02</td>\n",
-       "      <td>-0.538647</td>\n",
-       "      <td>-4.926100e-02</td>\n",
-       "      <td>-2.575985e-02</td>\n",
-       "      <td>-7.398000e-03</td>\n",
-       "      <td>7.570000e-04</td>\n",
-       "      <td>8.801000e-03</td>\n",
-       "      <td>2.591670e-02</td>\n",
-       "      <td>4.967668e-02</td>\n",
-       "      <td>6.464650e-01</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dlyretx</th>\n",
-       "      <td>495984.0</td>\n",
-       "      <td>5.085932e-04</td>\n",
-       "      <td>1.825545e-02</td>\n",
-       "      <td>-0.538647</td>\n",
-       "      <td>-4.943017e-02</td>\n",
-       "      <td>-2.591400e-02</td>\n",
-       "      <td>-7.513000e-03</td>\n",
-       "      <td>6.800000e-04</td>\n",
-       "      <td>8.735000e-03</td>\n",
-       "      <td>2.585185e-02</td>\n",
-       "      <td>4.960219e-02</td>\n",
-       "      <td>6.464650e-01</td>\n",
-       "      <td>3</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dlyvol</th>\n",
-       "      <td>495986.0</td>\n",
-       "      <td>6.450505e+06</td>\n",
-       "      <td>1.308824e+07</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.708975e+05</td>\n",
-       "      <td>4.565002e+05</td>\n",
-       "      <td>1.292174e+06</td>\n",
-       "      <td>2.667740e+06</td>\n",
-       "      <td>6.254771e+06</td>\n",
-       "      <td>2.457039e+07</td>\n",
-       "      <td>6.026766e+07</td>\n",
-       "      <td>6.575423e+08</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>shrout</th>\n",
-       "      <td>495987.0</td>\n",
-       "      <td>1.057452e+06</td>\n",
-       "      <td>1.747422e+06</td>\n",
-       "      <td>9064.000000</td>\n",
-       "      <td>2.382700e+04</td>\n",
-       "      <td>9.143800e+04</td>\n",
-       "      <td>2.361450e+05</td>\n",
-       "      <td>4.574510e+05</td>\n",
-       "      <td>9.941270e+05</td>\n",
-       "      <td>4.297435e+06</td>\n",
-       "      <td>8.698115e+06</td>\n",
-       "      <td>2.456884e+07</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dlycap</th>\n",
-       "      <td>495986.0</td>\n",
-       "      <td>1.019673e+08</td>\n",
-       "      <td>2.234875e+08</td>\n",
-       "      <td>38249.400000</td>\n",
-       "      <td>3.944609e+06</td>\n",
-       "      <td>9.853094e+06</td>\n",
-       "      <td>2.185659e+07</td>\n",
-       "      <td>4.445710e+07</td>\n",
-       "      <td>1.012785e+08</td>\n",
-       "      <td>3.253289e+08</td>\n",
-       "      <td>9.508571e+08</td>\n",
-       "      <td>3.915300e+09</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dlycumfacpr</th>\n",
-       "      <td>495987.0</td>\n",
-       "      <td>1.984955e+00</td>\n",
-       "      <td>5.277999e+00</td>\n",
-       "      <td>0.202170</td>\n",
-       "      <td>1.000000e+00</td>\n",
-       "      <td>1.000000e+00</td>\n",
-       "      <td>1.000000e+00</td>\n",
-       "      <td>1.000000e+00</td>\n",
-       "      <td>1.000000e+00</td>\n",
-       "      <td>4.000000e+00</td>\n",
-       "      <td>3.993800e+01</td>\n",
-       "      <td>7.000000e+01</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dlycumfacshr</th>\n",
-       "      <td>495987.0</td>\n",
-       "      <td>1.972130e+00</td>\n",
-       "      <td>5.266150e+00</td>\n",
-       "      <td>0.125000</td>\n",
-       "      <td>1.000000e+00</td>\n",
-       "      <td>1.000000e+00</td>\n",
-       "      <td>1.000000e+00</td>\n",
-       "      <td>1.000000e+00</td>\n",
-       "      <td>1.000000e+00</td>\n",
-       "      <td>4.000000e+00</td>\n",
-       "      <td>2.800000e+01</td>\n",
-       "      <td>7.000000e+01</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sprtrn</th>\n",
-       "      <td>495987.0</td>\n",
-       "      <td>4.797478e-04</td>\n",
-       "      <td>1.093422e-02</td>\n",
-       "      <td>-0.119841</td>\n",
-       "      <td>-3.203700e-02</td>\n",
-       "      <td>-1.640100e-02</td>\n",
-       "      <td>-3.750000e-03</td>\n",
-       "      <td>6.480000e-04</td>\n",
-       "      <td>5.675000e-03</td>\n",
-       "      <td>1.527000e-02</td>\n",
-       "      <td>2.596600e-02</td>\n",
-       "      <td>9.382800e-02</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>vwretd</th>\n",
-       "      <td>495987.0</td>\n",
-       "      <td>4.861167e-04</td>\n",
-       "      <td>1.079372e-02</td>\n",
-       "      <td>-0.118168</td>\n",
-       "      <td>-3.135100e-02</td>\n",
-       "      <td>-1.622000e-02</td>\n",
-       "      <td>-3.839000e-03</td>\n",
-       "      <td>7.010000e-04</td>\n",
-       "      <td>5.654000e-03</td>\n",
-       "      <td>1.541300e-02</td>\n",
-       "      <td>2.543700e-02</td>\n",
-       "      <td>9.155600e-02</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ewretd</th>\n",
-       "      <td>495987.0</td>\n",
-       "      <td>3.614409e-04</td>\n",
-       "      <td>1.053813e-02</td>\n",
-       "      <td>-0.107631</td>\n",
-       "      <td>-2.645500e-02</td>\n",
-       "      <td>-1.549600e-02</td>\n",
-       "      <td>-4.556000e-03</td>\n",
-       "      <td>7.110000e-04</td>\n",
-       "      <td>5.760000e-03</td>\n",
-       "      <td>1.548300e-02</td>\n",
-       "      <td>2.462600e-02</td>\n",
-       "      <td>8.217500e-02</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 count          mean           std           min            1%            5%           25%           50%           75%           95%           99%           max  missing_count  \\\n",
-       "dlyclose      495710.0  1.601598e+02  2.813365e+02      2.100000  1.222000e+01  2.432000e+01  5.504000e+01  9.162000e+01  1.614575e+02  4.665955e+02  1.584326e+03  5.300340e+03            277   \n",
-       "dlyopen       495710.0  1.601440e+02  2.813241e+02      2.200000  1.223000e+01  2.430000e+01  5.502000e+01  9.160000e+01  1.614500e+02  4.665910e+02  1.583609e+03  5.300000e+03            277   \n",
-       "dlyhigh       495710.0  1.617922e+02  2.843553e+02      2.600000  1.240000e+01  2.460000e+01  5.556000e+01  9.250000e+01  1.630200e+02  4.715255e+02  1.598971e+03  5.337240e+03            277   \n",
-       "dlylow        495710.0  1.584577e+02  2.782022e+02      1.930000  1.206000e+01  2.400000e+01  5.450000e+01  9.068000e+01  1.598600e+02  4.615000e+02  1.564992e+03  5.260000e+03            277   \n",
-       "dlyprc        495986.0  1.601263e+02  2.812630e+02      2.100000  1.222000e+01  2.433000e+01  5.505000e+01  9.162000e+01  1.614200e+02  4.664175e+02  1.583995e+03  5.300340e+03              1   \n",
-       "dlyret        495984.0  5.988227e-04  1.823264e-02     -0.538647 -4.926100e-02 -2.575985e-02 -7.398000e-03  7.570000e-04  8.801000e-03  2.591670e-02  4.967668e-02  6.464650e-01              3   \n",
-       "dlyretx       495984.0  5.085932e-04  1.825545e-02     -0.538647 -4.943017e-02 -2.591400e-02 -7.513000e-03  6.800000e-04  8.735000e-03  2.585185e-02  4.960219e-02  6.464650e-01              3   \n",
-       "dlyvol        495986.0  6.450505e+06  1.308824e+07      0.000000  1.708975e+05  4.565002e+05  1.292174e+06  2.667740e+06  6.254771e+06  2.457039e+07  6.026766e+07  6.575423e+08              1   \n",
-       "shrout        495987.0  1.057452e+06  1.747422e+06   9064.000000  2.382700e+04  9.143800e+04  2.361450e+05  4.574510e+05  9.941270e+05  4.297435e+06  8.698115e+06  2.456884e+07              0   \n",
-       "dlycap        495986.0  1.019673e+08  2.234875e+08  38249.400000  3.944609e+06  9.853094e+06  2.185659e+07  4.445710e+07  1.012785e+08  3.253289e+08  9.508571e+08  3.915300e+09              1   \n",
-       "dlycumfacpr   495987.0  1.984955e+00  5.277999e+00      0.202170  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  4.000000e+00  3.993800e+01  7.000000e+01              0   \n",
-       "dlycumfacshr  495987.0  1.972130e+00  5.266150e+00      0.125000  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  4.000000e+00  2.800000e+01  7.000000e+01              0   \n",
-       "sprtrn        495987.0  4.797478e-04  1.093422e-02     -0.119841 -3.203700e-02 -1.640100e-02 -3.750000e-03  6.480000e-04  5.675000e-03  1.527000e-02  2.596600e-02  9.382800e-02              0   \n",
-       "vwretd        495987.0  4.861167e-04  1.079372e-02     -0.118168 -3.135100e-02 -1.622000e-02 -3.839000e-03  7.010000e-04  5.654000e-03  1.541300e-02  2.543700e-02  9.155600e-02              0   \n",
-       "ewretd        495987.0  3.614409e-04  1.053813e-02     -0.107631 -2.645500e-02 -1.549600e-02 -4.556000e-03  7.110000e-04  5.760000e-03  1.548300e-02  2.462600e-02  8.217500e-02              0   \n",
-       "\n",
-       "              missing_pct  \n",
-       "dlyclose             0.06  \n",
-       "dlyopen              0.06  \n",
-       "dlyhigh              0.06  \n",
-       "dlylow               0.06  \n",
-       "dlyprc               0.00  \n",
-       "dlyret               0.00  \n",
-       "dlyretx              0.00  \n",
-       "dlyvol               0.00  \n",
-       "shrout               0.00  \n",
-       "dlycap               0.00  \n",
-       "dlycumfacpr          0.00  \n",
-       "dlycumfacshr         0.00  \n",
-       "sprtrn               0.00  \n",
-       "vwretd               0.00  \n",
-       "ewretd               0.00  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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Q2xpMs/fBqddPVNouoE34nPDd4XjCMdYNvzuRJ8YAAAASVVyDTzpb3M6dO4OFvm0PPvigvPnmm2ao27Zt28Ies283bNgwmNGj9+lMdKHLtGzZ0lyPxToqSouYN2/eXKJJz7BqR7dJkybis0Tq168nP28rqktVrWpVc7v6lqJtT0pOkdatW4sXhLaLHVT0OtqENuFzwneH40nlPcauW7cu6usEAABwZfBp3LhxwSwcW/fu3WXw4MFy6aWXyuuvvy5z5swxhbFTUlLM44sXL5amTZtK3bp1pWbNmmaGvCVLlgQDR1pDauXKldKnTx9zu0OHDo6vo6I0Xf5IMqcORzu62Xn5JsBlp+WnpqaY26kpqcGUfadeP1Fpu3htn0tDm9AmfE747nA8qXzHWIbcAQCAyiSuBcc1a+j3v/992J/SgI4+1qtXLzlw4IDce++95gzf/PnzZebMmTJw4MBgurkGiDSI9f7775uZ64YMGWIylTSIpWKxjkTnL4yc7a4oGOXz+eO6XQAAAAAAwP3iXnD8cDQINW3aNBk9erT07NlT6tevb2bG0+s2zZLSoXM6W55mUWmW0vTp002GTyzXkcgse7a7QAZUclJREMpfSPAJAAAAAAB4LPi0Zs2asNtt27aVuXPnlri8DoO76667zF9JYrGORFYYmN0uKSLzye8vCkoBAAAAAAC4ctgdYqMwkPmUEgg62cPvtIYVAAAAAACAkwg+eUChXfMpMNzOLlLqI/gEAAAAAAAcRvDJAwqtosynJDvzKRB88gcyogAAAAAAAJxC8MlLmU/Bmk8MuwMAAAAAALFB8MlDNZ+Cs90FMqAYdgcAAAAAAJxG8MkD7Nnu7IynpEDtJ2a7AwAATtq8eXPYJQAA8CaCTx7OfGK2OwAA4KSsrKywSwAA4E0EnzyY+WTPekfBcQAAAAAA4DSCT17KfAoWHA/UfPL547pdAAAAAADA/Qg+eYBlZz7Zw+4Cl/5Cgk8AAAAAAMBZBJ88mflEwXEAAAAAABAbBJ88wK7tZA+3SwpkPvkC9wMAAAAAADiF4JMHWIX2sLuIzCdqPgEAAAAAAIcRfPKAQqsowykpkPlEzScAAAAAABArBJ88oDCQ+ZRCzScAAAAAABBjBJ88VHDcrvVk137yMdsdAAAAAABwGMEnDyi0AjWfAplPdhCKmk8AAAAAAMBpBJ88lPlkZzzZhcftWfAAAAAAAACcQvDJQzWfDs52Fxh25/fHdbsAAAAAAID7EXzy0Gx3wcynwPA7P8EnAAAAAADgMIJPHsx8CtZ88jPsDgAAAAAAOIvgkwdYh2Q+BYJPhYViBYqRAwAAAAAAOIHgkwf47cynwHA7OwOq6DGynwAAAAAAgHMIPnkp8ykpPPNJ+Xy+uG0XAAAAAABwP4JPLqfD6uyRdcVlPvmo+wQAAAAAABxE8MnlCkOG1UXWfFLMeAcAAAAAAJxE8MnlCkMKituZT/Zsd4rgEwAAAAAAcBLBJy9lPgWCThp8sgNQBX5/3LYNAAAAAAC4H8EnlysMzHQXmvlkrgeCT2Q+AQAAAAAAJxF88lDmU+hwOzsQ5afgOAAAAAAAcBDBJ4/UfArNeiq6XRSI8jHsDgAAAAAAOIjgk0cyn1JCZrgLzYLy+aj5BAAAAAAAnEPwySM1n5KSIjKfArep+QQAAAAAAJxE8MnlCq3CsGF2hwy7KyTzCQAAAAAAOIfgk0cyn+xMJ5tdA4phdwAAAAAAwEkEnzya+RSs+UTBcQAAAAAA4CCCT17JfIqY7S4lcJuaTwAAAAAAwEkEn1zOsjOfAplOkZlPfn/R4wAAAAAAAE4g+OTRzCd7GF6B3xeX7QIAAAAAAN5A8Mnl/IUlzHYXKEBO5hMAAAAAAHASwSeXs0qc7c4eduePy3YBAAAAAABvIPjkkdnukg6Z7a7orWe2OwAAAAAA4CSCTx6p+WTPbheZ+eTzkfkEAAAAAAAqWfBpy5YtZV52586dctddd0mnTp2kffv2ctNNN8n69euDj69atUr69Okj7dq1k27dusmsWbPCnl9YWChPPfWUdOnSxSwzYMAA2bRpU9gysVhHotJ9C53dzmbPfsewOwAAAAAAkHDBp9atW8u3335b7GPLly+XCy+8sMzrGjRokGzcuFGmTp0qr732mlSpUkWuv/56ycnJkd27d0u/fv3k+OOPl3nz5pllx40bZ67bJk+eLLNnz5ZRo0bJnDlzTLClf//+kp+fbx6P1ToSVaFV0mx3gWF3hWQ+AQAAAAAA56SWdcEZM2ZIdna2uW5Zlrz66quyaNGiQ5b7+uuvJT09vUzr3Lt3rxxzzDEycOBAadGihbnv1ltvlT/96U+ydu1a+eKLLyQtLU1Gjhwpqamp0qxZs2CgqlevXiY4pNs1bNgw6dq1q3n+xIkTTQbTO++8Iz169JBXXnnF8XVUhswnO9Pp0ILjRY8DAAAAAADENfiUl5cnTz/9dHAIlwafImk2Tc2aNeWWW24p0zqPOuooGT9+fPD2rl27ZObMmdKoUSNp3ry5TJo0STp27GgCPjYdnjdlyhTZsWOH/Pbbb5KVlSWdO3cOPl6rVi3JzMyUZcuWmcCRZmI5vY569epJwgefIjKfggXHfb64bBcAAAAAAPCGMgefNKBkB5VatWplsoHatm0btQ25//77zTo1a+qZZ56RatWqmdpRdkaUrUGDBuZy8+bNwdpSjRs3PmQZ+7FYrKOiwSfNILOzyaJFhyval35LpCAQXNI8p4KCgtBXDyyXG/VtSESh7QLahM8J3x2OJxxjK/vvjvYhIus5AgAAVPrgU6jVq1dHfUOuu+466d27t7z00kumppLWYMrNzT1kCF9GRkYwE8vu0BW3jA7pU7FYR0VpMEgLmTthw4YNUrtefdm/f7+5rcMLt2/fcfC1A/Wsftu82bFtSETaLqBN+Jzw3eF4wjHWDb87ZS1zAAAAUCmDT+qzzz6TDz/80ARv7KFdNj0TN2bMmHKtT4fZqdGjR8uKFSvkxRdfNMXH7aLfNjvYo5lR+rjSZezr9jJVq1Y112OxjorSOlL2fkeLvh/a0W3SpIn4rIPbp/tSv/7BDK2qVX82l3Xq1jUF5N0utF3s99XraBPahM8J3x2OJ5X3GLtu3bqorxMAACChgk9aoPuxxx4z2T916tQ5JO27rGngWuNJi4r/8Y9/DNZT0tpEGpDZtm2bqf2kl6Hs2w0bNgzWK9L7dCa60GVatmxprsdiHRWl7XQkwavD0Y5udl6+voi5nZqaYoJdtpSUFHOZnJLi2DYkIm0XL+1vWdAmtAmfE747HE8q3zGWIXcAAMD1wSfNSrrkkktMltKRpHxrse6hQ4fKtGnTzOxy9lC0lStXSrdu3UwtpTlz5ojf7w8GSxYvXixNmzaVunXrmuLmNWrUkCVLlgQDR/v27TPP79Onj7ndoUMHx9eRyKzCotpOyYEC47aUQAFy3ScAAAAAAACnhEckyhE0uuKKK4641oAW8T7nnHPkkUceMTPL/fDDDzJixAgT/Ln++uulV69ecuDAAbn33ntNevn8+fPNbHgDBw40z9fX1wDRuHHj5P333ze1qIYMGWIylbp3726WicU6ElmhZc92V3x2ms8fPmQSAAAAAAAg7plPmZmZsnbtWjnjjDOOeAMmTJgg48ePNwEfLY59+umnm6Ljv/vd78zjmhWlGVY9e/aU+vXry/Dhw8112+DBg83Qufvuu88UBtcspenTpweHmGlmUizWkaj8duZTINPJZt+2hx0CAAAAAAAkTPDpb3/7m9x5552mhsEpp5xSbCFNO3hUGh329tBDD5m/4rRt21bmzp1b4vN1GNxdd91l/koSi3UkKitQDD45og6XfdtP5hMAAAAAAEi04NNVV11lZrjTIFRJBS9XrVp1pNuGKCi0ijKfkkrKfCqk5hMAAAAAAEiw4NOoUaOYZaWS0CChSimh5hMFxwEAAAAAQMIFny6//PLobwkcURio+ZQUMdudXYDc5yPzCQAAAAAAJFjwSWemK40W7UbiznaXHAhG+fwEnwAAAAAAQIIFn/r27WuGbVmBekIqsvYTNZ8SK/PJDjbZ7GAUw+4AAIATBg4cGLy+aNEi81cRU6ZMKdNrlGX5ijynIq/hNK/uN5xT3PuteM9jb+jQoZKVlRW8Xb16dTNDPFARiXQsD49IlNGsWbPk+eefN5f23zPPPCM33nij1KtXT15++eXobymOqObTIZlPgYLjzHYHAABi9Q/ZaK6rvPdHc13R3L/y8up+wzkV+ezAufciNPCk9DbvAyoi0Y7lFQo+dezY8ZC/rl27yrBhw8xMeBqIQmLNdmcHmyIz1Qr8vrhsFwAAcCcnOrWR6yztNYp7vLzPqchrOM2r+w3nlOX95D2PDb57cPvnqULBp8M5/fTTZenSpdFeLY408yliWKR9m8wnAAAQLU52Zu11R76GDh+w/0ralvI+J3L5iRMnyk033WQuS3oNp3l1v+Gc4t7H4t7vkpZFdIfa2Zo0aRL2XdXbxS0HlKS4Y799PD/ccpUu+PTBBx+YcalI7Myng8PuKDgOAAAqp8ggSlnqWJT3ORV5Dad5db/hrNCgE+93bIUOtbvnnnvCHgu9HTkkDyhN5He5uOByQhccv/baa4vNsNmyZYv8+uuvMmDAgGhsGxyt+RQYducj+AQAAAAAABIs+BQ6y11oJk2LFi1M6lavXr2isW2IAvu9ipztLilwm8wnAAAAAACQcMPuXnjhhUP+dMa7yZMny5VXXnnIEC8kXuZTSuC2v5DMJwAAUDmVt1h2RZ5Tkddwmlf3G84aMmRI8Drvd2yFlq159NFHwx4LvU15G5RX5Hc59HteKTKfbIsWLTLFxfft2yd16tSR0047Tbp06RK9rcMR8weDT8VnPvn8RY8DAABEo7aEU/9otetWRL5GSa8XWueivM+JXL6kznos6+J4db8R2+/r1KlTS1wWzpkwYULwvdiwYUOJ31VdDnDi9yIWKpSilJ+fL/379zfV0p977jlTZPyf//ynud2vXz/zOBIr8ynlkILjRZlPPp8vLtsFAADcyYnO7JEWy67IcyryGk7z6n7DORUpVo/4vBe8D6jsn6cKBZ8mTZokX375pTz22GPy7bffyqeffiorVqwwKYHffPONPPPMM9HfUkQ18yk5KTDsjswnAAAQZdHs1Ja0rvLeH811xfMfgV7dbzinIp8dOPdeRA6t09u8D6iIRDuWV2jY3X/+8x+57bbb5NJLLz24otRUueyyy2Tnzp3y8ssvyx133BHN7UQFFRYGCo4fkvlkD7uj5hMAAIg+7dy+9NJLpkzDOeecI9dcc40jr+H0c3T57OxsWbVqlbRu3VqqVasm8ebV/YZzeL8TB0PrEE32sT/0eB4vFcp82rVrl2RmZhb7mN6/devWI90uRL3geGTNJzvzieATAAAAAABIsODT8ccfb4bdFWfZsmXSuHHjI90uOF7zicwnAAAAAACQoMPu/vKXv8jYsWOlSpUqcvHFF0u9evVkx44dZjieFh7XIXlItJpPRZlOkTWfGHYHAAAAAAASLvh01VVXycqVK2XcuHEyfvz44P2WZUnPnj3NrHeoHJlPFBwHAAAAAAAJF3zKz8+X0aNHyw033CBLly6VvXv3mhpC559/vjRr1iz6W4mo13yyM6HIfAIAAAAAAAlT82nNmjXSq1cvee6558xtDTRpFtTVV18tTz75pAwdOlR++uknp7YVRzTsrviC4wSfAAAAAABAQgSffvnlF7n22mtNbaemTZuGPZaWlibDhw+XPXv2mEAUs90lBh0GWVhoFZ/5lGQPu2O2OwAAAAAAkADBp6lTp8rRRx8t//rXv+SCCy4Ie6xq1apy/fXXy2uvvSYZGRkyZcoUJ7YV5RQaWDq05hOZTwAAAAAAIIGCT1988YX0799f6tSpU+Iy9evXN3WgPvvss2htH45A6JC6Q2s+Fd32+ch8AgAAAAAACRB82rZtmzRp0qTU5Vq0aCFbtmw50u1CFBSEBJZSAplOkTWfGHYHAAAAAAASIvikGU8agCrN7t275aijjjrS7YLDmU/2MDwtSK61oQAAAAAAAOIafOrQoYPMnz+/1OUWLFggmZmZR7pdiAKfzxfMcrIznWyht+0Z8QAAAAAAAOIWfOrbt68sWbJExo4dK3l5eYc8np+fL4899pgsWrRIrrnmmmhvJyrArucUWWw8tOB4aJAKAAAAAAAg2lLLumCbNm3knnvukTFjxsjrr78unTt3lmOPPdbUDPrtt99MYEqH3N1xxx3SpUuXqG8oyq8gEFQKDTTZkpMOBqR8fjKfAAAAAABAnINPSjOaWrVqJdOnT5f3338/mAFVvXp1Ofvss81Md6eccopDm4qK1nyKrPdUdF/IsLuQ2lAAAAAAAABxCz6p0047zfypXbt2SWpqqtSqVSuqG4XoDrsrLvgUVvOJ4BMAAAAAAEiU4FPkDHhIXD6/r8SaTxp80vu12HgBwScAAAAAABDvguOofAoOk/mkUlKK7ifzCQAAAAAAOIXgkwdqPhWX+WTuT0kxl34KjgMAAAAAAIcQfHIx32Fmu1OpgeCTHaQCAAAAAACINoJPHi04HpoRZS8HAAAAAAAQbQSfXKwgUHC8xOBTqj3sjuATAAAAAABwBsEnF7Mzmkqq+ZSaHBh2V0jwCQAAAAAAOIPgk5eH3QVmu2PYHQAAAAAAcArBJxcrCBYcL6nmEwXHAQAAAACAswg+uZg9i11Jw+6o+QQAAAAAAFwffNqzZ4888MADcs4558ipp54qV111lSxfvjz4+BdffCGXX365nHLKKXLBBRfIG2+8Efb8vLw8efjhh6Vz587Svn17+etf/yq7du0KWyYW60hEvmDmU1Kxj6cGglJ+f2FMtwsAAAAAAHhH3INPQ4cOla+//lomTJgg8+bNk9atW8uNN94oP/74o6xfv14GDhwoXbp0kfnz58uVV14pw4cPN4Eg20MPPSSffvqpTJo0SZ5//nnzvMGDBwcfj9U6KmXmU6Dmkz0rHgAAAAAAQLSlShxt3LhRPvvsM5k9e7acdtpp5r77779fPvnkE1m4cKHs3LlTWrZsKUOGDDGPNWvWTFauXCnTpk0zWUpbt26VBQsWyLPPPiunn366WUaDWJqZpAEtzWLSYJLT60hUBaUVHA/UfCLzCQAAAAAAuDLzqXbt2jJ16lRp06ZN8L6kpCTzt2/fPjP8LjK406lTJ/nyyy/Fsixzad9na9q0qTRs2FCWLVtmbsdiHYme+VRS8Ck11Q4+FS0HAAAAAADgquBTrVq15Nxzz5X09PTgfW+//bbJiNIhblu2bJFGjRqFPadBgwaSk5Mju3fvNllLGsDKyMg4ZBl9rorFOhK/5lNJmU/JYUEqAAAAAAAAVw27i/TVV1/JPffcI927d5euXbtKbm5uWGBK2bfz8/NN8CfycaWBJC0irmKxjorSrKns7GyJJt0f+zK/oMBcT7IsKQhcD2UHpXQbor0diSa0XUCb8Dnhu8PxhGNsZf/d0T6EZooDAABUBgkTfHrvvfdk2LBhZsa7cePGBQNAkcEd+3bVqlWlSpUqxQZ/NGikj8dqHRWlAaFVq1aJEzZs2CA5Obnmem5unmzfvqOYpYqGDP686RfHtiPRaLuANuFzwneH4wnHWDf87hR38gwAACARJUTw6cUXX5TRo0ebIt9///vfg52pxo0by7Zt28KW1dvVqlWTmjVrmqFwe/bsMYGg0A6YLqM1m2K1jopKS0uT5s2bSzTpGVbt6DZp0kSSkotm46tRo7rUr1/vkGW37N5rLnU/dZZBNwttlyMJGLoJbUKb8Dnhu8PxpPIeY9etWxf1dQIAALg2+KQz3Y0aNUr69u0r9957b1gKuc4+t3Tp0rDlFy9ebLKjdMiYzpBXWFhoCn/bBcF/+uknU8epQ4cOMVtHRem+agDLCdrRtWexS0tNNYGuSKmpRW9/SmqqY9uRaLRdvLKvZUWb0CZ8TvjucDypfMdYhtwBAIDKJK4FxzXIM2bMGPnDH/4gAwcOlB07dsj27dvN3/79+01A6ttvvzXD8NavXy8zZsyQ//73v9K/f/9gxs7FF18s9913nyxZssQsO3ToUOnYsaO0a9fOLBOLdSQqnz9QcDyllILjgcLkAAAAAAAArsp80pnttO7Ru+++a/5C9ezZU8aOHSuTJ0+Wxx9/XJ5//nk59thjzXU7Q0lp1pQGsG677TZz+5xzzjGBJNuJJ54Yk3UkogJf0Sx2yUnFB59SU1LMpS+QIQUAAAAAAOCq4NPNN99s/g5HA0H6VxJNZX/kkUfMXzzXkYj8/qLgU0pJmU+B4JO9HAAAAAAAgKuG3cFZBYHhdCXVpbKDUj6CTwAAAAAAwCEEn1zMDiolJx8s4h4qJdkedkfmEwAAAAAAcAbBJw9kPtmFxSOlpjLsDgAAAAAAOIvgk4v57YLjyaXMdkfBcQAAAAAA4BCCTy5mz3aXUlrNp0CGFAAAAAAAQLQRfHKxAn+g4HhSSZlP9rC7wphuFwAAAAAA8A6CT14YdhfIcCqp5pOvkILjAAAAAADAGQSfPFBwPDmppNnuit5+P7PdAQAAAAAAhxB8cjFfIKhk13aKlJISyHwKZEgBAAAAAABEG8EnF7ODSiXVfEpLSzWXefn5Md0uAAAAAADgHQSfPJz5lJGWbi7z8gtiul0AAAAAAMA7CD55ouZTCcGn9DRzSeYTAAAAAABwCsEnD2Q+lTTbXUZ6UeZTbh7D7gAAAAAAgDMIPrmYL5D5ZM9qV1LmUy41nwAAAAAAgEMIPnmi4HhSsY+npzHsDgAAOKd69ephlwAAwJsIPrmU318ohZZVyrA7O/hEwXEAABB9jRs3DrsEAADeRPDJpXz+oiF3KqXEguPUfAIAAAAAAM4i+ORSBYEhd2XLfKLgOAAAAAAAcAbBJ5cXG1fJZD4BAAAAAIA4Ifjk8swnrTWenEzBcQAAAAAAEB8En1xe86mkrKfQYXcFPp/4/QeH6QEAAAAAAEQLwSeXZz6VVO8ptOC4yitgxjsAAAAAABB9BJ9cXvPpcJlP6YHMJ5WbR9FxAAAAAAAQfQSfXJ75lJJc8lusj6WlpprreQSfAAAAAACAAwg+uT3zqYRi45FD7xh2BwAAAAAAnEDwyaUK/KVnPqkqGUXBp9y8vJhsFwAAAAAA8BaCT67PfEouW+ZTPjWfAAAAAABA9BF8cimfPdtdmTOfCD4BAAAAAIDoI/jkUgWBzKfSht1lBGa8yyXzCQAAAAAAOIDgk0v5AjWfyjrsLj+/ICbbBQAAAAAAvIXgk8szn0oddhcIPjHsDgAAAAAAOIHgk8trPqUkJ5Wt5hPD7gAAAAAAgAMIPnk88yk42x0FxwEAAAAAgAMIPonXaz4VFRzPI/MJAAAAAAA4gOCTx2e7q5KRYS4ZdgcAAAAAAJxA8MnlNZ8YdgcAAAAAAOKJ4JPXZ7uj4DgAAAAAAHAQwSfX13xKKlPNp1wKjgMAAAAAAAcQfHKpgoKy1XyyZ7vLLyiIyXYBAAAAAABvIfjk8dnugsPuyHwCAAAAAAAOIPjk9dnuAplPzHYHAAAAAACcQPDJ45lPGYHMpzwynwAAAAAAgAMIPrm85lOpwac0Mp8AAAAAAIBHgk9TpkyRvn37ht23atUq6dOnj7Rr1066desms2bNCnu8sLBQnnrqKenSpYtZZsCAAbJp06aYryPR+Mo67M7OfMrPj8l2AQAAAAAAb0mY4NNLL70kTzzxRNh9u3fvln79+snxxx8v8+bNk0GDBsm4cePMddvkyZNl9uzZMmrUKJkzZ44JJPXv31/yA8GUWK0jcYfdJZVptjuG3QEAAAAAACekSpxt3bpVHnzwQVmyZIk0adIk7LFXXnlF0tLSZOTIkZKamirNmjWTjRs3ytSpU6VXr14mODRjxgwZNmyYdO3a1Txn4sSJJoPpnXfekR49esRkHYlccLzMs92R+QQAAAAAANyY+fT999+bwM6///1vOeWUU8IeW758uXTs2NEEfGydOnWSDRs2yI4dO2T16tWSlZUlnTt3Dj5eq1YtyczMlGXLlsVsHYnI5/OXa7Y7ht0BAAAAAABXZj5p/ST9K86WLVukRYsWYfc1aNDAXG7evNk8rho3bnzIMvZjsVhHvXr1pLJmPqWnp5nLvPyCmGwXAAAAAADwlrgHnw4nNzdX0gOZObaMjAxzmZeXJzk5OeZ6ccvs3bs3ZuuoKMuyJDs7W6LJ3h87mGRZhVJQUHxgye/3i1VYlCGVm5cf9W1JJHa72JegTfic8N3heMIxtjL/7mgfIinp8HUdAQAAEkVCB5+qVKkSLPpts4M91apVM48rXca+bi9TtWrVmK2jojQopLPoOeHAgQPmMutAlmzfXvzQQB1u+POGjeZ6fkGBfP/9ylILlFd2OlQStAmfE747HE84xrrhdyfyxBgAAECiSujgU6NGjWTbtm1h99m3GzZsKL7A0DK9T2eiC12mZcuWMVtHRWmtq+bNm0s06RlW7eimphUNpzvq6KOkfv3ihwVWr15d2px8UvD2Cc2bSdVARpfb2O2iRe3toKLX0Sa0CZ8TvjscTyrvMXbdunVRXycAAIAng08dOnSQOXPmmOFhKSkp5r7FixdL06ZNpW7dulKzZk2pUaOGmSnPDhzt27dPVq5cKX369InZOipK0+WPJHPqcPyFlrlMT0szQa7i6L4cXatm8HZySqpj25Mo9B8Abt/H8qJNaBM+J3x3OJ5UvmMsQ+4AAEBlEvfZ7g6nV69eZvjYvffea87wzZ8/X2bOnCkDBw4MpptrgGjcuHHy/vvvm5nrhgwZYjKVunfvHrN1JCKfv2wFx1NTUsyfihxaCAAAAAAA4OrMJ80qmjZtmowePVp69uwp9evXl+HDh5vrtsGDB5uhc/fdd58pDK5ZStOnTw9m+8RqHYmmwFdUSDyllOCTyshIF192jik6DgAAAAAA4Nrg09ixYw+5r23btjJ37twSn6NDx+666y7zV5JYrCPR2LWsSst8UlXS0yVLg09kPgEAAAAAAC8Nu0NsMp+qZBTNlpNH5hMAAAAAAIgygk8u5fP7y5z5pEXJVV5BgePbBQAAAAAAvIXgk0sVBIfdJZU584maTwAAAAAAINoIPrmUrzzD7tIDw+6o+QQAAAAAAKKM4JNLlafguM52p8h8AgAAAAAA0UbwyaXKU/PJznzKzc9zfLsAAAAAAIC3EHxyocJCKxh8Ksuwu4zgsDsKjgMAAAAAgOgi+ORC/sKiwFN5h93l5eU7ul0AAAAAAMB7CD65kN9fGLxeptnugsPuCD4BAAAAAIDoIvjkQvaQuzIPuyPzCQAAAAAAOITgk8szn5KSSs98ykhLM5fUfAIAAAAAANFG8MnFmU9pqallCj5VCWQ+MewOAAAAAABEG8EnF/IFCo6npqSUafngbHcUHAcAAAAAAFFG8MmFfL6iYXepqWULPh3MfMpzdLsAAAAAAID3EHxyoSoZRTWcjq5Zs2zL27PdkfkEAAAAAACiLDXaK0T81T2qlkwYcYfUPuoo+fL7VaUunx4IPuUXFMRg6wAAAAAAgJeQ+eRS551xmrRoenz5ht2R+QQAAAAAAKKM4BMODrvLz6c1AAAAAABAVBF8gmQEMp+Y7Q4AAAAAAEQbwSeQ+QQAABzxu9/9Tk488URzCQAAvIuC45CM9KLZ8fLyKTgOAACi57jjjpNhw4bRpAAAeByZT5CM9AzTCgy7AwAAAAAA0UbwCQdnu6PgOAAAAAAAiDKCTwgGn/Ly88WyLFoEAAAAAABEDcEnSLUqVYKtsD8rmxYBAAAAAABRQ/AJUrVKhtSvU9u0xIZffqNFAAAAAABA1BB8gnHCcceYyx83/UqLAAAAAACAqCH4BIPgEwAAAAAAcALBJxgnHPc7c/njL2Q+AQAAAACA6CH4hIjMJ2o+AQAAAACA6CH4hLDg08+/bZECn49WAQAAAAAAUUHwCUajenWlakaGCTz9smUbrQIAAAAAAKKC4BOKPgjJydLUrvvEjHcAAAAAACBKCD4h6IRj7bpPFB0HAAAAAADRQfAJQU2DRccJPgEAAAAAgOgg+IRDio7/RPAJAAAAAABECcEnBJ0QrPn0m1iWRcsAAAAAAIAjRvAJQU2OaSxJSUmy98AB2bV3Hy0DAAAAAACOGMEnD9NA047de4J/B7JzpFG9uuaxr1eukQPZ2fHeRAAAAAAAUMmlxnsDED95+fky7+0Pwu5LSyv6SMxa8Ia0a91CalSrFqetAwAAAAAAbkDmE8I0Pbao7tOyb1fKN6t+oHUAAAAAAMARIfMJYU4+8QT5bet2Wbtxk9w7YbLUqlHdDM9LT0uVNi2aS3JyeLxSC5MX+HySnpZGSwIAAAAAgEMQfEIYDTR163y67Nm/X7bv2iN973ow+NgxDevLZed3lRrVqsrm7Tvlx02/yqr1P8m+A1lyzaUXyN0Drj0kOJUI1vy0Uaa/skAa16klrVq1ivfmAAAAAADgKQSfyqGwsFCefvppefXVV2X//v3SoUMHeeCBB+S4444TN0lLTZWLzj1LPvtyhZn5Tus+aUHyX7dul3+89Gqxz5k5/z+ybecu+fuw2yU9PTGyoHbv2y9PzHxZXnnrPfPeqV927JFHhtwqVatkiFdt3blLZv3rDcnOyZHc7GzpllMgfzi7U7w3CwAAAADgUgSfymHy5Mkye/ZsGTt2rDRq1Egef/xx6d+/vyxcuFDS09PFTWpWryazHn/YDKuzi5N/vPRr+XjpV5KWmiIN6taRYxs3kGbHHSubNm+VR6fMlDc//ly27tgljwy5WWrVqCFVMtLjVrB87YZNMuC+0bJ5+w5z+5RWJ8p3a9bJfz76TFb9uEEeH36H/P6YRp4rqL76xw0y8P5HZcuOncH75n/wqQzs3VOG9LvaZL4BAAAAABBNBJ/KKD8/X2bMmCHDhg2Trl27mvsmTpwoXbp0kXfeeUd69OghXpgN7+QWJwSvX9Clc/Dxi7qeJW99/Ll8+f1q+cud95rbt/X5c8yDOxos0wDZX8c+KQeys+WomjWkW6fTpUGdo6VW1QxZvmqtrP/5V7l2+IMyddTf5LSTW4tXvPf5Uhn++CTJys6RE447Rrp2PFV++uVX+XDJVzJl7r9kw6+b5e6brpOMkMy1eAYQgUTj9/vNMN4vvv5Wfvn1N/GlpMtpbTIlNSUl3psGAAAAJDSCT2W0evVqycrKks6dOwfvq1WrlmRmZsqyZctcGXwqj+MbN5RefzxP3vjoM9l7IEte++/7snnbTjnrtLbSsunv5ZiGDaRhvTpmSF806DC6Pfv2y/bde2Tzth2y8bct5h+Fnyz/xgz/s7OdTm/TWqpmZEhBQYHUr3209Dz/XHlz0Rfmubc+9Hf56w3XyHmdTpf6dWqLG2k7/bDhZxk/4yVZtOxrc1/Htpny9APDJS0lWbZs3yGFhZYsWv6NvP3pYvnsqxVyeptMaX3C7yUlJUWu6vFHgk8ekp9fIOs3/SLfrllnPgtLVnxvgpXJSUlS+6ia0rl9Wznr1FPk5BbN5LjGDT0RdDmQnSNffb9a3vz4MxPA3Z+VHXxs9lsfmO+HBnIvPPdM6dSujamJByidjMPvLxryDQAA4HVJlj2uCoel2U233367rFixQqpUqRK8/4477pDc3FyZMmVKuVrwq6++Mlk6aVGeJU7X6fP5JDU1VfSNPRDyD6VI+o8k/YdVNB/X18/JyzMZAsVJSkqW5OQk0f/p/4P3h/xXxDLbrv8x18Iui17DXq7410iSalWqSM0a1c0/nO0lC/1+SdZ/LFuWZOfmSWHhwW1MSU4xL29vl7mMuop91Sr6BdVmKnof7DUkmffMnsFQ21GDUwdycs1yuXn5YlkH/6Gky2gAquSWiHYbHX5PHTlQFbNS/ayV5/0vfbtidIi1jnwrimqjlXV7kyRFJxiIyvembK/paEsWs3J/YWHYd8I+hunsnyq/wFfs43a7hN1fzLX4sBxbkx5TKtXQ3Sh/oOzfJ/tP79HPg2be6m9ytOlJFW3vU0899YjWY/dHylo+wMxyW1Bg+i+V6v0+Quw377cX8Dnnc+4FfM7Tov77raPEytInIfOpjHJyioIYkZ2zjIwM2bt3b7nfIPsNj/Ybr+sL3UYddnY4Tjx+tNSURFHS9h9dK3G2MV70s6KzEx5dynsMAEjMY3g0+hDlXUdkP8Mr2G9v4f32Ft5vb+H9jl+fhOBTGdnZThrVC818ysvLk6pVyz/Mon379uV+DgAAQDTRHwEAALGQHJNXcYHGjRuby23btoXdr7cbNmwYp60CAAAAAABIbASfyqhVq1ZSo0YNWbJkSfC+ffv2ycqVK6VDhw5OvT8AAAAAAACVGsPuykjrG/Tp00fGjRsnderUkWOOOUYef/xxadSokXTv3t3ZdwkAAAAAAKCSIvhUDoMHDzYzyd13331mhjvNeJo+fXrUZ6wDAAAAAABwiyTr4Lz1AAAAAAAAQFRR8wkAAAAAAACOIfgEAAAAAAAAxxB8AgAAAAAAgGMIPgEAAAAAAMAxBJ8AAAAAAADgGIJPAAAAAAAAcAzBJxcpLCyUp556Srp06SLt2rWTAQMGyKZNm8SrpkyZIn379g27b9WqVdKnTx/TPt26dZNZs2bFbftiZc+ePfLAAw/IOeecI6eeeqpcddVVsnz58uDjX3zxhVx++eVyyimnyAUXXCBvvPGGuN3OnTvlrrvukk6dOkn79u3lpptukvXr13v6cxLqp59+Mu0yf/58T7fJ1q1bpWXLlof82e3ixTZRCxYskIsuukjatGkjF198sbz11lvBx3755RcZOHCgOdacffbZ8sQTT4jf7xe3WrJkSbGfEf37v//7P1e1iVf7GKUdB9zIq/2n4vb7vvvuO+S91/2v7LzaNyxtv/v163fI+x35maiMvNrvLW2/3fr9Tuj+vAXXmDRpknXGGWdYH374obVq1SrrhhtusLp3727l5eVZXvPiiy9arVq1svr06RO8b9euXaZ97rnnHmv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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x400 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Numeric univariate analysis\n",
-    "num_cols = [c for c in numeric_candidates if c in df.columns]\n",
-    "\n",
-    "if num_cols:\n",
-    "    desc = df[num_cols].describe(percentiles=[0.01, 0.05, 0.25, 0.5, 0.75, 0.95, 0.99]).T\n",
-    "    desc[\"missing_count\"] = df[num_cols].isna().sum()\n",
-    "    desc[\"missing_pct\"] = (df[num_cols].isna().mean() * 100).round(2)\n",
-    "    display(desc)\n",
-    "    desc.to_csv(OUTPUT_DIR / \"numeric_univariate_summary.csv\")\n",
-    "\n",
-    "    for col in num_cols:\n",
-    "        series = df[col].dropna()\n",
-    "        if series.empty:\n",
-    "            continue\n",
-    "\n",
-    "        p1, p99 = series.quantile([0.01, 0.99])\n",
-    "        clipped = series.clip(lower=p1, upper=p99)\n",
-    "\n",
-    "        fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n",
-    "        sns.histplot(series, bins=60, kde=True, ax=axes[0], color=\"#264653\")\n",
-    "        axes[0].set_title(f\"{col} (raw)\")\n",
-    "\n",
-    "        sns.boxplot(x=clipped, ax=axes[1], color=\"#E9C46A\")\n",
-    "        axes[1].set_title(f\"{col} (1%-99% clipped)\")\n",
-    "\n",
-    "        plt.tight_layout()\n",
-    "        plt.show()\n",
-    "else:\n",
-    "    print(\"No numeric columns from the candidate list were found.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "92775ba6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Date range: 2014-01-02 00:00:00 to 2024-12-31 00:00:00\n",
-      "Missing dlycaldt rows: 0\n"
-     ]
-    },
-    {
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>year</th>\n",
-       "      <th>row_count</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>2014</td>\n",
-       "      <td>44786</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2015</td>\n",
-       "      <td>44499</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2016</td>\n",
-       "      <td>44535</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2017</td>\n",
-       "      <td>44428</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>2018</td>\n",
-       "      <td>44862</td>\n",
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-       "      <th>5</th>\n",
-       "      <td>2019</td>\n",
-       "      <td>45360</td>\n",
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-       "      <th>6</th>\n",
-       "      <td>2020</td>\n",
-       "      <td>45731</td>\n",
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-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>2021</td>\n",
-       "      <td>45443</td>\n",
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-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>2022</td>\n",
-       "      <td>45326</td>\n",
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-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>2023</td>\n",
-       "      <td>45194</td>\n",
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-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>2024</td>\n",
-       "      <td>45823</td>\n",
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-      "text/plain": [
-       "    year  row_count\n",
-       "0   2014      44786\n",
-       "1   2015      44499\n",
-       "2   2016      44535\n",
-       "3   2017      44428\n",
-       "4   2018      44862\n",
-       "5   2019      45360\n",
-       "6   2020      45731\n",
-       "7   2021      45443\n",
-       "8   2022      45326\n",
-       "9   2023      45194\n",
-       "10  2024      45823"
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",
-      "text/plain": [
-       "<Figure size 1000x400 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Date univariate analysis\n",
-    "if \"dlycaldt\" in df.columns:\n",
-    "    min_dt = df[\"dlycaldt\"].min()\n",
-    "    max_dt = df[\"dlycaldt\"].max()\n",
-    "    missing_dt = int(df[\"dlycaldt\"].isna().sum())\n",
-    "\n",
-    "    print(f\"Date range: {min_dt} to {max_dt}\")\n",
-    "    print(f\"Missing dlycaldt rows: {missing_dt:,}\")\n",
-    "\n",
-    "    by_year = (\n",
-    "        df.dropna(subset=[\"dlycaldt\"])\n",
-    "        .assign(year=lambda x: x[\"dlycaldt\"].dt.year)\n",
-    "        .groupby(\"year\", as_index=False)\n",
-    "        .size()\n",
-    "        .rename(columns={\"size\": \"row_count\"})\n",
-    "    )\n",
-    "    display(by_year)\n",
-    "\n",
-    "    plt.figure(figsize=(10, 4))\n",
-    "    sns.barplot(data=by_year, x=\"year\", y=\"row_count\", color=\"#F4A261\")\n",
-    "    plt.title(\"Rows by year\")\n",
-    "    plt.xticks(rotation=45)\n",
-    "    plt.tight_layout()\n",
-    "    plt.show()\n",
-    "\n",
-    "    by_year.to_csv(OUTPUT_DIR / \"date_univariate_year_counts.csv\", index=False)\n",
-    "else:\n",
-    "    print(\"dlycaldt not available.\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "17503c51",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>check</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>ohlc_invalid_count</td>\n",
-       "      <td>277</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>dlyret_abs_gt_30pct_count</td>\n",
-       "      <td>16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>dlyret_abs_gt_100pct_count</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>dlyretx_abs_gt_30pct_count</td>\n",
-       "      <td>16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>dlyretx_abs_gt_100pct_count</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                         check  value\n",
-       "0           ohlc_invalid_count    277\n",
-       "1    dlyret_abs_gt_30pct_count     16\n",
-       "2   dlyret_abs_gt_100pct_count      0\n",
-       "3   dlyretx_abs_gt_30pct_count     16\n",
-       "4  dlyretx_abs_gt_100pct_count      0"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Saved outputs:\n",
-      "- basic_sanity_checks.csv\n",
-      "- categorical_univariate_summary.csv\n",
-      "- date_univariate_year_counts.csv\n",
-      "- numeric_univariate_summary.csv\n",
-      "- schema_missingness_summary.csv\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Basic sanity checks\n",
-    "checks = {}\n",
-    "\n",
-    "if {\"dlylow\", \"dlyhigh\", \"dlyopen\", \"dlyclose\"}.issubset(df.columns):\n",
-    "    valid_ohlc = (\n",
-    "        (df[\"dlylow\"] <= df[\"dlyopen\"]) &\n",
-    "        (df[\"dlyopen\"] <= df[\"dlyhigh\"]) &\n",
-    "        (df[\"dlylow\"] <= df[\"dlyclose\"]) &\n",
-    "        (df[\"dlyclose\"] <= df[\"dlyhigh\"])\n",
-    "    )\n",
-    "    checks[\"ohlc_invalid_count\"] = int((~valid_ohlc).sum())\n",
-    "\n",
-    "if \"dlyret\" in df.columns:\n",
-    "    checks[\"dlyret_abs_gt_30pct_count\"] = int((df[\"dlyret\"].abs() > 0.30).sum())\n",
-    "    checks[\"dlyret_abs_gt_100pct_count\"] = int((df[\"dlyret\"].abs() > 1.00).sum())\n",
-    "\n",
-    "if \"dlyretx\" in df.columns:\n",
-    "    checks[\"dlyretx_abs_gt_30pct_count\"] = int((df[\"dlyretx\"].abs() > 0.30).sum())\n",
-    "    checks[\"dlyretx_abs_gt_100pct_count\"] = int((df[\"dlyretx\"].abs() > 1.00).sum())\n",
-    "\n",
-    "checks_df = pd.DataFrame(list(checks.items()), columns=[\"check\", \"value\"])\n",
-    "display(checks_df)\n",
-    "checks_df.to_csv(OUTPUT_DIR / \"basic_sanity_checks.csv\", index=False)\n",
-    "\n",
-    "print(\"Saved outputs:\")\n",
-    "for p in sorted(OUTPUT_DIR.glob(\"*.csv\")):\n",
-    "    print(\"-\", p.name)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6d643cdd",
-   "metadata": {},
-   "source": [
-    "## Interpretation Notes (Fill After Run)\n",
-    "\n",
-    "Use this section to summarize:\n",
-    "- Which variables are most skewed or heavy-tailed\n",
-    "- Which flags dominate the universe (e.g., EQTY/NS/Y/N)\n",
-    "- Whether missingness is concentrated in specific fields\n",
-    "- Whether basic sanity checks show data quality concerns\n",
-    "- Which columns look most ready for feature engineering\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": ".venv",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/app/__pycache__/copilot_engine.cpython-311.pyc b/app/__pycache__/copilot_engine.cpython-311.pyc
new file mode 100644
index 0000000..13f7ee7
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diff --git a/app/__pycache__/insight_engine.cpython-311.pyc b/app/__pycache__/insight_engine.cpython-311.pyc
new file mode 100644
index 0000000..9dcc8be
Binary files /dev/null and b/app/__pycache__/insight_engine.cpython-311.pyc differ
diff --git a/app/copilot_engine.py b/app/copilot_engine.py
new file mode 100644
index 0000000..49d32df
--- /dev/null
+++ b/app/copilot_engine.py
@@ -0,0 +1,90 @@
+import pandas as pd
+
+
+def answer_query(query, latest_snapshot, high_risk, high_credibility, signal_screener, master_features):
+    q = query.lower().strip()
+
+    if not q:
+        return "Please type a question."
+
+  
+    # Top risky companies
+    
+    if "top risky" in q or "high risk" in q:
+        top = high_risk.head(5)[["ticker", "risk_score", "ret_20d", "credibility_score"]]
+        return "Top high-risk companies:\n\n" + top.to_string(index=False)
+
+   
+    # Top credibility companies
+  
+    if "high credibility" in q or "top credibility" in q:
+        top = high_credibility.head(5)[["ticker", "credibility_score", "ret_20d", "risk_score"]]
+        return "Top high-credibility companies:\n\n" + top.to_string(index=False)
+
+    
+    # Compare two companies
+  
+    if "compare" in q:
+        tickers = [t for t in latest_snapshot["ticker"].dropna().unique() if t.lower() in q]
+        if len(tickers) >= 2:
+            t1, t2 = tickers[0], tickers[1]
+
+            row1 = latest_snapshot[latest_snapshot["ticker"] == t1].tail(1)
+            row2 = latest_snapshot[latest_snapshot["ticker"] == t2].tail(1)
+
+            if not row1.empty and not row2.empty:
+                r1 = row1.iloc[0]
+                r2 = row2.iloc[0]
+
+                return (
+                    f"Comparison: {t1} vs {t2}\n\n"
+                    f"{t1}: risk={r1['risk_score']:.4f}, credibility={r1['credibility_score']:.4f}, ret_20d={r1['ret_20d']:.4f}\n"
+                    f"{t2}: risk={r2['risk_score']:.4f}, credibility={r2['credibility_score']:.4f}, ret_20d={r2['ret_20d']:.4f}"
+                )
+
+        return "I could not identify two valid tickers to compare."
+
+    # Summarize one company
+  
+    possible_tickers = [t for t in latest_snapshot["ticker"].dropna().unique() if t.lower() in q]
+
+    if possible_tickers:
+        ticker = possible_tickers[0]
+        company_df = master_features[master_features["ticker"] == ticker].sort_values("date")
+
+        if company_df.empty:
+            return f"No data found for {ticker}."
+
+        latest = company_df.tail(1).iloc[0]
+
+        lines = [f"Summary for {ticker}:"]
+        lines.append(f"- Latest close: {latest['dlyclose']:.2f}")
+
+        if pd.notna(latest.get("ret_20d")):
+            lines.append(f"- 20-day return: {latest['ret_20d']:.4f}")
+
+        if pd.notna(latest.get("risk_score")):
+            lines.append(f"- Risk score: {latest['risk_score']:.4f}")
+
+        if pd.notna(latest.get("credibility_score")):
+            lines.append(f"- Credibility score: {latest['credibility_score']:.4f}")
+
+        if pd.notna(latest.get("misalignment_score")):
+            lines.append(f"- Misalignment score: {latest['misalignment_score']:.4f}")
+
+        if pd.notna(latest.get("net_positivity")):
+            lines.append(f"- Net positivity: {latest['net_positivity']:.4f}")
+
+        if pd.notna(latest.get("numeric_transparency")):
+            lines.append(f"- Numeric transparency: {latest['numeric_transparency']:.4f}")
+
+        return "\n".join(lines)
+ 
+    # Fallback
+    return (
+        "I can help with:\n"
+        "- show top risky companies\n"
+        "- show high credibility companies\n"
+        "- compare AAPL and MSFT\n"
+        "- summarize NVDA"
+    )
\ No newline at end of file
diff --git a/app/dashboard.py b/app/dashboard.py
new file mode 100644
index 0000000..5635a74
--- /dev/null
+++ b/app/dashboard.py
@@ -0,0 +1,522 @@
+import pandas as pd
+import streamlit as st
+from pathlib import Path
+import plotly.express as px
+from insight_engine import generate_company_insight
+from copilot_engine import answer_query
+
+# App setup
+st.set_page_config(
+    page_title="AI Finance Copilot Dashboard",
+    layout="wide"
+)
+
+st.title("AI Finance Copilot Dashboard")
+# Paths
+ROOT = Path(__file__).resolve().parent.parent
+PROCESSED = ROOT / "data" / "processed"
+
+latest_path = PROCESSED / "latest_company_snapshot.parquet"
+risk_path = PROCESSED / "high_risk_companies.parquet"
+cred_path = PROCESSED / "high_credibility_companies.parquet"
+screen_path = PROCESSED / "signal_screener.parquet"
+master_features_path = PROCESSED / "master_panel_features.parquet"
+
+# Load data
+latest_snapshot = pd.read_parquet(latest_path)
+high_risk = pd.read_parquet(risk_path)
+high_credibility = pd.read_parquet(cred_path)
+signal_screener = pd.read_parquet(screen_path)
+master_features = pd.read_parquet(master_features_path)
+
+# Basic cleaning
+for df in [latest_snapshot, high_risk, high_credibility, signal_screener, master_features]:
+    if "date" in df.columns:
+        df["date"] = pd.to_datetime(df["date"], errors="coerce")
+
+# Sidebar navigation
+page = st.sidebar.radio(
+    "Select Page",
+    ["Overview", "Company Explorer", "Signal Screener", "Compare Companies", "Copilot"]
+)
+
+# OVERVIEW PAGE
+if page == "Overview":
+
+    st.header("Market Overview")
+
+    col1, col2, col3, col4 = st.columns(4)
+
+    col1.metric(
+        "Total Companies",
+        latest_snapshot["ticker"].nunique()
+    )
+
+    col2.metric(
+        "Average Risk Score",
+        round(latest_snapshot["risk_score"].mean(), 3)
+    )
+
+    col3.metric(
+        "Average Credibility",
+        round(latest_snapshot["credibility_score"].mean(), 3)
+    )
+
+    col4.metric(
+        "Avg 20d Return",
+        round(latest_snapshot["ret_20d"].mean(), 4)
+    )
+
+    st.divider()
+
+    st.subheader("Risk vs Credibility")
+
+    fig = px.scatter(
+        latest_snapshot,
+        x="credibility_score",
+        y="risk_score",
+        hover_name="ticker",
+        title="Company Positioning: Risk vs Credibility"
+    )
+
+    st.plotly_chart(fig, use_container_width=True)
+
+    st.divider()
+
+    st.subheader("Top 10 High Risk Companies")
+
+    st.dataframe(
+        high_risk.head(10),
+        use_container_width=True
+    )
+
+    st.divider()
+
+    st.subheader("Top 10 High Credibility Companies")
+
+    st.dataframe(
+        high_credibility.head(10),
+        use_container_width=True
+    )
+
+# COMPANY EXPLORER PAGE
+elif page == "Company Explorer":
+    st.header("Company Explorer")
+
+    tickers = sorted(master_features["ticker"].dropna().unique())
+    selected_ticker = st.selectbox("Select a company", tickers)
+
+    company_df = master_features[master_features["ticker"] == selected_ticker].copy()
+    company_df = company_df.sort_values("date")
+
+    latest_row = company_df.tail(1)
+
+    if latest_row.empty:
+        st.warning("No data found for this company.")
+    else:
+        latest_row = latest_row.iloc[0]
+
+        # Top metrics
+        col1, col2, col3, col4 = st.columns(4)
+
+        col1.metric("Latest Close", round(float(latest_row["dlyclose"]), 2))
+        col2.metric("20d Return", round(float(latest_row["ret_20d"]), 4))
+        col3.metric("Risk Score", round(float(latest_row["risk_score"]), 4))
+        col4.metric(
+            "Credibility Score",
+            round(float(latest_row["credibility_score"]), 4)
+            if pd.notna(latest_row["credibility_score"]) else "N/A"
+        )
+
+        st.divider()
+
+        # Simple company insight summary
+        st.subheader("Company Insight Summary")
+
+        insight_lines = []
+
+        if pd.notna(latest_row.get("ret_20d")):
+            if latest_row["ret_20d"] > 0:
+                insight_lines.append(f"- {selected_ticker} has shown positive 20-day momentum.")
+            else:
+                insight_lines.append(f"- {selected_ticker} has shown negative 20-day momentum.")
+
+        if pd.notna(latest_row.get("risk_score")):
+            avg_risk = company_df["risk_score"].mean()
+            if latest_row["risk_score"] > avg_risk:
+                insight_lines.append("- Current risk score is above the company’s historical average.")
+            else:
+                insight_lines.append("- Current risk score is below the company’s historical average.")
+
+        if pd.notna(latest_row.get("credibility_score")):
+            avg_cred = company_df["credibility_score"].mean()
+            if latest_row["credibility_score"] > avg_cred:
+                insight_lines.append("- Credibility score is stronger than the company’s historical average.")
+            else:
+                insight_lines.append("- Credibility score is weaker than the company’s historical average.")
+
+        if pd.notna(latest_row.get("misalignment_score")):
+            if latest_row["misalignment_score"] > 0:
+                insight_lines.append("- Communication appears more optimistic than recent market performance.")
+            else:
+                insight_lines.append("- Market performance is not lagging behind communication tone.")
+
+        if not insight_lines:
+            insight_lines.append("- Not enough data available for a full insight summary.")
+
+        for line in insight_lines:
+            st.write(line)
+
+        st.divider()
+        # AI Insight
+        st.subheader("AI Insight")
+        insight_text = generate_company_insight(company_df)
+        st.info(insight_text)
+        st.divider()
+        # Latest row table
+        st.subheader("Latest Snapshot")
+        snapshot_cols = [
+            "ticker",
+            "date",
+            "dlyclose",
+            "ret_5d",
+            "ret_20d",
+            "ret_60d",
+            "vol_20d",
+            "relative_volume",
+            "net_positivity",
+            "numeric_transparency",
+            "language_complexity",
+            "analyst_selectivity_ratio",
+            "credibility_score",
+            "risk_score",
+            "misalignment_score",
+        ]
+        snapshot_cols = [c for c in snapshot_cols if c in company_df.columns]
+        st.dataframe(company_df[snapshot_cols].tail(1), use_container_width=True)
+
+        st.divider()
+
+        # Price Trend
+        st.subheader("Price Trend")
+        fig_price = px.line(
+            company_df,
+            x="date",
+            y="dlyclose",
+            title=f"{selected_ticker} Closing Price"
+        )
+        st.plotly_chart(fig_price, use_container_width=True)
+
+        # Transcript Metrics Over Time
+        st.subheader("Transcript Metrics Over Time")
+        metric_cols = [
+            "net_positivity",
+            "numeric_transparency",
+            "language_complexity",
+            "analyst_selectivity_ratio"
+        ]
+        available_metrics = [c for c in metric_cols if c in company_df.columns]
+
+        if available_metrics:
+            metric_plot_df = company_df[["date"] + available_metrics].copy()
+            fig_metrics = px.line(
+                metric_plot_df,
+                x="date",
+                y=available_metrics,
+                title=f"{selected_ticker} Transcript Metrics"
+            )
+            st.plotly_chart(fig_metrics, use_container_width=True)
+
+        # Dashboard Scores Over Time
+        st.subheader("Dashboard Scores Over Time")
+        score_cols = ["credibility_score", "risk_score", "misalignment_score"]
+        available_scores = [c for c in score_cols if c in company_df.columns]
+
+        if available_scores:
+            fig_scores = px.line(
+                company_df,
+                x="date",
+                y=available_scores,
+                title=f"{selected_ticker} Scores"
+            )
+            st.plotly_chart(fig_scores, use_container_width=True)
+
+
+# SIGNAL SCREENER PAGE
+
+elif page == "Signal Screener":
+    st.header("Signal Screener")
+
+    screener_df = signal_screener.copy()
+
+    st.subheader("Filters")
+
+    col1, col2 = st.columns(2)
+
+    min_risk = float(screener_df["risk_score"].min())
+    max_risk = float(screener_df["risk_score"].max())
+
+    cred_nonnull = screener_df["credibility_score"].dropna()
+    min_cred = float(cred_nonnull.min()) if not cred_nonnull.empty else 0.0
+    max_cred = float(cred_nonnull.max()) if not cred_nonnull.empty else 1.0
+
+    ret_nonnull = screener_df["ret_20d"].dropna()
+    min_ret = float(ret_nonnull.min()) if not ret_nonnull.empty else -1.0
+    max_ret = float(ret_nonnull.max()) if not ret_nonnull.empty else 1.0
+
+    with col1:
+        risk_range = st.slider(
+            "Risk Score Range",
+            min_value=min_risk,
+            max_value=max_risk,
+            value=(min_risk, max_risk),
+        )
+
+        cred_range = st.slider(
+            "Credibility Score Range",
+            min_value=min_cred,
+            max_value=max_cred,
+            value=(min_cred, max_cred),
+        )
+
+    with col2:
+        ret_range = st.slider(
+            "20-Day Return Range",
+            min_value=min_ret,
+            max_value=max_ret,
+            value=(min_ret, max_ret),
+        )
+
+        ticker_search = st.text_input("Search ticker", "").strip().upper()
+
+    filtered = screener_df[
+        (screener_df["risk_score"] >= risk_range[0]) &
+        (screener_df["risk_score"] <= risk_range[1]) &
+        (
+            screener_df["credibility_score"].isna() |
+            (
+                (screener_df["credibility_score"] >= cred_range[0]) &
+                (screener_df["credibility_score"] <= cred_range[1])
+            )
+        ) &
+        (screener_df["ret_20d"] >= ret_range[0]) &
+        (screener_df["ret_20d"] <= ret_range[1])
+    ].copy()
+
+    if ticker_search:
+        filtered = filtered[filtered["ticker"].str.contains(ticker_search, na=False)]
+
+    sort_col = st.selectbox(
+        "Sort by",
+        ["risk_score", "credibility_score", "ret_20d", "relative_volume", "misalignment_score"]
+    )
+
+    sort_ascending = st.checkbox("Sort ascending", value=False)
+
+    filtered = filtered.sort_values(sort_col, ascending=sort_ascending).reset_index(drop=True)
+
+    st.write(f"Rows shown: {len(filtered)}")
+
+    m1, m2, m3 = st.columns(3)
+    m1.metric("Average Risk", round(filtered["risk_score"].mean(), 4) if len(filtered) else 0)
+    m2.metric("Average Credibility", round(filtered["credibility_score"].mean(), 4) if len(filtered) else 0)
+    m3.metric("Average 20d Return", round(filtered["ret_20d"].mean(), 4) if len(filtered) else 0)
+
+    st.divider()
+
+    st.subheader("Filtered Company Map")
+
+    plot_df = filtered.dropna(subset=["credibility_score", "risk_score"]).copy()
+
+    if not plot_df.empty:
+        fig_screen = px.scatter(
+            plot_df,
+            x="credibility_score",
+            y="risk_score",
+            hover_name="ticker",
+            size="relative_volume" if "relative_volume" in plot_df.columns else None,
+            title="Filtered Companies: Risk vs Credibility"
+        )
+        st.plotly_chart(fig_screen, use_container_width=True)
+    else:
+        st.info("No companies available for the chart with the current filters.")
+
+    st.divider()
+
+    st.subheader("Filtered Companies Table")
+    st.dataframe(filtered, use_container_width=True)
+
+    csv_data = filtered.to_csv(index=False).encode("utf-8")
+    st.download_button(
+        label="Download filtered results as CSV",
+        data=csv_data,
+        file_name="filtered_signal_screener.csv",
+        mime="text/csv"
+    )
+
+
+# COMPARE COMPANIES PAGE
+
+elif page == "Compare Companies":
+    st.header("Compare Companies")
+
+    tickers = sorted(master_features["ticker"].dropna().unique())
+
+    col_a, col_b = st.columns(2)
+
+    with col_a:
+        ticker_1 = st.selectbox("Select first company", tickers, index=0)
+
+    with col_b:
+        default_index = 1 if len(tickers) > 1 else 0
+        ticker_2 = st.selectbox("Select second company", tickers, index=default_index)
+
+    df1 = master_features[master_features["ticker"] == ticker_1].copy().sort_values("date")
+    df2 = master_features[master_features["ticker"] == ticker_2].copy().sort_values("date")
+
+    latest_1 = df1.tail(1)
+    latest_2 = df2.tail(1)
+
+    st.subheader("Latest Snapshot Comparison")
+
+    c1, c2 = st.columns(2)
+
+    with c1:
+        st.markdown(f"### {ticker_1}")
+        if not latest_1.empty:
+            st.dataframe(
+                latest_1[
+                    [
+                        "ticker",
+                        "date",
+                        "dlyclose",
+                        "ret_20d",
+                        "vol_20d",
+                        "net_positivity",
+                        "numeric_transparency",
+                        "language_complexity",
+                        "credibility_score",
+                        "risk_score",
+                        "misalignment_score",
+                    ]
+                ],
+                use_container_width=True
+            )
+
+    with c2:
+        st.markdown(f"### {ticker_2}")
+        if not latest_2.empty:
+            st.dataframe(
+                latest_2[
+                    [
+                        "ticker",
+                        "date",
+                        "dlyclose",
+                        "ret_20d",
+                        "vol_20d",
+                        "net_positivity",
+                        "numeric_transparency",
+                        "language_complexity",
+                        "credibility_score",
+                        "risk_score",
+                        "misalignment_score",
+                    ]
+                ],
+                use_container_width=True
+            )
+
+    st.divider()
+
+    st.subheader("Price Trend Comparison")
+
+    price_df = pd.concat([
+        df1[["date", "dlyclose"]].assign(ticker=ticker_1),
+        df2[["date", "dlyclose"]].assign(ticker=ticker_2)
+    ])
+
+    fig_price_compare = px.line(
+        price_df,
+        x="date",
+        y="dlyclose",
+        color="ticker",
+        title=f"{ticker_1} vs {ticker_2} Closing Price"
+    )
+    st.plotly_chart(fig_price_compare, use_container_width=True)
+
+    st.divider()
+
+    st.subheader("Transcript Metrics Comparison")
+
+    metric_choice = st.selectbox(
+        "Select transcript metric",
+        [
+            "net_positivity",
+            "numeric_transparency",
+            "language_complexity",
+            "analyst_selectivity_ratio"
+        ]
+    )
+
+    metric_df = pd.concat([
+        df1[["date", metric_choice]].rename(columns={metric_choice: "value"}).assign(ticker=ticker_1),
+        df2[["date", metric_choice]].rename(columns={metric_choice: "value"}).assign(ticker=ticker_2)
+    ])
+
+    fig_metric_compare = px.line(
+        metric_df,
+        x="date",
+        y="value",
+        color="ticker",
+        title=f"{ticker_1} vs {ticker_2}: {metric_choice}"
+    )
+    st.plotly_chart(fig_metric_compare, use_container_width=True)
+
+    st.divider()
+
+    st.subheader("Score Comparison")
+
+    score_choice = st.selectbox(
+        "Select score",
+        ["credibility_score", "risk_score", "misalignment_score"]
+    )
+
+    score_df = pd.concat([
+        df1[["date", score_choice]].rename(columns={score_choice: "value"}).assign(ticker=ticker_1),
+        df2[["date", score_choice]].rename(columns={score_choice: "value"}).assign(ticker=ticker_2)
+    ])
+
+    fig_score_compare = px.line(
+        score_df,
+        x="date",
+        y="value",
+        color="ticker",
+        title=f"{ticker_1} vs {ticker_2}: {score_choice}"
+    )
+    st.plotly_chart(fig_score_compare, use_container_width=True)
+
+# --------------------------------------------------
+# COPILOT PAGE
+# --------------------------------------------------
+elif page == "Copilot":
+    st.header("Finance Copilot")
+
+    st.write("Ask things like:")
+    st.write("- show top risky companies")
+    st.write("- show high credibility companies")
+    st.write("- compare AAPL and MSFT")
+    st.write("- summarize NVDA")
+
+    query = st.text_input("Ask the copilot")
+
+    if query:
+        response = answer_query(
+            query=query,
+            latest_snapshot=latest_snapshot,
+            high_risk=high_risk,
+            high_credibility=high_credibility,
+            signal_screener=signal_screener,
+            master_features=master_features
+        )
+
+        st.subheader("Copilot Response")
+        st.text(response)
\ No newline at end of file
diff --git a/app/insight_engine.py b/app/insight_engine.py
new file mode 100644
index 0000000..04a396a
--- /dev/null
+++ b/app/insight_engine.py
@@ -0,0 +1,45 @@
+import pandas as pd
+
+
+def generate_company_insight(company_df):
+    """
+    Generate a simple AI-style explanation for a company
+    using latest dashboard features.
+    """
+
+    if company_df.empty:
+        return "No data available for this company."
+
+    latest = company_df.tail(1).iloc[0]
+
+    insights = []
+
+    # Momentum
+    if pd.notna(latest.get("ret_20d")):
+        if latest["ret_20d"] > 0:
+            insights.append("Recent 20-day momentum is positive.")
+        else:
+            insights.append("Recent 20-day momentum is negative.")
+
+    # Risk
+    if pd.notna(latest.get("risk_score")):
+        if latest["risk_score"] > 1:
+            insights.append("Risk score is elevated relative to peers.")
+        else:
+            insights.append("Risk score appears moderate.")
+
+    # Credibility
+    if pd.notna(latest.get("credibility_score")):
+        if latest["credibility_score"] > 0:
+            insights.append("Management communication appears relatively credible.")
+        else:
+            insights.append("Communication signals appear weaker than usual.")
+
+    # Misalignment
+    if pd.notna(latest.get("misalignment_score")):
+        if latest["misalignment_score"] > 0:
+            insights.append("Communication tone is more optimistic than recent market performance.")
+        else:
+            insights.append("Market performance aligns reasonably with communication tone.")
+
+    return " ".join(insights)
\ No newline at end of file
diff --git a/data/processed/clean_crsp.parquet b/data/processed/clean_crsp.parquet
new file mode 100644
index 0000000..1a06538
Binary files /dev/null and b/data/processed/clean_crsp.parquet differ
diff --git a/data/processed/column_dictionary_and_schema.csv b/data/processed/column_dictionary_and_schema.csv
new file mode 100644
index 0000000..d1959a1
--- /dev/null
+++ b/data/processed/column_dictionary_and_schema.csv
@@ -0,0 +1,48 @@
+column,dtype,missing_count,missing_pct,n_unique,role
+Symbol,object,0,0.0,193,identifier
+Company Name,object,0,0.0,193,identifier
+Metrics,object,0,0.0,4,identifier
+CQ12014,object,8,1.04,506,quarter_value
+CQ22014,object,8,1.04,483,quarter_value
+CQ32014,object,8,1.04,465,quarter_value
+CQ42014,object,8,1.04,487,quarter_value
+CQ12015,object,8,1.04,510,quarter_value
+CQ22015,object,8,1.04,469,quarter_value
+CQ32015,object,8,1.04,467,quarter_value
+CQ42015,object,8,1.04,497,quarter_value
+CQ12016,object,8,1.04,500,quarter_value
+CQ22016,object,8,1.04,473,quarter_value
+CQ32016,object,8,1.04,486,quarter_value
+CQ42016,object,8,1.04,475,quarter_value
+CQ12017,object,8,1.04,510,quarter_value
+CQ22017,object,8,1.04,472,quarter_value
+CQ32017,object,8,1.04,477,quarter_value
+CQ42017,object,8,1.04,484,quarter_value
+CQ12018,object,8,1.04,477,quarter_value
+CQ22018,object,8,1.04,458,quarter_value
+CQ32018,object,8,1.04,454,quarter_value
+CQ42018,object,8,1.04,471,quarter_value
+CQ12019,object,8,1.04,508,quarter_value
+CQ22019,object,8,1.04,451,quarter_value
+CQ32019,object,8,1.04,464,quarter_value
+CQ42019,object,8,1.04,472,quarter_value
+CQ12020,object,8,1.04,474,quarter_value
+CQ22020,object,8,1.04,477,quarter_value
+CQ32020,object,8,1.04,464,quarter_value
+CQ42020,object,8,1.04,460,quarter_value
+CQ12021,object,8,1.04,481,quarter_value
+CQ22021,object,8,1.04,453,quarter_value
+CQ32021,object,8,1.04,448,quarter_value
+CQ42021,object,8,1.04,459,quarter_value
+CQ12022,object,8,1.04,490,quarter_value
+CQ22022,object,8,1.04,473,quarter_value
+CQ32022,object,8,1.04,467,quarter_value
+CQ42022,object,8,1.04,470,quarter_value
+CQ12023,object,8,1.04,479,quarter_value
+CQ22023,object,8,1.04,465,quarter_value
+CQ32023,object,8,1.04,460,quarter_value
+CQ42023,object,8,1.04,458,quarter_value
+CQ12024,object,8,1.04,469,quarter_value
+CQ22024,object,8,1.04,448,quarter_value
+CQ32024,object,8,1.04,447,quarter_value
+CQ42024,object,8,1.04,447,quarter_value
diff --git a/data/processed/high_credibility_companies.parquet b/data/processed/high_credibility_companies.parquet
new file mode 100644
index 0000000..237add3
Binary files /dev/null and b/data/processed/high_credibility_companies.parquet differ
diff --git a/data/processed/high_risk_companies.parquet b/data/processed/high_risk_companies.parquet
new file mode 100644
index 0000000..b7f9a41
Binary files /dev/null and b/data/processed/high_risk_companies.parquet differ
diff --git a/data/processed/latest_company_snapshot.parquet b/data/processed/latest_company_snapshot.parquet
new file mode 100644
index 0000000..fab0f9c
Binary files /dev/null and b/data/processed/latest_company_snapshot.parquet differ
diff --git a/data/processed/master_panel.parquet b/data/processed/master_panel.parquet
new file mode 100644
index 0000000..c49783d
Binary files /dev/null and b/data/processed/master_panel.parquet differ
diff --git a/data/processed/master_panel_features.parquet b/data/processed/master_panel_features.parquet
new file mode 100644
index 0000000..0975c81
Binary files /dev/null and b/data/processed/master_panel_features.parquet differ
diff --git a/data/processed/metric_missingness_summary.csv b/data/processed/metric_missingness_summary.csv
new file mode 100644
index 0000000..0d7f884
--- /dev/null
+++ b/data/processed/metric_missingness_summary.csv
@@ -0,0 +1,5 @@
+Metrics,total_obs,non_missing_obs,missing_obs,missing_pct
+Analyst Selectivity Ratio,8492,8120,372,4.38
+Language Complexity,8492,8117,375,4.42
+Net Positivity,8492,8117,375,4.42
+Numeric Transeprency,8492,8117,375,4.42
diff --git a/data/processed/metric_univariate_summary.csv b/data/processed/metric_univariate_summary.csv
new file mode 100644
index 0000000..35710df
--- /dev/null
+++ b/data/processed/metric_univariate_summary.csv
@@ -0,0 +1,5 @@
+Metrics,count,mean,std,min,1%,5%,25%,50%,75%,95%,99%,max
+Analyst Selectivity Ratio,8120.0,41.818328817733985,16.358234860987285,0.0,4.55,17.5,30.0,40.0,52.94,69.23,81.71169999999971,100.0
+Language Complexity,8117.0,12.422686953307872,1.1364417990965912,9.05,10.1,10.68,11.62,12.37,13.14,14.42,15.32,17.74
+Net Positivity,8117.0,1.1052396205494641,0.5947774452111803,-1.43,-0.37,0.14,0.73,1.11,1.49,2.06,2.55,3.32
+Numeric Transeprency,8117.0,2.3285265492176914,0.762707120067435,0.29,0.9,1.25,1.79,2.25,2.78,3.66,4.51,7.46
diff --git a/data/processed/missingness_summary.csv b/data/processed/missingness_summary.csv
new file mode 100644
index 0000000..ef8e12c
--- /dev/null
+++ b/data/processed/missingness_summary.csv
@@ -0,0 +1,48 @@
+,missing_count,missing_pct
+CQ12019,8,1.04
+CQ12022,8,1.04
+CQ42019,8,1.04
+CQ12020,8,1.04
+CQ22020,8,1.04
+CQ32020,8,1.04
+CQ42020,8,1.04
+CQ12021,8,1.04
+CQ22021,8,1.04
+CQ32021,8,1.04
+CQ42021,8,1.04
+CQ22022,8,1.04
+CQ22019,8,1.04
+CQ32022,8,1.04
+CQ42022,8,1.04
+CQ12023,8,1.04
+CQ22023,8,1.04
+CQ32023,8,1.04
+CQ42023,8,1.04
+CQ12024,8,1.04
+CQ22024,8,1.04
+CQ32024,8,1.04
+CQ32019,8,1.04
+CQ42024,8,1.04
+CQ22016,8,1.04
+CQ42018,8,1.04
+CQ22014,8,1.04
+CQ32014,8,1.04
+CQ42014,8,1.04
+CQ12015,8,1.04
+CQ22015,8,1.04
+CQ32015,8,1.04
+CQ42015,8,1.04
+CQ12016,8,1.04
+CQ32016,8,1.04
+CQ42016,8,1.04
+CQ12017,8,1.04
+CQ22017,8,1.04
+CQ32017,8,1.04
+CQ42017,8,1.04
+CQ12018,8,1.04
+CQ22018,8,1.04
+CQ32018,8,1.04
+CQ12014,8,1.04
+Metrics,0,0.0
+Company Name,0,0.0
+Symbol,0,0.0
diff --git a/data/processed/quarter_metric_medians.csv b/data/processed/quarter_metric_medians.csv
new file mode 100644
index 0000000..b0b2362
--- /dev/null
+++ b/data/processed/quarter_metric_medians.csv
@@ -0,0 +1,177 @@
+quarter,Metrics,median_value
+CQ12014,Analyst Selectivity Ratio,41.28
+CQ12014,Language Complexity,12.305
+CQ12014,Net Positivity,0.97
+CQ12014,Numeric Transeprency,2.7199999999999998
+CQ12015,Analyst Selectivity Ratio,42.21
+CQ12015,Language Complexity,12.35
+CQ12015,Net Positivity,1.0150000000000001
+CQ12015,Numeric Transeprency,2.8449999999999998
+CQ12016,Analyst Selectivity Ratio,41.67
+CQ12016,Language Complexity,12.45
+CQ12016,Net Positivity,0.88
+CQ12016,Numeric Transeprency,2.77
+CQ12017,Analyst Selectivity Ratio,42.86
+CQ12017,Language Complexity,12.39
+CQ12017,Net Positivity,1.07
+CQ12017,Numeric Transeprency,2.67
+CQ12018,Analyst Selectivity Ratio,40.0
+CQ12018,Language Complexity,12.455
+CQ12018,Net Positivity,1.24
+CQ12018,Numeric Transeprency,2.755
+CQ12019,Analyst Selectivity Ratio,42.86
+CQ12019,Language Complexity,12.49
+CQ12019,Net Positivity,1.13
+CQ12019,Numeric Transeprency,2.7
+CQ12020,Analyst Selectivity Ratio,40.0
+CQ12020,Language Complexity,12.385000000000002
+CQ12020,Net Positivity,1.13
+CQ12020,Numeric Transeprency,2.6900000000000004
+CQ12021,Analyst Selectivity Ratio,41.425
+CQ12021,Language Complexity,12.434999999999999
+CQ12021,Net Positivity,1.19
+CQ12021,Numeric Transeprency,2.39
+CQ12022,Analyst Selectivity Ratio,38.46
+CQ12022,Language Complexity,12.489999999999998
+CQ12022,Net Positivity,1.26
+CQ12022,Numeric Transeprency,2.535
+CQ12023,Analyst Selectivity Ratio,38.46
+CQ12023,Language Complexity,12.415
+CQ12023,Net Positivity,1.125
+CQ12023,Numeric Transeprency,2.505
+CQ12024,Analyst Selectivity Ratio,36.36
+CQ12024,Language Complexity,12.52
+CQ12024,Net Positivity,1.28
+CQ12024,Numeric Transeprency,2.58
+CQ22014,Analyst Selectivity Ratio,39.13
+CQ22014,Language Complexity,12.13
+CQ22014,Net Positivity,0.96
+CQ22014,Numeric Transeprency,2.23
+CQ22015,Analyst Selectivity Ratio,42.11
+CQ22015,Language Complexity,12.29
+CQ22015,Net Positivity,0.98
+CQ22015,Numeric Transeprency,2.17
+CQ22016,Analyst Selectivity Ratio,42.86
+CQ22016,Language Complexity,12.24
+CQ22016,Net Positivity,0.99
+CQ22016,Numeric Transeprency,2.15
+CQ22017,Analyst Selectivity Ratio,41.18
+CQ22017,Language Complexity,12.28
+CQ22017,Net Positivity,1.09
+CQ22017,Numeric Transeprency,2.25
+CQ22018,Analyst Selectivity Ratio,42.86
+CQ22018,Language Complexity,12.379999999999999
+CQ22018,Net Positivity,1.205
+CQ22018,Numeric Transeprency,2.0949999999999998
+CQ22019,Analyst Selectivity Ratio,42.265
+CQ22019,Language Complexity,12.475000000000001
+CQ22019,Net Positivity,1.0750000000000002
+CQ22019,Numeric Transeprency,2.14
+CQ22020,Analyst Selectivity Ratio,40.74
+CQ22020,Language Complexity,12.7
+CQ22020,Net Positivity,0.27
+CQ22020,Numeric Transeprency,1.71
+CQ22021,Analyst Selectivity Ratio,40.74
+CQ22021,Language Complexity,12.295
+CQ22021,Net Positivity,1.295
+CQ22021,Numeric Transeprency,2.01
+CQ22022,Analyst Selectivity Ratio,40.0
+CQ22022,Language Complexity,12.31
+CQ22022,Net Positivity,1.0150000000000001
+CQ22022,Numeric Transeprency,2.09
+CQ22023,Analyst Selectivity Ratio,37.5
+CQ22023,Language Complexity,12.35
+CQ22023,Net Positivity,1.185
+CQ22023,Numeric Transeprency,2.0549999999999997
+CQ22024,Analyst Selectivity Ratio,35.5
+CQ22024,Language Complexity,12.325
+CQ22024,Net Positivity,1.3450000000000002
+CQ22024,Numeric Transeprency,1.975
+CQ32014,Analyst Selectivity Ratio,40.0
+CQ32014,Language Complexity,12.33
+CQ32014,Net Positivity,1.03
+CQ32014,Numeric Transeprency,2.29
+CQ32015,Analyst Selectivity Ratio,43.33
+CQ32015,Language Complexity,12.18
+CQ32015,Net Positivity,1.03
+CQ32015,Numeric Transeprency,2.23
+CQ32016,Analyst Selectivity Ratio,42.86
+CQ32016,Language Complexity,12.274999999999999
+CQ32016,Net Positivity,0.96
+CQ32016,Numeric Transeprency,2.24
+CQ32017,Analyst Selectivity Ratio,42.86
+CQ32017,Language Complexity,12.26
+CQ32017,Net Positivity,1.17
+CQ32017,Numeric Transeprency,2.22
+CQ32018,Analyst Selectivity Ratio,43.405
+CQ32018,Language Complexity,12.355
+CQ32018,Net Positivity,1.25
+CQ32018,Numeric Transeprency,2.21
+CQ32019,Analyst Selectivity Ratio,42.11
+CQ32019,Language Complexity,12.39
+CQ32019,Net Positivity,1.16
+CQ32019,Numeric Transeprency,2.13
+CQ32020,Analyst Selectivity Ratio,41.18
+CQ32020,Language Complexity,12.51
+CQ32020,Net Positivity,0.88
+CQ32020,Numeric Transeprency,1.8450000000000002
+CQ32021,Analyst Selectivity Ratio,37.8
+CQ32021,Language Complexity,12.379999999999999
+CQ32021,Net Positivity,1.35
+CQ32021,Numeric Transeprency,2.0999999999999996
+CQ32022,Analyst Selectivity Ratio,38.89
+CQ32022,Language Complexity,12.25
+CQ32022,Net Positivity,0.99
+CQ32022,Numeric Transeprency,2.07
+CQ32023,Analyst Selectivity Ratio,37.5
+CQ32023,Language Complexity,12.274999999999999
+CQ32023,Net Positivity,1.23
+CQ32023,Numeric Transeprency,2.1500000000000004
+CQ32024,Analyst Selectivity Ratio,38.89
+CQ32024,Language Complexity,12.36
+CQ32024,Net Positivity,1.3
+CQ32024,Numeric Transeprency,1.99
+CQ42014,Analyst Selectivity Ratio,40.64
+CQ42014,Language Complexity,12.235
+CQ42014,Net Positivity,1.005
+CQ42014,Numeric Transeprency,2.425
+CQ42015,Analyst Selectivity Ratio,42.485
+CQ42015,Language Complexity,12.335
+CQ42015,Net Positivity,0.96
+CQ42015,Numeric Transeprency,2.365
+CQ42016,Analyst Selectivity Ratio,41.18
+CQ42016,Language Complexity,12.21
+CQ42016,Net Positivity,0.975
+CQ42016,Numeric Transeprency,2.32
+CQ42017,Analyst Selectivity Ratio,40.0
+CQ42017,Language Complexity,12.41
+CQ42017,Net Positivity,1.1
+CQ42017,Numeric Transeprency,2.27
+CQ42018,Analyst Selectivity Ratio,42.31
+CQ42018,Language Complexity,12.425
+CQ42018,Net Positivity,1.18
+CQ42018,Numeric Transeprency,2.245
+CQ42019,Analyst Selectivity Ratio,42.31
+CQ42019,Language Complexity,12.35
+CQ42019,Net Positivity,1.09
+CQ42019,Numeric Transeprency,2.25
+CQ42020,Analyst Selectivity Ratio,43.305
+CQ42020,Language Complexity,12.36
+CQ42020,Net Positivity,1.01
+CQ42020,Numeric Transeprency,1.9649999999999999
+CQ42021,Analyst Selectivity Ratio,40.0
+CQ42021,Language Complexity,12.41
+CQ42021,Net Positivity,1.13
+CQ42021,Numeric Transeprency,2.12
+CQ42022,Analyst Selectivity Ratio,38.46
+CQ42022,Language Complexity,12.344999999999999
+CQ42022,Net Positivity,1.02
+CQ42022,Numeric Transeprency,2.105
+CQ42023,Analyst Selectivity Ratio,37.5
+CQ42023,Language Complexity,12.434999999999999
+CQ42023,Net Positivity,1.2
+CQ42023,Numeric Transeprency,2.22
+CQ42024,Analyst Selectivity Ratio,36.36
+CQ42024,Language Complexity,12.46
+CQ42024,Net Positivity,1.3
+CQ42024,Numeric Transeprency,2.11
diff --git a/data/processed/quarter_non_missing_counts.csv b/data/processed/quarter_non_missing_counts.csv
new file mode 100644
index 0000000..2dac463
--- /dev/null
+++ b/data/processed/quarter_non_missing_counts.csv
@@ -0,0 +1,45 @@
+quarter,non_missing_obs
+CQ12014,744
+CQ12015,744
+CQ12016,732
+CQ12017,740
+CQ12018,736
+CQ12019,740
+CQ12020,731
+CQ12021,744
+CQ12022,736
+CQ12023,744
+CQ12024,748
+CQ22014,740
+CQ22015,724
+CQ22016,732
+CQ22017,740
+CQ22018,736
+CQ22019,736
+CQ22020,732
+CQ22021,736
+CQ22022,736
+CQ22023,744
+CQ22024,744
+CQ32014,732
+CQ32015,732
+CQ32016,728
+CQ32017,740
+CQ32018,736
+CQ32019,732
+CQ32020,744
+CQ32021,744
+CQ32022,740
+CQ32023,744
+CQ32024,740
+CQ42014,736
+CQ42015,736
+CQ42016,720
+CQ42017,740
+CQ42018,736
+CQ42019,740
+CQ42020,736
+CQ42021,740
+CQ42022,744
+CQ42023,744
+CQ42024,748
diff --git a/data/processed/signal_screener.parquet b/data/processed/signal_screener.parquet
new file mode 100644
index 0000000..2768ad6
Binary files /dev/null and b/data/processed/signal_screener.parquet differ
diff --git a/data/processed/transcript_quarter_panel.parquet b/data/processed/transcript_quarter_panel.parquet
new file mode 100644
index 0000000..ded276a
Binary files /dev/null and b/data/processed/transcript_quarter_panel.parquet differ
diff --git a/data/processed/transcripts_long_panel.csv b/data/processed/transcripts_long_panel.csv
new file mode 100644
index 0000000..ea36a32
--- /dev/null
+++ b/data/processed/transcripts_long_panel.csv
@@ -0,0 +1,33969 @@
+Symbol,Company Name,Metrics,quarter,value,quarter_num,year,quarter_end
+T,AT&T,Net Positivity,CQ12014,1.54,1,2014,2014-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12014,1.42,1,2014,2014-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12014,,1,2014,2014-03-31
+META,Meta Platforms,Net Positivity,CQ12014,1.64,1,2014,2014-03-31
+NFLX,Netflix,Net Positivity,CQ12014,0.98,1,2014,2014-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12014,0.82,1,2014,2014-03-31
+OMC,Omnicom Group,Net Positivity,CQ12014,1.62,1,2014,2014-03-31
+VZ,Verizon,Net Positivity,CQ12014,1.27,1,2014,2014-03-31
+AMZN,Amazon,Net Positivity,CQ12014,1.02,1,2014,2014-03-31
+AZO,AutoZone,Net Positivity,CQ12014,0.87,1,2014,2014-03-31
+BBY,Best Buy,Net Positivity,CQ12014,1.12,1,2014,2014-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12014,1.26,1,2014,2014-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12014,1.67,1,2014,2014-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12014,0.33,1,2014,2014-03-31
+F,Ford Motor Company,Net Positivity,CQ12014,0.64,1,2014,2014-03-31
+GM,General Motors,Net Positivity,CQ12014,0.31,1,2014,2014-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12014,1.29,1,2014,2014-03-31
+HAS,Hasbro,Net Positivity,CQ12014,0.96,1,2014,2014-03-31
+LOW,Lowe's,Net Positivity,CQ12014,1.77,1,2014,2014-03-31
+MCD,McDonald's,Net Positivity,CQ12014,1.31,1,2014,2014-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12014,2.45,1,2014,2014-03-31
+ROST,Ross Stores,Net Positivity,CQ12014,1.27,1,2014,2014-03-31
+TJX,TJX Companies,Net Positivity,CQ12014,1.48,1,2014,2014-03-31
+TGT,Target,Net Positivity,CQ12014,1.07,1,2014,2014-03-31
+MO,Altria,Net Positivity,CQ12014,1.29,1,2014,2014-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12014,0.81,1,2014,2014-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12014,0.62,1,2014,2014-03-31
+CLX,Clorox,Net Positivity,CQ12014,0.71,1,2014,2014-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12014,1.89,1,2014,2014-03-31
+COST,Costco,Net Positivity,CQ12014,0.52,1,2014,2014-03-31
+GIS,General Mills,Net Positivity,CQ12014,1.03,1,2014,2014-03-31
+HSY,Hershey Company,Net Positivity,CQ12014,1.38,1,2014,2014-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12014,1.39,1,2014,2014-03-31
+KR,Kroger,Net Positivity,CQ12014,1.28,1,2014,2014-03-31
+MKC,McCormick & Company,Net Positivity,CQ12014,1.83,1,2014,2014-03-31
+PEP,PepsiCo,Net Positivity,CQ12014,1.35,1,2014,2014-03-31
+PG,Procter & Gamble,Net Positivity,CQ12014,2.18,1,2014,2014-03-31
+SYY,Sysco,Net Positivity,CQ12014,0.97,1,2014,2014-03-31
+WMT,Walmart,Net Positivity,CQ12014,1.87,1,2014,2014-03-31
+APA,APA Corporation,Net Positivity,CQ12014,0.63,1,2014,2014-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12014,,1,2014,2014-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12014,0.74,1,2014,2014-03-31
+EOG,EOG Resources,Net Positivity,CQ12014,1.3,1,2014,2014-03-31
+XOM,ExxonMobil,Net Positivity,CQ12014,1.27,1,2014,2014-03-31
+HAL,Halliburton,Net Positivity,CQ12014,1.13,1,2014,2014-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12014,1.56,1,2014,2014-03-31
+SLB,Schlumberger,Net Positivity,CQ12014,0.87,1,2014,2014-03-31
+VLO,Valero Energy,Net Positivity,CQ12014,0.37,1,2014,2014-03-31
+AFL,Aflac,Net Positivity,CQ12014,0.23,1,2014,2014-03-31
+ALL,Allstate,Net Positivity,CQ12014,0.8,1,2014,2014-03-31
+AXP,American Express,Net Positivity,CQ12014,1.19,1,2014,2014-03-31
+AIG,American International Group,Net Positivity,CQ12014,-0.04,1,2014,2014-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12014,2.76,1,2014,2014-03-31
+AON,Aon plc,Net Positivity,CQ12014,1.71,1,2014,2014-03-31
+BK,BNY Mellon,Net Positivity,CQ12014,1.12,1,2014,2014-03-31
+BAC,Bank of America,Net Positivity,CQ12014,0.74,1,2014,2014-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12014,,1,2014,2014-03-31
+BLK,BlackRock,Net Positivity,CQ12014,0.84,1,2014,2014-03-31
+CME,CME Group,Net Positivity,CQ12014,0.7,1,2014,2014-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12014,,1,2014,2014-03-31
+CB,Chubb Limited,Net Positivity,CQ12014,0.36,1,2014,2014-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12014,0.39,1,2014,2014-03-31
+C,Citigroup,Net Positivity,CQ12014,0.46,1,2014,2014-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12014,1.72,1,2014,2014-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12014,0.81,1,2014,2014-03-31
+FISV,Fiserv,Net Positivity,CQ12014,1.23,1,2014,2014-03-31
+GS,Goldman Sachs,Net Positivity,CQ12014,0.44,1,2014,2014-03-31
+HIG,Hartford Financial,Net Positivity,CQ12014,1.05,1,2014,2014-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12014,0.36,1,2014,2014-03-31
+IVZ,Invesco,Net Positivity,CQ12014,1.11,1,2014,2014-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12014,0.71,1,2014,2014-03-31
+KEY,KeyCorp,Net Positivity,CQ12014,1.29,1,2014,2014-03-31
+MA,Mastercard,Net Positivity,CQ12014,0.23,1,2014,2014-03-31
+MET,MetLife,Net Positivity,CQ12014,0.42,1,2014,2014-03-31
+MS,Morgan Stanley,Net Positivity,CQ12014,0.53,1,2014,2014-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12014,1.57,1,2014,2014-03-31
+NTRS,Northern Trust,Net Positivity,CQ12014,0.78,1,2014,2014-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12014,0.55,1,2014,2014-03-31
+PRU,Prudential Financial,Net Positivity,CQ12014,0.5,1,2014,2014-03-31
+RF,Regions Financial,Net Positivity,CQ12014,0.62,1,2014,2014-03-31
+SPGI,S&P Global,Net Positivity,CQ12014,0.58,1,2014,2014-03-31
+STT,State Street,Net Positivity,CQ12014,0.49,1,2014,2014-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12014,,1,2014,2014-03-31
+TRV,Travelers Companies,Net Positivity,CQ12014,0.15,1,2014,2014-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12014,0.42,1,2014,2014-03-31
+V,Visa,Net Positivity,CQ12014,-0.01,1,2014,2014-03-31
+WFC,Wells Fargo,Net Positivity,CQ12014,1.13,1,2014,2014-03-31
+ABBV,AbbVie,Net Positivity,CQ12014,1.54,1,2014,2014-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12014,1.02,1,2014,2014-03-31
+A,Agilent Technologies,Net Positivity,CQ12014,0.25,1,2014,2014-03-31
+AMGN,Amgen,Net Positivity,CQ12014,0.87,1,2014,2014-03-31
+BAX,Baxter International,Net Positivity,CQ12014,1.07,1,2014,2014-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12014,1.22,1,2014,2014-03-31
+BIIB,Biogen,Net Positivity,CQ12014,0.8,1,2014,2014-03-31
+BSX,Boston Scientific,Net Positivity,CQ12014,1.39,1,2014,2014-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12014,1.42,1,2014,2014-03-31
+CVS,CVS Health,Net Positivity,CQ12014,1.25,1,2014,2014-03-31
+COR,Cencora,Net Positivity,CQ12014,,1,2014,2014-03-31
+CI,Cigna,Net Positivity,CQ12014,1.48,1,2014,2014-03-31
+DVA,DaVita,Net Positivity,CQ12014,0.13,1,2014,2014-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12014,1.2,1,2014,2014-03-31
+LLY,Eli Lilly,Net Positivity,CQ12014,0.64,1,2014,2014-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12014,0.65,1,2014,2014-03-31
+HUM,Humana,Net Positivity,CQ12014,0.64,1,2014,2014-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12014,0.46,1,2014,2014-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12014,1.93,1,2014,2014-03-31
+LH,Labcorp,Net Positivity,CQ12014,1.1,1,2014,2014-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12014,0.7,1,2014,2014-03-31
+MDT,Medtronic,Net Positivity,CQ12014,1.12,1,2014,2014-03-31
+MRK,Merck & Co.,Net Positivity,CQ12014,1.39,1,2014,2014-03-31
+PFE,Pfizer,Net Positivity,CQ12014,0.86,1,2014,2014-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12014,1.59,1,2014,2014-03-31
+WAT,Waters Corporation,Net Positivity,CQ12014,1.21,1,2014,2014-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12014,1.34,1,2014,2014-03-31
+MMM,3M,Net Positivity,CQ12014,1.09,1,2014,2014-03-31
+AME,Ametek,Net Positivity,CQ12014,1.97,1,2014,2014-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12014,1.36,1,2014,2014-03-31
+BA,Boeing,Net Positivity,CQ12014,1.69,1,2014,2014-03-31
+CSX,CSX Corporation,Net Positivity,CQ12014,0.72,1,2014,2014-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12014,0.46,1,2014,2014-03-31
+CTAS,Cintas,Net Positivity,CQ12014,0.58,1,2014,2014-03-31
+CMI,Cummins,Net Positivity,CQ12014,0.21,1,2014,2014-03-31
+DE,Deere & Company,Net Positivity,CQ12014,0.36,1,2014,2014-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12014,0.17,1,2014,2014-03-31
+EMR,Emerson Electric,Net Positivity,CQ12014,1.38,1,2014,2014-03-31
+EFX,Equifax,Net Positivity,CQ12014,0.76,1,2014,2014-03-31
+EXPD,Expeditors International,Net Positivity,CQ12014,,1,2014,2014-03-31
+FDX,FedEx,Net Positivity,CQ12014,0.66,1,2014,2014-03-31
+GE,GE Aerospace,Net Positivity,CQ12014,0.73,1,2014,2014-03-31
+GD,General Dynamics,Net Positivity,CQ12014,0.18,1,2014,2014-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12014,1.37,1,2014,2014-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12014,0.77,1,2014,2014-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12014,1.1,1,2014,2014-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12014,0.63,1,2014,2014-03-31
+PCAR,Paccar,Net Positivity,CQ12014,2.36,1,2014,2014-03-31
+RTX,RTX Corporation,Net Positivity,CQ12014,0.71,1,2014,2014-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12014,1.32,1,2014,2014-03-31
+ROP,Roper Technologies,Net Positivity,CQ12014,1.01,1,2014,2014-03-31
+SNA,Snap-on,Net Positivity,CQ12014,1.46,1,2014,2014-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12014,0.91,1,2014,2014-03-31
+UPS,United Parcel Service,Net Positivity,CQ12014,1.12,1,2014,2014-03-31
+WM,Waste Management,Net Positivity,CQ12014,0.22,1,2014,2014-03-31
+ACN,Accenture,Net Positivity,CQ12014,1.19,1,2014,2014-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12014,2.24,1,2014,2014-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12014,0.9,1,2014,2014-03-31
+APH,Amphenol,Net Positivity,CQ12014,2.01,1,2014,2014-03-31
+ADI,Analog Devices,Net Positivity,CQ12014,1.39,1,2014,2014-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12014,1.89,1,2014,2014-03-31
+AMAT,Applied Materials,Net Positivity,CQ12014,1.95,1,2014,2014-03-31
+ADSK,Autodesk,Net Positivity,CQ12014,0.85,1,2014,2014-03-31
+AVGO,Broadcom,Net Positivity,CQ12014,0.67,1,2014,2014-03-31
+CSCO,Cisco,Net Positivity,CQ12014,0.6,1,2014,2014-03-31
+CTSH,Cognizant,Net Positivity,CQ12014,1.6,1,2014,2014-03-31
+HPQ,HP Inc.,Net Positivity,CQ12014,1.34,1,2014,2014-03-31
+IBM,IBM,Net Positivity,CQ12014,0.77,1,2014,2014-03-31
+INTC,Intel,Net Positivity,CQ12014,0.86,1,2014,2014-03-31
+INTU,Intuit,Net Positivity,CQ12014,0.89,1,2014,2014-03-31
+LRCX,Lam Research,Net Positivity,CQ12014,1.34,1,2014,2014-03-31
+MU,Micron Technology,Net Positivity,CQ12014,0.81,1,2014,2014-03-31
+MSFT,Microsoft,Net Positivity,CQ12014,1.58,1,2014,2014-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12014,0.79,1,2014,2014-03-31
+NTAP,NetApp,Net Positivity,CQ12014,0.65,1,2014,2014-03-31
+NVDA,Nvidia,Net Positivity,CQ12014,1.3,1,2014,2014-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12014,1.28,1,2014,2014-03-31
+TXN,Texas Instruments,Net Positivity,CQ12014,0.3,1,2014,2014-03-31
+APD,Air Products,Net Positivity,CQ12014,0.4,1,2014,2014-03-31
+AVY,Avery Dennison,Net Positivity,CQ12014,1.06,1,2014,2014-03-31
+ECL,Ecolab,Net Positivity,CQ12014,1.92,1,2014,2014-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12014,2.63,1,2014,2014-03-31
+IP,International Paper,Net Positivity,CQ12014,0.91,1,2014,2014-03-31
+LIN,Linde plc,Net Positivity,CQ12014,0.82,1,2014,2014-03-31
+NEM,Newmont,Net Positivity,CQ12014,1.42,1,2014,2014-03-31
+NUE,Nucor,Net Positivity,CQ12014,1.46,1,2014,2014-03-31
+AMT,American Tower,Net Positivity,CQ12014,1.12,1,2014,2014-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12014,0.4,1,2014,2014-03-31
+EQR,Equity Residential,Net Positivity,CQ12014,0.76,1,2014,2014-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12014,1.19,1,2014,2014-03-31
+IRM,Iron Mountain,Net Positivity,CQ12014,0.94,1,2014,2014-03-31
+PLD,Prologis,Net Positivity,CQ12014,0.6,1,2014,2014-03-31
+VTR,Ventas,Net Positivity,CQ12014,1.69,1,2014,2014-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12014,0.06,1,2014,2014-03-31
+AES,AES Corporation,Net Positivity,CQ12014,0.91,1,2014,2014-03-31
+AEE,Ameren,Net Positivity,CQ12014,0.72,1,2014,2014-03-31
+AEP,American Electric Power,Net Positivity,CQ12014,0.94,1,2014,2014-03-31
+CMS,CMS Energy,Net Positivity,CQ12014,0.82,1,2014,2014-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12014,1.56,1,2014,2014-03-31
+DUK,Duke Energy,Net Positivity,CQ12014,0.97,1,2014,2014-03-31
+EIX,Edison International,Net Positivity,CQ12014,-0.1,1,2014,2014-03-31
+ETR,Entergy,Net Positivity,CQ12014,0.71,1,2014,2014-03-31
+EXC,Exelon,Net Positivity,CQ12014,0.29,1,2014,2014-03-31
+NEE,NextEra Energy,Net Positivity,CQ12014,0.86,1,2014,2014-03-31
+SO,Southern Company,Net Positivity,CQ12014,0.27,1,2014,2014-03-31
+XEL,Xcel Energy,Net Positivity,CQ12014,1.04,1,2014,2014-03-31
+T,AT&T,Numeric Transeprency,CQ12014,2.39,1,2014,2014-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12014,1.26,1,2014,2014-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12014,,1,2014,2014-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12014,1.46,1,2014,2014-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12014,0.9,1,2014,2014-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12014,2.5,1,2014,2014-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12014,2.45,1,2014,2014-03-31
+VZ,Verizon,Numeric Transeprency,CQ12014,4.04,1,2014,2014-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12014,2.94,1,2014,2014-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12014,1.94,1,2014,2014-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12014,2.13,1,2014,2014-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12014,1.91,1,2014,2014-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12014,2.28,1,2014,2014-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12014,1.98,1,2014,2014-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12014,3.7,1,2014,2014-03-31
+GM,General Motors,Numeric Transeprency,CQ12014,4.54,1,2014,2014-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12014,5.01,1,2014,2014-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12014,3.13,1,2014,2014-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12014,3.52,1,2014,2014-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12014,1.88,1,2014,2014-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12014,1.52,1,2014,2014-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12014,3.13,1,2014,2014-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12014,3.88,1,2014,2014-03-31
+TGT,Target,Numeric Transeprency,CQ12014,2.43,1,2014,2014-03-31
+MO,Altria,Numeric Transeprency,CQ12014,3.03,1,2014,2014-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12014,2.38,1,2014,2014-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12014,1.34,1,2014,2014-03-31
+CLX,Clorox,Numeric Transeprency,CQ12014,2.21,1,2014,2014-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12014,2.23,1,2014,2014-03-31
+COST,Costco,Numeric Transeprency,CQ12014,4.13,1,2014,2014-03-31
+GIS,General Mills,Numeric Transeprency,CQ12014,2.4,1,2014,2014-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12014,3.27,1,2014,2014-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12014,2.06,1,2014,2014-03-31
+KR,Kroger,Numeric Transeprency,CQ12014,2.33,1,2014,2014-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12014,2.28,1,2014,2014-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12014,2.0,1,2014,2014-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12014,1.56,1,2014,2014-03-31
+SYY,Sysco,Numeric Transeprency,CQ12014,1.99,1,2014,2014-03-31
+WMT,Walmart,Numeric Transeprency,CQ12014,4.42,1,2014,2014-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12014,3.03,1,2014,2014-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12014,,1,2014,2014-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12014,2.86,1,2014,2014-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12014,3.72,1,2014,2014-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12014,2.46,1,2014,2014-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12014,2.15,1,2014,2014-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12014,3.75,1,2014,2014-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12014,2.57,1,2014,2014-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12014,2.31,1,2014,2014-03-31
+AFL,Aflac,Numeric Transeprency,CQ12014,2.34,1,2014,2014-03-31
+ALL,Allstate,Numeric Transeprency,CQ12014,2.52,1,2014,2014-03-31
+AXP,American Express,Numeric Transeprency,CQ12014,2.13,1,2014,2014-03-31
+AIG,American International Group,Numeric Transeprency,CQ12014,2.85,1,2014,2014-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12014,2.52,1,2014,2014-03-31
+AON,Aon plc,Numeric Transeprency,CQ12014,3.56,1,2014,2014-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12014,1.85,1,2014,2014-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12014,3.24,1,2014,2014-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12014,,1,2014,2014-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12014,3.04,1,2014,2014-03-31
+CME,CME Group,Numeric Transeprency,CQ12014,2.23,1,2014,2014-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12014,,1,2014,2014-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12014,2.29,1,2014,2014-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12014,3.52,1,2014,2014-03-31
+C,Citigroup,Numeric Transeprency,CQ12014,2.66,1,2014,2014-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12014,3.04,1,2014,2014-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12014,5.26,1,2014,2014-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12014,2.98,1,2014,2014-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12014,1.79,1,2014,2014-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12014,4.07,1,2014,2014-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12014,3.09,1,2014,2014-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12014,1.8,1,2014,2014-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12014,2.81,1,2014,2014-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12014,3.17,1,2014,2014-03-31
+MA,Mastercard,Numeric Transeprency,CQ12014,1.96,1,2014,2014-03-31
+MET,MetLife,Numeric Transeprency,CQ12014,3.41,1,2014,2014-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12014,2.87,1,2014,2014-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12014,3.05,1,2014,2014-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12014,2.88,1,2014,2014-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12014,2.82,1,2014,2014-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12014,3.05,1,2014,2014-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12014,2.41,1,2014,2014-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12014,2.91,1,2014,2014-03-31
+STT,State Street,Numeric Transeprency,CQ12014,2.81,1,2014,2014-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12014,,1,2014,2014-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12014,1.97,1,2014,2014-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12014,2.45,1,2014,2014-03-31
+V,Visa,Numeric Transeprency,CQ12014,1.57,1,2014,2014-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12014,3.01,1,2014,2014-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12014,2.9,1,2014,2014-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12014,2.32,1,2014,2014-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12014,2.67,1,2014,2014-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12014,2.47,1,2014,2014-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12014,3.7,1,2014,2014-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12014,2.58,1,2014,2014-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12014,2.22,1,2014,2014-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12014,4.17,1,2014,2014-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12014,1.28,1,2014,2014-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12014,2.29,1,2014,2014-03-31
+COR,Cencora,Numeric Transeprency,CQ12014,,1,2014,2014-03-31
+CI,Cigna,Numeric Transeprency,CQ12014,3.14,1,2014,2014-03-31
+DVA,DaVita,Numeric Transeprency,CQ12014,1.63,1,2014,2014-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12014,2.71,1,2014,2014-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12014,2.25,1,2014,2014-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12014,2.7,1,2014,2014-03-31
+HUM,Humana,Numeric Transeprency,CQ12014,1.84,1,2014,2014-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12014,3.27,1,2014,2014-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12014,2.65,1,2014,2014-03-31
+LH,Labcorp,Numeric Transeprency,CQ12014,1.67,1,2014,2014-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12014,1.92,1,2014,2014-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12014,2.4,1,2014,2014-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12014,1.69,1,2014,2014-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12014,2.73,1,2014,2014-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12014,3.24,1,2014,2014-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12014,2.1,1,2014,2014-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12014,3.0,1,2014,2014-03-31
+MMM,3M,Numeric Transeprency,CQ12014,3.37,1,2014,2014-03-31
+AME,Ametek,Numeric Transeprency,CQ12014,4.0,1,2014,2014-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12014,1.49,1,2014,2014-03-31
+BA,Boeing,Numeric Transeprency,CQ12014,3.82,1,2014,2014-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12014,3.12,1,2014,2014-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12014,3.67,1,2014,2014-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12014,1.95,1,2014,2014-03-31
+CMI,Cummins,Numeric Transeprency,CQ12014,3.92,1,2014,2014-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12014,3.14,1,2014,2014-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12014,3.52,1,2014,2014-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12014,2.09,1,2014,2014-03-31
+EFX,Equifax,Numeric Transeprency,CQ12014,3.98,1,2014,2014-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12014,,1,2014,2014-03-31
+FDX,FedEx,Numeric Transeprency,CQ12014,1.66,1,2014,2014-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12014,5.89,1,2014,2014-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12014,3.21,1,2014,2014-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12014,4.69,1,2014,2014-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12014,3.13,1,2014,2014-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12014,3.13,1,2014,2014-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12014,3.71,1,2014,2014-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12014,2.52,1,2014,2014-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12014,3.74,1,2014,2014-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12014,2.12,1,2014,2014-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12014,3.46,1,2014,2014-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12014,3.53,1,2014,2014-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12014,3.12,1,2014,2014-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12014,2.11,1,2014,2014-03-31
+WM,Waste Management,Numeric Transeprency,CQ12014,3.61,1,2014,2014-03-31
+ACN,Accenture,Numeric Transeprency,CQ12014,2.23,1,2014,2014-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12014,1.93,1,2014,2014-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12014,2.88,1,2014,2014-03-31
+APH,Amphenol,Numeric Transeprency,CQ12014,2.91,1,2014,2014-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12014,1.93,1,2014,2014-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12014,3.39,1,2014,2014-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12014,2.08,1,2014,2014-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12014,1.95,1,2014,2014-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12014,1.74,1,2014,2014-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12014,2.71,1,2014,2014-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12014,2.77,1,2014,2014-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12014,2.49,1,2014,2014-03-31
+IBM,IBM,Numeric Transeprency,CQ12014,3.37,1,2014,2014-03-31
+INTC,Intel,Numeric Transeprency,CQ12014,1.7,1,2014,2014-03-31
+INTU,Intuit,Numeric Transeprency,CQ12014,1.91,1,2014,2014-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12014,3.23,1,2014,2014-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12014,1.86,1,2014,2014-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12014,1.92,1,2014,2014-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12014,3.39,1,2014,2014-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12014,1.33,1,2014,2014-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12014,1.75,1,2014,2014-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12014,2.06,1,2014,2014-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12014,2.5,1,2014,2014-03-31
+APD,Air Products,Numeric Transeprency,CQ12014,2.35,1,2014,2014-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12014,2.92,1,2014,2014-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12014,2.16,1,2014,2014-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12014,3.15,1,2014,2014-03-31
+IP,International Paper,Numeric Transeprency,CQ12014,2.55,1,2014,2014-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12014,3.49,1,2014,2014-03-31
+NEM,Newmont,Numeric Transeprency,CQ12014,4.92,1,2014,2014-03-31
+NUE,Nucor,Numeric Transeprency,CQ12014,1.36,1,2014,2014-03-31
+AMT,American Tower,Numeric Transeprency,CQ12014,3.83,1,2014,2014-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12014,3.21,1,2014,2014-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12014,3.86,1,2014,2014-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12014,4.83,1,2014,2014-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12014,3.15,1,2014,2014-03-31
+PLD,Prologis,Numeric Transeprency,CQ12014,3.36,1,2014,2014-03-31
+VTR,Ventas,Numeric Transeprency,CQ12014,3.66,1,2014,2014-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12014,2.54,1,2014,2014-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12014,4.36,1,2014,2014-03-31
+AEE,Ameren,Numeric Transeprency,CQ12014,3.61,1,2014,2014-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12014,3.17,1,2014,2014-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12014,2.34,1,2014,2014-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12014,3.68,1,2014,2014-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12014,4.55,1,2014,2014-03-31
+EIX,Edison International,Numeric Transeprency,CQ12014,2.56,1,2014,2014-03-31
+ETR,Entergy,Numeric Transeprency,CQ12014,2.36,1,2014,2014-03-31
+EXC,Exelon,Numeric Transeprency,CQ12014,3.12,1,2014,2014-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12014,3.04,1,2014,2014-03-31
+SO,Southern Company,Numeric Transeprency,CQ12014,3.43,1,2014,2014-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12014,2.79,1,2014,2014-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12014,20.69,1,2014,2014-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12014,26.67,1,2014,2014-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12014,,1,2014,2014-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12014,27.91,1,2014,2014-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12014,5.56,1,2014,2014-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12014,46.67,1,2014,2014-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12014,36.84,1,2014,2014-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12014,27.59,1,2014,2014-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12014,34.88,1,2014,2014-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12014,40.91,1,2014,2014-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12014,24.0,1,2014,2014-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12014,46.15,1,2014,2014-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12014,14.29,1,2014,2014-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12014,20.69,1,2014,2014-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12014,34.78,1,2014,2014-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12014,42.86,1,2014,2014-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12014,71.43,1,2014,2014-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12014,40.0,1,2014,2014-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12014,34.38,1,2014,2014-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12014,20.69,1,2014,2014-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12014,60.0,1,2014,2014-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12014,30.77,1,2014,2014-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12014,21.43,1,2014,2014-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12014,53.33,1,2014,2014-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12014,64.71,1,2014,2014-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12014,42.86,1,2014,2014-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12014,45.0,1,2014,2014-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12014,24.0,1,2014,2014-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12014,41.38,1,2014,2014-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12014,35.0,1,2014,2014-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12014,63.16,1,2014,2014-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12014,44.44,1,2014,2014-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12014,52.63,1,2014,2014-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12014,66.67,1,2014,2014-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12014,34.78,1,2014,2014-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12014,53.85,1,2014,2014-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12014,53.33,1,2014,2014-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12014,0.0,1,2014,2014-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12014,27.27,1,2014,2014-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12014,,1,2014,2014-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12014,13.79,1,2014,2014-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12014,23.53,1,2014,2014-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12014,54.55,1,2014,2014-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12014,23.53,1,2014,2014-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12014,20.83,1,2014,2014-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12014,28.57,1,2014,2014-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12014,55.56,1,2014,2014-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12014,28.57,1,2014,2014-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12014,29.63,1,2014,2014-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12014,27.59,1,2014,2014-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12014,20.83,1,2014,2014-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12014,25.0,1,2014,2014-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12014,35.0,1,2014,2014-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12014,42.11,1,2014,2014-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12014,38.71,1,2014,2014-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12014,,1,2014,2014-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12014,23.81,1,2014,2014-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12014,61.11,1,2014,2014-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12014,,1,2014,2014-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12014,48.0,1,2014,2014-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12014,53.57,1,2014,2014-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12014,31.58,1,2014,2014-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12014,25.93,1,2014,2014-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12014,28.57,1,2014,2014-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12014,44.44,1,2014,2014-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12014,45.0,1,2014,2014-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12014,41.18,1,2014,2014-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12014,41.94,1,2014,2014-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12014,41.38,1,2014,2014-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12014,48.48,1,2014,2014-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12014,27.27,1,2014,2014-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12014,24.14,1,2014,2014-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12014,53.33,1,2014,2014-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12014,47.37,1,2014,2014-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12014,31.03,1,2014,2014-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12014,33.33,1,2014,2014-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12014,55.17,1,2014,2014-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12014,58.33,1,2014,2014-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12014,47.62,1,2014,2014-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12014,,1,2014,2014-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12014,33.33,1,2014,2014-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12014,45.16,1,2014,2014-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12014,41.18,1,2014,2014-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12014,30.3,1,2014,2014-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12014,38.46,1,2014,2014-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12014,30.77,1,2014,2014-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12014,64.71,1,2014,2014-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12014,55.17,1,2014,2014-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12014,40.0,1,2014,2014-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12014,40.91,1,2014,2014-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12014,36.67,1,2014,2014-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12014,31.82,1,2014,2014-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12014,52.38,1,2014,2014-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12014,,1,2014,2014-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12014,23.08,1,2014,2014-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12014,55.56,1,2014,2014-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12014,36.0,1,2014,2014-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12014,60.0,1,2014,2014-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12014,41.38,1,2014,2014-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12014,54.17,1,2014,2014-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12014,23.81,1,2014,2014-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12014,33.33,1,2014,2014-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12014,60.0,1,2014,2014-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12014,55.56,1,2014,2014-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12014,33.33,1,2014,2014-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12014,55.0,1,2014,2014-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12014,61.9,1,2014,2014-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12014,77.78,1,2014,2014-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12014,54.55,1,2014,2014-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12014,37.5,1,2014,2014-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12014,52.94,1,2014,2014-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12014,33.33,1,2014,2014-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12014,42.31,1,2014,2014-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12014,31.03,1,2014,2014-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12014,56.67,1,2014,2014-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12014,21.43,1,2014,2014-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12014,26.92,1,2014,2014-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12014,41.67,1,2014,2014-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12014,42.31,1,2014,2014-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12014,46.43,1,2014,2014-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12014,66.67,1,2014,2014-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12014,,1,2014,2014-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12014,41.94,1,2014,2014-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12014,47.62,1,2014,2014-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12014,57.14,1,2014,2014-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12014,47.83,1,2014,2014-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12014,58.62,1,2014,2014-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12014,33.33,1,2014,2014-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12014,46.15,1,2014,2014-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12014,34.78,1,2014,2014-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12014,83.33,1,2014,2014-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12014,64.71,1,2014,2014-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12014,76.92,1,2014,2014-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12014,36.0,1,2014,2014-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12014,43.48,1,2014,2014-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12014,60.87,1,2014,2014-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12014,80.0,1,2014,2014-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12014,19.23,1,2014,2014-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12014,59.09,1,2014,2014-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12014,25.0,1,2014,2014-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12014,26.83,1,2014,2014-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12014,32.14,1,2014,2014-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12014,33.33,1,2014,2014-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12014,31.25,1,2014,2014-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12014,25.0,1,2014,2014-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12014,55.0,1,2014,2014-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12014,60.0,1,2014,2014-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12014,23.53,1,2014,2014-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12014,37.14,1,2014,2014-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12014,39.13,1,2014,2014-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12014,30.56,1,2014,2014-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12014,28.57,1,2014,2014-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12014,21.95,1,2014,2014-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12014,28.21,1,2014,2014-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12014,52.17,1,2014,2014-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12014,70.0,1,2014,2014-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12014,75.0,1,2014,2014-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12014,58.33,1,2014,2014-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12014,52.94,1,2014,2014-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12014,26.09,1,2014,2014-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12014,47.83,1,2014,2014-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12014,35.0,1,2014,2014-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12014,20.0,1,2014,2014-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12014,60.0,1,2014,2014-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12014,25.0,1,2014,2014-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12014,46.15,1,2014,2014-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12014,60.0,1,2014,2014-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12014,40.0,1,2014,2014-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12014,40.91,1,2014,2014-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12014,37.5,1,2014,2014-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12014,50.0,1,2014,2014-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12014,31.82,1,2014,2014-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12014,30.0,1,2014,2014-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12014,26.32,1,2014,2014-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12014,36.36,1,2014,2014-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12014,36.0,1,2014,2014-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12014,37.5,1,2014,2014-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12014,26.32,1,2014,2014-03-31
+T,AT&T,Language Complexity,CQ12014,11.12,1,2014,2014-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12014,12.25,1,2014,2014-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12014,,1,2014,2014-03-31
+META,Meta Platforms,Language Complexity,CQ12014,12.67,1,2014,2014-03-31
+NFLX,Netflix,Language Complexity,CQ12014,10.1,1,2014,2014-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12014,13.61,1,2014,2014-03-31
+OMC,Omnicom Group,Language Complexity,CQ12014,13.06,1,2014,2014-03-31
+VZ,Verizon,Language Complexity,CQ12014,12.08,1,2014,2014-03-31
+AMZN,Amazon,Language Complexity,CQ12014,10.87,1,2014,2014-03-31
+AZO,AutoZone,Language Complexity,CQ12014,12.48,1,2014,2014-03-31
+BBY,Best Buy,Language Complexity,CQ12014,14.05,1,2014,2014-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12014,12.68,1,2014,2014-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12014,13.25,1,2014,2014-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12014,12.83,1,2014,2014-03-31
+F,Ford Motor Company,Language Complexity,CQ12014,12.29,1,2014,2014-03-31
+GM,General Motors,Language Complexity,CQ12014,11.74,1,2014,2014-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12014,12.46,1,2014,2014-03-31
+HAS,Hasbro,Language Complexity,CQ12014,13.39,1,2014,2014-03-31
+LOW,Lowe's,Language Complexity,CQ12014,12.5,1,2014,2014-03-31
+MCD,McDonald's,Language Complexity,CQ12014,13.04,1,2014,2014-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12014,13.37,1,2014,2014-03-31
+ROST,Ross Stores,Language Complexity,CQ12014,10.59,1,2014,2014-03-31
+TJX,TJX Companies,Language Complexity,CQ12014,11.08,1,2014,2014-03-31
+TGT,Target,Language Complexity,CQ12014,14.32,1,2014,2014-03-31
+MO,Altria,Language Complexity,CQ12014,12.17,1,2014,2014-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12014,11.55,1,2014,2014-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12014,11.95,1,2014,2014-03-31
+CLX,Clorox,Language Complexity,CQ12014,12.31,1,2014,2014-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12014,14.03,1,2014,2014-03-31
+COST,Costco,Language Complexity,CQ12014,10.11,1,2014,2014-03-31
+GIS,General Mills,Language Complexity,CQ12014,10.85,1,2014,2014-03-31
+HSY,Hershey Company,Language Complexity,CQ12014,12.31,1,2014,2014-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12014,10.98,1,2014,2014-03-31
+KR,Kroger,Language Complexity,CQ12014,11.91,1,2014,2014-03-31
+MKC,McCormick & Company,Language Complexity,CQ12014,11.82,1,2014,2014-03-31
+PEP,PepsiCo,Language Complexity,CQ12014,14.39,1,2014,2014-03-31
+PG,Procter & Gamble,Language Complexity,CQ12014,12.66,1,2014,2014-03-31
+SYY,Sysco,Language Complexity,CQ12014,13.08,1,2014,2014-03-31
+WMT,Walmart,Language Complexity,CQ12014,15.52,1,2014,2014-03-31
+APA,APA Corporation,Language Complexity,CQ12014,12.1,1,2014,2014-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12014,,1,2014,2014-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12014,11.38,1,2014,2014-03-31
+EOG,EOG Resources,Language Complexity,CQ12014,11.33,1,2014,2014-03-31
+XOM,ExxonMobil,Language Complexity,CQ12014,12.17,1,2014,2014-03-31
+HAL,Halliburton,Language Complexity,CQ12014,13.0,1,2014,2014-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12014,13.65,1,2014,2014-03-31
+SLB,Schlumberger,Language Complexity,CQ12014,12.93,1,2014,2014-03-31
+VLO,Valero Energy,Language Complexity,CQ12014,10.33,1,2014,2014-03-31
+AFL,Aflac,Language Complexity,CQ12014,12.43,1,2014,2014-03-31
+ALL,Allstate,Language Complexity,CQ12014,12.65,1,2014,2014-03-31
+AXP,American Express,Language Complexity,CQ12014,14.26,1,2014,2014-03-31
+AIG,American International Group,Language Complexity,CQ12014,14.55,1,2014,2014-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12014,13.25,1,2014,2014-03-31
+AON,Aon plc,Language Complexity,CQ12014,14.13,1,2014,2014-03-31
+BK,BNY Mellon,Language Complexity,CQ12014,12.0,1,2014,2014-03-31
+BAC,Bank of America,Language Complexity,CQ12014,11.76,1,2014,2014-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12014,,1,2014,2014-03-31
+BLK,BlackRock,Language Complexity,CQ12014,13.55,1,2014,2014-03-31
+CME,CME Group,Language Complexity,CQ12014,11.64,1,2014,2014-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12014,,1,2014,2014-03-31
+CB,Chubb Limited,Language Complexity,CQ12014,11.2,1,2014,2014-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12014,13.1,1,2014,2014-03-31
+C,Citigroup,Language Complexity,CQ12014,12.61,1,2014,2014-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12014,12.19,1,2014,2014-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12014,13.52,1,2014,2014-03-31
+FISV,Fiserv,Language Complexity,CQ12014,12.85,1,2014,2014-03-31
+GS,Goldman Sachs,Language Complexity,CQ12014,12.27,1,2014,2014-03-31
+HIG,Hartford Financial,Language Complexity,CQ12014,12.89,1,2014,2014-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12014,12.8,1,2014,2014-03-31
+IVZ,Invesco,Language Complexity,CQ12014,11.07,1,2014,2014-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12014,11.93,1,2014,2014-03-31
+KEY,KeyCorp,Language Complexity,CQ12014,11.62,1,2014,2014-03-31
+MA,Mastercard,Language Complexity,CQ12014,11.97,1,2014,2014-03-31
+MET,MetLife,Language Complexity,CQ12014,12.85,1,2014,2014-03-31
+MS,Morgan Stanley,Language Complexity,CQ12014,12.03,1,2014,2014-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12014,14.07,1,2014,2014-03-31
+NTRS,Northern Trust,Language Complexity,CQ12014,13.21,1,2014,2014-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12014,11.01,1,2014,2014-03-31
+PRU,Prudential Financial,Language Complexity,CQ12014,13.66,1,2014,2014-03-31
+RF,Regions Financial,Language Complexity,CQ12014,12.53,1,2014,2014-03-31
+SPGI,S&P Global,Language Complexity,CQ12014,13.46,1,2014,2014-03-31
+STT,State Street,Language Complexity,CQ12014,12.95,1,2014,2014-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12014,,1,2014,2014-03-31
+TRV,Travelers Companies,Language Complexity,CQ12014,12.75,1,2014,2014-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12014,11.53,1,2014,2014-03-31
+V,Visa,Language Complexity,CQ12014,12.19,1,2014,2014-03-31
+WFC,Wells Fargo,Language Complexity,CQ12014,12.13,1,2014,2014-03-31
+ABBV,AbbVie,Language Complexity,CQ12014,12.91,1,2014,2014-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12014,12.79,1,2014,2014-03-31
+A,Agilent Technologies,Language Complexity,CQ12014,11.32,1,2014,2014-03-31
+AMGN,Amgen,Language Complexity,CQ12014,11.95,1,2014,2014-03-31
+BAX,Baxter International,Language Complexity,CQ12014,13.87,1,2014,2014-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12014,11.32,1,2014,2014-03-31
+BIIB,Biogen,Language Complexity,CQ12014,12.51,1,2014,2014-03-31
+BSX,Boston Scientific,Language Complexity,CQ12014,12.87,1,2014,2014-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12014,12.71,1,2014,2014-03-31
+CVS,CVS Health,Language Complexity,CQ12014,12.44,1,2014,2014-03-31
+COR,Cencora,Language Complexity,CQ12014,,1,2014,2014-03-31
+CI,Cigna,Language Complexity,CQ12014,14.43,1,2014,2014-03-31
+DVA,DaVita,Language Complexity,CQ12014,10.77,1,2014,2014-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12014,12.35,1,2014,2014-03-31
+LLY,Eli Lilly,Language Complexity,CQ12014,11.93,1,2014,2014-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12014,12.08,1,2014,2014-03-31
+HUM,Humana,Language Complexity,CQ12014,14.15,1,2014,2014-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12014,13.7,1,2014,2014-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12014,14.21,1,2014,2014-03-31
+LH,Labcorp,Language Complexity,CQ12014,12.88,1,2014,2014-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12014,14.25,1,2014,2014-03-31
+MDT,Medtronic,Language Complexity,CQ12014,14.24,1,2014,2014-03-31
+MRK,Merck & Co.,Language Complexity,CQ12014,12.34,1,2014,2014-03-31
+PFE,Pfizer,Language Complexity,CQ12014,13.09,1,2014,2014-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12014,13.9,1,2014,2014-03-31
+WAT,Waters Corporation,Language Complexity,CQ12014,12.8,1,2014,2014-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12014,13.78,1,2014,2014-03-31
+MMM,3M,Language Complexity,CQ12014,11.89,1,2014,2014-03-31
+AME,Ametek,Language Complexity,CQ12014,12.59,1,2014,2014-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12014,13.05,1,2014,2014-03-31
+BA,Boeing,Language Complexity,CQ12014,13.25,1,2014,2014-03-31
+CSX,CSX Corporation,Language Complexity,CQ12014,12.63,1,2014,2014-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12014,10.65,1,2014,2014-03-31
+CTAS,Cintas,Language Complexity,CQ12014,12.4,1,2014,2014-03-31
+CMI,Cummins,Language Complexity,CQ12014,11.63,1,2014,2014-03-31
+DE,Deere & Company,Language Complexity,CQ12014,11.03,1,2014,2014-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12014,11.03,1,2014,2014-03-31
+EMR,Emerson Electric,Language Complexity,CQ12014,9.63,1,2014,2014-03-31
+EFX,Equifax,Language Complexity,CQ12014,12.93,1,2014,2014-03-31
+EXPD,Expeditors International,Language Complexity,CQ12014,,1,2014,2014-03-31
+FDX,FedEx,Language Complexity,CQ12014,12.3,1,2014,2014-03-31
+GE,GE Aerospace,Language Complexity,CQ12014,9.82,1,2014,2014-03-31
+GD,General Dynamics,Language Complexity,CQ12014,11.15,1,2014,2014-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12014,10.76,1,2014,2014-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12014,13.24,1,2014,2014-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12014,11.32,1,2014,2014-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12014,12.46,1,2014,2014-03-31
+PCAR,Paccar,Language Complexity,CQ12014,9.78,1,2014,2014-03-31
+RTX,RTX Corporation,Language Complexity,CQ12014,9.87,1,2014,2014-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12014,10.72,1,2014,2014-03-31
+ROP,Roper Technologies,Language Complexity,CQ12014,10.39,1,2014,2014-03-31
+SNA,Snap-on,Language Complexity,CQ12014,11.99,1,2014,2014-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12014,12.28,1,2014,2014-03-31
+UPS,United Parcel Service,Language Complexity,CQ12014,11.97,1,2014,2014-03-31
+WM,Waste Management,Language Complexity,CQ12014,10.59,1,2014,2014-03-31
+ACN,Accenture,Language Complexity,CQ12014,12.66,1,2014,2014-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12014,13.69,1,2014,2014-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12014,12.04,1,2014,2014-03-31
+APH,Amphenol,Language Complexity,CQ12014,14.37,1,2014,2014-03-31
+ADI,Analog Devices,Language Complexity,CQ12014,12.9,1,2014,2014-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12014,11.68,1,2014,2014-03-31
+AMAT,Applied Materials,Language Complexity,CQ12014,11.94,1,2014,2014-03-31
+ADSK,Autodesk,Language Complexity,CQ12014,10.52,1,2014,2014-03-31
+AVGO,Broadcom,Language Complexity,CQ12014,11.15,1,2014,2014-03-31
+CSCO,Cisco,Language Complexity,CQ12014,12.6,1,2014,2014-03-31
+CTSH,Cognizant,Language Complexity,CQ12014,13.72,1,2014,2014-03-31
+HPQ,HP Inc.,Language Complexity,CQ12014,12.64,1,2014,2014-03-31
+IBM,IBM,Language Complexity,CQ12014,11.05,1,2014,2014-03-31
+INTC,Intel,Language Complexity,CQ12014,10.42,1,2014,2014-03-31
+INTU,Intuit,Language Complexity,CQ12014,11.89,1,2014,2014-03-31
+LRCX,Lam Research,Language Complexity,CQ12014,13.56,1,2014,2014-03-31
+MU,Micron Technology,Language Complexity,CQ12014,12.86,1,2014,2014-03-31
+MSFT,Microsoft,Language Complexity,CQ12014,11.93,1,2014,2014-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12014,12.75,1,2014,2014-03-31
+NTAP,NetApp,Language Complexity,CQ12014,11.87,1,2014,2014-03-31
+NVDA,Nvidia,Language Complexity,CQ12014,10.93,1,2014,2014-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12014,10.94,1,2014,2014-03-31
+TXN,Texas Instruments,Language Complexity,CQ12014,12.04,1,2014,2014-03-31
+APD,Air Products,Language Complexity,CQ12014,11.51,1,2014,2014-03-31
+AVY,Avery Dennison,Language Complexity,CQ12014,11.64,1,2014,2014-03-31
+ECL,Ecolab,Language Complexity,CQ12014,10.76,1,2014,2014-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12014,13.59,1,2014,2014-03-31
+IP,International Paper,Language Complexity,CQ12014,10.74,1,2014,2014-03-31
+LIN,Linde plc,Language Complexity,CQ12014,12.28,1,2014,2014-03-31
+NEM,Newmont,Language Complexity,CQ12014,12.66,1,2014,2014-03-31
+NUE,Nucor,Language Complexity,CQ12014,11.91,1,2014,2014-03-31
+AMT,American Tower,Language Complexity,CQ12014,13.85,1,2014,2014-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12014,11.64,1,2014,2014-03-31
+EQR,Equity Residential,Language Complexity,CQ12014,12.16,1,2014,2014-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12014,12.73,1,2014,2014-03-31
+IRM,Iron Mountain,Language Complexity,CQ12014,12.86,1,2014,2014-03-31
+PLD,Prologis,Language Complexity,CQ12014,10.13,1,2014,2014-03-31
+VTR,Ventas,Language Complexity,CQ12014,11.56,1,2014,2014-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12014,11.46,1,2014,2014-03-31
+AES,AES Corporation,Language Complexity,CQ12014,12.05,1,2014,2014-03-31
+AEE,Ameren,Language Complexity,CQ12014,13.7,1,2014,2014-03-31
+AEP,American Electric Power,Language Complexity,CQ12014,12.17,1,2014,2014-03-31
+CMS,CMS Energy,Language Complexity,CQ12014,10.8,1,2014,2014-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12014,13.4,1,2014,2014-03-31
+DUK,Duke Energy,Language Complexity,CQ12014,13.94,1,2014,2014-03-31
+EIX,Edison International,Language Complexity,CQ12014,11.84,1,2014,2014-03-31
+ETR,Entergy,Language Complexity,CQ12014,13.44,1,2014,2014-03-31
+EXC,Exelon,Language Complexity,CQ12014,11.64,1,2014,2014-03-31
+NEE,NextEra Energy,Language Complexity,CQ12014,14.6,1,2014,2014-03-31
+SO,Southern Company,Language Complexity,CQ12014,10.85,1,2014,2014-03-31
+XEL,Xcel Energy,Language Complexity,CQ12014,11.76,1,2014,2014-03-31
+T,AT&T,Net Positivity,CQ22014,1.86,2,2014,2014-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22014,1.37,2,2014,2014-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22014,,2,2014,2014-06-30
+META,Meta Platforms,Net Positivity,CQ22014,1.69,2,2014,2014-06-30
+NFLX,Netflix,Net Positivity,CQ22014,1.22,2,2014,2014-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22014,0.58,2,2014,2014-06-30
+OMC,Omnicom Group,Net Positivity,CQ22014,1.16,2,2014,2014-06-30
+VZ,Verizon,Net Positivity,CQ22014,1.08,2,2014,2014-06-30
+AMZN,Amazon,Net Positivity,CQ22014,1.06,2,2014,2014-06-30
+AZO,AutoZone,Net Positivity,CQ22014,1.13,2,2014,2014-06-30
+BBY,Best Buy,Net Positivity,CQ22014,1.11,2,2014,2014-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22014,1.23,2,2014,2014-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22014,1.69,2,2014,2014-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22014,0.97,2,2014,2014-06-30
+F,Ford Motor Company,Net Positivity,CQ22014,0.37,2,2014,2014-06-30
+GM,General Motors,Net Positivity,CQ22014,0.0,2,2014,2014-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22014,1.58,2,2014,2014-06-30
+HAS,Hasbro,Net Positivity,CQ22014,0.86,2,2014,2014-06-30
+LOW,Lowe's,Net Positivity,CQ22014,1.58,2,2014,2014-06-30
+MCD,McDonald's,Net Positivity,CQ22014,1.44,2,2014,2014-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22014,2.53,2,2014,2014-06-30
+ROST,Ross Stores,Net Positivity,CQ22014,1.19,2,2014,2014-06-30
+TJX,TJX Companies,Net Positivity,CQ22014,1.58,2,2014,2014-06-30
+TGT,Target,Net Positivity,CQ22014,1.46,2,2014,2014-06-30
+MO,Altria,Net Positivity,CQ22014,0.9,2,2014,2014-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22014,0.66,2,2014,2014-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22014,1.14,2,2014,2014-06-30
+CLX,Clorox,Net Positivity,CQ22014,0.46,2,2014,2014-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22014,2.53,2,2014,2014-06-30
+COST,Costco,Net Positivity,CQ22014,0.61,2,2014,2014-06-30
+GIS,General Mills,Net Positivity,CQ22014,1.57,2,2014,2014-06-30
+HSY,Hershey Company,Net Positivity,CQ22014,0.36,2,2014,2014-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22014,0.63,2,2014,2014-06-30
+KR,Kroger,Net Positivity,CQ22014,1.31,2,2014,2014-06-30
+MKC,McCormick & Company,Net Positivity,CQ22014,1.21,2,2014,2014-06-30
+PEP,PepsiCo,Net Positivity,CQ22014,1.48,2,2014,2014-06-30
+PG,Procter & Gamble,Net Positivity,CQ22014,1.49,2,2014,2014-06-30
+SYY,Sysco,Net Positivity,CQ22014,1.36,2,2014,2014-06-30
+WMT,Walmart,Net Positivity,CQ22014,2.0,2,2014,2014-06-30
+APA,APA Corporation,Net Positivity,CQ22014,0.72,2,2014,2014-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22014,,2,2014,2014-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22014,1.17,2,2014,2014-06-30
+EOG,EOG Resources,Net Positivity,CQ22014,1.27,2,2014,2014-06-30
+XOM,ExxonMobil,Net Positivity,CQ22014,1.19,2,2014,2014-06-30
+HAL,Halliburton,Net Positivity,CQ22014,0.79,2,2014,2014-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22014,0.64,2,2014,2014-06-30
+SLB,Schlumberger,Net Positivity,CQ22014,0.9,2,2014,2014-06-30
+VLO,Valero Energy,Net Positivity,CQ22014,0.45,2,2014,2014-06-30
+AFL,Aflac,Net Positivity,CQ22014,0.17,2,2014,2014-06-30
+ALL,Allstate,Net Positivity,CQ22014,0.65,2,2014,2014-06-30
+AXP,American Express,Net Positivity,CQ22014,0.6,2,2014,2014-06-30
+AIG,American International Group,Net Positivity,CQ22014,0.1,2,2014,2014-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22014,1.63,2,2014,2014-06-30
+AON,Aon plc,Net Positivity,CQ22014,1.47,2,2014,2014-06-30
+BK,BNY Mellon,Net Positivity,CQ22014,0.59,2,2014,2014-06-30
+BAC,Bank of America,Net Positivity,CQ22014,0.13,2,2014,2014-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22014,,2,2014,2014-06-30
+BLK,BlackRock,Net Positivity,CQ22014,0.93,2,2014,2014-06-30
+CME,CME Group,Net Positivity,CQ22014,-0.02,2,2014,2014-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22014,,2,2014,2014-06-30
+CB,Chubb Limited,Net Positivity,CQ22014,0.74,2,2014,2014-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22014,-0.25,2,2014,2014-06-30
+C,Citigroup,Net Positivity,CQ22014,0.17,2,2014,2014-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22014,1.9,2,2014,2014-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22014,0.14,2,2014,2014-06-30
+FISV,Fiserv,Net Positivity,CQ22014,1.55,2,2014,2014-06-30
+GS,Goldman Sachs,Net Positivity,CQ22014,0.6,2,2014,2014-06-30
+HIG,Hartford Financial,Net Positivity,CQ22014,0.96,2,2014,2014-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22014,0.69,2,2014,2014-06-30
+IVZ,Invesco,Net Positivity,CQ22014,1.43,2,2014,2014-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22014,0.55,2,2014,2014-06-30
+KEY,KeyCorp,Net Positivity,CQ22014,1.78,2,2014,2014-06-30
+MA,Mastercard,Net Positivity,CQ22014,0.19,2,2014,2014-06-30
+MET,MetLife,Net Positivity,CQ22014,0.51,2,2014,2014-06-30
+MS,Morgan Stanley,Net Positivity,CQ22014,1.01,2,2014,2014-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22014,1.06,2,2014,2014-06-30
+NTRS,Northern Trust,Net Positivity,CQ22014,0.77,2,2014,2014-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22014,0.68,2,2014,2014-06-30
+PRU,Prudential Financial,Net Positivity,CQ22014,0.64,2,2014,2014-06-30
+RF,Regions Financial,Net Positivity,CQ22014,0.93,2,2014,2014-06-30
+SPGI,S&P Global,Net Positivity,CQ22014,-0.32,2,2014,2014-06-30
+STT,State Street,Net Positivity,CQ22014,0.61,2,2014,2014-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22014,,2,2014,2014-06-30
+TRV,Travelers Companies,Net Positivity,CQ22014,0.85,2,2014,2014-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22014,0.37,2,2014,2014-06-30
+V,Visa,Net Positivity,CQ22014,0.65,2,2014,2014-06-30
+WFC,Wells Fargo,Net Positivity,CQ22014,1.26,2,2014,2014-06-30
+ABBV,AbbVie,Net Positivity,CQ22014,0.92,2,2014,2014-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22014,1.04,2,2014,2014-06-30
+A,Agilent Technologies,Net Positivity,CQ22014,0.7,2,2014,2014-06-30
+AMGN,Amgen,Net Positivity,CQ22014,0.83,2,2014,2014-06-30
+BAX,Baxter International,Net Positivity,CQ22014,1.2,2,2014,2014-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22014,0.88,2,2014,2014-06-30
+BIIB,Biogen,Net Positivity,CQ22014,0.48,2,2014,2014-06-30
+BSX,Boston Scientific,Net Positivity,CQ22014,1.61,2,2014,2014-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22014,1.34,2,2014,2014-06-30
+CVS,CVS Health,Net Positivity,CQ22014,1.41,2,2014,2014-06-30
+COR,Cencora,Net Positivity,CQ22014,,2,2014,2014-06-30
+CI,Cigna,Net Positivity,CQ22014,1.81,2,2014,2014-06-30
+DVA,DaVita,Net Positivity,CQ22014,0.24,2,2014,2014-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22014,1.56,2,2014,2014-06-30
+LLY,Eli Lilly,Net Positivity,CQ22014,0.56,2,2014,2014-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22014,0.39,2,2014,2014-06-30
+HUM,Humana,Net Positivity,CQ22014,0.89,2,2014,2014-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22014,0.32,2,2014,2014-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22014,0.56,2,2014,2014-06-30
+LH,Labcorp,Net Positivity,CQ22014,0.75,2,2014,2014-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22014,1.41,2,2014,2014-06-30
+MDT,Medtronic,Net Positivity,CQ22014,0.98,2,2014,2014-06-30
+MRK,Merck & Co.,Net Positivity,CQ22014,1.31,2,2014,2014-06-30
+PFE,Pfizer,Net Positivity,CQ22014,0.98,2,2014,2014-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22014,1.74,2,2014,2014-06-30
+WAT,Waters Corporation,Net Positivity,CQ22014,0.41,2,2014,2014-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22014,1.95,2,2014,2014-06-30
+MMM,3M,Net Positivity,CQ22014,1.34,2,2014,2014-06-30
+AME,Ametek,Net Positivity,CQ22014,1.86,2,2014,2014-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22014,1.2,2,2014,2014-06-30
+BA,Boeing,Net Positivity,CQ22014,1.94,2,2014,2014-06-30
+CSX,CSX Corporation,Net Positivity,CQ22014,0.28,2,2014,2014-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22014,0.55,2,2014,2014-06-30
+CTAS,Cintas,Net Positivity,CQ22014,,2,2014,2014-06-30
+CMI,Cummins,Net Positivity,CQ22014,0.14,2,2014,2014-06-30
+DE,Deere & Company,Net Positivity,CQ22014,0.3,2,2014,2014-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22014,0.66,2,2014,2014-06-30
+EMR,Emerson Electric,Net Positivity,CQ22014,0.26,2,2014,2014-06-30
+EFX,Equifax,Net Positivity,CQ22014,0.73,2,2014,2014-06-30
+EXPD,Expeditors International,Net Positivity,CQ22014,,2,2014,2014-06-30
+FDX,FedEx,Net Positivity,CQ22014,1.39,2,2014,2014-06-30
+GE,GE Aerospace,Net Positivity,CQ22014,0.99,2,2014,2014-06-30
+GD,General Dynamics,Net Positivity,CQ22014,0.61,2,2014,2014-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22014,1.26,2,2014,2014-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22014,0.91,2,2014,2014-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22014,0.56,2,2014,2014-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22014,1.34,2,2014,2014-06-30
+PCAR,Paccar,Net Positivity,CQ22014,1.89,2,2014,2014-06-30
+RTX,RTX Corporation,Net Positivity,CQ22014,0.66,2,2014,2014-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22014,0.87,2,2014,2014-06-30
+ROP,Roper Technologies,Net Positivity,CQ22014,0.77,2,2014,2014-06-30
+SNA,Snap-on,Net Positivity,CQ22014,1.14,2,2014,2014-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22014,1.28,2,2014,2014-06-30
+UPS,United Parcel Service,Net Positivity,CQ22014,1.4,2,2014,2014-06-30
+WM,Waste Management,Net Positivity,CQ22014,0.96,2,2014,2014-06-30
+ACN,Accenture,Net Positivity,CQ22014,2.04,2,2014,2014-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22014,2.48,2,2014,2014-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22014,0.97,2,2014,2014-06-30
+APH,Amphenol,Net Positivity,CQ22014,2.05,2,2014,2014-06-30
+ADI,Analog Devices,Net Positivity,CQ22014,1.33,2,2014,2014-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22014,1.69,2,2014,2014-06-30
+AMAT,Applied Materials,Net Positivity,CQ22014,2.31,2,2014,2014-06-30
+ADSK,Autodesk,Net Positivity,CQ22014,1.2,2,2014,2014-06-30
+AVGO,Broadcom,Net Positivity,CQ22014,0.69,2,2014,2014-06-30
+CSCO,Cisco,Net Positivity,CQ22014,0.89,2,2014,2014-06-30
+CTSH,Cognizant,Net Positivity,CQ22014,1.08,2,2014,2014-06-30
+HPQ,HP Inc.,Net Positivity,CQ22014,2.02,2,2014,2014-06-30
+IBM,IBM,Net Positivity,CQ22014,0.3,2,2014,2014-06-30
+INTC,Intel,Net Positivity,CQ22014,0.82,2,2014,2014-06-30
+INTU,Intuit,Net Positivity,CQ22014,1.19,2,2014,2014-06-30
+LRCX,Lam Research,Net Positivity,CQ22014,1.18,2,2014,2014-06-30
+MU,Micron Technology,Net Positivity,CQ22014,1.32,2,2014,2014-06-30
+MSFT,Microsoft,Net Positivity,CQ22014,1.61,2,2014,2014-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22014,0.32,2,2014,2014-06-30
+NTAP,NetApp,Net Positivity,CQ22014,0.45,2,2014,2014-06-30
+NVDA,Nvidia,Net Positivity,CQ22014,0.88,2,2014,2014-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22014,0.64,2,2014,2014-06-30
+TXN,Texas Instruments,Net Positivity,CQ22014,0.29,2,2014,2014-06-30
+APD,Air Products,Net Positivity,CQ22014,0.39,2,2014,2014-06-30
+AVY,Avery Dennison,Net Positivity,CQ22014,0.58,2,2014,2014-06-30
+ECL,Ecolab,Net Positivity,CQ22014,2.09,2,2014,2014-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22014,3.02,2,2014,2014-06-30
+IP,International Paper,Net Positivity,CQ22014,0.4,2,2014,2014-06-30
+LIN,Linde plc,Net Positivity,CQ22014,0.47,2,2014,2014-06-30
+NEM,Newmont,Net Positivity,CQ22014,1.29,2,2014,2014-06-30
+NUE,Nucor,Net Positivity,CQ22014,0.87,2,2014,2014-06-30
+AMT,American Tower,Net Positivity,CQ22014,0.96,2,2014,2014-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22014,0.05,2,2014,2014-06-30
+EQR,Equity Residential,Net Positivity,CQ22014,1.01,2,2014,2014-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22014,0.98,2,2014,2014-06-30
+IRM,Iron Mountain,Net Positivity,CQ22014,1.42,2,2014,2014-06-30
+PLD,Prologis,Net Positivity,CQ22014,0.99,2,2014,2014-06-30
+VTR,Ventas,Net Positivity,CQ22014,1.53,2,2014,2014-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22014,1.13,2,2014,2014-06-30
+AES,AES Corporation,Net Positivity,CQ22014,0.19,2,2014,2014-06-30
+AEE,Ameren,Net Positivity,CQ22014,0.52,2,2014,2014-06-30
+AEP,American Electric Power,Net Positivity,CQ22014,0.88,2,2014,2014-06-30
+CMS,CMS Energy,Net Positivity,CQ22014,1.27,2,2014,2014-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22014,1.43,2,2014,2014-06-30
+DUK,Duke Energy,Net Positivity,CQ22014,0.91,2,2014,2014-06-30
+EIX,Edison International,Net Positivity,CQ22014,0.4,2,2014,2014-06-30
+ETR,Entergy,Net Positivity,CQ22014,0.41,2,2014,2014-06-30
+EXC,Exelon,Net Positivity,CQ22014,1.16,2,2014,2014-06-30
+NEE,NextEra Energy,Net Positivity,CQ22014,0.6,2,2014,2014-06-30
+SO,Southern Company,Net Positivity,CQ22014,0.31,2,2014,2014-06-30
+XEL,Xcel Energy,Net Positivity,CQ22014,1.1,2,2014,2014-06-30
+T,AT&T,Numeric Transeprency,CQ22014,2.35,2,2014,2014-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22014,1.31,2,2014,2014-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22014,,2,2014,2014-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22014,1.57,2,2014,2014-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22014,1.09,2,2014,2014-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22014,2.68,2,2014,2014-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22014,2.1,2,2014,2014-06-30
+VZ,Verizon,Numeric Transeprency,CQ22014,2.59,2,2014,2014-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22014,2.39,2,2014,2014-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22014,1.73,2,2014,2014-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22014,1.44,2,2014,2014-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22014,1.24,2,2014,2014-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22014,2.16,2,2014,2014-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22014,2.48,2,2014,2014-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22014,2.92,2,2014,2014-06-30
+GM,General Motors,Numeric Transeprency,CQ22014,3.28,2,2014,2014-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22014,3.2,2,2014,2014-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22014,1.88,2,2014,2014-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22014,2.09,2,2014,2014-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22014,1.38,2,2014,2014-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22014,2.09,2,2014,2014-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22014,2.07,2,2014,2014-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22014,1.83,2,2014,2014-06-30
+TGT,Target,Numeric Transeprency,CQ22014,1.35,2,2014,2014-06-30
+MO,Altria,Numeric Transeprency,CQ22014,1.83,2,2014,2014-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22014,1.76,2,2014,2014-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22014,2.31,2,2014,2014-06-30
+CLX,Clorox,Numeric Transeprency,CQ22014,2.35,2,2014,2014-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22014,1.73,2,2014,2014-06-30
+COST,Costco,Numeric Transeprency,CQ22014,4.33,2,2014,2014-06-30
+GIS,General Mills,Numeric Transeprency,CQ22014,2.69,2,2014,2014-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22014,2.23,2,2014,2014-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22014,1.41,2,2014,2014-06-30
+KR,Kroger,Numeric Transeprency,CQ22014,1.63,2,2014,2014-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22014,2.53,2,2014,2014-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22014,2.68,2,2014,2014-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22014,2.2,2,2014,2014-06-30
+SYY,Sysco,Numeric Transeprency,CQ22014,1.66,2,2014,2014-06-30
+WMT,Walmart,Numeric Transeprency,CQ22014,2.37,2,2014,2014-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22014,2.11,2,2014,2014-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22014,,2,2014,2014-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22014,2.31,2,2014,2014-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22014,3.08,2,2014,2014-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22014,2.2,2,2014,2014-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22014,1.46,2,2014,2014-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22014,3.3,2,2014,2014-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22014,2.01,2,2014,2014-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22014,1.94,2,2014,2014-06-30
+AFL,Aflac,Numeric Transeprency,CQ22014,2.35,2,2014,2014-06-30
+ALL,Allstate,Numeric Transeprency,CQ22014,2.19,2,2014,2014-06-30
+AXP,American Express,Numeric Transeprency,CQ22014,1.49,2,2014,2014-06-30
+AIG,American International Group,Numeric Transeprency,CQ22014,2.11,2,2014,2014-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22014,3.17,2,2014,2014-06-30
+AON,Aon plc,Numeric Transeprency,CQ22014,2.28,2,2014,2014-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22014,1.94,2,2014,2014-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22014,3.38,2,2014,2014-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22014,,2,2014,2014-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22014,1.56,2,2014,2014-06-30
+CME,CME Group,Numeric Transeprency,CQ22014,1.93,2,2014,2014-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22014,,2,2014,2014-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22014,2.33,2,2014,2014-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22014,2.14,2,2014,2014-06-30
+C,Citigroup,Numeric Transeprency,CQ22014,2.18,2,2014,2014-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22014,2.16,2,2014,2014-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22014,3.21,2,2014,2014-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22014,1.91,2,2014,2014-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22014,2.09,2,2014,2014-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22014,3.52,2,2014,2014-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22014,1.8,2,2014,2014-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22014,2.3,2,2014,2014-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22014,2.66,2,2014,2014-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22014,2.4,2,2014,2014-06-30
+MA,Mastercard,Numeric Transeprency,CQ22014,1.97,2,2014,2014-06-30
+MET,MetLife,Numeric Transeprency,CQ22014,2.57,2,2014,2014-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22014,2.44,2,2014,2014-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22014,2.24,2,2014,2014-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22014,2.66,2,2014,2014-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22014,2.06,2,2014,2014-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22014,2.4,2,2014,2014-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22014,1.71,2,2014,2014-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22014,2.1,2,2014,2014-06-30
+STT,State Street,Numeric Transeprency,CQ22014,3.25,2,2014,2014-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22014,,2,2014,2014-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22014,1.9,2,2014,2014-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22014,2.71,2,2014,2014-06-30
+V,Visa,Numeric Transeprency,CQ22014,2.09,2,2014,2014-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22014,2.15,2,2014,2014-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22014,1.79,2,2014,2014-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22014,1.11,2,2014,2014-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22014,1.9,2,2014,2014-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22014,1.95,2,2014,2014-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22014,3.15,2,2014,2014-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22014,2.65,2,2014,2014-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22014,1.74,2,2014,2014-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22014,3.24,2,2014,2014-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22014,1.51,2,2014,2014-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22014,2.01,2,2014,2014-06-30
+COR,Cencora,Numeric Transeprency,CQ22014,,2,2014,2014-06-30
+CI,Cigna,Numeric Transeprency,CQ22014,2.2,2,2014,2014-06-30
+DVA,DaVita,Numeric Transeprency,CQ22014,2.18,2,2014,2014-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22014,1.96,2,2014,2014-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22014,1.94,2,2014,2014-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22014,2.0,2,2014,2014-06-30
+HUM,Humana,Numeric Transeprency,CQ22014,2.12,2,2014,2014-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22014,2.64,2,2014,2014-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22014,2.49,2,2014,2014-06-30
+LH,Labcorp,Numeric Transeprency,CQ22014,1.34,2,2014,2014-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22014,3.17,2,2014,2014-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22014,2.77,2,2014,2014-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22014,1.26,2,2014,2014-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22014,2.07,2,2014,2014-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22014,2.39,2,2014,2014-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22014,1.49,2,2014,2014-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22014,2.19,2,2014,2014-06-30
+MMM,3M,Numeric Transeprency,CQ22014,3.15,2,2014,2014-06-30
+AME,Ametek,Numeric Transeprency,CQ22014,3.12,2,2014,2014-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22014,1.44,2,2014,2014-06-30
+BA,Boeing,Numeric Transeprency,CQ22014,2.38,2,2014,2014-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22014,2.23,2,2014,2014-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22014,2.02,2,2014,2014-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22014,,2,2014,2014-06-30
+CMI,Cummins,Numeric Transeprency,CQ22014,2.83,2,2014,2014-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22014,2.6,2,2014,2014-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22014,2.91,2,2014,2014-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22014,2.42,2,2014,2014-06-30
+EFX,Equifax,Numeric Transeprency,CQ22014,2.61,2,2014,2014-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22014,,2,2014,2014-06-30
+FDX,FedEx,Numeric Transeprency,CQ22014,2.12,2,2014,2014-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22014,5.02,2,2014,2014-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22014,2.48,2,2014,2014-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22014,3.27,2,2014,2014-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22014,2.4,2,2014,2014-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22014,2.3,2,2014,2014-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22014,1.93,2,2014,2014-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22014,2.88,2,2014,2014-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22014,2.67,2,2014,2014-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22014,2.35,2,2014,2014-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22014,2.96,2,2014,2014-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22014,3.34,2,2014,2014-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22014,2.31,2,2014,2014-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22014,1.65,2,2014,2014-06-30
+WM,Waste Management,Numeric Transeprency,CQ22014,2.24,2,2014,2014-06-30
+ACN,Accenture,Numeric Transeprency,CQ22014,2.61,2,2014,2014-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22014,2.11,2,2014,2014-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22014,1.77,2,2014,2014-06-30
+APH,Amphenol,Numeric Transeprency,CQ22014,1.77,2,2014,2014-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22014,2.02,2,2014,2014-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22014,2.74,2,2014,2014-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22014,2.52,2,2014,2014-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22014,0.9,2,2014,2014-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22014,2.44,2,2014,2014-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22014,2.57,2,2014,2014-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22014,1.91,2,2014,2014-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22014,2.73,2,2014,2014-06-30
+IBM,IBM,Numeric Transeprency,CQ22014,2.53,2,2014,2014-06-30
+INTC,Intel,Numeric Transeprency,CQ22014,2.02,2,2014,2014-06-30
+INTU,Intuit,Numeric Transeprency,CQ22014,1.46,2,2014,2014-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22014,2.07,2,2014,2014-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22014,1.81,2,2014,2014-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22014,1.16,2,2014,2014-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22014,2.76,2,2014,2014-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22014,1.84,2,2014,2014-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22014,2.13,2,2014,2014-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22014,3.09,2,2014,2014-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22014,2.1,2,2014,2014-06-30
+APD,Air Products,Numeric Transeprency,CQ22014,2.34,2,2014,2014-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22014,1.82,2,2014,2014-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22014,2.12,2,2014,2014-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22014,2.73,2,2014,2014-06-30
+IP,International Paper,Numeric Transeprency,CQ22014,1.98,2,2014,2014-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22014,2.07,2,2014,2014-06-30
+NEM,Newmont,Numeric Transeprency,CQ22014,3.2,2,2014,2014-06-30
+NUE,Nucor,Numeric Transeprency,CQ22014,1.61,2,2014,2014-06-30
+AMT,American Tower,Numeric Transeprency,CQ22014,3.6,2,2014,2014-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22014,2.58,2,2014,2014-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22014,2.79,2,2014,2014-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22014,3.65,2,2014,2014-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22014,2.32,2,2014,2014-06-30
+PLD,Prologis,Numeric Transeprency,CQ22014,3.08,2,2014,2014-06-30
+VTR,Ventas,Numeric Transeprency,CQ22014,2.89,2,2014,2014-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22014,1.64,2,2014,2014-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22014,3.49,2,2014,2014-06-30
+AEE,Ameren,Numeric Transeprency,CQ22014,2.27,2,2014,2014-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22014,2.49,2,2014,2014-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22014,2.16,2,2014,2014-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22014,2.98,2,2014,2014-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22014,2.22,2,2014,2014-06-30
+EIX,Edison International,Numeric Transeprency,CQ22014,2.67,2,2014,2014-06-30
+ETR,Entergy,Numeric Transeprency,CQ22014,2.69,2,2014,2014-06-30
+EXC,Exelon,Numeric Transeprency,CQ22014,1.65,2,2014,2014-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22014,2.62,2,2014,2014-06-30
+SO,Southern Company,Numeric Transeprency,CQ22014,2.28,2,2014,2014-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22014,2.83,2,2014,2014-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22014,23.33,2,2014,2014-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22014,30.23,2,2014,2014-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22014,,2,2014,2014-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22014,29.79,2,2014,2014-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22014,3.03,2,2014,2014-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22014,50.0,2,2014,2014-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22014,35.29,2,2014,2014-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22014,27.59,2,2014,2014-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22014,34.09,2,2014,2014-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22014,45.45,2,2014,2014-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22014,29.63,2,2014,2014-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22014,44.0,2,2014,2014-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22014,21.43,2,2014,2014-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22014,14.81,2,2014,2014-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22014,40.0,2,2014,2014-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22014,50.0,2,2014,2014-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22014,69.23,2,2014,2014-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22014,83.33,2,2014,2014-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22014,28.57,2,2014,2014-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22014,42.86,2,2014,2014-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22014,22.58,2,2014,2014-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22014,44.12,2,2014,2014-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22014,33.33,2,2014,2014-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22014,20.69,2,2014,2014-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22014,54.55,2,2014,2014-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22014,75.0,2,2014,2014-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22014,21.43,2,2014,2014-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22014,44.44,2,2014,2014-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22014,20.83,2,2014,2014-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22014,34.48,2,2014,2014-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22014,44.44,2,2014,2014-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22014,58.82,2,2014,2014-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22014,29.41,2,2014,2014-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22014,52.17,2,2014,2014-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22014,58.33,2,2014,2014-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22014,38.1,2,2014,2014-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22014,53.57,2,2014,2014-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22014,61.54,2,2014,2014-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22014,0.0,2,2014,2014-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22014,23.53,2,2014,2014-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22014,,2,2014,2014-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22014,24.24,2,2014,2014-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22014,22.86,2,2014,2014-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22014,43.48,2,2014,2014-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22014,29.41,2,2014,2014-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22014,24.0,2,2014,2014-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22014,25.71,2,2014,2014-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22014,61.11,2,2014,2014-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22014,47.37,2,2014,2014-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22014,34.62,2,2014,2014-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22014,34.48,2,2014,2014-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22014,34.78,2,2014,2014-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22014,30.0,2,2014,2014-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22014,35.0,2,2014,2014-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22014,40.0,2,2014,2014-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22014,25.0,2,2014,2014-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22014,,2,2014,2014-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22014,35.0,2,2014,2014-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22014,46.67,2,2014,2014-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22014,,2,2014,2014-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22014,20.0,2,2014,2014-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22014,50.0,2,2014,2014-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22014,48.28,2,2014,2014-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22014,37.5,2,2014,2014-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22014,13.33,2,2014,2014-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22014,42.11,2,2014,2014-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22014,36.0,2,2014,2014-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22014,47.37,2,2014,2014-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22014,50.0,2,2014,2014-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22014,47.62,2,2014,2014-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22014,32.26,2,2014,2014-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22014,34.48,2,2014,2014-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22014,37.5,2,2014,2014-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22014,35.0,2,2014,2014-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22014,30.77,2,2014,2014-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22014,41.67,2,2014,2014-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22014,42.11,2,2014,2014-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22014,37.04,2,2014,2014-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22014,35.0,2,2014,2014-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22014,46.67,2,2014,2014-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22014,75.0,2,2014,2014-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22014,45.0,2,2014,2014-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22014,,2,2014,2014-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22014,34.62,2,2014,2014-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22014,23.33,2,2014,2014-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22014,31.25,2,2014,2014-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22014,32.26,2,2014,2014-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22014,61.54,2,2014,2014-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22014,26.92,2,2014,2014-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22014,50.0,2,2014,2014-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22014,62.96,2,2014,2014-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22014,47.37,2,2014,2014-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22014,55.0,2,2014,2014-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22014,36.67,2,2014,2014-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22014,33.33,2,2014,2014-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22014,28.57,2,2014,2014-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22014,60.71,2,2014,2014-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22014,,2,2014,2014-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22014,33.33,2,2014,2014-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22014,58.82,2,2014,2014-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22014,30.43,2,2014,2014-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22014,57.89,2,2014,2014-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22014,57.14,2,2014,2014-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22014,58.33,2,2014,2014-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22014,20.0,2,2014,2014-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22014,68.18,2,2014,2014-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22014,52.0,2,2014,2014-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22014,47.37,2,2014,2014-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22014,28.57,2,2014,2014-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22014,38.1,2,2014,2014-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22014,44.44,2,2014,2014-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22014,66.67,2,2014,2014-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22014,58.82,2,2014,2014-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22014,25.81,2,2014,2014-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22014,47.37,2,2014,2014-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22014,42.86,2,2014,2014-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22014,34.78,2,2014,2014-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22014,35.71,2,2014,2014-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22014,60.71,2,2014,2014-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22014,42.31,2,2014,2014-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22014,,2,2014,2014-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22014,29.63,2,2014,2014-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22014,39.13,2,2014,2014-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22014,33.33,2,2014,2014-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22014,33.33,2,2014,2014-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22014,33.33,2,2014,2014-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22014,,2,2014,2014-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22014,53.33,2,2014,2014-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22014,35.29,2,2014,2014-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22014,61.9,2,2014,2014-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22014,55.0,2,2014,2014-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22014,41.67,2,2014,2014-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22014,59.26,2,2014,2014-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22014,43.48,2,2014,2014-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22014,40.74,2,2014,2014-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22014,52.17,2,2014,2014-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22014,52.38,2,2014,2014-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22014,45.45,2,2014,2014-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22014,60.0,2,2014,2014-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22014,47.06,2,2014,2014-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22014,65.52,2,2014,2014-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22014,57.14,2,2014,2014-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22014,43.48,2,2014,2014-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22014,55.0,2,2014,2014-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22014,55.0,2,2014,2014-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22014,76.92,2,2014,2014-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22014,48.28,2,2014,2014-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22014,9.43,2,2014,2014-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22014,58.33,2,2014,2014-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22014,78.95,2,2014,2014-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22014,23.08,2,2014,2014-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22014,26.19,2,2014,2014-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22014,50.0,2,2014,2014-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22014,29.41,2,2014,2014-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22014,31.25,2,2014,2014-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22014,24.44,2,2014,2014-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22014,57.89,2,2014,2014-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22014,52.63,2,2014,2014-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22014,28.13,2,2014,2014-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22014,25.81,2,2014,2014-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22014,30.0,2,2014,2014-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22014,34.29,2,2014,2014-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22014,35.29,2,2014,2014-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22014,19.51,2,2014,2014-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22014,26.32,2,2014,2014-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22014,52.17,2,2014,2014-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22014,55.56,2,2014,2014-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22014,65.0,2,2014,2014-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22014,36.36,2,2014,2014-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22014,64.71,2,2014,2014-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22014,42.86,2,2014,2014-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22014,22.73,2,2014,2014-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22014,45.45,2,2014,2014-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22014,35.29,2,2014,2014-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22014,16.67,2,2014,2014-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22014,75.0,2,2014,2014-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22014,50.0,2,2014,2014-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22014,27.27,2,2014,2014-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22014,42.86,2,2014,2014-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22014,20.0,2,2014,2014-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22014,66.67,2,2014,2014-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22014,50.0,2,2014,2014-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22014,36.36,2,2014,2014-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22014,40.91,2,2014,2014-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22014,40.0,2,2014,2014-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22014,25.0,2,2014,2014-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22014,36.36,2,2014,2014-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22014,38.1,2,2014,2014-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22014,29.41,2,2014,2014-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22014,33.33,2,2014,2014-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22014,25.0,2,2014,2014-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22014,40.91,2,2014,2014-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22014,5.56,2,2014,2014-06-30
+T,AT&T,Language Complexity,CQ22014,11.26,2,2014,2014-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22014,11.9,2,2014,2014-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22014,,2,2014,2014-06-30
+META,Meta Platforms,Language Complexity,CQ22014,13.19,2,2014,2014-06-30
+NFLX,Netflix,Language Complexity,CQ22014,11.29,2,2014,2014-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22014,14.53,2,2014,2014-06-30
+OMC,Omnicom Group,Language Complexity,CQ22014,13.98,2,2014,2014-06-30
+VZ,Verizon,Language Complexity,CQ22014,12.34,2,2014,2014-06-30
+AMZN,Amazon,Language Complexity,CQ22014,11.2,2,2014,2014-06-30
+AZO,AutoZone,Language Complexity,CQ22014,12.39,2,2014,2014-06-30
+BBY,Best Buy,Language Complexity,CQ22014,14.97,2,2014,2014-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22014,11.48,2,2014,2014-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22014,12.75,2,2014,2014-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22014,13.5,2,2014,2014-06-30
+F,Ford Motor Company,Language Complexity,CQ22014,11.51,2,2014,2014-06-30
+GM,General Motors,Language Complexity,CQ22014,11.98,2,2014,2014-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22014,12.44,2,2014,2014-06-30
+HAS,Hasbro,Language Complexity,CQ22014,10.7,2,2014,2014-06-30
+LOW,Lowe's,Language Complexity,CQ22014,12.79,2,2014,2014-06-30
+MCD,McDonald's,Language Complexity,CQ22014,13.52,2,2014,2014-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22014,13.65,2,2014,2014-06-30
+ROST,Ross Stores,Language Complexity,CQ22014,10.86,2,2014,2014-06-30
+TJX,TJX Companies,Language Complexity,CQ22014,10.85,2,2014,2014-06-30
+TGT,Target,Language Complexity,CQ22014,14.19,2,2014,2014-06-30
+MO,Altria,Language Complexity,CQ22014,11.63,2,2014,2014-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22014,11.18,2,2014,2014-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22014,13.83,2,2014,2014-06-30
+CLX,Clorox,Language Complexity,CQ22014,12.12,2,2014,2014-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22014,13.87,2,2014,2014-06-30
+COST,Costco,Language Complexity,CQ22014,10.29,2,2014,2014-06-30
+GIS,General Mills,Language Complexity,CQ22014,11.15,2,2014,2014-06-30
+HSY,Hershey Company,Language Complexity,CQ22014,12.13,2,2014,2014-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22014,10.69,2,2014,2014-06-30
+KR,Kroger,Language Complexity,CQ22014,11.64,2,2014,2014-06-30
+MKC,McCormick & Company,Language Complexity,CQ22014,12.12,2,2014,2014-06-30
+PEP,PepsiCo,Language Complexity,CQ22014,13.23,2,2014,2014-06-30
+PG,Procter & Gamble,Language Complexity,CQ22014,12.71,2,2014,2014-06-30
+SYY,Sysco,Language Complexity,CQ22014,12.14,2,2014,2014-06-30
+WMT,Walmart,Language Complexity,CQ22014,15.95,2,2014,2014-06-30
+APA,APA Corporation,Language Complexity,CQ22014,11.84,2,2014,2014-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22014,,2,2014,2014-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22014,11.84,2,2014,2014-06-30
+EOG,EOG Resources,Language Complexity,CQ22014,10.72,2,2014,2014-06-30
+XOM,ExxonMobil,Language Complexity,CQ22014,11.87,2,2014,2014-06-30
+HAL,Halliburton,Language Complexity,CQ22014,12.56,2,2014,2014-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22014,12.35,2,2014,2014-06-30
+SLB,Schlumberger,Language Complexity,CQ22014,12.68,2,2014,2014-06-30
+VLO,Valero Energy,Language Complexity,CQ22014,10.74,2,2014,2014-06-30
+AFL,Aflac,Language Complexity,CQ22014,10.84,2,2014,2014-06-30
+ALL,Allstate,Language Complexity,CQ22014,12.03,2,2014,2014-06-30
+AXP,American Express,Language Complexity,CQ22014,13.7,2,2014,2014-06-30
+AIG,American International Group,Language Complexity,CQ22014,13.6,2,2014,2014-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22014,11.2,2,2014,2014-06-30
+AON,Aon plc,Language Complexity,CQ22014,13.73,2,2014,2014-06-30
+BK,BNY Mellon,Language Complexity,CQ22014,11.33,2,2014,2014-06-30
+BAC,Bank of America,Language Complexity,CQ22014,12.25,2,2014,2014-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22014,,2,2014,2014-06-30
+BLK,BlackRock,Language Complexity,CQ22014,13.84,2,2014,2014-06-30
+CME,CME Group,Language Complexity,CQ22014,12.6,2,2014,2014-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22014,,2,2014,2014-06-30
+CB,Chubb Limited,Language Complexity,CQ22014,11.08,2,2014,2014-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22014,14.13,2,2014,2014-06-30
+C,Citigroup,Language Complexity,CQ22014,12.09,2,2014,2014-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22014,10.76,2,2014,2014-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22014,12.57,2,2014,2014-06-30
+FISV,Fiserv,Language Complexity,CQ22014,11.5,2,2014,2014-06-30
+GS,Goldman Sachs,Language Complexity,CQ22014,11.93,2,2014,2014-06-30
+HIG,Hartford Financial,Language Complexity,CQ22014,12.91,2,2014,2014-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22014,13.44,2,2014,2014-06-30
+IVZ,Invesco,Language Complexity,CQ22014,10.75,2,2014,2014-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22014,11.08,2,2014,2014-06-30
+KEY,KeyCorp,Language Complexity,CQ22014,12.62,2,2014,2014-06-30
+MA,Mastercard,Language Complexity,CQ22014,12.09,2,2014,2014-06-30
+MET,MetLife,Language Complexity,CQ22014,13.17,2,2014,2014-06-30
+MS,Morgan Stanley,Language Complexity,CQ22014,11.59,2,2014,2014-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22014,12.96,2,2014,2014-06-30
+NTRS,Northern Trust,Language Complexity,CQ22014,13.06,2,2014,2014-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22014,11.96,2,2014,2014-06-30
+PRU,Prudential Financial,Language Complexity,CQ22014,13.71,2,2014,2014-06-30
+RF,Regions Financial,Language Complexity,CQ22014,11.81,2,2014,2014-06-30
+SPGI,S&P Global,Language Complexity,CQ22014,12.39,2,2014,2014-06-30
+STT,State Street,Language Complexity,CQ22014,12.24,2,2014,2014-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22014,,2,2014,2014-06-30
+TRV,Travelers Companies,Language Complexity,CQ22014,12.83,2,2014,2014-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22014,11.3,2,2014,2014-06-30
+V,Visa,Language Complexity,CQ22014,12.29,2,2014,2014-06-30
+WFC,Wells Fargo,Language Complexity,CQ22014,11.53,2,2014,2014-06-30
+ABBV,AbbVie,Language Complexity,CQ22014,13.26,2,2014,2014-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22014,12.04,2,2014,2014-06-30
+A,Agilent Technologies,Language Complexity,CQ22014,11.64,2,2014,2014-06-30
+AMGN,Amgen,Language Complexity,CQ22014,11.68,2,2014,2014-06-30
+BAX,Baxter International,Language Complexity,CQ22014,11.97,2,2014,2014-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22014,10.3,2,2014,2014-06-30
+BIIB,Biogen,Language Complexity,CQ22014,12.55,2,2014,2014-06-30
+BSX,Boston Scientific,Language Complexity,CQ22014,13.37,2,2014,2014-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22014,12.98,2,2014,2014-06-30
+CVS,CVS Health,Language Complexity,CQ22014,12.21,2,2014,2014-06-30
+COR,Cencora,Language Complexity,CQ22014,,2,2014,2014-06-30
+CI,Cigna,Language Complexity,CQ22014,14.64,2,2014,2014-06-30
+DVA,DaVita,Language Complexity,CQ22014,11.69,2,2014,2014-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22014,11.76,2,2014,2014-06-30
+LLY,Eli Lilly,Language Complexity,CQ22014,11.98,2,2014,2014-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22014,11.64,2,2014,2014-06-30
+HUM,Humana,Language Complexity,CQ22014,13.19,2,2014,2014-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22014,14.95,2,2014,2014-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22014,12.28,2,2014,2014-06-30
+LH,Labcorp,Language Complexity,CQ22014,12.66,2,2014,2014-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22014,14.44,2,2014,2014-06-30
+MDT,Medtronic,Language Complexity,CQ22014,13.64,2,2014,2014-06-30
+MRK,Merck & Co.,Language Complexity,CQ22014,12.47,2,2014,2014-06-30
+PFE,Pfizer,Language Complexity,CQ22014,14.62,2,2014,2014-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22014,13.53,2,2014,2014-06-30
+WAT,Waters Corporation,Language Complexity,CQ22014,12.65,2,2014,2014-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22014,15.49,2,2014,2014-06-30
+MMM,3M,Language Complexity,CQ22014,12.15,2,2014,2014-06-30
+AME,Ametek,Language Complexity,CQ22014,11.92,2,2014,2014-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22014,14.12,2,2014,2014-06-30
+BA,Boeing,Language Complexity,CQ22014,12.7,2,2014,2014-06-30
+CSX,CSX Corporation,Language Complexity,CQ22014,11.8,2,2014,2014-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22014,10.56,2,2014,2014-06-30
+CTAS,Cintas,Language Complexity,CQ22014,,2,2014,2014-06-30
+CMI,Cummins,Language Complexity,CQ22014,10.89,2,2014,2014-06-30
+DE,Deere & Company,Language Complexity,CQ22014,10.71,2,2014,2014-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22014,10.75,2,2014,2014-06-30
+EMR,Emerson Electric,Language Complexity,CQ22014,11.06,2,2014,2014-06-30
+EFX,Equifax,Language Complexity,CQ22014,11.89,2,2014,2014-06-30
+EXPD,Expeditors International,Language Complexity,CQ22014,,2,2014,2014-06-30
+FDX,FedEx,Language Complexity,CQ22014,11.49,2,2014,2014-06-30
+GE,GE Aerospace,Language Complexity,CQ22014,11.21,2,2014,2014-06-30
+GD,General Dynamics,Language Complexity,CQ22014,10.73,2,2014,2014-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22014,11.21,2,2014,2014-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22014,13.39,2,2014,2014-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22014,11.97,2,2014,2014-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22014,13.0,2,2014,2014-06-30
+PCAR,Paccar,Language Complexity,CQ22014,12.74,2,2014,2014-06-30
+RTX,RTX Corporation,Language Complexity,CQ22014,10.3,2,2014,2014-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22014,10.7,2,2014,2014-06-30
+ROP,Roper Technologies,Language Complexity,CQ22014,10.41,2,2014,2014-06-30
+SNA,Snap-on,Language Complexity,CQ22014,11.96,2,2014,2014-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22014,13.03,2,2014,2014-06-30
+UPS,United Parcel Service,Language Complexity,CQ22014,11.72,2,2014,2014-06-30
+WM,Waste Management,Language Complexity,CQ22014,10.58,2,2014,2014-06-30
+ACN,Accenture,Language Complexity,CQ22014,12.79,2,2014,2014-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22014,14.24,2,2014,2014-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22014,12.6,2,2014,2014-06-30
+APH,Amphenol,Language Complexity,CQ22014,13.52,2,2014,2014-06-30
+ADI,Analog Devices,Language Complexity,CQ22014,12.92,2,2014,2014-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22014,11.9,2,2014,2014-06-30
+AMAT,Applied Materials,Language Complexity,CQ22014,10.84,2,2014,2014-06-30
+ADSK,Autodesk,Language Complexity,CQ22014,11.4,2,2014,2014-06-30
+AVGO,Broadcom,Language Complexity,CQ22014,11.95,2,2014,2014-06-30
+CSCO,Cisco,Language Complexity,CQ22014,11.52,2,2014,2014-06-30
+CTSH,Cognizant,Language Complexity,CQ22014,12.81,2,2014,2014-06-30
+HPQ,HP Inc.,Language Complexity,CQ22014,13.55,2,2014,2014-06-30
+IBM,IBM,Language Complexity,CQ22014,10.95,2,2014,2014-06-30
+INTC,Intel,Language Complexity,CQ22014,10.13,2,2014,2014-06-30
+INTU,Intuit,Language Complexity,CQ22014,11.41,2,2014,2014-06-30
+LRCX,Lam Research,Language Complexity,CQ22014,12.8,2,2014,2014-06-30
+MU,Micron Technology,Language Complexity,CQ22014,12.97,2,2014,2014-06-30
+MSFT,Microsoft,Language Complexity,CQ22014,12.51,2,2014,2014-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22014,12.3,2,2014,2014-06-30
+NTAP,NetApp,Language Complexity,CQ22014,12.63,2,2014,2014-06-30
+NVDA,Nvidia,Language Complexity,CQ22014,11.61,2,2014,2014-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22014,11.37,2,2014,2014-06-30
+TXN,Texas Instruments,Language Complexity,CQ22014,11.9,2,2014,2014-06-30
+APD,Air Products,Language Complexity,CQ22014,12.93,2,2014,2014-06-30
+AVY,Avery Dennison,Language Complexity,CQ22014,10.69,2,2014,2014-06-30
+ECL,Ecolab,Language Complexity,CQ22014,11.31,2,2014,2014-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22014,14.36,2,2014,2014-06-30
+IP,International Paper,Language Complexity,CQ22014,11.09,2,2014,2014-06-30
+LIN,Linde plc,Language Complexity,CQ22014,11.88,2,2014,2014-06-30
+NEM,Newmont,Language Complexity,CQ22014,11.56,2,2014,2014-06-30
+NUE,Nucor,Language Complexity,CQ22014,11.12,2,2014,2014-06-30
+AMT,American Tower,Language Complexity,CQ22014,14.99,2,2014,2014-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22014,11.92,2,2014,2014-06-30
+EQR,Equity Residential,Language Complexity,CQ22014,11.43,2,2014,2014-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22014,12.44,2,2014,2014-06-30
+IRM,Iron Mountain,Language Complexity,CQ22014,14.68,2,2014,2014-06-30
+PLD,Prologis,Language Complexity,CQ22014,10.88,2,2014,2014-06-30
+VTR,Ventas,Language Complexity,CQ22014,12.26,2,2014,2014-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22014,12.02,2,2014,2014-06-30
+AES,AES Corporation,Language Complexity,CQ22014,11.53,2,2014,2014-06-30
+AEE,Ameren,Language Complexity,CQ22014,14.03,2,2014,2014-06-30
+AEP,American Electric Power,Language Complexity,CQ22014,13.34,2,2014,2014-06-30
+CMS,CMS Energy,Language Complexity,CQ22014,10.19,2,2014,2014-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22014,13.21,2,2014,2014-06-30
+DUK,Duke Energy,Language Complexity,CQ22014,12.91,2,2014,2014-06-30
+EIX,Edison International,Language Complexity,CQ22014,12.76,2,2014,2014-06-30
+ETR,Entergy,Language Complexity,CQ22014,13.09,2,2014,2014-06-30
+EXC,Exelon,Language Complexity,CQ22014,13.45,2,2014,2014-06-30
+NEE,NextEra Energy,Language Complexity,CQ22014,14.3,2,2014,2014-06-30
+SO,Southern Company,Language Complexity,CQ22014,10.95,2,2014,2014-06-30
+XEL,Xcel Energy,Language Complexity,CQ22014,13.37,2,2014,2014-06-30
+T,AT&T,Net Positivity,CQ32014,1.85,3,2014,2014-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32014,1.25,3,2014,2014-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32014,,3,2014,2014-09-30
+META,Meta Platforms,Net Positivity,CQ32014,1.78,3,2014,2014-09-30
+NFLX,Netflix,Net Positivity,CQ32014,1.38,3,2014,2014-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32014,1.05,3,2014,2014-09-30
+OMC,Omnicom Group,Net Positivity,CQ32014,1.12,3,2014,2014-09-30
+VZ,Verizon,Net Positivity,CQ32014,1.64,3,2014,2014-09-30
+AMZN,Amazon,Net Positivity,CQ32014,1.2,3,2014,2014-09-30
+AZO,AutoZone,Net Positivity,CQ32014,1.37,3,2014,2014-09-30
+BBY,Best Buy,Net Positivity,CQ32014,0.71,3,2014,2014-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32014,0.99,3,2014,2014-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32014,1.97,3,2014,2014-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32014,0.88,3,2014,2014-09-30
+F,Ford Motor Company,Net Positivity,CQ32014,1.03,3,2014,2014-09-30
+GM,General Motors,Net Positivity,CQ32014,-0.03,3,2014,2014-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32014,1.75,3,2014,2014-09-30
+HAS,Hasbro,Net Positivity,CQ32014,0.84,3,2014,2014-09-30
+LOW,Lowe's,Net Positivity,CQ32014,2.27,3,2014,2014-09-30
+MCD,McDonald's,Net Positivity,CQ32014,1.32,3,2014,2014-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32014,3.05,3,2014,2014-09-30
+ROST,Ross Stores,Net Positivity,CQ32014,1.59,3,2014,2014-09-30
+TJX,TJX Companies,Net Positivity,CQ32014,2.21,3,2014,2014-09-30
+TGT,Target,Net Positivity,CQ32014,1.81,3,2014,2014-09-30
+MO,Altria,Net Positivity,CQ32014,1.11,3,2014,2014-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32014,1.55,3,2014,2014-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32014,0.45,3,2014,2014-09-30
+CLX,Clorox,Net Positivity,CQ32014,0.48,3,2014,2014-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32014,2.27,3,2014,2014-09-30
+COST,Costco,Net Positivity,CQ32014,,3,2014,2014-09-30
+GIS,General Mills,Net Positivity,CQ32014,1.15,3,2014,2014-09-30
+HSY,Hershey Company,Net Positivity,CQ32014,0.57,3,2014,2014-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32014,0.9,3,2014,2014-09-30
+KR,Kroger,Net Positivity,CQ32014,1.19,3,2014,2014-09-30
+MKC,McCormick & Company,Net Positivity,CQ32014,,3,2014,2014-09-30
+PEP,PepsiCo,Net Positivity,CQ32014,1.85,3,2014,2014-09-30
+PG,Procter & Gamble,Net Positivity,CQ32014,1.36,3,2014,2014-09-30
+SYY,Sysco,Net Positivity,CQ32014,0.99,3,2014,2014-09-30
+WMT,Walmart,Net Positivity,CQ32014,2.07,3,2014,2014-09-30
+APA,APA Corporation,Net Positivity,CQ32014,0.66,3,2014,2014-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32014,,3,2014,2014-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32014,1.33,3,2014,2014-09-30
+EOG,EOG Resources,Net Positivity,CQ32014,1.18,3,2014,2014-09-30
+XOM,ExxonMobil,Net Positivity,CQ32014,1.36,3,2014,2014-09-30
+HAL,Halliburton,Net Positivity,CQ32014,1.28,3,2014,2014-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32014,0.76,3,2014,2014-09-30
+SLB,Schlumberger,Net Positivity,CQ32014,1.34,3,2014,2014-09-30
+VLO,Valero Energy,Net Positivity,CQ32014,0.17,3,2014,2014-09-30
+AFL,Aflac,Net Positivity,CQ32014,0.78,3,2014,2014-09-30
+ALL,Allstate,Net Positivity,CQ32014,0.67,3,2014,2014-09-30
+AXP,American Express,Net Positivity,CQ32014,0.93,3,2014,2014-09-30
+AIG,American International Group,Net Positivity,CQ32014,0.69,3,2014,2014-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32014,1.63,3,2014,2014-09-30
+AON,Aon plc,Net Positivity,CQ32014,1.32,3,2014,2014-09-30
+BK,BNY Mellon,Net Positivity,CQ32014,1.07,3,2014,2014-09-30
+BAC,Bank of America,Net Positivity,CQ32014,0.33,3,2014,2014-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32014,,3,2014,2014-09-30
+BLK,BlackRock,Net Positivity,CQ32014,1.03,3,2014,2014-09-30
+CME,CME Group,Net Positivity,CQ32014,0.61,3,2014,2014-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32014,,3,2014,2014-09-30
+CB,Chubb Limited,Net Positivity,CQ32014,0.86,3,2014,2014-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32014,0.16,3,2014,2014-09-30
+C,Citigroup,Net Positivity,CQ32014,0.53,3,2014,2014-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32014,1.55,3,2014,2014-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32014,0.59,3,2014,2014-09-30
+FISV,Fiserv,Net Positivity,CQ32014,1.25,3,2014,2014-09-30
+GS,Goldman Sachs,Net Positivity,CQ32014,0.62,3,2014,2014-09-30
+HIG,Hartford Financial,Net Positivity,CQ32014,1.08,3,2014,2014-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32014,0.15,3,2014,2014-09-30
+IVZ,Invesco,Net Positivity,CQ32014,1.26,3,2014,2014-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32014,0.36,3,2014,2014-09-30
+KEY,KeyCorp,Net Positivity,CQ32014,1.38,3,2014,2014-09-30
+MA,Mastercard,Net Positivity,CQ32014,0.52,3,2014,2014-09-30
+MET,MetLife,Net Positivity,CQ32014,-0.63,3,2014,2014-09-30
+MS,Morgan Stanley,Net Positivity,CQ32014,1.67,3,2014,2014-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32014,1.98,3,2014,2014-09-30
+NTRS,Northern Trust,Net Positivity,CQ32014,1.11,3,2014,2014-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32014,0.41,3,2014,2014-09-30
+PRU,Prudential Financial,Net Positivity,CQ32014,0.72,3,2014,2014-09-30
+RF,Regions Financial,Net Positivity,CQ32014,0.73,3,2014,2014-09-30
+SPGI,S&P Global,Net Positivity,CQ32014,0.57,3,2014,2014-09-30
+STT,State Street,Net Positivity,CQ32014,0.5,3,2014,2014-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32014,,3,2014,2014-09-30
+TRV,Travelers Companies,Net Positivity,CQ32014,0.25,3,2014,2014-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32014,0.88,3,2014,2014-09-30
+V,Visa,Net Positivity,CQ32014,0.35,3,2014,2014-09-30
+WFC,Wells Fargo,Net Positivity,CQ32014,0.87,3,2014,2014-09-30
+ABBV,AbbVie,Net Positivity,CQ32014,1.72,3,2014,2014-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32014,1.01,3,2014,2014-09-30
+A,Agilent Technologies,Net Positivity,CQ32014,0.97,3,2014,2014-09-30
+AMGN,Amgen,Net Positivity,CQ32014,0.75,3,2014,2014-09-30
+BAX,Baxter International,Net Positivity,CQ32014,1.49,3,2014,2014-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32014,1.3,3,2014,2014-09-30
+BIIB,Biogen,Net Positivity,CQ32014,1.27,3,2014,2014-09-30
+BSX,Boston Scientific,Net Positivity,CQ32014,1.1,3,2014,2014-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32014,1.49,3,2014,2014-09-30
+CVS,CVS Health,Net Positivity,CQ32014,,3,2014,2014-09-30
+COR,Cencora,Net Positivity,CQ32014,,3,2014,2014-09-30
+CI,Cigna,Net Positivity,CQ32014,1.63,3,2014,2014-09-30
+DVA,DaVita,Net Positivity,CQ32014,0.86,3,2014,2014-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32014,0.86,3,2014,2014-09-30
+LLY,Eli Lilly,Net Positivity,CQ32014,0.54,3,2014,2014-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32014,0.44,3,2014,2014-09-30
+HUM,Humana,Net Positivity,CQ32014,0.87,3,2014,2014-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32014,0.7,3,2014,2014-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32014,1.98,3,2014,2014-09-30
+LH,Labcorp,Net Positivity,CQ32014,0.99,3,2014,2014-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32014,1.06,3,2014,2014-09-30
+MDT,Medtronic,Net Positivity,CQ32014,0.86,3,2014,2014-09-30
+MRK,Merck & Co.,Net Positivity,CQ32014,1.22,3,2014,2014-09-30
+PFE,Pfizer,Net Positivity,CQ32014,1.19,3,2014,2014-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32014,1.51,3,2014,2014-09-30
+WAT,Waters Corporation,Net Positivity,CQ32014,0.76,3,2014,2014-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32014,1.37,3,2014,2014-09-30
+MMM,3M,Net Positivity,CQ32014,1.38,3,2014,2014-09-30
+AME,Ametek,Net Positivity,CQ32014,1.88,3,2014,2014-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32014,1.23,3,2014,2014-09-30
+BA,Boeing,Net Positivity,CQ32014,1.32,3,2014,2014-09-30
+CSX,CSX Corporation,Net Positivity,CQ32014,0.42,3,2014,2014-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32014,0.82,3,2014,2014-09-30
+CTAS,Cintas,Net Positivity,CQ32014,0.85,3,2014,2014-09-30
+CMI,Cummins,Net Positivity,CQ32014,0.63,3,2014,2014-09-30
+DE,Deere & Company,Net Positivity,CQ32014,0.15,3,2014,2014-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32014,-0.09,3,2014,2014-09-30
+EMR,Emerson Electric,Net Positivity,CQ32014,0.81,3,2014,2014-09-30
+EFX,Equifax,Net Positivity,CQ32014,1.54,3,2014,2014-09-30
+EXPD,Expeditors International,Net Positivity,CQ32014,,3,2014,2014-09-30
+FDX,FedEx,Net Positivity,CQ32014,1.83,3,2014,2014-09-30
+GE,GE Aerospace,Net Positivity,CQ32014,1.0,3,2014,2014-09-30
+GD,General Dynamics,Net Positivity,CQ32014,0.65,3,2014,2014-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32014,1.54,3,2014,2014-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32014,1.0,3,2014,2014-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32014,0.86,3,2014,2014-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32014,1.48,3,2014,2014-09-30
+PCAR,Paccar,Net Positivity,CQ32014,1.67,3,2014,2014-09-30
+RTX,RTX Corporation,Net Positivity,CQ32014,0.57,3,2014,2014-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32014,0.45,3,2014,2014-09-30
+ROP,Roper Technologies,Net Positivity,CQ32014,1.42,3,2014,2014-09-30
+SNA,Snap-on,Net Positivity,CQ32014,1.93,3,2014,2014-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32014,0.73,3,2014,2014-09-30
+UPS,United Parcel Service,Net Positivity,CQ32014,1.11,3,2014,2014-09-30
+WM,Waste Management,Net Positivity,CQ32014,0.45,3,2014,2014-09-30
+ACN,Accenture,Net Positivity,CQ32014,1.57,3,2014,2014-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32014,2.56,3,2014,2014-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32014,1.13,3,2014,2014-09-30
+APH,Amphenol,Net Positivity,CQ32014,1.77,3,2014,2014-09-30
+ADI,Analog Devices,Net Positivity,CQ32014,0.78,3,2014,2014-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32014,1.62,3,2014,2014-09-30
+AMAT,Applied Materials,Net Positivity,CQ32014,2.74,3,2014,2014-09-30
+ADSK,Autodesk,Net Positivity,CQ32014,0.76,3,2014,2014-09-30
+AVGO,Broadcom,Net Positivity,CQ32014,0.78,3,2014,2014-09-30
+CSCO,Cisco,Net Positivity,CQ32014,0.83,3,2014,2014-09-30
+CTSH,Cognizant,Net Positivity,CQ32014,1.01,3,2014,2014-09-30
+HPQ,HP Inc.,Net Positivity,CQ32014,1.97,3,2014,2014-09-30
+IBM,IBM,Net Positivity,CQ32014,0.98,3,2014,2014-09-30
+INTC,Intel,Net Positivity,CQ32014,0.48,3,2014,2014-09-30
+INTU,Intuit,Net Positivity,CQ32014,1.07,3,2014,2014-09-30
+LRCX,Lam Research,Net Positivity,CQ32014,1.4,3,2014,2014-09-30
+MU,Micron Technology,Net Positivity,CQ32014,1.6,3,2014,2014-09-30
+MSFT,Microsoft,Net Positivity,CQ32014,1.2,3,2014,2014-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32014,0.87,3,2014,2014-09-30
+NTAP,NetApp,Net Positivity,CQ32014,0.86,3,2014,2014-09-30
+NVDA,Nvidia,Net Positivity,CQ32014,1.11,3,2014,2014-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32014,0.53,3,2014,2014-09-30
+TXN,Texas Instruments,Net Positivity,CQ32014,0.62,3,2014,2014-09-30
+APD,Air Products,Net Positivity,CQ32014,1.4,3,2014,2014-09-30
+AVY,Avery Dennison,Net Positivity,CQ32014,0.38,3,2014,2014-09-30
+ECL,Ecolab,Net Positivity,CQ32014,1.7,3,2014,2014-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32014,1.55,3,2014,2014-09-30
+IP,International Paper,Net Positivity,CQ32014,1.0,3,2014,2014-09-30
+LIN,Linde plc,Net Positivity,CQ32014,1.04,3,2014,2014-09-30
+NEM,Newmont,Net Positivity,CQ32014,1.09,3,2014,2014-09-30
+NUE,Nucor,Net Positivity,CQ32014,2.01,3,2014,2014-09-30
+AMT,American Tower,Net Positivity,CQ32014,0.98,3,2014,2014-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32014,0.42,3,2014,2014-09-30
+EQR,Equity Residential,Net Positivity,CQ32014,1.44,3,2014,2014-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32014,0.99,3,2014,2014-09-30
+IRM,Iron Mountain,Net Positivity,CQ32014,1.37,3,2014,2014-09-30
+PLD,Prologis,Net Positivity,CQ32014,0.74,3,2014,2014-09-30
+VTR,Ventas,Net Positivity,CQ32014,1.34,3,2014,2014-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32014,0.9,3,2014,2014-09-30
+AES,AES Corporation,Net Positivity,CQ32014,0.55,3,2014,2014-09-30
+AEE,Ameren,Net Positivity,CQ32014,0.36,3,2014,2014-09-30
+AEP,American Electric Power,Net Positivity,CQ32014,0.66,3,2014,2014-09-30
+CMS,CMS Energy,Net Positivity,CQ32014,1.28,3,2014,2014-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32014,1.66,3,2014,2014-09-30
+DUK,Duke Energy,Net Positivity,CQ32014,0.58,3,2014,2014-09-30
+EIX,Edison International,Net Positivity,CQ32014,0.06,3,2014,2014-09-30
+ETR,Entergy,Net Positivity,CQ32014,0.52,3,2014,2014-09-30
+EXC,Exelon,Net Positivity,CQ32014,0.35,3,2014,2014-09-30
+NEE,NextEra Energy,Net Positivity,CQ32014,0.61,3,2014,2014-09-30
+SO,Southern Company,Net Positivity,CQ32014,0.21,3,2014,2014-09-30
+XEL,Xcel Energy,Net Positivity,CQ32014,1.22,3,2014,2014-09-30
+T,AT&T,Numeric Transeprency,CQ32014,2.31,3,2014,2014-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32014,1.1,3,2014,2014-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32014,,3,2014,2014-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32014,1.61,3,2014,2014-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32014,0.95,3,2014,2014-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32014,2.62,3,2014,2014-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32014,2.76,3,2014,2014-09-30
+VZ,Verizon,Numeric Transeprency,CQ32014,2.58,3,2014,2014-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32014,2.83,3,2014,2014-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32014,2.08,3,2014,2014-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32014,1.51,3,2014,2014-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32014,1.51,3,2014,2014-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32014,1.9,3,2014,2014-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32014,1.79,3,2014,2014-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32014,2.69,3,2014,2014-09-30
+GM,General Motors,Numeric Transeprency,CQ32014,3.16,3,2014,2014-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32014,4.19,3,2014,2014-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32014,1.49,3,2014,2014-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32014,2.32,3,2014,2014-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32014,1.25,3,2014,2014-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32014,1.23,3,2014,2014-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32014,2.81,3,2014,2014-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32014,2.39,3,2014,2014-09-30
+TGT,Target,Numeric Transeprency,CQ32014,1.65,3,2014,2014-09-30
+MO,Altria,Numeric Transeprency,CQ32014,2.85,3,2014,2014-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32014,2.29,3,2014,2014-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32014,1.27,3,2014,2014-09-30
+CLX,Clorox,Numeric Transeprency,CQ32014,2.86,3,2014,2014-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32014,1.4,3,2014,2014-09-30
+COST,Costco,Numeric Transeprency,CQ32014,,3,2014,2014-09-30
+GIS,General Mills,Numeric Transeprency,CQ32014,1.86,3,2014,2014-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32014,1.85,3,2014,2014-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32014,1.5,3,2014,2014-09-30
+KR,Kroger,Numeric Transeprency,CQ32014,1.49,3,2014,2014-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32014,,3,2014,2014-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32014,2.06,3,2014,2014-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32014,2.22,3,2014,2014-09-30
+SYY,Sysco,Numeric Transeprency,CQ32014,2.01,3,2014,2014-09-30
+WMT,Walmart,Numeric Transeprency,CQ32014,2.29,3,2014,2014-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32014,2.39,3,2014,2014-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32014,,3,2014,2014-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32014,2.53,3,2014,2014-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32014,2.4,3,2014,2014-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32014,2.25,3,2014,2014-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32014,1.68,3,2014,2014-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32014,3.24,3,2014,2014-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32014,2.09,3,2014,2014-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32014,1.81,3,2014,2014-09-30
+AFL,Aflac,Numeric Transeprency,CQ32014,1.88,3,2014,2014-09-30
+ALL,Allstate,Numeric Transeprency,CQ32014,2.41,3,2014,2014-09-30
+AXP,American Express,Numeric Transeprency,CQ32014,1.51,3,2014,2014-09-30
+AIG,American International Group,Numeric Transeprency,CQ32014,2.34,3,2014,2014-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32014,2.08,3,2014,2014-09-30
+AON,Aon plc,Numeric Transeprency,CQ32014,2.48,3,2014,2014-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32014,2.08,3,2014,2014-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32014,3.21,3,2014,2014-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32014,,3,2014,2014-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32014,1.7,3,2014,2014-09-30
+CME,CME Group,Numeric Transeprency,CQ32014,1.62,3,2014,2014-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32014,,3,2014,2014-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32014,2.27,3,2014,2014-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32014,1.83,3,2014,2014-09-30
+C,Citigroup,Numeric Transeprency,CQ32014,2.22,3,2014,2014-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32014,2.13,3,2014,2014-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32014,2.83,3,2014,2014-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32014,2.97,3,2014,2014-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32014,1.65,3,2014,2014-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32014,2.95,3,2014,2014-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32014,2.11,3,2014,2014-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32014,2.11,3,2014,2014-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32014,2.33,3,2014,2014-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32014,2.04,3,2014,2014-09-30
+MA,Mastercard,Numeric Transeprency,CQ32014,2.04,3,2014,2014-09-30
+MET,MetLife,Numeric Transeprency,CQ32014,2.68,3,2014,2014-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32014,2.55,3,2014,2014-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32014,2.63,3,2014,2014-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32014,2.26,3,2014,2014-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32014,2.24,3,2014,2014-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32014,2.82,3,2014,2014-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32014,1.7,3,2014,2014-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32014,1.71,3,2014,2014-09-30
+STT,State Street,Numeric Transeprency,CQ32014,2.17,3,2014,2014-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32014,,3,2014,2014-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32014,1.81,3,2014,2014-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32014,2.81,3,2014,2014-09-30
+V,Visa,Numeric Transeprency,CQ32014,1.87,3,2014,2014-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32014,2.31,3,2014,2014-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32014,3.17,3,2014,2014-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32014,1.2,3,2014,2014-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32014,2.19,3,2014,2014-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32014,2.44,3,2014,2014-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32014,2.35,3,2014,2014-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32014,1.81,3,2014,2014-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32014,1.8,3,2014,2014-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32014,3.56,3,2014,2014-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32014,1.19,3,2014,2014-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32014,,3,2014,2014-09-30
+COR,Cencora,Numeric Transeprency,CQ32014,,3,2014,2014-09-30
+CI,Cigna,Numeric Transeprency,CQ32014,2.41,3,2014,2014-09-30
+DVA,DaVita,Numeric Transeprency,CQ32014,2.77,3,2014,2014-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32014,2.02,3,2014,2014-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32014,1.93,3,2014,2014-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32014,2.42,3,2014,2014-09-30
+HUM,Humana,Numeric Transeprency,CQ32014,1.7,3,2014,2014-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32014,2.38,3,2014,2014-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32014,2.5,3,2014,2014-09-30
+LH,Labcorp,Numeric Transeprency,CQ32014,1.43,3,2014,2014-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32014,2.6,3,2014,2014-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32014,2.38,3,2014,2014-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32014,1.62,3,2014,2014-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32014,2.15,3,2014,2014-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32014,2.48,3,2014,2014-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32014,1.64,3,2014,2014-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32014,2.42,3,2014,2014-09-30
+MMM,3M,Numeric Transeprency,CQ32014,3.57,3,2014,2014-09-30
+AME,Ametek,Numeric Transeprency,CQ32014,3.11,3,2014,2014-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32014,2.3,3,2014,2014-09-30
+BA,Boeing,Numeric Transeprency,CQ32014,2.46,3,2014,2014-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32014,2.11,3,2014,2014-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32014,1.78,3,2014,2014-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32014,2.69,3,2014,2014-09-30
+CMI,Cummins,Numeric Transeprency,CQ32014,3.42,3,2014,2014-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32014,2.88,3,2014,2014-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32014,2.69,3,2014,2014-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32014,2.29,3,2014,2014-09-30
+EFX,Equifax,Numeric Transeprency,CQ32014,2.22,3,2014,2014-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32014,,3,2014,2014-09-30
+FDX,FedEx,Numeric Transeprency,CQ32014,1.36,3,2014,2014-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32014,5.42,3,2014,2014-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32014,2.57,3,2014,2014-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32014,3.72,3,2014,2014-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32014,2.03,3,2014,2014-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32014,2.33,3,2014,2014-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32014,1.84,3,2014,2014-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32014,1.67,3,2014,2014-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32014,3.32,3,2014,2014-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32014,2.84,3,2014,2014-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32014,2.42,3,2014,2014-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32014,3.64,3,2014,2014-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32014,2.4,3,2014,2014-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32014,1.88,3,2014,2014-09-30
+WM,Waste Management,Numeric Transeprency,CQ32014,2.63,3,2014,2014-09-30
+ACN,Accenture,Numeric Transeprency,CQ32014,3.41,3,2014,2014-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32014,2.27,3,2014,2014-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32014,1.86,3,2014,2014-09-30
+APH,Amphenol,Numeric Transeprency,CQ32014,1.78,3,2014,2014-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32014,2.77,3,2014,2014-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32014,2.87,3,2014,2014-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32014,2.65,3,2014,2014-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32014,0.95,3,2014,2014-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32014,2.45,3,2014,2014-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32014,2.7,3,2014,2014-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32014,1.86,3,2014,2014-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32014,2.47,3,2014,2014-09-30
+IBM,IBM,Numeric Transeprency,CQ32014,2.26,3,2014,2014-09-30
+INTC,Intel,Numeric Transeprency,CQ32014,1.74,3,2014,2014-09-30
+INTU,Intuit,Numeric Transeprency,CQ32014,2.8,3,2014,2014-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32014,2.53,3,2014,2014-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32014,2.91,3,2014,2014-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32014,2.12,3,2014,2014-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32014,2.54,3,2014,2014-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32014,1.5,3,2014,2014-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32014,1.72,3,2014,2014-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32014,2.85,3,2014,2014-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32014,1.94,3,2014,2014-09-30
+APD,Air Products,Numeric Transeprency,CQ32014,1.93,3,2014,2014-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32014,2.1,3,2014,2014-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32014,1.77,3,2014,2014-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32014,2.59,3,2014,2014-09-30
+IP,International Paper,Numeric Transeprency,CQ32014,1.63,3,2014,2014-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32014,2.0,3,2014,2014-09-30
+NEM,Newmont,Numeric Transeprency,CQ32014,3.43,3,2014,2014-09-30
+NUE,Nucor,Numeric Transeprency,CQ32014,1.48,3,2014,2014-09-30
+AMT,American Tower,Numeric Transeprency,CQ32014,3.65,3,2014,2014-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32014,1.96,3,2014,2014-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32014,2.73,3,2014,2014-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32014,3.84,3,2014,2014-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32014,2.27,3,2014,2014-09-30
+PLD,Prologis,Numeric Transeprency,CQ32014,3.19,3,2014,2014-09-30
+VTR,Ventas,Numeric Transeprency,CQ32014,3.28,3,2014,2014-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32014,1.75,3,2014,2014-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32014,3.24,3,2014,2014-09-30
+AEE,Ameren,Numeric Transeprency,CQ32014,2.4,3,2014,2014-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32014,3.06,3,2014,2014-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32014,2.65,3,2014,2014-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32014,3.97,3,2014,2014-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32014,2.81,3,2014,2014-09-30
+EIX,Edison International,Numeric Transeprency,CQ32014,2.32,3,2014,2014-09-30
+ETR,Entergy,Numeric Transeprency,CQ32014,1.89,3,2014,2014-09-30
+EXC,Exelon,Numeric Transeprency,CQ32014,2.69,3,2014,2014-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32014,2.19,3,2014,2014-09-30
+SO,Southern Company,Numeric Transeprency,CQ32014,2.13,3,2014,2014-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32014,3.49,3,2014,2014-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32014,21.88,3,2014,2014-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32014,28.0,3,2014,2014-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32014,,3,2014,2014-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32014,28.57,3,2014,2014-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32014,2.63,3,2014,2014-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32014,37.5,3,2014,2014-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32014,29.41,3,2014,2014-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32014,29.03,3,2014,2014-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32014,30.43,3,2014,2014-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32014,28.0,3,2014,2014-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32014,21.43,3,2014,2014-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32014,40.0,3,2014,2014-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32014,25.0,3,2014,2014-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32014,31.03,3,2014,2014-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32014,43.48,3,2014,2014-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32014,40.0,3,2014,2014-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32014,38.46,3,2014,2014-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32014,66.67,3,2014,2014-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32014,24.14,3,2014,2014-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32014,25.81,3,2014,2014-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32014,42.42,3,2014,2014-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32014,35.48,3,2014,2014-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32014,23.33,3,2014,2014-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32014,42.86,3,2014,2014-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32014,38.89,3,2014,2014-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32014,36.0,3,2014,2014-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32014,,3,2014,2014-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32014,62.5,3,2014,2014-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32014,46.15,3,2014,2014-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32014,,3,2014,2014-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32014,36.36,3,2014,2014-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32014,35.71,3,2014,2014-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32014,60.0,3,2014,2014-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32014,0.0,3,2014,2014-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32014,29.41,3,2014,2014-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32014,,3,2014,2014-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32014,15.15,3,2014,2014-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32014,28.57,3,2014,2014-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32014,45.45,3,2014,2014-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32014,32.26,3,2014,2014-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32014,28.0,3,2014,2014-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32014,38.71,3,2014,2014-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32014,46.67,3,2014,2014-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32014,35.0,3,2014,2014-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32014,23.08,3,2014,2014-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32014,31.03,3,2014,2014-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32014,22.73,3,2014,2014-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32014,20.0,3,2014,2014-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32014,45.0,3,2014,2014-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32014,40.0,3,2014,2014-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32014,31.03,3,2014,2014-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32014,,3,2014,2014-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32014,47.62,3,2014,2014-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32014,56.25,3,2014,2014-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32014,,3,2014,2014-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32014,30.43,3,2014,2014-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32014,51.85,3,2014,2014-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32014,68.75,3,2014,2014-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32014,22.22,3,2014,2014-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32014,20.0,3,2014,2014-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32014,36.84,3,2014,2014-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32014,60.0,3,2014,2014-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32014,52.38,3,2014,2014-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32014,41.38,3,2014,2014-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32014,28.57,3,2014,2014-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32014,37.5,3,2014,2014-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32014,45.45,3,2014,2014-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32014,22.22,3,2014,2014-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32014,61.54,3,2014,2014-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32014,42.11,3,2014,2014-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32014,44.44,3,2014,2014-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32014,33.33,3,2014,2014-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32014,30.0,3,2014,2014-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32014,64.29,3,2014,2014-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32014,,3,2014,2014-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32014,34.62,3,2014,2014-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32014,16.67,3,2014,2014-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32014,33.33,3,2014,2014-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32014,35.48,3,2014,2014-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32014,0.0,3,2014,2014-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32014,26.92,3,2014,2014-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32014,78.57,3,2014,2014-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32014,44.0,3,2014,2014-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32014,42.11,3,2014,2014-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32014,60.0,3,2014,2014-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32014,36.0,3,2014,2014-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32014,25.0,3,2014,2014-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32014,40.91,3,2014,2014-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32014,,3,2014,2014-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32014,,3,2014,2014-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32014,26.67,3,2014,2014-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32014,33.33,3,2014,2014-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32014,40.91,3,2014,2014-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32014,60.0,3,2014,2014-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32014,53.57,3,2014,2014-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32014,60.0,3,2014,2014-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32014,31.82,3,2014,2014-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32014,39.13,3,2014,2014-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32014,44.0,3,2014,2014-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32014,44.44,3,2014,2014-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32014,38.1,3,2014,2014-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32014,57.14,3,2014,2014-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32014,57.14,3,2014,2014-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32014,66.67,3,2014,2014-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32014,77.78,3,2014,2014-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32014,25.81,3,2014,2014-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32014,55.56,3,2014,2014-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32014,38.46,3,2014,2014-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32014,24.0,3,2014,2014-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32014,39.29,3,2014,2014-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32014,55.56,3,2014,2014-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32014,34.62,3,2014,2014-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32014,29.41,3,2014,2014-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32014,33.33,3,2014,2014-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32014,46.15,3,2014,2014-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32014,39.13,3,2014,2014-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32014,38.46,3,2014,2014-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32014,53.33,3,2014,2014-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32014,,3,2014,2014-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32014,45.16,3,2014,2014-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32014,47.06,3,2014,2014-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32014,55.0,3,2014,2014-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32014,23.81,3,2014,2014-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32014,56.52,3,2014,2014-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32014,62.96,3,2014,2014-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32014,45.45,3,2014,2014-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32014,73.08,3,2014,2014-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32014,59.09,3,2014,2014-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32014,45.45,3,2014,2014-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32014,80.0,3,2014,2014-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32014,68.75,3,2014,2014-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32014,62.07,3,2014,2014-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32014,58.82,3,2014,2014-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32014,30.43,3,2014,2014-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32014,68.42,3,2014,2014-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32014,57.14,3,2014,2014-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32014,84.62,3,2014,2014-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32014,45.45,3,2014,2014-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32014,14.29,3,2014,2014-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32014,37.5,3,2014,2014-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32014,63.16,3,2014,2014-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32014,31.58,3,2014,2014-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32014,24.44,3,2014,2014-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32014,40.0,3,2014,2014-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32014,34.38,3,2014,2014-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32014,33.33,3,2014,2014-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32014,26.09,3,2014,2014-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32014,58.82,3,2014,2014-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32014,52.63,3,2014,2014-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32014,25.0,3,2014,2014-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32014,28.57,3,2014,2014-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32014,40.0,3,2014,2014-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32014,33.33,3,2014,2014-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32014,22.22,3,2014,2014-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32014,17.78,3,2014,2014-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32014,44.74,3,2014,2014-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32014,54.55,3,2014,2014-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32014,66.67,3,2014,2014-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32014,75.0,3,2014,2014-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32014,45.45,3,2014,2014-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32014,52.94,3,2014,2014-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32014,57.14,3,2014,2014-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32014,40.91,3,2014,2014-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32014,42.11,3,2014,2014-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32014,22.22,3,2014,2014-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32014,66.67,3,2014,2014-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32014,57.14,3,2014,2014-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32014,45.45,3,2014,2014-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32014,42.86,3,2014,2014-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32014,69.23,3,2014,2014-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32014,36.36,3,2014,2014-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32014,36.36,3,2014,2014-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32014,27.27,3,2014,2014-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32014,50.0,3,2014,2014-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32014,7.69,3,2014,2014-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32014,31.82,3,2014,2014-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32014,25.0,3,2014,2014-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32014,31.58,3,2014,2014-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32014,25.0,3,2014,2014-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32014,29.17,3,2014,2014-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32014,31.82,3,2014,2014-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32014,10.53,3,2014,2014-09-30
+T,AT&T,Language Complexity,CQ32014,11.11,3,2014,2014-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32014,11.29,3,2014,2014-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32014,,3,2014,2014-09-30
+META,Meta Platforms,Language Complexity,CQ32014,12.68,3,2014,2014-09-30
+NFLX,Netflix,Language Complexity,CQ32014,11.08,3,2014,2014-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32014,13.78,3,2014,2014-09-30
+OMC,Omnicom Group,Language Complexity,CQ32014,12.51,3,2014,2014-09-30
+VZ,Verizon,Language Complexity,CQ32014,12.72,3,2014,2014-09-30
+AMZN,Amazon,Language Complexity,CQ32014,11.08,3,2014,2014-09-30
+AZO,AutoZone,Language Complexity,CQ32014,12.7,3,2014,2014-09-30
+BBY,Best Buy,Language Complexity,CQ32014,13.79,3,2014,2014-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32014,12.29,3,2014,2014-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32014,14.7,3,2014,2014-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32014,13.12,3,2014,2014-09-30
+F,Ford Motor Company,Language Complexity,CQ32014,11.73,3,2014,2014-09-30
+GM,General Motors,Language Complexity,CQ32014,12.72,3,2014,2014-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32014,12.38,3,2014,2014-09-30
+HAS,Hasbro,Language Complexity,CQ32014,12.31,3,2014,2014-09-30
+LOW,Lowe's,Language Complexity,CQ32014,12.32,3,2014,2014-09-30
+MCD,McDonald's,Language Complexity,CQ32014,13.02,3,2014,2014-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32014,13.57,3,2014,2014-09-30
+ROST,Ross Stores,Language Complexity,CQ32014,11.19,3,2014,2014-09-30
+TJX,TJX Companies,Language Complexity,CQ32014,10.26,3,2014,2014-09-30
+TGT,Target,Language Complexity,CQ32014,14.42,3,2014,2014-09-30
+MO,Altria,Language Complexity,CQ32014,11.7,3,2014,2014-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32014,10.85,3,2014,2014-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32014,12.93,3,2014,2014-09-30
+CLX,Clorox,Language Complexity,CQ32014,12.06,3,2014,2014-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32014,14.06,3,2014,2014-09-30
+COST,Costco,Language Complexity,CQ32014,,3,2014,2014-09-30
+GIS,General Mills,Language Complexity,CQ32014,11.86,3,2014,2014-09-30
+HSY,Hershey Company,Language Complexity,CQ32014,12.26,3,2014,2014-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32014,11.1,3,2014,2014-09-30
+KR,Kroger,Language Complexity,CQ32014,12.1,3,2014,2014-09-30
+MKC,McCormick & Company,Language Complexity,CQ32014,,3,2014,2014-09-30
+PEP,PepsiCo,Language Complexity,CQ32014,13.75,3,2014,2014-09-30
+PG,Procter & Gamble,Language Complexity,CQ32014,12.34,3,2014,2014-09-30
+SYY,Sysco,Language Complexity,CQ32014,12.31,3,2014,2014-09-30
+WMT,Walmart,Language Complexity,CQ32014,15.91,3,2014,2014-09-30
+APA,APA Corporation,Language Complexity,CQ32014,11.79,3,2014,2014-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32014,,3,2014,2014-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32014,11.88,3,2014,2014-09-30
+EOG,EOG Resources,Language Complexity,CQ32014,11.36,3,2014,2014-09-30
+XOM,ExxonMobil,Language Complexity,CQ32014,12.27,3,2014,2014-09-30
+HAL,Halliburton,Language Complexity,CQ32014,12.8,3,2014,2014-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32014,12.88,3,2014,2014-09-30
+SLB,Schlumberger,Language Complexity,CQ32014,13.19,3,2014,2014-09-30
+VLO,Valero Energy,Language Complexity,CQ32014,11.19,3,2014,2014-09-30
+AFL,Aflac,Language Complexity,CQ32014,11.49,3,2014,2014-09-30
+ALL,Allstate,Language Complexity,CQ32014,13.05,3,2014,2014-09-30
+AXP,American Express,Language Complexity,CQ32014,13.48,3,2014,2014-09-30
+AIG,American International Group,Language Complexity,CQ32014,13.72,3,2014,2014-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32014,12.16,3,2014,2014-09-30
+AON,Aon plc,Language Complexity,CQ32014,13.66,3,2014,2014-09-30
+BK,BNY Mellon,Language Complexity,CQ32014,12.54,3,2014,2014-09-30
+BAC,Bank of America,Language Complexity,CQ32014,12.21,3,2014,2014-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32014,,3,2014,2014-09-30
+BLK,BlackRock,Language Complexity,CQ32014,13.19,3,2014,2014-09-30
+CME,CME Group,Language Complexity,CQ32014,11.88,3,2014,2014-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32014,,3,2014,2014-09-30
+CB,Chubb Limited,Language Complexity,CQ32014,11.66,3,2014,2014-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32014,12.26,3,2014,2014-09-30
+C,Citigroup,Language Complexity,CQ32014,12.13,3,2014,2014-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32014,12.09,3,2014,2014-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32014,13.11,3,2014,2014-09-30
+FISV,Fiserv,Language Complexity,CQ32014,12.76,3,2014,2014-09-30
+GS,Goldman Sachs,Language Complexity,CQ32014,11.94,3,2014,2014-09-30
+HIG,Hartford Financial,Language Complexity,CQ32014,12.93,3,2014,2014-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32014,12.68,3,2014,2014-09-30
+IVZ,Invesco,Language Complexity,CQ32014,11.41,3,2014,2014-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32014,11.04,3,2014,2014-09-30
+KEY,KeyCorp,Language Complexity,CQ32014,12.38,3,2014,2014-09-30
+MA,Mastercard,Language Complexity,CQ32014,11.47,3,2014,2014-09-30
+MET,MetLife,Language Complexity,CQ32014,12.72,3,2014,2014-09-30
+MS,Morgan Stanley,Language Complexity,CQ32014,12.92,3,2014,2014-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32014,12.35,3,2014,2014-09-30
+NTRS,Northern Trust,Language Complexity,CQ32014,13.27,3,2014,2014-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32014,11.33,3,2014,2014-09-30
+PRU,Prudential Financial,Language Complexity,CQ32014,12.98,3,2014,2014-09-30
+RF,Regions Financial,Language Complexity,CQ32014,13.82,3,2014,2014-09-30
+SPGI,S&P Global,Language Complexity,CQ32014,12.39,3,2014,2014-09-30
+STT,State Street,Language Complexity,CQ32014,12.63,3,2014,2014-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32014,,3,2014,2014-09-30
+TRV,Travelers Companies,Language Complexity,CQ32014,12.4,3,2014,2014-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32014,12.19,3,2014,2014-09-30
+V,Visa,Language Complexity,CQ32014,13.17,3,2014,2014-09-30
+WFC,Wells Fargo,Language Complexity,CQ32014,11.54,3,2014,2014-09-30
+ABBV,AbbVie,Language Complexity,CQ32014,13.76,3,2014,2014-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32014,12.9,3,2014,2014-09-30
+A,Agilent Technologies,Language Complexity,CQ32014,11.91,3,2014,2014-09-30
+AMGN,Amgen,Language Complexity,CQ32014,13.13,3,2014,2014-09-30
+BAX,Baxter International,Language Complexity,CQ32014,14.12,3,2014,2014-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32014,11.07,3,2014,2014-09-30
+BIIB,Biogen,Language Complexity,CQ32014,12.24,3,2014,2014-09-30
+BSX,Boston Scientific,Language Complexity,CQ32014,12.77,3,2014,2014-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32014,12.54,3,2014,2014-09-30
+CVS,CVS Health,Language Complexity,CQ32014,,3,2014,2014-09-30
+COR,Cencora,Language Complexity,CQ32014,,3,2014,2014-09-30
+CI,Cigna,Language Complexity,CQ32014,14.42,3,2014,2014-09-30
+DVA,DaVita,Language Complexity,CQ32014,11.5,3,2014,2014-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32014,12.26,3,2014,2014-09-30
+LLY,Eli Lilly,Language Complexity,CQ32014,12.4,3,2014,2014-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32014,12.6,3,2014,2014-09-30
+HUM,Humana,Language Complexity,CQ32014,12.76,3,2014,2014-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32014,14.01,3,2014,2014-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32014,13.6,3,2014,2014-09-30
+LH,Labcorp,Language Complexity,CQ32014,13.7,3,2014,2014-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32014,14.15,3,2014,2014-09-30
+MDT,Medtronic,Language Complexity,CQ32014,13.94,3,2014,2014-09-30
+MRK,Merck & Co.,Language Complexity,CQ32014,12.38,3,2014,2014-09-30
+PFE,Pfizer,Language Complexity,CQ32014,12.79,3,2014,2014-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32014,13.02,3,2014,2014-09-30
+WAT,Waters Corporation,Language Complexity,CQ32014,12.02,3,2014,2014-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32014,14.14,3,2014,2014-09-30
+MMM,3M,Language Complexity,CQ32014,10.91,3,2014,2014-09-30
+AME,Ametek,Language Complexity,CQ32014,12.21,3,2014,2014-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32014,14.0,3,2014,2014-09-30
+BA,Boeing,Language Complexity,CQ32014,12.89,3,2014,2014-09-30
+CSX,CSX Corporation,Language Complexity,CQ32014,11.87,3,2014,2014-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32014,9.96,3,2014,2014-09-30
+CTAS,Cintas,Language Complexity,CQ32014,12.18,3,2014,2014-09-30
+CMI,Cummins,Language Complexity,CQ32014,11.12,3,2014,2014-09-30
+DE,Deere & Company,Language Complexity,CQ32014,11.04,3,2014,2014-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32014,10.38,3,2014,2014-09-30
+EMR,Emerson Electric,Language Complexity,CQ32014,9.98,3,2014,2014-09-30
+EFX,Equifax,Language Complexity,CQ32014,12.62,3,2014,2014-09-30
+EXPD,Expeditors International,Language Complexity,CQ32014,,3,2014,2014-09-30
+FDX,FedEx,Language Complexity,CQ32014,11.7,3,2014,2014-09-30
+GE,GE Aerospace,Language Complexity,CQ32014,11.08,3,2014,2014-09-30
+GD,General Dynamics,Language Complexity,CQ32014,10.65,3,2014,2014-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32014,12.83,3,2014,2014-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32014,12.69,3,2014,2014-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32014,11.9,3,2014,2014-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32014,12.98,3,2014,2014-09-30
+PCAR,Paccar,Language Complexity,CQ32014,10.52,3,2014,2014-09-30
+RTX,RTX Corporation,Language Complexity,CQ32014,10.11,3,2014,2014-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32014,10.14,3,2014,2014-09-30
+ROP,Roper Technologies,Language Complexity,CQ32014,11.3,3,2014,2014-09-30
+SNA,Snap-on,Language Complexity,CQ32014,12.29,3,2014,2014-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32014,13.04,3,2014,2014-09-30
+UPS,United Parcel Service,Language Complexity,CQ32014,11.71,3,2014,2014-09-30
+WM,Waste Management,Language Complexity,CQ32014,10.94,3,2014,2014-09-30
+ACN,Accenture,Language Complexity,CQ32014,12.79,3,2014,2014-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32014,14.32,3,2014,2014-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32014,12.33,3,2014,2014-09-30
+APH,Amphenol,Language Complexity,CQ32014,13.81,3,2014,2014-09-30
+ADI,Analog Devices,Language Complexity,CQ32014,12.56,3,2014,2014-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32014,12.02,3,2014,2014-09-30
+AMAT,Applied Materials,Language Complexity,CQ32014,11.13,3,2014,2014-09-30
+ADSK,Autodesk,Language Complexity,CQ32014,11.02,3,2014,2014-09-30
+AVGO,Broadcom,Language Complexity,CQ32014,11.6,3,2014,2014-09-30
+CSCO,Cisco,Language Complexity,CQ32014,12.31,3,2014,2014-09-30
+CTSH,Cognizant,Language Complexity,CQ32014,13.54,3,2014,2014-09-30
+HPQ,HP Inc.,Language Complexity,CQ32014,12.99,3,2014,2014-09-30
+IBM,IBM,Language Complexity,CQ32014,11.83,3,2014,2014-09-30
+INTC,Intel,Language Complexity,CQ32014,10.47,3,2014,2014-09-30
+INTU,Intuit,Language Complexity,CQ32014,12.77,3,2014,2014-09-30
+LRCX,Lam Research,Language Complexity,CQ32014,13.8,3,2014,2014-09-30
+MU,Micron Technology,Language Complexity,CQ32014,13.73,3,2014,2014-09-30
+MSFT,Microsoft,Language Complexity,CQ32014,12.74,3,2014,2014-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32014,12.41,3,2014,2014-09-30
+NTAP,NetApp,Language Complexity,CQ32014,13.38,3,2014,2014-09-30
+NVDA,Nvidia,Language Complexity,CQ32014,12.13,3,2014,2014-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32014,11.18,3,2014,2014-09-30
+TXN,Texas Instruments,Language Complexity,CQ32014,11.18,3,2014,2014-09-30
+APD,Air Products,Language Complexity,CQ32014,11.19,3,2014,2014-09-30
+AVY,Avery Dennison,Language Complexity,CQ32014,10.96,3,2014,2014-09-30
+ECL,Ecolab,Language Complexity,CQ32014,11.26,3,2014,2014-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32014,13.27,3,2014,2014-09-30
+IP,International Paper,Language Complexity,CQ32014,10.95,3,2014,2014-09-30
+LIN,Linde plc,Language Complexity,CQ32014,11.78,3,2014,2014-09-30
+NEM,Newmont,Language Complexity,CQ32014,11.18,3,2014,2014-09-30
+NUE,Nucor,Language Complexity,CQ32014,11.54,3,2014,2014-09-30
+AMT,American Tower,Language Complexity,CQ32014,14.17,3,2014,2014-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32014,11.71,3,2014,2014-09-30
+EQR,Equity Residential,Language Complexity,CQ32014,11.22,3,2014,2014-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32014,12.14,3,2014,2014-09-30
+IRM,Iron Mountain,Language Complexity,CQ32014,13.44,3,2014,2014-09-30
+PLD,Prologis,Language Complexity,CQ32014,10.08,3,2014,2014-09-30
+VTR,Ventas,Language Complexity,CQ32014,13.12,3,2014,2014-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32014,11.14,3,2014,2014-09-30
+AES,AES Corporation,Language Complexity,CQ32014,12.04,3,2014,2014-09-30
+AEE,Ameren,Language Complexity,CQ32014,14.37,3,2014,2014-09-30
+AEP,American Electric Power,Language Complexity,CQ32014,13.11,3,2014,2014-09-30
+CMS,CMS Energy,Language Complexity,CQ32014,10.77,3,2014,2014-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32014,13.79,3,2014,2014-09-30
+DUK,Duke Energy,Language Complexity,CQ32014,13.51,3,2014,2014-09-30
+EIX,Edison International,Language Complexity,CQ32014,11.95,3,2014,2014-09-30
+ETR,Entergy,Language Complexity,CQ32014,13.3,3,2014,2014-09-30
+EXC,Exelon,Language Complexity,CQ32014,12.1,3,2014,2014-09-30
+NEE,NextEra Energy,Language Complexity,CQ32014,14.8,3,2014,2014-09-30
+SO,Southern Company,Language Complexity,CQ32014,11.18,3,2014,2014-09-30
+XEL,Xcel Energy,Language Complexity,CQ32014,13.12,3,2014,2014-09-30
+T,AT&T,Net Positivity,CQ42014,1.36,4,2014,2014-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42014,1.48,4,2014,2014-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42014,,4,2014,2014-12-31
+META,Meta Platforms,Net Positivity,CQ42014,1.43,4,2014,2014-12-31
+NFLX,Netflix,Net Positivity,CQ42014,0.5,4,2014,2014-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42014,1.23,4,2014,2014-12-31
+OMC,Omnicom Group,Net Positivity,CQ42014,0.63,4,2014,2014-12-31
+VZ,Verizon,Net Positivity,CQ42014,1.29,4,2014,2014-12-31
+AMZN,Amazon,Net Positivity,CQ42014,1.17,4,2014,2014-12-31
+AZO,AutoZone,Net Positivity,CQ42014,1.43,4,2014,2014-12-31
+BBY,Best Buy,Net Positivity,CQ42014,0.98,4,2014,2014-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42014,0.76,4,2014,2014-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42014,1.24,4,2014,2014-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42014,1.31,4,2014,2014-12-31
+F,Ford Motor Company,Net Positivity,CQ42014,0.14,4,2014,2014-12-31
+GM,General Motors,Net Positivity,CQ42014,0.23,4,2014,2014-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42014,1.51,4,2014,2014-12-31
+HAS,Hasbro,Net Positivity,CQ42014,1.19,4,2014,2014-12-31
+LOW,Lowe's,Net Positivity,CQ42014,2.11,4,2014,2014-12-31
+MCD,McDonald's,Net Positivity,CQ42014,0.82,4,2014,2014-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42014,2.71,4,2014,2014-12-31
+ROST,Ross Stores,Net Positivity,CQ42014,,4,2014,2014-12-31
+TJX,TJX Companies,Net Positivity,CQ42014,1.87,4,2014,2014-12-31
+TGT,Target,Net Positivity,CQ42014,1.72,4,2014,2014-12-31
+MO,Altria,Net Positivity,CQ42014,1.0,4,2014,2014-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42014,1.24,4,2014,2014-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42014,0.53,4,2014,2014-12-31
+CLX,Clorox,Net Positivity,CQ42014,1.31,4,2014,2014-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42014,1.23,4,2014,2014-12-31
+COST,Costco,Net Positivity,CQ42014,0.76,4,2014,2014-12-31
+GIS,General Mills,Net Positivity,CQ42014,1.84,4,2014,2014-12-31
+HSY,Hershey Company,Net Positivity,CQ42014,0.7,4,2014,2014-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42014,0.92,4,2014,2014-12-31
+KR,Kroger,Net Positivity,CQ42014,1.43,4,2014,2014-12-31
+MKC,McCormick & Company,Net Positivity,CQ42014,0.99,4,2014,2014-12-31
+PEP,PepsiCo,Net Positivity,CQ42014,1.53,4,2014,2014-12-31
+PG,Procter & Gamble,Net Positivity,CQ42014,1.96,4,2014,2014-12-31
+SYY,Sysco,Net Positivity,CQ42014,1.02,4,2014,2014-12-31
+WMT,Walmart,Net Positivity,CQ42014,2.1,4,2014,2014-12-31
+APA,APA Corporation,Net Positivity,CQ42014,0.54,4,2014,2014-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42014,,4,2014,2014-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42014,0.61,4,2014,2014-12-31
+EOG,EOG Resources,Net Positivity,CQ42014,1.05,4,2014,2014-12-31
+XOM,ExxonMobil,Net Positivity,CQ42014,1.26,4,2014,2014-12-31
+HAL,Halliburton,Net Positivity,CQ42014,0.84,4,2014,2014-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42014,0.51,4,2014,2014-12-31
+SLB,Schlumberger,Net Positivity,CQ42014,0.73,4,2014,2014-12-31
+VLO,Valero Energy,Net Positivity,CQ42014,0.6,4,2014,2014-12-31
+AFL,Aflac,Net Positivity,CQ42014,0.87,4,2014,2014-12-31
+ALL,Allstate,Net Positivity,CQ42014,0.68,4,2014,2014-12-31
+AXP,American Express,Net Positivity,CQ42014,0.92,4,2014,2014-12-31
+AIG,American International Group,Net Positivity,CQ42014,1.38,4,2014,2014-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42014,1.46,4,2014,2014-12-31
+AON,Aon plc,Net Positivity,CQ42014,1.89,4,2014,2014-12-31
+BK,BNY Mellon,Net Positivity,CQ42014,0.18,4,2014,2014-12-31
+BAC,Bank of America,Net Positivity,CQ42014,0.28,4,2014,2014-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42014,,4,2014,2014-12-31
+BLK,BlackRock,Net Positivity,CQ42014,1.46,4,2014,2014-12-31
+CME,CME Group,Net Positivity,CQ42014,1.19,4,2014,2014-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42014,,4,2014,2014-12-31
+CB,Chubb Limited,Net Positivity,CQ42014,0.63,4,2014,2014-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42014,0.46,4,2014,2014-12-31
+C,Citigroup,Net Positivity,CQ42014,0.53,4,2014,2014-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42014,1.88,4,2014,2014-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42014,0.69,4,2014,2014-12-31
+FISV,Fiserv,Net Positivity,CQ42014,1.51,4,2014,2014-12-31
+GS,Goldman Sachs,Net Positivity,CQ42014,0.37,4,2014,2014-12-31
+HIG,Hartford Financial,Net Positivity,CQ42014,1.18,4,2014,2014-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42014,1.01,4,2014,2014-12-31
+IVZ,Invesco,Net Positivity,CQ42014,1.49,4,2014,2014-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42014,0.84,4,2014,2014-12-31
+KEY,KeyCorp,Net Positivity,CQ42014,1.39,4,2014,2014-12-31
+MA,Mastercard,Net Positivity,CQ42014,0.44,4,2014,2014-12-31
+MET,MetLife,Net Positivity,CQ42014,0.57,4,2014,2014-12-31
+MS,Morgan Stanley,Net Positivity,CQ42014,1.23,4,2014,2014-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42014,1.22,4,2014,2014-12-31
+NTRS,Northern Trust,Net Positivity,CQ42014,0.62,4,2014,2014-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42014,0.34,4,2014,2014-12-31
+PRU,Prudential Financial,Net Positivity,CQ42014,0.51,4,2014,2014-12-31
+RF,Regions Financial,Net Positivity,CQ42014,0.75,4,2014,2014-12-31
+SPGI,S&P Global,Net Positivity,CQ42014,0.56,4,2014,2014-12-31
+STT,State Street,Net Positivity,CQ42014,0.3,4,2014,2014-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42014,,4,2014,2014-12-31
+TRV,Travelers Companies,Net Positivity,CQ42014,0.79,4,2014,2014-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42014,0.73,4,2014,2014-12-31
+V,Visa,Net Positivity,CQ42014,0.57,4,2014,2014-12-31
+WFC,Wells Fargo,Net Positivity,CQ42014,0.88,4,2014,2014-12-31
+ABBV,AbbVie,Net Positivity,CQ42014,1.24,4,2014,2014-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42014,1.25,4,2014,2014-12-31
+A,Agilent Technologies,Net Positivity,CQ42014,0.75,4,2014,2014-12-31
+AMGN,Amgen,Net Positivity,CQ42014,0.6,4,2014,2014-12-31
+BAX,Baxter International,Net Positivity,CQ42014,1.21,4,2014,2014-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42014,1.15,4,2014,2014-12-31
+BIIB,Biogen,Net Positivity,CQ42014,1.22,4,2014,2014-12-31
+BSX,Boston Scientific,Net Positivity,CQ42014,1.32,4,2014,2014-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42014,0.48,4,2014,2014-12-31
+CVS,CVS Health,Net Positivity,CQ42014,1.28,4,2014,2014-12-31
+COR,Cencora,Net Positivity,CQ42014,,4,2014,2014-12-31
+CI,Cigna,Net Positivity,CQ42014,1.92,4,2014,2014-12-31
+DVA,DaVita,Net Positivity,CQ42014,0.52,4,2014,2014-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42014,1.34,4,2014,2014-12-31
+LLY,Eli Lilly,Net Positivity,CQ42014,0.74,4,2014,2014-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42014,0.59,4,2014,2014-12-31
+HUM,Humana,Net Positivity,CQ42014,1.26,4,2014,2014-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42014,0.76,4,2014,2014-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42014,0.62,4,2014,2014-12-31
+LH,Labcorp,Net Positivity,CQ42014,0.78,4,2014,2014-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42014,1.28,4,2014,2014-12-31
+MDT,Medtronic,Net Positivity,CQ42014,1.38,4,2014,2014-12-31
+MRK,Merck & Co.,Net Positivity,CQ42014,0.58,4,2014,2014-12-31
+PFE,Pfizer,Net Positivity,CQ42014,0.97,4,2014,2014-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42014,1.67,4,2014,2014-12-31
+WAT,Waters Corporation,Net Positivity,CQ42014,1.24,4,2014,2014-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42014,1.4,4,2014,2014-12-31
+MMM,3M,Net Positivity,CQ42014,1.57,4,2014,2014-12-31
+AME,Ametek,Net Positivity,CQ42014,2.09,4,2014,2014-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42014,1.28,4,2014,2014-12-31
+BA,Boeing,Net Positivity,CQ42014,1.75,4,2014,2014-12-31
+CSX,CSX Corporation,Net Positivity,CQ42014,0.67,4,2014,2014-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42014,0.37,4,2014,2014-12-31
+CTAS,Cintas,Net Positivity,CQ42014,0.73,4,2014,2014-12-31
+CMI,Cummins,Net Positivity,CQ42014,0.67,4,2014,2014-12-31
+DE,Deere & Company,Net Positivity,CQ42014,0.16,4,2014,2014-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42014,0.3,4,2014,2014-12-31
+EMR,Emerson Electric,Net Positivity,CQ42014,0.81,4,2014,2014-12-31
+EFX,Equifax,Net Positivity,CQ42014,0.78,4,2014,2014-12-31
+EXPD,Expeditors International,Net Positivity,CQ42014,,4,2014,2014-12-31
+FDX,FedEx,Net Positivity,CQ42014,0.9,4,2014,2014-12-31
+GE,GE Aerospace,Net Positivity,CQ42014,1.45,4,2014,2014-12-31
+GD,General Dynamics,Net Positivity,CQ42014,0.99,4,2014,2014-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42014,1.12,4,2014,2014-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42014,0.88,4,2014,2014-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42014,0.35,4,2014,2014-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42014,0.98,4,2014,2014-12-31
+PCAR,Paccar,Net Positivity,CQ42014,1.7,4,2014,2014-12-31
+RTX,RTX Corporation,Net Positivity,CQ42014,0.47,4,2014,2014-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42014,0.7,4,2014,2014-12-31
+ROP,Roper Technologies,Net Positivity,CQ42014,1.1,4,2014,2014-12-31
+SNA,Snap-on,Net Positivity,CQ42014,1.95,4,2014,2014-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42014,1.3,4,2014,2014-12-31
+UPS,United Parcel Service,Net Positivity,CQ42014,1.41,4,2014,2014-12-31
+WM,Waste Management,Net Positivity,CQ42014,0.98,4,2014,2014-12-31
+ACN,Accenture,Net Positivity,CQ42014,1.66,4,2014,2014-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42014,2.18,4,2014,2014-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42014,1.0,4,2014,2014-12-31
+APH,Amphenol,Net Positivity,CQ42014,1.65,4,2014,2014-12-31
+ADI,Analog Devices,Net Positivity,CQ42014,0.95,4,2014,2014-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42014,1.42,4,2014,2014-12-31
+AMAT,Applied Materials,Net Positivity,CQ42014,2.86,4,2014,2014-12-31
+ADSK,Autodesk,Net Positivity,CQ42014,0.78,4,2014,2014-12-31
+AVGO,Broadcom,Net Positivity,CQ42014,0.61,4,2014,2014-12-31
+CSCO,Cisco,Net Positivity,CQ42014,1.38,4,2014,2014-12-31
+CTSH,Cognizant,Net Positivity,CQ42014,1.07,4,2014,2014-12-31
+HPQ,HP Inc.,Net Positivity,CQ42014,1.92,4,2014,2014-12-31
+IBM,IBM,Net Positivity,CQ42014,-0.18,4,2014,2014-12-31
+INTC,Intel,Net Positivity,CQ42014,1.15,4,2014,2014-12-31
+INTU,Intuit,Net Positivity,CQ42014,0.84,4,2014,2014-12-31
+LRCX,Lam Research,Net Positivity,CQ42014,1.23,4,2014,2014-12-31
+MU,Micron Technology,Net Positivity,CQ42014,,4,2014,2014-12-31
+MSFT,Microsoft,Net Positivity,CQ42014,1.56,4,2014,2014-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42014,1.14,4,2014,2014-12-31
+NTAP,NetApp,Net Positivity,CQ42014,0.67,4,2014,2014-12-31
+NVDA,Nvidia,Net Positivity,CQ42014,2.04,4,2014,2014-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42014,0.72,4,2014,2014-12-31
+TXN,Texas Instruments,Net Positivity,CQ42014,0.42,4,2014,2014-12-31
+APD,Air Products,Net Positivity,CQ42014,1.18,4,2014,2014-12-31
+AVY,Avery Dennison,Net Positivity,CQ42014,0.75,4,2014,2014-12-31
+ECL,Ecolab,Net Positivity,CQ42014,1.15,4,2014,2014-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42014,2.09,4,2014,2014-12-31
+IP,International Paper,Net Positivity,CQ42014,0.47,4,2014,2014-12-31
+LIN,Linde plc,Net Positivity,CQ42014,0.13,4,2014,2014-12-31
+NEM,Newmont,Net Positivity,CQ42014,1.07,4,2014,2014-12-31
+NUE,Nucor,Net Positivity,CQ42014,1.56,4,2014,2014-12-31
+AMT,American Tower,Net Positivity,CQ42014,1.03,4,2014,2014-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42014,0.62,4,2014,2014-12-31
+EQR,Equity Residential,Net Positivity,CQ42014,1.23,4,2014,2014-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42014,1.38,4,2014,2014-12-31
+IRM,Iron Mountain,Net Positivity,CQ42014,1.03,4,2014,2014-12-31
+PLD,Prologis,Net Positivity,CQ42014,0.53,4,2014,2014-12-31
+VTR,Ventas,Net Positivity,CQ42014,1.85,4,2014,2014-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42014,1.12,4,2014,2014-12-31
+AES,AES Corporation,Net Positivity,CQ42014,0.39,4,2014,2014-12-31
+AEE,Ameren,Net Positivity,CQ42014,0.89,4,2014,2014-12-31
+AEP,American Electric Power,Net Positivity,CQ42014,0.43,4,2014,2014-12-31
+CMS,CMS Energy,Net Positivity,CQ42014,1.28,4,2014,2014-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42014,1.27,4,2014,2014-12-31
+DUK,Duke Energy,Net Positivity,CQ42014,0.2,4,2014,2014-12-31
+EIX,Edison International,Net Positivity,CQ42014,-0.08,4,2014,2014-12-31
+ETR,Entergy,Net Positivity,CQ42014,0.26,4,2014,2014-12-31
+EXC,Exelon,Net Positivity,CQ42014,0.82,4,2014,2014-12-31
+NEE,NextEra Energy,Net Positivity,CQ42014,1.09,4,2014,2014-12-31
+SO,Southern Company,Net Positivity,CQ42014,0.25,4,2014,2014-12-31
+XEL,Xcel Energy,Net Positivity,CQ42014,0.76,4,2014,2014-12-31
+T,AT&T,Numeric Transeprency,CQ42014,2.5,4,2014,2014-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42014,1.4,4,2014,2014-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42014,,4,2014,2014-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42014,2.06,4,2014,2014-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42014,1.49,4,2014,2014-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42014,2.3,4,2014,2014-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42014,2.45,4,2014,2014-12-31
+VZ,Verizon,Numeric Transeprency,CQ42014,2.62,4,2014,2014-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42014,2.59,4,2014,2014-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42014,2.04,4,2014,2014-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42014,1.74,4,2014,2014-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42014,1.54,4,2014,2014-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42014,2.42,4,2014,2014-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42014,1.92,4,2014,2014-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42014,2.78,4,2014,2014-12-31
+GM,General Motors,Numeric Transeprency,CQ42014,3.89,4,2014,2014-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42014,4.1,4,2014,2014-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42014,1.81,4,2014,2014-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42014,2.13,4,2014,2014-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42014,1.45,4,2014,2014-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42014,1.31,4,2014,2014-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42014,,4,2014,2014-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42014,2.01,4,2014,2014-12-31
+TGT,Target,Numeric Transeprency,CQ42014,1.85,4,2014,2014-12-31
+MO,Altria,Numeric Transeprency,CQ42014,2.48,4,2014,2014-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42014,2.38,4,2014,2014-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42014,1.64,4,2014,2014-12-31
+CLX,Clorox,Numeric Transeprency,CQ42014,1.84,4,2014,2014-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42014,1.85,4,2014,2014-12-31
+COST,Costco,Numeric Transeprency,CQ42014,3.9,4,2014,2014-12-31
+GIS,General Mills,Numeric Transeprency,CQ42014,2.07,4,2014,2014-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42014,2.33,4,2014,2014-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42014,1.62,4,2014,2014-12-31
+KR,Kroger,Numeric Transeprency,CQ42014,1.3,4,2014,2014-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42014,2.18,4,2014,2014-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42014,2.1,4,2014,2014-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42014,1.94,4,2014,2014-12-31
+SYY,Sysco,Numeric Transeprency,CQ42014,1.4,4,2014,2014-12-31
+WMT,Walmart,Numeric Transeprency,CQ42014,2.59,4,2014,2014-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42014,2.88,4,2014,2014-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42014,,4,2014,2014-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42014,3.24,4,2014,2014-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42014,2.63,4,2014,2014-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42014,2.28,4,2014,2014-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42014,1.84,4,2014,2014-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42014,3.0,4,2014,2014-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42014,2.43,4,2014,2014-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42014,2.25,4,2014,2014-12-31
+AFL,Aflac,Numeric Transeprency,CQ42014,2.24,4,2014,2014-12-31
+ALL,Allstate,Numeric Transeprency,CQ42014,2.5,4,2014,2014-12-31
+AXP,American Express,Numeric Transeprency,CQ42014,1.59,4,2014,2014-12-31
+AIG,American International Group,Numeric Transeprency,CQ42014,2.23,4,2014,2014-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42014,3.03,4,2014,2014-12-31
+AON,Aon plc,Numeric Transeprency,CQ42014,2.54,4,2014,2014-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42014,1.44,4,2014,2014-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42014,3.2,4,2014,2014-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42014,,4,2014,2014-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42014,2.03,4,2014,2014-12-31
+CME,CME Group,Numeric Transeprency,CQ42014,2.15,4,2014,2014-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42014,,4,2014,2014-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42014,1.64,4,2014,2014-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42014,2.48,4,2014,2014-12-31
+C,Citigroup,Numeric Transeprency,CQ42014,2.44,4,2014,2014-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42014,2.46,4,2014,2014-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42014,2.46,4,2014,2014-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42014,2.34,4,2014,2014-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42014,1.54,4,2014,2014-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42014,2.66,4,2014,2014-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42014,1.97,4,2014,2014-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42014,1.47,4,2014,2014-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42014,2.48,4,2014,2014-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42014,2.46,4,2014,2014-12-31
+MA,Mastercard,Numeric Transeprency,CQ42014,1.74,4,2014,2014-12-31
+MET,MetLife,Numeric Transeprency,CQ42014,2.95,4,2014,2014-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42014,2.2,4,2014,2014-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42014,2.48,4,2014,2014-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42014,2.79,4,2014,2014-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42014,2.09,4,2014,2014-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42014,2.64,4,2014,2014-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42014,1.69,4,2014,2014-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42014,1.95,4,2014,2014-12-31
+STT,State Street,Numeric Transeprency,CQ42014,2.42,4,2014,2014-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42014,,4,2014,2014-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42014,2.06,4,2014,2014-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42014,2.22,4,2014,2014-12-31
+V,Visa,Numeric Transeprency,CQ42014,2.61,4,2014,2014-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42014,2.36,4,2014,2014-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42014,1.67,4,2014,2014-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42014,1.12,4,2014,2014-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42014,3.05,4,2014,2014-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42014,2.47,4,2014,2014-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42014,2.66,4,2014,2014-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42014,2.74,4,2014,2014-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42014,1.58,4,2014,2014-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42014,3.89,4,2014,2014-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42014,1.27,4,2014,2014-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42014,2.45,4,2014,2014-12-31
+COR,Cencora,Numeric Transeprency,CQ42014,,4,2014,2014-12-31
+CI,Cigna,Numeric Transeprency,CQ42014,2.38,4,2014,2014-12-31
+DVA,DaVita,Numeric Transeprency,CQ42014,2.47,4,2014,2014-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42014,1.85,4,2014,2014-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42014,2.26,4,2014,2014-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42014,2.45,4,2014,2014-12-31
+HUM,Humana,Numeric Transeprency,CQ42014,2.84,4,2014,2014-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42014,2.7,4,2014,2014-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42014,3.08,4,2014,2014-12-31
+LH,Labcorp,Numeric Transeprency,CQ42014,1.64,4,2014,2014-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42014,1.77,4,2014,2014-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42014,2.46,4,2014,2014-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42014,2.08,4,2014,2014-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42014,2.88,4,2014,2014-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42014,2.33,4,2014,2014-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42014,1.45,4,2014,2014-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42014,2.1,4,2014,2014-12-31
+MMM,3M,Numeric Transeprency,CQ42014,3.63,4,2014,2014-12-31
+AME,Ametek,Numeric Transeprency,CQ42014,3.72,4,2014,2014-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42014,1.34,4,2014,2014-12-31
+BA,Boeing,Numeric Transeprency,CQ42014,3.0,4,2014,2014-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42014,2.43,4,2014,2014-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42014,2.28,4,2014,2014-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42014,2.42,4,2014,2014-12-31
+CMI,Cummins,Numeric Transeprency,CQ42014,3.28,4,2014,2014-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42014,3.31,4,2014,2014-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42014,2.55,4,2014,2014-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42014,2.97,4,2014,2014-12-31
+EFX,Equifax,Numeric Transeprency,CQ42014,2.71,4,2014,2014-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42014,,4,2014,2014-12-31
+FDX,FedEx,Numeric Transeprency,CQ42014,1.21,4,2014,2014-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42014,4.56,4,2014,2014-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42014,3.02,4,2014,2014-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42014,3.15,4,2014,2014-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42014,3.24,4,2014,2014-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42014,2.14,4,2014,2014-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42014,2.91,4,2014,2014-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42014,2.48,4,2014,2014-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42014,2.77,4,2014,2014-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42014,3.3,4,2014,2014-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42014,2.47,4,2014,2014-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42014,3.32,4,2014,2014-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42014,2.84,4,2014,2014-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42014,1.83,4,2014,2014-12-31
+WM,Waste Management,Numeric Transeprency,CQ42014,2.73,4,2014,2014-12-31
+ACN,Accenture,Numeric Transeprency,CQ42014,2.91,4,2014,2014-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42014,2.4,4,2014,2014-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42014,2.02,4,2014,2014-12-31
+APH,Amphenol,Numeric Transeprency,CQ42014,2.17,4,2014,2014-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42014,2.34,4,2014,2014-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42014,3.13,4,2014,2014-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42014,2.61,4,2014,2014-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42014,1.4,4,2014,2014-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42014,2.52,4,2014,2014-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42014,2.56,4,2014,2014-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42014,1.91,4,2014,2014-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42014,3.74,4,2014,2014-12-31
+IBM,IBM,Numeric Transeprency,CQ42014,1.93,4,2014,2014-12-31
+INTC,Intel,Numeric Transeprency,CQ42014,1.6,4,2014,2014-12-31
+INTU,Intuit,Numeric Transeprency,CQ42014,1.71,4,2014,2014-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42014,2.8,4,2014,2014-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42014,,4,2014,2014-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42014,1.79,4,2014,2014-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42014,2.65,4,2014,2014-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42014,1.41,4,2014,2014-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42014,1.54,4,2014,2014-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42014,2.46,4,2014,2014-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42014,1.69,4,2014,2014-12-31
+APD,Air Products,Numeric Transeprency,CQ42014,3.26,4,2014,2014-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42014,1.38,4,2014,2014-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42014,1.84,4,2014,2014-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42014,2.22,4,2014,2014-12-31
+IP,International Paper,Numeric Transeprency,CQ42014,1.1,4,2014,2014-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42014,2.47,4,2014,2014-12-31
+NEM,Newmont,Numeric Transeprency,CQ42014,3.35,4,2014,2014-12-31
+NUE,Nucor,Numeric Transeprency,CQ42014,1.54,4,2014,2014-12-31
+AMT,American Tower,Numeric Transeprency,CQ42014,3.15,4,2014,2014-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42014,2.11,4,2014,2014-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42014,2.84,4,2014,2014-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42014,3.99,4,2014,2014-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42014,2.82,4,2014,2014-12-31
+PLD,Prologis,Numeric Transeprency,CQ42014,2.72,4,2014,2014-12-31
+VTR,Ventas,Numeric Transeprency,CQ42014,2.82,4,2014,2014-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42014,2.13,4,2014,2014-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42014,3.8,4,2014,2014-12-31
+AEE,Ameren,Numeric Transeprency,CQ42014,3.37,4,2014,2014-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42014,2.99,4,2014,2014-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42014,3.56,4,2014,2014-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42014,3.5,4,2014,2014-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42014,3.31,4,2014,2014-12-31
+EIX,Edison International,Numeric Transeprency,CQ42014,2.72,4,2014,2014-12-31
+ETR,Entergy,Numeric Transeprency,CQ42014,2.03,4,2014,2014-12-31
+EXC,Exelon,Numeric Transeprency,CQ42014,2.03,4,2014,2014-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42014,3.02,4,2014,2014-12-31
+SO,Southern Company,Numeric Transeprency,CQ42014,2.41,4,2014,2014-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42014,3.18,4,2014,2014-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42014,32.26,4,2014,2014-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42014,25.49,4,2014,2014-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42014,,4,2014,2014-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42014,31.11,4,2014,2014-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42014,2.63,4,2014,2014-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42014,41.18,4,2014,2014-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42014,31.58,4,2014,2014-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42014,33.33,4,2014,2014-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42014,29.55,4,2014,2014-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42014,18.52,4,2014,2014-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42014,27.59,4,2014,2014-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42014,33.33,4,2014,2014-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42014,23.33,4,2014,2014-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42014,36.67,4,2014,2014-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42014,45.0,4,2014,2014-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42014,42.11,4,2014,2014-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42014,45.45,4,2014,2014-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42014,83.33,4,2014,2014-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42014,40.0,4,2014,2014-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42014,51.85,4,2014,2014-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42014,19.44,4,2014,2014-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42014,,4,2014,2014-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42014,34.38,4,2014,2014-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42014,19.35,4,2014,2014-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42014,54.55,4,2014,2014-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42014,73.33,4,2014,2014-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42014,33.33,4,2014,2014-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42014,45.0,4,2014,2014-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42014,34.62,4,2014,2014-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42014,36.36,4,2014,2014-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42014,33.33,4,2014,2014-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42014,56.25,4,2014,2014-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42014,52.94,4,2014,2014-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42014,40.0,4,2014,2014-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42014,58.33,4,2014,2014-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42014,34.78,4,2014,2014-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42014,46.67,4,2014,2014-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42014,50.0,4,2014,2014-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42014,0.0,4,2014,2014-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42014,25.0,4,2014,2014-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42014,,4,2014,2014-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42014,15.63,4,2014,2014-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42014,31.43,4,2014,2014-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42014,66.67,4,2014,2014-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42014,29.03,4,2014,2014-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42014,28.0,4,2014,2014-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42014,34.38,4,2014,2014-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42014,61.11,4,2014,2014-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42014,52.63,4,2014,2014-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42014,26.92,4,2014,2014-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42014,24.14,4,2014,2014-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42014,27.27,4,2014,2014-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42014,20.0,4,2014,2014-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42014,47.37,4,2014,2014-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42014,52.63,4,2014,2014-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42014,42.31,4,2014,2014-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42014,,4,2014,2014-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42014,40.0,4,2014,2014-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42014,60.0,4,2014,2014-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42014,,4,2014,2014-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42014,26.09,4,2014,2014-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42014,33.33,4,2014,2014-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42014,52.0,4,2014,2014-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42014,22.22,4,2014,2014-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42014,25.0,4,2014,2014-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42014,33.33,4,2014,2014-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42014,45.83,4,2014,2014-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42014,42.11,4,2014,2014-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42014,68.75,4,2014,2014-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42014,60.0,4,2014,2014-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42014,35.71,4,2014,2014-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42014,26.92,4,2014,2014-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42014,29.73,4,2014,2014-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42014,38.1,4,2014,2014-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42014,28.0,4,2014,2014-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42014,61.54,4,2014,2014-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42014,44.44,4,2014,2014-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42014,40.0,4,2014,2014-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42014,36.84,4,2014,2014-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42014,35.71,4,2014,2014-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42014,41.67,4,2014,2014-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42014,57.89,4,2014,2014-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42014,,4,2014,2014-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42014,30.77,4,2014,2014-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42014,34.62,4,2014,2014-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42014,27.03,4,2014,2014-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42014,36.0,4,2014,2014-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42014,60.0,4,2014,2014-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42014,20.0,4,2014,2014-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42014,64.29,4,2014,2014-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42014,42.31,4,2014,2014-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42014,44.44,4,2014,2014-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42014,64.71,4,2014,2014-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42014,41.67,4,2014,2014-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42014,40.0,4,2014,2014-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42014,45.45,4,2014,2014-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42014,40.74,4,2014,2014-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42014,,4,2014,2014-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42014,26.67,4,2014,2014-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42014,29.41,4,2014,2014-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42014,33.33,4,2014,2014-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42014,45.45,4,2014,2014-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42014,51.72,4,2014,2014-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42014,62.5,4,2014,2014-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42014,31.25,4,2014,2014-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42014,40.0,4,2014,2014-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42014,43.48,4,2014,2014-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42014,52.38,4,2014,2014-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42014,30.43,4,2014,2014-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42014,56.52,4,2014,2014-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42014,45.45,4,2014,2014-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42014,47.06,4,2014,2014-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42014,36.84,4,2014,2014-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42014,31.03,4,2014,2014-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42014,38.89,4,2014,2014-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42014,33.33,4,2014,2014-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42014,50.0,4,2014,2014-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42014,39.29,4,2014,2014-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42014,57.14,4,2014,2014-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42014,29.63,4,2014,2014-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42014,35.29,4,2014,2014-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42014,14.29,4,2014,2014-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42014,38.46,4,2014,2014-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42014,52.17,4,2014,2014-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42014,23.08,4,2014,2014-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42014,50.0,4,2014,2014-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42014,,4,2014,2014-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42014,63.33,4,2014,2014-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42014,33.33,4,2014,2014-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42014,65.0,4,2014,2014-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42014,70.0,4,2014,2014-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42014,50.0,4,2014,2014-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42014,62.96,4,2014,2014-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42014,45.45,4,2014,2014-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42014,69.23,4,2014,2014-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42014,40.91,4,2014,2014-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42014,33.33,4,2014,2014-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42014,55.56,4,2014,2014-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42014,80.0,4,2014,2014-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42014,52.94,4,2014,2014-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42014,64.29,4,2014,2014-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42014,60.0,4,2014,2014-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42014,34.62,4,2014,2014-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42014,59.09,4,2014,2014-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42014,73.91,4,2014,2014-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42014,64.29,4,2014,2014-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42014,48.39,4,2014,2014-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42014,14.0,4,2014,2014-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42014,57.14,4,2014,2014-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42014,71.43,4,2014,2014-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42014,27.78,4,2014,2014-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42014,19.15,4,2014,2014-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42014,48.15,4,2014,2014-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42014,23.33,4,2014,2014-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42014,41.38,4,2014,2014-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42014,19.57,4,2014,2014-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42014,50.0,4,2014,2014-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42014,57.89,4,2014,2014-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42014,,4,2014,2014-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42014,25.0,4,2014,2014-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42014,55.56,4,2014,2014-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42014,27.5,4,2014,2014-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42014,16.67,4,2014,2014-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42014,16.33,4,2014,2014-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42014,40.54,4,2014,2014-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42014,45.45,4,2014,2014-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42014,77.78,4,2014,2014-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42014,71.43,4,2014,2014-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42014,45.45,4,2014,2014-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42014,66.67,4,2014,2014-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42014,40.0,4,2014,2014-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42014,31.82,4,2014,2014-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42014,47.37,4,2014,2014-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42014,50.0,4,2014,2014-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42014,57.14,4,2014,2014-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42014,50.0,4,2014,2014-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42014,50.0,4,2014,2014-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42014,40.0,4,2014,2014-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42014,50.0,4,2014,2014-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42014,16.67,4,2014,2014-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42014,66.67,4,2014,2014-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42014,58.33,4,2014,2014-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42014,8.33,4,2014,2014-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42014,18.18,4,2014,2014-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42014,18.75,4,2014,2014-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42014,21.43,4,2014,2014-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42014,28.57,4,2014,2014-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42014,45.0,4,2014,2014-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42014,52.63,4,2014,2014-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42014,42.11,4,2014,2014-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42014,25.0,4,2014,2014-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42014,42.86,4,2014,2014-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42014,55.56,4,2014,2014-12-31
+T,AT&T,Language Complexity,CQ42014,11.18,4,2014,2014-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42014,12.1,4,2014,2014-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42014,,4,2014,2014-12-31
+META,Meta Platforms,Language Complexity,CQ42014,12.17,4,2014,2014-12-31
+NFLX,Netflix,Language Complexity,CQ42014,10.94,4,2014,2014-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42014,13.89,4,2014,2014-12-31
+OMC,Omnicom Group,Language Complexity,CQ42014,12.7,4,2014,2014-12-31
+VZ,Verizon,Language Complexity,CQ42014,12.11,4,2014,2014-12-31
+AMZN,Amazon,Language Complexity,CQ42014,11.7,4,2014,2014-12-31
+AZO,AutoZone,Language Complexity,CQ42014,12.58,4,2014,2014-12-31
+BBY,Best Buy,Language Complexity,CQ42014,14.36,4,2014,2014-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42014,12.0,4,2014,2014-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42014,12.74,4,2014,2014-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42014,12.12,4,2014,2014-12-31
+F,Ford Motor Company,Language Complexity,CQ42014,11.59,4,2014,2014-12-31
+GM,General Motors,Language Complexity,CQ42014,12.23,4,2014,2014-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42014,12.52,4,2014,2014-12-31
+HAS,Hasbro,Language Complexity,CQ42014,13.38,4,2014,2014-12-31
+LOW,Lowe's,Language Complexity,CQ42014,12.31,4,2014,2014-12-31
+MCD,McDonald's,Language Complexity,CQ42014,13.33,4,2014,2014-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42014,13.62,4,2014,2014-12-31
+ROST,Ross Stores,Language Complexity,CQ42014,,4,2014,2014-12-31
+TJX,TJX Companies,Language Complexity,CQ42014,11.26,4,2014,2014-12-31
+TGT,Target,Language Complexity,CQ42014,13.68,4,2014,2014-12-31
+MO,Altria,Language Complexity,CQ42014,12.01,4,2014,2014-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42014,11.68,4,2014,2014-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42014,11.74,4,2014,2014-12-31
+CLX,Clorox,Language Complexity,CQ42014,12.17,4,2014,2014-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42014,13.23,4,2014,2014-12-31
+COST,Costco,Language Complexity,CQ42014,9.71,4,2014,2014-12-31
+GIS,General Mills,Language Complexity,CQ42014,12.14,4,2014,2014-12-31
+HSY,Hershey Company,Language Complexity,CQ42014,12.06,4,2014,2014-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42014,10.75,4,2014,2014-12-31
+KR,Kroger,Language Complexity,CQ42014,11.89,4,2014,2014-12-31
+MKC,McCormick & Company,Language Complexity,CQ42014,11.67,4,2014,2014-12-31
+PEP,PepsiCo,Language Complexity,CQ42014,13.68,4,2014,2014-12-31
+PG,Procter & Gamble,Language Complexity,CQ42014,13.14,4,2014,2014-12-31
+SYY,Sysco,Language Complexity,CQ42014,11.71,4,2014,2014-12-31
+WMT,Walmart,Language Complexity,CQ42014,15.82,4,2014,2014-12-31
+APA,APA Corporation,Language Complexity,CQ42014,11.59,4,2014,2014-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42014,,4,2014,2014-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42014,12.05,4,2014,2014-12-31
+EOG,EOG Resources,Language Complexity,CQ42014,11.26,4,2014,2014-12-31
+XOM,ExxonMobil,Language Complexity,CQ42014,12.52,4,2014,2014-12-31
+HAL,Halliburton,Language Complexity,CQ42014,13.16,4,2014,2014-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42014,12.35,4,2014,2014-12-31
+SLB,Schlumberger,Language Complexity,CQ42014,13.92,4,2014,2014-12-31
+VLO,Valero Energy,Language Complexity,CQ42014,11.33,4,2014,2014-12-31
+AFL,Aflac,Language Complexity,CQ42014,12.28,4,2014,2014-12-31
+ALL,Allstate,Language Complexity,CQ42014,12.27,4,2014,2014-12-31
+AXP,American Express,Language Complexity,CQ42014,14.29,4,2014,2014-12-31
+AIG,American International Group,Language Complexity,CQ42014,14.86,4,2014,2014-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42014,12.19,4,2014,2014-12-31
+AON,Aon plc,Language Complexity,CQ42014,13.74,4,2014,2014-12-31
+BK,BNY Mellon,Language Complexity,CQ42014,11.53,4,2014,2014-12-31
+BAC,Bank of America,Language Complexity,CQ42014,12.54,4,2014,2014-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42014,,4,2014,2014-12-31
+BLK,BlackRock,Language Complexity,CQ42014,13.56,4,2014,2014-12-31
+CME,CME Group,Language Complexity,CQ42014,11.98,4,2014,2014-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42014,,4,2014,2014-12-31
+CB,Chubb Limited,Language Complexity,CQ42014,12.1,4,2014,2014-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42014,12.52,4,2014,2014-12-31
+C,Citigroup,Language Complexity,CQ42014,11.49,4,2014,2014-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42014,12.81,4,2014,2014-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42014,14.06,4,2014,2014-12-31
+FISV,Fiserv,Language Complexity,CQ42014,12.49,4,2014,2014-12-31
+GS,Goldman Sachs,Language Complexity,CQ42014,11.37,4,2014,2014-12-31
+HIG,Hartford Financial,Language Complexity,CQ42014,12.86,4,2014,2014-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42014,12.79,4,2014,2014-12-31
+IVZ,Invesco,Language Complexity,CQ42014,11.63,4,2014,2014-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42014,12.48,4,2014,2014-12-31
+KEY,KeyCorp,Language Complexity,CQ42014,11.45,4,2014,2014-12-31
+MA,Mastercard,Language Complexity,CQ42014,11.15,4,2014,2014-12-31
+MET,MetLife,Language Complexity,CQ42014,12.76,4,2014,2014-12-31
+MS,Morgan Stanley,Language Complexity,CQ42014,12.21,4,2014,2014-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42014,12.69,4,2014,2014-12-31
+NTRS,Northern Trust,Language Complexity,CQ42014,11.83,4,2014,2014-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42014,11.24,4,2014,2014-12-31
+PRU,Prudential Financial,Language Complexity,CQ42014,14.26,4,2014,2014-12-31
+RF,Regions Financial,Language Complexity,CQ42014,12.24,4,2014,2014-12-31
+SPGI,S&P Global,Language Complexity,CQ42014,13.65,4,2014,2014-12-31
+STT,State Street,Language Complexity,CQ42014,12.5,4,2014,2014-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42014,,4,2014,2014-12-31
+TRV,Travelers Companies,Language Complexity,CQ42014,12.89,4,2014,2014-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42014,11.18,4,2014,2014-12-31
+V,Visa,Language Complexity,CQ42014,12.6,4,2014,2014-12-31
+WFC,Wells Fargo,Language Complexity,CQ42014,12.73,4,2014,2014-12-31
+ABBV,AbbVie,Language Complexity,CQ42014,12.53,4,2014,2014-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42014,12.8,4,2014,2014-12-31
+A,Agilent Technologies,Language Complexity,CQ42014,12.15,4,2014,2014-12-31
+AMGN,Amgen,Language Complexity,CQ42014,10.89,4,2014,2014-12-31
+BAX,Baxter International,Language Complexity,CQ42014,14.36,4,2014,2014-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42014,11.48,4,2014,2014-12-31
+BIIB,Biogen,Language Complexity,CQ42014,11.45,4,2014,2014-12-31
+BSX,Boston Scientific,Language Complexity,CQ42014,12.6,4,2014,2014-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42014,11.58,4,2014,2014-12-31
+CVS,CVS Health,Language Complexity,CQ42014,13.25,4,2014,2014-12-31
+COR,Cencora,Language Complexity,CQ42014,,4,2014,2014-12-31
+CI,Cigna,Language Complexity,CQ42014,14.46,4,2014,2014-12-31
+DVA,DaVita,Language Complexity,CQ42014,11.18,4,2014,2014-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42014,13.44,4,2014,2014-12-31
+LLY,Eli Lilly,Language Complexity,CQ42014,12.64,4,2014,2014-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42014,12.48,4,2014,2014-12-31
+HUM,Humana,Language Complexity,CQ42014,13.73,4,2014,2014-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42014,12.61,4,2014,2014-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42014,12.61,4,2014,2014-12-31
+LH,Labcorp,Language Complexity,CQ42014,13.24,4,2014,2014-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42014,14.77,4,2014,2014-12-31
+MDT,Medtronic,Language Complexity,CQ42014,13.91,4,2014,2014-12-31
+MRK,Merck & Co.,Language Complexity,CQ42014,12.52,4,2014,2014-12-31
+PFE,Pfizer,Language Complexity,CQ42014,13.19,4,2014,2014-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42014,14.66,4,2014,2014-12-31
+WAT,Waters Corporation,Language Complexity,CQ42014,13.76,4,2014,2014-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42014,14.19,4,2014,2014-12-31
+MMM,3M,Language Complexity,CQ42014,11.81,4,2014,2014-12-31
+AME,Ametek,Language Complexity,CQ42014,12.92,4,2014,2014-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42014,12.81,4,2014,2014-12-31
+BA,Boeing,Language Complexity,CQ42014,12.33,4,2014,2014-12-31
+CSX,CSX Corporation,Language Complexity,CQ42014,11.83,4,2014,2014-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42014,9.65,4,2014,2014-12-31
+CTAS,Cintas,Language Complexity,CQ42014,12.16,4,2014,2014-12-31
+CMI,Cummins,Language Complexity,CQ42014,10.79,4,2014,2014-12-31
+DE,Deere & Company,Language Complexity,CQ42014,11.19,4,2014,2014-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42014,10.63,4,2014,2014-12-31
+EMR,Emerson Electric,Language Complexity,CQ42014,10.76,4,2014,2014-12-31
+EFX,Equifax,Language Complexity,CQ42014,10.53,4,2014,2014-12-31
+EXPD,Expeditors International,Language Complexity,CQ42014,,4,2014,2014-12-31
+FDX,FedEx,Language Complexity,CQ42014,11.12,4,2014,2014-12-31
+GE,GE Aerospace,Language Complexity,CQ42014,11.6,4,2014,2014-12-31
+GD,General Dynamics,Language Complexity,CQ42014,10.5,4,2014,2014-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42014,12.18,4,2014,2014-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42014,13.1,4,2014,2014-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42014,12.45,4,2014,2014-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42014,12.61,4,2014,2014-12-31
+PCAR,Paccar,Language Complexity,CQ42014,10.39,4,2014,2014-12-31
+RTX,RTX Corporation,Language Complexity,CQ42014,10.79,4,2014,2014-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42014,11.12,4,2014,2014-12-31
+ROP,Roper Technologies,Language Complexity,CQ42014,11.21,4,2014,2014-12-31
+SNA,Snap-on,Language Complexity,CQ42014,12.09,4,2014,2014-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42014,13.07,4,2014,2014-12-31
+UPS,United Parcel Service,Language Complexity,CQ42014,11.2,4,2014,2014-12-31
+WM,Waste Management,Language Complexity,CQ42014,11.13,4,2014,2014-12-31
+ACN,Accenture,Language Complexity,CQ42014,12.11,4,2014,2014-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42014,13.48,4,2014,2014-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42014,12.6,4,2014,2014-12-31
+APH,Amphenol,Language Complexity,CQ42014,14.32,4,2014,2014-12-31
+ADI,Analog Devices,Language Complexity,CQ42014,12.74,4,2014,2014-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42014,11.3,4,2014,2014-12-31
+AMAT,Applied Materials,Language Complexity,CQ42014,10.9,4,2014,2014-12-31
+ADSK,Autodesk,Language Complexity,CQ42014,11.46,4,2014,2014-12-31
+AVGO,Broadcom,Language Complexity,CQ42014,11.48,4,2014,2014-12-31
+CSCO,Cisco,Language Complexity,CQ42014,12.02,4,2014,2014-12-31
+CTSH,Cognizant,Language Complexity,CQ42014,12.48,4,2014,2014-12-31
+HPQ,HP Inc.,Language Complexity,CQ42014,13.58,4,2014,2014-12-31
+IBM,IBM,Language Complexity,CQ42014,11.97,4,2014,2014-12-31
+INTC,Intel,Language Complexity,CQ42014,10.25,4,2014,2014-12-31
+INTU,Intuit,Language Complexity,CQ42014,10.89,4,2014,2014-12-31
+LRCX,Lam Research,Language Complexity,CQ42014,13.35,4,2014,2014-12-31
+MU,Micron Technology,Language Complexity,CQ42014,,4,2014,2014-12-31
+MSFT,Microsoft,Language Complexity,CQ42014,12.73,4,2014,2014-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42014,12.04,4,2014,2014-12-31
+NTAP,NetApp,Language Complexity,CQ42014,12.54,4,2014,2014-12-31
+NVDA,Nvidia,Language Complexity,CQ42014,12.28,4,2014,2014-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42014,9.86,4,2014,2014-12-31
+TXN,Texas Instruments,Language Complexity,CQ42014,11.25,4,2014,2014-12-31
+APD,Air Products,Language Complexity,CQ42014,10.83,4,2014,2014-12-31
+AVY,Avery Dennison,Language Complexity,CQ42014,11.55,4,2014,2014-12-31
+ECL,Ecolab,Language Complexity,CQ42014,12.26,4,2014,2014-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42014,13.28,4,2014,2014-12-31
+IP,International Paper,Language Complexity,CQ42014,11.27,4,2014,2014-12-31
+LIN,Linde plc,Language Complexity,CQ42014,11.92,4,2014,2014-12-31
+NEM,Newmont,Language Complexity,CQ42014,10.93,4,2014,2014-12-31
+NUE,Nucor,Language Complexity,CQ42014,12.36,4,2014,2014-12-31
+AMT,American Tower,Language Complexity,CQ42014,15.06,4,2014,2014-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42014,12.21,4,2014,2014-12-31
+EQR,Equity Residential,Language Complexity,CQ42014,11.47,4,2014,2014-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42014,13.16,4,2014,2014-12-31
+IRM,Iron Mountain,Language Complexity,CQ42014,13.71,4,2014,2014-12-31
+PLD,Prologis,Language Complexity,CQ42014,10.38,4,2014,2014-12-31
+VTR,Ventas,Language Complexity,CQ42014,13.08,4,2014,2014-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42014,11.96,4,2014,2014-12-31
+AES,AES Corporation,Language Complexity,CQ42014,11.8,4,2014,2014-12-31
+AEE,Ameren,Language Complexity,CQ42014,14.38,4,2014,2014-12-31
+AEP,American Electric Power,Language Complexity,CQ42014,12.79,4,2014,2014-12-31
+CMS,CMS Energy,Language Complexity,CQ42014,12.01,4,2014,2014-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42014,13.56,4,2014,2014-12-31
+DUK,Duke Energy,Language Complexity,CQ42014,13.71,4,2014,2014-12-31
+EIX,Edison International,Language Complexity,CQ42014,11.41,4,2014,2014-12-31
+ETR,Entergy,Language Complexity,CQ42014,12.02,4,2014,2014-12-31
+EXC,Exelon,Language Complexity,CQ42014,12.76,4,2014,2014-12-31
+NEE,NextEra Energy,Language Complexity,CQ42014,14.41,4,2014,2014-12-31
+SO,Southern Company,Language Complexity,CQ42014,11.27,4,2014,2014-12-31
+XEL,Xcel Energy,Language Complexity,CQ42014,11.09,4,2014,2014-12-31
+T,AT&T,Net Positivity,CQ12015,1.14,1,2015,2015-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12015,0.97,1,2015,2015-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12015,,1,2015,2015-03-31
+META,Meta Platforms,Net Positivity,CQ12015,1.74,1,2015,2015-03-31
+NFLX,Netflix,Net Positivity,CQ12015,0.98,1,2015,2015-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12015,1.3,1,2015,2015-03-31
+OMC,Omnicom Group,Net Positivity,CQ12015,0.75,1,2015,2015-03-31
+VZ,Verizon,Net Positivity,CQ12015,1.2,1,2015,2015-03-31
+AMZN,Amazon,Net Positivity,CQ12015,0.84,1,2015,2015-03-31
+AZO,AutoZone,Net Positivity,CQ12015,1.24,1,2015,2015-03-31
+BBY,Best Buy,Net Positivity,CQ12015,1.03,1,2015,2015-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12015,0.97,1,2015,2015-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12015,1.32,1,2015,2015-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12015,1.65,1,2015,2015-03-31
+F,Ford Motor Company,Net Positivity,CQ12015,0.76,1,2015,2015-03-31
+GM,General Motors,Net Positivity,CQ12015,0.43,1,2015,2015-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12015,1.6,1,2015,2015-03-31
+HAS,Hasbro,Net Positivity,CQ12015,1.56,1,2015,2015-03-31
+LOW,Lowe's,Net Positivity,CQ12015,2.13,1,2015,2015-03-31
+MCD,McDonald's,Net Positivity,CQ12015,0.75,1,2015,2015-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12015,2.52,1,2015,2015-03-31
+ROST,Ross Stores,Net Positivity,CQ12015,1.22,1,2015,2015-03-31
+TJX,TJX Companies,Net Positivity,CQ12015,1.8,1,2015,2015-03-31
+TGT,Target,Net Positivity,CQ12015,2.0,1,2015,2015-03-31
+MO,Altria,Net Positivity,CQ12015,1.67,1,2015,2015-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12015,1.03,1,2015,2015-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12015,0.89,1,2015,2015-03-31
+CLX,Clorox,Net Positivity,CQ12015,1.62,1,2015,2015-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12015,0.71,1,2015,2015-03-31
+COST,Costco,Net Positivity,CQ12015,0.8,1,2015,2015-03-31
+GIS,General Mills,Net Positivity,CQ12015,1.38,1,2015,2015-03-31
+HSY,Hershey Company,Net Positivity,CQ12015,1.03,1,2015,2015-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12015,0.96,1,2015,2015-03-31
+KR,Kroger,Net Positivity,CQ12015,1.54,1,2015,2015-03-31
+MKC,McCormick & Company,Net Positivity,CQ12015,1.58,1,2015,2015-03-31
+PEP,PepsiCo,Net Positivity,CQ12015,1.04,1,2015,2015-03-31
+PG,Procter & Gamble,Net Positivity,CQ12015,1.09,1,2015,2015-03-31
+SYY,Sysco,Net Positivity,CQ12015,0.51,1,2015,2015-03-31
+WMT,Walmart,Net Positivity,CQ12015,1.9,1,2015,2015-03-31
+APA,APA Corporation,Net Positivity,CQ12015,0.45,1,2015,2015-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12015,,1,2015,2015-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12015,0.54,1,2015,2015-03-31
+EOG,EOG Resources,Net Positivity,CQ12015,1.6,1,2015,2015-03-31
+XOM,ExxonMobil,Net Positivity,CQ12015,0.57,1,2015,2015-03-31
+HAL,Halliburton,Net Positivity,CQ12015,-0.31,1,2015,2015-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12015,0.78,1,2015,2015-03-31
+SLB,Schlumberger,Net Positivity,CQ12015,0.31,1,2015,2015-03-31
+VLO,Valero Energy,Net Positivity,CQ12015,0.76,1,2015,2015-03-31
+AFL,Aflac,Net Positivity,CQ12015,0.41,1,2015,2015-03-31
+ALL,Allstate,Net Positivity,CQ12015,0.37,1,2015,2015-03-31
+AXP,American Express,Net Positivity,CQ12015,1.21,1,2015,2015-03-31
+AIG,American International Group,Net Positivity,CQ12015,0.03,1,2015,2015-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12015,1.78,1,2015,2015-03-31
+AON,Aon plc,Net Positivity,CQ12015,1.35,1,2015,2015-03-31
+BK,BNY Mellon,Net Positivity,CQ12015,0.78,1,2015,2015-03-31
+BAC,Bank of America,Net Positivity,CQ12015,0.14,1,2015,2015-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12015,,1,2015,2015-03-31
+BLK,BlackRock,Net Positivity,CQ12015,0.92,1,2015,2015-03-31
+CME,CME Group,Net Positivity,CQ12015,0.42,1,2015,2015-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12015,,1,2015,2015-03-31
+CB,Chubb Limited,Net Positivity,CQ12015,0.28,1,2015,2015-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12015,0.62,1,2015,2015-03-31
+C,Citigroup,Net Positivity,CQ12015,0.21,1,2015,2015-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12015,0.86,1,2015,2015-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12015,0.64,1,2015,2015-03-31
+FISV,Fiserv,Net Positivity,CQ12015,1.64,1,2015,2015-03-31
+GS,Goldman Sachs,Net Positivity,CQ12015,0.36,1,2015,2015-03-31
+HIG,Hartford Financial,Net Positivity,CQ12015,1.06,1,2015,2015-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12015,0.55,1,2015,2015-03-31
+IVZ,Invesco,Net Positivity,CQ12015,0.91,1,2015,2015-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12015,0.15,1,2015,2015-03-31
+KEY,KeyCorp,Net Positivity,CQ12015,1.59,1,2015,2015-03-31
+MA,Mastercard,Net Positivity,CQ12015,0.52,1,2015,2015-03-31
+MET,MetLife,Net Positivity,CQ12015,0.64,1,2015,2015-03-31
+MS,Morgan Stanley,Net Positivity,CQ12015,0.91,1,2015,2015-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12015,2.01,1,2015,2015-03-31
+NTRS,Northern Trust,Net Positivity,CQ12015,0.27,1,2015,2015-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12015,0.53,1,2015,2015-03-31
+PRU,Prudential Financial,Net Positivity,CQ12015,0.29,1,2015,2015-03-31
+RF,Regions Financial,Net Positivity,CQ12015,0.49,1,2015,2015-03-31
+SPGI,S&P Global,Net Positivity,CQ12015,0.72,1,2015,2015-03-31
+STT,State Street,Net Positivity,CQ12015,0.5,1,2015,2015-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12015,,1,2015,2015-03-31
+TRV,Travelers Companies,Net Positivity,CQ12015,0.8,1,2015,2015-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12015,1.14,1,2015,2015-03-31
+V,Visa,Net Positivity,CQ12015,0.47,1,2015,2015-03-31
+WFC,Wells Fargo,Net Positivity,CQ12015,1.01,1,2015,2015-03-31
+ABBV,AbbVie,Net Positivity,CQ12015,1.51,1,2015,2015-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12015,1.56,1,2015,2015-03-31
+A,Agilent Technologies,Net Positivity,CQ12015,0.93,1,2015,2015-03-31
+AMGN,Amgen,Net Positivity,CQ12015,0.82,1,2015,2015-03-31
+BAX,Baxter International,Net Positivity,CQ12015,1.58,1,2015,2015-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12015,1.55,1,2015,2015-03-31
+BIIB,Biogen,Net Positivity,CQ12015,0.77,1,2015,2015-03-31
+BSX,Boston Scientific,Net Positivity,CQ12015,1.33,1,2015,2015-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12015,1.81,1,2015,2015-03-31
+CVS,CVS Health,Net Positivity,CQ12015,1.29,1,2015,2015-03-31
+COR,Cencora,Net Positivity,CQ12015,,1,2015,2015-03-31
+CI,Cigna,Net Positivity,CQ12015,2.12,1,2015,2015-03-31
+DVA,DaVita,Net Positivity,CQ12015,0.25,1,2015,2015-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12015,1.89,1,2015,2015-03-31
+LLY,Eli Lilly,Net Positivity,CQ12015,0.59,1,2015,2015-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12015,0.69,1,2015,2015-03-31
+HUM,Humana,Net Positivity,CQ12015,0.59,1,2015,2015-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12015,0.6,1,2015,2015-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12015,1.59,1,2015,2015-03-31
+LH,Labcorp,Net Positivity,CQ12015,1.37,1,2015,2015-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12015,1.02,1,2015,2015-03-31
+MDT,Medtronic,Net Positivity,CQ12015,1.27,1,2015,2015-03-31
+MRK,Merck & Co.,Net Positivity,CQ12015,1.23,1,2015,2015-03-31
+PFE,Pfizer,Net Positivity,CQ12015,1.02,1,2015,2015-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12015,1.89,1,2015,2015-03-31
+WAT,Waters Corporation,Net Positivity,CQ12015,1.15,1,2015,2015-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12015,1.14,1,2015,2015-03-31
+MMM,3M,Net Positivity,CQ12015,1.66,1,2015,2015-03-31
+AME,Ametek,Net Positivity,CQ12015,1.68,1,2015,2015-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12015,1.45,1,2015,2015-03-31
+BA,Boeing,Net Positivity,CQ12015,1.62,1,2015,2015-03-31
+CSX,CSX Corporation,Net Positivity,CQ12015,0.93,1,2015,2015-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12015,0.25,1,2015,2015-03-31
+CTAS,Cintas,Net Positivity,CQ12015,0.71,1,2015,2015-03-31
+CMI,Cummins,Net Positivity,CQ12015,0.23,1,2015,2015-03-31
+DE,Deere & Company,Net Positivity,CQ12015,0.24,1,2015,2015-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12015,-0.1,1,2015,2015-03-31
+EMR,Emerson Electric,Net Positivity,CQ12015,-0.14,1,2015,2015-03-31
+EFX,Equifax,Net Positivity,CQ12015,1.14,1,2015,2015-03-31
+EXPD,Expeditors International,Net Positivity,CQ12015,,1,2015,2015-03-31
+FDX,FedEx,Net Positivity,CQ12015,1.02,1,2015,2015-03-31
+GE,GE Aerospace,Net Positivity,CQ12015,0.95,1,2015,2015-03-31
+GD,General Dynamics,Net Positivity,CQ12015,0.99,1,2015,2015-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12015,1.34,1,2015,2015-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12015,0.64,1,2015,2015-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12015,0.78,1,2015,2015-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12015,1.08,1,2015,2015-03-31
+PCAR,Paccar,Net Positivity,CQ12015,1.64,1,2015,2015-03-31
+RTX,RTX Corporation,Net Positivity,CQ12015,0.76,1,2015,2015-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12015,0.7,1,2015,2015-03-31
+ROP,Roper Technologies,Net Positivity,CQ12015,0.79,1,2015,2015-03-31
+SNA,Snap-on,Net Positivity,CQ12015,2.38,1,2015,2015-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12015,1.84,1,2015,2015-03-31
+UPS,United Parcel Service,Net Positivity,CQ12015,0.77,1,2015,2015-03-31
+WM,Waste Management,Net Positivity,CQ12015,0.78,1,2015,2015-03-31
+ACN,Accenture,Net Positivity,CQ12015,1.62,1,2015,2015-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12015,1.89,1,2015,2015-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12015,1.58,1,2015,2015-03-31
+APH,Amphenol,Net Positivity,CQ12015,1.95,1,2015,2015-03-31
+ADI,Analog Devices,Net Positivity,CQ12015,1.26,1,2015,2015-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12015,1.52,1,2015,2015-03-31
+AMAT,Applied Materials,Net Positivity,CQ12015,1.95,1,2015,2015-03-31
+ADSK,Autodesk,Net Positivity,CQ12015,0.87,1,2015,2015-03-31
+AVGO,Broadcom,Net Positivity,CQ12015,0.66,1,2015,2015-03-31
+CSCO,Cisco,Net Positivity,CQ12015,1.47,1,2015,2015-03-31
+CTSH,Cognizant,Net Positivity,CQ12015,1.46,1,2015,2015-03-31
+HPQ,HP Inc.,Net Positivity,CQ12015,1.27,1,2015,2015-03-31
+IBM,IBM,Net Positivity,CQ12015,0.67,1,2015,2015-03-31
+INTC,Intel,Net Positivity,CQ12015,1.06,1,2015,2015-03-31
+INTU,Intuit,Net Positivity,CQ12015,0.43,1,2015,2015-03-31
+LRCX,Lam Research,Net Positivity,CQ12015,1.15,1,2015,2015-03-31
+MU,Micron Technology,Net Positivity,CQ12015,1.34,1,2015,2015-03-31
+MSFT,Microsoft,Net Positivity,CQ12015,1.21,1,2015,2015-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12015,0.67,1,2015,2015-03-31
+NTAP,NetApp,Net Positivity,CQ12015,0.55,1,2015,2015-03-31
+NVDA,Nvidia,Net Positivity,CQ12015,1.2,1,2015,2015-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12015,0.85,1,2015,2015-03-31
+TXN,Texas Instruments,Net Positivity,CQ12015,1.2,1,2015,2015-03-31
+APD,Air Products,Net Positivity,CQ12015,1.27,1,2015,2015-03-31
+AVY,Avery Dennison,Net Positivity,CQ12015,0.17,1,2015,2015-03-31
+ECL,Ecolab,Net Positivity,CQ12015,1.46,1,2015,2015-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12015,2.48,1,2015,2015-03-31
+IP,International Paper,Net Positivity,CQ12015,1.08,1,2015,2015-03-31
+LIN,Linde plc,Net Positivity,CQ12015,0.34,1,2015,2015-03-31
+NEM,Newmont,Net Positivity,CQ12015,1.32,1,2015,2015-03-31
+NUE,Nucor,Net Positivity,CQ12015,0.91,1,2015,2015-03-31
+AMT,American Tower,Net Positivity,CQ12015,1.1,1,2015,2015-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12015,0.36,1,2015,2015-03-31
+EQR,Equity Residential,Net Positivity,CQ12015,1.23,1,2015,2015-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12015,0.46,1,2015,2015-03-31
+IRM,Iron Mountain,Net Positivity,CQ12015,1.19,1,2015,2015-03-31
+PLD,Prologis,Net Positivity,CQ12015,0.77,1,2015,2015-03-31
+VTR,Ventas,Net Positivity,CQ12015,1.78,1,2015,2015-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12015,1.03,1,2015,2015-03-31
+AES,AES Corporation,Net Positivity,CQ12015,0.45,1,2015,2015-03-31
+AEE,Ameren,Net Positivity,CQ12015,0.68,1,2015,2015-03-31
+AEP,American Electric Power,Net Positivity,CQ12015,1.29,1,2015,2015-03-31
+CMS,CMS Energy,Net Positivity,CQ12015,1.2,1,2015,2015-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12015,1.73,1,2015,2015-03-31
+DUK,Duke Energy,Net Positivity,CQ12015,0.25,1,2015,2015-03-31
+EIX,Edison International,Net Positivity,CQ12015,0.25,1,2015,2015-03-31
+ETR,Entergy,Net Positivity,CQ12015,0.6,1,2015,2015-03-31
+EXC,Exelon,Net Positivity,CQ12015,0.23,1,2015,2015-03-31
+NEE,NextEra Energy,Net Positivity,CQ12015,0.98,1,2015,2015-03-31
+SO,Southern Company,Net Positivity,CQ12015,0.43,1,2015,2015-03-31
+XEL,Xcel Energy,Net Positivity,CQ12015,1.45,1,2015,2015-03-31
+T,AT&T,Numeric Transeprency,CQ12015,1.97,1,2015,2015-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12015,1.93,1,2015,2015-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12015,,1,2015,2015-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12015,2.16,1,2015,2015-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12015,1.53,1,2015,2015-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12015,2.15,1,2015,2015-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12015,3.5,1,2015,2015-03-31
+VZ,Verizon,Numeric Transeprency,CQ12015,3.99,1,2015,2015-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12015,3.18,1,2015,2015-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12015,2.45,1,2015,2015-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12015,2.48,1,2015,2015-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12015,1.77,1,2015,2015-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12015,3.03,1,2015,2015-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12015,1.48,1,2015,2015-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12015,2.99,1,2015,2015-03-31
+GM,General Motors,Numeric Transeprency,CQ12015,5.25,1,2015,2015-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12015,4.45,1,2015,2015-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12015,3.04,1,2015,2015-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12015,2.95,1,2015,2015-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12015,1.83,1,2015,2015-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12015,1.3,1,2015,2015-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12015,3.54,1,2015,2015-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12015,3.48,1,2015,2015-03-31
+TGT,Target,Numeric Transeprency,CQ12015,1.6,1,2015,2015-03-31
+MO,Altria,Numeric Transeprency,CQ12015,3.21,1,2015,2015-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12015,2.93,1,2015,2015-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12015,1.64,1,2015,2015-03-31
+CLX,Clorox,Numeric Transeprency,CQ12015,1.54,1,2015,2015-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12015,2.05,1,2015,2015-03-31
+COST,Costco,Numeric Transeprency,CQ12015,4.31,1,2015,2015-03-31
+GIS,General Mills,Numeric Transeprency,CQ12015,2.49,1,2015,2015-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12015,2.55,1,2015,2015-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12015,2.47,1,2015,2015-03-31
+KR,Kroger,Numeric Transeprency,CQ12015,2.4,1,2015,2015-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12015,2.92,1,2015,2015-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12015,2.53,1,2015,2015-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12015,2.13,1,2015,2015-03-31
+SYY,Sysco,Numeric Transeprency,CQ12015,1.62,1,2015,2015-03-31
+WMT,Walmart,Numeric Transeprency,CQ12015,3.37,1,2015,2015-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12015,2.29,1,2015,2015-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12015,,1,2015,2015-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12015,2.93,1,2015,2015-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12015,3.62,1,2015,2015-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12015,2.96,1,2015,2015-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12015,1.45,1,2015,2015-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12015,4.45,1,2015,2015-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12015,2.71,1,2015,2015-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12015,2.32,1,2015,2015-03-31
+AFL,Aflac,Numeric Transeprency,CQ12015,1.67,1,2015,2015-03-31
+ALL,Allstate,Numeric Transeprency,CQ12015,2.97,1,2015,2015-03-31
+AXP,American Express,Numeric Transeprency,CQ12015,1.72,1,2015,2015-03-31
+AIG,American International Group,Numeric Transeprency,CQ12015,2.62,1,2015,2015-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12015,2.16,1,2015,2015-03-31
+AON,Aon plc,Numeric Transeprency,CQ12015,3.33,1,2015,2015-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12015,2.02,1,2015,2015-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12015,3.23,1,2015,2015-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12015,,1,2015,2015-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12015,2.79,1,2015,2015-03-31
+CME,CME Group,Numeric Transeprency,CQ12015,2.89,1,2015,2015-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12015,,1,2015,2015-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12015,2.3,1,2015,2015-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12015,2.73,1,2015,2015-03-31
+C,Citigroup,Numeric Transeprency,CQ12015,2.93,1,2015,2015-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12015,4.02,1,2015,2015-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12015,3.13,1,2015,2015-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12015,2.95,1,2015,2015-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12015,1.65,1,2015,2015-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12015,4.4,1,2015,2015-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12015,2.16,1,2015,2015-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12015,1.69,1,2015,2015-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12015,2.69,1,2015,2015-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12015,2.47,1,2015,2015-03-31
+MA,Mastercard,Numeric Transeprency,CQ12015,2.66,1,2015,2015-03-31
+MET,MetLife,Numeric Transeprency,CQ12015,4.83,1,2015,2015-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12015,3.32,1,2015,2015-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12015,2.91,1,2015,2015-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12015,3.11,1,2015,2015-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12015,2.91,1,2015,2015-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12015,3.41,1,2015,2015-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12015,2.43,1,2015,2015-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12015,3.2,1,2015,2015-03-31
+STT,State Street,Numeric Transeprency,CQ12015,3.59,1,2015,2015-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12015,,1,2015,2015-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12015,2.1,1,2015,2015-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12015,3.13,1,2015,2015-03-31
+V,Visa,Numeric Transeprency,CQ12015,1.98,1,2015,2015-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12015,2.16,1,2015,2015-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12015,2.51,1,2015,2015-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12015,2.15,1,2015,2015-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12015,1.96,1,2015,2015-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12015,3.36,1,2015,2015-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12015,3.38,1,2015,2015-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12015,2.19,1,2015,2015-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12015,2.06,1,2015,2015-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12015,5.06,1,2015,2015-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12015,1.42,1,2015,2015-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12015,2.57,1,2015,2015-03-31
+COR,Cencora,Numeric Transeprency,CQ12015,,1,2015,2015-03-31
+CI,Cigna,Numeric Transeprency,CQ12015,3.42,1,2015,2015-03-31
+DVA,DaVita,Numeric Transeprency,CQ12015,2.51,1,2015,2015-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12015,2.51,1,2015,2015-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12015,2.42,1,2015,2015-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12015,2.88,1,2015,2015-03-31
+HUM,Humana,Numeric Transeprency,CQ12015,1.81,1,2015,2015-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12015,3.17,1,2015,2015-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12015,3.39,1,2015,2015-03-31
+LH,Labcorp,Numeric Transeprency,CQ12015,2.59,1,2015,2015-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12015,2.3,1,2015,2015-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12015,2.51,1,2015,2015-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12015,1.86,1,2015,2015-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12015,2.63,1,2015,2015-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12015,3.74,1,2015,2015-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12015,2.16,1,2015,2015-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12015,3.73,1,2015,2015-03-31
+MMM,3M,Numeric Transeprency,CQ12015,4.57,1,2015,2015-03-31
+AME,Ametek,Numeric Transeprency,CQ12015,3.87,1,2015,2015-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12015,1.5,1,2015,2015-03-31
+BA,Boeing,Numeric Transeprency,CQ12015,4.28,1,2015,2015-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12015,2.09,1,2015,2015-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12015,3.19,1,2015,2015-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12015,2.4,1,2015,2015-03-31
+CMI,Cummins,Numeric Transeprency,CQ12015,4.86,1,2015,2015-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12015,2.69,1,2015,2015-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12015,3.42,1,2015,2015-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12015,2.06,1,2015,2015-03-31
+EFX,Equifax,Numeric Transeprency,CQ12015,3.87,1,2015,2015-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12015,,1,2015,2015-03-31
+FDX,FedEx,Numeric Transeprency,CQ12015,1.57,1,2015,2015-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12015,5.78,1,2015,2015-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12015,3.56,1,2015,2015-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12015,4.57,1,2015,2015-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12015,3.34,1,2015,2015-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12015,2.92,1,2015,2015-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12015,3.13,1,2015,2015-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12015,2.73,1,2015,2015-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12015,3.13,1,2015,2015-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12015,2.0,1,2015,2015-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12015,3.24,1,2015,2015-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12015,4.25,1,2015,2015-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12015,3.15,1,2015,2015-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12015,2.06,1,2015,2015-03-31
+WM,Waste Management,Numeric Transeprency,CQ12015,3.48,1,2015,2015-03-31
+ACN,Accenture,Numeric Transeprency,CQ12015,2.89,1,2015,2015-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12015,1.93,1,2015,2015-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12015,3.13,1,2015,2015-03-31
+APH,Amphenol,Numeric Transeprency,CQ12015,2.71,1,2015,2015-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12015,2.03,1,2015,2015-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12015,2.92,1,2015,2015-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12015,1.95,1,2015,2015-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12015,1.23,1,2015,2015-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12015,2.3,1,2015,2015-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12015,2.83,1,2015,2015-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12015,3.03,1,2015,2015-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12015,2.59,1,2015,2015-03-31
+IBM,IBM,Numeric Transeprency,CQ12015,3.01,1,2015,2015-03-31
+INTC,Intel,Numeric Transeprency,CQ12015,2.55,1,2015,2015-03-31
+INTU,Intuit,Numeric Transeprency,CQ12015,1.4,1,2015,2015-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12015,2.77,1,2015,2015-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12015,1.94,1,2015,2015-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12015,1.79,1,2015,2015-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12015,3.9,1,2015,2015-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12015,1.4,1,2015,2015-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12015,2.07,1,2015,2015-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12015,2.62,1,2015,2015-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12015,2.63,1,2015,2015-03-31
+APD,Air Products,Numeric Transeprency,CQ12015,2.29,1,2015,2015-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12015,2.13,1,2015,2015-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12015,2.42,1,2015,2015-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12015,3.1,1,2015,2015-03-31
+IP,International Paper,Numeric Transeprency,CQ12015,2.31,1,2015,2015-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12015,3.47,1,2015,2015-03-31
+NEM,Newmont,Numeric Transeprency,CQ12015,4.2,1,2015,2015-03-31
+NUE,Nucor,Numeric Transeprency,CQ12015,1.96,1,2015,2015-03-31
+AMT,American Tower,Numeric Transeprency,CQ12015,3.52,1,2015,2015-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12015,2.86,1,2015,2015-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12015,3.34,1,2015,2015-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12015,3.86,1,2015,2015-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12015,2.87,1,2015,2015-03-31
+PLD,Prologis,Numeric Transeprency,CQ12015,4.16,1,2015,2015-03-31
+VTR,Ventas,Numeric Transeprency,CQ12015,3.46,1,2015,2015-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12015,3.05,1,2015,2015-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12015,4.48,1,2015,2015-03-31
+AEE,Ameren,Numeric Transeprency,CQ12015,3.62,1,2015,2015-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12015,3.51,1,2015,2015-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12015,3.64,1,2015,2015-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12015,4.18,1,2015,2015-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12015,4.33,1,2015,2015-03-31
+EIX,Edison International,Numeric Transeprency,CQ12015,2.65,1,2015,2015-03-31
+ETR,Entergy,Numeric Transeprency,CQ12015,3.11,1,2015,2015-03-31
+EXC,Exelon,Numeric Transeprency,CQ12015,2.96,1,2015,2015-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12015,4.35,1,2015,2015-03-31
+SO,Southern Company,Numeric Transeprency,CQ12015,3.04,1,2015,2015-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12015,3.07,1,2015,2015-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12015,23.53,1,2015,2015-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12015,21.74,1,2015,2015-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12015,,1,2015,2015-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12015,32.56,1,2015,2015-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12015,5.13,1,2015,2015-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12015,58.82,1,2015,2015-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12015,42.11,1,2015,2015-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12015,29.41,1,2015,2015-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12015,32.56,1,2015,2015-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12015,19.23,1,2015,2015-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12015,18.52,1,2015,2015-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12015,37.5,1,2015,2015-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12015,26.92,1,2015,2015-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12015,40.74,1,2015,2015-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12015,47.62,1,2015,2015-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12015,47.37,1,2015,2015-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12015,54.55,1,2015,2015-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12015,83.33,1,2015,2015-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12015,29.63,1,2015,2015-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12015,28.0,1,2015,2015-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12015,23.33,1,2015,2015-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12015,51.72,1,2015,2015-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12015,25.0,1,2015,2015-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12015,16.67,1,2015,2015-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12015,58.33,1,2015,2015-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12015,73.33,1,2015,2015-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12015,41.18,1,2015,2015-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12015,66.67,1,2015,2015-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12015,29.17,1,2015,2015-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12015,42.86,1,2015,2015-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12015,30.0,1,2015,2015-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12015,47.06,1,2015,2015-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12015,56.25,1,2015,2015-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12015,52.38,1,2015,2015-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12015,45.45,1,2015,2015-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12015,28.0,1,2015,2015-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12015,56.0,1,2015,2015-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12015,76.92,1,2015,2015-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12015,0.0,1,2015,2015-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12015,30.0,1,2015,2015-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12015,,1,2015,2015-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12015,21.62,1,2015,2015-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12015,17.14,1,2015,2015-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12015,64.0,1,2015,2015-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12015,22.22,1,2015,2015-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12015,28.0,1,2015,2015-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12015,23.53,1,2015,2015-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12015,44.44,1,2015,2015-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12015,24.0,1,2015,2015-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12015,36.67,1,2015,2015-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12015,36.36,1,2015,2015-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12015,54.55,1,2015,2015-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12015,33.33,1,2015,2015-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12015,55.56,1,2015,2015-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12015,39.13,1,2015,2015-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12015,,1,2015,2015-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12015,30.0,1,2015,2015-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12015,53.33,1,2015,2015-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12015,,1,2015,2015-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12015,40.91,1,2015,2015-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12015,44.0,1,2015,2015-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12015,25.0,1,2015,2015-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12015,34.62,1,2015,2015-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12015,40.91,1,2015,2015-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12015,60.87,1,2015,2015-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12015,41.18,1,2015,2015-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12015,73.33,1,2015,2015-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12015,65.0,1,2015,2015-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12015,57.14,1,2015,2015-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12015,30.77,1,2015,2015-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12015,34.21,1,2015,2015-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12015,45.0,1,2015,2015-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12015,37.5,1,2015,2015-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12015,64.29,1,2015,2015-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12015,70.59,1,2015,2015-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12015,25.93,1,2015,2015-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12015,31.58,1,2015,2015-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12015,48.28,1,2015,2015-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12015,66.67,1,2015,2015-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12015,,1,2015,2015-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12015,26.92,1,2015,2015-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12015,26.92,1,2015,2015-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12015,40.54,1,2015,2015-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12015,48.15,1,2015,2015-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12015,69.23,1,2015,2015-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12015,21.74,1,2015,2015-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12015,75.0,1,2015,2015-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12015,57.69,1,2015,2015-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12015,27.78,1,2015,2015-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12015,57.14,1,2015,2015-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12015,53.85,1,2015,2015-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12015,26.92,1,2015,2015-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12015,38.1,1,2015,2015-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12015,61.54,1,2015,2015-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12015,,1,2015,2015-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12015,30.77,1,2015,2015-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12015,47.06,1,2015,2015-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12015,40.0,1,2015,2015-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12015,29.17,1,2015,2015-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12015,55.56,1,2015,2015-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12015,62.5,1,2015,2015-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12015,36.84,1,2015,2015-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12015,40.0,1,2015,2015-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12015,72.73,1,2015,2015-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12015,57.89,1,2015,2015-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12015,54.55,1,2015,2015-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12015,54.55,1,2015,2015-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12015,31.58,1,2015,2015-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12015,55.0,1,2015,2015-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12015,25.0,1,2015,2015-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12015,42.11,1,2015,2015-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12015,35.71,1,2015,2015-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12015,45.83,1,2015,2015-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12015,44.0,1,2015,2015-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12015,70.37,1,2015,2015-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12015,27.59,1,2015,2015-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12015,33.33,1,2015,2015-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12015,27.59,1,2015,2015-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12015,75.0,1,2015,2015-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12015,42.31,1,2015,2015-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12015,30.77,1,2015,2015-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12015,,1,2015,2015-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12015,75.0,1,2015,2015-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12015,45.0,1,2015,2015-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12015,73.68,1,2015,2015-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12015,27.27,1,2015,2015-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12015,55.0,1,2015,2015-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12015,62.96,1,2015,2015-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12015,52.63,1,2015,2015-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12015,73.08,1,2015,2015-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12015,31.82,1,2015,2015-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12015,60.0,1,2015,2015-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12015,29.41,1,2015,2015-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12015,51.85,1,2015,2015-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12015,40.74,1,2015,2015-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12015,47.83,1,2015,2015-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12015,71.43,1,2015,2015-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12015,66.67,1,2015,2015-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12015,19.15,1,2015,2015-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12015,52.38,1,2015,2015-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12015,83.33,1,2015,2015-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12015,33.33,1,2015,2015-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12015,25.0,1,2015,2015-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12015,44.44,1,2015,2015-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12015,33.33,1,2015,2015-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12015,32.14,1,2015,2015-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12015,23.4,1,2015,2015-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12015,73.68,1,2015,2015-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12015,72.22,1,2015,2015-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12015,18.18,1,2015,2015-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12015,26.32,1,2015,2015-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12015,36.84,1,2015,2015-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12015,44.12,1,2015,2015-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12015,31.25,1,2015,2015-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12015,17.07,1,2015,2015-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12015,32.43,1,2015,2015-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12015,57.14,1,2015,2015-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12015,66.67,1,2015,2015-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12015,68.18,1,2015,2015-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12015,45.45,1,2015,2015-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12015,76.47,1,2015,2015-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12015,47.06,1,2015,2015-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12015,14.29,1,2015,2015-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12015,38.1,1,2015,2015-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12015,21.05,1,2015,2015-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12015,75.0,1,2015,2015-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12015,85.71,1,2015,2015-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12015,60.0,1,2015,2015-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12015,42.86,1,2015,2015-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12015,50.0,1,2015,2015-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12015,36.36,1,2015,2015-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12015,38.46,1,2015,2015-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12015,28.57,1,2015,2015-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12015,56.25,1,2015,2015-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12015,33.33,1,2015,2015-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12015,36.84,1,2015,2015-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12015,33.33,1,2015,2015-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12015,31.58,1,2015,2015-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12015,36.84,1,2015,2015-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12015,30.43,1,2015,2015-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12015,57.89,1,2015,2015-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12015,29.41,1,2015,2015-03-31
+T,AT&T,Language Complexity,CQ12015,11.43,1,2015,2015-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12015,10.74,1,2015,2015-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12015,,1,2015,2015-03-31
+META,Meta Platforms,Language Complexity,CQ12015,12.66,1,2015,2015-03-31
+NFLX,Netflix,Language Complexity,CQ12015,10.89,1,2015,2015-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12015,14.63,1,2015,2015-03-31
+OMC,Omnicom Group,Language Complexity,CQ12015,12.7,1,2015,2015-03-31
+VZ,Verizon,Language Complexity,CQ12015,12.61,1,2015,2015-03-31
+AMZN,Amazon,Language Complexity,CQ12015,11.19,1,2015,2015-03-31
+AZO,AutoZone,Language Complexity,CQ12015,12.68,1,2015,2015-03-31
+BBY,Best Buy,Language Complexity,CQ12015,14.41,1,2015,2015-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12015,11.66,1,2015,2015-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12015,14.92,1,2015,2015-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12015,11.84,1,2015,2015-03-31
+F,Ford Motor Company,Language Complexity,CQ12015,11.53,1,2015,2015-03-31
+GM,General Motors,Language Complexity,CQ12015,12.95,1,2015,2015-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12015,11.57,1,2015,2015-03-31
+HAS,Hasbro,Language Complexity,CQ12015,12.9,1,2015,2015-03-31
+LOW,Lowe's,Language Complexity,CQ12015,12.19,1,2015,2015-03-31
+MCD,McDonald's,Language Complexity,CQ12015,13.52,1,2015,2015-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12015,13.62,1,2015,2015-03-31
+ROST,Ross Stores,Language Complexity,CQ12015,10.48,1,2015,2015-03-31
+TJX,TJX Companies,Language Complexity,CQ12015,10.92,1,2015,2015-03-31
+TGT,Target,Language Complexity,CQ12015,13.79,1,2015,2015-03-31
+MO,Altria,Language Complexity,CQ12015,12.27,1,2015,2015-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12015,11.44,1,2015,2015-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12015,12.33,1,2015,2015-03-31
+CLX,Clorox,Language Complexity,CQ12015,11.97,1,2015,2015-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12015,13.35,1,2015,2015-03-31
+COST,Costco,Language Complexity,CQ12015,9.52,1,2015,2015-03-31
+GIS,General Mills,Language Complexity,CQ12015,11.59,1,2015,2015-03-31
+HSY,Hershey Company,Language Complexity,CQ12015,12.23,1,2015,2015-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12015,11.54,1,2015,2015-03-31
+KR,Kroger,Language Complexity,CQ12015,11.58,1,2015,2015-03-31
+MKC,McCormick & Company,Language Complexity,CQ12015,12.36,1,2015,2015-03-31
+PEP,PepsiCo,Language Complexity,CQ12015,13.55,1,2015,2015-03-31
+PG,Procter & Gamble,Language Complexity,CQ12015,12.62,1,2015,2015-03-31
+SYY,Sysco,Language Complexity,CQ12015,13.15,1,2015,2015-03-31
+WMT,Walmart,Language Complexity,CQ12015,15.16,1,2015,2015-03-31
+APA,APA Corporation,Language Complexity,CQ12015,11.75,1,2015,2015-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12015,,1,2015,2015-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12015,11.52,1,2015,2015-03-31
+EOG,EOG Resources,Language Complexity,CQ12015,12.11,1,2015,2015-03-31
+XOM,ExxonMobil,Language Complexity,CQ12015,11.58,1,2015,2015-03-31
+HAL,Halliburton,Language Complexity,CQ12015,13.41,1,2015,2015-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12015,12.64,1,2015,2015-03-31
+SLB,Schlumberger,Language Complexity,CQ12015,13.92,1,2015,2015-03-31
+VLO,Valero Energy,Language Complexity,CQ12015,11.15,1,2015,2015-03-31
+AFL,Aflac,Language Complexity,CQ12015,11.08,1,2015,2015-03-31
+ALL,Allstate,Language Complexity,CQ12015,12.52,1,2015,2015-03-31
+AXP,American Express,Language Complexity,CQ12015,14.09,1,2015,2015-03-31
+AIG,American International Group,Language Complexity,CQ12015,14.51,1,2015,2015-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12015,12.15,1,2015,2015-03-31
+AON,Aon plc,Language Complexity,CQ12015,13.25,1,2015,2015-03-31
+BK,BNY Mellon,Language Complexity,CQ12015,11.75,1,2015,2015-03-31
+BAC,Bank of America,Language Complexity,CQ12015,12.35,1,2015,2015-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12015,,1,2015,2015-03-31
+BLK,BlackRock,Language Complexity,CQ12015,14.68,1,2015,2015-03-31
+CME,CME Group,Language Complexity,CQ12015,11.24,1,2015,2015-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12015,,1,2015,2015-03-31
+CB,Chubb Limited,Language Complexity,CQ12015,11.56,1,2015,2015-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12015,13.03,1,2015,2015-03-31
+C,Citigroup,Language Complexity,CQ12015,12.87,1,2015,2015-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12015,11.45,1,2015,2015-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12015,12.65,1,2015,2015-03-31
+FISV,Fiserv,Language Complexity,CQ12015,12.3,1,2015,2015-03-31
+GS,Goldman Sachs,Language Complexity,CQ12015,11.81,1,2015,2015-03-31
+HIG,Hartford Financial,Language Complexity,CQ12015,12.93,1,2015,2015-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12015,12.72,1,2015,2015-03-31
+IVZ,Invesco,Language Complexity,CQ12015,12.05,1,2015,2015-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12015,11.58,1,2015,2015-03-31
+KEY,KeyCorp,Language Complexity,CQ12015,12.34,1,2015,2015-03-31
+MA,Mastercard,Language Complexity,CQ12015,12.31,1,2015,2015-03-31
+MET,MetLife,Language Complexity,CQ12015,12.99,1,2015,2015-03-31
+MS,Morgan Stanley,Language Complexity,CQ12015,12.39,1,2015,2015-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12015,14.64,1,2015,2015-03-31
+NTRS,Northern Trust,Language Complexity,CQ12015,12.15,1,2015,2015-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12015,11.73,1,2015,2015-03-31
+PRU,Prudential Financial,Language Complexity,CQ12015,13.44,1,2015,2015-03-31
+RF,Regions Financial,Language Complexity,CQ12015,12.83,1,2015,2015-03-31
+SPGI,S&P Global,Language Complexity,CQ12015,13.68,1,2015,2015-03-31
+STT,State Street,Language Complexity,CQ12015,13.18,1,2015,2015-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12015,,1,2015,2015-03-31
+TRV,Travelers Companies,Language Complexity,CQ12015,13.19,1,2015,2015-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12015,10.77,1,2015,2015-03-31
+V,Visa,Language Complexity,CQ12015,13.11,1,2015,2015-03-31
+WFC,Wells Fargo,Language Complexity,CQ12015,12.34,1,2015,2015-03-31
+ABBV,AbbVie,Language Complexity,CQ12015,12.73,1,2015,2015-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12015,13.43,1,2015,2015-03-31
+A,Agilent Technologies,Language Complexity,CQ12015,12.42,1,2015,2015-03-31
+AMGN,Amgen,Language Complexity,CQ12015,12.68,1,2015,2015-03-31
+BAX,Baxter International,Language Complexity,CQ12015,14.74,1,2015,2015-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12015,11.63,1,2015,2015-03-31
+BIIB,Biogen,Language Complexity,CQ12015,12.91,1,2015,2015-03-31
+BSX,Boston Scientific,Language Complexity,CQ12015,13.16,1,2015,2015-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12015,12.76,1,2015,2015-03-31
+CVS,CVS Health,Language Complexity,CQ12015,12.24,1,2015,2015-03-31
+COR,Cencora,Language Complexity,CQ12015,,1,2015,2015-03-31
+CI,Cigna,Language Complexity,CQ12015,14.79,1,2015,2015-03-31
+DVA,DaVita,Language Complexity,CQ12015,10.57,1,2015,2015-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12015,12.55,1,2015,2015-03-31
+LLY,Eli Lilly,Language Complexity,CQ12015,11.26,1,2015,2015-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12015,11.84,1,2015,2015-03-31
+HUM,Humana,Language Complexity,CQ12015,13.32,1,2015,2015-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12015,12.84,1,2015,2015-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12015,13.33,1,2015,2015-03-31
+LH,Labcorp,Language Complexity,CQ12015,13.35,1,2015,2015-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12015,14.72,1,2015,2015-03-31
+MDT,Medtronic,Language Complexity,CQ12015,13.97,1,2015,2015-03-31
+MRK,Merck & Co.,Language Complexity,CQ12015,12.31,1,2015,2015-03-31
+PFE,Pfizer,Language Complexity,CQ12015,12.57,1,2015,2015-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12015,13.71,1,2015,2015-03-31
+WAT,Waters Corporation,Language Complexity,CQ12015,12.69,1,2015,2015-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12015,13.87,1,2015,2015-03-31
+MMM,3M,Language Complexity,CQ12015,11.5,1,2015,2015-03-31
+AME,Ametek,Language Complexity,CQ12015,12.17,1,2015,2015-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12015,13.25,1,2015,2015-03-31
+BA,Boeing,Language Complexity,CQ12015,13.29,1,2015,2015-03-31
+CSX,CSX Corporation,Language Complexity,CQ12015,12.03,1,2015,2015-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12015,11.02,1,2015,2015-03-31
+CTAS,Cintas,Language Complexity,CQ12015,11.37,1,2015,2015-03-31
+CMI,Cummins,Language Complexity,CQ12015,12.1,1,2015,2015-03-31
+DE,Deere & Company,Language Complexity,CQ12015,11.44,1,2015,2015-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12015,10.57,1,2015,2015-03-31
+EMR,Emerson Electric,Language Complexity,CQ12015,9.74,1,2015,2015-03-31
+EFX,Equifax,Language Complexity,CQ12015,12.52,1,2015,2015-03-31
+EXPD,Expeditors International,Language Complexity,CQ12015,,1,2015,2015-03-31
+FDX,FedEx,Language Complexity,CQ12015,11.33,1,2015,2015-03-31
+GE,GE Aerospace,Language Complexity,CQ12015,11.06,1,2015,2015-03-31
+GD,General Dynamics,Language Complexity,CQ12015,10.73,1,2015,2015-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12015,12.36,1,2015,2015-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12015,13.77,1,2015,2015-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12015,11.74,1,2015,2015-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12015,12.27,1,2015,2015-03-31
+PCAR,Paccar,Language Complexity,CQ12015,10.35,1,2015,2015-03-31
+RTX,RTX Corporation,Language Complexity,CQ12015,11.16,1,2015,2015-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12015,11.5,1,2015,2015-03-31
+ROP,Roper Technologies,Language Complexity,CQ12015,11.01,1,2015,2015-03-31
+SNA,Snap-on,Language Complexity,CQ12015,12.5,1,2015,2015-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12015,14.0,1,2015,2015-03-31
+UPS,United Parcel Service,Language Complexity,CQ12015,12.38,1,2015,2015-03-31
+WM,Waste Management,Language Complexity,CQ12015,11.53,1,2015,2015-03-31
+ACN,Accenture,Language Complexity,CQ12015,12.41,1,2015,2015-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12015,13.11,1,2015,2015-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12015,12.23,1,2015,2015-03-31
+APH,Amphenol,Language Complexity,CQ12015,14.19,1,2015,2015-03-31
+ADI,Analog Devices,Language Complexity,CQ12015,12.41,1,2015,2015-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12015,11.17,1,2015,2015-03-31
+AMAT,Applied Materials,Language Complexity,CQ12015,10.55,1,2015,2015-03-31
+ADSK,Autodesk,Language Complexity,CQ12015,11.61,1,2015,2015-03-31
+AVGO,Broadcom,Language Complexity,CQ12015,11.48,1,2015,2015-03-31
+CSCO,Cisco,Language Complexity,CQ12015,12.54,1,2015,2015-03-31
+CTSH,Cognizant,Language Complexity,CQ12015,14.14,1,2015,2015-03-31
+HPQ,HP Inc.,Language Complexity,CQ12015,13.0,1,2015,2015-03-31
+IBM,IBM,Language Complexity,CQ12015,12.56,1,2015,2015-03-31
+INTC,Intel,Language Complexity,CQ12015,10.04,1,2015,2015-03-31
+INTU,Intuit,Language Complexity,CQ12015,11.94,1,2015,2015-03-31
+LRCX,Lam Research,Language Complexity,CQ12015,12.68,1,2015,2015-03-31
+MU,Micron Technology,Language Complexity,CQ12015,13.64,1,2015,2015-03-31
+MSFT,Microsoft,Language Complexity,CQ12015,12.95,1,2015,2015-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12015,11.82,1,2015,2015-03-31
+NTAP,NetApp,Language Complexity,CQ12015,12.48,1,2015,2015-03-31
+NVDA,Nvidia,Language Complexity,CQ12015,11.57,1,2015,2015-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12015,10.92,1,2015,2015-03-31
+TXN,Texas Instruments,Language Complexity,CQ12015,11.33,1,2015,2015-03-31
+APD,Air Products,Language Complexity,CQ12015,11.32,1,2015,2015-03-31
+AVY,Avery Dennison,Language Complexity,CQ12015,12.87,1,2015,2015-03-31
+ECL,Ecolab,Language Complexity,CQ12015,11.02,1,2015,2015-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12015,12.92,1,2015,2015-03-31
+IP,International Paper,Language Complexity,CQ12015,11.41,1,2015,2015-03-31
+LIN,Linde plc,Language Complexity,CQ12015,11.75,1,2015,2015-03-31
+NEM,Newmont,Language Complexity,CQ12015,11.36,1,2015,2015-03-31
+NUE,Nucor,Language Complexity,CQ12015,11.99,1,2015,2015-03-31
+AMT,American Tower,Language Complexity,CQ12015,14.65,1,2015,2015-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12015,11.34,1,2015,2015-03-31
+EQR,Equity Residential,Language Complexity,CQ12015,11.89,1,2015,2015-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12015,12.04,1,2015,2015-03-31
+IRM,Iron Mountain,Language Complexity,CQ12015,12.89,1,2015,2015-03-31
+PLD,Prologis,Language Complexity,CQ12015,11.56,1,2015,2015-03-31
+VTR,Ventas,Language Complexity,CQ12015,12.21,1,2015,2015-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12015,12.0,1,2015,2015-03-31
+AES,AES Corporation,Language Complexity,CQ12015,12.42,1,2015,2015-03-31
+AEE,Ameren,Language Complexity,CQ12015,13.99,1,2015,2015-03-31
+AEP,American Electric Power,Language Complexity,CQ12015,13.81,1,2015,2015-03-31
+CMS,CMS Energy,Language Complexity,CQ12015,11.69,1,2015,2015-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12015,14.2,1,2015,2015-03-31
+DUK,Duke Energy,Language Complexity,CQ12015,13.25,1,2015,2015-03-31
+EIX,Edison International,Language Complexity,CQ12015,12.35,1,2015,2015-03-31
+ETR,Entergy,Language Complexity,CQ12015,12.63,1,2015,2015-03-31
+EXC,Exelon,Language Complexity,CQ12015,13.33,1,2015,2015-03-31
+NEE,NextEra Energy,Language Complexity,CQ12015,13.51,1,2015,2015-03-31
+SO,Southern Company,Language Complexity,CQ12015,10.59,1,2015,2015-03-31
+XEL,Xcel Energy,Language Complexity,CQ12015,12.22,1,2015,2015-03-31
+T,AT&T,Net Positivity,CQ22015,1.54,2,2015,2015-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22015,1.82,2,2015,2015-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22015,,2,2015,2015-06-30
+META,Meta Platforms,Net Positivity,CQ22015,1.88,2,2015,2015-06-30
+NFLX,Netflix,Net Positivity,CQ22015,0.99,2,2015,2015-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22015,0.88,2,2015,2015-06-30
+OMC,Omnicom Group,Net Positivity,CQ22015,0.78,2,2015,2015-06-30
+VZ,Verizon,Net Positivity,CQ22015,1.34,2,2015,2015-06-30
+AMZN,Amazon,Net Positivity,CQ22015,1.06,2,2015,2015-06-30
+AZO,AutoZone,Net Positivity,CQ22015,1.34,2,2015,2015-06-30
+BBY,Best Buy,Net Positivity,CQ22015,1.31,2,2015,2015-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22015,0.91,2,2015,2015-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22015,0.93,2,2015,2015-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22015,1.58,2,2015,2015-06-30
+F,Ford Motor Company,Net Positivity,CQ22015,1.13,2,2015,2015-06-30
+GM,General Motors,Net Positivity,CQ22015,1.17,2,2015,2015-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22015,1.23,2,2015,2015-06-30
+HAS,Hasbro,Net Positivity,CQ22015,1.55,2,2015,2015-06-30
+LOW,Lowe's,Net Positivity,CQ22015,2.41,2,2015,2015-06-30
+MCD,McDonald's,Net Positivity,CQ22015,0.39,2,2015,2015-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22015,3.03,2,2015,2015-06-30
+ROST,Ross Stores,Net Positivity,CQ22015,1.32,2,2015,2015-06-30
+TJX,TJX Companies,Net Positivity,CQ22015,1.75,2,2015,2015-06-30
+TGT,Target,Net Positivity,CQ22015,1.73,2,2015,2015-06-30
+MO,Altria,Net Positivity,CQ22015,0.98,2,2015,2015-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22015,1.27,2,2015,2015-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22015,0.95,2,2015,2015-06-30
+CLX,Clorox,Net Positivity,CQ22015,1.5,2,2015,2015-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22015,1.14,2,2015,2015-06-30
+COST,Costco,Net Positivity,CQ22015,1.02,2,2015,2015-06-30
+GIS,General Mills,Net Positivity,CQ22015,,2,2015,2015-06-30
+HSY,Hershey Company,Net Positivity,CQ22015,0.42,2,2015,2015-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22015,1.48,2,2015,2015-06-30
+KR,Kroger,Net Positivity,CQ22015,1.63,2,2015,2015-06-30
+MKC,McCormick & Company,Net Positivity,CQ22015,,2,2015,2015-06-30
+PEP,PepsiCo,Net Positivity,CQ22015,0.69,2,2015,2015-06-30
+PG,Procter & Gamble,Net Positivity,CQ22015,1.46,2,2015,2015-06-30
+SYY,Sysco,Net Positivity,CQ22015,1.04,2,2015,2015-06-30
+WMT,Walmart,Net Positivity,CQ22015,1.94,2,2015,2015-06-30
+APA,APA Corporation,Net Positivity,CQ22015,0.94,2,2015,2015-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22015,,2,2015,2015-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22015,0.38,2,2015,2015-06-30
+EOG,EOG Resources,Net Positivity,CQ22015,1.76,2,2015,2015-06-30
+XOM,ExxonMobil,Net Positivity,CQ22015,1.55,2,2015,2015-06-30
+HAL,Halliburton,Net Positivity,CQ22015,-0.05,2,2015,2015-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22015,0.98,2,2015,2015-06-30
+SLB,Schlumberger,Net Positivity,CQ22015,0.26,2,2015,2015-06-30
+VLO,Valero Energy,Net Positivity,CQ22015,0.76,2,2015,2015-06-30
+AFL,Aflac,Net Positivity,CQ22015,0.88,2,2015,2015-06-30
+ALL,Allstate,Net Positivity,CQ22015,0.48,2,2015,2015-06-30
+AXP,American Express,Net Positivity,CQ22015,0.42,2,2015,2015-06-30
+AIG,American International Group,Net Positivity,CQ22015,0.55,2,2015,2015-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22015,0.53,2,2015,2015-06-30
+AON,Aon plc,Net Positivity,CQ22015,1.45,2,2015,2015-06-30
+BK,BNY Mellon,Net Positivity,CQ22015,0.96,2,2015,2015-06-30
+BAC,Bank of America,Net Positivity,CQ22015,0.25,2,2015,2015-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22015,,2,2015,2015-06-30
+BLK,BlackRock,Net Positivity,CQ22015,1.48,2,2015,2015-06-30
+CME,CME Group,Net Positivity,CQ22015,0.42,2,2015,2015-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22015,,2,2015,2015-06-30
+CB,Chubb Limited,Net Positivity,CQ22015,0.27,2,2015,2015-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22015,0.85,2,2015,2015-06-30
+C,Citigroup,Net Positivity,CQ22015,0.81,2,2015,2015-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22015,0.53,2,2015,2015-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22015,0.87,2,2015,2015-06-30
+FISV,Fiserv,Net Positivity,CQ22015,1.48,2,2015,2015-06-30
+GS,Goldman Sachs,Net Positivity,CQ22015,0.48,2,2015,2015-06-30
+HIG,Hartford Financial,Net Positivity,CQ22015,1.38,2,2015,2015-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22015,1.19,2,2015,2015-06-30
+IVZ,Invesco,Net Positivity,CQ22015,1.13,2,2015,2015-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22015,0.83,2,2015,2015-06-30
+KEY,KeyCorp,Net Positivity,CQ22015,1.01,2,2015,2015-06-30
+MA,Mastercard,Net Positivity,CQ22015,0.72,2,2015,2015-06-30
+MET,MetLife,Net Positivity,CQ22015,0.37,2,2015,2015-06-30
+MS,Morgan Stanley,Net Positivity,CQ22015,1.45,2,2015,2015-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22015,1.11,2,2015,2015-06-30
+NTRS,Northern Trust,Net Positivity,CQ22015,0.42,2,2015,2015-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22015,0.47,2,2015,2015-06-30
+PRU,Prudential Financial,Net Positivity,CQ22015,0.68,2,2015,2015-06-30
+RF,Regions Financial,Net Positivity,CQ22015,0.23,2,2015,2015-06-30
+SPGI,S&P Global,Net Positivity,CQ22015,1.02,2,2015,2015-06-30
+STT,State Street,Net Positivity,CQ22015,0.52,2,2015,2015-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22015,,2,2015,2015-06-30
+TRV,Travelers Companies,Net Positivity,CQ22015,0.46,2,2015,2015-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22015,0.59,2,2015,2015-06-30
+V,Visa,Net Positivity,CQ22015,0.99,2,2015,2015-06-30
+WFC,Wells Fargo,Net Positivity,CQ22015,1.15,2,2015,2015-06-30
+ABBV,AbbVie,Net Positivity,CQ22015,1.3,2,2015,2015-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22015,1.69,2,2015,2015-06-30
+A,Agilent Technologies,Net Positivity,CQ22015,0.9,2,2015,2015-06-30
+AMGN,Amgen,Net Positivity,CQ22015,1.03,2,2015,2015-06-30
+BAX,Baxter International,Net Positivity,CQ22015,0.94,2,2015,2015-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22015,0.93,2,2015,2015-06-30
+BIIB,Biogen,Net Positivity,CQ22015,0.47,2,2015,2015-06-30
+BSX,Boston Scientific,Net Positivity,CQ22015,1.61,2,2015,2015-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22015,1.6,2,2015,2015-06-30
+CVS,CVS Health,Net Positivity,CQ22015,1.47,2,2015,2015-06-30
+COR,Cencora,Net Positivity,CQ22015,,2,2015,2015-06-30
+CI,Cigna,Net Positivity,CQ22015,1.97,2,2015,2015-06-30
+DVA,DaVita,Net Positivity,CQ22015,,2,2015,2015-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22015,1.84,2,2015,2015-06-30
+LLY,Eli Lilly,Net Positivity,CQ22015,0.48,2,2015,2015-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22015,0.66,2,2015,2015-06-30
+HUM,Humana,Net Positivity,CQ22015,0.41,2,2015,2015-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22015,0.7,2,2015,2015-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22015,0.75,2,2015,2015-06-30
+LH,Labcorp,Net Positivity,CQ22015,1.34,2,2015,2015-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22015,1.11,2,2015,2015-06-30
+MDT,Medtronic,Net Positivity,CQ22015,1.04,2,2015,2015-06-30
+MRK,Merck & Co.,Net Positivity,CQ22015,0.9,2,2015,2015-06-30
+PFE,Pfizer,Net Positivity,CQ22015,1.02,2,2015,2015-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22015,1.17,2,2015,2015-06-30
+WAT,Waters Corporation,Net Positivity,CQ22015,1.8,2,2015,2015-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22015,0.85,2,2015,2015-06-30
+MMM,3M,Net Positivity,CQ22015,1.09,2,2015,2015-06-30
+AME,Ametek,Net Positivity,CQ22015,1.13,2,2015,2015-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22015,1.36,2,2015,2015-06-30
+BA,Boeing,Net Positivity,CQ22015,1.09,2,2015,2015-06-30
+CSX,CSX Corporation,Net Positivity,CQ22015,0.65,2,2015,2015-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22015,-0.02,2,2015,2015-06-30
+CTAS,Cintas,Net Positivity,CQ22015,,2,2015,2015-06-30
+CMI,Cummins,Net Positivity,CQ22015,0.86,2,2015,2015-06-30
+DE,Deere & Company,Net Positivity,CQ22015,0.13,2,2015,2015-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22015,-0.09,2,2015,2015-06-30
+EMR,Emerson Electric,Net Positivity,CQ22015,-0.4,2,2015,2015-06-30
+EFX,Equifax,Net Positivity,CQ22015,1.11,2,2015,2015-06-30
+EXPD,Expeditors International,Net Positivity,CQ22015,,2,2015,2015-06-30
+FDX,FedEx,Net Positivity,CQ22015,1.13,2,2015,2015-06-30
+GE,GE Aerospace,Net Positivity,CQ22015,0.78,2,2015,2015-06-30
+GD,General Dynamics,Net Positivity,CQ22015,0.94,2,2015,2015-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22015,1.02,2,2015,2015-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22015,0.78,2,2015,2015-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22015,0.45,2,2015,2015-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22015,0.91,2,2015,2015-06-30
+PCAR,Paccar,Net Positivity,CQ22015,2.01,2,2015,2015-06-30
+RTX,RTX Corporation,Net Positivity,CQ22015,0.82,2,2015,2015-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22015,1.27,2,2015,2015-06-30
+ROP,Roper Technologies,Net Positivity,CQ22015,0.8,2,2015,2015-06-30
+SNA,Snap-on,Net Positivity,CQ22015,1.63,2,2015,2015-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22015,1.97,2,2015,2015-06-30
+UPS,United Parcel Service,Net Positivity,CQ22015,1.38,2,2015,2015-06-30
+WM,Waste Management,Net Positivity,CQ22015,0.47,2,2015,2015-06-30
+ACN,Accenture,Net Positivity,CQ22015,1.86,2,2015,2015-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22015,2.68,2,2015,2015-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22015,0.83,2,2015,2015-06-30
+APH,Amphenol,Net Positivity,CQ22015,1.68,2,2015,2015-06-30
+ADI,Analog Devices,Net Positivity,CQ22015,1.21,2,2015,2015-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22015,1.67,2,2015,2015-06-30
+AMAT,Applied Materials,Net Positivity,CQ22015,2.27,2,2015,2015-06-30
+ADSK,Autodesk,Net Positivity,CQ22015,0.36,2,2015,2015-06-30
+AVGO,Broadcom,Net Positivity,CQ22015,,2,2015,2015-06-30
+CSCO,Cisco,Net Positivity,CQ22015,1.33,2,2015,2015-06-30
+CTSH,Cognizant,Net Positivity,CQ22015,1.32,2,2015,2015-06-30
+HPQ,HP Inc.,Net Positivity,CQ22015,0.8,2,2015,2015-06-30
+IBM,IBM,Net Positivity,CQ22015,0.97,2,2015,2015-06-30
+INTC,Intel,Net Positivity,CQ22015,0.85,2,2015,2015-06-30
+INTU,Intuit,Net Positivity,CQ22015,1.03,2,2015,2015-06-30
+LRCX,Lam Research,Net Positivity,CQ22015,1.71,2,2015,2015-06-30
+MU,Micron Technology,Net Positivity,CQ22015,0.64,2,2015,2015-06-30
+MSFT,Microsoft,Net Positivity,CQ22015,1.26,2,2015,2015-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22015,1.44,2,2015,2015-06-30
+NTAP,NetApp,Net Positivity,CQ22015,-0.01,2,2015,2015-06-30
+NVDA,Nvidia,Net Positivity,CQ22015,0.75,2,2015,2015-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22015,0.57,2,2015,2015-06-30
+TXN,Texas Instruments,Net Positivity,CQ22015,-0.33,2,2015,2015-06-30
+APD,Air Products,Net Positivity,CQ22015,1.34,2,2015,2015-06-30
+AVY,Avery Dennison,Net Positivity,CQ22015,1.44,2,2015,2015-06-30
+ECL,Ecolab,Net Positivity,CQ22015,1.6,2,2015,2015-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22015,1.74,2,2015,2015-06-30
+IP,International Paper,Net Positivity,CQ22015,0.95,2,2015,2015-06-30
+LIN,Linde plc,Net Positivity,CQ22015,0.63,2,2015,2015-06-30
+NEM,Newmont,Net Positivity,CQ22015,1.18,2,2015,2015-06-30
+NUE,Nucor,Net Positivity,CQ22015,0.36,2,2015,2015-06-30
+AMT,American Tower,Net Positivity,CQ22015,0.44,2,2015,2015-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22015,0.59,2,2015,2015-06-30
+EQR,Equity Residential,Net Positivity,CQ22015,1.05,2,2015,2015-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22015,0.54,2,2015,2015-06-30
+IRM,Iron Mountain,Net Positivity,CQ22015,0.99,2,2015,2015-06-30
+PLD,Prologis,Net Positivity,CQ22015,0.81,2,2015,2015-06-30
+VTR,Ventas,Net Positivity,CQ22015,1.32,2,2015,2015-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22015,0.98,2,2015,2015-06-30
+AES,AES Corporation,Net Positivity,CQ22015,0.94,2,2015,2015-06-30
+AEE,Ameren,Net Positivity,CQ22015,0.51,2,2015,2015-06-30
+AEP,American Electric Power,Net Positivity,CQ22015,0.61,2,2015,2015-06-30
+CMS,CMS Energy,Net Positivity,CQ22015,0.96,2,2015,2015-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22015,1.52,2,2015,2015-06-30
+DUK,Duke Energy,Net Positivity,CQ22015,0.21,2,2015,2015-06-30
+EIX,Edison International,Net Positivity,CQ22015,0.08,2,2015,2015-06-30
+ETR,Entergy,Net Positivity,CQ22015,0.55,2,2015,2015-06-30
+EXC,Exelon,Net Positivity,CQ22015,0.29,2,2015,2015-06-30
+NEE,NextEra Energy,Net Positivity,CQ22015,0.59,2,2015,2015-06-30
+SO,Southern Company,Net Positivity,CQ22015,0.71,2,2015,2015-06-30
+XEL,Xcel Energy,Net Positivity,CQ22015,0.82,2,2015,2015-06-30
+T,AT&T,Numeric Transeprency,CQ22015,2.05,2,2015,2015-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22015,1.57,2,2015,2015-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22015,1.74,2,2015,2015-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22015,1.18,2,2015,2015-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22015,2.55,2,2015,2015-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22015,2.15,2,2015,2015-06-30
+VZ,Verizon,Numeric Transeprency,CQ22015,2.41,2,2015,2015-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22015,2.82,2,2015,2015-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22015,2.45,2,2015,2015-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22015,1.54,2,2015,2015-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22015,1.51,2,2015,2015-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22015,2.05,2,2015,2015-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22015,2.3,2,2015,2015-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22015,1.86,2,2015,2015-06-30
+GM,General Motors,Numeric Transeprency,CQ22015,1.95,2,2015,2015-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22015,3.09,2,2015,2015-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22015,1.75,2,2015,2015-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22015,2.18,2,2015,2015-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22015,1.52,2,2015,2015-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22015,2.3,2,2015,2015-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22015,2.24,2,2015,2015-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22015,2.43,2,2015,2015-06-30
+TGT,Target,Numeric Transeprency,CQ22015,1.39,2,2015,2015-06-30
+MO,Altria,Numeric Transeprency,CQ22015,2.12,2,2015,2015-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22015,2.12,2,2015,2015-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22015,1.8,2,2015,2015-06-30
+CLX,Clorox,Numeric Transeprency,CQ22015,1.7,2,2015,2015-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22015,1.08,2,2015,2015-06-30
+COST,Costco,Numeric Transeprency,CQ22015,3.84,2,2015,2015-06-30
+GIS,General Mills,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22015,2.16,2,2015,2015-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22015,1.63,2,2015,2015-06-30
+KR,Kroger,Numeric Transeprency,CQ22015,1.51,2,2015,2015-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22015,1.98,2,2015,2015-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22015,2.13,2,2015,2015-06-30
+SYY,Sysco,Numeric Transeprency,CQ22015,1.48,2,2015,2015-06-30
+WMT,Walmart,Numeric Transeprency,CQ22015,2.5,2,2015,2015-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22015,2.89,2,2015,2015-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22015,2.29,2,2015,2015-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22015,2.1,2,2015,2015-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22015,1.97,2,2015,2015-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22015,1.26,2,2015,2015-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22015,3.61,2,2015,2015-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22015,1.88,2,2015,2015-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22015,1.97,2,2015,2015-06-30
+AFL,Aflac,Numeric Transeprency,CQ22015,1.48,2,2015,2015-06-30
+ALL,Allstate,Numeric Transeprency,CQ22015,2.07,2,2015,2015-06-30
+AXP,American Express,Numeric Transeprency,CQ22015,1.86,2,2015,2015-06-30
+AIG,American International Group,Numeric Transeprency,CQ22015,2.11,2,2015,2015-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22015,1.67,2,2015,2015-06-30
+AON,Aon plc,Numeric Transeprency,CQ22015,2.65,2,2015,2015-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22015,1.7,2,2015,2015-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22015,3.09,2,2015,2015-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22015,1.56,2,2015,2015-06-30
+CME,CME Group,Numeric Transeprency,CQ22015,2.02,2,2015,2015-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22015,2.42,2,2015,2015-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22015,1.81,2,2015,2015-06-30
+C,Citigroup,Numeric Transeprency,CQ22015,2.63,2,2015,2015-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22015,1.93,2,2015,2015-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22015,2.5,2,2015,2015-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22015,1.84,2,2015,2015-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22015,1.6,2,2015,2015-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22015,2.21,2,2015,2015-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22015,1.84,2,2015,2015-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22015,1.91,2,2015,2015-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22015,3.32,2,2015,2015-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22015,1.94,2,2015,2015-06-30
+MA,Mastercard,Numeric Transeprency,CQ22015,2.15,2,2015,2015-06-30
+MET,MetLife,Numeric Transeprency,CQ22015,3.77,2,2015,2015-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22015,2.48,2,2015,2015-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22015,2.87,2,2015,2015-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22015,3.04,2,2015,2015-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22015,2.21,2,2015,2015-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22015,2.94,2,2015,2015-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22015,2.09,2,2015,2015-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22015,1.82,2,2015,2015-06-30
+STT,State Street,Numeric Transeprency,CQ22015,3.2,2,2015,2015-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22015,2.01,2,2015,2015-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22015,2.14,2,2015,2015-06-30
+V,Visa,Numeric Transeprency,CQ22015,1.32,2,2015,2015-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22015,2.27,2,2015,2015-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22015,1.86,2,2015,2015-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22015,1.33,2,2015,2015-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22015,1.82,2,2015,2015-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22015,2.41,2,2015,2015-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22015,2.99,2,2015,2015-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22015,3.15,2,2015,2015-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22015,1.7,2,2015,2015-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22015,5.33,2,2015,2015-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22015,1.13,2,2015,2015-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22015,2.57,2,2015,2015-06-30
+COR,Cencora,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+CI,Cigna,Numeric Transeprency,CQ22015,2.43,2,2015,2015-06-30
+DVA,DaVita,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22015,1.6,2,2015,2015-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22015,2.07,2,2015,2015-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22015,2.62,2,2015,2015-06-30
+HUM,Humana,Numeric Transeprency,CQ22015,1.3,2,2015,2015-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22015,2.99,2,2015,2015-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22015,3.29,2,2015,2015-06-30
+LH,Labcorp,Numeric Transeprency,CQ22015,2.48,2,2015,2015-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22015,2.56,2,2015,2015-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22015,2.95,2,2015,2015-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22015,1.59,2,2015,2015-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22015,2.36,2,2015,2015-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22015,2.58,2,2015,2015-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22015,1.79,2,2015,2015-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22015,2.73,2,2015,2015-06-30
+MMM,3M,Numeric Transeprency,CQ22015,3.75,2,2015,2015-06-30
+AME,Ametek,Numeric Transeprency,CQ22015,2.35,2,2015,2015-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22015,1.76,2,2015,2015-06-30
+BA,Boeing,Numeric Transeprency,CQ22015,2.53,2,2015,2015-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22015,1.85,2,2015,2015-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22015,2.15,2,2015,2015-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+CMI,Cummins,Numeric Transeprency,CQ22015,3.16,2,2015,2015-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22015,2.53,2,2015,2015-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22015,2.17,2,2015,2015-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22015,2.25,2,2015,2015-06-30
+EFX,Equifax,Numeric Transeprency,CQ22015,2.95,2,2015,2015-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+FDX,FedEx,Numeric Transeprency,CQ22015,2.35,2,2015,2015-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22015,4.56,2,2015,2015-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22015,2.44,2,2015,2015-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22015,3.32,2,2015,2015-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22015,2.05,2,2015,2015-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22015,1.65,2,2015,2015-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22015,2.09,2,2015,2015-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22015,2.31,2,2015,2015-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22015,2.59,2,2015,2015-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22015,2.26,2,2015,2015-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22015,2.61,2,2015,2015-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22015,3.62,2,2015,2015-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22015,3.04,2,2015,2015-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22015,1.48,2,2015,2015-06-30
+WM,Waste Management,Numeric Transeprency,CQ22015,3.5,2,2015,2015-06-30
+ACN,Accenture,Numeric Transeprency,CQ22015,2.85,2,2015,2015-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22015,2.14,2,2015,2015-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22015,2.25,2,2015,2015-06-30
+APH,Amphenol,Numeric Transeprency,CQ22015,2.16,2,2015,2015-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22015,1.8,2,2015,2015-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22015,2.7,2,2015,2015-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22015,2.52,2,2015,2015-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22015,1.13,2,2015,2015-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22015,,2,2015,2015-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22015,2.63,2,2015,2015-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22015,1.84,2,2015,2015-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22015,3.03,2,2015,2015-06-30
+IBM,IBM,Numeric Transeprency,CQ22015,1.73,2,2015,2015-06-30
+INTC,Intel,Numeric Transeprency,CQ22015,1.78,2,2015,2015-06-30
+INTU,Intuit,Numeric Transeprency,CQ22015,1.87,2,2015,2015-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22015,2.15,2,2015,2015-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22015,1.83,2,2015,2015-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22015,2.38,2,2015,2015-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22015,2.52,2,2015,2015-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22015,2.25,2,2015,2015-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22015,1.75,2,2015,2015-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22015,2.59,2,2015,2015-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22015,2.1,2,2015,2015-06-30
+APD,Air Products,Numeric Transeprency,CQ22015,2.4,2,2015,2015-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22015,1.54,2,2015,2015-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22015,2.06,2,2015,2015-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22015,2.41,2,2015,2015-06-30
+IP,International Paper,Numeric Transeprency,CQ22015,0.98,2,2015,2015-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22015,2.08,2,2015,2015-06-30
+NEM,Newmont,Numeric Transeprency,CQ22015,3.27,2,2015,2015-06-30
+NUE,Nucor,Numeric Transeprency,CQ22015,1.57,2,2015,2015-06-30
+AMT,American Tower,Numeric Transeprency,CQ22015,3.04,2,2015,2015-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22015,2.1,2,2015,2015-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22015,2.32,2,2015,2015-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22015,2.91,2,2015,2015-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22015,2.52,2,2015,2015-06-30
+PLD,Prologis,Numeric Transeprency,CQ22015,3.37,2,2015,2015-06-30
+VTR,Ventas,Numeric Transeprency,CQ22015,2.84,2,2015,2015-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22015,1.55,2,2015,2015-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22015,3.34,2,2015,2015-06-30
+AEE,Ameren,Numeric Transeprency,CQ22015,1.84,2,2015,2015-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22015,2.06,2,2015,2015-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22015,2.83,2,2015,2015-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22015,3.13,2,2015,2015-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22015,2.49,2,2015,2015-06-30
+EIX,Edison International,Numeric Transeprency,CQ22015,1.76,2,2015,2015-06-30
+ETR,Entergy,Numeric Transeprency,CQ22015,2.25,2,2015,2015-06-30
+EXC,Exelon,Numeric Transeprency,CQ22015,1.77,2,2015,2015-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22015,2.74,2,2015,2015-06-30
+SO,Southern Company,Numeric Transeprency,CQ22015,2.52,2,2015,2015-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22015,2.96,2,2015,2015-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22015,32.26,2,2015,2015-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22015,20.83,2,2015,2015-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22015,25.53,2,2015,2015-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22015,2.5,2,2015,2015-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22015,35.71,2,2015,2015-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22015,30.0,2,2015,2015-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22015,30.3,2,2015,2015-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22015,31.71,2,2015,2015-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22015,30.77,2,2015,2015-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22015,27.59,2,2015,2015-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22015,56.0,2,2015,2015-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22015,29.63,2,2015,2015-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22015,42.31,2,2015,2015-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22015,38.1,2,2015,2015-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22015,50.0,2,2015,2015-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22015,23.08,2,2015,2015-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22015,75.0,2,2015,2015-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22015,22.58,2,2015,2015-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22015,57.14,2,2015,2015-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22015,20.69,2,2015,2015-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22015,43.33,2,2015,2015-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22015,28.13,2,2015,2015-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22015,33.33,2,2015,2015-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22015,55.56,2,2015,2015-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22015,66.67,2,2015,2015-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22015,37.5,2,2015,2015-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22015,58.82,2,2015,2015-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22015,33.33,2,2015,2015-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22015,44.83,2,2015,2015-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22015,50.0,2,2015,2015-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22015,46.67,2,2015,2015-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22015,45.83,2,2015,2015-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22015,41.67,2,2015,2015-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22015,42.31,2,2015,2015-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22015,75.0,2,2015,2015-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22015,0.0,2,2015,2015-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22015,21.21,2,2015,2015-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22015,15.38,2,2015,2015-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22015,21.62,2,2015,2015-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22015,54.17,2,2015,2015-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22015,31.25,2,2015,2015-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22015,25.0,2,2015,2015-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22015,24.32,2,2015,2015-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22015,50.0,2,2015,2015-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22015,52.94,2,2015,2015-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22015,29.17,2,2015,2015-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22015,34.48,2,2015,2015-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22015,35.0,2,2015,2015-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22015,58.33,2,2015,2015-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22015,30.0,2,2015,2015-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22015,57.89,2,2015,2015-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22015,37.93,2,2015,2015-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22015,30.0,2,2015,2015-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22015,56.25,2,2015,2015-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22015,38.1,2,2015,2015-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22015,0.0,2,2015,2015-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22015,57.69,2,2015,2015-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22015,42.11,2,2015,2015-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22015,36.67,2,2015,2015-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22015,36.36,2,2015,2015-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22015,62.5,2,2015,2015-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22015,47.06,2,2015,2015-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22015,43.75,2,2015,2015-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22015,66.67,2,2015,2015-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22015,34.48,2,2015,2015-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22015,41.38,2,2015,2015-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22015,27.03,2,2015,2015-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22015,52.94,2,2015,2015-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22015,40.0,2,2015,2015-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22015,42.86,2,2015,2015-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22015,61.11,2,2015,2015-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22015,48.28,2,2015,2015-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22015,31.58,2,2015,2015-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22015,45.16,2,2015,2015-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22015,75.0,2,2015,2015-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22015,68.42,2,2015,2015-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22015,29.17,2,2015,2015-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22015,32.14,2,2015,2015-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22015,30.56,2,2015,2015-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22015,36.67,2,2015,2015-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22015,56.25,2,2015,2015-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22015,22.73,2,2015,2015-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22015,70.59,2,2015,2015-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22015,48.0,2,2015,2015-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22015,43.75,2,2015,2015-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22015,81.25,2,2015,2015-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22015,45.83,2,2015,2015-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22015,35.0,2,2015,2015-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22015,47.62,2,2015,2015-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22015,46.15,2,2015,2015-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22015,41.67,2,2015,2015-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22015,50.0,2,2015,2015-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22015,27.27,2,2015,2015-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22015,52.0,2,2015,2015-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22015,52.17,2,2015,2015-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22015,43.75,2,2015,2015-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22015,42.11,2,2015,2015-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22015,56.52,2,2015,2015-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22015,57.89,2,2015,2015-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22015,28.57,2,2015,2015-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22015,47.37,2,2015,2015-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22015,57.14,2,2015,2015-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22015,50.0,2,2015,2015-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22015,38.1,2,2015,2015-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22015,30.0,2,2015,2015-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22015,47.37,2,2015,2015-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22015,42.86,2,2015,2015-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22015,33.33,2,2015,2015-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22015,47.83,2,2015,2015-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22015,71.43,2,2015,2015-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22015,33.33,2,2015,2015-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22015,31.03,2,2015,2015-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22015,60.87,2,2015,2015-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22015,50.0,2,2015,2015-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22015,38.46,2,2015,2015-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22015,64.29,2,2015,2015-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22015,55.56,2,2015,2015-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22015,38.46,2,2015,2015-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22015,72.22,2,2015,2015-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22015,52.63,2,2015,2015-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22015,73.68,2,2015,2015-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22015,51.72,2,2015,2015-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22015,83.33,2,2015,2015-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22015,57.69,2,2015,2015-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22015,55.0,2,2015,2015-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22015,38.1,2,2015,2015-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22015,60.0,2,2015,2015-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22015,66.67,2,2015,2015-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22015,35.29,2,2015,2015-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22015,64.29,2,2015,2015-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22015,53.85,2,2015,2015-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22015,34.62,2,2015,2015-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22015,53.85,2,2015,2015-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22015,50.0,2,2015,2015-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22015,66.67,2,2015,2015-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22015,48.28,2,2015,2015-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22015,15.22,2,2015,2015-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22015,59.09,2,2015,2015-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22015,65.0,2,2015,2015-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22015,,2,2015,2015-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22015,19.51,2,2015,2015-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22015,46.67,2,2015,2015-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22015,25.0,2,2015,2015-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22015,40.0,2,2015,2015-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22015,26.09,2,2015,2015-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22015,66.67,2,2015,2015-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22015,65.0,2,2015,2015-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22015,21.62,2,2015,2015-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22015,21.62,2,2015,2015-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22015,38.89,2,2015,2015-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22015,25.0,2,2015,2015-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22015,34.29,2,2015,2015-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22015,19.05,2,2015,2015-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22015,32.35,2,2015,2015-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22015,44.44,2,2015,2015-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22015,50.0,2,2015,2015-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22015,75.0,2,2015,2015-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22015,45.45,2,2015,2015-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22015,61.11,2,2015,2015-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22015,12.5,2,2015,2015-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22015,27.78,2,2015,2015-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22015,60.0,2,2015,2015-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22015,36.84,2,2015,2015-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22015,36.36,2,2015,2015-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22015,40.0,2,2015,2015-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22015,100.0,2,2015,2015-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22015,44.44,2,2015,2015-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22015,33.33,2,2015,2015-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22015,0.0,2,2015,2015-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22015,60.0,2,2015,2015-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22015,58.33,2,2015,2015-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22015,25.0,2,2015,2015-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22015,38.1,2,2015,2015-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22015,35.29,2,2015,2015-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22015,33.33,2,2015,2015-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22015,28.57,2,2015,2015-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22015,38.89,2,2015,2015-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22015,36.84,2,2015,2015-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22015,47.37,2,2015,2015-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22015,29.17,2,2015,2015-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22015,42.86,2,2015,2015-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22015,37.5,2,2015,2015-06-30
+T,AT&T,Language Complexity,CQ22015,11.69,2,2015,2015-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22015,11.23,2,2015,2015-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22015,,2,2015,2015-06-30
+META,Meta Platforms,Language Complexity,CQ22015,12.29,2,2015,2015-06-30
+NFLX,Netflix,Language Complexity,CQ22015,11.19,2,2015,2015-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22015,14.94,2,2015,2015-06-30
+OMC,Omnicom Group,Language Complexity,CQ22015,12.93,2,2015,2015-06-30
+VZ,Verizon,Language Complexity,CQ22015,12.51,2,2015,2015-06-30
+AMZN,Amazon,Language Complexity,CQ22015,12.51,2,2015,2015-06-30
+AZO,AutoZone,Language Complexity,CQ22015,12.89,2,2015,2015-06-30
+BBY,Best Buy,Language Complexity,CQ22015,13.69,2,2015,2015-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22015,11.12,2,2015,2015-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22015,13.08,2,2015,2015-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22015,11.41,2,2015,2015-06-30
+F,Ford Motor Company,Language Complexity,CQ22015,11.5,2,2015,2015-06-30
+GM,General Motors,Language Complexity,CQ22015,12.27,2,2015,2015-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22015,12.33,2,2015,2015-06-30
+HAS,Hasbro,Language Complexity,CQ22015,12.3,2,2015,2015-06-30
+LOW,Lowe's,Language Complexity,CQ22015,12.52,2,2015,2015-06-30
+MCD,McDonald's,Language Complexity,CQ22015,13.17,2,2015,2015-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22015,13.34,2,2015,2015-06-30
+ROST,Ross Stores,Language Complexity,CQ22015,10.36,2,2015,2015-06-30
+TJX,TJX Companies,Language Complexity,CQ22015,10.91,2,2015,2015-06-30
+TGT,Target,Language Complexity,CQ22015,13.24,2,2015,2015-06-30
+MO,Altria,Language Complexity,CQ22015,11.45,2,2015,2015-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22015,11.7,2,2015,2015-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22015,12.61,2,2015,2015-06-30
+CLX,Clorox,Language Complexity,CQ22015,11.49,2,2015,2015-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22015,13.29,2,2015,2015-06-30
+COST,Costco,Language Complexity,CQ22015,9.84,2,2015,2015-06-30
+GIS,General Mills,Language Complexity,CQ22015,,2,2015,2015-06-30
+HSY,Hershey Company,Language Complexity,CQ22015,12.04,2,2015,2015-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22015,10.29,2,2015,2015-06-30
+KR,Kroger,Language Complexity,CQ22015,12.41,2,2015,2015-06-30
+MKC,McCormick & Company,Language Complexity,CQ22015,,2,2015,2015-06-30
+PEP,PepsiCo,Language Complexity,CQ22015,12.68,2,2015,2015-06-30
+PG,Procter & Gamble,Language Complexity,CQ22015,13.07,2,2015,2015-06-30
+SYY,Sysco,Language Complexity,CQ22015,12.05,2,2015,2015-06-30
+WMT,Walmart,Language Complexity,CQ22015,15.33,2,2015,2015-06-30
+APA,APA Corporation,Language Complexity,CQ22015,12.42,2,2015,2015-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22015,,2,2015,2015-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22015,13.21,2,2015,2015-06-30
+EOG,EOG Resources,Language Complexity,CQ22015,12.41,2,2015,2015-06-30
+XOM,ExxonMobil,Language Complexity,CQ22015,12.33,2,2015,2015-06-30
+HAL,Halliburton,Language Complexity,CQ22015,13.93,2,2015,2015-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22015,12.26,2,2015,2015-06-30
+SLB,Schlumberger,Language Complexity,CQ22015,14.23,2,2015,2015-06-30
+VLO,Valero Energy,Language Complexity,CQ22015,11.22,2,2015,2015-06-30
+AFL,Aflac,Language Complexity,CQ22015,11.18,2,2015,2015-06-30
+ALL,Allstate,Language Complexity,CQ22015,12.9,2,2015,2015-06-30
+AXP,American Express,Language Complexity,CQ22015,14.41,2,2015,2015-06-30
+AIG,American International Group,Language Complexity,CQ22015,13.84,2,2015,2015-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22015,12.72,2,2015,2015-06-30
+AON,Aon plc,Language Complexity,CQ22015,14.6,2,2015,2015-06-30
+BK,BNY Mellon,Language Complexity,CQ22015,12.76,2,2015,2015-06-30
+BAC,Bank of America,Language Complexity,CQ22015,11.7,2,2015,2015-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22015,,2,2015,2015-06-30
+BLK,BlackRock,Language Complexity,CQ22015,14.37,2,2015,2015-06-30
+CME,CME Group,Language Complexity,CQ22015,11.74,2,2015,2015-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22015,,2,2015,2015-06-30
+CB,Chubb Limited,Language Complexity,CQ22015,10.63,2,2015,2015-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22015,13.01,2,2015,2015-06-30
+C,Citigroup,Language Complexity,CQ22015,11.39,2,2015,2015-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22015,11.84,2,2015,2015-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22015,11.91,2,2015,2015-06-30
+FISV,Fiserv,Language Complexity,CQ22015,12.42,2,2015,2015-06-30
+GS,Goldman Sachs,Language Complexity,CQ22015,12.57,2,2015,2015-06-30
+HIG,Hartford Financial,Language Complexity,CQ22015,11.92,2,2015,2015-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22015,12.71,2,2015,2015-06-30
+IVZ,Invesco,Language Complexity,CQ22015,11.69,2,2015,2015-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22015,11.9,2,2015,2015-06-30
+KEY,KeyCorp,Language Complexity,CQ22015,12.08,2,2015,2015-06-30
+MA,Mastercard,Language Complexity,CQ22015,12.08,2,2015,2015-06-30
+MET,MetLife,Language Complexity,CQ22015,12.46,2,2015,2015-06-30
+MS,Morgan Stanley,Language Complexity,CQ22015,11.26,2,2015,2015-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22015,13.91,2,2015,2015-06-30
+NTRS,Northern Trust,Language Complexity,CQ22015,12.32,2,2015,2015-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22015,11.44,2,2015,2015-06-30
+PRU,Prudential Financial,Language Complexity,CQ22015,13.98,2,2015,2015-06-30
+RF,Regions Financial,Language Complexity,CQ22015,12.07,2,2015,2015-06-30
+SPGI,S&P Global,Language Complexity,CQ22015,13.18,2,2015,2015-06-30
+STT,State Street,Language Complexity,CQ22015,13.47,2,2015,2015-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22015,,2,2015,2015-06-30
+TRV,Travelers Companies,Language Complexity,CQ22015,12.67,2,2015,2015-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22015,11.31,2,2015,2015-06-30
+V,Visa,Language Complexity,CQ22015,12.89,2,2015,2015-06-30
+WFC,Wells Fargo,Language Complexity,CQ22015,12.26,2,2015,2015-06-30
+ABBV,AbbVie,Language Complexity,CQ22015,13.45,2,2015,2015-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22015,11.38,2,2015,2015-06-30
+A,Agilent Technologies,Language Complexity,CQ22015,12.76,2,2015,2015-06-30
+AMGN,Amgen,Language Complexity,CQ22015,13.36,2,2015,2015-06-30
+BAX,Baxter International,Language Complexity,CQ22015,13.61,2,2015,2015-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22015,11.51,2,2015,2015-06-30
+BIIB,Biogen,Language Complexity,CQ22015,12.18,2,2015,2015-06-30
+BSX,Boston Scientific,Language Complexity,CQ22015,12.45,2,2015,2015-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22015,12.44,2,2015,2015-06-30
+CVS,CVS Health,Language Complexity,CQ22015,12.2,2,2015,2015-06-30
+COR,Cencora,Language Complexity,CQ22015,,2,2015,2015-06-30
+CI,Cigna,Language Complexity,CQ22015,15.53,2,2015,2015-06-30
+DVA,DaVita,Language Complexity,CQ22015,,2,2015,2015-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22015,13.07,2,2015,2015-06-30
+LLY,Eli Lilly,Language Complexity,CQ22015,11.55,2,2015,2015-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22015,12.58,2,2015,2015-06-30
+HUM,Humana,Language Complexity,CQ22015,13.68,2,2015,2015-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22015,12.46,2,2015,2015-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22015,13.02,2,2015,2015-06-30
+LH,Labcorp,Language Complexity,CQ22015,13.3,2,2015,2015-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22015,15.43,2,2015,2015-06-30
+MDT,Medtronic,Language Complexity,CQ22015,14.87,2,2015,2015-06-30
+MRK,Merck & Co.,Language Complexity,CQ22015,12.62,2,2015,2015-06-30
+PFE,Pfizer,Language Complexity,CQ22015,13.34,2,2015,2015-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22015,12.85,2,2015,2015-06-30
+WAT,Waters Corporation,Language Complexity,CQ22015,12.97,2,2015,2015-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22015,13.76,2,2015,2015-06-30
+MMM,3M,Language Complexity,CQ22015,10.57,2,2015,2015-06-30
+AME,Ametek,Language Complexity,CQ22015,11.7,2,2015,2015-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22015,13.76,2,2015,2015-06-30
+BA,Boeing,Language Complexity,CQ22015,11.66,2,2015,2015-06-30
+CSX,CSX Corporation,Language Complexity,CQ22015,11.96,2,2015,2015-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22015,10.01,2,2015,2015-06-30
+CTAS,Cintas,Language Complexity,CQ22015,,2,2015,2015-06-30
+CMI,Cummins,Language Complexity,CQ22015,11.11,2,2015,2015-06-30
+DE,Deere & Company,Language Complexity,CQ22015,11.49,2,2015,2015-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22015,10.77,2,2015,2015-06-30
+EMR,Emerson Electric,Language Complexity,CQ22015,11.06,2,2015,2015-06-30
+EFX,Equifax,Language Complexity,CQ22015,12.03,2,2015,2015-06-30
+EXPD,Expeditors International,Language Complexity,CQ22015,,2,2015,2015-06-30
+FDX,FedEx,Language Complexity,CQ22015,11.74,2,2015,2015-06-30
+GE,GE Aerospace,Language Complexity,CQ22015,10.83,2,2015,2015-06-30
+GD,General Dynamics,Language Complexity,CQ22015,9.56,2,2015,2015-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22015,11.44,2,2015,2015-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22015,13.01,2,2015,2015-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22015,11.83,2,2015,2015-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22015,12.08,2,2015,2015-06-30
+PCAR,Paccar,Language Complexity,CQ22015,11.23,2,2015,2015-06-30
+RTX,RTX Corporation,Language Complexity,CQ22015,10.71,2,2015,2015-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22015,11.04,2,2015,2015-06-30
+ROP,Roper Technologies,Language Complexity,CQ22015,10.89,2,2015,2015-06-30
+SNA,Snap-on,Language Complexity,CQ22015,12.08,2,2015,2015-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22015,14.39,2,2015,2015-06-30
+UPS,United Parcel Service,Language Complexity,CQ22015,11.09,2,2015,2015-06-30
+WM,Waste Management,Language Complexity,CQ22015,10.87,2,2015,2015-06-30
+ACN,Accenture,Language Complexity,CQ22015,13.68,2,2015,2015-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22015,13.92,2,2015,2015-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22015,12.38,2,2015,2015-06-30
+APH,Amphenol,Language Complexity,CQ22015,13.2,2,2015,2015-06-30
+ADI,Analog Devices,Language Complexity,CQ22015,12.58,2,2015,2015-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22015,11.03,2,2015,2015-06-30
+AMAT,Applied Materials,Language Complexity,CQ22015,10.64,2,2015,2015-06-30
+ADSK,Autodesk,Language Complexity,CQ22015,11.19,2,2015,2015-06-30
+AVGO,Broadcom,Language Complexity,CQ22015,,2,2015,2015-06-30
+CSCO,Cisco,Language Complexity,CQ22015,11.89,2,2015,2015-06-30
+CTSH,Cognizant,Language Complexity,CQ22015,13.55,2,2015,2015-06-30
+HPQ,HP Inc.,Language Complexity,CQ22015,13.66,2,2015,2015-06-30
+IBM,IBM,Language Complexity,CQ22015,12.82,2,2015,2015-06-30
+INTC,Intel,Language Complexity,CQ22015,10.61,2,2015,2015-06-30
+INTU,Intuit,Language Complexity,CQ22015,11.24,2,2015,2015-06-30
+LRCX,Lam Research,Language Complexity,CQ22015,12.31,2,2015,2015-06-30
+MU,Micron Technology,Language Complexity,CQ22015,12.22,2,2015,2015-06-30
+MSFT,Microsoft,Language Complexity,CQ22015,12.92,2,2015,2015-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22015,11.6,2,2015,2015-06-30
+NTAP,NetApp,Language Complexity,CQ22015,13.25,2,2015,2015-06-30
+NVDA,Nvidia,Language Complexity,CQ22015,11.2,2,2015,2015-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22015,10.6,2,2015,2015-06-30
+TXN,Texas Instruments,Language Complexity,CQ22015,10.95,2,2015,2015-06-30
+APD,Air Products,Language Complexity,CQ22015,11.87,2,2015,2015-06-30
+AVY,Avery Dennison,Language Complexity,CQ22015,11.55,2,2015,2015-06-30
+ECL,Ecolab,Language Complexity,CQ22015,11.41,2,2015,2015-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22015,12.73,2,2015,2015-06-30
+IP,International Paper,Language Complexity,CQ22015,11.5,2,2015,2015-06-30
+LIN,Linde plc,Language Complexity,CQ22015,12.69,2,2015,2015-06-30
+NEM,Newmont,Language Complexity,CQ22015,11.17,2,2015,2015-06-30
+NUE,Nucor,Language Complexity,CQ22015,11.56,2,2015,2015-06-30
+AMT,American Tower,Language Complexity,CQ22015,14.08,2,2015,2015-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22015,12.18,2,2015,2015-06-30
+EQR,Equity Residential,Language Complexity,CQ22015,11.71,2,2015,2015-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22015,11.74,2,2015,2015-06-30
+IRM,Iron Mountain,Language Complexity,CQ22015,14.4,2,2015,2015-06-30
+PLD,Prologis,Language Complexity,CQ22015,11.43,2,2015,2015-06-30
+VTR,Ventas,Language Complexity,CQ22015,12.2,2,2015,2015-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22015,11.14,2,2015,2015-06-30
+AES,AES Corporation,Language Complexity,CQ22015,12.88,2,2015,2015-06-30
+AEE,Ameren,Language Complexity,CQ22015,14.13,2,2015,2015-06-30
+AEP,American Electric Power,Language Complexity,CQ22015,12.24,2,2015,2015-06-30
+CMS,CMS Energy,Language Complexity,CQ22015,11.69,2,2015,2015-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22015,13.38,2,2015,2015-06-30
+DUK,Duke Energy,Language Complexity,CQ22015,12.82,2,2015,2015-06-30
+EIX,Edison International,Language Complexity,CQ22015,13.75,2,2015,2015-06-30
+ETR,Entergy,Language Complexity,CQ22015,13.47,2,2015,2015-06-30
+EXC,Exelon,Language Complexity,CQ22015,12.27,2,2015,2015-06-30
+NEE,NextEra Energy,Language Complexity,CQ22015,13.69,2,2015,2015-06-30
+SO,Southern Company,Language Complexity,CQ22015,11.62,2,2015,2015-06-30
+XEL,Xcel Energy,Language Complexity,CQ22015,12.67,2,2015,2015-06-30
+T,AT&T,Net Positivity,CQ32015,2.01,3,2015,2015-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32015,1.68,3,2015,2015-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32015,,3,2015,2015-09-30
+META,Meta Platforms,Net Positivity,CQ32015,1.48,3,2015,2015-09-30
+NFLX,Netflix,Net Positivity,CQ32015,1.19,3,2015,2015-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32015,1.33,3,2015,2015-09-30
+OMC,Omnicom Group,Net Positivity,CQ32015,0.62,3,2015,2015-09-30
+VZ,Verizon,Net Positivity,CQ32015,0.94,3,2015,2015-09-30
+AMZN,Amazon,Net Positivity,CQ32015,1.34,3,2015,2015-09-30
+AZO,AutoZone,Net Positivity,CQ32015,1.43,3,2015,2015-09-30
+BBY,Best Buy,Net Positivity,CQ32015,1.33,3,2015,2015-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32015,1.03,3,2015,2015-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32015,1.72,3,2015,2015-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32015,1.63,3,2015,2015-09-30
+F,Ford Motor Company,Net Positivity,CQ32015,1.55,3,2015,2015-09-30
+GM,General Motors,Net Positivity,CQ32015,1.26,3,2015,2015-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32015,0.87,3,2015,2015-09-30
+HAS,Hasbro,Net Positivity,CQ32015,1.15,3,2015,2015-09-30
+LOW,Lowe's,Net Positivity,CQ32015,2.1,3,2015,2015-09-30
+MCD,McDonald's,Net Positivity,CQ32015,1.13,3,2015,2015-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32015,2.73,3,2015,2015-09-30
+ROST,Ross Stores,Net Positivity,CQ32015,0.96,3,2015,2015-09-30
+TJX,TJX Companies,Net Positivity,CQ32015,1.69,3,2015,2015-09-30
+TGT,Target,Net Positivity,CQ32015,1.92,3,2015,2015-09-30
+MO,Altria,Net Positivity,CQ32015,1.55,3,2015,2015-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32015,0.97,3,2015,2015-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32015,0.24,3,2015,2015-09-30
+CLX,Clorox,Net Positivity,CQ32015,1.87,3,2015,2015-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32015,1.57,3,2015,2015-09-30
+COST,Costco,Net Positivity,CQ32015,1.0,3,2015,2015-09-30
+GIS,General Mills,Net Positivity,CQ32015,1.46,3,2015,2015-09-30
+HSY,Hershey Company,Net Positivity,CQ32015,0.7,3,2015,2015-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32015,1.18,3,2015,2015-09-30
+KR,Kroger,Net Positivity,CQ32015,1.52,3,2015,2015-09-30
+MKC,McCormick & Company,Net Positivity,CQ32015,1.8,3,2015,2015-09-30
+PEP,PepsiCo,Net Positivity,CQ32015,1.74,3,2015,2015-09-30
+PG,Procter & Gamble,Net Positivity,CQ32015,1.1,3,2015,2015-09-30
+SYY,Sysco,Net Positivity,CQ32015,1.37,3,2015,2015-09-30
+WMT,Walmart,Net Positivity,CQ32015,2.18,3,2015,2015-09-30
+APA,APA Corporation,Net Positivity,CQ32015,1.12,3,2015,2015-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32015,,3,2015,2015-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32015,0.86,3,2015,2015-09-30
+EOG,EOG Resources,Net Positivity,CQ32015,1.82,3,2015,2015-09-30
+XOM,ExxonMobil,Net Positivity,CQ32015,1.13,3,2015,2015-09-30
+HAL,Halliburton,Net Positivity,CQ32015,0.13,3,2015,2015-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32015,0.98,3,2015,2015-09-30
+SLB,Schlumberger,Net Positivity,CQ32015,0.57,3,2015,2015-09-30
+VLO,Valero Energy,Net Positivity,CQ32015,0.53,3,2015,2015-09-30
+AFL,Aflac,Net Positivity,CQ32015,0.87,3,2015,2015-09-30
+ALL,Allstate,Net Positivity,CQ32015,-0.1,3,2015,2015-09-30
+AXP,American Express,Net Positivity,CQ32015,0.71,3,2015,2015-09-30
+AIG,American International Group,Net Positivity,CQ32015,0.24,3,2015,2015-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32015,1.32,3,2015,2015-09-30
+AON,Aon plc,Net Positivity,CQ32015,1.5,3,2015,2015-09-30
+BK,BNY Mellon,Net Positivity,CQ32015,1.33,3,2015,2015-09-30
+BAC,Bank of America,Net Positivity,CQ32015,0.55,3,2015,2015-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32015,,3,2015,2015-09-30
+BLK,BlackRock,Net Positivity,CQ32015,0.83,3,2015,2015-09-30
+CME,CME Group,Net Positivity,CQ32015,0.8,3,2015,2015-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32015,,3,2015,2015-09-30
+CB,Chubb Limited,Net Positivity,CQ32015,0.38,3,2015,2015-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32015,0.87,3,2015,2015-09-30
+C,Citigroup,Net Positivity,CQ32015,0.91,3,2015,2015-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32015,1.12,3,2015,2015-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32015,1.17,3,2015,2015-09-30
+FISV,Fiserv,Net Positivity,CQ32015,1.61,3,2015,2015-09-30
+GS,Goldman Sachs,Net Positivity,CQ32015,0.15,3,2015,2015-09-30
+HIG,Hartford Financial,Net Positivity,CQ32015,1.82,3,2015,2015-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32015,1.1,3,2015,2015-09-30
+IVZ,Invesco,Net Positivity,CQ32015,0.99,3,2015,2015-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32015,0.62,3,2015,2015-09-30
+KEY,KeyCorp,Net Positivity,CQ32015,1.2,3,2015,2015-09-30
+MA,Mastercard,Net Positivity,CQ32015,0.45,3,2015,2015-09-30
+MET,MetLife,Net Positivity,CQ32015,0.21,3,2015,2015-09-30
+MS,Morgan Stanley,Net Positivity,CQ32015,0.98,3,2015,2015-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32015,2.1,3,2015,2015-09-30
+NTRS,Northern Trust,Net Positivity,CQ32015,0.77,3,2015,2015-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32015,0.49,3,2015,2015-09-30
+PRU,Prudential Financial,Net Positivity,CQ32015,0.98,3,2015,2015-09-30
+RF,Regions Financial,Net Positivity,CQ32015,0.68,3,2015,2015-09-30
+SPGI,S&P Global,Net Positivity,CQ32015,1.31,3,2015,2015-09-30
+STT,State Street,Net Positivity,CQ32015,0.53,3,2015,2015-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32015,,3,2015,2015-09-30
+TRV,Travelers Companies,Net Positivity,CQ32015,0.96,3,2015,2015-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32015,1.02,3,2015,2015-09-30
+V,Visa,Net Positivity,CQ32015,0.38,3,2015,2015-09-30
+WFC,Wells Fargo,Net Positivity,CQ32015,0.96,3,2015,2015-09-30
+ABBV,AbbVie,Net Positivity,CQ32015,1.54,3,2015,2015-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32015,0.94,3,2015,2015-09-30
+A,Agilent Technologies,Net Positivity,CQ32015,0.72,3,2015,2015-09-30
+AMGN,Amgen,Net Positivity,CQ32015,1.57,3,2015,2015-09-30
+BAX,Baxter International,Net Positivity,CQ32015,1.3,3,2015,2015-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32015,1.74,3,2015,2015-09-30
+BIIB,Biogen,Net Positivity,CQ32015,1.07,3,2015,2015-09-30
+BSX,Boston Scientific,Net Positivity,CQ32015,1.07,3,2015,2015-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32015,1.65,3,2015,2015-09-30
+CVS,CVS Health,Net Positivity,CQ32015,1.29,3,2015,2015-09-30
+COR,Cencora,Net Positivity,CQ32015,,3,2015,2015-09-30
+CI,Cigna,Net Positivity,CQ32015,,3,2015,2015-09-30
+DVA,DaVita,Net Positivity,CQ32015,0.7,3,2015,2015-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32015,1.88,3,2015,2015-09-30
+LLY,Eli Lilly,Net Positivity,CQ32015,1.0,3,2015,2015-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32015,1.21,3,2015,2015-09-30
+HUM,Humana,Net Positivity,CQ32015,,3,2015,2015-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32015,1.01,3,2015,2015-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32015,1.75,3,2015,2015-09-30
+LH,Labcorp,Net Positivity,CQ32015,1.58,3,2015,2015-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32015,1.69,3,2015,2015-09-30
+MDT,Medtronic,Net Positivity,CQ32015,1.36,3,2015,2015-09-30
+MRK,Merck & Co.,Net Positivity,CQ32015,0.78,3,2015,2015-09-30
+PFE,Pfizer,Net Positivity,CQ32015,1.12,3,2015,2015-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32015,1.77,3,2015,2015-09-30
+WAT,Waters Corporation,Net Positivity,CQ32015,1.41,3,2015,2015-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32015,1.93,3,2015,2015-09-30
+MMM,3M,Net Positivity,CQ32015,1.06,3,2015,2015-09-30
+AME,Ametek,Net Positivity,CQ32015,0.74,3,2015,2015-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32015,0.94,3,2015,2015-09-30
+BA,Boeing,Net Positivity,CQ32015,1.96,3,2015,2015-09-30
+CSX,CSX Corporation,Net Positivity,CQ32015,1.26,3,2015,2015-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32015,-0.12,3,2015,2015-09-30
+CTAS,Cintas,Net Positivity,CQ32015,1.01,3,2015,2015-09-30
+CMI,Cummins,Net Positivity,CQ32015,0.57,3,2015,2015-09-30
+DE,Deere & Company,Net Positivity,CQ32015,0.01,3,2015,2015-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32015,-0.43,3,2015,2015-09-30
+EMR,Emerson Electric,Net Positivity,CQ32015,-1.02,3,2015,2015-09-30
+EFX,Equifax,Net Positivity,CQ32015,1.18,3,2015,2015-09-30
+EXPD,Expeditors International,Net Positivity,CQ32015,,3,2015,2015-09-30
+FDX,FedEx,Net Positivity,CQ32015,0.71,3,2015,2015-09-30
+GE,GE Aerospace,Net Positivity,CQ32015,0.85,3,2015,2015-09-30
+GD,General Dynamics,Net Positivity,CQ32015,0.93,3,2015,2015-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32015,0.98,3,2015,2015-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32015,0.96,3,2015,2015-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32015,0.78,3,2015,2015-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32015,0.89,3,2015,2015-09-30
+PCAR,Paccar,Net Positivity,CQ32015,1.76,3,2015,2015-09-30
+RTX,RTX Corporation,Net Positivity,CQ32015,-0.25,3,2015,2015-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32015,0.61,3,2015,2015-09-30
+ROP,Roper Technologies,Net Positivity,CQ32015,0.23,3,2015,2015-09-30
+SNA,Snap-on,Net Positivity,CQ32015,1.49,3,2015,2015-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32015,1.69,3,2015,2015-09-30
+UPS,United Parcel Service,Net Positivity,CQ32015,1.32,3,2015,2015-09-30
+WM,Waste Management,Net Positivity,CQ32015,0.93,3,2015,2015-09-30
+ACN,Accenture,Net Positivity,CQ32015,1.28,3,2015,2015-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32015,2.43,3,2015,2015-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32015,0.74,3,2015,2015-09-30
+APH,Amphenol,Net Positivity,CQ32015,1.76,3,2015,2015-09-30
+ADI,Analog Devices,Net Positivity,CQ32015,1.02,3,2015,2015-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32015,1.72,3,2015,2015-09-30
+AMAT,Applied Materials,Net Positivity,CQ32015,1.16,3,2015,2015-09-30
+ADSK,Autodesk,Net Positivity,CQ32015,0.59,3,2015,2015-09-30
+AVGO,Broadcom,Net Positivity,CQ32015,0.72,3,2015,2015-09-30
+CSCO,Cisco,Net Positivity,CQ32015,1.42,3,2015,2015-09-30
+CTSH,Cognizant,Net Positivity,CQ32015,1.75,3,2015,2015-09-30
+HPQ,HP Inc.,Net Positivity,CQ32015,1.29,3,2015,2015-09-30
+IBM,IBM,Net Positivity,CQ32015,0.99,3,2015,2015-09-30
+INTC,Intel,Net Positivity,CQ32015,0.75,3,2015,2015-09-30
+INTU,Intuit,Net Positivity,CQ32015,0.87,3,2015,2015-09-30
+LRCX,Lam Research,Net Positivity,CQ32015,1.34,3,2015,2015-09-30
+MU,Micron Technology,Net Positivity,CQ32015,,3,2015,2015-09-30
+MSFT,Microsoft,Net Positivity,CQ32015,1.28,3,2015,2015-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32015,1.43,3,2015,2015-09-30
+NTAP,NetApp,Net Positivity,CQ32015,1.11,3,2015,2015-09-30
+NVDA,Nvidia,Net Positivity,CQ32015,1.28,3,2015,2015-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32015,0.56,3,2015,2015-09-30
+TXN,Texas Instruments,Net Positivity,CQ32015,-0.1,3,2015,2015-09-30
+APD,Air Products,Net Positivity,CQ32015,1.49,3,2015,2015-09-30
+AVY,Avery Dennison,Net Positivity,CQ32015,0.63,3,2015,2015-09-30
+ECL,Ecolab,Net Positivity,CQ32015,1.05,3,2015,2015-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32015,2.13,3,2015,2015-09-30
+IP,International Paper,Net Positivity,CQ32015,0.91,3,2015,2015-09-30
+LIN,Linde plc,Net Positivity,CQ32015,0.23,3,2015,2015-09-30
+NEM,Newmont,Net Positivity,CQ32015,1.52,3,2015,2015-09-30
+NUE,Nucor,Net Positivity,CQ32015,0.9,3,2015,2015-09-30
+AMT,American Tower,Net Positivity,CQ32015,0.88,3,2015,2015-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32015,0.85,3,2015,2015-09-30
+EQR,Equity Residential,Net Positivity,CQ32015,1.16,3,2015,2015-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32015,0.67,3,2015,2015-09-30
+IRM,Iron Mountain,Net Positivity,CQ32015,0.44,3,2015,2015-09-30
+PLD,Prologis,Net Positivity,CQ32015,0.45,3,2015,2015-09-30
+VTR,Ventas,Net Positivity,CQ32015,1.9,3,2015,2015-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32015,0.65,3,2015,2015-09-30
+AES,AES Corporation,Net Positivity,CQ32015,1.17,3,2015,2015-09-30
+AEE,Ameren,Net Positivity,CQ32015,0.73,3,2015,2015-09-30
+AEP,American Electric Power,Net Positivity,CQ32015,0.69,3,2015,2015-09-30
+CMS,CMS Energy,Net Positivity,CQ32015,1.05,3,2015,2015-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32015,1.41,3,2015,2015-09-30
+DUK,Duke Energy,Net Positivity,CQ32015,0.4,3,2015,2015-09-30
+EIX,Edison International,Net Positivity,CQ32015,0.13,3,2015,2015-09-30
+ETR,Entergy,Net Positivity,CQ32015,0.5,3,2015,2015-09-30
+EXC,Exelon,Net Positivity,CQ32015,-0.05,3,2015,2015-09-30
+NEE,NextEra Energy,Net Positivity,CQ32015,1.0,3,2015,2015-09-30
+SO,Southern Company,Net Positivity,CQ32015,0.57,3,2015,2015-09-30
+XEL,Xcel Energy,Net Positivity,CQ32015,0.75,3,2015,2015-09-30
+T,AT&T,Numeric Transeprency,CQ32015,1.7,3,2015,2015-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32015,1.96,3,2015,2015-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32015,,3,2015,2015-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32015,1.83,3,2015,2015-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32015,0.88,3,2015,2015-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32015,2.85,3,2015,2015-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32015,3.11,3,2015,2015-09-30
+VZ,Verizon,Numeric Transeprency,CQ32015,2.67,3,2015,2015-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32015,2.65,3,2015,2015-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32015,2.91,3,2015,2015-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32015,2.33,3,2015,2015-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32015,1.67,3,2015,2015-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32015,1.68,3,2015,2015-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32015,1.65,3,2015,2015-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32015,1.62,3,2015,2015-09-30
+GM,General Motors,Numeric Transeprency,CQ32015,2.05,3,2015,2015-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32015,4.1,3,2015,2015-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32015,1.8,3,2015,2015-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32015,2.53,3,2015,2015-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32015,1.29,3,2015,2015-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32015,1.21,3,2015,2015-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32015,2.29,3,2015,2015-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32015,1.86,3,2015,2015-09-30
+TGT,Target,Numeric Transeprency,CQ32015,1.34,3,2015,2015-09-30
+MO,Altria,Numeric Transeprency,CQ32015,2.61,3,2015,2015-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32015,2.63,3,2015,2015-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32015,1.57,3,2015,2015-09-30
+CLX,Clorox,Numeric Transeprency,CQ32015,1.92,3,2015,2015-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32015,1.39,3,2015,2015-09-30
+COST,Costco,Numeric Transeprency,CQ32015,3.51,3,2015,2015-09-30
+GIS,General Mills,Numeric Transeprency,CQ32015,2.47,3,2015,2015-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32015,2.0,3,2015,2015-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32015,1.25,3,2015,2015-09-30
+KR,Kroger,Numeric Transeprency,CQ32015,1.18,3,2015,2015-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32015,2.57,3,2015,2015-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32015,1.83,3,2015,2015-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32015,2.56,3,2015,2015-09-30
+SYY,Sysco,Numeric Transeprency,CQ32015,2.07,3,2015,2015-09-30
+WMT,Walmart,Numeric Transeprency,CQ32015,2.25,3,2015,2015-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32015,2.78,3,2015,2015-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32015,,3,2015,2015-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32015,2.24,3,2015,2015-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32015,2.23,3,2015,2015-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32015,2.6,3,2015,2015-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32015,1.52,3,2015,2015-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32015,3.3,3,2015,2015-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32015,1.76,3,2015,2015-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32015,1.59,3,2015,2015-09-30
+AFL,Aflac,Numeric Transeprency,CQ32015,1.72,3,2015,2015-09-30
+ALL,Allstate,Numeric Transeprency,CQ32015,2.53,3,2015,2015-09-30
+AXP,American Express,Numeric Transeprency,CQ32015,1.69,3,2015,2015-09-30
+AIG,American International Group,Numeric Transeprency,CQ32015,2.21,3,2015,2015-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32015,1.55,3,2015,2015-09-30
+AON,Aon plc,Numeric Transeprency,CQ32015,2.65,3,2015,2015-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32015,1.9,3,2015,2015-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32015,2.96,3,2015,2015-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32015,,3,2015,2015-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32015,1.74,3,2015,2015-09-30
+CME,CME Group,Numeric Transeprency,CQ32015,2.28,3,2015,2015-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32015,,3,2015,2015-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32015,1.79,3,2015,2015-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32015,2.16,3,2015,2015-09-30
+C,Citigroup,Numeric Transeprency,CQ32015,2.33,3,2015,2015-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32015,2.74,3,2015,2015-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32015,2.09,3,2015,2015-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32015,2.48,3,2015,2015-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32015,1.82,3,2015,2015-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32015,2.23,3,2015,2015-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32015,1.91,3,2015,2015-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32015,1.48,3,2015,2015-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32015,2.78,3,2015,2015-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32015,2.19,3,2015,2015-09-30
+MA,Mastercard,Numeric Transeprency,CQ32015,1.91,3,2015,2015-09-30
+MET,MetLife,Numeric Transeprency,CQ32015,2.55,3,2015,2015-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32015,2.22,3,2015,2015-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32015,2.66,3,2015,2015-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32015,2.89,3,2015,2015-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32015,2.89,3,2015,2015-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32015,2.96,3,2015,2015-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32015,2.01,3,2015,2015-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32015,2.59,3,2015,2015-09-30
+STT,State Street,Numeric Transeprency,CQ32015,2.13,3,2015,2015-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32015,,3,2015,2015-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32015,1.95,3,2015,2015-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32015,2.17,3,2015,2015-09-30
+V,Visa,Numeric Transeprency,CQ32015,1.29,3,2015,2015-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32015,2.12,3,2015,2015-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32015,2.19,3,2015,2015-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32015,1.23,3,2015,2015-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32015,1.64,3,2015,2015-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32015,2.52,3,2015,2015-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32015,1.98,3,2015,2015-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32015,2.29,3,2015,2015-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32015,1.79,3,2015,2015-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32015,4.28,3,2015,2015-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32015,0.93,3,2015,2015-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32015,2.71,3,2015,2015-09-30
+COR,Cencora,Numeric Transeprency,CQ32015,,3,2015,2015-09-30
+CI,Cigna,Numeric Transeprency,CQ32015,,3,2015,2015-09-30
+DVA,DaVita,Numeric Transeprency,CQ32015,1.7,3,2015,2015-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32015,1.93,3,2015,2015-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32015,1.9,3,2015,2015-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32015,2.27,3,2015,2015-09-30
+HUM,Humana,Numeric Transeprency,CQ32015,,3,2015,2015-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32015,2.87,3,2015,2015-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32015,2.75,3,2015,2015-09-30
+LH,Labcorp,Numeric Transeprency,CQ32015,2.44,3,2015,2015-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32015,1.91,3,2015,2015-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32015,1.65,3,2015,2015-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32015,1.45,3,2015,2015-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32015,2.21,3,2015,2015-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32015,2.49,3,2015,2015-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32015,1.84,3,2015,2015-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32015,2.4,3,2015,2015-09-30
+MMM,3M,Numeric Transeprency,CQ32015,2.99,3,2015,2015-09-30
+AME,Ametek,Numeric Transeprency,CQ32015,2.61,3,2015,2015-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32015,2.63,3,2015,2015-09-30
+BA,Boeing,Numeric Transeprency,CQ32015,2.56,3,2015,2015-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32015,1.62,3,2015,2015-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32015,1.76,3,2015,2015-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32015,2.3,3,2015,2015-09-30
+CMI,Cummins,Numeric Transeprency,CQ32015,3.27,3,2015,2015-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32015,3.03,3,2015,2015-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32015,2.93,3,2015,2015-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32015,2.08,3,2015,2015-09-30
+EFX,Equifax,Numeric Transeprency,CQ32015,2.98,3,2015,2015-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32015,,3,2015,2015-09-30
+FDX,FedEx,Numeric Transeprency,CQ32015,1.53,3,2015,2015-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32015,5.7,3,2015,2015-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32015,3.24,3,2015,2015-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32015,3.17,3,2015,2015-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32015,1.85,3,2015,2015-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32015,2.06,3,2015,2015-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32015,1.59,3,2015,2015-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32015,2.29,3,2015,2015-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32015,2.91,3,2015,2015-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32015,2.24,3,2015,2015-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32015,3.01,3,2015,2015-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32015,3.5,3,2015,2015-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32015,2.84,3,2015,2015-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32015,1.61,3,2015,2015-09-30
+WM,Waste Management,Numeric Transeprency,CQ32015,2.94,3,2015,2015-09-30
+ACN,Accenture,Numeric Transeprency,CQ32015,3.04,3,2015,2015-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32015,1.72,3,2015,2015-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32015,2.02,3,2015,2015-09-30
+APH,Amphenol,Numeric Transeprency,CQ32015,1.87,3,2015,2015-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32015,1.75,3,2015,2015-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32015,3.23,3,2015,2015-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32015,1.99,3,2015,2015-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32015,0.81,3,2015,2015-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32015,1.99,3,2015,2015-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32015,2.76,3,2015,2015-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32015,1.63,3,2015,2015-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32015,2.65,3,2015,2015-09-30
+IBM,IBM,Numeric Transeprency,CQ32015,2.2,3,2015,2015-09-30
+INTC,Intel,Numeric Transeprency,CQ32015,1.98,3,2015,2015-09-30
+INTU,Intuit,Numeric Transeprency,CQ32015,2.15,3,2015,2015-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32015,2.35,3,2015,2015-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32015,,3,2015,2015-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32015,2.28,3,2015,2015-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32015,2.79,3,2015,2015-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32015,1.64,3,2015,2015-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32015,1.76,3,2015,2015-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32015,2.31,3,2015,2015-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32015,2.13,3,2015,2015-09-30
+APD,Air Products,Numeric Transeprency,CQ32015,2.79,3,2015,2015-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32015,1.38,3,2015,2015-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32015,1.52,3,2015,2015-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32015,2.23,3,2015,2015-09-30
+IP,International Paper,Numeric Transeprency,CQ32015,1.55,3,2015,2015-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32015,1.89,3,2015,2015-09-30
+NEM,Newmont,Numeric Transeprency,CQ32015,3.08,3,2015,2015-09-30
+NUE,Nucor,Numeric Transeprency,CQ32015,1.59,3,2015,2015-09-30
+AMT,American Tower,Numeric Transeprency,CQ32015,3.24,3,2015,2015-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32015,2.98,3,2015,2015-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32015,2.37,3,2015,2015-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32015,3.18,3,2015,2015-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32015,2.37,3,2015,2015-09-30
+PLD,Prologis,Numeric Transeprency,CQ32015,3.0,3,2015,2015-09-30
+VTR,Ventas,Numeric Transeprency,CQ32015,2.72,3,2015,2015-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32015,1.78,3,2015,2015-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32015,3.39,3,2015,2015-09-30
+AEE,Ameren,Numeric Transeprency,CQ32015,3.47,3,2015,2015-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32015,2.23,3,2015,2015-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32015,2.53,3,2015,2015-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32015,4.12,3,2015,2015-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32015,2.67,3,2015,2015-09-30
+EIX,Edison International,Numeric Transeprency,CQ32015,2.43,3,2015,2015-09-30
+ETR,Entergy,Numeric Transeprency,CQ32015,2.34,3,2015,2015-09-30
+EXC,Exelon,Numeric Transeprency,CQ32015,2.49,3,2015,2015-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32015,2.74,3,2015,2015-09-30
+SO,Southern Company,Numeric Transeprency,CQ32015,2.72,3,2015,2015-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32015,1.77,3,2015,2015-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32015,29.63,3,2015,2015-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32015,26.09,3,2015,2015-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32015,,3,2015,2015-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32015,28.57,3,2015,2015-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32015,5.13,3,2015,2015-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32015,42.86,3,2015,2015-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32015,31.58,3,2015,2015-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32015,26.47,3,2015,2015-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32015,42.5,3,2015,2015-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32015,32.0,3,2015,2015-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32015,20.69,3,2015,2015-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32015,38.46,3,2015,2015-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32015,35.71,3,2015,2015-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32015,48.28,3,2015,2015-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32015,61.9,3,2015,2015-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32015,47.37,3,2015,2015-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32015,63.64,3,2015,2015-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32015,28.13,3,2015,2015-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32015,46.67,3,2015,2015-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32015,23.53,3,2015,2015-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32015,40.0,3,2015,2015-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32015,34.38,3,2015,2015-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32015,24.14,3,2015,2015-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32015,40.0,3,2015,2015-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32015,35.29,3,2015,2015-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32015,47.06,3,2015,2015-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32015,30.77,3,2015,2015-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32015,43.33,3,2015,2015-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32015,42.11,3,2015,2015-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32015,35.29,3,2015,2015-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32015,60.0,3,2015,2015-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32015,63.64,3,2015,2015-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32015,45.83,3,2015,2015-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32015,34.62,3,2015,2015-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32015,60.0,3,2015,2015-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32015,0.0,3,2015,2015-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32015,30.3,3,2015,2015-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32015,,3,2015,2015-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32015,25.0,3,2015,2015-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32015,8.33,3,2015,2015-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32015,62.5,3,2015,2015-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32015,22.86,3,2015,2015-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32015,26.09,3,2015,2015-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32015,20.51,3,2015,2015-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32015,55.0,3,2015,2015-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32015,52.63,3,2015,2015-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32015,0.0,3,2015,2015-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32015,37.93,3,2015,2015-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32015,33.33,3,2015,2015-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32015,46.15,3,2015,2015-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32015,38.1,3,2015,2015-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32015,60.0,3,2015,2015-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32015,34.48,3,2015,2015-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32015,,3,2015,2015-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32015,33.33,3,2015,2015-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32015,66.67,3,2015,2015-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32015,,3,2015,2015-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32015,40.91,3,2015,2015-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32015,46.15,3,2015,2015-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32015,36.84,3,2015,2015-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32015,36.67,3,2015,2015-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32015,47.37,3,2015,2015-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32015,40.0,3,2015,2015-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32015,46.67,3,2015,2015-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32015,60.0,3,2015,2015-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32015,48.28,3,2015,2015-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32015,35.48,3,2015,2015-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32015,30.56,3,2015,2015-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32015,55.0,3,2015,2015-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32015,34.62,3,2015,2015-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32015,61.54,3,2015,2015-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32015,68.42,3,2015,2015-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32015,35.71,3,2015,2015-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32015,33.33,3,2015,2015-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32015,31.25,3,2015,2015-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32015,90.91,3,2015,2015-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32015,55.0,3,2015,2015-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32015,,3,2015,2015-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32015,36.0,3,2015,2015-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32015,35.71,3,2015,2015-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32015,44.44,3,2015,2015-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32015,44.83,3,2015,2015-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32015,35.29,3,2015,2015-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32015,30.43,3,2015,2015-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32015,76.47,3,2015,2015-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32015,43.48,3,2015,2015-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32015,66.67,3,2015,2015-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32015,66.67,3,2015,2015-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32015,42.86,3,2015,2015-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32015,26.09,3,2015,2015-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32015,39.13,3,2015,2015-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32015,46.15,3,2015,2015-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32015,,3,2015,2015-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32015,,3,2015,2015-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32015,28.57,3,2015,2015-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32015,40.0,3,2015,2015-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32015,47.83,3,2015,2015-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32015,59.09,3,2015,2015-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32015,,3,2015,2015-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32015,31.58,3,2015,2015-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32015,45.45,3,2015,2015-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32015,55.0,3,2015,2015-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32015,24.0,3,2015,2015-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32015,52.38,3,2015,2015-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32015,65.0,3,2015,2015-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32015,47.37,3,2015,2015-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32015,42.11,3,2015,2015-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32015,33.33,3,2015,2015-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32015,58.82,3,2015,2015-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32015,42.86,3,2015,2015-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32015,45.45,3,2015,2015-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32015,75.0,3,2015,2015-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32015,29.63,3,2015,2015-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32015,52.94,3,2015,2015-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32015,28.57,3,2015,2015-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32015,78.26,3,2015,2015-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32015,34.62,3,2015,2015-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32015,53.85,3,2015,2015-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32015,69.23,3,2015,2015-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32015,,3,2015,2015-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32015,43.33,3,2015,2015-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32015,35.29,3,2015,2015-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32015,47.37,3,2015,2015-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32015,63.16,3,2015,2015-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32015,18.75,3,2015,2015-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32015,62.96,3,2015,2015-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32015,61.11,3,2015,2015-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32015,45.0,3,2015,2015-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32015,52.38,3,2015,2015-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32015,80.0,3,2015,2015-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32015,83.33,3,2015,2015-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32015,35.29,3,2015,2015-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32015,71.43,3,2015,2015-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32015,32.14,3,2015,2015-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32015,53.85,3,2015,2015-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32015,54.17,3,2015,2015-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32015,71.43,3,2015,2015-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32015,56.67,3,2015,2015-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32015,13.33,3,2015,2015-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32015,52.17,3,2015,2015-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32015,52.38,3,2015,2015-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32015,31.58,3,2015,2015-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32015,32.5,3,2015,2015-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32015,30.0,3,2015,2015-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32015,20.69,3,2015,2015-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32015,38.46,3,2015,2015-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32015,24.49,3,2015,2015-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32015,47.37,3,2015,2015-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32015,47.62,3,2015,2015-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32015,,3,2015,2015-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32015,26.67,3,2015,2015-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32015,41.18,3,2015,2015-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32015,45.71,3,2015,2015-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32015,44.12,3,2015,2015-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32015,17.02,3,2015,2015-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32015,27.78,3,2015,2015-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32015,47.37,3,2015,2015-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32015,70.0,3,2015,2015-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32015,76.19,3,2015,2015-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32015,63.16,3,2015,2015-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32015,53.33,3,2015,2015-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32015,41.67,3,2015,2015-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32015,52.63,3,2015,2015-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32015,42.11,3,2015,2015-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32015,72.73,3,2015,2015-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32015,71.43,3,2015,2015-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32015,60.0,3,2015,2015-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32015,63.64,3,2015,2015-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32015,50.0,3,2015,2015-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32015,60.0,3,2015,2015-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32015,66.67,3,2015,2015-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32015,8.33,3,2015,2015-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32015,38.1,3,2015,2015-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32015,17.65,3,2015,2015-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32015,31.25,3,2015,2015-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32015,36.36,3,2015,2015-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32015,44.44,3,2015,2015-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32015,20.0,3,2015,2015-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32015,31.58,3,2015,2015-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32015,25.0,3,2015,2015-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32015,38.1,3,2015,2015-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32015,12.5,3,2015,2015-09-30
+T,AT&T,Language Complexity,CQ32015,11.69,3,2015,2015-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32015,12.35,3,2015,2015-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32015,,3,2015,2015-09-30
+META,Meta Platforms,Language Complexity,CQ32015,11.66,3,2015,2015-09-30
+NFLX,Netflix,Language Complexity,CQ32015,10.22,3,2015,2015-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32015,14.26,3,2015,2015-09-30
+OMC,Omnicom Group,Language Complexity,CQ32015,12.98,3,2015,2015-09-30
+VZ,Verizon,Language Complexity,CQ32015,12.26,3,2015,2015-09-30
+AMZN,Amazon,Language Complexity,CQ32015,11.25,3,2015,2015-09-30
+AZO,AutoZone,Language Complexity,CQ32015,12.49,3,2015,2015-09-30
+BBY,Best Buy,Language Complexity,CQ32015,13.84,3,2015,2015-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32015,11.8,3,2015,2015-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32015,13.98,3,2015,2015-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32015,11.51,3,2015,2015-09-30
+F,Ford Motor Company,Language Complexity,CQ32015,10.47,3,2015,2015-09-30
+GM,General Motors,Language Complexity,CQ32015,11.47,3,2015,2015-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32015,12.44,3,2015,2015-09-30
+HAS,Hasbro,Language Complexity,CQ32015,12.31,3,2015,2015-09-30
+LOW,Lowe's,Language Complexity,CQ32015,12.51,3,2015,2015-09-30
+MCD,McDonald's,Language Complexity,CQ32015,13.71,3,2015,2015-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32015,13.56,3,2015,2015-09-30
+ROST,Ross Stores,Language Complexity,CQ32015,11.13,3,2015,2015-09-30
+TJX,TJX Companies,Language Complexity,CQ32015,10.87,3,2015,2015-09-30
+TGT,Target,Language Complexity,CQ32015,13.95,3,2015,2015-09-30
+MO,Altria,Language Complexity,CQ32015,11.34,3,2015,2015-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32015,11.86,3,2015,2015-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32015,12.17,3,2015,2015-09-30
+CLX,Clorox,Language Complexity,CQ32015,11.45,3,2015,2015-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32015,13.59,3,2015,2015-09-30
+COST,Costco,Language Complexity,CQ32015,10.49,3,2015,2015-09-30
+GIS,General Mills,Language Complexity,CQ32015,12.01,3,2015,2015-09-30
+HSY,Hershey Company,Language Complexity,CQ32015,12.34,3,2015,2015-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32015,11.18,3,2015,2015-09-30
+KR,Kroger,Language Complexity,CQ32015,12.43,3,2015,2015-09-30
+MKC,McCormick & Company,Language Complexity,CQ32015,13.0,3,2015,2015-09-30
+PEP,PepsiCo,Language Complexity,CQ32015,13.49,3,2015,2015-09-30
+PG,Procter & Gamble,Language Complexity,CQ32015,12.72,3,2015,2015-09-30
+SYY,Sysco,Language Complexity,CQ32015,11.99,3,2015,2015-09-30
+WMT,Walmart,Language Complexity,CQ32015,15.23,3,2015,2015-09-30
+APA,APA Corporation,Language Complexity,CQ32015,11.65,3,2015,2015-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32015,,3,2015,2015-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32015,12.77,3,2015,2015-09-30
+EOG,EOG Resources,Language Complexity,CQ32015,12.02,3,2015,2015-09-30
+XOM,ExxonMobil,Language Complexity,CQ32015,11.7,3,2015,2015-09-30
+HAL,Halliburton,Language Complexity,CQ32015,13.95,3,2015,2015-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32015,12.32,3,2015,2015-09-30
+SLB,Schlumberger,Language Complexity,CQ32015,13.84,3,2015,2015-09-30
+VLO,Valero Energy,Language Complexity,CQ32015,11.29,3,2015,2015-09-30
+AFL,Aflac,Language Complexity,CQ32015,11.58,3,2015,2015-09-30
+ALL,Allstate,Language Complexity,CQ32015,12.54,3,2015,2015-09-30
+AXP,American Express,Language Complexity,CQ32015,14.07,3,2015,2015-09-30
+AIG,American International Group,Language Complexity,CQ32015,13.76,3,2015,2015-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32015,12.67,3,2015,2015-09-30
+AON,Aon plc,Language Complexity,CQ32015,13.35,3,2015,2015-09-30
+BK,BNY Mellon,Language Complexity,CQ32015,12.64,3,2015,2015-09-30
+BAC,Bank of America,Language Complexity,CQ32015,12.07,3,2015,2015-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32015,,3,2015,2015-09-30
+BLK,BlackRock,Language Complexity,CQ32015,14.13,3,2015,2015-09-30
+CME,CME Group,Language Complexity,CQ32015,11.47,3,2015,2015-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32015,,3,2015,2015-09-30
+CB,Chubb Limited,Language Complexity,CQ32015,11.39,3,2015,2015-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32015,13.22,3,2015,2015-09-30
+C,Citigroup,Language Complexity,CQ32015,11.94,3,2015,2015-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32015,11.47,3,2015,2015-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32015,12.5,3,2015,2015-09-30
+FISV,Fiserv,Language Complexity,CQ32015,12.55,3,2015,2015-09-30
+GS,Goldman Sachs,Language Complexity,CQ32015,11.84,3,2015,2015-09-30
+HIG,Hartford Financial,Language Complexity,CQ32015,13.08,3,2015,2015-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32015,13.22,3,2015,2015-09-30
+IVZ,Invesco,Language Complexity,CQ32015,11.19,3,2015,2015-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32015,11.36,3,2015,2015-09-30
+KEY,KeyCorp,Language Complexity,CQ32015,12.01,3,2015,2015-09-30
+MA,Mastercard,Language Complexity,CQ32015,12.73,3,2015,2015-09-30
+MET,MetLife,Language Complexity,CQ32015,12.38,3,2015,2015-09-30
+MS,Morgan Stanley,Language Complexity,CQ32015,11.62,3,2015,2015-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32015,14.02,3,2015,2015-09-30
+NTRS,Northern Trust,Language Complexity,CQ32015,12.18,3,2015,2015-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32015,11.58,3,2015,2015-09-30
+PRU,Prudential Financial,Language Complexity,CQ32015,14.35,3,2015,2015-09-30
+RF,Regions Financial,Language Complexity,CQ32015,11.99,3,2015,2015-09-30
+SPGI,S&P Global,Language Complexity,CQ32015,14.23,3,2015,2015-09-30
+STT,State Street,Language Complexity,CQ32015,12.92,3,2015,2015-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32015,,3,2015,2015-09-30
+TRV,Travelers Companies,Language Complexity,CQ32015,12.77,3,2015,2015-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32015,11.08,3,2015,2015-09-30
+V,Visa,Language Complexity,CQ32015,12.01,3,2015,2015-09-30
+WFC,Wells Fargo,Language Complexity,CQ32015,12.48,3,2015,2015-09-30
+ABBV,AbbVie,Language Complexity,CQ32015,13.34,3,2015,2015-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32015,12.02,3,2015,2015-09-30
+A,Agilent Technologies,Language Complexity,CQ32015,11.13,3,2015,2015-09-30
+AMGN,Amgen,Language Complexity,CQ32015,12.7,3,2015,2015-09-30
+BAX,Baxter International,Language Complexity,CQ32015,14.12,3,2015,2015-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32015,11.43,3,2015,2015-09-30
+BIIB,Biogen,Language Complexity,CQ32015,12.14,3,2015,2015-09-30
+BSX,Boston Scientific,Language Complexity,CQ32015,12.65,3,2015,2015-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32015,12.87,3,2015,2015-09-30
+CVS,CVS Health,Language Complexity,CQ32015,12.95,3,2015,2015-09-30
+COR,Cencora,Language Complexity,CQ32015,,3,2015,2015-09-30
+CI,Cigna,Language Complexity,CQ32015,,3,2015,2015-09-30
+DVA,DaVita,Language Complexity,CQ32015,11.22,3,2015,2015-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32015,11.74,3,2015,2015-09-30
+LLY,Eli Lilly,Language Complexity,CQ32015,11.97,3,2015,2015-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32015,11.75,3,2015,2015-09-30
+HUM,Humana,Language Complexity,CQ32015,,3,2015,2015-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32015,12.36,3,2015,2015-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32015,13.92,3,2015,2015-09-30
+LH,Labcorp,Language Complexity,CQ32015,12.7,3,2015,2015-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32015,14.41,3,2015,2015-09-30
+MDT,Medtronic,Language Complexity,CQ32015,14.87,3,2015,2015-09-30
+MRK,Merck & Co.,Language Complexity,CQ32015,12.7,3,2015,2015-09-30
+PFE,Pfizer,Language Complexity,CQ32015,13.1,3,2015,2015-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32015,13.81,3,2015,2015-09-30
+WAT,Waters Corporation,Language Complexity,CQ32015,12.38,3,2015,2015-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32015,14.28,3,2015,2015-09-30
+MMM,3M,Language Complexity,CQ32015,10.84,3,2015,2015-09-30
+AME,Ametek,Language Complexity,CQ32015,11.6,3,2015,2015-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32015,12.64,3,2015,2015-09-30
+BA,Boeing,Language Complexity,CQ32015,12.04,3,2015,2015-09-30
+CSX,CSX Corporation,Language Complexity,CQ32015,12.04,3,2015,2015-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32015,10.51,3,2015,2015-09-30
+CTAS,Cintas,Language Complexity,CQ32015,10.63,3,2015,2015-09-30
+CMI,Cummins,Language Complexity,CQ32015,11.66,3,2015,2015-09-30
+DE,Deere & Company,Language Complexity,CQ32015,11.59,3,2015,2015-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32015,11.71,3,2015,2015-09-30
+EMR,Emerson Electric,Language Complexity,CQ32015,10.34,3,2015,2015-09-30
+EFX,Equifax,Language Complexity,CQ32015,12.65,3,2015,2015-09-30
+EXPD,Expeditors International,Language Complexity,CQ32015,,3,2015,2015-09-30
+FDX,FedEx,Language Complexity,CQ32015,11.76,3,2015,2015-09-30
+GE,GE Aerospace,Language Complexity,CQ32015,10.32,3,2015,2015-09-30
+GD,General Dynamics,Language Complexity,CQ32015,11.05,3,2015,2015-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32015,12.16,3,2015,2015-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32015,12.83,3,2015,2015-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32015,11.42,3,2015,2015-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32015,12.5,3,2015,2015-09-30
+PCAR,Paccar,Language Complexity,CQ32015,11.26,3,2015,2015-09-30
+RTX,RTX Corporation,Language Complexity,CQ32015,10.92,3,2015,2015-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32015,11.26,3,2015,2015-09-30
+ROP,Roper Technologies,Language Complexity,CQ32015,10.28,3,2015,2015-09-30
+SNA,Snap-on,Language Complexity,CQ32015,12.15,3,2015,2015-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32015,13.05,3,2015,2015-09-30
+UPS,United Parcel Service,Language Complexity,CQ32015,11.21,3,2015,2015-09-30
+WM,Waste Management,Language Complexity,CQ32015,10.53,3,2015,2015-09-30
+ACN,Accenture,Language Complexity,CQ32015,12.67,3,2015,2015-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32015,13.71,3,2015,2015-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32015,12.18,3,2015,2015-09-30
+APH,Amphenol,Language Complexity,CQ32015,14.41,3,2015,2015-09-30
+ADI,Analog Devices,Language Complexity,CQ32015,12.55,3,2015,2015-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32015,11.22,3,2015,2015-09-30
+AMAT,Applied Materials,Language Complexity,CQ32015,10.84,3,2015,2015-09-30
+ADSK,Autodesk,Language Complexity,CQ32015,11.78,3,2015,2015-09-30
+AVGO,Broadcom,Language Complexity,CQ32015,11.56,3,2015,2015-09-30
+CSCO,Cisco,Language Complexity,CQ32015,12.33,3,2015,2015-09-30
+CTSH,Cognizant,Language Complexity,CQ32015,13.84,3,2015,2015-09-30
+HPQ,HP Inc.,Language Complexity,CQ32015,13.05,3,2015,2015-09-30
+IBM,IBM,Language Complexity,CQ32015,12.66,3,2015,2015-09-30
+INTC,Intel,Language Complexity,CQ32015,10.65,3,2015,2015-09-30
+INTU,Intuit,Language Complexity,CQ32015,11.66,3,2015,2015-09-30
+LRCX,Lam Research,Language Complexity,CQ32015,12.62,3,2015,2015-09-30
+MU,Micron Technology,Language Complexity,CQ32015,,3,2015,2015-09-30
+MSFT,Microsoft,Language Complexity,CQ32015,12.74,3,2015,2015-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32015,12.55,3,2015,2015-09-30
+NTAP,NetApp,Language Complexity,CQ32015,13.65,3,2015,2015-09-30
+NVDA,Nvidia,Language Complexity,CQ32015,11.95,3,2015,2015-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32015,10.81,3,2015,2015-09-30
+TXN,Texas Instruments,Language Complexity,CQ32015,11.28,3,2015,2015-09-30
+APD,Air Products,Language Complexity,CQ32015,11.69,3,2015,2015-09-30
+AVY,Avery Dennison,Language Complexity,CQ32015,11.37,3,2015,2015-09-30
+ECL,Ecolab,Language Complexity,CQ32015,10.85,3,2015,2015-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32015,13.62,3,2015,2015-09-30
+IP,International Paper,Language Complexity,CQ32015,10.64,3,2015,2015-09-30
+LIN,Linde plc,Language Complexity,CQ32015,11.79,3,2015,2015-09-30
+NEM,Newmont,Language Complexity,CQ32015,12.25,3,2015,2015-09-30
+NUE,Nucor,Language Complexity,CQ32015,10.96,3,2015,2015-09-30
+AMT,American Tower,Language Complexity,CQ32015,13.9,3,2015,2015-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32015,12.4,3,2015,2015-09-30
+EQR,Equity Residential,Language Complexity,CQ32015,11.76,3,2015,2015-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32015,11.26,3,2015,2015-09-30
+IRM,Iron Mountain,Language Complexity,CQ32015,12.43,3,2015,2015-09-30
+PLD,Prologis,Language Complexity,CQ32015,11.53,3,2015,2015-09-30
+VTR,Ventas,Language Complexity,CQ32015,12.02,3,2015,2015-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32015,11.21,3,2015,2015-09-30
+AES,AES Corporation,Language Complexity,CQ32015,11.7,3,2015,2015-09-30
+AEE,Ameren,Language Complexity,CQ32015,15.88,3,2015,2015-09-30
+AEP,American Electric Power,Language Complexity,CQ32015,13.1,3,2015,2015-09-30
+CMS,CMS Energy,Language Complexity,CQ32015,11.2,3,2015,2015-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32015,13.64,3,2015,2015-09-30
+DUK,Duke Energy,Language Complexity,CQ32015,12.24,3,2015,2015-09-30
+EIX,Edison International,Language Complexity,CQ32015,12.98,3,2015,2015-09-30
+ETR,Entergy,Language Complexity,CQ32015,13.16,3,2015,2015-09-30
+EXC,Exelon,Language Complexity,CQ32015,12.58,3,2015,2015-09-30
+NEE,NextEra Energy,Language Complexity,CQ32015,15.32,3,2015,2015-09-30
+SO,Southern Company,Language Complexity,CQ32015,11.19,3,2015,2015-09-30
+XEL,Xcel Energy,Language Complexity,CQ32015,12.38,3,2015,2015-09-30
+T,AT&T,Net Positivity,CQ42015,1.81,4,2015,2015-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42015,1.56,4,2015,2015-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42015,,4,2015,2015-12-31
+META,Meta Platforms,Net Positivity,CQ42015,1.54,4,2015,2015-12-31
+NFLX,Netflix,Net Positivity,CQ42015,1.16,4,2015,2015-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42015,0.51,4,2015,2015-12-31
+OMC,Omnicom Group,Net Positivity,CQ42015,0.56,4,2015,2015-12-31
+VZ,Verizon,Net Positivity,CQ42015,0.8,4,2015,2015-12-31
+AMZN,Amazon,Net Positivity,CQ42015,1.02,4,2015,2015-12-31
+AZO,AutoZone,Net Positivity,CQ42015,1.33,4,2015,2015-12-31
+BBY,Best Buy,Net Positivity,CQ42015,1.02,4,2015,2015-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42015,1.46,4,2015,2015-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42015,1.59,4,2015,2015-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42015,1.43,4,2015,2015-12-31
+F,Ford Motor Company,Net Positivity,CQ42015,1.67,4,2015,2015-12-31
+GM,General Motors,Net Positivity,CQ42015,1.6,4,2015,2015-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42015,1.08,4,2015,2015-12-31
+HAS,Hasbro,Net Positivity,CQ42015,0.78,4,2015,2015-12-31
+LOW,Lowe's,Net Positivity,CQ42015,2.31,4,2015,2015-12-31
+MCD,McDonald's,Net Positivity,CQ42015,1.63,4,2015,2015-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42015,2.75,4,2015,2015-12-31
+ROST,Ross Stores,Net Positivity,CQ42015,1.15,4,2015,2015-12-31
+TJX,TJX Companies,Net Positivity,CQ42015,2.04,4,2015,2015-12-31
+TGT,Target,Net Positivity,CQ42015,1.87,4,2015,2015-12-31
+MO,Altria,Net Positivity,CQ42015,1.26,4,2015,2015-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42015,0.76,4,2015,2015-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42015,0.68,4,2015,2015-12-31
+CLX,Clorox,Net Positivity,CQ42015,2.28,4,2015,2015-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42015,1.23,4,2015,2015-12-31
+COST,Costco,Net Positivity,CQ42015,0.84,4,2015,2015-12-31
+GIS,General Mills,Net Positivity,CQ42015,1.1,4,2015,2015-12-31
+HSY,Hershey Company,Net Positivity,CQ42015,0.62,4,2015,2015-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42015,1.38,4,2015,2015-12-31
+KR,Kroger,Net Positivity,CQ42015,1.34,4,2015,2015-12-31
+MKC,McCormick & Company,Net Positivity,CQ42015,1.31,4,2015,2015-12-31
+PEP,PepsiCo,Net Positivity,CQ42015,1.3,4,2015,2015-12-31
+PG,Procter & Gamble,Net Positivity,CQ42015,0.88,4,2015,2015-12-31
+SYY,Sysco,Net Positivity,CQ42015,0.96,4,2015,2015-12-31
+WMT,Walmart,Net Positivity,CQ42015,2.17,4,2015,2015-12-31
+APA,APA Corporation,Net Positivity,CQ42015,0.94,4,2015,2015-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42015,,4,2015,2015-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42015,0.2,4,2015,2015-12-31
+EOG,EOG Resources,Net Positivity,CQ42015,1.45,4,2015,2015-12-31
+XOM,ExxonMobil,Net Positivity,CQ42015,1.38,4,2015,2015-12-31
+HAL,Halliburton,Net Positivity,CQ42015,0.06,4,2015,2015-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42015,0.54,4,2015,2015-12-31
+SLB,Schlumberger,Net Positivity,CQ42015,-0.28,4,2015,2015-12-31
+VLO,Valero Energy,Net Positivity,CQ42015,0.26,4,2015,2015-12-31
+AFL,Aflac,Net Positivity,CQ42015,1.12,4,2015,2015-12-31
+ALL,Allstate,Net Positivity,CQ42015,-0.31,4,2015,2015-12-31
+AXP,American Express,Net Positivity,CQ42015,0.86,4,2015,2015-12-31
+AIG,American International Group,Net Positivity,CQ42015,-0.01,4,2015,2015-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42015,1.13,4,2015,2015-12-31
+AON,Aon plc,Net Positivity,CQ42015,1.68,4,2015,2015-12-31
+BK,BNY Mellon,Net Positivity,CQ42015,1.07,4,2015,2015-12-31
+BAC,Bank of America,Net Positivity,CQ42015,0.58,4,2015,2015-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42015,,4,2015,2015-12-31
+BLK,BlackRock,Net Positivity,CQ42015,1.33,4,2015,2015-12-31
+CME,CME Group,Net Positivity,CQ42015,0.93,4,2015,2015-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42015,,4,2015,2015-12-31
+CB,Chubb Limited,Net Positivity,CQ42015,0.45,4,2015,2015-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42015,0.26,4,2015,2015-12-31
+C,Citigroup,Net Positivity,CQ42015,0.8,4,2015,2015-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42015,0.53,4,2015,2015-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42015,0.72,4,2015,2015-12-31
+FISV,Fiserv,Net Positivity,CQ42015,1.52,4,2015,2015-12-31
+GS,Goldman Sachs,Net Positivity,CQ42015,-0.07,4,2015,2015-12-31
+HIG,Hartford Financial,Net Positivity,CQ42015,-0.18,4,2015,2015-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42015,1.05,4,2015,2015-12-31
+IVZ,Invesco,Net Positivity,CQ42015,0.78,4,2015,2015-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42015,0.71,4,2015,2015-12-31
+KEY,KeyCorp,Net Positivity,CQ42015,0.97,4,2015,2015-12-31
+MA,Mastercard,Net Positivity,CQ42015,0.22,4,2015,2015-12-31
+MET,MetLife,Net Positivity,CQ42015,-0.36,4,2015,2015-12-31
+MS,Morgan Stanley,Net Positivity,CQ42015,-0.26,4,2015,2015-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42015,1.85,4,2015,2015-12-31
+NTRS,Northern Trust,Net Positivity,CQ42015,0.39,4,2015,2015-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42015,0.05,4,2015,2015-12-31
+PRU,Prudential Financial,Net Positivity,CQ42015,0.69,4,2015,2015-12-31
+RF,Regions Financial,Net Positivity,CQ42015,0.29,4,2015,2015-12-31
+SPGI,S&P Global,Net Positivity,CQ42015,0.74,4,2015,2015-12-31
+STT,State Street,Net Positivity,CQ42015,0.15,4,2015,2015-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42015,,4,2015,2015-12-31
+TRV,Travelers Companies,Net Positivity,CQ42015,0.95,4,2015,2015-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42015,0.87,4,2015,2015-12-31
+V,Visa,Net Positivity,CQ42015,0.71,4,2015,2015-12-31
+WFC,Wells Fargo,Net Positivity,CQ42015,0.84,4,2015,2015-12-31
+ABBV,AbbVie,Net Positivity,CQ42015,0.86,4,2015,2015-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42015,1.49,4,2015,2015-12-31
+A,Agilent Technologies,Net Positivity,CQ42015,0.73,4,2015,2015-12-31
+AMGN,Amgen,Net Positivity,CQ42015,0.86,4,2015,2015-12-31
+BAX,Baxter International,Net Positivity,CQ42015,1.18,4,2015,2015-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42015,1.66,4,2015,2015-12-31
+BIIB,Biogen,Net Positivity,CQ42015,0.73,4,2015,2015-12-31
+BSX,Boston Scientific,Net Positivity,CQ42015,1.05,4,2015,2015-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42015,1.88,4,2015,2015-12-31
+CVS,CVS Health,Net Positivity,CQ42015,1.14,4,2015,2015-12-31
+COR,Cencora,Net Positivity,CQ42015,,4,2015,2015-12-31
+CI,Cigna,Net Positivity,CQ42015,,4,2015,2015-12-31
+DVA,DaVita,Net Positivity,CQ42015,0.63,4,2015,2015-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42015,1.02,4,2015,2015-12-31
+LLY,Eli Lilly,Net Positivity,CQ42015,0.39,4,2015,2015-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42015,0.8,4,2015,2015-12-31
+HUM,Humana,Net Positivity,CQ42015,,4,2015,2015-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42015,0.74,4,2015,2015-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42015,1.3,4,2015,2015-12-31
+LH,Labcorp,Net Positivity,CQ42015,1.38,4,2015,2015-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42015,1.12,4,2015,2015-12-31
+MDT,Medtronic,Net Positivity,CQ42015,1.31,4,2015,2015-12-31
+MRK,Merck & Co.,Net Positivity,CQ42015,0.96,4,2015,2015-12-31
+PFE,Pfizer,Net Positivity,CQ42015,1.11,4,2015,2015-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42015,1.91,4,2015,2015-12-31
+WAT,Waters Corporation,Net Positivity,CQ42015,1.83,4,2015,2015-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42015,1.17,4,2015,2015-12-31
+MMM,3M,Net Positivity,CQ42015,0.55,4,2015,2015-12-31
+AME,Ametek,Net Positivity,CQ42015,0.68,4,2015,2015-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42015,1.0,4,2015,2015-12-31
+BA,Boeing,Net Positivity,CQ42015,1.27,4,2015,2015-12-31
+CSX,CSX Corporation,Net Positivity,CQ42015,1.19,4,2015,2015-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42015,-0.25,4,2015,2015-12-31
+CTAS,Cintas,Net Positivity,CQ42015,0.8,4,2015,2015-12-31
+CMI,Cummins,Net Positivity,CQ42015,-0.29,4,2015,2015-12-31
+DE,Deere & Company,Net Positivity,CQ42015,0.13,4,2015,2015-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42015,-0.82,4,2015,2015-12-31
+EMR,Emerson Electric,Net Positivity,CQ42015,-0.23,4,2015,2015-12-31
+EFX,Equifax,Net Positivity,CQ42015,1.31,4,2015,2015-12-31
+EXPD,Expeditors International,Net Positivity,CQ42015,,4,2015,2015-12-31
+FDX,FedEx,Net Positivity,CQ42015,0.96,4,2015,2015-12-31
+GE,GE Aerospace,Net Positivity,CQ42015,0.8,4,2015,2015-12-31
+GD,General Dynamics,Net Positivity,CQ42015,1.05,4,2015,2015-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42015,0.65,4,2015,2015-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42015,0.66,4,2015,2015-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42015,0.77,4,2015,2015-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42015,1.16,4,2015,2015-12-31
+PCAR,Paccar,Net Positivity,CQ42015,1.75,4,2015,2015-12-31
+RTX,RTX Corporation,Net Positivity,CQ42015,0.44,4,2015,2015-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42015,-0.14,4,2015,2015-12-31
+ROP,Roper Technologies,Net Positivity,CQ42015,1.17,4,2015,2015-12-31
+SNA,Snap-on,Net Positivity,CQ42015,1.37,4,2015,2015-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42015,1.61,4,2015,2015-12-31
+UPS,United Parcel Service,Net Positivity,CQ42015,1.44,4,2015,2015-12-31
+WM,Waste Management,Net Positivity,CQ42015,0.98,4,2015,2015-12-31
+ACN,Accenture,Net Positivity,CQ42015,1.28,4,2015,2015-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42015,2.44,4,2015,2015-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42015,0.25,4,2015,2015-12-31
+APH,Amphenol,Net Positivity,CQ42015,0.63,4,2015,2015-12-31
+ADI,Analog Devices,Net Positivity,CQ42015,1.12,4,2015,2015-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42015,1.33,4,2015,2015-12-31
+AMAT,Applied Materials,Net Positivity,CQ42015,2.81,4,2015,2015-12-31
+ADSK,Autodesk,Net Positivity,CQ42015,0.74,4,2015,2015-12-31
+AVGO,Broadcom,Net Positivity,CQ42015,0.77,4,2015,2015-12-31
+CSCO,Cisco,Net Positivity,CQ42015,1.21,4,2015,2015-12-31
+CTSH,Cognizant,Net Positivity,CQ42015,1.81,4,2015,2015-12-31
+HPQ,HP Inc.,Net Positivity,CQ42015,1.12,4,2015,2015-12-31
+IBM,IBM,Net Positivity,CQ42015,0.39,4,2015,2015-12-31
+INTC,Intel,Net Positivity,CQ42015,0.9,4,2015,2015-12-31
+INTU,Intuit,Net Positivity,CQ42015,0.96,4,2015,2015-12-31
+LRCX,Lam Research,Net Positivity,CQ42015,2.24,4,2015,2015-12-31
+MU,Micron Technology,Net Positivity,CQ42015,0.9,4,2015,2015-12-31
+MSFT,Microsoft,Net Positivity,CQ42015,1.08,4,2015,2015-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42015,1.04,4,2015,2015-12-31
+NTAP,NetApp,Net Positivity,CQ42015,1.37,4,2015,2015-12-31
+NVDA,Nvidia,Net Positivity,CQ42015,1.22,4,2015,2015-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42015,1.18,4,2015,2015-12-31
+TXN,Texas Instruments,Net Positivity,CQ42015,0.36,4,2015,2015-12-31
+APD,Air Products,Net Positivity,CQ42015,1.96,4,2015,2015-12-31
+AVY,Avery Dennison,Net Positivity,CQ42015,0.89,4,2015,2015-12-31
+ECL,Ecolab,Net Positivity,CQ42015,0.62,4,2015,2015-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42015,2.63,4,2015,2015-12-31
+IP,International Paper,Net Positivity,CQ42015,0.82,4,2015,2015-12-31
+LIN,Linde plc,Net Positivity,CQ42015,0.41,4,2015,2015-12-31
+NEM,Newmont,Net Positivity,CQ42015,1.23,4,2015,2015-12-31
+NUE,Nucor,Net Positivity,CQ42015,1.22,4,2015,2015-12-31
+AMT,American Tower,Net Positivity,CQ42015,1.15,4,2015,2015-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42015,0.51,4,2015,2015-12-31
+EQR,Equity Residential,Net Positivity,CQ42015,1.03,4,2015,2015-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42015,0.93,4,2015,2015-12-31
+IRM,Iron Mountain,Net Positivity,CQ42015,0.16,4,2015,2015-12-31
+PLD,Prologis,Net Positivity,CQ42015,0.7,4,2015,2015-12-31
+VTR,Ventas,Net Positivity,CQ42015,1.4,4,2015,2015-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42015,1.64,4,2015,2015-12-31
+AES,AES Corporation,Net Positivity,CQ42015,0.84,4,2015,2015-12-31
+AEE,Ameren,Net Positivity,CQ42015,0.79,4,2015,2015-12-31
+AEP,American Electric Power,Net Positivity,CQ42015,0.47,4,2015,2015-12-31
+CMS,CMS Energy,Net Positivity,CQ42015,1.11,4,2015,2015-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42015,1.43,4,2015,2015-12-31
+DUK,Duke Energy,Net Positivity,CQ42015,0.85,4,2015,2015-12-31
+EIX,Edison International,Net Positivity,CQ42015,-0.6,4,2015,2015-12-31
+ETR,Entergy,Net Positivity,CQ42015,-0.1,4,2015,2015-12-31
+EXC,Exelon,Net Positivity,CQ42015,0.36,4,2015,2015-12-31
+NEE,NextEra Energy,Net Positivity,CQ42015,1.33,4,2015,2015-12-31
+SO,Southern Company,Net Positivity,CQ42015,0.24,4,2015,2015-12-31
+XEL,Xcel Energy,Net Positivity,CQ42015,0.77,4,2015,2015-12-31
+T,AT&T,Numeric Transeprency,CQ42015,1.56,4,2015,2015-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42015,1.85,4,2015,2015-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42015,,4,2015,2015-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42015,1.62,4,2015,2015-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42015,1.25,4,2015,2015-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42015,2.3,4,2015,2015-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42015,2.83,4,2015,2015-12-31
+VZ,Verizon,Numeric Transeprency,CQ42015,3.02,4,2015,2015-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42015,2.86,4,2015,2015-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42015,2.5,4,2015,2015-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42015,2.26,4,2015,2015-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42015,1.6,4,2015,2015-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42015,2.19,4,2015,2015-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42015,2.37,4,2015,2015-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42015,2.45,4,2015,2015-12-31
+GM,General Motors,Numeric Transeprency,CQ42015,2.61,4,2015,2015-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42015,3.48,4,2015,2015-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42015,2.09,4,2015,2015-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42015,2.31,4,2015,2015-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42015,1.35,4,2015,2015-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42015,1.39,4,2015,2015-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42015,1.97,4,2015,2015-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42015,1.62,4,2015,2015-12-31
+TGT,Target,Numeric Transeprency,CQ42015,1.98,4,2015,2015-12-31
+MO,Altria,Numeric Transeprency,CQ42015,2.15,4,2015,2015-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42015,2.44,4,2015,2015-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42015,1.61,4,2015,2015-12-31
+CLX,Clorox,Numeric Transeprency,CQ42015,1.54,4,2015,2015-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42015,1.27,4,2015,2015-12-31
+COST,Costco,Numeric Transeprency,CQ42015,3.31,4,2015,2015-12-31
+GIS,General Mills,Numeric Transeprency,CQ42015,2.46,4,2015,2015-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42015,2.5,4,2015,2015-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42015,1.53,4,2015,2015-12-31
+KR,Kroger,Numeric Transeprency,CQ42015,1.68,4,2015,2015-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42015,2.48,4,2015,2015-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42015,2.27,4,2015,2015-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42015,2.04,4,2015,2015-12-31
+SYY,Sysco,Numeric Transeprency,CQ42015,1.81,4,2015,2015-12-31
+WMT,Walmart,Numeric Transeprency,CQ42015,2.19,4,2015,2015-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42015,3.03,4,2015,2015-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42015,,4,2015,2015-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42015,3.45,4,2015,2015-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42015,2.02,4,2015,2015-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42015,2.33,4,2015,2015-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42015,1.52,4,2015,2015-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42015,3.41,4,2015,2015-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42015,1.95,4,2015,2015-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42015,1.63,4,2015,2015-12-31
+AFL,Aflac,Numeric Transeprency,CQ42015,1.44,4,2015,2015-12-31
+ALL,Allstate,Numeric Transeprency,CQ42015,2.63,4,2015,2015-12-31
+AXP,American Express,Numeric Transeprency,CQ42015,1.8,4,2015,2015-12-31
+AIG,American International Group,Numeric Transeprency,CQ42015,1.97,4,2015,2015-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42015,1.25,4,2015,2015-12-31
+AON,Aon plc,Numeric Transeprency,CQ42015,3.1,4,2015,2015-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42015,1.84,4,2015,2015-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42015,2.88,4,2015,2015-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42015,,4,2015,2015-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42015,1.41,4,2015,2015-12-31
+CME,CME Group,Numeric Transeprency,CQ42015,2.93,4,2015,2015-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42015,,4,2015,2015-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42015,2.0,4,2015,2015-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42015,2.54,4,2015,2015-12-31
+C,Citigroup,Numeric Transeprency,CQ42015,2.29,4,2015,2015-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42015,2.2,4,2015,2015-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42015,2.37,4,2015,2015-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42015,2.81,4,2015,2015-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42015,1.8,4,2015,2015-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42015,2.6,4,2015,2015-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42015,1.52,4,2015,2015-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42015,1.58,4,2015,2015-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42015,3.41,4,2015,2015-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42015,2.02,4,2015,2015-12-31
+MA,Mastercard,Numeric Transeprency,CQ42015,1.34,4,2015,2015-12-31
+MET,MetLife,Numeric Transeprency,CQ42015,3.73,4,2015,2015-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42015,2.1,4,2015,2015-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42015,2.2,4,2015,2015-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42015,2.64,4,2015,2015-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42015,2.43,4,2015,2015-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42015,3.04,4,2015,2015-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42015,2.38,4,2015,2015-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42015,2.24,4,2015,2015-12-31
+STT,State Street,Numeric Transeprency,CQ42015,2.49,4,2015,2015-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42015,,4,2015,2015-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42015,1.97,4,2015,2015-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42015,2.11,4,2015,2015-12-31
+V,Visa,Numeric Transeprency,CQ42015,2.16,4,2015,2015-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42015,2.15,4,2015,2015-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42015,2.46,4,2015,2015-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42015,1.03,4,2015,2015-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42015,2.53,4,2015,2015-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42015,3.12,4,2015,2015-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42015,2.56,4,2015,2015-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42015,3.43,4,2015,2015-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42015,1.93,4,2015,2015-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42015,4.56,4,2015,2015-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42015,1.17,4,2015,2015-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42015,2.59,4,2015,2015-12-31
+COR,Cencora,Numeric Transeprency,CQ42015,,4,2015,2015-12-31
+CI,Cigna,Numeric Transeprency,CQ42015,,4,2015,2015-12-31
+DVA,DaVita,Numeric Transeprency,CQ42015,2.06,4,2015,2015-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42015,2.1,4,2015,2015-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42015,1.87,4,2015,2015-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42015,2.74,4,2015,2015-12-31
+HUM,Humana,Numeric Transeprency,CQ42015,,4,2015,2015-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42015,3.07,4,2015,2015-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42015,2.28,4,2015,2015-12-31
+LH,Labcorp,Numeric Transeprency,CQ42015,2.95,4,2015,2015-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42015,2.04,4,2015,2015-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42015,2.58,4,2015,2015-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42015,1.56,4,2015,2015-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42015,2.75,4,2015,2015-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42015,2.52,4,2015,2015-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42015,1.5,4,2015,2015-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42015,2.86,4,2015,2015-12-31
+MMM,3M,Numeric Transeprency,CQ42015,3.41,4,2015,2015-12-31
+AME,Ametek,Numeric Transeprency,CQ42015,2.61,4,2015,2015-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42015,1.62,4,2015,2015-12-31
+BA,Boeing,Numeric Transeprency,CQ42015,3.26,4,2015,2015-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42015,1.64,4,2015,2015-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42015,2.67,4,2015,2015-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42015,2.44,4,2015,2015-12-31
+CMI,Cummins,Numeric Transeprency,CQ42015,3.16,4,2015,2015-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42015,3.39,4,2015,2015-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42015,2.98,4,2015,2015-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42015,2.75,4,2015,2015-12-31
+EFX,Equifax,Numeric Transeprency,CQ42015,3.56,4,2015,2015-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42015,,4,2015,2015-12-31
+FDX,FedEx,Numeric Transeprency,CQ42015,1.61,4,2015,2015-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42015,5.56,4,2015,2015-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42015,3.75,4,2015,2015-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42015,3.01,4,2015,2015-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42015,2.36,4,2015,2015-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42015,1.76,4,2015,2015-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42015,1.46,4,2015,2015-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42015,2.68,4,2015,2015-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42015,2.98,4,2015,2015-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42015,2.63,4,2015,2015-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42015,2.4,4,2015,2015-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42015,3.76,4,2015,2015-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42015,2.58,4,2015,2015-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42015,1.63,4,2015,2015-12-31
+WM,Waste Management,Numeric Transeprency,CQ42015,3.37,4,2015,2015-12-31
+ACN,Accenture,Numeric Transeprency,CQ42015,2.52,4,2015,2015-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42015,2.85,4,2015,2015-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42015,2.13,4,2015,2015-12-31
+APH,Amphenol,Numeric Transeprency,CQ42015,2.07,4,2015,2015-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42015,2.01,4,2015,2015-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42015,3.2,4,2015,2015-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42015,3.4,4,2015,2015-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42015,1.5,4,2015,2015-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42015,2.92,4,2015,2015-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42015,2.18,4,2015,2015-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42015,1.83,4,2015,2015-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42015,3.11,4,2015,2015-12-31
+IBM,IBM,Numeric Transeprency,CQ42015,1.57,4,2015,2015-12-31
+INTC,Intel,Numeric Transeprency,CQ42015,1.41,4,2015,2015-12-31
+INTU,Intuit,Numeric Transeprency,CQ42015,1.1,4,2015,2015-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42015,2.32,4,2015,2015-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42015,1.78,4,2015,2015-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42015,2.58,4,2015,2015-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42015,3.14,4,2015,2015-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42015,1.87,4,2015,2015-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42015,1.3,4,2015,2015-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42015,3.39,4,2015,2015-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42015,2.29,4,2015,2015-12-31
+APD,Air Products,Numeric Transeprency,CQ42015,3.08,4,2015,2015-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42015,1.65,4,2015,2015-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42015,1.89,4,2015,2015-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42015,2.22,4,2015,2015-12-31
+IP,International Paper,Numeric Transeprency,CQ42015,1.69,4,2015,2015-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42015,1.51,4,2015,2015-12-31
+NEM,Newmont,Numeric Transeprency,CQ42015,3.36,4,2015,2015-12-31
+NUE,Nucor,Numeric Transeprency,CQ42015,1.61,4,2015,2015-12-31
+AMT,American Tower,Numeric Transeprency,CQ42015,3.09,4,2015,2015-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42015,2.22,4,2015,2015-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42015,2.37,4,2015,2015-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42015,2.13,4,2015,2015-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42015,3.84,4,2015,2015-12-31
+PLD,Prologis,Numeric Transeprency,CQ42015,2.59,4,2015,2015-12-31
+VTR,Ventas,Numeric Transeprency,CQ42015,2.28,4,2015,2015-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42015,1.85,4,2015,2015-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42015,3.18,4,2015,2015-12-31
+AEE,Ameren,Numeric Transeprency,CQ42015,2.95,4,2015,2015-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42015,2.46,4,2015,2015-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42015,2.55,4,2015,2015-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42015,5.14,4,2015,2015-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42015,3.29,4,2015,2015-12-31
+EIX,Edison International,Numeric Transeprency,CQ42015,3.15,4,2015,2015-12-31
+ETR,Entergy,Numeric Transeprency,CQ42015,2.59,4,2015,2015-12-31
+EXC,Exelon,Numeric Transeprency,CQ42015,3.06,4,2015,2015-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42015,2.86,4,2015,2015-12-31
+SO,Southern Company,Numeric Transeprency,CQ42015,3.4,4,2015,2015-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42015,2.42,4,2015,2015-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42015,40.91,4,2015,2015-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42015,28.57,4,2015,2015-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42015,,4,2015,2015-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42015,24.0,4,2015,2015-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42015,2.44,4,2015,2015-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42015,35.71,4,2015,2015-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42015,31.58,4,2015,2015-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42015,26.47,4,2015,2015-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42015,42.11,4,2015,2015-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42015,20.0,4,2015,2015-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42015,26.67,4,2015,2015-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42015,41.38,4,2015,2015-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42015,33.33,4,2015,2015-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42015,54.84,4,2015,2015-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42015,42.86,4,2015,2015-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42015,57.89,4,2015,2015-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42015,53.85,4,2015,2015-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42015,61.54,4,2015,2015-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42015,31.25,4,2015,2015-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42015,45.16,4,2015,2015-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42015,15.79,4,2015,2015-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42015,48.57,4,2015,2015-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42015,29.41,4,2015,2015-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42015,24.14,4,2015,2015-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42015,55.56,4,2015,2015-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42015,33.33,4,2015,2015-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42015,35.29,4,2015,2015-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42015,47.06,4,2015,2015-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42015,29.63,4,2015,2015-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42015,46.88,4,2015,2015-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42015,35.0,4,2015,2015-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42015,58.82,4,2015,2015-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42015,56.25,4,2015,2015-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42015,34.62,4,2015,2015-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42015,54.55,4,2015,2015-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42015,38.46,4,2015,2015-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42015,50.0,4,2015,2015-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42015,66.67,4,2015,2015-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42015,0.0,4,2015,2015-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42015,36.67,4,2015,2015-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42015,,4,2015,2015-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42015,20.59,4,2015,2015-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42015,28.57,4,2015,2015-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42015,60.0,4,2015,2015-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42015,22.22,4,2015,2015-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42015,32.0,4,2015,2015-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42015,28.95,4,2015,2015-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42015,42.86,4,2015,2015-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42015,50.0,4,2015,2015-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42015,26.92,4,2015,2015-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42015,36.67,4,2015,2015-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42015,28.57,4,2015,2015-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42015,66.67,4,2015,2015-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42015,39.13,4,2015,2015-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42015,60.0,4,2015,2015-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42015,31.03,4,2015,2015-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42015,,4,2015,2015-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42015,28.57,4,2015,2015-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42015,46.67,4,2015,2015-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42015,,4,2015,2015-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42015,37.5,4,2015,2015-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42015,66.67,4,2015,2015-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42015,53.85,4,2015,2015-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42015,35.29,4,2015,2015-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42015,40.63,4,2015,2015-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42015,31.58,4,2015,2015-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42015,52.17,4,2015,2015-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42015,55.56,4,2015,2015-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42015,53.33,4,2015,2015-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42015,60.0,4,2015,2015-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42015,50.0,4,2015,2015-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42015,35.48,4,2015,2015-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42015,32.43,4,2015,2015-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42015,55.0,4,2015,2015-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42015,28.0,4,2015,2015-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42015,69.23,4,2015,2015-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42015,73.68,4,2015,2015-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42015,37.93,4,2015,2015-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42015,40.0,4,2015,2015-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42015,37.5,4,2015,2015-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42015,72.73,4,2015,2015-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42015,55.0,4,2015,2015-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42015,,4,2015,2015-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42015,32.14,4,2015,2015-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42015,28.57,4,2015,2015-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42015,43.24,4,2015,2015-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42015,24.14,4,2015,2015-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42015,38.89,4,2015,2015-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42015,25.0,4,2015,2015-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42015,94.12,4,2015,2015-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42015,38.1,4,2015,2015-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42015,57.14,4,2015,2015-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42015,50.0,4,2015,2015-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42015,52.17,4,2015,2015-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42015,29.63,4,2015,2015-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42015,47.83,4,2015,2015-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42015,48.15,4,2015,2015-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42015,,4,2015,2015-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42015,,4,2015,2015-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42015,46.67,4,2015,2015-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42015,41.18,4,2015,2015-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42015,50.0,4,2015,2015-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42015,50.0,4,2015,2015-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42015,,4,2015,2015-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42015,42.11,4,2015,2015-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42015,61.9,4,2015,2015-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42015,61.9,4,2015,2015-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42015,66.67,4,2015,2015-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42015,24.0,4,2015,2015-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42015,38.1,4,2015,2015-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42015,60.0,4,2015,2015-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42015,50.0,4,2015,2015-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42015,60.0,4,2015,2015-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42015,28.57,4,2015,2015-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42015,47.06,4,2015,2015-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42015,50.0,4,2015,2015-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42015,22.73,4,2015,2015-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42015,55.56,4,2015,2015-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42015,64.29,4,2015,2015-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42015,18.52,4,2015,2015-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42015,58.82,4,2015,2015-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42015,32.14,4,2015,2015-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42015,56.0,4,2015,2015-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42015,32.14,4,2015,2015-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42015,46.43,4,2015,2015-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42015,61.54,4,2015,2015-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42015,,4,2015,2015-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42015,38.71,4,2015,2015-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42015,45.0,4,2015,2015-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42015,68.42,4,2015,2015-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42015,63.16,4,2015,2015-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42015,57.89,4,2015,2015-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42015,62.07,4,2015,2015-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42015,78.95,4,2015,2015-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42015,51.85,4,2015,2015-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42015,36.84,4,2015,2015-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42015,28.0,4,2015,2015-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42015,63.64,4,2015,2015-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42015,85.71,4,2015,2015-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42015,52.94,4,2015,2015-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42015,70.37,4,2015,2015-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42015,46.15,4,2015,2015-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42015,33.33,4,2015,2015-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42015,50.0,4,2015,2015-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42015,44.0,4,2015,2015-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42015,76.92,4,2015,2015-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42015,66.67,4,2015,2015-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42015,12.5,4,2015,2015-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42015,45.0,4,2015,2015-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42015,33.33,4,2015,2015-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42015,36.84,4,2015,2015-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42015,28.89,4,2015,2015-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42015,35.48,4,2015,2015-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42015,25.0,4,2015,2015-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42015,40.0,4,2015,2015-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42015,22.92,4,2015,2015-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42015,60.0,4,2015,2015-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42015,36.36,4,2015,2015-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42015,30.56,4,2015,2015-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42015,27.78,4,2015,2015-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42015,38.89,4,2015,2015-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42015,40.54,4,2015,2015-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42015,44.12,4,2015,2015-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42015,17.78,4,2015,2015-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42015,24.32,4,2015,2015-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42015,61.11,4,2015,2015-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42015,60.0,4,2015,2015-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42015,61.9,4,2015,2015-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42015,53.85,4,2015,2015-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42015,55.0,4,2015,2015-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42015,66.67,4,2015,2015-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42015,15.79,4,2015,2015-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42015,52.94,4,2015,2015-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42015,44.44,4,2015,2015-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42015,27.27,4,2015,2015-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42015,77.78,4,2015,2015-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42015,66.67,4,2015,2015-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42015,57.14,4,2015,2015-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42015,66.67,4,2015,2015-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42015,33.33,4,2015,2015-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42015,50.0,4,2015,2015-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42015,46.15,4,2015,2015-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42015,33.33,4,2015,2015-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42015,39.13,4,2015,2015-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42015,23.53,4,2015,2015-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42015,7.14,4,2015,2015-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42015,39.13,4,2015,2015-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42015,45.0,4,2015,2015-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42015,42.86,4,2015,2015-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42015,36.84,4,2015,2015-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42015,33.33,4,2015,2015-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42015,28.57,4,2015,2015-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42015,25.0,4,2015,2015-12-31
+T,AT&T,Language Complexity,CQ42015,12.05,4,2015,2015-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42015,11.83,4,2015,2015-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42015,,4,2015,2015-12-31
+META,Meta Platforms,Language Complexity,CQ42015,12.43,4,2015,2015-12-31
+NFLX,Netflix,Language Complexity,CQ42015,10.53,4,2015,2015-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42015,14.78,4,2015,2015-12-31
+OMC,Omnicom Group,Language Complexity,CQ42015,13.33,4,2015,2015-12-31
+VZ,Verizon,Language Complexity,CQ42015,12.68,4,2015,2015-12-31
+AMZN,Amazon,Language Complexity,CQ42015,11.24,4,2015,2015-12-31
+AZO,AutoZone,Language Complexity,CQ42015,11.99,4,2015,2015-12-31
+BBY,Best Buy,Language Complexity,CQ42015,13.43,4,2015,2015-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42015,11.29,4,2015,2015-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42015,13.54,4,2015,2015-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42015,12.07,4,2015,2015-12-31
+F,Ford Motor Company,Language Complexity,CQ42015,10.44,4,2015,2015-12-31
+GM,General Motors,Language Complexity,CQ42015,12.51,4,2015,2015-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42015,12.91,4,2015,2015-12-31
+HAS,Hasbro,Language Complexity,CQ42015,12.05,4,2015,2015-12-31
+LOW,Lowe's,Language Complexity,CQ42015,12.85,4,2015,2015-12-31
+MCD,McDonald's,Language Complexity,CQ42015,13.27,4,2015,2015-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42015,14.06,4,2015,2015-12-31
+ROST,Ross Stores,Language Complexity,CQ42015,10.14,4,2015,2015-12-31
+TJX,TJX Companies,Language Complexity,CQ42015,11.77,4,2015,2015-12-31
+TGT,Target,Language Complexity,CQ42015,14.15,4,2015,2015-12-31
+MO,Altria,Language Complexity,CQ42015,11.22,4,2015,2015-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42015,12.86,4,2015,2015-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42015,12.59,4,2015,2015-12-31
+CLX,Clorox,Language Complexity,CQ42015,12.84,4,2015,2015-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42015,14.15,4,2015,2015-12-31
+COST,Costco,Language Complexity,CQ42015,10.26,4,2015,2015-12-31
+GIS,General Mills,Language Complexity,CQ42015,12.32,4,2015,2015-12-31
+HSY,Hershey Company,Language Complexity,CQ42015,12.42,4,2015,2015-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42015,11.2,4,2015,2015-12-31
+KR,Kroger,Language Complexity,CQ42015,12.1,4,2015,2015-12-31
+MKC,McCormick & Company,Language Complexity,CQ42015,12.59,4,2015,2015-12-31
+PEP,PepsiCo,Language Complexity,CQ42015,13.21,4,2015,2015-12-31
+PG,Procter & Gamble,Language Complexity,CQ42015,11.68,4,2015,2015-12-31
+SYY,Sysco,Language Complexity,CQ42015,12.27,4,2015,2015-12-31
+WMT,Walmart,Language Complexity,CQ42015,15.3,4,2015,2015-12-31
+APA,APA Corporation,Language Complexity,CQ42015,12.69,4,2015,2015-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42015,,4,2015,2015-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42015,13.81,4,2015,2015-12-31
+EOG,EOG Resources,Language Complexity,CQ42015,11.9,4,2015,2015-12-31
+XOM,ExxonMobil,Language Complexity,CQ42015,12.46,4,2015,2015-12-31
+HAL,Halliburton,Language Complexity,CQ42015,13.63,4,2015,2015-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42015,12.38,4,2015,2015-12-31
+SLB,Schlumberger,Language Complexity,CQ42015,14.09,4,2015,2015-12-31
+VLO,Valero Energy,Language Complexity,CQ42015,9.94,4,2015,2015-12-31
+AFL,Aflac,Language Complexity,CQ42015,12.0,4,2015,2015-12-31
+ALL,Allstate,Language Complexity,CQ42015,11.52,4,2015,2015-12-31
+AXP,American Express,Language Complexity,CQ42015,13.89,4,2015,2015-12-31
+AIG,American International Group,Language Complexity,CQ42015,13.92,4,2015,2015-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42015,11.73,4,2015,2015-12-31
+AON,Aon plc,Language Complexity,CQ42015,13.48,4,2015,2015-12-31
+BK,BNY Mellon,Language Complexity,CQ42015,13.31,4,2015,2015-12-31
+BAC,Bank of America,Language Complexity,CQ42015,11.22,4,2015,2015-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42015,,4,2015,2015-12-31
+BLK,BlackRock,Language Complexity,CQ42015,14.12,4,2015,2015-12-31
+CME,CME Group,Language Complexity,CQ42015,11.76,4,2015,2015-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42015,,4,2015,2015-12-31
+CB,Chubb Limited,Language Complexity,CQ42015,10.8,4,2015,2015-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42015,12.33,4,2015,2015-12-31
+C,Citigroup,Language Complexity,CQ42015,11.72,4,2015,2015-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42015,12.15,4,2015,2015-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42015,12.62,4,2015,2015-12-31
+FISV,Fiserv,Language Complexity,CQ42015,12.6,4,2015,2015-12-31
+GS,Goldman Sachs,Language Complexity,CQ42015,11.69,4,2015,2015-12-31
+HIG,Hartford Financial,Language Complexity,CQ42015,11.95,4,2015,2015-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42015,13.43,4,2015,2015-12-31
+IVZ,Invesco,Language Complexity,CQ42015,11.15,4,2015,2015-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42015,11.03,4,2015,2015-12-31
+KEY,KeyCorp,Language Complexity,CQ42015,11.22,4,2015,2015-12-31
+MA,Mastercard,Language Complexity,CQ42015,11.17,4,2015,2015-12-31
+MET,MetLife,Language Complexity,CQ42015,12.38,4,2015,2015-12-31
+MS,Morgan Stanley,Language Complexity,CQ42015,11.84,4,2015,2015-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42015,14.34,4,2015,2015-12-31
+NTRS,Northern Trust,Language Complexity,CQ42015,12.24,4,2015,2015-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42015,11.55,4,2015,2015-12-31
+PRU,Prudential Financial,Language Complexity,CQ42015,13.88,4,2015,2015-12-31
+RF,Regions Financial,Language Complexity,CQ42015,11.5,4,2015,2015-12-31
+SPGI,S&P Global,Language Complexity,CQ42015,12.98,4,2015,2015-12-31
+STT,State Street,Language Complexity,CQ42015,13.4,4,2015,2015-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42015,,4,2015,2015-12-31
+TRV,Travelers Companies,Language Complexity,CQ42015,12.58,4,2015,2015-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42015,12.07,4,2015,2015-12-31
+V,Visa,Language Complexity,CQ42015,13.39,4,2015,2015-12-31
+WFC,Wells Fargo,Language Complexity,CQ42015,12.69,4,2015,2015-12-31
+ABBV,AbbVie,Language Complexity,CQ42015,13.4,4,2015,2015-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42015,12.57,4,2015,2015-12-31
+A,Agilent Technologies,Language Complexity,CQ42015,11.25,4,2015,2015-12-31
+AMGN,Amgen,Language Complexity,CQ42015,13.21,4,2015,2015-12-31
+BAX,Baxter International,Language Complexity,CQ42015,13.22,4,2015,2015-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42015,11.76,4,2015,2015-12-31
+BIIB,Biogen,Language Complexity,CQ42015,12.9,4,2015,2015-12-31
+BSX,Boston Scientific,Language Complexity,CQ42015,12.34,4,2015,2015-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42015,12.67,4,2015,2015-12-31
+CVS,CVS Health,Language Complexity,CQ42015,12.41,4,2015,2015-12-31
+COR,Cencora,Language Complexity,CQ42015,,4,2015,2015-12-31
+CI,Cigna,Language Complexity,CQ42015,,4,2015,2015-12-31
+DVA,DaVita,Language Complexity,CQ42015,10.61,4,2015,2015-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42015,11.82,4,2015,2015-12-31
+LLY,Eli Lilly,Language Complexity,CQ42015,11.57,4,2015,2015-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42015,12.36,4,2015,2015-12-31
+HUM,Humana,Language Complexity,CQ42015,,4,2015,2015-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42015,12.21,4,2015,2015-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42015,14.02,4,2015,2015-12-31
+LH,Labcorp,Language Complexity,CQ42015,12.49,4,2015,2015-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42015,14.27,4,2015,2015-12-31
+MDT,Medtronic,Language Complexity,CQ42015,14.68,4,2015,2015-12-31
+MRK,Merck & Co.,Language Complexity,CQ42015,13.15,4,2015,2015-12-31
+PFE,Pfizer,Language Complexity,CQ42015,12.97,4,2015,2015-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42015,12.51,4,2015,2015-12-31
+WAT,Waters Corporation,Language Complexity,CQ42015,12.57,4,2015,2015-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42015,13.97,4,2015,2015-12-31
+MMM,3M,Language Complexity,CQ42015,11.67,4,2015,2015-12-31
+AME,Ametek,Language Complexity,CQ42015,10.91,4,2015,2015-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42015,13.04,4,2015,2015-12-31
+BA,Boeing,Language Complexity,CQ42015,11.4,4,2015,2015-12-31
+CSX,CSX Corporation,Language Complexity,CQ42015,11.74,4,2015,2015-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42015,9.99,4,2015,2015-12-31
+CTAS,Cintas,Language Complexity,CQ42015,11.41,4,2015,2015-12-31
+CMI,Cummins,Language Complexity,CQ42015,11.26,4,2015,2015-12-31
+DE,Deere & Company,Language Complexity,CQ42015,12.22,4,2015,2015-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42015,11.5,4,2015,2015-12-31
+EMR,Emerson Electric,Language Complexity,CQ42015,10.49,4,2015,2015-12-31
+EFX,Equifax,Language Complexity,CQ42015,13.5,4,2015,2015-12-31
+EXPD,Expeditors International,Language Complexity,CQ42015,,4,2015,2015-12-31
+FDX,FedEx,Language Complexity,CQ42015,12.45,4,2015,2015-12-31
+GE,GE Aerospace,Language Complexity,CQ42015,10.89,4,2015,2015-12-31
+GD,General Dynamics,Language Complexity,CQ42015,10.28,4,2015,2015-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42015,12.41,4,2015,2015-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42015,12.58,4,2015,2015-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42015,11.98,4,2015,2015-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42015,13.04,4,2015,2015-12-31
+PCAR,Paccar,Language Complexity,CQ42015,10.34,4,2015,2015-12-31
+RTX,RTX Corporation,Language Complexity,CQ42015,11.25,4,2015,2015-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42015,11.5,4,2015,2015-12-31
+ROP,Roper Technologies,Language Complexity,CQ42015,12.48,4,2015,2015-12-31
+SNA,Snap-on,Language Complexity,CQ42015,12.0,4,2015,2015-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42015,13.58,4,2015,2015-12-31
+UPS,United Parcel Service,Language Complexity,CQ42015,11.66,4,2015,2015-12-31
+WM,Waste Management,Language Complexity,CQ42015,10.73,4,2015,2015-12-31
+ACN,Accenture,Language Complexity,CQ42015,13.04,4,2015,2015-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42015,14.28,4,2015,2015-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42015,11.87,4,2015,2015-12-31
+APH,Amphenol,Language Complexity,CQ42015,13.71,4,2015,2015-12-31
+ADI,Analog Devices,Language Complexity,CQ42015,12.82,4,2015,2015-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42015,11.49,4,2015,2015-12-31
+AMAT,Applied Materials,Language Complexity,CQ42015,10.86,4,2015,2015-12-31
+ADSK,Autodesk,Language Complexity,CQ42015,11.61,4,2015,2015-12-31
+AVGO,Broadcom,Language Complexity,CQ42015,11.67,4,2015,2015-12-31
+CSCO,Cisco,Language Complexity,CQ42015,11.25,4,2015,2015-12-31
+CTSH,Cognizant,Language Complexity,CQ42015,14.11,4,2015,2015-12-31
+HPQ,HP Inc.,Language Complexity,CQ42015,13.73,4,2015,2015-12-31
+IBM,IBM,Language Complexity,CQ42015,12.56,4,2015,2015-12-31
+INTC,Intel,Language Complexity,CQ42015,10.27,4,2015,2015-12-31
+INTU,Intuit,Language Complexity,CQ42015,11.16,4,2015,2015-12-31
+LRCX,Lam Research,Language Complexity,CQ42015,14.48,4,2015,2015-12-31
+MU,Micron Technology,Language Complexity,CQ42015,12.63,4,2015,2015-12-31
+MSFT,Microsoft,Language Complexity,CQ42015,13.11,4,2015,2015-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42015,11.47,4,2015,2015-12-31
+NTAP,NetApp,Language Complexity,CQ42015,13.53,4,2015,2015-12-31
+NVDA,Nvidia,Language Complexity,CQ42015,11.34,4,2015,2015-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42015,10.75,4,2015,2015-12-31
+TXN,Texas Instruments,Language Complexity,CQ42015,12.51,4,2015,2015-12-31
+APD,Air Products,Language Complexity,CQ42015,12.3,4,2015,2015-12-31
+AVY,Avery Dennison,Language Complexity,CQ42015,12.39,4,2015,2015-12-31
+ECL,Ecolab,Language Complexity,CQ42015,11.1,4,2015,2015-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42015,14.72,4,2015,2015-12-31
+IP,International Paper,Language Complexity,CQ42015,11.22,4,2015,2015-12-31
+LIN,Linde plc,Language Complexity,CQ42015,11.34,4,2015,2015-12-31
+NEM,Newmont,Language Complexity,CQ42015,11.96,4,2015,2015-12-31
+NUE,Nucor,Language Complexity,CQ42015,12.4,4,2015,2015-12-31
+AMT,American Tower,Language Complexity,CQ42015,13.99,4,2015,2015-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42015,12.75,4,2015,2015-12-31
+EQR,Equity Residential,Language Complexity,CQ42015,11.1,4,2015,2015-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42015,12.49,4,2015,2015-12-31
+IRM,Iron Mountain,Language Complexity,CQ42015,12.71,4,2015,2015-12-31
+PLD,Prologis,Language Complexity,CQ42015,9.94,4,2015,2015-12-31
+VTR,Ventas,Language Complexity,CQ42015,11.63,4,2015,2015-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42015,11.48,4,2015,2015-12-31
+AES,AES Corporation,Language Complexity,CQ42015,11.58,4,2015,2015-12-31
+AEE,Ameren,Language Complexity,CQ42015,14.1,4,2015,2015-12-31
+AEP,American Electric Power,Language Complexity,CQ42015,12.52,4,2015,2015-12-31
+CMS,CMS Energy,Language Complexity,CQ42015,10.69,4,2015,2015-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42015,14.16,4,2015,2015-12-31
+DUK,Duke Energy,Language Complexity,CQ42015,12.27,4,2015,2015-12-31
+EIX,Edison International,Language Complexity,CQ42015,11.83,4,2015,2015-12-31
+ETR,Entergy,Language Complexity,CQ42015,13.09,4,2015,2015-12-31
+EXC,Exelon,Language Complexity,CQ42015,11.81,4,2015,2015-12-31
+NEE,NextEra Energy,Language Complexity,CQ42015,14.33,4,2015,2015-12-31
+SO,Southern Company,Language Complexity,CQ42015,10.8,4,2015,2015-12-31
+XEL,Xcel Energy,Language Complexity,CQ42015,11.04,4,2015,2015-12-31
+T,AT&T,Net Positivity,CQ12016,1.5,1,2016,2016-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12016,1.74,1,2016,2016-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12016,,1,2016,2016-03-31
+META,Meta Platforms,Net Positivity,CQ12016,1.65,1,2016,2016-03-31
+NFLX,Netflix,Net Positivity,CQ12016,1.1,1,2016,2016-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12016,0.57,1,2016,2016-03-31
+OMC,Omnicom Group,Net Positivity,CQ12016,0.9,1,2016,2016-03-31
+VZ,Verizon,Net Positivity,CQ12016,1.25,1,2016,2016-03-31
+AMZN,Amazon,Net Positivity,CQ12016,1.38,1,2016,2016-03-31
+AZO,AutoZone,Net Positivity,CQ12016,1.13,1,2016,2016-03-31
+BBY,Best Buy,Net Positivity,CQ12016,1.26,1,2016,2016-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12016,1.59,1,2016,2016-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12016,0.42,1,2016,2016-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12016,,1,2016,2016-03-31
+F,Ford Motor Company,Net Positivity,CQ12016,1.46,1,2016,2016-03-31
+GM,General Motors,Net Positivity,CQ12016,1.59,1,2016,2016-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12016,1.3,1,2016,2016-03-31
+HAS,Hasbro,Net Positivity,CQ12016,1.13,1,2016,2016-03-31
+LOW,Lowe's,Net Positivity,CQ12016,1.98,1,2016,2016-03-31
+MCD,McDonald's,Net Positivity,CQ12016,1.38,1,2016,2016-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12016,2.48,1,2016,2016-03-31
+ROST,Ross Stores,Net Positivity,CQ12016,1.18,1,2016,2016-03-31
+TJX,TJX Companies,Net Positivity,CQ12016,1.76,1,2016,2016-03-31
+TGT,Target,Net Positivity,CQ12016,1.8,1,2016,2016-03-31
+MO,Altria,Net Positivity,CQ12016,0.8,1,2016,2016-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12016,0.46,1,2016,2016-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12016,0.28,1,2016,2016-03-31
+CLX,Clorox,Net Positivity,CQ12016,1.88,1,2016,2016-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12016,1.56,1,2016,2016-03-31
+COST,Costco,Net Positivity,CQ12016,0.62,1,2016,2016-03-31
+GIS,General Mills,Net Positivity,CQ12016,1.28,1,2016,2016-03-31
+HSY,Hershey Company,Net Positivity,CQ12016,0.53,1,2016,2016-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12016,0.87,1,2016,2016-03-31
+KR,Kroger,Net Positivity,CQ12016,1.06,1,2016,2016-03-31
+MKC,McCormick & Company,Net Positivity,CQ12016,1.66,1,2016,2016-03-31
+PEP,PepsiCo,Net Positivity,CQ12016,1.31,1,2016,2016-03-31
+PG,Procter & Gamble,Net Positivity,CQ12016,0.76,1,2016,2016-03-31
+SYY,Sysco,Net Positivity,CQ12016,1.59,1,2016,2016-03-31
+WMT,Walmart,Net Positivity,CQ12016,1.69,1,2016,2016-03-31
+APA,APA Corporation,Net Positivity,CQ12016,0.7,1,2016,2016-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12016,,1,2016,2016-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12016,0.25,1,2016,2016-03-31
+EOG,EOG Resources,Net Positivity,CQ12016,1.97,1,2016,2016-03-31
+XOM,ExxonMobil,Net Positivity,CQ12016,0.84,1,2016,2016-03-31
+HAL,Halliburton,Net Positivity,CQ12016,0.31,1,2016,2016-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12016,1.01,1,2016,2016-03-31
+SLB,Schlumberger,Net Positivity,CQ12016,0.02,1,2016,2016-03-31
+VLO,Valero Energy,Net Positivity,CQ12016,0.62,1,2016,2016-03-31
+AFL,Aflac,Net Positivity,CQ12016,0.58,1,2016,2016-03-31
+ALL,Allstate,Net Positivity,CQ12016,0.16,1,2016,2016-03-31
+AXP,American Express,Net Positivity,CQ12016,1.22,1,2016,2016-03-31
+AIG,American International Group,Net Positivity,CQ12016,0.25,1,2016,2016-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12016,0.69,1,2016,2016-03-31
+AON,Aon plc,Net Positivity,CQ12016,1.47,1,2016,2016-03-31
+BK,BNY Mellon,Net Positivity,CQ12016,0.65,1,2016,2016-03-31
+BAC,Bank of America,Net Positivity,CQ12016,0.61,1,2016,2016-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12016,,1,2016,2016-03-31
+BLK,BlackRock,Net Positivity,CQ12016,0.77,1,2016,2016-03-31
+CME,CME Group,Net Positivity,CQ12016,1.0,1,2016,2016-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12016,,1,2016,2016-03-31
+CB,Chubb Limited,Net Positivity,CQ12016,0.25,1,2016,2016-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12016,1.01,1,2016,2016-03-31
+C,Citigroup,Net Positivity,CQ12016,0.81,1,2016,2016-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12016,1.32,1,2016,2016-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12016,0.57,1,2016,2016-03-31
+FISV,Fiserv,Net Positivity,CQ12016,0.79,1,2016,2016-03-31
+GS,Goldman Sachs,Net Positivity,CQ12016,-0.37,1,2016,2016-03-31
+HIG,Hartford Financial,Net Positivity,CQ12016,0.66,1,2016,2016-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12016,1.03,1,2016,2016-03-31
+IVZ,Invesco,Net Positivity,CQ12016,1.31,1,2016,2016-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12016,0.27,1,2016,2016-03-31
+KEY,KeyCorp,Net Positivity,CQ12016,1.04,1,2016,2016-03-31
+MA,Mastercard,Net Positivity,CQ12016,0.42,1,2016,2016-03-31
+MET,MetLife,Net Positivity,CQ12016,-0.35,1,2016,2016-03-31
+MS,Morgan Stanley,Net Positivity,CQ12016,-0.19,1,2016,2016-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12016,1.4,1,2016,2016-03-31
+NTRS,Northern Trust,Net Positivity,CQ12016,0.65,1,2016,2016-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12016,0.03,1,2016,2016-03-31
+PRU,Prudential Financial,Net Positivity,CQ12016,0.19,1,2016,2016-03-31
+RF,Regions Financial,Net Positivity,CQ12016,0.03,1,2016,2016-03-31
+SPGI,S&P Global,Net Positivity,CQ12016,0.44,1,2016,2016-03-31
+STT,State Street,Net Positivity,CQ12016,0.38,1,2016,2016-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12016,,1,2016,2016-03-31
+TRV,Travelers Companies,Net Positivity,CQ12016,0.7,1,2016,2016-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12016,0.86,1,2016,2016-03-31
+V,Visa,Net Positivity,CQ12016,0.56,1,2016,2016-03-31
+WFC,Wells Fargo,Net Positivity,CQ12016,0.35,1,2016,2016-03-31
+ABBV,AbbVie,Net Positivity,CQ12016,0.86,1,2016,2016-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12016,0.91,1,2016,2016-03-31
+A,Agilent Technologies,Net Positivity,CQ12016,1.15,1,2016,2016-03-31
+AMGN,Amgen,Net Positivity,CQ12016,0.75,1,2016,2016-03-31
+BAX,Baxter International,Net Positivity,CQ12016,1.53,1,2016,2016-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12016,1.54,1,2016,2016-03-31
+BIIB,Biogen,Net Positivity,CQ12016,0.79,1,2016,2016-03-31
+BSX,Boston Scientific,Net Positivity,CQ12016,1.33,1,2016,2016-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12016,1.51,1,2016,2016-03-31
+CVS,CVS Health,Net Positivity,CQ12016,1.25,1,2016,2016-03-31
+COR,Cencora,Net Positivity,CQ12016,,1,2016,2016-03-31
+CI,Cigna,Net Positivity,CQ12016,,1,2016,2016-03-31
+DVA,DaVita,Net Positivity,CQ12016,0.77,1,2016,2016-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12016,1.46,1,2016,2016-03-31
+LLY,Eli Lilly,Net Positivity,CQ12016,0.61,1,2016,2016-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12016,1.24,1,2016,2016-03-31
+HUM,Humana,Net Positivity,CQ12016,,1,2016,2016-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12016,0.82,1,2016,2016-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12016,1.57,1,2016,2016-03-31
+LH,Labcorp,Net Positivity,CQ12016,1.62,1,2016,2016-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12016,0.59,1,2016,2016-03-31
+MDT,Medtronic,Net Positivity,CQ12016,0.95,1,2016,2016-03-31
+MRK,Merck & Co.,Net Positivity,CQ12016,1.38,1,2016,2016-03-31
+PFE,Pfizer,Net Positivity,CQ12016,0.76,1,2016,2016-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12016,1.9,1,2016,2016-03-31
+WAT,Waters Corporation,Net Positivity,CQ12016,1.39,1,2016,2016-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12016,1.36,1,2016,2016-03-31
+MMM,3M,Net Positivity,CQ12016,0.56,1,2016,2016-03-31
+AME,Ametek,Net Positivity,CQ12016,0.71,1,2016,2016-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12016,0.92,1,2016,2016-03-31
+BA,Boeing,Net Positivity,CQ12016,1.45,1,2016,2016-03-31
+CSX,CSX Corporation,Net Positivity,CQ12016,0.53,1,2016,2016-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12016,-0.35,1,2016,2016-03-31
+CTAS,Cintas,Net Positivity,CQ12016,1.06,1,2016,2016-03-31
+CMI,Cummins,Net Positivity,CQ12016,-0.65,1,2016,2016-03-31
+DE,Deere & Company,Net Positivity,CQ12016,0.39,1,2016,2016-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12016,-0.48,1,2016,2016-03-31
+EMR,Emerson Electric,Net Positivity,CQ12016,-0.18,1,2016,2016-03-31
+EFX,Equifax,Net Positivity,CQ12016,1.43,1,2016,2016-03-31
+EXPD,Expeditors International,Net Positivity,CQ12016,,1,2016,2016-03-31
+FDX,FedEx,Net Positivity,CQ12016,0.75,1,2016,2016-03-31
+GE,GE Aerospace,Net Positivity,CQ12016,0.56,1,2016,2016-03-31
+GD,General Dynamics,Net Positivity,CQ12016,0.77,1,2016,2016-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12016,1.41,1,2016,2016-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12016,0.88,1,2016,2016-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12016,0.22,1,2016,2016-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12016,0.84,1,2016,2016-03-31
+PCAR,Paccar,Net Positivity,CQ12016,1.97,1,2016,2016-03-31
+RTX,RTX Corporation,Net Positivity,CQ12016,0.18,1,2016,2016-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12016,0.07,1,2016,2016-03-31
+ROP,Roper Technologies,Net Positivity,CQ12016,0.37,1,2016,2016-03-31
+SNA,Snap-on,Net Positivity,CQ12016,1.02,1,2016,2016-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12016,1.33,1,2016,2016-03-31
+UPS,United Parcel Service,Net Positivity,CQ12016,1.45,1,2016,2016-03-31
+WM,Waste Management,Net Positivity,CQ12016,0.53,1,2016,2016-03-31
+ACN,Accenture,Net Positivity,CQ12016,1.35,1,2016,2016-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12016,2.43,1,2016,2016-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12016,1.18,1,2016,2016-03-31
+APH,Amphenol,Net Positivity,CQ12016,1.7,1,2016,2016-03-31
+ADI,Analog Devices,Net Positivity,CQ12016,0.88,1,2016,2016-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12016,1.15,1,2016,2016-03-31
+AMAT,Applied Materials,Net Positivity,CQ12016,2.25,1,2016,2016-03-31
+ADSK,Autodesk,Net Positivity,CQ12016,0.63,1,2016,2016-03-31
+AVGO,Broadcom,Net Positivity,CQ12016,0.2,1,2016,2016-03-31
+CSCO,Cisco,Net Positivity,CQ12016,1.1,1,2016,2016-03-31
+CTSH,Cognizant,Net Positivity,CQ12016,1.11,1,2016,2016-03-31
+HPQ,HP Inc.,Net Positivity,CQ12016,0.64,1,2016,2016-03-31
+IBM,IBM,Net Positivity,CQ12016,1.16,1,2016,2016-03-31
+INTC,Intel,Net Positivity,CQ12016,0.74,1,2016,2016-03-31
+INTU,Intuit,Net Positivity,CQ12016,1.65,1,2016,2016-03-31
+LRCX,Lam Research,Net Positivity,CQ12016,1.61,1,2016,2016-03-31
+MU,Micron Technology,Net Positivity,CQ12016,0.73,1,2016,2016-03-31
+MSFT,Microsoft,Net Positivity,CQ12016,1.34,1,2016,2016-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12016,0.44,1,2016,2016-03-31
+NTAP,NetApp,Net Positivity,CQ12016,1.41,1,2016,2016-03-31
+NVDA,Nvidia,Net Positivity,CQ12016,1.57,1,2016,2016-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12016,0.85,1,2016,2016-03-31
+TXN,Texas Instruments,Net Positivity,CQ12016,0.31,1,2016,2016-03-31
+APD,Air Products,Net Positivity,CQ12016,1.47,1,2016,2016-03-31
+AVY,Avery Dennison,Net Positivity,CQ12016,1.09,1,2016,2016-03-31
+ECL,Ecolab,Net Positivity,CQ12016,1.07,1,2016,2016-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12016,1.32,1,2016,2016-03-31
+IP,International Paper,Net Positivity,CQ12016,0.71,1,2016,2016-03-31
+LIN,Linde plc,Net Positivity,CQ12016,0.02,1,2016,2016-03-31
+NEM,Newmont,Net Positivity,CQ12016,1.3,1,2016,2016-03-31
+NUE,Nucor,Net Positivity,CQ12016,1.72,1,2016,2016-03-31
+AMT,American Tower,Net Positivity,CQ12016,1.08,1,2016,2016-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12016,0.51,1,2016,2016-03-31
+EQR,Equity Residential,Net Positivity,CQ12016,0.68,1,2016,2016-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12016,0.16,1,2016,2016-03-31
+IRM,Iron Mountain,Net Positivity,CQ12016,0.57,1,2016,2016-03-31
+PLD,Prologis,Net Positivity,CQ12016,0.68,1,2016,2016-03-31
+VTR,Ventas,Net Positivity,CQ12016,1.58,1,2016,2016-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12016,1.63,1,2016,2016-03-31
+AES,AES Corporation,Net Positivity,CQ12016,0.59,1,2016,2016-03-31
+AEE,Ameren,Net Positivity,CQ12016,0.47,1,2016,2016-03-31
+AEP,American Electric Power,Net Positivity,CQ12016,0.87,1,2016,2016-03-31
+CMS,CMS Energy,Net Positivity,CQ12016,1.67,1,2016,2016-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12016,1.11,1,2016,2016-03-31
+DUK,Duke Energy,Net Positivity,CQ12016,1.01,1,2016,2016-03-31
+EIX,Edison International,Net Positivity,CQ12016,0.51,1,2016,2016-03-31
+ETR,Entergy,Net Positivity,CQ12016,0.18,1,2016,2016-03-31
+EXC,Exelon,Net Positivity,CQ12016,0.85,1,2016,2016-03-31
+NEE,NextEra Energy,Net Positivity,CQ12016,0.8,1,2016,2016-03-31
+SO,Southern Company,Net Positivity,CQ12016,0.89,1,2016,2016-03-31
+XEL,Xcel Energy,Net Positivity,CQ12016,0.76,1,2016,2016-03-31
+T,AT&T,Numeric Transeprency,CQ12016,1.93,1,2016,2016-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12016,2.3,1,2016,2016-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12016,,1,2016,2016-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12016,1.89,1,2016,2016-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12016,1.22,1,2016,2016-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12016,2.64,1,2016,2016-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12016,3.17,1,2016,2016-03-31
+VZ,Verizon,Numeric Transeprency,CQ12016,3.61,1,2016,2016-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12016,3.42,1,2016,2016-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12016,2.09,1,2016,2016-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12016,2.17,1,2016,2016-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12016,1.73,1,2016,2016-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12016,1.58,1,2016,2016-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12016,,1,2016,2016-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12016,2.48,1,2016,2016-03-31
+GM,General Motors,Numeric Transeprency,CQ12016,3.0,1,2016,2016-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12016,4.05,1,2016,2016-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12016,3.18,1,2016,2016-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12016,3.08,1,2016,2016-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12016,2.42,1,2016,2016-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12016,1.32,1,2016,2016-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12016,2.41,1,2016,2016-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12016,2.8,1,2016,2016-03-31
+TGT,Target,Numeric Transeprency,CQ12016,2.21,1,2016,2016-03-31
+MO,Altria,Numeric Transeprency,CQ12016,2.65,1,2016,2016-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12016,2.88,1,2016,2016-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12016,1.86,1,2016,2016-03-31
+CLX,Clorox,Numeric Transeprency,CQ12016,1.36,1,2016,2016-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12016,1.77,1,2016,2016-03-31
+COST,Costco,Numeric Transeprency,CQ12016,3.86,1,2016,2016-03-31
+GIS,General Mills,Numeric Transeprency,CQ12016,1.96,1,2016,2016-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12016,2.78,1,2016,2016-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12016,2.39,1,2016,2016-03-31
+KR,Kroger,Numeric Transeprency,CQ12016,1.57,1,2016,2016-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12016,2.43,1,2016,2016-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12016,2.4,1,2016,2016-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12016,2.51,1,2016,2016-03-31
+SYY,Sysco,Numeric Transeprency,CQ12016,1.63,1,2016,2016-03-31
+WMT,Walmart,Numeric Transeprency,CQ12016,2.8,1,2016,2016-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12016,2.99,1,2016,2016-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12016,,1,2016,2016-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12016,2.78,1,2016,2016-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12016,2.86,1,2016,2016-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12016,3.01,1,2016,2016-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12016,1.83,1,2016,2016-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12016,3.95,1,2016,2016-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12016,2.11,1,2016,2016-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12016,2.2,1,2016,2016-03-31
+AFL,Aflac,Numeric Transeprency,CQ12016,2.11,1,2016,2016-03-31
+ALL,Allstate,Numeric Transeprency,CQ12016,3.56,1,2016,2016-03-31
+AXP,American Express,Numeric Transeprency,CQ12016,2.51,1,2016,2016-03-31
+AIG,American International Group,Numeric Transeprency,CQ12016,3.07,1,2016,2016-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12016,1.36,1,2016,2016-03-31
+AON,Aon plc,Numeric Transeprency,CQ12016,3.32,1,2016,2016-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12016,2.66,1,2016,2016-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12016,3.72,1,2016,2016-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12016,,1,2016,2016-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12016,3.02,1,2016,2016-03-31
+CME,CME Group,Numeric Transeprency,CQ12016,2.56,1,2016,2016-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12016,,1,2016,2016-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12016,1.7,1,2016,2016-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12016,2.81,1,2016,2016-03-31
+C,Citigroup,Numeric Transeprency,CQ12016,2.72,1,2016,2016-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12016,3.39,1,2016,2016-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12016,3.26,1,2016,2016-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12016,3.02,1,2016,2016-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12016,2.44,1,2016,2016-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12016,3.77,1,2016,2016-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12016,1.71,1,2016,2016-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12016,2.37,1,2016,2016-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12016,3.06,1,2016,2016-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12016,2.43,1,2016,2016-03-31
+MA,Mastercard,Numeric Transeprency,CQ12016,2.95,1,2016,2016-03-31
+MET,MetLife,Numeric Transeprency,CQ12016,2.73,1,2016,2016-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12016,3.02,1,2016,2016-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12016,2.31,1,2016,2016-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12016,3.16,1,2016,2016-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12016,3.51,1,2016,2016-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12016,2.47,1,2016,2016-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12016,3.86,1,2016,2016-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12016,3.31,1,2016,2016-03-31
+STT,State Street,Numeric Transeprency,CQ12016,3.29,1,2016,2016-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12016,,1,2016,2016-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12016,2.64,1,2016,2016-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12016,1.94,1,2016,2016-03-31
+V,Visa,Numeric Transeprency,CQ12016,1.61,1,2016,2016-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12016,2.89,1,2016,2016-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12016,2.5,1,2016,2016-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12016,1.7,1,2016,2016-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12016,1.94,1,2016,2016-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12016,2.76,1,2016,2016-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12016,2.81,1,2016,2016-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12016,2.54,1,2016,2016-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12016,2.3,1,2016,2016-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12016,5.99,1,2016,2016-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12016,2.21,1,2016,2016-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12016,2.74,1,2016,2016-03-31
+COR,Cencora,Numeric Transeprency,CQ12016,,1,2016,2016-03-31
+CI,Cigna,Numeric Transeprency,CQ12016,,1,2016,2016-03-31
+DVA,DaVita,Numeric Transeprency,CQ12016,3.11,1,2016,2016-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12016,2.09,1,2016,2016-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12016,2.03,1,2016,2016-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12016,3.0,1,2016,2016-03-31
+HUM,Humana,Numeric Transeprency,CQ12016,,1,2016,2016-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12016,3.66,1,2016,2016-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12016,3.24,1,2016,2016-03-31
+LH,Labcorp,Numeric Transeprency,CQ12016,2.96,1,2016,2016-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12016,2.43,1,2016,2016-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12016,2.55,1,2016,2016-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12016,1.99,1,2016,2016-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12016,2.96,1,2016,2016-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12016,4.19,1,2016,2016-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12016,1.89,1,2016,2016-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12016,3.15,1,2016,2016-03-31
+MMM,3M,Numeric Transeprency,CQ12016,4.07,1,2016,2016-03-31
+AME,Ametek,Numeric Transeprency,CQ12016,3.03,1,2016,2016-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12016,1.85,1,2016,2016-03-31
+BA,Boeing,Numeric Transeprency,CQ12016,4.37,1,2016,2016-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12016,2.69,1,2016,2016-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12016,3.2,1,2016,2016-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12016,2.37,1,2016,2016-03-31
+CMI,Cummins,Numeric Transeprency,CQ12016,5.27,1,2016,2016-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12016,2.28,1,2016,2016-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12016,3.16,1,2016,2016-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12016,1.74,1,2016,2016-03-31
+EFX,Equifax,Numeric Transeprency,CQ12016,4.32,1,2016,2016-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12016,,1,2016,2016-03-31
+FDX,FedEx,Numeric Transeprency,CQ12016,2.2,1,2016,2016-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12016,6.5,1,2016,2016-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12016,4.81,1,2016,2016-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12016,4.11,1,2016,2016-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12016,3.14,1,2016,2016-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12016,3.06,1,2016,2016-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12016,3.06,1,2016,2016-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12016,2.47,1,2016,2016-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12016,3.36,1,2016,2016-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12016,2.11,1,2016,2016-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12016,3.98,1,2016,2016-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12016,3.04,1,2016,2016-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12016,3.14,1,2016,2016-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12016,2.65,1,2016,2016-03-31
+WM,Waste Management,Numeric Transeprency,CQ12016,4.42,1,2016,2016-03-31
+ACN,Accenture,Numeric Transeprency,CQ12016,2.94,1,2016,2016-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12016,2.1,1,2016,2016-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12016,2.82,1,2016,2016-03-31
+APH,Amphenol,Numeric Transeprency,CQ12016,2.63,1,2016,2016-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12016,1.54,1,2016,2016-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12016,3.12,1,2016,2016-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12016,2.77,1,2016,2016-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12016,1.47,1,2016,2016-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12016,2.17,1,2016,2016-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12016,2.22,1,2016,2016-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12016,2.14,1,2016,2016-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12016,1.93,1,2016,2016-03-31
+IBM,IBM,Numeric Transeprency,CQ12016,2.7,1,2016,2016-03-31
+INTC,Intel,Numeric Transeprency,CQ12016,2.54,1,2016,2016-03-31
+INTU,Intuit,Numeric Transeprency,CQ12016,2.34,1,2016,2016-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12016,2.72,1,2016,2016-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12016,1.79,1,2016,2016-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12016,2.67,1,2016,2016-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12016,5.37,1,2016,2016-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12016,2.1,1,2016,2016-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12016,1.83,1,2016,2016-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12016,2.05,1,2016,2016-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12016,2.92,1,2016,2016-03-31
+APD,Air Products,Numeric Transeprency,CQ12016,3.17,1,2016,2016-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12016,2.58,1,2016,2016-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12016,2.84,1,2016,2016-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12016,3.37,1,2016,2016-03-31
+IP,International Paper,Numeric Transeprency,CQ12016,2.11,1,2016,2016-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12016,2.1,1,2016,2016-03-31
+NEM,Newmont,Numeric Transeprency,CQ12016,3.12,1,2016,2016-03-31
+NUE,Nucor,Numeric Transeprency,CQ12016,2.3,1,2016,2016-03-31
+AMT,American Tower,Numeric Transeprency,CQ12016,3.76,1,2016,2016-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12016,2.37,1,2016,2016-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12016,3.37,1,2016,2016-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12016,4.38,1,2016,2016-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12016,3.92,1,2016,2016-03-31
+PLD,Prologis,Numeric Transeprency,CQ12016,3.34,1,2016,2016-03-31
+VTR,Ventas,Numeric Transeprency,CQ12016,3.52,1,2016,2016-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12016,3.07,1,2016,2016-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12016,4.3,1,2016,2016-03-31
+AEE,Ameren,Numeric Transeprency,CQ12016,3.78,1,2016,2016-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12016,2.97,1,2016,2016-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12016,3.78,1,2016,2016-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12016,3.89,1,2016,2016-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12016,2.77,1,2016,2016-03-31
+EIX,Edison International,Numeric Transeprency,CQ12016,4.15,1,2016,2016-03-31
+ETR,Entergy,Numeric Transeprency,CQ12016,3.06,1,2016,2016-03-31
+EXC,Exelon,Numeric Transeprency,CQ12016,3.41,1,2016,2016-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12016,3.9,1,2016,2016-03-31
+SO,Southern Company,Numeric Transeprency,CQ12016,2.8,1,2016,2016-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12016,2.61,1,2016,2016-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12016,38.46,1,2016,2016-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12016,22.92,1,2016,2016-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12016,,1,2016,2016-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12016,22.92,1,2016,2016-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12016,2.44,1,2016,2016-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12016,46.15,1,2016,2016-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12016,25.0,1,2016,2016-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12016,24.24,1,2016,2016-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12016,38.46,1,2016,2016-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12016,33.33,1,2016,2016-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12016,34.62,1,2016,2016-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12016,33.33,1,2016,2016-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12016,23.33,1,2016,2016-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12016,,1,2016,2016-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12016,36.84,1,2016,2016-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12016,61.54,1,2016,2016-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12016,69.23,1,2016,2016-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12016,29.63,1,2016,2016-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12016,38.71,1,2016,2016-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12016,18.18,1,2016,2016-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12016,56.67,1,2016,2016-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12016,20.51,1,2016,2016-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12016,25.0,1,2016,2016-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12016,55.56,1,2016,2016-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12016,57.14,1,2016,2016-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12016,23.53,1,2016,2016-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12016,41.18,1,2016,2016-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12016,30.77,1,2016,2016-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12016,38.1,1,2016,2016-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12016,37.04,1,2016,2016-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12016,25.0,1,2016,2016-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12016,46.15,1,2016,2016-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12016,70.59,1,2016,2016-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12016,0.0,1,2016,2016-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12016,35.71,1,2016,2016-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12016,,1,2016,2016-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12016,21.21,1,2016,2016-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12016,27.78,1,2016,2016-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12016,68.0,1,2016,2016-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12016,29.41,1,2016,2016-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12016,29.63,1,2016,2016-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12016,18.42,1,2016,2016-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12016,73.68,1,2016,2016-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12016,18.52,1,2016,2016-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12016,41.94,1,2016,2016-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12016,43.48,1,2016,2016-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12016,58.33,1,2016,2016-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12016,25.0,1,2016,2016-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12016,45.0,1,2016,2016-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12016,32.26,1,2016,2016-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12016,,1,2016,2016-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12016,25.0,1,2016,2016-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12016,,1,2016,2016-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12016,30.77,1,2016,2016-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12016,66.67,1,2016,2016-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12016,48.15,1,2016,2016-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12016,44.44,1,2016,2016-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12016,20.0,1,2016,2016-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12016,47.37,1,2016,2016-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12016,42.86,1,2016,2016-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12016,52.63,1,2016,2016-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12016,37.5,1,2016,2016-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12016,60.0,1,2016,2016-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12016,42.31,1,2016,2016-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12016,29.41,1,2016,2016-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12016,29.73,1,2016,2016-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12016,31.58,1,2016,2016-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12016,29.63,1,2016,2016-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12016,66.67,1,2016,2016-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12016,63.16,1,2016,2016-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12016,18.52,1,2016,2016-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12016,31.58,1,2016,2016-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12016,14.29,1,2016,2016-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12016,61.54,1,2016,2016-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12016,57.89,1,2016,2016-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12016,,1,2016,2016-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12016,25.93,1,2016,2016-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12016,43.33,1,2016,2016-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12016,33.33,1,2016,2016-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12016,37.93,1,2016,2016-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12016,58.82,1,2016,2016-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12016,20.0,1,2016,2016-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12016,72.22,1,2016,2016-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12016,47.62,1,2016,2016-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12016,73.68,1,2016,2016-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12016,39.13,1,2016,2016-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12016,23.08,1,2016,2016-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12016,38.46,1,2016,2016-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12016,,1,2016,2016-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12016,,1,2016,2016-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12016,40.0,1,2016,2016-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12016,39.13,1,2016,2016-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12016,72.73,1,2016,2016-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12016,40.91,1,2016,2016-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12016,,1,2016,2016-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12016,44.44,1,2016,2016-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12016,43.48,1,2016,2016-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12016,66.67,1,2016,2016-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12016,52.94,1,2016,2016-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12016,29.17,1,2016,2016-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12016,45.45,1,2016,2016-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12016,71.43,1,2016,2016-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12016,31.82,1,2016,2016-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12016,31.03,1,2016,2016-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12016,64.71,1,2016,2016-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12016,38.46,1,2016,2016-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12016,45.0,1,2016,2016-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12016,43.48,1,2016,2016-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12016,68.97,1,2016,2016-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12016,21.43,1,2016,2016-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12016,25.0,1,2016,2016-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12016,62.5,1,2016,2016-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12016,37.04,1,2016,2016-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12016,48.28,1,2016,2016-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12016,83.33,1,2016,2016-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12016,,1,2016,2016-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12016,44.44,1,2016,2016-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12016,42.11,1,2016,2016-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12016,47.37,1,2016,2016-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12016,72.22,1,2016,2016-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12016,36.36,1,2016,2016-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12016,61.54,1,2016,2016-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12016,68.42,1,2016,2016-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12016,61.54,1,2016,2016-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12016,45.0,1,2016,2016-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12016,34.62,1,2016,2016-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12016,46.15,1,2016,2016-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12016,71.43,1,2016,2016-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12016,36.84,1,2016,2016-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12016,76.92,1,2016,2016-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12016,64.29,1,2016,2016-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12016,26.67,1,2016,2016-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12016,46.15,1,2016,2016-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12016,52.17,1,2016,2016-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12016,83.33,1,2016,2016-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12016,55.17,1,2016,2016-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12016,14.29,1,2016,2016-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12016,59.09,1,2016,2016-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12016,52.38,1,2016,2016-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12016,26.09,1,2016,2016-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12016,28.95,1,2016,2016-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12016,36.67,1,2016,2016-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12016,20.83,1,2016,2016-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12016,38.46,1,2016,2016-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12016,22.92,1,2016,2016-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12016,27.78,1,2016,2016-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12016,45.0,1,2016,2016-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12016,31.03,1,2016,2016-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12016,33.33,1,2016,2016-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12016,25.0,1,2016,2016-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12016,40.0,1,2016,2016-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12016,44.44,1,2016,2016-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12016,19.51,1,2016,2016-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12016,21.62,1,2016,2016-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12016,63.16,1,2016,2016-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12016,54.55,1,2016,2016-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12016,70.0,1,2016,2016-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12016,46.67,1,2016,2016-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12016,35.29,1,2016,2016-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12016,35.29,1,2016,2016-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12016,41.67,1,2016,2016-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12016,41.67,1,2016,2016-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12016,88.89,1,2016,2016-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12016,60.0,1,2016,2016-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12016,25.0,1,2016,2016-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12016,58.33,1,2016,2016-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12016,46.15,1,2016,2016-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12016,41.67,1,2016,2016-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12016,31.82,1,2016,2016-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12016,20.0,1,2016,2016-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12016,58.33,1,2016,2016-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12016,50.0,1,2016,2016-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12016,31.58,1,2016,2016-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12016,21.05,1,2016,2016-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12016,30.0,1,2016,2016-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12016,18.18,1,2016,2016-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12016,47.37,1,2016,2016-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12016,25.0,1,2016,2016-03-31
+T,AT&T,Language Complexity,CQ12016,11.35,1,2016,2016-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12016,12.53,1,2016,2016-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12016,,1,2016,2016-03-31
+META,Meta Platforms,Language Complexity,CQ12016,12.45,1,2016,2016-03-31
+NFLX,Netflix,Language Complexity,CQ12016,10.64,1,2016,2016-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12016,14.78,1,2016,2016-03-31
+OMC,Omnicom Group,Language Complexity,CQ12016,13.31,1,2016,2016-03-31
+VZ,Verizon,Language Complexity,CQ12016,12.96,1,2016,2016-03-31
+AMZN,Amazon,Language Complexity,CQ12016,11.07,1,2016,2016-03-31
+AZO,AutoZone,Language Complexity,CQ12016,12.5,1,2016,2016-03-31
+BBY,Best Buy,Language Complexity,CQ12016,14.57,1,2016,2016-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12016,12.21,1,2016,2016-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12016,13.82,1,2016,2016-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12016,,1,2016,2016-03-31
+F,Ford Motor Company,Language Complexity,CQ12016,10.7,1,2016,2016-03-31
+GM,General Motors,Language Complexity,CQ12016,12.38,1,2016,2016-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12016,13.16,1,2016,2016-03-31
+HAS,Hasbro,Language Complexity,CQ12016,12.06,1,2016,2016-03-31
+LOW,Lowe's,Language Complexity,CQ12016,13.16,1,2016,2016-03-31
+MCD,McDonald's,Language Complexity,CQ12016,13.42,1,2016,2016-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12016,13.43,1,2016,2016-03-31
+ROST,Ross Stores,Language Complexity,CQ12016,11.27,1,2016,2016-03-31
+TJX,TJX Companies,Language Complexity,CQ12016,11.77,1,2016,2016-03-31
+TGT,Target,Language Complexity,CQ12016,13.26,1,2016,2016-03-31
+MO,Altria,Language Complexity,CQ12016,11.44,1,2016,2016-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12016,12.64,1,2016,2016-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12016,12.3,1,2016,2016-03-31
+CLX,Clorox,Language Complexity,CQ12016,12.4,1,2016,2016-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12016,12.55,1,2016,2016-03-31
+COST,Costco,Language Complexity,CQ12016,9.8,1,2016,2016-03-31
+GIS,General Mills,Language Complexity,CQ12016,12.34,1,2016,2016-03-31
+HSY,Hershey Company,Language Complexity,CQ12016,12.56,1,2016,2016-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12016,10.93,1,2016,2016-03-31
+KR,Kroger,Language Complexity,CQ12016,11.59,1,2016,2016-03-31
+MKC,McCormick & Company,Language Complexity,CQ12016,12.82,1,2016,2016-03-31
+PEP,PepsiCo,Language Complexity,CQ12016,13.71,1,2016,2016-03-31
+PG,Procter & Gamble,Language Complexity,CQ12016,13.01,1,2016,2016-03-31
+SYY,Sysco,Language Complexity,CQ12016,12.73,1,2016,2016-03-31
+WMT,Walmart,Language Complexity,CQ12016,15.09,1,2016,2016-03-31
+APA,APA Corporation,Language Complexity,CQ12016,13.58,1,2016,2016-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12016,,1,2016,2016-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12016,12.59,1,2016,2016-03-31
+EOG,EOG Resources,Language Complexity,CQ12016,12.61,1,2016,2016-03-31
+XOM,ExxonMobil,Language Complexity,CQ12016,11.92,1,2016,2016-03-31
+HAL,Halliburton,Language Complexity,CQ12016,13.01,1,2016,2016-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12016,13.22,1,2016,2016-03-31
+SLB,Schlumberger,Language Complexity,CQ12016,13.6,1,2016,2016-03-31
+VLO,Valero Energy,Language Complexity,CQ12016,10.7,1,2016,2016-03-31
+AFL,Aflac,Language Complexity,CQ12016,13.11,1,2016,2016-03-31
+ALL,Allstate,Language Complexity,CQ12016,12.83,1,2016,2016-03-31
+AXP,American Express,Language Complexity,CQ12016,13.5,1,2016,2016-03-31
+AIG,American International Group,Language Complexity,CQ12016,14.73,1,2016,2016-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12016,12.51,1,2016,2016-03-31
+AON,Aon plc,Language Complexity,CQ12016,13.82,1,2016,2016-03-31
+BK,BNY Mellon,Language Complexity,CQ12016,12.44,1,2016,2016-03-31
+BAC,Bank of America,Language Complexity,CQ12016,11.58,1,2016,2016-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12016,,1,2016,2016-03-31
+BLK,BlackRock,Language Complexity,CQ12016,15.22,1,2016,2016-03-31
+CME,CME Group,Language Complexity,CQ12016,12.16,1,2016,2016-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12016,,1,2016,2016-03-31
+CB,Chubb Limited,Language Complexity,CQ12016,11.66,1,2016,2016-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12016,14.27,1,2016,2016-03-31
+C,Citigroup,Language Complexity,CQ12016,12.46,1,2016,2016-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12016,11.19,1,2016,2016-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12016,13.3,1,2016,2016-03-31
+FISV,Fiserv,Language Complexity,CQ12016,12.18,1,2016,2016-03-31
+GS,Goldman Sachs,Language Complexity,CQ12016,11.96,1,2016,2016-03-31
+HIG,Hartford Financial,Language Complexity,CQ12016,12.84,1,2016,2016-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12016,13.41,1,2016,2016-03-31
+IVZ,Invesco,Language Complexity,CQ12016,10.97,1,2016,2016-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12016,11.76,1,2016,2016-03-31
+KEY,KeyCorp,Language Complexity,CQ12016,13.16,1,2016,2016-03-31
+MA,Mastercard,Language Complexity,CQ12016,11.02,1,2016,2016-03-31
+MET,MetLife,Language Complexity,CQ12016,13.3,1,2016,2016-03-31
+MS,Morgan Stanley,Language Complexity,CQ12016,12.01,1,2016,2016-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12016,13.28,1,2016,2016-03-31
+NTRS,Northern Trust,Language Complexity,CQ12016,12.33,1,2016,2016-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12016,12.92,1,2016,2016-03-31
+PRU,Prudential Financial,Language Complexity,CQ12016,14.16,1,2016,2016-03-31
+RF,Regions Financial,Language Complexity,CQ12016,12.19,1,2016,2016-03-31
+SPGI,S&P Global,Language Complexity,CQ12016,12.67,1,2016,2016-03-31
+STT,State Street,Language Complexity,CQ12016,12.67,1,2016,2016-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12016,,1,2016,2016-03-31
+TRV,Travelers Companies,Language Complexity,CQ12016,13.35,1,2016,2016-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12016,11.62,1,2016,2016-03-31
+V,Visa,Language Complexity,CQ12016,12.39,1,2016,2016-03-31
+WFC,Wells Fargo,Language Complexity,CQ12016,12.38,1,2016,2016-03-31
+ABBV,AbbVie,Language Complexity,CQ12016,12.71,1,2016,2016-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12016,12.64,1,2016,2016-03-31
+A,Agilent Technologies,Language Complexity,CQ12016,10.91,1,2016,2016-03-31
+AMGN,Amgen,Language Complexity,CQ12016,13.42,1,2016,2016-03-31
+BAX,Baxter International,Language Complexity,CQ12016,12.6,1,2016,2016-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12016,12.11,1,2016,2016-03-31
+BIIB,Biogen,Language Complexity,CQ12016,12.52,1,2016,2016-03-31
+BSX,Boston Scientific,Language Complexity,CQ12016,12.63,1,2016,2016-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12016,11.88,1,2016,2016-03-31
+CVS,CVS Health,Language Complexity,CQ12016,12.57,1,2016,2016-03-31
+COR,Cencora,Language Complexity,CQ12016,,1,2016,2016-03-31
+CI,Cigna,Language Complexity,CQ12016,,1,2016,2016-03-31
+DVA,DaVita,Language Complexity,CQ12016,10.79,1,2016,2016-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12016,12.74,1,2016,2016-03-31
+LLY,Eli Lilly,Language Complexity,CQ12016,11.95,1,2016,2016-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12016,12.1,1,2016,2016-03-31
+HUM,Humana,Language Complexity,CQ12016,,1,2016,2016-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12016,12.79,1,2016,2016-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12016,13.79,1,2016,2016-03-31
+LH,Labcorp,Language Complexity,CQ12016,14.02,1,2016,2016-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12016,13.62,1,2016,2016-03-31
+MDT,Medtronic,Language Complexity,CQ12016,14.26,1,2016,2016-03-31
+MRK,Merck & Co.,Language Complexity,CQ12016,12.81,1,2016,2016-03-31
+PFE,Pfizer,Language Complexity,CQ12016,12.71,1,2016,2016-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12016,13.53,1,2016,2016-03-31
+WAT,Waters Corporation,Language Complexity,CQ12016,13.28,1,2016,2016-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12016,13.56,1,2016,2016-03-31
+MMM,3M,Language Complexity,CQ12016,11.31,1,2016,2016-03-31
+AME,Ametek,Language Complexity,CQ12016,10.96,1,2016,2016-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12016,13.03,1,2016,2016-03-31
+BA,Boeing,Language Complexity,CQ12016,13.19,1,2016,2016-03-31
+CSX,CSX Corporation,Language Complexity,CQ12016,12.05,1,2016,2016-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12016,9.78,1,2016,2016-03-31
+CTAS,Cintas,Language Complexity,CQ12016,11.84,1,2016,2016-03-31
+CMI,Cummins,Language Complexity,CQ12016,11.79,1,2016,2016-03-31
+DE,Deere & Company,Language Complexity,CQ12016,11.7,1,2016,2016-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12016,10.91,1,2016,2016-03-31
+EMR,Emerson Electric,Language Complexity,CQ12016,10.93,1,2016,2016-03-31
+EFX,Equifax,Language Complexity,CQ12016,12.77,1,2016,2016-03-31
+EXPD,Expeditors International,Language Complexity,CQ12016,,1,2016,2016-03-31
+FDX,FedEx,Language Complexity,CQ12016,12.91,1,2016,2016-03-31
+GE,GE Aerospace,Language Complexity,CQ12016,10.73,1,2016,2016-03-31
+GD,General Dynamics,Language Complexity,CQ12016,11.09,1,2016,2016-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12016,11.32,1,2016,2016-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12016,13.18,1,2016,2016-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12016,11.89,1,2016,2016-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12016,11.97,1,2016,2016-03-31
+PCAR,Paccar,Language Complexity,CQ12016,10.56,1,2016,2016-03-31
+RTX,RTX Corporation,Language Complexity,CQ12016,10.84,1,2016,2016-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12016,11.57,1,2016,2016-03-31
+ROP,Roper Technologies,Language Complexity,CQ12016,11.69,1,2016,2016-03-31
+SNA,Snap-on,Language Complexity,CQ12016,11.59,1,2016,2016-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12016,14.77,1,2016,2016-03-31
+UPS,United Parcel Service,Language Complexity,CQ12016,11.35,1,2016,2016-03-31
+WM,Waste Management,Language Complexity,CQ12016,10.77,1,2016,2016-03-31
+ACN,Accenture,Language Complexity,CQ12016,13.25,1,2016,2016-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12016,13.86,1,2016,2016-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12016,12.08,1,2016,2016-03-31
+APH,Amphenol,Language Complexity,CQ12016,13.69,1,2016,2016-03-31
+ADI,Analog Devices,Language Complexity,CQ12016,11.22,1,2016,2016-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12016,11.73,1,2016,2016-03-31
+AMAT,Applied Materials,Language Complexity,CQ12016,10.56,1,2016,2016-03-31
+ADSK,Autodesk,Language Complexity,CQ12016,11.58,1,2016,2016-03-31
+AVGO,Broadcom,Language Complexity,CQ12016,12.04,1,2016,2016-03-31
+CSCO,Cisco,Language Complexity,CQ12016,11.9,1,2016,2016-03-31
+CTSH,Cognizant,Language Complexity,CQ12016,13.77,1,2016,2016-03-31
+HPQ,HP Inc.,Language Complexity,CQ12016,12.93,1,2016,2016-03-31
+IBM,IBM,Language Complexity,CQ12016,12.38,1,2016,2016-03-31
+INTC,Intel,Language Complexity,CQ12016,10.91,1,2016,2016-03-31
+INTU,Intuit,Language Complexity,CQ12016,10.52,1,2016,2016-03-31
+LRCX,Lam Research,Language Complexity,CQ12016,13.4,1,2016,2016-03-31
+MU,Micron Technology,Language Complexity,CQ12016,12.99,1,2016,2016-03-31
+MSFT,Microsoft,Language Complexity,CQ12016,13.09,1,2016,2016-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12016,11.99,1,2016,2016-03-31
+NTAP,NetApp,Language Complexity,CQ12016,14.18,1,2016,2016-03-31
+NVDA,Nvidia,Language Complexity,CQ12016,11.58,1,2016,2016-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12016,11.08,1,2016,2016-03-31
+TXN,Texas Instruments,Language Complexity,CQ12016,11.49,1,2016,2016-03-31
+APD,Air Products,Language Complexity,CQ12016,11.52,1,2016,2016-03-31
+AVY,Avery Dennison,Language Complexity,CQ12016,12.17,1,2016,2016-03-31
+ECL,Ecolab,Language Complexity,CQ12016,10.76,1,2016,2016-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12016,14.6,1,2016,2016-03-31
+IP,International Paper,Language Complexity,CQ12016,10.71,1,2016,2016-03-31
+LIN,Linde plc,Language Complexity,CQ12016,11.75,1,2016,2016-03-31
+NEM,Newmont,Language Complexity,CQ12016,11.77,1,2016,2016-03-31
+NUE,Nucor,Language Complexity,CQ12016,11.63,1,2016,2016-03-31
+AMT,American Tower,Language Complexity,CQ12016,13.47,1,2016,2016-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12016,11.84,1,2016,2016-03-31
+EQR,Equity Residential,Language Complexity,CQ12016,12.83,1,2016,2016-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12016,11.96,1,2016,2016-03-31
+IRM,Iron Mountain,Language Complexity,CQ12016,12.37,1,2016,2016-03-31
+PLD,Prologis,Language Complexity,CQ12016,10.09,1,2016,2016-03-31
+VTR,Ventas,Language Complexity,CQ12016,11.99,1,2016,2016-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12016,12.12,1,2016,2016-03-31
+AES,AES Corporation,Language Complexity,CQ12016,12.28,1,2016,2016-03-31
+AEE,Ameren,Language Complexity,CQ12016,14.73,1,2016,2016-03-31
+AEP,American Electric Power,Language Complexity,CQ12016,12.93,1,2016,2016-03-31
+CMS,CMS Energy,Language Complexity,CQ12016,11.01,1,2016,2016-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12016,13.37,1,2016,2016-03-31
+DUK,Duke Energy,Language Complexity,CQ12016,12.89,1,2016,2016-03-31
+EIX,Edison International,Language Complexity,CQ12016,13.12,1,2016,2016-03-31
+ETR,Entergy,Language Complexity,CQ12016,14.09,1,2016,2016-03-31
+EXC,Exelon,Language Complexity,CQ12016,13.56,1,2016,2016-03-31
+NEE,NextEra Energy,Language Complexity,CQ12016,15.81,1,2016,2016-03-31
+SO,Southern Company,Language Complexity,CQ12016,10.76,1,2016,2016-03-31
+XEL,Xcel Energy,Language Complexity,CQ12016,13.28,1,2016,2016-03-31
+T,AT&T,Net Positivity,CQ22016,2.24,2,2016,2016-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22016,2.03,2,2016,2016-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22016,,2,2016,2016-06-30
+META,Meta Platforms,Net Positivity,CQ22016,1.21,2,2016,2016-06-30
+NFLX,Netflix,Net Positivity,CQ22016,1.22,2,2016,2016-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22016,0.66,2,2016,2016-06-30
+OMC,Omnicom Group,Net Positivity,CQ22016,1.04,2,2016,2016-06-30
+VZ,Verizon,Net Positivity,CQ22016,0.9,2,2016,2016-06-30
+AMZN,Amazon,Net Positivity,CQ22016,1.12,2,2016,2016-06-30
+AZO,AutoZone,Net Positivity,CQ22016,0.75,2,2016,2016-06-30
+BBY,Best Buy,Net Positivity,CQ22016,1.49,2,2016,2016-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22016,1.05,2,2016,2016-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22016,0.89,2,2016,2016-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22016,1.8,2,2016,2016-06-30
+F,Ford Motor Company,Net Positivity,CQ22016,1.25,2,2016,2016-06-30
+GM,General Motors,Net Positivity,CQ22016,1.5,2,2016,2016-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22016,0.94,2,2016,2016-06-30
+HAS,Hasbro,Net Positivity,CQ22016,1.36,2,2016,2016-06-30
+LOW,Lowe's,Net Positivity,CQ22016,2.78,2,2016,2016-06-30
+MCD,McDonald's,Net Positivity,CQ22016,2.14,2,2016,2016-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22016,2.6,2,2016,2016-06-30
+ROST,Ross Stores,Net Positivity,CQ22016,0.75,2,2016,2016-06-30
+TJX,TJX Companies,Net Positivity,CQ22016,1.66,2,2016,2016-06-30
+TGT,Target,Net Positivity,CQ22016,1.3,2,2016,2016-06-30
+MO,Altria,Net Positivity,CQ22016,1.12,2,2016,2016-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22016,0.85,2,2016,2016-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22016,0.46,2,2016,2016-06-30
+CLX,Clorox,Net Positivity,CQ22016,2.08,2,2016,2016-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22016,1.31,2,2016,2016-06-30
+COST,Costco,Net Positivity,CQ22016,0.35,2,2016,2016-06-30
+GIS,General Mills,Net Positivity,CQ22016,1.5,2,2016,2016-06-30
+HSY,Hershey Company,Net Positivity,CQ22016,0.43,2,2016,2016-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22016,1.52,2,2016,2016-06-30
+KR,Kroger,Net Positivity,CQ22016,0.81,2,2016,2016-06-30
+MKC,McCormick & Company,Net Positivity,CQ22016,1.7,2,2016,2016-06-30
+PEP,PepsiCo,Net Positivity,CQ22016,1.3,2,2016,2016-06-30
+PG,Procter & Gamble,Net Positivity,CQ22016,1.29,2,2016,2016-06-30
+SYY,Sysco,Net Positivity,CQ22016,1.5,2,2016,2016-06-30
+WMT,Walmart,Net Positivity,CQ22016,2.26,2,2016,2016-06-30
+APA,APA Corporation,Net Positivity,CQ22016,1.04,2,2016,2016-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22016,,2,2016,2016-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22016,0.1,2,2016,2016-06-30
+EOG,EOG Resources,Net Positivity,CQ22016,1.7,2,2016,2016-06-30
+XOM,ExxonMobil,Net Positivity,CQ22016,1.42,2,2016,2016-06-30
+HAL,Halliburton,Net Positivity,CQ22016,-0.17,2,2016,2016-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22016,1.45,2,2016,2016-06-30
+SLB,Schlumberger,Net Positivity,CQ22016,-0.4,2,2016,2016-06-30
+VLO,Valero Energy,Net Positivity,CQ22016,0.59,2,2016,2016-06-30
+AFL,Aflac,Net Positivity,CQ22016,0.59,2,2016,2016-06-30
+ALL,Allstate,Net Positivity,CQ22016,0.05,2,2016,2016-06-30
+AXP,American Express,Net Positivity,CQ22016,0.65,2,2016,2016-06-30
+AIG,American International Group,Net Positivity,CQ22016,0.06,2,2016,2016-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22016,0.95,2,2016,2016-06-30
+AON,Aon plc,Net Positivity,CQ22016,1.41,2,2016,2016-06-30
+BK,BNY Mellon,Net Positivity,CQ22016,1.39,2,2016,2016-06-30
+BAC,Bank of America,Net Positivity,CQ22016,0.59,2,2016,2016-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22016,,2,2016,2016-06-30
+BLK,BlackRock,Net Positivity,CQ22016,1.18,2,2016,2016-06-30
+CME,CME Group,Net Positivity,CQ22016,1.42,2,2016,2016-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22016,,2,2016,2016-06-30
+CB,Chubb Limited,Net Positivity,CQ22016,0.96,2,2016,2016-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22016,1.08,2,2016,2016-06-30
+C,Citigroup,Net Positivity,CQ22016,0.55,2,2016,2016-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22016,1.84,2,2016,2016-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22016,0.56,2,2016,2016-06-30
+FISV,Fiserv,Net Positivity,CQ22016,1.01,2,2016,2016-06-30
+GS,Goldman Sachs,Net Positivity,CQ22016,-0.02,2,2016,2016-06-30
+HIG,Hartford Financial,Net Positivity,CQ22016,-0.67,2,2016,2016-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22016,0.93,2,2016,2016-06-30
+IVZ,Invesco,Net Positivity,CQ22016,0.83,2,2016,2016-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22016,0.44,2,2016,2016-06-30
+KEY,KeyCorp,Net Positivity,CQ22016,0.66,2,2016,2016-06-30
+MA,Mastercard,Net Positivity,CQ22016,0.31,2,2016,2016-06-30
+MET,MetLife,Net Positivity,CQ22016,-0.18,2,2016,2016-06-30
+MS,Morgan Stanley,Net Positivity,CQ22016,0.21,2,2016,2016-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22016,1.35,2,2016,2016-06-30
+NTRS,Northern Trust,Net Positivity,CQ22016,0.56,2,2016,2016-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22016,0.19,2,2016,2016-06-30
+PRU,Prudential Financial,Net Positivity,CQ22016,0.07,2,2016,2016-06-30
+RF,Regions Financial,Net Positivity,CQ22016,0.55,2,2016,2016-06-30
+SPGI,S&P Global,Net Positivity,CQ22016,0.52,2,2016,2016-06-30
+STT,State Street,Net Positivity,CQ22016,0.81,2,2016,2016-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22016,,2,2016,2016-06-30
+TRV,Travelers Companies,Net Positivity,CQ22016,0.17,2,2016,2016-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22016,0.76,2,2016,2016-06-30
+V,Visa,Net Positivity,CQ22016,0.33,2,2016,2016-06-30
+WFC,Wells Fargo,Net Positivity,CQ22016,0.09,2,2016,2016-06-30
+ABBV,AbbVie,Net Positivity,CQ22016,1.48,2,2016,2016-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22016,1.15,2,2016,2016-06-30
+A,Agilent Technologies,Net Positivity,CQ22016,1.58,2,2016,2016-06-30
+AMGN,Amgen,Net Positivity,CQ22016,0.91,2,2016,2016-06-30
+BAX,Baxter International,Net Positivity,CQ22016,1.94,2,2016,2016-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22016,1.83,2,2016,2016-06-30
+BIIB,Biogen,Net Positivity,CQ22016,1.08,2,2016,2016-06-30
+BSX,Boston Scientific,Net Positivity,CQ22016,1.41,2,2016,2016-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22016,1.4,2,2016,2016-06-30
+CVS,CVS Health,Net Positivity,CQ22016,1.24,2,2016,2016-06-30
+COR,Cencora,Net Positivity,CQ22016,,2,2016,2016-06-30
+CI,Cigna,Net Positivity,CQ22016,,2,2016,2016-06-30
+DVA,DaVita,Net Positivity,CQ22016,0.22,2,2016,2016-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22016,1.7,2,2016,2016-06-30
+LLY,Eli Lilly,Net Positivity,CQ22016,0.5,2,2016,2016-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22016,0.72,2,2016,2016-06-30
+HUM,Humana,Net Positivity,CQ22016,,2,2016,2016-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22016,1.04,2,2016,2016-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22016,0.99,2,2016,2016-06-30
+LH,Labcorp,Net Positivity,CQ22016,1.59,2,2016,2016-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22016,1.61,2,2016,2016-06-30
+MDT,Medtronic,Net Positivity,CQ22016,1.15,2,2016,2016-06-30
+MRK,Merck & Co.,Net Positivity,CQ22016,0.82,2,2016,2016-06-30
+PFE,Pfizer,Net Positivity,CQ22016,1.2,2,2016,2016-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22016,2.13,2,2016,2016-06-30
+WAT,Waters Corporation,Net Positivity,CQ22016,1.78,2,2016,2016-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22016,1.8,2,2016,2016-06-30
+MMM,3M,Net Positivity,CQ22016,1.05,2,2016,2016-06-30
+AME,Ametek,Net Positivity,CQ22016,0.77,2,2016,2016-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22016,0.7,2,2016,2016-06-30
+BA,Boeing,Net Positivity,CQ22016,1.36,2,2016,2016-06-30
+CSX,CSX Corporation,Net Positivity,CQ22016,0.41,2,2016,2016-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22016,-0.18,2,2016,2016-06-30
+CTAS,Cintas,Net Positivity,CQ22016,,2,2016,2016-06-30
+CMI,Cummins,Net Positivity,CQ22016,-0.26,2,2016,2016-06-30
+DE,Deere & Company,Net Positivity,CQ22016,-0.11,2,2016,2016-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22016,0.17,2,2016,2016-06-30
+EMR,Emerson Electric,Net Positivity,CQ22016,0.72,2,2016,2016-06-30
+EFX,Equifax,Net Positivity,CQ22016,1.18,2,2016,2016-06-30
+EXPD,Expeditors International,Net Positivity,CQ22016,,2,2016,2016-06-30
+FDX,FedEx,Net Positivity,CQ22016,1.09,2,2016,2016-06-30
+GE,GE Aerospace,Net Positivity,CQ22016,0.89,2,2016,2016-06-30
+GD,General Dynamics,Net Positivity,CQ22016,1.19,2,2016,2016-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22016,1.18,2,2016,2016-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22016,0.71,2,2016,2016-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22016,0.55,2,2016,2016-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22016,0.85,2,2016,2016-06-30
+PCAR,Paccar,Net Positivity,CQ22016,1.82,2,2016,2016-06-30
+RTX,RTX Corporation,Net Positivity,CQ22016,0.78,2,2016,2016-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22016,0.7,2,2016,2016-06-30
+ROP,Roper Technologies,Net Positivity,CQ22016,0.69,2,2016,2016-06-30
+SNA,Snap-on,Net Positivity,CQ22016,1.82,2,2016,2016-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22016,2.52,2,2016,2016-06-30
+UPS,United Parcel Service,Net Positivity,CQ22016,1.29,2,2016,2016-06-30
+WM,Waste Management,Net Positivity,CQ22016,1.17,2,2016,2016-06-30
+ACN,Accenture,Net Positivity,CQ22016,1.73,2,2016,2016-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22016,1.99,2,2016,2016-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22016,0.88,2,2016,2016-06-30
+APH,Amphenol,Net Positivity,CQ22016,1.7,2,2016,2016-06-30
+ADI,Analog Devices,Net Positivity,CQ22016,0.9,2,2016,2016-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22016,0.99,2,2016,2016-06-30
+AMAT,Applied Materials,Net Positivity,CQ22016,2.75,2,2016,2016-06-30
+ADSK,Autodesk,Net Positivity,CQ22016,0.8,2,2016,2016-06-30
+AVGO,Broadcom,Net Positivity,CQ22016,0.83,2,2016,2016-06-30
+CSCO,Cisco,Net Positivity,CQ22016,1.0,2,2016,2016-06-30
+CTSH,Cognizant,Net Positivity,CQ22016,1.14,2,2016,2016-06-30
+HPQ,HP Inc.,Net Positivity,CQ22016,1.77,2,2016,2016-06-30
+IBM,IBM,Net Positivity,CQ22016,0.67,2,2016,2016-06-30
+INTC,Intel,Net Positivity,CQ22016,0.71,2,2016,2016-06-30
+INTU,Intuit,Net Positivity,CQ22016,1.48,2,2016,2016-06-30
+LRCX,Lam Research,Net Positivity,CQ22016,1.26,2,2016,2016-06-30
+MU,Micron Technology,Net Positivity,CQ22016,1.11,2,2016,2016-06-30
+MSFT,Microsoft,Net Positivity,CQ22016,0.65,2,2016,2016-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22016,0.25,2,2016,2016-06-30
+NTAP,NetApp,Net Positivity,CQ22016,1.79,2,2016,2016-06-30
+NVDA,Nvidia,Net Positivity,CQ22016,1.24,2,2016,2016-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22016,0.9,2,2016,2016-06-30
+TXN,Texas Instruments,Net Positivity,CQ22016,0.56,2,2016,2016-06-30
+APD,Air Products,Net Positivity,CQ22016,1.12,2,2016,2016-06-30
+AVY,Avery Dennison,Net Positivity,CQ22016,1.43,2,2016,2016-06-30
+ECL,Ecolab,Net Positivity,CQ22016,0.89,2,2016,2016-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22016,2.03,2,2016,2016-06-30
+IP,International Paper,Net Positivity,CQ22016,1.06,2,2016,2016-06-30
+LIN,Linde plc,Net Positivity,CQ22016,0.61,2,2016,2016-06-30
+NEM,Newmont,Net Positivity,CQ22016,1.5,2,2016,2016-06-30
+NUE,Nucor,Net Positivity,CQ22016,1.37,2,2016,2016-06-30
+AMT,American Tower,Net Positivity,CQ22016,0.78,2,2016,2016-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22016,0.73,2,2016,2016-06-30
+EQR,Equity Residential,Net Positivity,CQ22016,0.42,2,2016,2016-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22016,0.65,2,2016,2016-06-30
+IRM,Iron Mountain,Net Positivity,CQ22016,0.37,2,2016,2016-06-30
+PLD,Prologis,Net Positivity,CQ22016,0.57,2,2016,2016-06-30
+VTR,Ventas,Net Positivity,CQ22016,1.6,2,2016,2016-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22016,0.92,2,2016,2016-06-30
+AES,AES Corporation,Net Positivity,CQ22016,0.95,2,2016,2016-06-30
+AEE,Ameren,Net Positivity,CQ22016,0.3,2,2016,2016-06-30
+AEP,American Electric Power,Net Positivity,CQ22016,0.21,2,2016,2016-06-30
+CMS,CMS Energy,Net Positivity,CQ22016,1.3,2,2016,2016-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22016,0.72,2,2016,2016-06-30
+DUK,Duke Energy,Net Positivity,CQ22016,1.07,2,2016,2016-06-30
+EIX,Edison International,Net Positivity,CQ22016,0.3,2,2016,2016-06-30
+ETR,Entergy,Net Positivity,CQ22016,0.59,2,2016,2016-06-30
+EXC,Exelon,Net Positivity,CQ22016,0.41,2,2016,2016-06-30
+NEE,NextEra Energy,Net Positivity,CQ22016,1.62,2,2016,2016-06-30
+SO,Southern Company,Net Positivity,CQ22016,1.14,2,2016,2016-06-30
+XEL,Xcel Energy,Net Positivity,CQ22016,0.65,2,2016,2016-06-30
+T,AT&T,Numeric Transeprency,CQ22016,1.84,2,2016,2016-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22016,1.71,2,2016,2016-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22016,,2,2016,2016-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22016,1.77,2,2016,2016-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22016,1.22,2,2016,2016-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22016,2.67,2,2016,2016-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22016,2.96,2,2016,2016-06-30
+VZ,Verizon,Numeric Transeprency,CQ22016,2.7,2,2016,2016-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22016,2.76,2,2016,2016-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22016,2.33,2,2016,2016-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22016,1.75,2,2016,2016-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22016,1.44,2,2016,2016-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22016,2.07,2,2016,2016-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22016,2.17,2,2016,2016-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22016,1.78,2,2016,2016-06-30
+GM,General Motors,Numeric Transeprency,CQ22016,2.13,2,2016,2016-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22016,2.99,2,2016,2016-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22016,1.79,2,2016,2016-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22016,2.02,2,2016,2016-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22016,2.14,2,2016,2016-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22016,2.0,2,2016,2016-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22016,1.63,2,2016,2016-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22016,1.84,2,2016,2016-06-30
+TGT,Target,Numeric Transeprency,CQ22016,1.12,2,2016,2016-06-30
+MO,Altria,Numeric Transeprency,CQ22016,1.9,2,2016,2016-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22016,1.92,2,2016,2016-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22016,1.78,2,2016,2016-06-30
+CLX,Clorox,Numeric Transeprency,CQ22016,1.97,2,2016,2016-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22016,1.55,2,2016,2016-06-30
+COST,Costco,Numeric Transeprency,CQ22016,4.51,2,2016,2016-06-30
+GIS,General Mills,Numeric Transeprency,CQ22016,3.02,2,2016,2016-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22016,2.16,2,2016,2016-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22016,1.22,2,2016,2016-06-30
+KR,Kroger,Numeric Transeprency,CQ22016,1.38,2,2016,2016-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22016,1.95,2,2016,2016-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22016,1.77,2,2016,2016-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22016,2.6,2,2016,2016-06-30
+SYY,Sysco,Numeric Transeprency,CQ22016,1.66,2,2016,2016-06-30
+WMT,Walmart,Numeric Transeprency,CQ22016,2.43,2,2016,2016-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22016,2.48,2,2016,2016-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22016,,2,2016,2016-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22016,2.01,2,2016,2016-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22016,1.82,2,2016,2016-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22016,1.96,2,2016,2016-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22016,1.17,2,2016,2016-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22016,3.1,2,2016,2016-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22016,2.03,2,2016,2016-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22016,1.76,2,2016,2016-06-30
+AFL,Aflac,Numeric Transeprency,CQ22016,1.73,2,2016,2016-06-30
+ALL,Allstate,Numeric Transeprency,CQ22016,2.74,2,2016,2016-06-30
+AXP,American Express,Numeric Transeprency,CQ22016,1.59,2,2016,2016-06-30
+AIG,American International Group,Numeric Transeprency,CQ22016,2.95,2,2016,2016-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22016,1.28,2,2016,2016-06-30
+AON,Aon plc,Numeric Transeprency,CQ22016,2.98,2,2016,2016-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22016,1.99,2,2016,2016-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22016,3.17,2,2016,2016-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22016,,2,2016,2016-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22016,1.64,2,2016,2016-06-30
+CME,CME Group,Numeric Transeprency,CQ22016,2.49,2,2016,2016-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22016,,2,2016,2016-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22016,2.07,2,2016,2016-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22016,2.06,2,2016,2016-06-30
+C,Citigroup,Numeric Transeprency,CQ22016,2.46,2,2016,2016-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22016,2.36,2,2016,2016-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22016,2.86,2,2016,2016-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22016,2.09,2,2016,2016-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22016,1.55,2,2016,2016-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22016,3.79,2,2016,2016-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22016,1.81,2,2016,2016-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22016,1.82,2,2016,2016-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22016,2.11,2,2016,2016-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22016,2.48,2,2016,2016-06-30
+MA,Mastercard,Numeric Transeprency,CQ22016,1.58,2,2016,2016-06-30
+MET,MetLife,Numeric Transeprency,CQ22016,2.86,2,2016,2016-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22016,2.28,2,2016,2016-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22016,2.54,2,2016,2016-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22016,3.58,2,2016,2016-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22016,2.24,2,2016,2016-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22016,2.25,2,2016,2016-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22016,2.56,2,2016,2016-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22016,1.92,2,2016,2016-06-30
+STT,State Street,Numeric Transeprency,CQ22016,2.38,2,2016,2016-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22016,,2,2016,2016-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22016,2.35,2,2016,2016-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22016,2.09,2,2016,2016-06-30
+V,Visa,Numeric Transeprency,CQ22016,1.54,2,2016,2016-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22016,2.27,2,2016,2016-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22016,1.85,2,2016,2016-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22016,1.46,2,2016,2016-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22016,2.11,2,2016,2016-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22016,2.21,2,2016,2016-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22016,2.04,2,2016,2016-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22016,2.12,2,2016,2016-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22016,1.58,2,2016,2016-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22016,4.66,2,2016,2016-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22016,1.28,2,2016,2016-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22016,2.01,2,2016,2016-06-30
+COR,Cencora,Numeric Transeprency,CQ22016,,2,2016,2016-06-30
+CI,Cigna,Numeric Transeprency,CQ22016,,2,2016,2016-06-30
+DVA,DaVita,Numeric Transeprency,CQ22016,2.57,2,2016,2016-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22016,1.6,2,2016,2016-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22016,2.02,2,2016,2016-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22016,2.54,2,2016,2016-06-30
+HUM,Humana,Numeric Transeprency,CQ22016,,2,2016,2016-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22016,2.72,2,2016,2016-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22016,3.48,2,2016,2016-06-30
+LH,Labcorp,Numeric Transeprency,CQ22016,2.37,2,2016,2016-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22016,2.98,2,2016,2016-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22016,2.6,2,2016,2016-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22016,1.3,2,2016,2016-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22016,2.22,2,2016,2016-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22016,2.65,2,2016,2016-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22016,1.56,2,2016,2016-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22016,1.96,2,2016,2016-06-30
+MMM,3M,Numeric Transeprency,CQ22016,2.75,2,2016,2016-06-30
+AME,Ametek,Numeric Transeprency,CQ22016,2.74,2,2016,2016-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22016,1.28,2,2016,2016-06-30
+BA,Boeing,Numeric Transeprency,CQ22016,2.54,2,2016,2016-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22016,1.87,2,2016,2016-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22016,1.81,2,2016,2016-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22016,,2,2016,2016-06-30
+CMI,Cummins,Numeric Transeprency,CQ22016,3.04,2,2016,2016-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22016,2.49,2,2016,2016-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22016,2.13,2,2016,2016-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22016,1.54,2,2016,2016-06-30
+EFX,Equifax,Numeric Transeprency,CQ22016,3.06,2,2016,2016-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22016,,2,2016,2016-06-30
+FDX,FedEx,Numeric Transeprency,CQ22016,2.34,2,2016,2016-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22016,5.73,2,2016,2016-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22016,2.8,2,2016,2016-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22016,2.76,2,2016,2016-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22016,1.84,2,2016,2016-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22016,2.71,2,2016,2016-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22016,1.52,2,2016,2016-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22016,2.27,2,2016,2016-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22016,2.99,2,2016,2016-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22016,2.16,2,2016,2016-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22016,3.15,2,2016,2016-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22016,3.06,2,2016,2016-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22016,2.49,2,2016,2016-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22016,1.69,2,2016,2016-06-30
+WM,Waste Management,Numeric Transeprency,CQ22016,3.06,2,2016,2016-06-30
+ACN,Accenture,Numeric Transeprency,CQ22016,2.81,2,2016,2016-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22016,2.09,2,2016,2016-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22016,2.37,2,2016,2016-06-30
+APH,Amphenol,Numeric Transeprency,CQ22016,2.06,2,2016,2016-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22016,1.4,2,2016,2016-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22016,2.57,2,2016,2016-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22016,2.97,2,2016,2016-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22016,1.31,2,2016,2016-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22016,1.59,2,2016,2016-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22016,2.57,2,2016,2016-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22016,2.1,2,2016,2016-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22016,1.92,2,2016,2016-06-30
+IBM,IBM,Numeric Transeprency,CQ22016,2.17,2,2016,2016-06-30
+INTC,Intel,Numeric Transeprency,CQ22016,1.66,2,2016,2016-06-30
+INTU,Intuit,Numeric Transeprency,CQ22016,2.03,2,2016,2016-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22016,1.83,2,2016,2016-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22016,1.75,2,2016,2016-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22016,2.45,2,2016,2016-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22016,3.51,2,2016,2016-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22016,2.15,2,2016,2016-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22016,1.73,2,2016,2016-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22016,2.59,2,2016,2016-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22016,2.17,2,2016,2016-06-30
+APD,Air Products,Numeric Transeprency,CQ22016,3.2,2,2016,2016-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22016,1.48,2,2016,2016-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22016,1.45,2,2016,2016-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22016,2.36,2,2016,2016-06-30
+IP,International Paper,Numeric Transeprency,CQ22016,1.2,2,2016,2016-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22016,1.1,2,2016,2016-06-30
+NEM,Newmont,Numeric Transeprency,CQ22016,3.55,2,2016,2016-06-30
+NUE,Nucor,Numeric Transeprency,CQ22016,1.95,2,2016,2016-06-30
+AMT,American Tower,Numeric Transeprency,CQ22016,2.64,2,2016,2016-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22016,1.74,2,2016,2016-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22016,3.16,2,2016,2016-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22016,1.56,2,2016,2016-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22016,2.37,2,2016,2016-06-30
+PLD,Prologis,Numeric Transeprency,CQ22016,2.77,2,2016,2016-06-30
+VTR,Ventas,Numeric Transeprency,CQ22016,2.3,2,2016,2016-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22016,3.42,2,2016,2016-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22016,3.43,2,2016,2016-06-30
+AEE,Ameren,Numeric Transeprency,CQ22016,2.72,2,2016,2016-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22016,1.87,2,2016,2016-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22016,2.73,2,2016,2016-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22016,3.58,2,2016,2016-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22016,2.08,2,2016,2016-06-30
+EIX,Edison International,Numeric Transeprency,CQ22016,2.25,2,2016,2016-06-30
+ETR,Entergy,Numeric Transeprency,CQ22016,1.91,2,2016,2016-06-30
+EXC,Exelon,Numeric Transeprency,CQ22016,3.4,2,2016,2016-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22016,3.52,2,2016,2016-06-30
+SO,Southern Company,Numeric Transeprency,CQ22016,2.44,2,2016,2016-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22016,2.5,2,2016,2016-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22016,33.33,2,2016,2016-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22016,24.49,2,2016,2016-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22016,,2,2016,2016-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22016,22.92,2,2016,2016-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22016,2.38,2,2016,2016-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22016,36.36,2,2016,2016-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22016,29.41,2,2016,2016-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22016,23.53,2,2016,2016-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22016,32.35,2,2016,2016-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22016,40.0,2,2016,2016-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22016,37.04,2,2016,2016-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22016,43.33,2,2016,2016-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22016,12.5,2,2016,2016-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22016,57.14,2,2016,2016-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22016,47.62,2,2016,2016-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22016,36.36,2,2016,2016-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22016,61.54,2,2016,2016-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22016,60.0,2,2016,2016-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22016,40.0,2,2016,2016-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22016,39.39,2,2016,2016-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22016,11.11,2,2016,2016-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22016,51.61,2,2016,2016-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22016,28.95,2,2016,2016-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22016,27.59,2,2016,2016-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22016,71.43,2,2016,2016-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22016,33.33,2,2016,2016-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22016,47.06,2,2016,2016-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22016,27.59,2,2016,2016-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22016,42.86,2,2016,2016-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22016,52.63,2,2016,2016-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22016,56.25,2,2016,2016-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22016,43.75,2,2016,2016-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22016,61.54,2,2016,2016-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22016,38.46,2,2016,2016-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22016,51.85,2,2016,2016-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22016,73.33,2,2016,2016-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22016,0.0,2,2016,2016-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22016,32.14,2,2016,2016-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22016,,2,2016,2016-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22016,20.0,2,2016,2016-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22016,21.62,2,2016,2016-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22016,53.85,2,2016,2016-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22016,25.0,2,2016,2016-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22016,17.86,2,2016,2016-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22016,22.22,2,2016,2016-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22016,57.89,2,2016,2016-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22016,52.94,2,2016,2016-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22016,32.0,2,2016,2016-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22016,36.67,2,2016,2016-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22016,55.0,2,2016,2016-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22016,66.67,2,2016,2016-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22016,27.27,2,2016,2016-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22016,36.67,2,2016,2016-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22016,,2,2016,2016-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22016,35.0,2,2016,2016-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22016,62.5,2,2016,2016-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22016,,2,2016,2016-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22016,42.86,2,2016,2016-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22016,33.33,2,2016,2016-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22016,51.85,2,2016,2016-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22016,42.11,2,2016,2016-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22016,25.0,2,2016,2016-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22016,35.0,2,2016,2016-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22016,35.29,2,2016,2016-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22016,30.0,2,2016,2016-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22016,66.67,2,2016,2016-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22016,45.16,2,2016,2016-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22016,28.57,2,2016,2016-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22016,35.14,2,2016,2016-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22016,54.17,2,2016,2016-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22016,52.63,2,2016,2016-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22016,23.53,2,2016,2016-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22016,44.44,2,2016,2016-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22016,39.39,2,2016,2016-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22016,76.92,2,2016,2016-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22016,57.89,2,2016,2016-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22016,,2,2016,2016-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22016,33.33,2,2016,2016-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22016,32.26,2,2016,2016-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22016,37.84,2,2016,2016-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22016,39.39,2,2016,2016-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22016,33.33,2,2016,2016-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22016,21.74,2,2016,2016-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22016,94.12,2,2016,2016-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22016,47.62,2,2016,2016-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22016,66.67,2,2016,2016-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22016,68.42,2,2016,2016-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22016,56.52,2,2016,2016-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22016,23.08,2,2016,2016-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22016,52.17,2,2016,2016-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22016,46.15,2,2016,2016-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22016,,2,2016,2016-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22016,,2,2016,2016-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22016,39.13,2,2016,2016-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22016,54.17,2,2016,2016-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22016,,2,2016,2016-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22016,55.0,2,2016,2016-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22016,47.62,2,2016,2016-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22016,75.0,2,2016,2016-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22016,28.0,2,2016,2016-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22016,56.52,2,2016,2016-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22016,69.57,2,2016,2016-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22016,40.0,2,2016,2016-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22016,52.38,2,2016,2016-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22016,24.14,2,2016,2016-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22016,57.89,2,2016,2016-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22016,40.0,2,2016,2016-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22016,25.0,2,2016,2016-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22016,43.48,2,2016,2016-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22016,53.57,2,2016,2016-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22016,34.78,2,2016,2016-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22016,,2,2016,2016-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22016,36.0,2,2016,2016-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22016,59.09,2,2016,2016-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22016,48.15,2,2016,2016-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22016,42.31,2,2016,2016-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22016,92.86,2,2016,2016-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22016,,2,2016,2016-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22016,19.23,2,2016,2016-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22016,52.63,2,2016,2016-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22016,57.14,2,2016,2016-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22016,66.67,2,2016,2016-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22016,57.14,2,2016,2016-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22016,52.0,2,2016,2016-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22016,73.68,2,2016,2016-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22016,34.78,2,2016,2016-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22016,47.62,2,2016,2016-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22016,28.0,2,2016,2016-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22016,61.54,2,2016,2016-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22016,71.43,2,2016,2016-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22016,42.11,2,2016,2016-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22016,61.54,2,2016,2016-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22016,60.0,2,2016,2016-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22016,27.59,2,2016,2016-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22016,65.38,2,2016,2016-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22016,91.67,2,2016,2016-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22016,48.28,2,2016,2016-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22016,11.63,2,2016,2016-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22016,57.14,2,2016,2016-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22016,45.45,2,2016,2016-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22016,39.13,2,2016,2016-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22016,29.73,2,2016,2016-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22016,45.16,2,2016,2016-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22016,33.33,2,2016,2016-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22016,40.0,2,2016,2016-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22016,25.0,2,2016,2016-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22016,47.62,2,2016,2016-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22016,60.0,2,2016,2016-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22016,41.38,2,2016,2016-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22016,30.56,2,2016,2016-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22016,47.06,2,2016,2016-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22016,16.67,2,2016,2016-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22016,36.67,2,2016,2016-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22016,17.07,2,2016,2016-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22016,33.33,2,2016,2016-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22016,68.42,2,2016,2016-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22016,40.0,2,2016,2016-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22016,69.57,2,2016,2016-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22016,54.55,2,2016,2016-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22016,61.11,2,2016,2016-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22016,50.0,2,2016,2016-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22016,11.76,2,2016,2016-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22016,35.29,2,2016,2016-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22016,66.67,2,2016,2016-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22016,22.22,2,2016,2016-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22016,33.33,2,2016,2016-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22016,70.0,2,2016,2016-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22016,57.14,2,2016,2016-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22016,54.55,2,2016,2016-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22016,42.86,2,2016,2016-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22016,45.45,2,2016,2016-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22016,53.85,2,2016,2016-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22016,33.33,2,2016,2016-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22016,38.1,2,2016,2016-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22016,14.29,2,2016,2016-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22016,28.57,2,2016,2016-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22016,36.36,2,2016,2016-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22016,42.11,2,2016,2016-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22016,36.84,2,2016,2016-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22016,30.0,2,2016,2016-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22016,14.29,2,2016,2016-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22016,31.58,2,2016,2016-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22016,20.0,2,2016,2016-06-30
+T,AT&T,Language Complexity,CQ22016,11.71,2,2016,2016-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22016,12.17,2,2016,2016-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22016,,2,2016,2016-06-30
+META,Meta Platforms,Language Complexity,CQ22016,12.13,2,2016,2016-06-30
+NFLX,Netflix,Language Complexity,CQ22016,10.46,2,2016,2016-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22016,14.84,2,2016,2016-06-30
+OMC,Omnicom Group,Language Complexity,CQ22016,13.68,2,2016,2016-06-30
+VZ,Verizon,Language Complexity,CQ22016,12.63,2,2016,2016-06-30
+AMZN,Amazon,Language Complexity,CQ22016,10.7,2,2016,2016-06-30
+AZO,AutoZone,Language Complexity,CQ22016,12.47,2,2016,2016-06-30
+BBY,Best Buy,Language Complexity,CQ22016,12.96,2,2016,2016-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22016,13.83,2,2016,2016-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22016,13.78,2,2016,2016-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22016,10.72,2,2016,2016-06-30
+F,Ford Motor Company,Language Complexity,CQ22016,10.52,2,2016,2016-06-30
+GM,General Motors,Language Complexity,CQ22016,12.16,2,2016,2016-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22016,12.22,2,2016,2016-06-30
+HAS,Hasbro,Language Complexity,CQ22016,11.45,2,2016,2016-06-30
+LOW,Lowe's,Language Complexity,CQ22016,13.02,2,2016,2016-06-30
+MCD,McDonald's,Language Complexity,CQ22016,12.8,2,2016,2016-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22016,13.7,2,2016,2016-06-30
+ROST,Ross Stores,Language Complexity,CQ22016,10.19,2,2016,2016-06-30
+TJX,TJX Companies,Language Complexity,CQ22016,11.73,2,2016,2016-06-30
+TGT,Target,Language Complexity,CQ22016,12.77,2,2016,2016-06-30
+MO,Altria,Language Complexity,CQ22016,11.02,2,2016,2016-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22016,11.43,2,2016,2016-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22016,12.61,2,2016,2016-06-30
+CLX,Clorox,Language Complexity,CQ22016,14.09,2,2016,2016-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22016,13.51,2,2016,2016-06-30
+COST,Costco,Language Complexity,CQ22016,10.21,2,2016,2016-06-30
+GIS,General Mills,Language Complexity,CQ22016,12.71,2,2016,2016-06-30
+HSY,Hershey Company,Language Complexity,CQ22016,12.71,2,2016,2016-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22016,10.57,2,2016,2016-06-30
+KR,Kroger,Language Complexity,CQ22016,11.33,2,2016,2016-06-30
+MKC,McCormick & Company,Language Complexity,CQ22016,12.8,2,2016,2016-06-30
+PEP,PepsiCo,Language Complexity,CQ22016,13.3,2,2016,2016-06-30
+PG,Procter & Gamble,Language Complexity,CQ22016,12.41,2,2016,2016-06-30
+SYY,Sysco,Language Complexity,CQ22016,12.42,2,2016,2016-06-30
+WMT,Walmart,Language Complexity,CQ22016,15.47,2,2016,2016-06-30
+APA,APA Corporation,Language Complexity,CQ22016,11.87,2,2016,2016-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22016,,2,2016,2016-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22016,13.88,2,2016,2016-06-30
+EOG,EOG Resources,Language Complexity,CQ22016,12.01,2,2016,2016-06-30
+XOM,ExxonMobil,Language Complexity,CQ22016,12.13,2,2016,2016-06-30
+HAL,Halliburton,Language Complexity,CQ22016,12.89,2,2016,2016-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22016,13.53,2,2016,2016-06-30
+SLB,Schlumberger,Language Complexity,CQ22016,14.32,2,2016,2016-06-30
+VLO,Valero Energy,Language Complexity,CQ22016,11.03,2,2016,2016-06-30
+AFL,Aflac,Language Complexity,CQ22016,13.36,2,2016,2016-06-30
+ALL,Allstate,Language Complexity,CQ22016,12.62,2,2016,2016-06-30
+AXP,American Express,Language Complexity,CQ22016,12.73,2,2016,2016-06-30
+AIG,American International Group,Language Complexity,CQ22016,14.53,2,2016,2016-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22016,13.05,2,2016,2016-06-30
+AON,Aon plc,Language Complexity,CQ22016,13.21,2,2016,2016-06-30
+BK,BNY Mellon,Language Complexity,CQ22016,13.18,2,2016,2016-06-30
+BAC,Bank of America,Language Complexity,CQ22016,11.94,2,2016,2016-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22016,,2,2016,2016-06-30
+BLK,BlackRock,Language Complexity,CQ22016,15.72,2,2016,2016-06-30
+CME,CME Group,Language Complexity,CQ22016,12.46,2,2016,2016-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22016,,2,2016,2016-06-30
+CB,Chubb Limited,Language Complexity,CQ22016,11.58,2,2016,2016-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22016,11.87,2,2016,2016-06-30
+C,Citigroup,Language Complexity,CQ22016,11.92,2,2016,2016-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22016,11.68,2,2016,2016-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22016,11.61,2,2016,2016-06-30
+FISV,Fiserv,Language Complexity,CQ22016,11.5,2,2016,2016-06-30
+GS,Goldman Sachs,Language Complexity,CQ22016,11.44,2,2016,2016-06-30
+HIG,Hartford Financial,Language Complexity,CQ22016,12.96,2,2016,2016-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22016,12.22,2,2016,2016-06-30
+IVZ,Invesco,Language Complexity,CQ22016,11.49,2,2016,2016-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22016,11.9,2,2016,2016-06-30
+KEY,KeyCorp,Language Complexity,CQ22016,12.89,2,2016,2016-06-30
+MA,Mastercard,Language Complexity,CQ22016,12.1,2,2016,2016-06-30
+MET,MetLife,Language Complexity,CQ22016,12.57,2,2016,2016-06-30
+MS,Morgan Stanley,Language Complexity,CQ22016,11.43,2,2016,2016-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22016,12.83,2,2016,2016-06-30
+NTRS,Northern Trust,Language Complexity,CQ22016,12.87,2,2016,2016-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22016,11.86,2,2016,2016-06-30
+PRU,Prudential Financial,Language Complexity,CQ22016,13.6,2,2016,2016-06-30
+RF,Regions Financial,Language Complexity,CQ22016,12.23,2,2016,2016-06-30
+SPGI,S&P Global,Language Complexity,CQ22016,12.03,2,2016,2016-06-30
+STT,State Street,Language Complexity,CQ22016,12.29,2,2016,2016-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22016,,2,2016,2016-06-30
+TRV,Travelers Companies,Language Complexity,CQ22016,12.39,2,2016,2016-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22016,11.33,2,2016,2016-06-30
+V,Visa,Language Complexity,CQ22016,11.18,2,2016,2016-06-30
+WFC,Wells Fargo,Language Complexity,CQ22016,12.76,2,2016,2016-06-30
+ABBV,AbbVie,Language Complexity,CQ22016,13.69,2,2016,2016-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22016,11.1,2,2016,2016-06-30
+A,Agilent Technologies,Language Complexity,CQ22016,11.12,2,2016,2016-06-30
+AMGN,Amgen,Language Complexity,CQ22016,13.67,2,2016,2016-06-30
+BAX,Baxter International,Language Complexity,CQ22016,11.98,2,2016,2016-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22016,12.27,2,2016,2016-06-30
+BIIB,Biogen,Language Complexity,CQ22016,12.31,2,2016,2016-06-30
+BSX,Boston Scientific,Language Complexity,CQ22016,13.39,2,2016,2016-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22016,12.25,2,2016,2016-06-30
+CVS,CVS Health,Language Complexity,CQ22016,12.91,2,2016,2016-06-30
+COR,Cencora,Language Complexity,CQ22016,,2,2016,2016-06-30
+CI,Cigna,Language Complexity,CQ22016,,2,2016,2016-06-30
+DVA,DaVita,Language Complexity,CQ22016,11.05,2,2016,2016-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22016,11.93,2,2016,2016-06-30
+LLY,Eli Lilly,Language Complexity,CQ22016,12.31,2,2016,2016-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22016,11.72,2,2016,2016-06-30
+HUM,Humana,Language Complexity,CQ22016,,2,2016,2016-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22016,12.49,2,2016,2016-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22016,12.24,2,2016,2016-06-30
+LH,Labcorp,Language Complexity,CQ22016,13.79,2,2016,2016-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22016,15.49,2,2016,2016-06-30
+MDT,Medtronic,Language Complexity,CQ22016,13.51,2,2016,2016-06-30
+MRK,Merck & Co.,Language Complexity,CQ22016,12.42,2,2016,2016-06-30
+PFE,Pfizer,Language Complexity,CQ22016,12.96,2,2016,2016-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22016,12.85,2,2016,2016-06-30
+WAT,Waters Corporation,Language Complexity,CQ22016,12.83,2,2016,2016-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22016,14.45,2,2016,2016-06-30
+MMM,3M,Language Complexity,CQ22016,11.66,2,2016,2016-06-30
+AME,Ametek,Language Complexity,CQ22016,11.23,2,2016,2016-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22016,13.47,2,2016,2016-06-30
+BA,Boeing,Language Complexity,CQ22016,12.29,2,2016,2016-06-30
+CSX,CSX Corporation,Language Complexity,CQ22016,12.21,2,2016,2016-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22016,9.05,2,2016,2016-06-30
+CTAS,Cintas,Language Complexity,CQ22016,,2,2016,2016-06-30
+CMI,Cummins,Language Complexity,CQ22016,11.51,2,2016,2016-06-30
+DE,Deere & Company,Language Complexity,CQ22016,11.52,2,2016,2016-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22016,10.41,2,2016,2016-06-30
+EMR,Emerson Electric,Language Complexity,CQ22016,10.59,2,2016,2016-06-30
+EFX,Equifax,Language Complexity,CQ22016,12.44,2,2016,2016-06-30
+EXPD,Expeditors International,Language Complexity,CQ22016,,2,2016,2016-06-30
+FDX,FedEx,Language Complexity,CQ22016,12.28,2,2016,2016-06-30
+GE,GE Aerospace,Language Complexity,CQ22016,10.97,2,2016,2016-06-30
+GD,General Dynamics,Language Complexity,CQ22016,10.59,2,2016,2016-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22016,10.78,2,2016,2016-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22016,12.42,2,2016,2016-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22016,11.37,2,2016,2016-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22016,13.0,2,2016,2016-06-30
+PCAR,Paccar,Language Complexity,CQ22016,12.07,2,2016,2016-06-30
+RTX,RTX Corporation,Language Complexity,CQ22016,10.04,2,2016,2016-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22016,11.12,2,2016,2016-06-30
+ROP,Roper Technologies,Language Complexity,CQ22016,10.19,2,2016,2016-06-30
+SNA,Snap-on,Language Complexity,CQ22016,11.82,2,2016,2016-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22016,13.25,2,2016,2016-06-30
+UPS,United Parcel Service,Language Complexity,CQ22016,12.33,2,2016,2016-06-30
+WM,Waste Management,Language Complexity,CQ22016,10.38,2,2016,2016-06-30
+ACN,Accenture,Language Complexity,CQ22016,13.67,2,2016,2016-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22016,14.2,2,2016,2016-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22016,13.09,2,2016,2016-06-30
+APH,Amphenol,Language Complexity,CQ22016,12.85,2,2016,2016-06-30
+ADI,Analog Devices,Language Complexity,CQ22016,11.59,2,2016,2016-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22016,12.04,2,2016,2016-06-30
+AMAT,Applied Materials,Language Complexity,CQ22016,10.31,2,2016,2016-06-30
+ADSK,Autodesk,Language Complexity,CQ22016,11.41,2,2016,2016-06-30
+AVGO,Broadcom,Language Complexity,CQ22016,11.91,2,2016,2016-06-30
+CSCO,Cisco,Language Complexity,CQ22016,11.66,2,2016,2016-06-30
+CTSH,Cognizant,Language Complexity,CQ22016,14.44,2,2016,2016-06-30
+HPQ,HP Inc.,Language Complexity,CQ22016,12.31,2,2016,2016-06-30
+IBM,IBM,Language Complexity,CQ22016,12.65,2,2016,2016-06-30
+INTC,Intel,Language Complexity,CQ22016,11.08,2,2016,2016-06-30
+INTU,Intuit,Language Complexity,CQ22016,10.91,2,2016,2016-06-30
+LRCX,Lam Research,Language Complexity,CQ22016,13.86,2,2016,2016-06-30
+MU,Micron Technology,Language Complexity,CQ22016,12.67,2,2016,2016-06-30
+MSFT,Microsoft,Language Complexity,CQ22016,13.38,2,2016,2016-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22016,10.79,2,2016,2016-06-30
+NTAP,NetApp,Language Complexity,CQ22016,14.16,2,2016,2016-06-30
+NVDA,Nvidia,Language Complexity,CQ22016,11.79,2,2016,2016-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22016,10.08,2,2016,2016-06-30
+TXN,Texas Instruments,Language Complexity,CQ22016,10.64,2,2016,2016-06-30
+APD,Air Products,Language Complexity,CQ22016,11.39,2,2016,2016-06-30
+AVY,Avery Dennison,Language Complexity,CQ22016,12.71,2,2016,2016-06-30
+ECL,Ecolab,Language Complexity,CQ22016,10.79,2,2016,2016-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22016,12.88,2,2016,2016-06-30
+IP,International Paper,Language Complexity,CQ22016,10.8,2,2016,2016-06-30
+LIN,Linde plc,Language Complexity,CQ22016,11.66,2,2016,2016-06-30
+NEM,Newmont,Language Complexity,CQ22016,11.5,2,2016,2016-06-30
+NUE,Nucor,Language Complexity,CQ22016,12.14,2,2016,2016-06-30
+AMT,American Tower,Language Complexity,CQ22016,14.49,2,2016,2016-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22016,12.73,2,2016,2016-06-30
+EQR,Equity Residential,Language Complexity,CQ22016,11.69,2,2016,2016-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22016,11.12,2,2016,2016-06-30
+IRM,Iron Mountain,Language Complexity,CQ22016,13.61,2,2016,2016-06-30
+PLD,Prologis,Language Complexity,CQ22016,10.7,2,2016,2016-06-30
+VTR,Ventas,Language Complexity,CQ22016,12.1,2,2016,2016-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22016,12.15,2,2016,2016-06-30
+AES,AES Corporation,Language Complexity,CQ22016,11.66,2,2016,2016-06-30
+AEE,Ameren,Language Complexity,CQ22016,13.57,2,2016,2016-06-30
+AEP,American Electric Power,Language Complexity,CQ22016,11.21,2,2016,2016-06-30
+CMS,CMS Energy,Language Complexity,CQ22016,11.96,2,2016,2016-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22016,12.76,2,2016,2016-06-30
+DUK,Duke Energy,Language Complexity,CQ22016,12.94,2,2016,2016-06-30
+EIX,Edison International,Language Complexity,CQ22016,13.46,2,2016,2016-06-30
+ETR,Entergy,Language Complexity,CQ22016,13.55,2,2016,2016-06-30
+EXC,Exelon,Language Complexity,CQ22016,11.61,2,2016,2016-06-30
+NEE,NextEra Energy,Language Complexity,CQ22016,15.48,2,2016,2016-06-30
+SO,Southern Company,Language Complexity,CQ22016,11.32,2,2016,2016-06-30
+XEL,Xcel Energy,Language Complexity,CQ22016,13.06,2,2016,2016-06-30
+T,AT&T,Net Positivity,CQ32016,1.74,3,2016,2016-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32016,1.9,3,2016,2016-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32016,,3,2016,2016-09-30
+META,Meta Platforms,Net Positivity,CQ32016,1.53,3,2016,2016-09-30
+NFLX,Netflix,Net Positivity,CQ32016,0.84,3,2016,2016-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32016,1.43,3,2016,2016-09-30
+OMC,Omnicom Group,Net Positivity,CQ32016,0.49,3,2016,2016-09-30
+VZ,Verizon,Net Positivity,CQ32016,0.83,3,2016,2016-09-30
+AMZN,Amazon,Net Positivity,CQ32016,1.19,3,2016,2016-09-30
+AZO,AutoZone,Net Positivity,CQ32016,1.12,3,2016,2016-09-30
+BBY,Best Buy,Net Positivity,CQ32016,1.61,3,2016,2016-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32016,1.0,3,2016,2016-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32016,1.36,3,2016,2016-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32016,,3,2016,2016-09-30
+F,Ford Motor Company,Net Positivity,CQ32016,0.35,3,2016,2016-09-30
+GM,General Motors,Net Positivity,CQ32016,1.37,3,2016,2016-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32016,1.01,3,2016,2016-09-30
+HAS,Hasbro,Net Positivity,CQ32016,1.8,3,2016,2016-09-30
+LOW,Lowe's,Net Positivity,CQ32016,2.13,3,2016,2016-09-30
+MCD,McDonald's,Net Positivity,CQ32016,2.09,3,2016,2016-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32016,3.09,3,2016,2016-09-30
+ROST,Ross Stores,Net Positivity,CQ32016,1.37,3,2016,2016-09-30
+TJX,TJX Companies,Net Positivity,CQ32016,1.84,3,2016,2016-09-30
+TGT,Target,Net Positivity,CQ32016,1.69,3,2016,2016-09-30
+MO,Altria,Net Positivity,CQ32016,0.46,3,2016,2016-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32016,0.87,3,2016,2016-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32016,-0.28,3,2016,2016-09-30
+CLX,Clorox,Net Positivity,CQ32016,1.39,3,2016,2016-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32016,0.84,3,2016,2016-09-30
+COST,Costco,Net Positivity,CQ32016,0.96,3,2016,2016-09-30
+GIS,General Mills,Net Positivity,CQ32016,1.68,3,2016,2016-09-30
+HSY,Hershey Company,Net Positivity,CQ32016,1.37,3,2016,2016-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32016,1.32,3,2016,2016-09-30
+KR,Kroger,Net Positivity,CQ32016,0.87,3,2016,2016-09-30
+MKC,McCormick & Company,Net Positivity,CQ32016,1.21,3,2016,2016-09-30
+PEP,PepsiCo,Net Positivity,CQ32016,1.77,3,2016,2016-09-30
+PG,Procter & Gamble,Net Positivity,CQ32016,1.71,3,2016,2016-09-30
+SYY,Sysco,Net Positivity,CQ32016,1.77,3,2016,2016-09-30
+WMT,Walmart,Net Positivity,CQ32016,3.13,3,2016,2016-09-30
+APA,APA Corporation,Net Positivity,CQ32016,1.52,3,2016,2016-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32016,,3,2016,2016-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32016,1.28,3,2016,2016-09-30
+EOG,EOG Resources,Net Positivity,CQ32016,1.88,3,2016,2016-09-30
+XOM,ExxonMobil,Net Positivity,CQ32016,0.9,3,2016,2016-09-30
+HAL,Halliburton,Net Positivity,CQ32016,0.27,3,2016,2016-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32016,1.25,3,2016,2016-09-30
+SLB,Schlumberger,Net Positivity,CQ32016,0.48,3,2016,2016-09-30
+VLO,Valero Energy,Net Positivity,CQ32016,0.17,3,2016,2016-09-30
+AFL,Aflac,Net Positivity,CQ32016,0.54,3,2016,2016-09-30
+ALL,Allstate,Net Positivity,CQ32016,-0.48,3,2016,2016-09-30
+AXP,American Express,Net Positivity,CQ32016,0.75,3,2016,2016-09-30
+AIG,American International Group,Net Positivity,CQ32016,0.17,3,2016,2016-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32016,0.55,3,2016,2016-09-30
+AON,Aon plc,Net Positivity,CQ32016,1.7,3,2016,2016-09-30
+BK,BNY Mellon,Net Positivity,CQ32016,0.77,3,2016,2016-09-30
+BAC,Bank of America,Net Positivity,CQ32016,0.81,3,2016,2016-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32016,,3,2016,2016-09-30
+BLK,BlackRock,Net Positivity,CQ32016,0.51,3,2016,2016-09-30
+CME,CME Group,Net Positivity,CQ32016,1.24,3,2016,2016-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32016,,3,2016,2016-09-30
+CB,Chubb Limited,Net Positivity,CQ32016,0.62,3,2016,2016-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32016,0.93,3,2016,2016-09-30
+C,Citigroup,Net Positivity,CQ32016,0.99,3,2016,2016-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32016,1.69,3,2016,2016-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32016,1.13,3,2016,2016-09-30
+FISV,Fiserv,Net Positivity,CQ32016,1.08,3,2016,2016-09-30
+GS,Goldman Sachs,Net Positivity,CQ32016,0.05,3,2016,2016-09-30
+HIG,Hartford Financial,Net Positivity,CQ32016,-0.92,3,2016,2016-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32016,0.95,3,2016,2016-09-30
+IVZ,Invesco,Net Positivity,CQ32016,0.98,3,2016,2016-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32016,0.66,3,2016,2016-09-30
+KEY,KeyCorp,Net Positivity,CQ32016,0.68,3,2016,2016-09-30
+MA,Mastercard,Net Positivity,CQ32016,0.73,3,2016,2016-09-30
+MET,MetLife,Net Positivity,CQ32016,-0.21,3,2016,2016-09-30
+MS,Morgan Stanley,Net Positivity,CQ32016,0.92,3,2016,2016-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32016,1.22,3,2016,2016-09-30
+NTRS,Northern Trust,Net Positivity,CQ32016,0.1,3,2016,2016-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32016,0.84,3,2016,2016-09-30
+PRU,Prudential Financial,Net Positivity,CQ32016,0.41,3,2016,2016-09-30
+RF,Regions Financial,Net Positivity,CQ32016,0.38,3,2016,2016-09-30
+SPGI,S&P Global,Net Positivity,CQ32016,0.95,3,2016,2016-09-30
+STT,State Street,Net Positivity,CQ32016,1.31,3,2016,2016-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32016,,3,2016,2016-09-30
+TRV,Travelers Companies,Net Positivity,CQ32016,0.27,3,2016,2016-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32016,0.38,3,2016,2016-09-30
+V,Visa,Net Positivity,CQ32016,0.68,3,2016,2016-09-30
+WFC,Wells Fargo,Net Positivity,CQ32016,0.73,3,2016,2016-09-30
+ABBV,AbbVie,Net Positivity,CQ32016,1.87,3,2016,2016-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32016,0.66,3,2016,2016-09-30
+A,Agilent Technologies,Net Positivity,CQ32016,0.83,3,2016,2016-09-30
+AMGN,Amgen,Net Positivity,CQ32016,1.32,3,2016,2016-09-30
+BAX,Baxter International,Net Positivity,CQ32016,1.54,3,2016,2016-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32016,1.57,3,2016,2016-09-30
+BIIB,Biogen,Net Positivity,CQ32016,2.02,3,2016,2016-09-30
+BSX,Boston Scientific,Net Positivity,CQ32016,1.36,3,2016,2016-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32016,1.65,3,2016,2016-09-30
+CVS,CVS Health,Net Positivity,CQ32016,1.55,3,2016,2016-09-30
+COR,Cencora,Net Positivity,CQ32016,,3,2016,2016-09-30
+CI,Cigna,Net Positivity,CQ32016,0.56,3,2016,2016-09-30
+DVA,DaVita,Net Positivity,CQ32016,0.29,3,2016,2016-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32016,2.68,3,2016,2016-09-30
+LLY,Eli Lilly,Net Positivity,CQ32016,0.36,3,2016,2016-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32016,0.65,3,2016,2016-09-30
+HUM,Humana,Net Positivity,CQ32016,,3,2016,2016-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32016,0.97,3,2016,2016-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32016,1.86,3,2016,2016-09-30
+LH,Labcorp,Net Positivity,CQ32016,1.39,3,2016,2016-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32016,0.88,3,2016,2016-09-30
+MDT,Medtronic,Net Positivity,CQ32016,1.45,3,2016,2016-09-30
+MRK,Merck & Co.,Net Positivity,CQ32016,1.26,3,2016,2016-09-30
+PFE,Pfizer,Net Positivity,CQ32016,0.89,3,2016,2016-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32016,2.16,3,2016,2016-09-30
+WAT,Waters Corporation,Net Positivity,CQ32016,1.49,3,2016,2016-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32016,1.22,3,2016,2016-09-30
+MMM,3M,Net Positivity,CQ32016,0.82,3,2016,2016-09-30
+AME,Ametek,Net Positivity,CQ32016,1.21,3,2016,2016-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32016,0.9,3,2016,2016-09-30
+BA,Boeing,Net Positivity,CQ32016,1.15,3,2016,2016-09-30
+CSX,CSX Corporation,Net Positivity,CQ32016,0.62,3,2016,2016-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32016,-0.12,3,2016,2016-09-30
+CTAS,Cintas,Net Positivity,CQ32016,0.5,3,2016,2016-09-30
+CMI,Cummins,Net Positivity,CQ32016,-0.15,3,2016,2016-09-30
+DE,Deere & Company,Net Positivity,CQ32016,0.13,3,2016,2016-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32016,-0.09,3,2016,2016-09-30
+EMR,Emerson Electric,Net Positivity,CQ32016,0.38,3,2016,2016-09-30
+EFX,Equifax,Net Positivity,CQ32016,0.77,3,2016,2016-09-30
+EXPD,Expeditors International,Net Positivity,CQ32016,,3,2016,2016-09-30
+FDX,FedEx,Net Positivity,CQ32016,1.32,3,2016,2016-09-30
+GE,GE Aerospace,Net Positivity,CQ32016,0.79,3,2016,2016-09-30
+GD,General Dynamics,Net Positivity,CQ32016,1.04,3,2016,2016-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32016,1.15,3,2016,2016-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32016,0.79,3,2016,2016-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32016,0.91,3,2016,2016-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32016,0.74,3,2016,2016-09-30
+PCAR,Paccar,Net Positivity,CQ32016,1.63,3,2016,2016-09-30
+RTX,RTX Corporation,Net Positivity,CQ32016,0.21,3,2016,2016-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32016,0.43,3,2016,2016-09-30
+ROP,Roper Technologies,Net Positivity,CQ32016,0.62,3,2016,2016-09-30
+SNA,Snap-on,Net Positivity,CQ32016,1.29,3,2016,2016-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32016,2.22,3,2016,2016-09-30
+UPS,United Parcel Service,Net Positivity,CQ32016,1.3,3,2016,2016-09-30
+WM,Waste Management,Net Positivity,CQ32016,1.26,3,2016,2016-09-30
+ACN,Accenture,Net Positivity,CQ32016,1.4,3,2016,2016-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32016,2.3,3,2016,2016-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32016,0.55,3,2016,2016-09-30
+APH,Amphenol,Net Positivity,CQ32016,2.57,3,2016,2016-09-30
+ADI,Analog Devices,Net Positivity,CQ32016,1.39,3,2016,2016-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32016,1.68,3,2016,2016-09-30
+AMAT,Applied Materials,Net Positivity,CQ32016,2.85,3,2016,2016-09-30
+ADSK,Autodesk,Net Positivity,CQ32016,0.69,3,2016,2016-09-30
+AVGO,Broadcom,Net Positivity,CQ32016,0.88,3,2016,2016-09-30
+CSCO,Cisco,Net Positivity,CQ32016,0.81,3,2016,2016-09-30
+CTSH,Cognizant,Net Positivity,CQ32016,0.86,3,2016,2016-09-30
+HPQ,HP Inc.,Net Positivity,CQ32016,1.12,3,2016,2016-09-30
+IBM,IBM,Net Positivity,CQ32016,0.72,3,2016,2016-09-30
+INTC,Intel,Net Positivity,CQ32016,0.94,3,2016,2016-09-30
+INTU,Intuit,Net Positivity,CQ32016,1.43,3,2016,2016-09-30
+LRCX,Lam Research,Net Positivity,CQ32016,1.56,3,2016,2016-09-30
+MU,Micron Technology,Net Positivity,CQ32016,,3,2016,2016-09-30
+MSFT,Microsoft,Net Positivity,CQ32016,1.17,3,2016,2016-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32016,0.45,3,2016,2016-09-30
+NTAP,NetApp,Net Positivity,CQ32016,1.74,3,2016,2016-09-30
+NVDA,Nvidia,Net Positivity,CQ32016,1.22,3,2016,2016-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32016,1.13,3,2016,2016-09-30
+TXN,Texas Instruments,Net Positivity,CQ32016,0.78,3,2016,2016-09-30
+APD,Air Products,Net Positivity,CQ32016,1.26,3,2016,2016-09-30
+AVY,Avery Dennison,Net Positivity,CQ32016,0.85,3,2016,2016-09-30
+ECL,Ecolab,Net Positivity,CQ32016,0.82,3,2016,2016-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32016,2.1,3,2016,2016-09-30
+IP,International Paper,Net Positivity,CQ32016,1.05,3,2016,2016-09-30
+LIN,Linde plc,Net Positivity,CQ32016,1.32,3,2016,2016-09-30
+NEM,Newmont,Net Positivity,CQ32016,1.45,3,2016,2016-09-30
+NUE,Nucor,Net Positivity,CQ32016,1.59,3,2016,2016-09-30
+AMT,American Tower,Net Positivity,CQ32016,0.72,3,2016,2016-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32016,0.2,3,2016,2016-09-30
+EQR,Equity Residential,Net Positivity,CQ32016,0.22,3,2016,2016-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32016,0.72,3,2016,2016-09-30
+IRM,Iron Mountain,Net Positivity,CQ32016,-0.01,3,2016,2016-09-30
+PLD,Prologis,Net Positivity,CQ32016,0.46,3,2016,2016-09-30
+VTR,Ventas,Net Positivity,CQ32016,1.69,3,2016,2016-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32016,0.82,3,2016,2016-09-30
+AES,AES Corporation,Net Positivity,CQ32016,0.94,3,2016,2016-09-30
+AEE,Ameren,Net Positivity,CQ32016,0.96,3,2016,2016-09-30
+AEP,American Electric Power,Net Positivity,CQ32016,0.25,3,2016,2016-09-30
+CMS,CMS Energy,Net Positivity,CQ32016,1.42,3,2016,2016-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32016,0.9,3,2016,2016-09-30
+DUK,Duke Energy,Net Positivity,CQ32016,0.96,3,2016,2016-09-30
+EIX,Edison International,Net Positivity,CQ32016,0.27,3,2016,2016-09-30
+ETR,Entergy,Net Positivity,CQ32016,0.36,3,2016,2016-09-30
+EXC,Exelon,Net Positivity,CQ32016,,3,2016,2016-09-30
+NEE,NextEra Energy,Net Positivity,CQ32016,1.27,3,2016,2016-09-30
+SO,Southern Company,Net Positivity,CQ32016,0.91,3,2016,2016-09-30
+XEL,Xcel Energy,Net Positivity,CQ32016,0.81,3,2016,2016-09-30
+T,AT&T,Numeric Transeprency,CQ32016,1.78,3,2016,2016-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32016,1.78,3,2016,2016-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32016,1.79,3,2016,2016-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32016,0.95,3,2016,2016-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32016,3.14,3,2016,2016-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32016,2.8,3,2016,2016-09-30
+VZ,Verizon,Numeric Transeprency,CQ32016,2.22,3,2016,2016-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32016,1.89,3,2016,2016-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32016,2.68,3,2016,2016-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32016,1.66,3,2016,2016-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32016,1.72,3,2016,2016-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32016,2.09,3,2016,2016-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32016,1.41,3,2016,2016-09-30
+GM,General Motors,Numeric Transeprency,CQ32016,2.07,3,2016,2016-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32016,2.81,3,2016,2016-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32016,2.19,3,2016,2016-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32016,2.87,3,2016,2016-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32016,1.69,3,2016,2016-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32016,1.38,3,2016,2016-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32016,2.69,3,2016,2016-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32016,2.11,3,2016,2016-09-30
+TGT,Target,Numeric Transeprency,CQ32016,1.01,3,2016,2016-09-30
+MO,Altria,Numeric Transeprency,CQ32016,1.7,3,2016,2016-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32016,1.91,3,2016,2016-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32016,1.54,3,2016,2016-09-30
+CLX,Clorox,Numeric Transeprency,CQ32016,2.94,3,2016,2016-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32016,1.4,3,2016,2016-09-30
+COST,Costco,Numeric Transeprency,CQ32016,3.87,3,2016,2016-09-30
+GIS,General Mills,Numeric Transeprency,CQ32016,2.37,3,2016,2016-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32016,1.53,3,2016,2016-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32016,1.48,3,2016,2016-09-30
+KR,Kroger,Numeric Transeprency,CQ32016,1.64,3,2016,2016-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32016,2.47,3,2016,2016-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32016,2.26,3,2016,2016-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32016,2.33,3,2016,2016-09-30
+SYY,Sysco,Numeric Transeprency,CQ32016,1.82,3,2016,2016-09-30
+WMT,Walmart,Numeric Transeprency,CQ32016,3.11,3,2016,2016-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32016,2.8,3,2016,2016-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32016,2.43,3,2016,2016-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32016,3.01,3,2016,2016-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32016,2.34,3,2016,2016-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32016,1.58,3,2016,2016-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32016,3.5,3,2016,2016-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32016,1.5,3,2016,2016-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32016,1.87,3,2016,2016-09-30
+AFL,Aflac,Numeric Transeprency,CQ32016,1.46,3,2016,2016-09-30
+ALL,Allstate,Numeric Transeprency,CQ32016,2.65,3,2016,2016-09-30
+AXP,American Express,Numeric Transeprency,CQ32016,2.23,3,2016,2016-09-30
+AIG,American International Group,Numeric Transeprency,CQ32016,2.82,3,2016,2016-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32016,1.35,3,2016,2016-09-30
+AON,Aon plc,Numeric Transeprency,CQ32016,2.56,3,2016,2016-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32016,1.61,3,2016,2016-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32016,3.54,3,2016,2016-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32016,1.8,3,2016,2016-09-30
+CME,CME Group,Numeric Transeprency,CQ32016,3.04,3,2016,2016-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32016,2.13,3,2016,2016-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32016,2.6,3,2016,2016-09-30
+C,Citigroup,Numeric Transeprency,CQ32016,2.35,3,2016,2016-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32016,2.59,3,2016,2016-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32016,2.9,3,2016,2016-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32016,2.63,3,2016,2016-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32016,1.9,3,2016,2016-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32016,2.86,3,2016,2016-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32016,1.54,3,2016,2016-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32016,1.72,3,2016,2016-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32016,2.3,3,2016,2016-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32016,2.3,3,2016,2016-09-30
+MA,Mastercard,Numeric Transeprency,CQ32016,1.51,3,2016,2016-09-30
+MET,MetLife,Numeric Transeprency,CQ32016,3.47,3,2016,2016-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32016,2.44,3,2016,2016-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32016,2.51,3,2016,2016-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32016,3.48,3,2016,2016-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32016,2.32,3,2016,2016-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32016,2.49,3,2016,2016-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32016,2.61,3,2016,2016-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32016,2.01,3,2016,2016-09-30
+STT,State Street,Numeric Transeprency,CQ32016,2.66,3,2016,2016-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32016,2.02,3,2016,2016-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32016,2.25,3,2016,2016-09-30
+V,Visa,Numeric Transeprency,CQ32016,1.56,3,2016,2016-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32016,2.16,3,2016,2016-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32016,2.02,3,2016,2016-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32016,1.37,3,2016,2016-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32016,2.02,3,2016,2016-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32016,2.18,3,2016,2016-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32016,2.62,3,2016,2016-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32016,2.21,3,2016,2016-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32016,1.96,3,2016,2016-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32016,4.44,3,2016,2016-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32016,1.24,3,2016,2016-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32016,2.4,3,2016,2016-09-30
+COR,Cencora,Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+CI,Cigna,Numeric Transeprency,CQ32016,1.88,3,2016,2016-09-30
+DVA,DaVita,Numeric Transeprency,CQ32016,1.85,3,2016,2016-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32016,0.97,3,2016,2016-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32016,2.23,3,2016,2016-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32016,2.26,3,2016,2016-09-30
+HUM,Humana,Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32016,2.68,3,2016,2016-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32016,2.73,3,2016,2016-09-30
+LH,Labcorp,Numeric Transeprency,CQ32016,2.19,3,2016,2016-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32016,2.48,3,2016,2016-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32016,1.93,3,2016,2016-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32016,1.39,3,2016,2016-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32016,1.95,3,2016,2016-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32016,2.3,3,2016,2016-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32016,1.36,3,2016,2016-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32016,2.19,3,2016,2016-09-30
+MMM,3M,Numeric Transeprency,CQ32016,3.26,3,2016,2016-09-30
+AME,Ametek,Numeric Transeprency,CQ32016,2.3,3,2016,2016-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32016,2.9,3,2016,2016-09-30
+BA,Boeing,Numeric Transeprency,CQ32016,2.61,3,2016,2016-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32016,1.76,3,2016,2016-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32016,1.73,3,2016,2016-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32016,2.65,3,2016,2016-09-30
+CMI,Cummins,Numeric Transeprency,CQ32016,3.58,3,2016,2016-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32016,2.92,3,2016,2016-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32016,1.84,3,2016,2016-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32016,2.02,3,2016,2016-09-30
+EFX,Equifax,Numeric Transeprency,CQ32016,2.6,3,2016,2016-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+FDX,FedEx,Numeric Transeprency,CQ32016,1.77,3,2016,2016-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32016,6.1,3,2016,2016-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32016,4.56,3,2016,2016-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32016,3.37,3,2016,2016-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32016,2.41,3,2016,2016-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32016,2.04,3,2016,2016-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32016,2.19,3,2016,2016-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32016,1.93,3,2016,2016-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32016,3.47,3,2016,2016-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32016,1.91,3,2016,2016-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32016,2.89,3,2016,2016-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32016,3.51,3,2016,2016-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32016,2.33,3,2016,2016-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32016,1.95,3,2016,2016-09-30
+WM,Waste Management,Numeric Transeprency,CQ32016,3.13,3,2016,2016-09-30
+ACN,Accenture,Numeric Transeprency,CQ32016,3.22,3,2016,2016-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32016,1.75,3,2016,2016-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32016,2.82,3,2016,2016-09-30
+APH,Amphenol,Numeric Transeprency,CQ32016,2.33,3,2016,2016-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32016,1.41,3,2016,2016-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32016,2.5,3,2016,2016-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32016,2.51,3,2016,2016-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32016,1.22,3,2016,2016-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32016,2.49,3,2016,2016-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32016,2.52,3,2016,2016-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32016,2.1,3,2016,2016-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32016,2.31,3,2016,2016-09-30
+IBM,IBM,Numeric Transeprency,CQ32016,1.59,3,2016,2016-09-30
+INTC,Intel,Numeric Transeprency,CQ32016,1.55,3,2016,2016-09-30
+INTU,Intuit,Numeric Transeprency,CQ32016,2.49,3,2016,2016-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32016,1.87,3,2016,2016-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32016,2.75,3,2016,2016-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32016,3.08,3,2016,2016-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32016,1.43,3,2016,2016-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32016,1.35,3,2016,2016-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32016,2.15,3,2016,2016-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32016,2.16,3,2016,2016-09-30
+APD,Air Products,Numeric Transeprency,CQ32016,3.39,3,2016,2016-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32016,1.5,3,2016,2016-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32016,1.53,3,2016,2016-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32016,2.2,3,2016,2016-09-30
+IP,International Paper,Numeric Transeprency,CQ32016,1.48,3,2016,2016-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32016,1.63,3,2016,2016-09-30
+NEM,Newmont,Numeric Transeprency,CQ32016,2.68,3,2016,2016-09-30
+NUE,Nucor,Numeric Transeprency,CQ32016,1.18,3,2016,2016-09-30
+AMT,American Tower,Numeric Transeprency,CQ32016,2.74,3,2016,2016-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32016,2.44,3,2016,2016-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32016,3.09,3,2016,2016-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32016,2.16,3,2016,2016-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32016,3.43,3,2016,2016-09-30
+PLD,Prologis,Numeric Transeprency,CQ32016,2.73,3,2016,2016-09-30
+VTR,Ventas,Numeric Transeprency,CQ32016,1.85,3,2016,2016-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32016,2.68,3,2016,2016-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32016,3.3,3,2016,2016-09-30
+AEE,Ameren,Numeric Transeprency,CQ32016,2.48,3,2016,2016-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32016,2.01,3,2016,2016-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32016,2.16,3,2016,2016-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32016,3.62,3,2016,2016-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32016,2.34,3,2016,2016-09-30
+EIX,Edison International,Numeric Transeprency,CQ32016,2.38,3,2016,2016-09-30
+ETR,Entergy,Numeric Transeprency,CQ32016,2.1,3,2016,2016-09-30
+EXC,Exelon,Numeric Transeprency,CQ32016,,3,2016,2016-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32016,3.1,3,2016,2016-09-30
+SO,Southern Company,Numeric Transeprency,CQ32016,2.29,3,2016,2016-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32016,1.94,3,2016,2016-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32016,28.13,3,2016,2016-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32016,26.09,3,2016,2016-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32016,26.67,3,2016,2016-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32016,4.88,3,2016,2016-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32016,54.55,3,2016,2016-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32016,25.81,3,2016,2016-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32016,30.77,3,2016,2016-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32016,33.33,3,2016,2016-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32016,42.86,3,2016,2016-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32016,41.38,3,2016,2016-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32016,12.9,3,2016,2016-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32016,38.1,3,2016,2016-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32016,75.0,3,2016,2016-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32016,66.67,3,2016,2016-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32016,26.47,3,2016,2016-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32016,36.67,3,2016,2016-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32016,13.16,3,2016,2016-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32016,32.35,3,2016,2016-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32016,25.71,3,2016,2016-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32016,22.58,3,2016,2016-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32016,45.45,3,2016,2016-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32016,42.86,3,2016,2016-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32016,44.44,3,2016,2016-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32016,47.06,3,2016,2016-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32016,32.0,3,2016,2016-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32016,34.48,3,2016,2016-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32016,31.82,3,2016,2016-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32016,64.71,3,2016,2016-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32016,60.0,3,2016,2016-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32016,29.41,3,2016,2016-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32016,41.67,3,2016,2016-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32016,28.0,3,2016,2016-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32016,48.0,3,2016,2016-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32016,56.25,3,2016,2016-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32016,0.0,3,2016,2016-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32016,22.22,3,2016,2016-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32016,24.24,3,2016,2016-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32016,24.32,3,2016,2016-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32016,48.0,3,2016,2016-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32016,17.95,3,2016,2016-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32016,20.0,3,2016,2016-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32016,19.51,3,2016,2016-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32016,55.0,3,2016,2016-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32016,42.86,3,2016,2016-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32016,30.43,3,2016,2016-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32016,32.14,3,2016,2016-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32016,65.0,3,2016,2016-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32016,70.0,3,2016,2016-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32016,26.32,3,2016,2016-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32016,57.89,3,2016,2016-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32016,32.26,3,2016,2016-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32016,44.44,3,2016,2016-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32016,41.18,3,2016,2016-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32016,45.0,3,2016,2016-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32016,33.33,3,2016,2016-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32016,46.43,3,2016,2016-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32016,27.78,3,2016,2016-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32016,25.81,3,2016,2016-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32016,42.11,3,2016,2016-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32016,51.85,3,2016,2016-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32016,31.25,3,2016,2016-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32016,33.33,3,2016,2016-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32016,64.71,3,2016,2016-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32016,51.61,3,2016,2016-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32016,40.74,3,2016,2016-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32016,32.35,3,2016,2016-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32016,57.14,3,2016,2016-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32016,36.0,3,2016,2016-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32016,66.67,3,2016,2016-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32016,61.11,3,2016,2016-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32016,15.15,3,2016,2016-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32016,60.0,3,2016,2016-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32016,37.93,3,2016,2016-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32016,57.14,3,2016,2016-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32016,57.89,3,2016,2016-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32016,33.33,3,2016,2016-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32016,32.26,3,2016,2016-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32016,35.29,3,2016,2016-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32016,39.39,3,2016,2016-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32016,38.1,3,2016,2016-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32016,18.18,3,2016,2016-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32016,78.57,3,2016,2016-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32016,47.62,3,2016,2016-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32016,62.5,3,2016,2016-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32016,61.11,3,2016,2016-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32016,30.43,3,2016,2016-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32016,25.93,3,2016,2016-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32016,56.52,3,2016,2016-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32016,46.15,3,2016,2016-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32016,60.87,3,2016,2016-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32016,41.67,3,2016,2016-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32016,41.67,3,2016,2016-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32016,57.89,3,2016,2016-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32016,25.93,3,2016,2016-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32016,60.87,3,2016,2016-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32016,61.9,3,2016,2016-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32016,64.71,3,2016,2016-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32016,66.67,3,2016,2016-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32016,18.52,3,2016,2016-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32016,63.16,3,2016,2016-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32016,40.0,3,2016,2016-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32016,26.32,3,2016,2016-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32016,45.45,3,2016,2016-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32016,67.86,3,2016,2016-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32016,37.5,3,2016,2016-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32016,47.06,3,2016,2016-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32016,26.09,3,2016,2016-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32016,59.09,3,2016,2016-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32016,46.43,3,2016,2016-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32016,48.0,3,2016,2016-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32016,39.29,3,2016,2016-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32016,42.86,3,2016,2016-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32016,70.59,3,2016,2016-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32016,71.43,3,2016,2016-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32016,68.75,3,2016,2016-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32016,60.71,3,2016,2016-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32016,76.47,3,2016,2016-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32016,69.57,3,2016,2016-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32016,61.9,3,2016,2016-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32016,45.83,3,2016,2016-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32016,42.86,3,2016,2016-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32016,47.37,3,2016,2016-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32016,53.85,3,2016,2016-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32016,53.33,3,2016,2016-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32016,24.14,3,2016,2016-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32016,40.74,3,2016,2016-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32016,38.46,3,2016,2016-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32016,75.0,3,2016,2016-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32016,67.86,3,2016,2016-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32016,13.64,3,2016,2016-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32016,70.83,3,2016,2016-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32016,56.52,3,2016,2016-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32016,34.62,3,2016,2016-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32016,31.43,3,2016,2016-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32016,31.25,3,2016,2016-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32016,52.38,3,2016,2016-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32016,40.0,3,2016,2016-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32016,29.27,3,2016,2016-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32016,61.9,3,2016,2016-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32016,32.35,3,2016,2016-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32016,34.21,3,2016,2016-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32016,54.55,3,2016,2016-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32016,17.39,3,2016,2016-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32016,36.36,3,2016,2016-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32016,80.0,3,2016,2016-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32016,63.64,3,2016,2016-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32016,36.36,3,2016,2016-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32016,63.16,3,2016,2016-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32016,33.33,3,2016,2016-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32016,47.06,3,2016,2016-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32016,61.11,3,2016,2016-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32016,46.67,3,2016,2016-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32016,62.5,3,2016,2016-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32016,14.29,3,2016,2016-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32016,55.56,3,2016,2016-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32016,50.0,3,2016,2016-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32016,45.45,3,2016,2016-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32016,25.0,3,2016,2016-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32016,45.45,3,2016,2016-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32016,46.15,3,2016,2016-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32016,33.33,3,2016,2016-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32016,25.0,3,2016,2016-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32016,33.33,3,2016,2016-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32016,42.86,3,2016,2016-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32016,40.91,3,2016,2016-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32016,38.89,3,2016,2016-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32016,36.84,3,2016,2016-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32016,,3,2016,2016-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32016,35.0,3,2016,2016-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32016,77.78,3,2016,2016-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32016,26.67,3,2016,2016-09-30
+T,AT&T,Language Complexity,CQ32016,11.59,3,2016,2016-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32016,12.04,3,2016,2016-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32016,,3,2016,2016-09-30
+META,Meta Platforms,Language Complexity,CQ32016,12.28,3,2016,2016-09-30
+NFLX,Netflix,Language Complexity,CQ32016,10.63,3,2016,2016-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32016,14.58,3,2016,2016-09-30
+OMC,Omnicom Group,Language Complexity,CQ32016,13.26,3,2016,2016-09-30
+VZ,Verizon,Language Complexity,CQ32016,12.95,3,2016,2016-09-30
+AMZN,Amazon,Language Complexity,CQ32016,12.38,3,2016,2016-09-30
+AZO,AutoZone,Language Complexity,CQ32016,12.59,3,2016,2016-09-30
+BBY,Best Buy,Language Complexity,CQ32016,13.98,3,2016,2016-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32016,13.69,3,2016,2016-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32016,14.12,3,2016,2016-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32016,,3,2016,2016-09-30
+F,Ford Motor Company,Language Complexity,CQ32016,10.33,3,2016,2016-09-30
+GM,General Motors,Language Complexity,CQ32016,12.46,3,2016,2016-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32016,12.46,3,2016,2016-09-30
+HAS,Hasbro,Language Complexity,CQ32016,11.77,3,2016,2016-09-30
+LOW,Lowe's,Language Complexity,CQ32016,12.4,3,2016,2016-09-30
+MCD,McDonald's,Language Complexity,CQ32016,13.26,3,2016,2016-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32016,13.57,3,2016,2016-09-30
+ROST,Ross Stores,Language Complexity,CQ32016,11.07,3,2016,2016-09-30
+TJX,TJX Companies,Language Complexity,CQ32016,11.52,3,2016,2016-09-30
+TGT,Target,Language Complexity,CQ32016,13.71,3,2016,2016-09-30
+MO,Altria,Language Complexity,CQ32016,12.09,3,2016,2016-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32016,12.37,3,2016,2016-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32016,10.12,3,2016,2016-09-30
+CLX,Clorox,Language Complexity,CQ32016,12.04,3,2016,2016-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32016,13.42,3,2016,2016-09-30
+COST,Costco,Language Complexity,CQ32016,10.28,3,2016,2016-09-30
+GIS,General Mills,Language Complexity,CQ32016,12.58,3,2016,2016-09-30
+HSY,Hershey Company,Language Complexity,CQ32016,12.67,3,2016,2016-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32016,10.7,3,2016,2016-09-30
+KR,Kroger,Language Complexity,CQ32016,12.15,3,2016,2016-09-30
+MKC,McCormick & Company,Language Complexity,CQ32016,12.3,3,2016,2016-09-30
+PEP,PepsiCo,Language Complexity,CQ32016,13.91,3,2016,2016-09-30
+PG,Procter & Gamble,Language Complexity,CQ32016,13.26,3,2016,2016-09-30
+SYY,Sysco,Language Complexity,CQ32016,12.62,3,2016,2016-09-30
+WMT,Walmart,Language Complexity,CQ32016,14.46,3,2016,2016-09-30
+APA,APA Corporation,Language Complexity,CQ32016,12.61,3,2016,2016-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32016,,3,2016,2016-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32016,11.56,3,2016,2016-09-30
+EOG,EOG Resources,Language Complexity,CQ32016,12.12,3,2016,2016-09-30
+XOM,ExxonMobil,Language Complexity,CQ32016,11.64,3,2016,2016-09-30
+HAL,Halliburton,Language Complexity,CQ32016,12.83,3,2016,2016-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32016,13.38,3,2016,2016-09-30
+SLB,Schlumberger,Language Complexity,CQ32016,14.71,3,2016,2016-09-30
+VLO,Valero Energy,Language Complexity,CQ32016,11.0,3,2016,2016-09-30
+AFL,Aflac,Language Complexity,CQ32016,12.27,3,2016,2016-09-30
+ALL,Allstate,Language Complexity,CQ32016,12.36,3,2016,2016-09-30
+AXP,American Express,Language Complexity,CQ32016,13.66,3,2016,2016-09-30
+AIG,American International Group,Language Complexity,CQ32016,15.05,3,2016,2016-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32016,13.45,3,2016,2016-09-30
+AON,Aon plc,Language Complexity,CQ32016,13.82,3,2016,2016-09-30
+BK,BNY Mellon,Language Complexity,CQ32016,12.38,3,2016,2016-09-30
+BAC,Bank of America,Language Complexity,CQ32016,11.46,3,2016,2016-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32016,,3,2016,2016-09-30
+BLK,BlackRock,Language Complexity,CQ32016,14.16,3,2016,2016-09-30
+CME,CME Group,Language Complexity,CQ32016,12.15,3,2016,2016-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32016,,3,2016,2016-09-30
+CB,Chubb Limited,Language Complexity,CQ32016,11.4,3,2016,2016-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32016,13.25,3,2016,2016-09-30
+C,Citigroup,Language Complexity,CQ32016,11.74,3,2016,2016-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32016,11.86,3,2016,2016-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32016,12.5,3,2016,2016-09-30
+FISV,Fiserv,Language Complexity,CQ32016,12.63,3,2016,2016-09-30
+GS,Goldman Sachs,Language Complexity,CQ32016,10.97,3,2016,2016-09-30
+HIG,Hartford Financial,Language Complexity,CQ32016,12.69,3,2016,2016-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32016,13.58,3,2016,2016-09-30
+IVZ,Invesco,Language Complexity,CQ32016,11.48,3,2016,2016-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32016,11.23,3,2016,2016-09-30
+KEY,KeyCorp,Language Complexity,CQ32016,12.49,3,2016,2016-09-30
+MA,Mastercard,Language Complexity,CQ32016,11.99,3,2016,2016-09-30
+MET,MetLife,Language Complexity,CQ32016,13.44,3,2016,2016-09-30
+MS,Morgan Stanley,Language Complexity,CQ32016,10.29,3,2016,2016-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32016,12.55,3,2016,2016-09-30
+NTRS,Northern Trust,Language Complexity,CQ32016,12.16,3,2016,2016-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32016,12.23,3,2016,2016-09-30
+PRU,Prudential Financial,Language Complexity,CQ32016,13.46,3,2016,2016-09-30
+RF,Regions Financial,Language Complexity,CQ32016,12.27,3,2016,2016-09-30
+SPGI,S&P Global,Language Complexity,CQ32016,12.27,3,2016,2016-09-30
+STT,State Street,Language Complexity,CQ32016,12.86,3,2016,2016-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32016,,3,2016,2016-09-30
+TRV,Travelers Companies,Language Complexity,CQ32016,12.52,3,2016,2016-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32016,11.35,3,2016,2016-09-30
+V,Visa,Language Complexity,CQ32016,12.72,3,2016,2016-09-30
+WFC,Wells Fargo,Language Complexity,CQ32016,12.08,3,2016,2016-09-30
+ABBV,AbbVie,Language Complexity,CQ32016,13.29,3,2016,2016-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32016,11.18,3,2016,2016-09-30
+A,Agilent Technologies,Language Complexity,CQ32016,11.26,3,2016,2016-09-30
+AMGN,Amgen,Language Complexity,CQ32016,12.32,3,2016,2016-09-30
+BAX,Baxter International,Language Complexity,CQ32016,11.97,3,2016,2016-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32016,11.58,3,2016,2016-09-30
+BIIB,Biogen,Language Complexity,CQ32016,12.62,3,2016,2016-09-30
+BSX,Boston Scientific,Language Complexity,CQ32016,12.62,3,2016,2016-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32016,12.67,3,2016,2016-09-30
+CVS,CVS Health,Language Complexity,CQ32016,13.05,3,2016,2016-09-30
+COR,Cencora,Language Complexity,CQ32016,,3,2016,2016-09-30
+CI,Cigna,Language Complexity,CQ32016,12.82,3,2016,2016-09-30
+DVA,DaVita,Language Complexity,CQ32016,10.86,3,2016,2016-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32016,12.7,3,2016,2016-09-30
+LLY,Eli Lilly,Language Complexity,CQ32016,12.01,3,2016,2016-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32016,12.27,3,2016,2016-09-30
+HUM,Humana,Language Complexity,CQ32016,,3,2016,2016-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32016,11.79,3,2016,2016-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32016,13.05,3,2016,2016-09-30
+LH,Labcorp,Language Complexity,CQ32016,13.71,3,2016,2016-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32016,14.39,3,2016,2016-09-30
+MDT,Medtronic,Language Complexity,CQ32016,14.09,3,2016,2016-09-30
+MRK,Merck & Co.,Language Complexity,CQ32016,12.56,3,2016,2016-09-30
+PFE,Pfizer,Language Complexity,CQ32016,12.6,3,2016,2016-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32016,12.9,3,2016,2016-09-30
+WAT,Waters Corporation,Language Complexity,CQ32016,13.22,3,2016,2016-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32016,14.77,3,2016,2016-09-30
+MMM,3M,Language Complexity,CQ32016,11.27,3,2016,2016-09-30
+AME,Ametek,Language Complexity,CQ32016,11.01,3,2016,2016-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32016,14.05,3,2016,2016-09-30
+BA,Boeing,Language Complexity,CQ32016,12.15,3,2016,2016-09-30
+CSX,CSX Corporation,Language Complexity,CQ32016,11.84,3,2016,2016-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32016,9.48,3,2016,2016-09-30
+CTAS,Cintas,Language Complexity,CQ32016,11.89,3,2016,2016-09-30
+CMI,Cummins,Language Complexity,CQ32016,12.92,3,2016,2016-09-30
+DE,Deere & Company,Language Complexity,CQ32016,11.25,3,2016,2016-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32016,11.24,3,2016,2016-09-30
+EMR,Emerson Electric,Language Complexity,CQ32016,11.4,3,2016,2016-09-30
+EFX,Equifax,Language Complexity,CQ32016,11.9,3,2016,2016-09-30
+EXPD,Expeditors International,Language Complexity,CQ32016,,3,2016,2016-09-30
+FDX,FedEx,Language Complexity,CQ32016,12.8,3,2016,2016-09-30
+GE,GE Aerospace,Language Complexity,CQ32016,11.38,3,2016,2016-09-30
+GD,General Dynamics,Language Complexity,CQ32016,10.71,3,2016,2016-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32016,11.87,3,2016,2016-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32016,13.07,3,2016,2016-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32016,11.01,3,2016,2016-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32016,11.95,3,2016,2016-09-30
+PCAR,Paccar,Language Complexity,CQ32016,11.01,3,2016,2016-09-30
+RTX,RTX Corporation,Language Complexity,CQ32016,10.44,3,2016,2016-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32016,10.99,3,2016,2016-09-30
+ROP,Roper Technologies,Language Complexity,CQ32016,11.33,3,2016,2016-09-30
+SNA,Snap-on,Language Complexity,CQ32016,11.73,3,2016,2016-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32016,13.58,3,2016,2016-09-30
+UPS,United Parcel Service,Language Complexity,CQ32016,11.62,3,2016,2016-09-30
+WM,Waste Management,Language Complexity,CQ32016,11.03,3,2016,2016-09-30
+ACN,Accenture,Language Complexity,CQ32016,13.45,3,2016,2016-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32016,14.42,3,2016,2016-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32016,12.39,3,2016,2016-09-30
+APH,Amphenol,Language Complexity,CQ32016,12.81,3,2016,2016-09-30
+ADI,Analog Devices,Language Complexity,CQ32016,11.99,3,2016,2016-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32016,12.03,3,2016,2016-09-30
+AMAT,Applied Materials,Language Complexity,CQ32016,10.65,3,2016,2016-09-30
+ADSK,Autodesk,Language Complexity,CQ32016,11.81,3,2016,2016-09-30
+AVGO,Broadcom,Language Complexity,CQ32016,11.15,3,2016,2016-09-30
+CSCO,Cisco,Language Complexity,CQ32016,12.66,3,2016,2016-09-30
+CTSH,Cognizant,Language Complexity,CQ32016,13.95,3,2016,2016-09-30
+HPQ,HP Inc.,Language Complexity,CQ32016,11.93,3,2016,2016-09-30
+IBM,IBM,Language Complexity,CQ32016,13.54,3,2016,2016-09-30
+INTC,Intel,Language Complexity,CQ32016,10.58,3,2016,2016-09-30
+INTU,Intuit,Language Complexity,CQ32016,10.69,3,2016,2016-09-30
+LRCX,Lam Research,Language Complexity,CQ32016,13.45,3,2016,2016-09-30
+MU,Micron Technology,Language Complexity,CQ32016,,3,2016,2016-09-30
+MSFT,Microsoft,Language Complexity,CQ32016,13.54,3,2016,2016-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32016,11.62,3,2016,2016-09-30
+NTAP,NetApp,Language Complexity,CQ32016,12.78,3,2016,2016-09-30
+NVDA,Nvidia,Language Complexity,CQ32016,11.86,3,2016,2016-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32016,10.54,3,2016,2016-09-30
+TXN,Texas Instruments,Language Complexity,CQ32016,10.39,3,2016,2016-09-30
+APD,Air Products,Language Complexity,CQ32016,11.96,3,2016,2016-09-30
+AVY,Avery Dennison,Language Complexity,CQ32016,11.21,3,2016,2016-09-30
+ECL,Ecolab,Language Complexity,CQ32016,10.85,3,2016,2016-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32016,12.83,3,2016,2016-09-30
+IP,International Paper,Language Complexity,CQ32016,10.87,3,2016,2016-09-30
+LIN,Linde plc,Language Complexity,CQ32016,11.29,3,2016,2016-09-30
+NEM,Newmont,Language Complexity,CQ32016,11.81,3,2016,2016-09-30
+NUE,Nucor,Language Complexity,CQ32016,10.78,3,2016,2016-09-30
+AMT,American Tower,Language Complexity,CQ32016,14.33,3,2016,2016-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32016,11.79,3,2016,2016-09-30
+EQR,Equity Residential,Language Complexity,CQ32016,11.63,3,2016,2016-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32016,11.84,3,2016,2016-09-30
+IRM,Iron Mountain,Language Complexity,CQ32016,13.43,3,2016,2016-09-30
+PLD,Prologis,Language Complexity,CQ32016,11.18,3,2016,2016-09-30
+VTR,Ventas,Language Complexity,CQ32016,12.4,3,2016,2016-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32016,11.69,3,2016,2016-09-30
+AES,AES Corporation,Language Complexity,CQ32016,12.64,3,2016,2016-09-30
+AEE,Ameren,Language Complexity,CQ32016,14.57,3,2016,2016-09-30
+AEP,American Electric Power,Language Complexity,CQ32016,13.27,3,2016,2016-09-30
+CMS,CMS Energy,Language Complexity,CQ32016,11.4,3,2016,2016-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32016,12.4,3,2016,2016-09-30
+DUK,Duke Energy,Language Complexity,CQ32016,12.73,3,2016,2016-09-30
+EIX,Edison International,Language Complexity,CQ32016,12.62,3,2016,2016-09-30
+ETR,Entergy,Language Complexity,CQ32016,13.65,3,2016,2016-09-30
+EXC,Exelon,Language Complexity,CQ32016,,3,2016,2016-09-30
+NEE,NextEra Energy,Language Complexity,CQ32016,13.78,3,2016,2016-09-30
+SO,Southern Company,Language Complexity,CQ32016,10.74,3,2016,2016-09-30
+XEL,Xcel Energy,Language Complexity,CQ32016,11.32,3,2016,2016-09-30
+T,AT&T,Net Positivity,CQ42016,1.81,4,2016,2016-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42016,1.95,4,2016,2016-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42016,,4,2016,2016-12-31
+META,Meta Platforms,Net Positivity,CQ42016,1.46,4,2016,2016-12-31
+NFLX,Netflix,Net Positivity,CQ42016,1.05,4,2016,2016-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42016,0.91,4,2016,2016-12-31
+OMC,Omnicom Group,Net Positivity,CQ42016,1.62,4,2016,2016-12-31
+VZ,Verizon,Net Positivity,CQ42016,0.62,4,2016,2016-12-31
+AMZN,Amazon,Net Positivity,CQ42016,0.98,4,2016,2016-12-31
+AZO,AutoZone,Net Positivity,CQ42016,0.82,4,2016,2016-12-31
+BBY,Best Buy,Net Positivity,CQ42016,1.41,4,2016,2016-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42016,1.37,4,2016,2016-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42016,1.53,4,2016,2016-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42016,1.02,4,2016,2016-12-31
+F,Ford Motor Company,Net Positivity,CQ42016,0.73,4,2016,2016-12-31
+GM,General Motors,Net Positivity,CQ42016,1.22,4,2016,2016-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42016,0.76,4,2016,2016-12-31
+HAS,Hasbro,Net Positivity,CQ42016,1.94,4,2016,2016-12-31
+LOW,Lowe's,Net Positivity,CQ42016,1.69,4,2016,2016-12-31
+MCD,McDonald's,Net Positivity,CQ42016,2.1,4,2016,2016-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42016,2.55,4,2016,2016-12-31
+ROST,Ross Stores,Net Positivity,CQ42016,1.46,4,2016,2016-12-31
+TJX,TJX Companies,Net Positivity,CQ42016,1.19,4,2016,2016-12-31
+TGT,Target,Net Positivity,CQ42016,2.52,4,2016,2016-12-31
+MO,Altria,Net Positivity,CQ42016,0.57,4,2016,2016-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42016,1.54,4,2016,2016-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42016,0.09,4,2016,2016-12-31
+CLX,Clorox,Net Positivity,CQ42016,1.58,4,2016,2016-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42016,1.62,4,2016,2016-12-31
+COST,Costco,Net Positivity,CQ42016,0.95,4,2016,2016-12-31
+GIS,General Mills,Net Positivity,CQ42016,0.99,4,2016,2016-12-31
+HSY,Hershey Company,Net Positivity,CQ42016,1.6,4,2016,2016-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42016,0.9,4,2016,2016-12-31
+KR,Kroger,Net Positivity,CQ42016,0.36,4,2016,2016-12-31
+MKC,McCormick & Company,Net Positivity,CQ42016,,4,2016,2016-12-31
+PEP,PepsiCo,Net Positivity,CQ42016,,4,2016,2016-12-31
+PG,Procter & Gamble,Net Positivity,CQ42016,1.27,4,2016,2016-12-31
+SYY,Sysco,Net Positivity,CQ42016,1.38,4,2016,2016-12-31
+WMT,Walmart,Net Positivity,CQ42016,2.83,4,2016,2016-12-31
+APA,APA Corporation,Net Positivity,CQ42016,0.92,4,2016,2016-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42016,,4,2016,2016-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42016,0.77,4,2016,2016-12-31
+EOG,EOG Resources,Net Positivity,CQ42016,1.61,4,2016,2016-12-31
+XOM,ExxonMobil,Net Positivity,CQ42016,0.84,4,2016,2016-12-31
+HAL,Halliburton,Net Positivity,CQ42016,0.88,4,2016,2016-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42016,1.27,4,2016,2016-12-31
+SLB,Schlumberger,Net Positivity,CQ42016,0.97,4,2016,2016-12-31
+VLO,Valero Energy,Net Positivity,CQ42016,0.4,4,2016,2016-12-31
+AFL,Aflac,Net Positivity,CQ42016,1.08,4,2016,2016-12-31
+ALL,Allstate,Net Positivity,CQ42016,-0.6,4,2016,2016-12-31
+AXP,American Express,Net Positivity,CQ42016,1.36,4,2016,2016-12-31
+AIG,American International Group,Net Positivity,CQ42016,-0.22,4,2016,2016-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42016,0.98,4,2016,2016-12-31
+AON,Aon plc,Net Positivity,CQ42016,2.32,4,2016,2016-12-31
+BK,BNY Mellon,Net Positivity,CQ42016,1.61,4,2016,2016-12-31
+BAC,Bank of America,Net Positivity,CQ42016,0.88,4,2016,2016-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42016,,4,2016,2016-12-31
+BLK,BlackRock,Net Positivity,CQ42016,0.95,4,2016,2016-12-31
+CME,CME Group,Net Positivity,CQ42016,0.73,4,2016,2016-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42016,,4,2016,2016-12-31
+CB,Chubb Limited,Net Positivity,CQ42016,0.39,4,2016,2016-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42016,0.79,4,2016,2016-12-31
+C,Citigroup,Net Positivity,CQ42016,0.86,4,2016,2016-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42016,1.53,4,2016,2016-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42016,0.94,4,2016,2016-12-31
+FISV,Fiserv,Net Positivity,CQ42016,0.77,4,2016,2016-12-31
+GS,Goldman Sachs,Net Positivity,CQ42016,0.72,4,2016,2016-12-31
+HIG,Hartford Financial,Net Positivity,CQ42016,1.02,4,2016,2016-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42016,0.58,4,2016,2016-12-31
+IVZ,Invesco,Net Positivity,CQ42016,0.63,4,2016,2016-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42016,0.88,4,2016,2016-12-31
+KEY,KeyCorp,Net Positivity,CQ42016,0.47,4,2016,2016-12-31
+MA,Mastercard,Net Positivity,CQ42016,0.67,4,2016,2016-12-31
+MET,MetLife,Net Positivity,CQ42016,0.36,4,2016,2016-12-31
+MS,Morgan Stanley,Net Positivity,CQ42016,0.75,4,2016,2016-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42016,1.76,4,2016,2016-12-31
+NTRS,Northern Trust,Net Positivity,CQ42016,0.14,4,2016,2016-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42016,0.52,4,2016,2016-12-31
+PRU,Prudential Financial,Net Positivity,CQ42016,1.17,4,2016,2016-12-31
+RF,Regions Financial,Net Positivity,CQ42016,0.64,4,2016,2016-12-31
+SPGI,S&P Global,Net Positivity,CQ42016,0.79,4,2016,2016-12-31
+STT,State Street,Net Positivity,CQ42016,1.19,4,2016,2016-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42016,,4,2016,2016-12-31
+TRV,Travelers Companies,Net Positivity,CQ42016,-0.44,4,2016,2016-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42016,1.1,4,2016,2016-12-31
+V,Visa,Net Positivity,CQ42016,0.85,4,2016,2016-12-31
+WFC,Wells Fargo,Net Positivity,CQ42016,0.11,4,2016,2016-12-31
+ABBV,AbbVie,Net Positivity,CQ42016,1.11,4,2016,2016-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42016,1.18,4,2016,2016-12-31
+A,Agilent Technologies,Net Positivity,CQ42016,1.25,4,2016,2016-12-31
+AMGN,Amgen,Net Positivity,CQ42016,0.96,4,2016,2016-12-31
+BAX,Baxter International,Net Positivity,CQ42016,1.48,4,2016,2016-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42016,1.52,4,2016,2016-12-31
+BIIB,Biogen,Net Positivity,CQ42016,1.65,4,2016,2016-12-31
+BSX,Boston Scientific,Net Positivity,CQ42016,1.62,4,2016,2016-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42016,1.15,4,2016,2016-12-31
+CVS,CVS Health,Net Positivity,CQ42016,0.91,4,2016,2016-12-31
+COR,Cencora,Net Positivity,CQ42016,,4,2016,2016-12-31
+CI,Cigna,Net Positivity,CQ42016,1.28,4,2016,2016-12-31
+DVA,DaVita,Net Positivity,CQ42016,-0.2,4,2016,2016-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42016,2.11,4,2016,2016-12-31
+LLY,Eli Lilly,Net Positivity,CQ42016,0.75,4,2016,2016-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42016,0.88,4,2016,2016-12-31
+HUM,Humana,Net Positivity,CQ42016,,4,2016,2016-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42016,0.56,4,2016,2016-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42016,1.54,4,2016,2016-12-31
+LH,Labcorp,Net Positivity,CQ42016,1.11,4,2016,2016-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42016,0.45,4,2016,2016-12-31
+MDT,Medtronic,Net Positivity,CQ42016,0.61,4,2016,2016-12-31
+MRK,Merck & Co.,Net Positivity,CQ42016,0.98,4,2016,2016-12-31
+PFE,Pfizer,Net Positivity,CQ42016,0.75,4,2016,2016-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42016,,4,2016,2016-12-31
+WAT,Waters Corporation,Net Positivity,CQ42016,0.87,4,2016,2016-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42016,1.0,4,2016,2016-12-31
+MMM,3M,Net Positivity,CQ42016,0.64,4,2016,2016-12-31
+AME,Ametek,Net Positivity,CQ42016,1.0,4,2016,2016-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42016,1.38,4,2016,2016-12-31
+BA,Boeing,Net Positivity,CQ42016,1.65,4,2016,2016-12-31
+CSX,CSX Corporation,Net Positivity,CQ42016,0.98,4,2016,2016-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42016,-0.1,4,2016,2016-12-31
+CTAS,Cintas,Net Positivity,CQ42016,0.75,4,2016,2016-12-31
+CMI,Cummins,Net Positivity,CQ42016,-0.14,4,2016,2016-12-31
+DE,Deere & Company,Net Positivity,CQ42016,0.52,4,2016,2016-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42016,-0.33,4,2016,2016-12-31
+EMR,Emerson Electric,Net Positivity,CQ42016,0.16,4,2016,2016-12-31
+EFX,Equifax,Net Positivity,CQ42016,1.03,4,2016,2016-12-31
+EXPD,Expeditors International,Net Positivity,CQ42016,,4,2016,2016-12-31
+FDX,FedEx,Net Positivity,CQ42016,0.87,4,2016,2016-12-31
+GE,GE Aerospace,Net Positivity,CQ42016,0.57,4,2016,2016-12-31
+GD,General Dynamics,Net Positivity,CQ42016,0.74,4,2016,2016-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42016,0.82,4,2016,2016-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42016,0.85,4,2016,2016-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42016,0.61,4,2016,2016-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42016,0.6,4,2016,2016-12-31
+PCAR,Paccar,Net Positivity,CQ42016,1.38,4,2016,2016-12-31
+RTX,RTX Corporation,Net Positivity,CQ42016,0.32,4,2016,2016-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42016,0.62,4,2016,2016-12-31
+ROP,Roper Technologies,Net Positivity,CQ42016,0.93,4,2016,2016-12-31
+SNA,Snap-on,Net Positivity,CQ42016,1.69,4,2016,2016-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42016,1.83,4,2016,2016-12-31
+UPS,United Parcel Service,Net Positivity,CQ42016,1.65,4,2016,2016-12-31
+WM,Waste Management,Net Positivity,CQ42016,0.91,4,2016,2016-12-31
+ACN,Accenture,Net Positivity,CQ42016,1.49,4,2016,2016-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42016,2.79,4,2016,2016-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42016,0.54,4,2016,2016-12-31
+APH,Amphenol,Net Positivity,CQ42016,2.29,4,2016,2016-12-31
+ADI,Analog Devices,Net Positivity,CQ42016,1.19,4,2016,2016-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42016,1.68,4,2016,2016-12-31
+AMAT,Applied Materials,Net Positivity,CQ42016,2.01,4,2016,2016-12-31
+ADSK,Autodesk,Net Positivity,CQ42016,0.49,4,2016,2016-12-31
+AVGO,Broadcom,Net Positivity,CQ42016,0.86,4,2016,2016-12-31
+CSCO,Cisco,Net Positivity,CQ42016,1.11,4,2016,2016-12-31
+CTSH,Cognizant,Net Positivity,CQ42016,-0.16,4,2016,2016-12-31
+HPQ,HP Inc.,Net Positivity,CQ42016,1.56,4,2016,2016-12-31
+IBM,IBM,Net Positivity,CQ42016,1.2,4,2016,2016-12-31
+INTC,Intel,Net Positivity,CQ42016,0.88,4,2016,2016-12-31
+INTU,Intuit,Net Positivity,CQ42016,1.21,4,2016,2016-12-31
+LRCX,Lam Research,Net Positivity,CQ42016,1.41,4,2016,2016-12-31
+MU,Micron Technology,Net Positivity,CQ42016,1.65,4,2016,2016-12-31
+MSFT,Microsoft,Net Positivity,CQ42016,1.13,4,2016,2016-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42016,0.76,4,2016,2016-12-31
+NTAP,NetApp,Net Positivity,CQ42016,1.71,4,2016,2016-12-31
+NVDA,Nvidia,Net Positivity,CQ42016,1.22,4,2016,2016-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42016,0.74,4,2016,2016-12-31
+TXN,Texas Instruments,Net Positivity,CQ42016,1.27,4,2016,2016-12-31
+APD,Air Products,Net Positivity,CQ42016,1.45,4,2016,2016-12-31
+AVY,Avery Dennison,Net Positivity,CQ42016,0.46,4,2016,2016-12-31
+ECL,Ecolab,Net Positivity,CQ42016,1.0,4,2016,2016-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42016,1.52,4,2016,2016-12-31
+IP,International Paper,Net Positivity,CQ42016,0.61,4,2016,2016-12-31
+LIN,Linde plc,Net Positivity,CQ42016,0.53,4,2016,2016-12-31
+NEM,Newmont,Net Positivity,CQ42016,1.41,4,2016,2016-12-31
+NUE,Nucor,Net Positivity,CQ42016,1.03,4,2016,2016-12-31
+AMT,American Tower,Net Positivity,CQ42016,1.04,4,2016,2016-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42016,-0.04,4,2016,2016-12-31
+EQR,Equity Residential,Net Positivity,CQ42016,0.71,4,2016,2016-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42016,0.94,4,2016,2016-12-31
+IRM,Iron Mountain,Net Positivity,CQ42016,0.52,4,2016,2016-12-31
+PLD,Prologis,Net Positivity,CQ42016,0.76,4,2016,2016-12-31
+VTR,Ventas,Net Positivity,CQ42016,2.99,4,2016,2016-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42016,0.8,4,2016,2016-12-31
+AES,AES Corporation,Net Positivity,CQ42016,1.01,4,2016,2016-12-31
+AEE,Ameren,Net Positivity,CQ42016,1.26,4,2016,2016-12-31
+AEP,American Electric Power,Net Positivity,CQ42016,,4,2016,2016-12-31
+CMS,CMS Energy,Net Positivity,CQ42016,1.07,4,2016,2016-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42016,1.28,4,2016,2016-12-31
+DUK,Duke Energy,Net Positivity,CQ42016,0.86,4,2016,2016-12-31
+EIX,Edison International,Net Positivity,CQ42016,0.54,4,2016,2016-12-31
+ETR,Entergy,Net Positivity,CQ42016,0.32,4,2016,2016-12-31
+EXC,Exelon,Net Positivity,CQ42016,0.65,4,2016,2016-12-31
+NEE,NextEra Energy,Net Positivity,CQ42016,1.39,4,2016,2016-12-31
+SO,Southern Company,Net Positivity,CQ42016,,4,2016,2016-12-31
+XEL,Xcel Energy,Net Positivity,CQ42016,0.94,4,2016,2016-12-31
+T,AT&T,Numeric Transeprency,CQ42016,1.21,4,2016,2016-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42016,1.52,4,2016,2016-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42016,1.76,4,2016,2016-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42016,1.16,4,2016,2016-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42016,2.59,4,2016,2016-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42016,3.26,4,2016,2016-12-31
+VZ,Verizon,Numeric Transeprency,CQ42016,2.56,4,2016,2016-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42016,0.96,4,2016,2016-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42016,2.58,4,2016,2016-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42016,1.53,4,2016,2016-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42016,1.45,4,2016,2016-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42016,2.26,4,2016,2016-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42016,1.64,4,2016,2016-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42016,1.97,4,2016,2016-12-31
+GM,General Motors,Numeric Transeprency,CQ42016,2.76,4,2016,2016-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42016,2.95,4,2016,2016-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42016,2.01,4,2016,2016-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42016,2.18,4,2016,2016-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42016,1.72,4,2016,2016-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42016,1.32,4,2016,2016-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42016,2.43,4,2016,2016-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42016,2.14,4,2016,2016-12-31
+TGT,Target,Numeric Transeprency,CQ42016,1.43,4,2016,2016-12-31
+MO,Altria,Numeric Transeprency,CQ42016,2.21,4,2016,2016-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42016,2.18,4,2016,2016-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42016,1.71,4,2016,2016-12-31
+CLX,Clorox,Numeric Transeprency,CQ42016,1.71,4,2016,2016-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42016,1.66,4,2016,2016-12-31
+COST,Costco,Numeric Transeprency,CQ42016,3.28,4,2016,2016-12-31
+GIS,General Mills,Numeric Transeprency,CQ42016,2.19,4,2016,2016-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42016,1.53,4,2016,2016-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42016,1.56,4,2016,2016-12-31
+KR,Kroger,Numeric Transeprency,CQ42016,2.33,4,2016,2016-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42016,2.54,4,2016,2016-12-31
+SYY,Sysco,Numeric Transeprency,CQ42016,1.32,4,2016,2016-12-31
+WMT,Walmart,Numeric Transeprency,CQ42016,2.99,4,2016,2016-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42016,3.04,4,2016,2016-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42016,3.37,4,2016,2016-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42016,3.15,4,2016,2016-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42016,2.01,4,2016,2016-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42016,0.92,4,2016,2016-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42016,3.83,4,2016,2016-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42016,2.15,4,2016,2016-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42016,2.1,4,2016,2016-12-31
+AFL,Aflac,Numeric Transeprency,CQ42016,1.65,4,2016,2016-12-31
+ALL,Allstate,Numeric Transeprency,CQ42016,2.45,4,2016,2016-12-31
+AXP,American Express,Numeric Transeprency,CQ42016,1.54,4,2016,2016-12-31
+AIG,American International Group,Numeric Transeprency,CQ42016,2.68,4,2016,2016-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42016,1.41,4,2016,2016-12-31
+AON,Aon plc,Numeric Transeprency,CQ42016,2.68,4,2016,2016-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42016,1.91,4,2016,2016-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42016,2.61,4,2016,2016-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42016,1.54,4,2016,2016-12-31
+CME,CME Group,Numeric Transeprency,CQ42016,2.34,4,2016,2016-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42016,1.75,4,2016,2016-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42016,2.09,4,2016,2016-12-31
+C,Citigroup,Numeric Transeprency,CQ42016,2.4,4,2016,2016-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42016,2.82,4,2016,2016-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42016,2.92,4,2016,2016-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42016,2.32,4,2016,2016-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42016,1.9,4,2016,2016-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42016,3.08,4,2016,2016-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42016,1.99,4,2016,2016-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42016,1.56,4,2016,2016-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42016,2.34,4,2016,2016-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42016,3.33,4,2016,2016-12-31
+MA,Mastercard,Numeric Transeprency,CQ42016,1.31,4,2016,2016-12-31
+MET,MetLife,Numeric Transeprency,CQ42016,3.71,4,2016,2016-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42016,2.68,4,2016,2016-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42016,1.96,4,2016,2016-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42016,3.79,4,2016,2016-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42016,2.63,4,2016,2016-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42016,2.49,4,2016,2016-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42016,2.63,4,2016,2016-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42016,2.49,4,2016,2016-12-31
+STT,State Street,Numeric Transeprency,CQ42016,2.45,4,2016,2016-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42016,2.0,4,2016,2016-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42016,2.37,4,2016,2016-12-31
+V,Visa,Numeric Transeprency,CQ42016,2.32,4,2016,2016-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42016,1.8,4,2016,2016-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42016,2.43,4,2016,2016-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42016,1.33,4,2016,2016-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42016,2.81,4,2016,2016-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42016,1.46,4,2016,2016-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42016,2.63,4,2016,2016-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42016,2.65,4,2016,2016-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42016,1.95,4,2016,2016-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42016,3.47,4,2016,2016-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42016,1.75,4,2016,2016-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42016,1.78,4,2016,2016-12-31
+COR,Cencora,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+CI,Cigna,Numeric Transeprency,CQ42016,2.64,4,2016,2016-12-31
+DVA,DaVita,Numeric Transeprency,CQ42016,2.33,4,2016,2016-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42016,1.29,4,2016,2016-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42016,2.07,4,2016,2016-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42016,2.39,4,2016,2016-12-31
+HUM,Humana,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42016,2.86,4,2016,2016-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42016,3.66,4,2016,2016-12-31
+LH,Labcorp,Numeric Transeprency,CQ42016,2.54,4,2016,2016-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42016,2.12,4,2016,2016-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42016,1.74,4,2016,2016-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42016,2.09,4,2016,2016-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42016,2.18,4,2016,2016-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42016,1.57,4,2016,2016-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42016,2.11,4,2016,2016-12-31
+MMM,3M,Numeric Transeprency,CQ42016,3.23,4,2016,2016-12-31
+AME,Ametek,Numeric Transeprency,CQ42016,2.6,4,2016,2016-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42016,1.82,4,2016,2016-12-31
+BA,Boeing,Numeric Transeprency,CQ42016,2.86,4,2016,2016-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42016,1.49,4,2016,2016-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42016,1.71,4,2016,2016-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42016,2.81,4,2016,2016-12-31
+CMI,Cummins,Numeric Transeprency,CQ42016,3.08,4,2016,2016-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42016,3.84,4,2016,2016-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42016,2.11,4,2016,2016-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42016,2.63,4,2016,2016-12-31
+EFX,Equifax,Numeric Transeprency,CQ42016,3.2,4,2016,2016-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+FDX,FedEx,Numeric Transeprency,CQ42016,1.88,4,2016,2016-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42016,6.57,4,2016,2016-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42016,4.14,4,2016,2016-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42016,3.05,4,2016,2016-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42016,3.28,4,2016,2016-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42016,2.37,4,2016,2016-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42016,1.76,4,2016,2016-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42016,2.9,4,2016,2016-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42016,3.07,4,2016,2016-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42016,3.35,4,2016,2016-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42016,2.89,4,2016,2016-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42016,3.36,4,2016,2016-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42016,2.48,4,2016,2016-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42016,2.04,4,2016,2016-12-31
+WM,Waste Management,Numeric Transeprency,CQ42016,3.39,4,2016,2016-12-31
+ACN,Accenture,Numeric Transeprency,CQ42016,2.43,4,2016,2016-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42016,3.13,4,2016,2016-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42016,2.33,4,2016,2016-12-31
+APH,Amphenol,Numeric Transeprency,CQ42016,2.16,4,2016,2016-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42016,1.76,4,2016,2016-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42016,2.89,4,2016,2016-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42016,3.58,4,2016,2016-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42016,1.86,4,2016,2016-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42016,2.22,4,2016,2016-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42016,1.81,4,2016,2016-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42016,2.26,4,2016,2016-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42016,2.31,4,2016,2016-12-31
+IBM,IBM,Numeric Transeprency,CQ42016,1.9,4,2016,2016-12-31
+INTC,Intel,Numeric Transeprency,CQ42016,1.72,4,2016,2016-12-31
+INTU,Intuit,Numeric Transeprency,CQ42016,2.02,4,2016,2016-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42016,3.07,4,2016,2016-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42016,2.14,4,2016,2016-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42016,2.89,4,2016,2016-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42016,3.54,4,2016,2016-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42016,1.78,4,2016,2016-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42016,1.75,4,2016,2016-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42016,2.63,4,2016,2016-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42016,2.09,4,2016,2016-12-31
+APD,Air Products,Numeric Transeprency,CQ42016,3.54,4,2016,2016-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42016,1.59,4,2016,2016-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42016,1.43,4,2016,2016-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42016,1.91,4,2016,2016-12-31
+IP,International Paper,Numeric Transeprency,CQ42016,1.42,4,2016,2016-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42016,1.48,4,2016,2016-12-31
+NEM,Newmont,Numeric Transeprency,CQ42016,2.84,4,2016,2016-12-31
+NUE,Nucor,Numeric Transeprency,CQ42016,1.26,4,2016,2016-12-31
+AMT,American Tower,Numeric Transeprency,CQ42016,2.88,4,2016,2016-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42016,2.07,4,2016,2016-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42016,3.01,4,2016,2016-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42016,3.12,4,2016,2016-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42016,2.57,4,2016,2016-12-31
+PLD,Prologis,Numeric Transeprency,CQ42016,2.71,4,2016,2016-12-31
+VTR,Ventas,Numeric Transeprency,CQ42016,1.69,4,2016,2016-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42016,2.21,4,2016,2016-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42016,3.22,4,2016,2016-12-31
+AEE,Ameren,Numeric Transeprency,CQ42016,3.93,4,2016,2016-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42016,1.77,4,2016,2016-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42016,3.23,4,2016,2016-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42016,3.26,4,2016,2016-12-31
+EIX,Edison International,Numeric Transeprency,CQ42016,2.17,4,2016,2016-12-31
+ETR,Entergy,Numeric Transeprency,CQ42016,1.81,4,2016,2016-12-31
+EXC,Exelon,Numeric Transeprency,CQ42016,2.42,4,2016,2016-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42016,3.98,4,2016,2016-12-31
+SO,Southern Company,Numeric Transeprency,CQ42016,,4,2016,2016-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42016,2.35,4,2016,2016-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42016,32.14,4,2016,2016-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42016,24.44,4,2016,2016-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42016,27.91,4,2016,2016-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42016,4.55,4,2016,2016-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42016,21.43,4,2016,2016-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42016,29.41,4,2016,2016-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42016,31.03,4,2016,2016-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42016,27.91,4,2016,2016-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42016,29.63,4,2016,2016-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42016,42.86,4,2016,2016-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42016,46.15,4,2016,2016-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42016,25.0,4,2016,2016-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42016,58.06,4,2016,2016-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42016,36.0,4,2016,2016-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42016,29.17,4,2016,2016-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42016,69.23,4,2016,2016-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42016,90.91,4,2016,2016-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42016,24.24,4,2016,2016-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42016,34.38,4,2016,2016-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42016,11.63,4,2016,2016-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42016,43.75,4,2016,2016-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42016,27.03,4,2016,2016-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42016,29.03,4,2016,2016-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42016,61.54,4,2016,2016-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42016,23.08,4,2016,2016-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42016,36.84,4,2016,2016-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42016,41.18,4,2016,2016-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42016,40.0,4,2016,2016-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42016,37.5,4,2016,2016-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42016,42.86,4,2016,2016-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42016,57.89,4,2016,2016-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42016,66.67,4,2016,2016-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42016,23.53,4,2016,2016-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42016,53.85,4,2016,2016-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42016,52.94,4,2016,2016-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42016,0.0,4,2016,2016-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42016,18.18,4,2016,2016-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42016,11.43,4,2016,2016-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42016,17.95,4,2016,2016-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42016,50.0,4,2016,2016-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42016,27.03,4,2016,2016-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42016,23.08,4,2016,2016-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42016,19.51,4,2016,2016-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42016,59.09,4,2016,2016-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42016,46.67,4,2016,2016-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42016,36.36,4,2016,2016-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42016,37.93,4,2016,2016-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42016,47.37,4,2016,2016-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42016,60.0,4,2016,2016-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42016,30.0,4,2016,2016-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42016,50.0,4,2016,2016-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42016,45.16,4,2016,2016-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42016,50.0,4,2016,2016-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42016,58.82,4,2016,2016-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42016,40.0,4,2016,2016-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42016,33.33,4,2016,2016-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42016,44.44,4,2016,2016-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42016,38.1,4,2016,2016-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42016,33.33,4,2016,2016-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42016,40.91,4,2016,2016-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42016,59.26,4,2016,2016-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42016,37.5,4,2016,2016-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42016,35.29,4,2016,2016-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42016,52.94,4,2016,2016-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42016,32.26,4,2016,2016-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42016,42.86,4,2016,2016-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42016,38.24,4,2016,2016-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42016,50.0,4,2016,2016-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42016,40.0,4,2016,2016-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42016,68.75,4,2016,2016-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42016,58.82,4,2016,2016-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42016,16.67,4,2016,2016-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42016,37.5,4,2016,2016-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42016,51.72,4,2016,2016-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42016,50.0,4,2016,2016-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42016,66.67,4,2016,2016-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42016,47.83,4,2016,2016-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42016,24.14,4,2016,2016-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42016,38.24,4,2016,2016-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42016,48.39,4,2016,2016-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42016,34.78,4,2016,2016-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42016,25.0,4,2016,2016-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42016,57.14,4,2016,2016-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42016,60.87,4,2016,2016-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42016,41.18,4,2016,2016-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42016,72.22,4,2016,2016-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42016,43.48,4,2016,2016-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42016,33.33,4,2016,2016-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42016,50.0,4,2016,2016-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42016,52.0,4,2016,2016-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42016,50.0,4,2016,2016-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42016,53.33,4,2016,2016-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42016,35.0,4,2016,2016-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42016,56.52,4,2016,2016-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42016,48.0,4,2016,2016-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42016,42.11,4,2016,2016-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42016,28.0,4,2016,2016-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42016,55.56,4,2016,2016-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42016,40.0,4,2016,2016-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42016,33.33,4,2016,2016-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42016,52.17,4,2016,2016-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42016,83.33,4,2016,2016-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42016,55.56,4,2016,2016-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42016,38.46,4,2016,2016-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42016,61.11,4,2016,2016-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42016,37.5,4,2016,2016-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42016,38.1,4,2016,2016-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42016,41.67,4,2016,2016-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42016,53.57,4,2016,2016-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42016,28.0,4,2016,2016-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42016,64.71,4,2016,2016-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42016,32.0,4,2016,2016-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42016,68.18,4,2016,2016-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42016,40.74,4,2016,2016-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42016,38.46,4,2016,2016-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42016,87.5,4,2016,2016-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42016,34.38,4,2016,2016-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42016,52.63,4,2016,2016-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42016,55.56,4,2016,2016-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42016,60.0,4,2016,2016-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42016,75.0,4,2016,2016-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42016,50.0,4,2016,2016-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42016,47.37,4,2016,2016-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42016,62.5,4,2016,2016-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42016,40.91,4,2016,2016-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42016,32.0,4,2016,2016-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42016,28.57,4,2016,2016-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42016,75.0,4,2016,2016-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42016,55.56,4,2016,2016-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42016,52.17,4,2016,2016-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42016,66.67,4,2016,2016-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42016,29.03,4,2016,2016-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42016,34.48,4,2016,2016-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42016,65.22,4,2016,2016-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42016,83.33,4,2016,2016-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42016,75.0,4,2016,2016-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42016,18.18,4,2016,2016-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42016,65.22,4,2016,2016-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42016,43.48,4,2016,2016-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42016,22.58,4,2016,2016-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42016,31.43,4,2016,2016-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42016,33.33,4,2016,2016-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42016,50.0,4,2016,2016-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42016,41.67,4,2016,2016-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42016,24.39,4,2016,2016-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42016,52.38,4,2016,2016-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42016,66.67,4,2016,2016-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42016,50.0,4,2016,2016-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42016,34.29,4,2016,2016-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42016,61.11,4,2016,2016-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42016,33.33,4,2016,2016-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42016,29.73,4,2016,2016-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42016,17.78,4,2016,2016-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42016,36.36,4,2016,2016-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42016,63.16,4,2016,2016-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42016,77.78,4,2016,2016-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42016,65.22,4,2016,2016-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42016,46.15,4,2016,2016-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42016,63.16,4,2016,2016-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42016,64.29,4,2016,2016-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42016,22.22,4,2016,2016-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42016,38.89,4,2016,2016-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42016,53.33,4,2016,2016-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42016,45.45,4,2016,2016-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42016,12.5,4,2016,2016-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42016,62.5,4,2016,2016-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42016,83.33,4,2016,2016-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42016,37.5,4,2016,2016-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42016,28.57,4,2016,2016-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42016,76.92,4,2016,2016-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42016,38.46,4,2016,2016-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42016,0.0,4,2016,2016-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42016,40.0,4,2016,2016-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42016,20.0,4,2016,2016-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42016,4.55,4,2016,2016-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42016,42.11,4,2016,2016-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42016,35.0,4,2016,2016-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42016,30.0,4,2016,2016-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42016,15.0,4,2016,2016-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42016,,4,2016,2016-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42016,60.0,4,2016,2016-12-31
+T,AT&T,Language Complexity,CQ42016,12.05,4,2016,2016-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42016,12.88,4,2016,2016-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42016,,4,2016,2016-12-31
+META,Meta Platforms,Language Complexity,CQ42016,12.28,4,2016,2016-12-31
+NFLX,Netflix,Language Complexity,CQ42016,11.22,4,2016,2016-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42016,14.92,4,2016,2016-12-31
+OMC,Omnicom Group,Language Complexity,CQ42016,12.74,4,2016,2016-12-31
+VZ,Verizon,Language Complexity,CQ42016,11.7,4,2016,2016-12-31
+AMZN,Amazon,Language Complexity,CQ42016,12.02,4,2016,2016-12-31
+AZO,AutoZone,Language Complexity,CQ42016,12.59,4,2016,2016-12-31
+BBY,Best Buy,Language Complexity,CQ42016,13.17,4,2016,2016-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42016,13.74,4,2016,2016-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42016,14.94,4,2016,2016-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42016,10.81,4,2016,2016-12-31
+F,Ford Motor Company,Language Complexity,CQ42016,10.12,4,2016,2016-12-31
+GM,General Motors,Language Complexity,CQ42016,13.14,4,2016,2016-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42016,12.59,4,2016,2016-12-31
+HAS,Hasbro,Language Complexity,CQ42016,11.47,4,2016,2016-12-31
+LOW,Lowe's,Language Complexity,CQ42016,13.64,4,2016,2016-12-31
+MCD,McDonald's,Language Complexity,CQ42016,13.29,4,2016,2016-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42016,13.6,4,2016,2016-12-31
+ROST,Ross Stores,Language Complexity,CQ42016,11.18,4,2016,2016-12-31
+TJX,TJX Companies,Language Complexity,CQ42016,11.29,4,2016,2016-12-31
+TGT,Target,Language Complexity,CQ42016,13.89,4,2016,2016-12-31
+MO,Altria,Language Complexity,CQ42016,12.11,4,2016,2016-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42016,12.22,4,2016,2016-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42016,13.47,4,2016,2016-12-31
+CLX,Clorox,Language Complexity,CQ42016,13.22,4,2016,2016-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42016,12.98,4,2016,2016-12-31
+COST,Costco,Language Complexity,CQ42016,10.58,4,2016,2016-12-31
+GIS,General Mills,Language Complexity,CQ42016,12.02,4,2016,2016-12-31
+HSY,Hershey Company,Language Complexity,CQ42016,11.98,4,2016,2016-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42016,10.66,4,2016,2016-12-31
+KR,Kroger,Language Complexity,CQ42016,10.86,4,2016,2016-12-31
+MKC,McCormick & Company,Language Complexity,CQ42016,,4,2016,2016-12-31
+PEP,PepsiCo,Language Complexity,CQ42016,,4,2016,2016-12-31
+PG,Procter & Gamble,Language Complexity,CQ42016,11.97,4,2016,2016-12-31
+SYY,Sysco,Language Complexity,CQ42016,12.7,4,2016,2016-12-31
+WMT,Walmart,Language Complexity,CQ42016,15.53,4,2016,2016-12-31
+APA,APA Corporation,Language Complexity,CQ42016,13.58,4,2016,2016-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42016,,4,2016,2016-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42016,12.82,4,2016,2016-12-31
+EOG,EOG Resources,Language Complexity,CQ42016,12.19,4,2016,2016-12-31
+XOM,ExxonMobil,Language Complexity,CQ42016,12.04,4,2016,2016-12-31
+HAL,Halliburton,Language Complexity,CQ42016,12.26,4,2016,2016-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42016,14.38,4,2016,2016-12-31
+SLB,Schlumberger,Language Complexity,CQ42016,14.59,4,2016,2016-12-31
+VLO,Valero Energy,Language Complexity,CQ42016,10.63,4,2016,2016-12-31
+AFL,Aflac,Language Complexity,CQ42016,11.97,4,2016,2016-12-31
+ALL,Allstate,Language Complexity,CQ42016,12.19,4,2016,2016-12-31
+AXP,American Express,Language Complexity,CQ42016,13.9,4,2016,2016-12-31
+AIG,American International Group,Language Complexity,CQ42016,14.89,4,2016,2016-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42016,14.11,4,2016,2016-12-31
+AON,Aon plc,Language Complexity,CQ42016,13.16,4,2016,2016-12-31
+BK,BNY Mellon,Language Complexity,CQ42016,12.86,4,2016,2016-12-31
+BAC,Bank of America,Language Complexity,CQ42016,11.74,4,2016,2016-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42016,,4,2016,2016-12-31
+BLK,BlackRock,Language Complexity,CQ42016,14.59,4,2016,2016-12-31
+CME,CME Group,Language Complexity,CQ42016,11.89,4,2016,2016-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42016,,4,2016,2016-12-31
+CB,Chubb Limited,Language Complexity,CQ42016,11.56,4,2016,2016-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42016,12.64,4,2016,2016-12-31
+C,Citigroup,Language Complexity,CQ42016,12.46,4,2016,2016-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42016,12.11,4,2016,2016-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42016,13.41,4,2016,2016-12-31
+FISV,Fiserv,Language Complexity,CQ42016,12.42,4,2016,2016-12-31
+GS,Goldman Sachs,Language Complexity,CQ42016,11.49,4,2016,2016-12-31
+HIG,Hartford Financial,Language Complexity,CQ42016,12.91,4,2016,2016-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42016,12.49,4,2016,2016-12-31
+IVZ,Invesco,Language Complexity,CQ42016,11.4,4,2016,2016-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42016,12.86,4,2016,2016-12-31
+KEY,KeyCorp,Language Complexity,CQ42016,12.77,4,2016,2016-12-31
+MA,Mastercard,Language Complexity,CQ42016,12.21,4,2016,2016-12-31
+MET,MetLife,Language Complexity,CQ42016,12.03,4,2016,2016-12-31
+MS,Morgan Stanley,Language Complexity,CQ42016,11.21,4,2016,2016-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42016,13.32,4,2016,2016-12-31
+NTRS,Northern Trust,Language Complexity,CQ42016,12.21,4,2016,2016-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42016,11.87,4,2016,2016-12-31
+PRU,Prudential Financial,Language Complexity,CQ42016,13.92,4,2016,2016-12-31
+RF,Regions Financial,Language Complexity,CQ42016,12.21,4,2016,2016-12-31
+SPGI,S&P Global,Language Complexity,CQ42016,12.21,4,2016,2016-12-31
+STT,State Street,Language Complexity,CQ42016,12.62,4,2016,2016-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42016,,4,2016,2016-12-31
+TRV,Travelers Companies,Language Complexity,CQ42016,12.2,4,2016,2016-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42016,11.26,4,2016,2016-12-31
+V,Visa,Language Complexity,CQ42016,11.61,4,2016,2016-12-31
+WFC,Wells Fargo,Language Complexity,CQ42016,12.33,4,2016,2016-12-31
+ABBV,AbbVie,Language Complexity,CQ42016,12.94,4,2016,2016-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42016,11.23,4,2016,2016-12-31
+A,Agilent Technologies,Language Complexity,CQ42016,11.4,4,2016,2016-12-31
+AMGN,Amgen,Language Complexity,CQ42016,13.67,4,2016,2016-12-31
+BAX,Baxter International,Language Complexity,CQ42016,12.4,4,2016,2016-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42016,11.53,4,2016,2016-12-31
+BIIB,Biogen,Language Complexity,CQ42016,12.94,4,2016,2016-12-31
+BSX,Boston Scientific,Language Complexity,CQ42016,12.43,4,2016,2016-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42016,12.68,4,2016,2016-12-31
+CVS,CVS Health,Language Complexity,CQ42016,12.79,4,2016,2016-12-31
+COR,Cencora,Language Complexity,CQ42016,,4,2016,2016-12-31
+CI,Cigna,Language Complexity,CQ42016,13.91,4,2016,2016-12-31
+DVA,DaVita,Language Complexity,CQ42016,11.18,4,2016,2016-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42016,13.36,4,2016,2016-12-31
+LLY,Eli Lilly,Language Complexity,CQ42016,11.7,4,2016,2016-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42016,12.21,4,2016,2016-12-31
+HUM,Humana,Language Complexity,CQ42016,,4,2016,2016-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42016,12.8,4,2016,2016-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42016,14.82,4,2016,2016-12-31
+LH,Labcorp,Language Complexity,CQ42016,13.13,4,2016,2016-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42016,15.08,4,2016,2016-12-31
+MDT,Medtronic,Language Complexity,CQ42016,12.62,4,2016,2016-12-31
+MRK,Merck & Co.,Language Complexity,CQ42016,12.29,4,2016,2016-12-31
+PFE,Pfizer,Language Complexity,CQ42016,13.34,4,2016,2016-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42016,,4,2016,2016-12-31
+WAT,Waters Corporation,Language Complexity,CQ42016,13.56,4,2016,2016-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42016,13.48,4,2016,2016-12-31
+MMM,3M,Language Complexity,CQ42016,10.7,4,2016,2016-12-31
+AME,Ametek,Language Complexity,CQ42016,11.79,4,2016,2016-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42016,12.99,4,2016,2016-12-31
+BA,Boeing,Language Complexity,CQ42016,12.37,4,2016,2016-12-31
+CSX,CSX Corporation,Language Complexity,CQ42016,12.08,4,2016,2016-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42016,9.98,4,2016,2016-12-31
+CTAS,Cintas,Language Complexity,CQ42016,11.42,4,2016,2016-12-31
+CMI,Cummins,Language Complexity,CQ42016,11.52,4,2016,2016-12-31
+DE,Deere & Company,Language Complexity,CQ42016,11.82,4,2016,2016-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42016,11.23,4,2016,2016-12-31
+EMR,Emerson Electric,Language Complexity,CQ42016,10.47,4,2016,2016-12-31
+EFX,Equifax,Language Complexity,CQ42016,11.8,4,2016,2016-12-31
+EXPD,Expeditors International,Language Complexity,CQ42016,,4,2016,2016-12-31
+FDX,FedEx,Language Complexity,CQ42016,11.54,4,2016,2016-12-31
+GE,GE Aerospace,Language Complexity,CQ42016,10.18,4,2016,2016-12-31
+GD,General Dynamics,Language Complexity,CQ42016,10.77,4,2016,2016-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42016,10.98,4,2016,2016-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42016,13.09,4,2016,2016-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42016,11.48,4,2016,2016-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42016,12.31,4,2016,2016-12-31
+PCAR,Paccar,Language Complexity,CQ42016,10.69,4,2016,2016-12-31
+RTX,RTX Corporation,Language Complexity,CQ42016,10.94,4,2016,2016-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42016,11.61,4,2016,2016-12-31
+ROP,Roper Technologies,Language Complexity,CQ42016,10.77,4,2016,2016-12-31
+SNA,Snap-on,Language Complexity,CQ42016,11.61,4,2016,2016-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42016,13.53,4,2016,2016-12-31
+UPS,United Parcel Service,Language Complexity,CQ42016,11.85,4,2016,2016-12-31
+WM,Waste Management,Language Complexity,CQ42016,10.73,4,2016,2016-12-31
+ACN,Accenture,Language Complexity,CQ42016,13.26,4,2016,2016-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42016,14.69,4,2016,2016-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42016,12.32,4,2016,2016-12-31
+APH,Amphenol,Language Complexity,CQ42016,13.84,4,2016,2016-12-31
+ADI,Analog Devices,Language Complexity,CQ42016,12.19,4,2016,2016-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42016,11.87,4,2016,2016-12-31
+AMAT,Applied Materials,Language Complexity,CQ42016,11.43,4,2016,2016-12-31
+ADSK,Autodesk,Language Complexity,CQ42016,11.69,4,2016,2016-12-31
+AVGO,Broadcom,Language Complexity,CQ42016,12.16,4,2016,2016-12-31
+CSCO,Cisco,Language Complexity,CQ42016,12.71,4,2016,2016-12-31
+CTSH,Cognizant,Language Complexity,CQ42016,14.94,4,2016,2016-12-31
+HPQ,HP Inc.,Language Complexity,CQ42016,12.83,4,2016,2016-12-31
+IBM,IBM,Language Complexity,CQ42016,12.56,4,2016,2016-12-31
+INTC,Intel,Language Complexity,CQ42016,10.72,4,2016,2016-12-31
+INTU,Intuit,Language Complexity,CQ42016,10.61,4,2016,2016-12-31
+LRCX,Lam Research,Language Complexity,CQ42016,13.3,4,2016,2016-12-31
+MU,Micron Technology,Language Complexity,CQ42016,12.7,4,2016,2016-12-31
+MSFT,Microsoft,Language Complexity,CQ42016,13.84,4,2016,2016-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42016,10.87,4,2016,2016-12-31
+NTAP,NetApp,Language Complexity,CQ42016,13.56,4,2016,2016-12-31
+NVDA,Nvidia,Language Complexity,CQ42016,12.03,4,2016,2016-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42016,11.14,4,2016,2016-12-31
+TXN,Texas Instruments,Language Complexity,CQ42016,10.71,4,2016,2016-12-31
+APD,Air Products,Language Complexity,CQ42016,11.74,4,2016,2016-12-31
+AVY,Avery Dennison,Language Complexity,CQ42016,11.7,4,2016,2016-12-31
+ECL,Ecolab,Language Complexity,CQ42016,11.48,4,2016,2016-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42016,13.58,4,2016,2016-12-31
+IP,International Paper,Language Complexity,CQ42016,11.65,4,2016,2016-12-31
+LIN,Linde plc,Language Complexity,CQ42016,10.8,4,2016,2016-12-31
+NEM,Newmont,Language Complexity,CQ42016,11.64,4,2016,2016-12-31
+NUE,Nucor,Language Complexity,CQ42016,12.08,4,2016,2016-12-31
+AMT,American Tower,Language Complexity,CQ42016,12.93,4,2016,2016-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42016,11.79,4,2016,2016-12-31
+EQR,Equity Residential,Language Complexity,CQ42016,11.83,4,2016,2016-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42016,11.13,4,2016,2016-12-31
+IRM,Iron Mountain,Language Complexity,CQ42016,13.2,4,2016,2016-12-31
+PLD,Prologis,Language Complexity,CQ42016,10.37,4,2016,2016-12-31
+VTR,Ventas,Language Complexity,CQ42016,12.56,4,2016,2016-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42016,11.81,4,2016,2016-12-31
+AES,AES Corporation,Language Complexity,CQ42016,11.75,4,2016,2016-12-31
+AEE,Ameren,Language Complexity,CQ42016,17.74,4,2016,2016-12-31
+AEP,American Electric Power,Language Complexity,CQ42016,,4,2016,2016-12-31
+CMS,CMS Energy,Language Complexity,CQ42016,12.09,4,2016,2016-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42016,13.11,4,2016,2016-12-31
+DUK,Duke Energy,Language Complexity,CQ42016,14.65,4,2016,2016-12-31
+EIX,Edison International,Language Complexity,CQ42016,12.8,4,2016,2016-12-31
+ETR,Entergy,Language Complexity,CQ42016,14.29,4,2016,2016-12-31
+EXC,Exelon,Language Complexity,CQ42016,12.57,4,2016,2016-12-31
+NEE,NextEra Energy,Language Complexity,CQ42016,15.55,4,2016,2016-12-31
+SO,Southern Company,Language Complexity,CQ42016,,4,2016,2016-12-31
+XEL,Xcel Energy,Language Complexity,CQ42016,11.37,4,2016,2016-12-31
+T,AT&T,Net Positivity,CQ12017,1.61,1,2017,2017-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12017,1.9,1,2017,2017-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12017,,1,2017,2017-03-31
+META,Meta Platforms,Net Positivity,CQ12017,1.26,1,2017,2017-03-31
+NFLX,Netflix,Net Positivity,CQ12017,1.69,1,2017,2017-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12017,0.83,1,2017,2017-03-31
+OMC,Omnicom Group,Net Positivity,CQ12017,1.07,1,2017,2017-03-31
+VZ,Verizon,Net Positivity,CQ12017,1.32,1,2017,2017-03-31
+AMZN,Amazon,Net Positivity,CQ12017,1.3,1,2017,2017-03-31
+AZO,AutoZone,Net Positivity,CQ12017,0.51,1,2017,2017-03-31
+BBY,Best Buy,Net Positivity,CQ12017,1.22,1,2017,2017-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12017,1.81,1,2017,2017-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12017,1.57,1,2017,2017-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12017,1.23,1,2017,2017-03-31
+F,Ford Motor Company,Net Positivity,CQ12017,1.17,1,2017,2017-03-31
+GM,General Motors,Net Positivity,CQ12017,1.53,1,2017,2017-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12017,1.64,1,2017,2017-03-31
+HAS,Hasbro,Net Positivity,CQ12017,1.98,1,2017,2017-03-31
+LOW,Lowe's,Net Positivity,CQ12017,2.79,1,2017,2017-03-31
+MCD,McDonald's,Net Positivity,CQ12017,2.11,1,2017,2017-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12017,2.32,1,2017,2017-03-31
+ROST,Ross Stores,Net Positivity,CQ12017,0.74,1,2017,2017-03-31
+TJX,TJX Companies,Net Positivity,CQ12017,1.49,1,2017,2017-03-31
+TGT,Target,Net Positivity,CQ12017,1.51,1,2017,2017-03-31
+MO,Altria,Net Positivity,CQ12017,0.96,1,2017,2017-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12017,1.6,1,2017,2017-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12017,0.11,1,2017,2017-03-31
+CLX,Clorox,Net Positivity,CQ12017,2.02,1,2017,2017-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12017,0.99,1,2017,2017-03-31
+COST,Costco,Net Positivity,CQ12017,0.45,1,2017,2017-03-31
+GIS,General Mills,Net Positivity,CQ12017,0.67,1,2017,2017-03-31
+HSY,Hershey Company,Net Positivity,CQ12017,1.79,1,2017,2017-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12017,1.14,1,2017,2017-03-31
+KR,Kroger,Net Positivity,CQ12017,0.89,1,2017,2017-03-31
+MKC,McCormick & Company,Net Positivity,CQ12017,0.42,1,2017,2017-03-31
+PEP,PepsiCo,Net Positivity,CQ12017,1.03,1,2017,2017-03-31
+PG,Procter & Gamble,Net Positivity,CQ12017,0.94,1,2017,2017-03-31
+SYY,Sysco,Net Positivity,CQ12017,1.32,1,2017,2017-03-31
+WMT,Walmart,Net Positivity,CQ12017,1.86,1,2017,2017-03-31
+APA,APA Corporation,Net Positivity,CQ12017,0.84,1,2017,2017-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12017,,1,2017,2017-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12017,1.83,1,2017,2017-03-31
+EOG,EOG Resources,Net Positivity,CQ12017,1.6,1,2017,2017-03-31
+XOM,ExxonMobil,Net Positivity,CQ12017,0.65,1,2017,2017-03-31
+HAL,Halliburton,Net Positivity,CQ12017,1.02,1,2017,2017-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12017,2.28,1,2017,2017-03-31
+SLB,Schlumberger,Net Positivity,CQ12017,0.75,1,2017,2017-03-31
+VLO,Valero Energy,Net Positivity,CQ12017,0.25,1,2017,2017-03-31
+AFL,Aflac,Net Positivity,CQ12017,0.94,1,2017,2017-03-31
+ALL,Allstate,Net Positivity,CQ12017,0.06,1,2017,2017-03-31
+AXP,American Express,Net Positivity,CQ12017,1.11,1,2017,2017-03-31
+AIG,American International Group,Net Positivity,CQ12017,0.07,1,2017,2017-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12017,1.16,1,2017,2017-03-31
+AON,Aon plc,Net Positivity,CQ12017,1.76,1,2017,2017-03-31
+BK,BNY Mellon,Net Positivity,CQ12017,1.35,1,2017,2017-03-31
+BAC,Bank of America,Net Positivity,CQ12017,1.06,1,2017,2017-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12017,,1,2017,2017-03-31
+BLK,BlackRock,Net Positivity,CQ12017,0.58,1,2017,2017-03-31
+CME,CME Group,Net Positivity,CQ12017,1.06,1,2017,2017-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12017,,1,2017,2017-03-31
+CB,Chubb Limited,Net Positivity,CQ12017,0.2,1,2017,2017-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12017,0.56,1,2017,2017-03-31
+C,Citigroup,Net Positivity,CQ12017,0.78,1,2017,2017-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12017,0.93,1,2017,2017-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12017,1.11,1,2017,2017-03-31
+FISV,Fiserv,Net Positivity,CQ12017,1.35,1,2017,2017-03-31
+GS,Goldman Sachs,Net Positivity,CQ12017,0.46,1,2017,2017-03-31
+HIG,Hartford Financial,Net Positivity,CQ12017,0.2,1,2017,2017-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12017,0.68,1,2017,2017-03-31
+IVZ,Invesco,Net Positivity,CQ12017,0.59,1,2017,2017-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12017,1.2,1,2017,2017-03-31
+KEY,KeyCorp,Net Positivity,CQ12017,1.04,1,2017,2017-03-31
+MA,Mastercard,Net Positivity,CQ12017,0.7,1,2017,2017-03-31
+MET,MetLife,Net Positivity,CQ12017,0.16,1,2017,2017-03-31
+MS,Morgan Stanley,Net Positivity,CQ12017,0.92,1,2017,2017-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12017,1.51,1,2017,2017-03-31
+NTRS,Northern Trust,Net Positivity,CQ12017,0.89,1,2017,2017-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12017,0.46,1,2017,2017-03-31
+PRU,Prudential Financial,Net Positivity,CQ12017,0.69,1,2017,2017-03-31
+RF,Regions Financial,Net Positivity,CQ12017,1.03,1,2017,2017-03-31
+SPGI,S&P Global,Net Positivity,CQ12017,1.08,1,2017,2017-03-31
+STT,State Street,Net Positivity,CQ12017,0.67,1,2017,2017-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12017,,1,2017,2017-03-31
+TRV,Travelers Companies,Net Positivity,CQ12017,-0.27,1,2017,2017-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12017,0.96,1,2017,2017-03-31
+V,Visa,Net Positivity,CQ12017,1.25,1,2017,2017-03-31
+WFC,Wells Fargo,Net Positivity,CQ12017,0.31,1,2017,2017-03-31
+ABBV,AbbVie,Net Positivity,CQ12017,0.73,1,2017,2017-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12017,1.06,1,2017,2017-03-31
+A,Agilent Technologies,Net Positivity,CQ12017,0.97,1,2017,2017-03-31
+AMGN,Amgen,Net Positivity,CQ12017,1.06,1,2017,2017-03-31
+BAX,Baxter International,Net Positivity,CQ12017,1.44,1,2017,2017-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12017,1.8,1,2017,2017-03-31
+BIIB,Biogen,Net Positivity,CQ12017,1.24,1,2017,2017-03-31
+BSX,Boston Scientific,Net Positivity,CQ12017,1.05,1,2017,2017-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12017,0.64,1,2017,2017-03-31
+CVS,CVS Health,Net Positivity,CQ12017,0.8,1,2017,2017-03-31
+COR,Cencora,Net Positivity,CQ12017,,1,2017,2017-03-31
+CI,Cigna,Net Positivity,CQ12017,2.01,1,2017,2017-03-31
+DVA,DaVita,Net Positivity,CQ12017,0.36,1,2017,2017-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12017,1.73,1,2017,2017-03-31
+LLY,Eli Lilly,Net Positivity,CQ12017,1.0,1,2017,2017-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12017,0.54,1,2017,2017-03-31
+HUM,Humana,Net Positivity,CQ12017,,1,2017,2017-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12017,1.26,1,2017,2017-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12017,1.43,1,2017,2017-03-31
+LH,Labcorp,Net Positivity,CQ12017,1.24,1,2017,2017-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12017,0.19,1,2017,2017-03-31
+MDT,Medtronic,Net Positivity,CQ12017,1.27,1,2017,2017-03-31
+MRK,Merck & Co.,Net Positivity,CQ12017,0.62,1,2017,2017-03-31
+PFE,Pfizer,Net Positivity,CQ12017,0.54,1,2017,2017-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12017,2.26,1,2017,2017-03-31
+WAT,Waters Corporation,Net Positivity,CQ12017,1.64,1,2017,2017-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12017,1.42,1,2017,2017-03-31
+MMM,3M,Net Positivity,CQ12017,1.04,1,2017,2017-03-31
+AME,Ametek,Net Positivity,CQ12017,1.69,1,2017,2017-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12017,0.73,1,2017,2017-03-31
+BA,Boeing,Net Positivity,CQ12017,1.72,1,2017,2017-03-31
+CSX,CSX Corporation,Net Positivity,CQ12017,1.07,1,2017,2017-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12017,0.08,1,2017,2017-03-31
+CTAS,Cintas,Net Positivity,CQ12017,0.72,1,2017,2017-03-31
+CMI,Cummins,Net Positivity,CQ12017,-0.21,1,2017,2017-03-31
+DE,Deere & Company,Net Positivity,CQ12017,1.13,1,2017,2017-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12017,-0.54,1,2017,2017-03-31
+EMR,Emerson Electric,Net Positivity,CQ12017,1.04,1,2017,2017-03-31
+EFX,Equifax,Net Positivity,CQ12017,1.24,1,2017,2017-03-31
+EXPD,Expeditors International,Net Positivity,CQ12017,,1,2017,2017-03-31
+FDX,FedEx,Net Positivity,CQ12017,1.07,1,2017,2017-03-31
+GE,GE Aerospace,Net Positivity,CQ12017,0.95,1,2017,2017-03-31
+GD,General Dynamics,Net Positivity,CQ12017,0.32,1,2017,2017-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12017,1.52,1,2017,2017-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12017,1.05,1,2017,2017-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12017,0.99,1,2017,2017-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12017,1.2,1,2017,2017-03-31
+PCAR,Paccar,Net Positivity,CQ12017,1.67,1,2017,2017-03-31
+RTX,RTX Corporation,Net Positivity,CQ12017,0.82,1,2017,2017-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12017,1.61,1,2017,2017-03-31
+ROP,Roper Technologies,Net Positivity,CQ12017,0.72,1,2017,2017-03-31
+SNA,Snap-on,Net Positivity,CQ12017,1.41,1,2017,2017-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12017,1.6,1,2017,2017-03-31
+UPS,United Parcel Service,Net Positivity,CQ12017,1.18,1,2017,2017-03-31
+WM,Waste Management,Net Positivity,CQ12017,1.18,1,2017,2017-03-31
+ACN,Accenture,Net Positivity,CQ12017,1.76,1,2017,2017-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12017,1.99,1,2017,2017-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12017,0.84,1,2017,2017-03-31
+APH,Amphenol,Net Positivity,CQ12017,2.05,1,2017,2017-03-31
+ADI,Analog Devices,Net Positivity,CQ12017,1.95,1,2017,2017-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12017,1.88,1,2017,2017-03-31
+AMAT,Applied Materials,Net Positivity,CQ12017,2.16,1,2017,2017-03-31
+ADSK,Autodesk,Net Positivity,CQ12017,0.78,1,2017,2017-03-31
+AVGO,Broadcom,Net Positivity,CQ12017,1.18,1,2017,2017-03-31
+CSCO,Cisco,Net Positivity,CQ12017,1.28,1,2017,2017-03-31
+CTSH,Cognizant,Net Positivity,CQ12017,0.75,1,2017,2017-03-31
+HPQ,HP Inc.,Net Positivity,CQ12017,1.87,1,2017,2017-03-31
+IBM,IBM,Net Positivity,CQ12017,1.04,1,2017,2017-03-31
+INTC,Intel,Net Positivity,CQ12017,1.33,1,2017,2017-03-31
+INTU,Intuit,Net Positivity,CQ12017,1.35,1,2017,2017-03-31
+LRCX,Lam Research,Net Positivity,CQ12017,1.36,1,2017,2017-03-31
+MU,Micron Technology,Net Positivity,CQ12017,1.37,1,2017,2017-03-31
+MSFT,Microsoft,Net Positivity,CQ12017,1.22,1,2017,2017-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12017,1.07,1,2017,2017-03-31
+NTAP,NetApp,Net Positivity,CQ12017,1.09,1,2017,2017-03-31
+NVDA,Nvidia,Net Positivity,CQ12017,1.25,1,2017,2017-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12017,0.28,1,2017,2017-03-31
+TXN,Texas Instruments,Net Positivity,CQ12017,1.21,1,2017,2017-03-31
+APD,Air Products,Net Positivity,CQ12017,0.83,1,2017,2017-03-31
+AVY,Avery Dennison,Net Positivity,CQ12017,1.71,1,2017,2017-03-31
+ECL,Ecolab,Net Positivity,CQ12017,1.63,1,2017,2017-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12017,2.34,1,2017,2017-03-31
+IP,International Paper,Net Positivity,CQ12017,0.54,1,2017,2017-03-31
+LIN,Linde plc,Net Positivity,CQ12017,0.73,1,2017,2017-03-31
+NEM,Newmont,Net Positivity,CQ12017,1.02,1,2017,2017-03-31
+NUE,Nucor,Net Positivity,CQ12017,1.75,1,2017,2017-03-31
+AMT,American Tower,Net Positivity,CQ12017,0.78,1,2017,2017-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12017,0.33,1,2017,2017-03-31
+EQR,Equity Residential,Net Positivity,CQ12017,0.46,1,2017,2017-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12017,0.82,1,2017,2017-03-31
+IRM,Iron Mountain,Net Positivity,CQ12017,1.14,1,2017,2017-03-31
+PLD,Prologis,Net Positivity,CQ12017,0.48,1,2017,2017-03-31
+VTR,Ventas,Net Positivity,CQ12017,1.76,1,2017,2017-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12017,1.08,1,2017,2017-03-31
+AES,AES Corporation,Net Positivity,CQ12017,0.78,1,2017,2017-03-31
+AEE,Ameren,Net Positivity,CQ12017,1.4,1,2017,2017-03-31
+AEP,American Electric Power,Net Positivity,CQ12017,0.38,1,2017,2017-03-31
+CMS,CMS Energy,Net Positivity,CQ12017,1.29,1,2017,2017-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12017,1.35,1,2017,2017-03-31
+DUK,Duke Energy,Net Positivity,CQ12017,1.37,1,2017,2017-03-31
+EIX,Edison International,Net Positivity,CQ12017,0.92,1,2017,2017-03-31
+ETR,Entergy,Net Positivity,CQ12017,0.19,1,2017,2017-03-31
+EXC,Exelon,Net Positivity,CQ12017,1.14,1,2017,2017-03-31
+NEE,NextEra Energy,Net Positivity,CQ12017,1.48,1,2017,2017-03-31
+SO,Southern Company,Net Positivity,CQ12017,0.25,1,2017,2017-03-31
+XEL,Xcel Energy,Net Positivity,CQ12017,0.65,1,2017,2017-03-31
+T,AT&T,Numeric Transeprency,CQ12017,1.44,1,2017,2017-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12017,2.06,1,2017,2017-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12017,,1,2017,2017-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12017,1.8,1,2017,2017-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12017,0.97,1,2017,2017-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12017,2.69,1,2017,2017-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12017,2.88,1,2017,2017-03-31
+VZ,Verizon,Numeric Transeprency,CQ12017,2.99,1,2017,2017-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12017,1.37,1,2017,2017-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12017,2.17,1,2017,2017-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12017,2.4,1,2017,2017-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12017,1.35,1,2017,2017-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12017,2.25,1,2017,2017-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12017,1.91,1,2017,2017-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12017,2.08,1,2017,2017-03-31
+GM,General Motors,Numeric Transeprency,CQ12017,3.23,1,2017,2017-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12017,4.5,1,2017,2017-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12017,2.86,1,2017,2017-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12017,3.19,1,2017,2017-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12017,2.14,1,2017,2017-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12017,1.78,1,2017,2017-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12017,3.0,1,2017,2017-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12017,2.98,1,2017,2017-03-31
+TGT,Target,Numeric Transeprency,CQ12017,1.21,1,2017,2017-03-31
+MO,Altria,Numeric Transeprency,CQ12017,1.92,1,2017,2017-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12017,3.13,1,2017,2017-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12017,1.82,1,2017,2017-03-31
+CLX,Clorox,Numeric Transeprency,CQ12017,1.74,1,2017,2017-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12017,2.03,1,2017,2017-03-31
+COST,Costco,Numeric Transeprency,CQ12017,4.22,1,2017,2017-03-31
+GIS,General Mills,Numeric Transeprency,CQ12017,1.91,1,2017,2017-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12017,2.83,1,2017,2017-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12017,2.19,1,2017,2017-03-31
+KR,Kroger,Numeric Transeprency,CQ12017,1.77,1,2017,2017-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12017,2.34,1,2017,2017-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12017,2.24,1,2017,2017-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12017,2.41,1,2017,2017-03-31
+SYY,Sysco,Numeric Transeprency,CQ12017,1.13,1,2017,2017-03-31
+WMT,Walmart,Numeric Transeprency,CQ12017,3.73,1,2017,2017-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12017,3.04,1,2017,2017-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12017,,1,2017,2017-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12017,3.24,1,2017,2017-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12017,3.8,1,2017,2017-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12017,3.1,1,2017,2017-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12017,1.54,1,2017,2017-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12017,4.11,1,2017,2017-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12017,2.18,1,2017,2017-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12017,2.17,1,2017,2017-03-31
+AFL,Aflac,Numeric Transeprency,CQ12017,2.07,1,2017,2017-03-31
+ALL,Allstate,Numeric Transeprency,CQ12017,2.61,1,2017,2017-03-31
+AXP,American Express,Numeric Transeprency,CQ12017,2.39,1,2017,2017-03-31
+AIG,American International Group,Numeric Transeprency,CQ12017,3.21,1,2017,2017-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12017,1.72,1,2017,2017-03-31
+AON,Aon plc,Numeric Transeprency,CQ12017,2.62,1,2017,2017-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12017,2.29,1,2017,2017-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12017,3.71,1,2017,2017-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12017,,1,2017,2017-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12017,2.74,1,2017,2017-03-31
+CME,CME Group,Numeric Transeprency,CQ12017,2.31,1,2017,2017-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12017,,1,2017,2017-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12017,2.26,1,2017,2017-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12017,2.78,1,2017,2017-03-31
+C,Citigroup,Numeric Transeprency,CQ12017,3.99,1,2017,2017-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12017,3.85,1,2017,2017-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12017,4.56,1,2017,2017-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12017,2.81,1,2017,2017-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12017,1.81,1,2017,2017-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12017,3.68,1,2017,2017-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12017,2.69,1,2017,2017-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12017,2.49,1,2017,2017-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12017,2.46,1,2017,2017-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12017,2.82,1,2017,2017-03-31
+MA,Mastercard,Numeric Transeprency,CQ12017,2.42,1,2017,2017-03-31
+MET,MetLife,Numeric Transeprency,CQ12017,3.93,1,2017,2017-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12017,3.34,1,2017,2017-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12017,2.55,1,2017,2017-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12017,4.01,1,2017,2017-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12017,2.9,1,2017,2017-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12017,2.93,1,2017,2017-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12017,3.54,1,2017,2017-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12017,2.67,1,2017,2017-03-31
+STT,State Street,Numeric Transeprency,CQ12017,3.16,1,2017,2017-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12017,,1,2017,2017-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12017,2.81,1,2017,2017-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12017,2.09,1,2017,2017-03-31
+V,Visa,Numeric Transeprency,CQ12017,1.73,1,2017,2017-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12017,2.47,1,2017,2017-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12017,2.39,1,2017,2017-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12017,2.12,1,2017,2017-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12017,1.7,1,2017,2017-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12017,2.57,1,2017,2017-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12017,3.33,1,2017,2017-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12017,2.37,1,2017,2017-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12017,2.97,1,2017,2017-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12017,4.97,1,2017,2017-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12017,1.34,1,2017,2017-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12017,2.41,1,2017,2017-03-31
+COR,Cencora,Numeric Transeprency,CQ12017,,1,2017,2017-03-31
+CI,Cigna,Numeric Transeprency,CQ12017,2.97,1,2017,2017-03-31
+DVA,DaVita,Numeric Transeprency,CQ12017,2.37,1,2017,2017-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12017,1.73,1,2017,2017-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12017,1.98,1,2017,2017-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12017,2.62,1,2017,2017-03-31
+HUM,Humana,Numeric Transeprency,CQ12017,,1,2017,2017-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12017,3.9,1,2017,2017-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12017,2.99,1,2017,2017-03-31
+LH,Labcorp,Numeric Transeprency,CQ12017,2.15,1,2017,2017-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12017,2.18,1,2017,2017-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12017,1.52,1,2017,2017-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12017,2.06,1,2017,2017-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12017,2.86,1,2017,2017-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12017,3.85,1,2017,2017-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12017,2.23,1,2017,2017-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12017,3.55,1,2017,2017-03-31
+MMM,3M,Numeric Transeprency,CQ12017,3.45,1,2017,2017-03-31
+AME,Ametek,Numeric Transeprency,CQ12017,3.12,1,2017,2017-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12017,1.79,1,2017,2017-03-31
+BA,Boeing,Numeric Transeprency,CQ12017,2.73,1,2017,2017-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12017,1.94,1,2017,2017-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12017,2.58,1,2017,2017-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12017,3.12,1,2017,2017-03-31
+CMI,Cummins,Numeric Transeprency,CQ12017,4.59,1,2017,2017-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12017,2.19,1,2017,2017-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12017,3.12,1,2017,2017-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12017,1.54,1,2017,2017-03-31
+EFX,Equifax,Numeric Transeprency,CQ12017,4.63,1,2017,2017-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12017,,1,2017,2017-03-31
+FDX,FedEx,Numeric Transeprency,CQ12017,2.14,1,2017,2017-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12017,7.46,1,2017,2017-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12017,5.1,1,2017,2017-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12017,3.77,1,2017,2017-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12017,2.82,1,2017,2017-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12017,3.61,1,2017,2017-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12017,2.59,1,2017,2017-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12017,2.61,1,2017,2017-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12017,2.66,1,2017,2017-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12017,1.63,1,2017,2017-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12017,3.34,1,2017,2017-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12017,3.96,1,2017,2017-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12017,3.18,1,2017,2017-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12017,3.03,1,2017,2017-03-31
+WM,Waste Management,Numeric Transeprency,CQ12017,3.88,1,2017,2017-03-31
+ACN,Accenture,Numeric Transeprency,CQ12017,3.27,1,2017,2017-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12017,2.07,1,2017,2017-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12017,2.51,1,2017,2017-03-31
+APH,Amphenol,Numeric Transeprency,CQ12017,2.72,1,2017,2017-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12017,1.5,1,2017,2017-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12017,2.55,1,2017,2017-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12017,4.05,1,2017,2017-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12017,1.91,1,2017,2017-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12017,2.1,1,2017,2017-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12017,2.66,1,2017,2017-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12017,2.93,1,2017,2017-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12017,2.12,1,2017,2017-03-31
+IBM,IBM,Numeric Transeprency,CQ12017,2.45,1,2017,2017-03-31
+INTC,Intel,Numeric Transeprency,CQ12017,2.8,1,2017,2017-03-31
+INTU,Intuit,Numeric Transeprency,CQ12017,2.07,1,2017,2017-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12017,2.67,1,2017,2017-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12017,1.79,1,2017,2017-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12017,3.39,1,2017,2017-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12017,4.25,1,2017,2017-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12017,1.55,1,2017,2017-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12017,1.8,1,2017,2017-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12017,3.03,1,2017,2017-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12017,3.31,1,2017,2017-03-31
+APD,Air Products,Numeric Transeprency,CQ12017,2.78,1,2017,2017-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12017,2.32,1,2017,2017-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12017,2.05,1,2017,2017-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12017,2.97,1,2017,2017-03-31
+IP,International Paper,Numeric Transeprency,CQ12017,2.09,1,2017,2017-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12017,1.66,1,2017,2017-03-31
+NEM,Newmont,Numeric Transeprency,CQ12017,2.96,1,2017,2017-03-31
+NUE,Nucor,Numeric Transeprency,CQ12017,1.86,1,2017,2017-03-31
+AMT,American Tower,Numeric Transeprency,CQ12017,3.56,1,2017,2017-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12017,2.83,1,2017,2017-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12017,3.19,1,2017,2017-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12017,3.01,1,2017,2017-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12017,3.2,1,2017,2017-03-31
+PLD,Prologis,Numeric Transeprency,CQ12017,2.42,1,2017,2017-03-31
+VTR,Ventas,Numeric Transeprency,CQ12017,3.39,1,2017,2017-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12017,3.14,1,2017,2017-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12017,4.48,1,2017,2017-03-31
+AEE,Ameren,Numeric Transeprency,CQ12017,3.93,1,2017,2017-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12017,2.76,1,2017,2017-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12017,2.43,1,2017,2017-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12017,4.8,1,2017,2017-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12017,2.59,1,2017,2017-03-31
+EIX,Edison International,Numeric Transeprency,CQ12017,2.75,1,2017,2017-03-31
+ETR,Entergy,Numeric Transeprency,CQ12017,3.08,1,2017,2017-03-31
+EXC,Exelon,Numeric Transeprency,CQ12017,2.9,1,2017,2017-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12017,4.09,1,2017,2017-03-31
+SO,Southern Company,Numeric Transeprency,CQ12017,2.69,1,2017,2017-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12017,2.01,1,2017,2017-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12017,19.23,1,2017,2017-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12017,24.44,1,2017,2017-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12017,,1,2017,2017-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12017,28.89,1,2017,2017-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12017,4.55,1,2017,2017-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12017,38.46,1,2017,2017-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12017,27.78,1,2017,2017-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12017,29.63,1,2017,2017-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12017,32.5,1,2017,2017-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12017,20.69,1,2017,2017-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12017,32.14,1,2017,2017-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12017,52.94,1,2017,2017-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12017,21.21,1,2017,2017-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12017,62.96,1,2017,2017-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12017,36.0,1,2017,2017-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12017,38.1,1,2017,2017-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12017,42.86,1,2017,2017-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12017,58.33,1,2017,2017-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12017,21.88,1,2017,2017-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12017,35.48,1,2017,2017-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12017,14.29,1,2017,2017-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12017,64.29,1,2017,2017-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12017,23.33,1,2017,2017-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12017,40.0,1,2017,2017-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12017,64.29,1,2017,2017-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12017,60.0,1,2017,2017-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12017,41.18,1,2017,2017-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12017,52.94,1,2017,2017-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12017,44.0,1,2017,2017-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12017,39.39,1,2017,2017-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12017,36.84,1,2017,2017-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12017,42.11,1,2017,2017-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12017,73.33,1,2017,2017-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12017,52.17,1,2017,2017-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12017,41.67,1,2017,2017-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12017,54.17,1,2017,2017-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12017,69.57,1,2017,2017-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12017,52.94,1,2017,2017-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12017,0.0,1,2017,2017-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12017,25.81,1,2017,2017-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12017,,1,2017,2017-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12017,10.0,1,2017,2017-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12017,16.22,1,2017,2017-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12017,57.69,1,2017,2017-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12017,23.08,1,2017,2017-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12017,16.67,1,2017,2017-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12017,17.5,1,2017,2017-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12017,47.83,1,2017,2017-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12017,50.0,1,2017,2017-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12017,33.33,1,2017,2017-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12017,32.26,1,2017,2017-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12017,50.0,1,2017,2017-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12017,60.0,1,2017,2017-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12017,44.44,1,2017,2017-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12017,44.44,1,2017,2017-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12017,35.48,1,2017,2017-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12017,,1,2017,2017-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12017,41.18,1,2017,2017-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12017,53.33,1,2017,2017-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12017,,1,2017,2017-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12017,42.86,1,2017,2017-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12017,40.0,1,2017,2017-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12017,39.13,1,2017,2017-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12017,31.82,1,2017,2017-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12017,32.14,1,2017,2017-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12017,37.5,1,2017,2017-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12017,51.85,1,2017,2017-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12017,50.0,1,2017,2017-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12017,53.33,1,2017,2017-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12017,75.0,1,2017,2017-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12017,55.56,1,2017,2017-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12017,48.15,1,2017,2017-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12017,24.24,1,2017,2017-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12017,52.94,1,2017,2017-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12017,40.0,1,2017,2017-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12017,71.43,1,2017,2017-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12017,47.06,1,2017,2017-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12017,30.0,1,2017,2017-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12017,41.18,1,2017,2017-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12017,24.14,1,2017,2017-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12017,68.75,1,2017,2017-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12017,64.71,1,2017,2017-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12017,,1,2017,2017-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12017,43.48,1,2017,2017-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12017,37.93,1,2017,2017-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12017,23.53,1,2017,2017-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12017,33.33,1,2017,2017-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12017,42.86,1,2017,2017-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12017,45.45,1,2017,2017-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12017,60.0,1,2017,2017-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12017,66.67,1,2017,2017-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12017,64.71,1,2017,2017-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12017,44.44,1,2017,2017-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12017,41.67,1,2017,2017-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12017,23.08,1,2017,2017-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12017,47.83,1,2017,2017-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12017,46.15,1,2017,2017-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12017,,1,2017,2017-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12017,60.0,1,2017,2017-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12017,50.0,1,2017,2017-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12017,40.0,1,2017,2017-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12017,56.52,1,2017,2017-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12017,57.14,1,2017,2017-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12017,,1,2017,2017-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12017,38.89,1,2017,2017-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12017,34.78,1,2017,2017-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12017,55.0,1,2017,2017-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12017,50.0,1,2017,2017-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12017,46.15,1,2017,2017-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12017,45.0,1,2017,2017-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12017,83.33,1,2017,2017-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12017,42.11,1,2017,2017-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12017,47.37,1,2017,2017-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12017,33.33,1,2017,2017-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12017,61.11,1,2017,2017-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12017,60.0,1,2017,2017-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12017,30.0,1,2017,2017-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12017,44.0,1,2017,2017-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12017,54.84,1,2017,2017-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12017,34.78,1,2017,2017-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12017,21.43,1,2017,2017-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12017,21.74,1,2017,2017-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12017,76.19,1,2017,2017-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12017,33.33,1,2017,2017-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12017,54.17,1,2017,2017-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12017,62.5,1,2017,2017-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12017,,1,2017,2017-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12017,42.31,1,2017,2017-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12017,36.84,1,2017,2017-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12017,42.11,1,2017,2017-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12017,63.16,1,2017,2017-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12017,45.45,1,2017,2017-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12017,58.06,1,2017,2017-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12017,50.0,1,2017,2017-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12017,69.57,1,2017,2017-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12017,47.62,1,2017,2017-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12017,45.83,1,2017,2017-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12017,69.23,1,2017,2017-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12017,75.0,1,2017,2017-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12017,61.11,1,2017,2017-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12017,36.0,1,2017,2017-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12017,46.15,1,2017,2017-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12017,26.67,1,2017,2017-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12017,53.85,1,2017,2017-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12017,56.0,1,2017,2017-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12017,75.0,1,2017,2017-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12017,61.54,1,2017,2017-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12017,13.64,1,2017,2017-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12017,58.33,1,2017,2017-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12017,42.86,1,2017,2017-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12017,25.81,1,2017,2017-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12017,34.38,1,2017,2017-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12017,30.56,1,2017,2017-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12017,45.45,1,2017,2017-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12017,41.67,1,2017,2017-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12017,20.0,1,2017,2017-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12017,40.0,1,2017,2017-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12017,55.0,1,2017,2017-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12017,42.31,1,2017,2017-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12017,32.35,1,2017,2017-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12017,57.89,1,2017,2017-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12017,57.58,1,2017,2017-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12017,38.71,1,2017,2017-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12017,21.62,1,2017,2017-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12017,28.57,1,2017,2017-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12017,44.44,1,2017,2017-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12017,40.0,1,2017,2017-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12017,63.64,1,2017,2017-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12017,26.67,1,2017,2017-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12017,52.63,1,2017,2017-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12017,53.33,1,2017,2017-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12017,37.5,1,2017,2017-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12017,50.0,1,2017,2017-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12017,37.5,1,2017,2017-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12017,33.33,1,2017,2017-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12017,66.67,1,2017,2017-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12017,85.71,1,2017,2017-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12017,66.67,1,2017,2017-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12017,62.5,1,2017,2017-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12017,60.0,1,2017,2017-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12017,58.33,1,2017,2017-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12017,42.86,1,2017,2017-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12017,8.33,1,2017,2017-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12017,36.36,1,2017,2017-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12017,40.0,1,2017,2017-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12017,37.5,1,2017,2017-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12017,31.82,1,2017,2017-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12017,42.11,1,2017,2017-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12017,30.0,1,2017,2017-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12017,25.0,1,2017,2017-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12017,30.0,1,2017,2017-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12017,31.58,1,2017,2017-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12017,43.75,1,2017,2017-03-31
+T,AT&T,Language Complexity,CQ12017,11.63,1,2017,2017-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12017,12.11,1,2017,2017-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12017,,1,2017,2017-03-31
+META,Meta Platforms,Language Complexity,CQ12017,12.33,1,2017,2017-03-31
+NFLX,Netflix,Language Complexity,CQ12017,11.73,1,2017,2017-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12017,15.06,1,2017,2017-03-31
+OMC,Omnicom Group,Language Complexity,CQ12017,13.51,1,2017,2017-03-31
+VZ,Verizon,Language Complexity,CQ12017,12.68,1,2017,2017-03-31
+AMZN,Amazon,Language Complexity,CQ12017,11.46,1,2017,2017-03-31
+AZO,AutoZone,Language Complexity,CQ12017,12.25,1,2017,2017-03-31
+BBY,Best Buy,Language Complexity,CQ12017,14.15,1,2017,2017-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12017,11.8,1,2017,2017-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12017,13.14,1,2017,2017-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12017,10.89,1,2017,2017-03-31
+F,Ford Motor Company,Language Complexity,CQ12017,10.76,1,2017,2017-03-31
+GM,General Motors,Language Complexity,CQ12017,12.63,1,2017,2017-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12017,12.8,1,2017,2017-03-31
+HAS,Hasbro,Language Complexity,CQ12017,12.77,1,2017,2017-03-31
+LOW,Lowe's,Language Complexity,CQ12017,14.16,1,2017,2017-03-31
+MCD,McDonald's,Language Complexity,CQ12017,13.59,1,2017,2017-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12017,13.91,1,2017,2017-03-31
+ROST,Ross Stores,Language Complexity,CQ12017,10.6,1,2017,2017-03-31
+TJX,TJX Companies,Language Complexity,CQ12017,11.69,1,2017,2017-03-31
+TGT,Target,Language Complexity,CQ12017,11.22,1,2017,2017-03-31
+MO,Altria,Language Complexity,CQ12017,11.52,1,2017,2017-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12017,12.32,1,2017,2017-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12017,11.84,1,2017,2017-03-31
+CLX,Clorox,Language Complexity,CQ12017,12.67,1,2017,2017-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12017,12.79,1,2017,2017-03-31
+COST,Costco,Language Complexity,CQ12017,11.04,1,2017,2017-03-31
+GIS,General Mills,Language Complexity,CQ12017,11.82,1,2017,2017-03-31
+HSY,Hershey Company,Language Complexity,CQ12017,11.56,1,2017,2017-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12017,11.16,1,2017,2017-03-31
+KR,Kroger,Language Complexity,CQ12017,11.6,1,2017,2017-03-31
+MKC,McCormick & Company,Language Complexity,CQ12017,11.86,1,2017,2017-03-31
+PEP,PepsiCo,Language Complexity,CQ12017,13.39,1,2017,2017-03-31
+PG,Procter & Gamble,Language Complexity,CQ12017,12.71,1,2017,2017-03-31
+SYY,Sysco,Language Complexity,CQ12017,12.94,1,2017,2017-03-31
+WMT,Walmart,Language Complexity,CQ12017,15.03,1,2017,2017-03-31
+APA,APA Corporation,Language Complexity,CQ12017,12.15,1,2017,2017-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12017,,1,2017,2017-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12017,13.51,1,2017,2017-03-31
+EOG,EOG Resources,Language Complexity,CQ12017,12.27,1,2017,2017-03-31
+XOM,ExxonMobil,Language Complexity,CQ12017,12.55,1,2017,2017-03-31
+HAL,Halliburton,Language Complexity,CQ12017,12.1,1,2017,2017-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12017,14.61,1,2017,2017-03-31
+SLB,Schlumberger,Language Complexity,CQ12017,13.51,1,2017,2017-03-31
+VLO,Valero Energy,Language Complexity,CQ12017,10.66,1,2017,2017-03-31
+AFL,Aflac,Language Complexity,CQ12017,11.72,1,2017,2017-03-31
+ALL,Allstate,Language Complexity,CQ12017,12.41,1,2017,2017-03-31
+AXP,American Express,Language Complexity,CQ12017,14.98,1,2017,2017-03-31
+AIG,American International Group,Language Complexity,CQ12017,14.46,1,2017,2017-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12017,13.09,1,2017,2017-03-31
+AON,Aon plc,Language Complexity,CQ12017,13.59,1,2017,2017-03-31
+BK,BNY Mellon,Language Complexity,CQ12017,13.35,1,2017,2017-03-31
+BAC,Bank of America,Language Complexity,CQ12017,10.97,1,2017,2017-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12017,,1,2017,2017-03-31
+BLK,BlackRock,Language Complexity,CQ12017,13.9,1,2017,2017-03-31
+CME,CME Group,Language Complexity,CQ12017,11.05,1,2017,2017-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12017,,1,2017,2017-03-31
+CB,Chubb Limited,Language Complexity,CQ12017,12.26,1,2017,2017-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12017,12.89,1,2017,2017-03-31
+C,Citigroup,Language Complexity,CQ12017,12.29,1,2017,2017-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12017,11.81,1,2017,2017-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12017,12.13,1,2017,2017-03-31
+FISV,Fiserv,Language Complexity,CQ12017,12.63,1,2017,2017-03-31
+GS,Goldman Sachs,Language Complexity,CQ12017,11.93,1,2017,2017-03-31
+HIG,Hartford Financial,Language Complexity,CQ12017,13.07,1,2017,2017-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12017,12.91,1,2017,2017-03-31
+IVZ,Invesco,Language Complexity,CQ12017,11.36,1,2017,2017-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12017,11.3,1,2017,2017-03-31
+KEY,KeyCorp,Language Complexity,CQ12017,12.31,1,2017,2017-03-31
+MA,Mastercard,Language Complexity,CQ12017,12.18,1,2017,2017-03-31
+MET,MetLife,Language Complexity,CQ12017,12.9,1,2017,2017-03-31
+MS,Morgan Stanley,Language Complexity,CQ12017,12.23,1,2017,2017-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12017,13.4,1,2017,2017-03-31
+NTRS,Northern Trust,Language Complexity,CQ12017,12.9,1,2017,2017-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12017,11.21,1,2017,2017-03-31
+PRU,Prudential Financial,Language Complexity,CQ12017,13.54,1,2017,2017-03-31
+RF,Regions Financial,Language Complexity,CQ12017,12.28,1,2017,2017-03-31
+SPGI,S&P Global,Language Complexity,CQ12017,13.36,1,2017,2017-03-31
+STT,State Street,Language Complexity,CQ12017,12.95,1,2017,2017-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12017,,1,2017,2017-03-31
+TRV,Travelers Companies,Language Complexity,CQ12017,12.3,1,2017,2017-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12017,10.85,1,2017,2017-03-31
+V,Visa,Language Complexity,CQ12017,12.45,1,2017,2017-03-31
+WFC,Wells Fargo,Language Complexity,CQ12017,13.25,1,2017,2017-03-31
+ABBV,AbbVie,Language Complexity,CQ12017,13.82,1,2017,2017-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12017,12.44,1,2017,2017-03-31
+A,Agilent Technologies,Language Complexity,CQ12017,10.97,1,2017,2017-03-31
+AMGN,Amgen,Language Complexity,CQ12017,13.61,1,2017,2017-03-31
+BAX,Baxter International,Language Complexity,CQ12017,11.53,1,2017,2017-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12017,11.76,1,2017,2017-03-31
+BIIB,Biogen,Language Complexity,CQ12017,12.54,1,2017,2017-03-31
+BSX,Boston Scientific,Language Complexity,CQ12017,12.48,1,2017,2017-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12017,11.73,1,2017,2017-03-31
+CVS,CVS Health,Language Complexity,CQ12017,12.45,1,2017,2017-03-31
+COR,Cencora,Language Complexity,CQ12017,,1,2017,2017-03-31
+CI,Cigna,Language Complexity,CQ12017,15.57,1,2017,2017-03-31
+DVA,DaVita,Language Complexity,CQ12017,10.76,1,2017,2017-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12017,13.29,1,2017,2017-03-31
+LLY,Eli Lilly,Language Complexity,CQ12017,12.08,1,2017,2017-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12017,12.03,1,2017,2017-03-31
+HUM,Humana,Language Complexity,CQ12017,,1,2017,2017-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12017,13.12,1,2017,2017-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12017,14.8,1,2017,2017-03-31
+LH,Labcorp,Language Complexity,CQ12017,13.4,1,2017,2017-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12017,14.43,1,2017,2017-03-31
+MDT,Medtronic,Language Complexity,CQ12017,13.17,1,2017,2017-03-31
+MRK,Merck & Co.,Language Complexity,CQ12017,13.06,1,2017,2017-03-31
+PFE,Pfizer,Language Complexity,CQ12017,13.23,1,2017,2017-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12017,13.18,1,2017,2017-03-31
+WAT,Waters Corporation,Language Complexity,CQ12017,13.33,1,2017,2017-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12017,14.24,1,2017,2017-03-31
+MMM,3M,Language Complexity,CQ12017,11.07,1,2017,2017-03-31
+AME,Ametek,Language Complexity,CQ12017,11.22,1,2017,2017-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12017,14.28,1,2017,2017-03-31
+BA,Boeing,Language Complexity,CQ12017,12.76,1,2017,2017-03-31
+CSX,CSX Corporation,Language Complexity,CQ12017,11.79,1,2017,2017-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12017,9.58,1,2017,2017-03-31
+CTAS,Cintas,Language Complexity,CQ12017,11.95,1,2017,2017-03-31
+CMI,Cummins,Language Complexity,CQ12017,11.67,1,2017,2017-03-31
+DE,Deere & Company,Language Complexity,CQ12017,11.62,1,2017,2017-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12017,10.98,1,2017,2017-03-31
+EMR,Emerson Electric,Language Complexity,CQ12017,10.04,1,2017,2017-03-31
+EFX,Equifax,Language Complexity,CQ12017,12.32,1,2017,2017-03-31
+EXPD,Expeditors International,Language Complexity,CQ12017,,1,2017,2017-03-31
+FDX,FedEx,Language Complexity,CQ12017,12.47,1,2017,2017-03-31
+GE,GE Aerospace,Language Complexity,CQ12017,10.72,1,2017,2017-03-31
+GD,General Dynamics,Language Complexity,CQ12017,12.7,1,2017,2017-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12017,11.11,1,2017,2017-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12017,13.91,1,2017,2017-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12017,11.7,1,2017,2017-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12017,12.94,1,2017,2017-03-31
+PCAR,Paccar,Language Complexity,CQ12017,10.27,1,2017,2017-03-31
+RTX,RTX Corporation,Language Complexity,CQ12017,10.16,1,2017,2017-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12017,10.81,1,2017,2017-03-31
+ROP,Roper Technologies,Language Complexity,CQ12017,10.57,1,2017,2017-03-31
+SNA,Snap-on,Language Complexity,CQ12017,12.52,1,2017,2017-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12017,14.03,1,2017,2017-03-31
+UPS,United Parcel Service,Language Complexity,CQ12017,11.8,1,2017,2017-03-31
+WM,Waste Management,Language Complexity,CQ12017,11.26,1,2017,2017-03-31
+ACN,Accenture,Language Complexity,CQ12017,12.84,1,2017,2017-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12017,13.51,1,2017,2017-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12017,12.65,1,2017,2017-03-31
+APH,Amphenol,Language Complexity,CQ12017,14.34,1,2017,2017-03-31
+ADI,Analog Devices,Language Complexity,CQ12017,12.65,1,2017,2017-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12017,11.79,1,2017,2017-03-31
+AMAT,Applied Materials,Language Complexity,CQ12017,10.82,1,2017,2017-03-31
+ADSK,Autodesk,Language Complexity,CQ12017,11.83,1,2017,2017-03-31
+AVGO,Broadcom,Language Complexity,CQ12017,11.93,1,2017,2017-03-31
+CSCO,Cisco,Language Complexity,CQ12017,12.48,1,2017,2017-03-31
+CTSH,Cognizant,Language Complexity,CQ12017,14.09,1,2017,2017-03-31
+HPQ,HP Inc.,Language Complexity,CQ12017,12.65,1,2017,2017-03-31
+IBM,IBM,Language Complexity,CQ12017,12.64,1,2017,2017-03-31
+INTC,Intel,Language Complexity,CQ12017,12.11,1,2017,2017-03-31
+INTU,Intuit,Language Complexity,CQ12017,10.69,1,2017,2017-03-31
+LRCX,Lam Research,Language Complexity,CQ12017,13.6,1,2017,2017-03-31
+MU,Micron Technology,Language Complexity,CQ12017,12.02,1,2017,2017-03-31
+MSFT,Microsoft,Language Complexity,CQ12017,14.02,1,2017,2017-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12017,11.14,1,2017,2017-03-31
+NTAP,NetApp,Language Complexity,CQ12017,12.56,1,2017,2017-03-31
+NVDA,Nvidia,Language Complexity,CQ12017,11.98,1,2017,2017-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12017,10.53,1,2017,2017-03-31
+TXN,Texas Instruments,Language Complexity,CQ12017,11.35,1,2017,2017-03-31
+APD,Air Products,Language Complexity,CQ12017,11.16,1,2017,2017-03-31
+AVY,Avery Dennison,Language Complexity,CQ12017,13.46,1,2017,2017-03-31
+ECL,Ecolab,Language Complexity,CQ12017,11.42,1,2017,2017-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12017,12.73,1,2017,2017-03-31
+IP,International Paper,Language Complexity,CQ12017,12.55,1,2017,2017-03-31
+LIN,Linde plc,Language Complexity,CQ12017,10.97,1,2017,2017-03-31
+NEM,Newmont,Language Complexity,CQ12017,11.37,1,2017,2017-03-31
+NUE,Nucor,Language Complexity,CQ12017,11.64,1,2017,2017-03-31
+AMT,American Tower,Language Complexity,CQ12017,13.69,1,2017,2017-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12017,11.74,1,2017,2017-03-31
+EQR,Equity Residential,Language Complexity,CQ12017,12.06,1,2017,2017-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12017,11.77,1,2017,2017-03-31
+IRM,Iron Mountain,Language Complexity,CQ12017,13.09,1,2017,2017-03-31
+PLD,Prologis,Language Complexity,CQ12017,11.27,1,2017,2017-03-31
+VTR,Ventas,Language Complexity,CQ12017,12.41,1,2017,2017-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12017,12.39,1,2017,2017-03-31
+AES,AES Corporation,Language Complexity,CQ12017,11.91,1,2017,2017-03-31
+AEE,Ameren,Language Complexity,CQ12017,16.26,1,2017,2017-03-31
+AEP,American Electric Power,Language Complexity,CQ12017,12.63,1,2017,2017-03-31
+CMS,CMS Energy,Language Complexity,CQ12017,11.13,1,2017,2017-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12017,13.11,1,2017,2017-03-31
+DUK,Duke Energy,Language Complexity,CQ12017,14.06,1,2017,2017-03-31
+EIX,Edison International,Language Complexity,CQ12017,13.04,1,2017,2017-03-31
+ETR,Entergy,Language Complexity,CQ12017,13.29,1,2017,2017-03-31
+EXC,Exelon,Language Complexity,CQ12017,12.81,1,2017,2017-03-31
+NEE,NextEra Energy,Language Complexity,CQ12017,15.15,1,2017,2017-03-31
+SO,Southern Company,Language Complexity,CQ12017,11.78,1,2017,2017-03-31
+XEL,Xcel Energy,Language Complexity,CQ12017,11.78,1,2017,2017-03-31
+T,AT&T,Net Positivity,CQ22017,0.83,2,2017,2017-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22017,2.24,2,2017,2017-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22017,,2,2017,2017-06-30
+META,Meta Platforms,Net Positivity,CQ22017,0.95,2,2017,2017-06-30
+NFLX,Netflix,Net Positivity,CQ22017,1.6,2,2017,2017-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22017,1.02,2,2017,2017-06-30
+OMC,Omnicom Group,Net Positivity,CQ22017,0.84,2,2017,2017-06-30
+VZ,Verizon,Net Positivity,CQ22017,1.01,2,2017,2017-06-30
+AMZN,Amazon,Net Positivity,CQ22017,1.24,2,2017,2017-06-30
+AZO,AutoZone,Net Positivity,CQ22017,0.61,2,2017,2017-06-30
+BBY,Best Buy,Net Positivity,CQ22017,1.43,2,2017,2017-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22017,1.41,2,2017,2017-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22017,1.88,2,2017,2017-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22017,1.24,2,2017,2017-06-30
+F,Ford Motor Company,Net Positivity,CQ22017,0.87,2,2017,2017-06-30
+GM,General Motors,Net Positivity,CQ22017,1.42,2,2017,2017-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22017,1.49,2,2017,2017-06-30
+HAS,Hasbro,Net Positivity,CQ22017,1.75,2,2017,2017-06-30
+LOW,Lowe's,Net Positivity,CQ22017,1.9,2,2017,2017-06-30
+MCD,McDonald's,Net Positivity,CQ22017,1.9,2,2017,2017-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22017,2.82,2,2017,2017-06-30
+ROST,Ross Stores,Net Positivity,CQ22017,0.69,2,2017,2017-06-30
+TJX,TJX Companies,Net Positivity,CQ22017,1.47,2,2017,2017-06-30
+TGT,Target,Net Positivity,CQ22017,1.68,2,2017,2017-06-30
+MO,Altria,Net Positivity,CQ22017,0.24,2,2017,2017-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22017,1.15,2,2017,2017-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22017,0.89,2,2017,2017-06-30
+CLX,Clorox,Net Positivity,CQ22017,1.57,2,2017,2017-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22017,1.26,2,2017,2017-06-30
+COST,Costco,Net Positivity,CQ22017,0.87,2,2017,2017-06-30
+GIS,General Mills,Net Positivity,CQ22017,1.54,2,2017,2017-06-30
+HSY,Hershey Company,Net Positivity,CQ22017,1.13,2,2017,2017-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22017,1.29,2,2017,2017-06-30
+KR,Kroger,Net Positivity,CQ22017,1.49,2,2017,2017-06-30
+MKC,McCormick & Company,Net Positivity,CQ22017,1.01,2,2017,2017-06-30
+PEP,PepsiCo,Net Positivity,CQ22017,1.1,2,2017,2017-06-30
+PG,Procter & Gamble,Net Positivity,CQ22017,1.56,2,2017,2017-06-30
+SYY,Sysco,Net Positivity,CQ22017,1.63,2,2017,2017-06-30
+WMT,Walmart,Net Positivity,CQ22017,1.42,2,2017,2017-06-30
+APA,APA Corporation,Net Positivity,CQ22017,0.84,2,2017,2017-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22017,,2,2017,2017-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22017,1.31,2,2017,2017-06-30
+EOG,EOG Resources,Net Positivity,CQ22017,1.61,2,2017,2017-06-30
+XOM,ExxonMobil,Net Positivity,CQ22017,0.98,2,2017,2017-06-30
+HAL,Halliburton,Net Positivity,CQ22017,0.74,2,2017,2017-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22017,1.37,2,2017,2017-06-30
+SLB,Schlumberger,Net Positivity,CQ22017,0.74,2,2017,2017-06-30
+VLO,Valero Energy,Net Positivity,CQ22017,0.46,2,2017,2017-06-30
+AFL,Aflac,Net Positivity,CQ22017,0.88,2,2017,2017-06-30
+ALL,Allstate,Net Positivity,CQ22017,0.37,2,2017,2017-06-30
+AXP,American Express,Net Positivity,CQ22017,1.53,2,2017,2017-06-30
+AIG,American International Group,Net Positivity,CQ22017,0.32,2,2017,2017-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22017,1.18,2,2017,2017-06-30
+AON,Aon plc,Net Positivity,CQ22017,1.55,2,2017,2017-06-30
+BK,BNY Mellon,Net Positivity,CQ22017,1.13,2,2017,2017-06-30
+BAC,Bank of America,Net Positivity,CQ22017,1.22,2,2017,2017-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22017,,2,2017,2017-06-30
+BLK,BlackRock,Net Positivity,CQ22017,1.51,2,2017,2017-06-30
+CME,CME Group,Net Positivity,CQ22017,1.09,2,2017,2017-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22017,,2,2017,2017-06-30
+CB,Chubb Limited,Net Positivity,CQ22017,0.15,2,2017,2017-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22017,-0.25,2,2017,2017-06-30
+C,Citigroup,Net Positivity,CQ22017,0.79,2,2017,2017-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22017,1.73,2,2017,2017-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22017,1.12,2,2017,2017-06-30
+FISV,Fiserv,Net Positivity,CQ22017,2.02,2,2017,2017-06-30
+GS,Goldman Sachs,Net Positivity,CQ22017,0.43,2,2017,2017-06-30
+HIG,Hartford Financial,Net Positivity,CQ22017,0.74,2,2017,2017-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22017,0.75,2,2017,2017-06-30
+IVZ,Invesco,Net Positivity,CQ22017,1.25,2,2017,2017-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22017,0.41,2,2017,2017-06-30
+KEY,KeyCorp,Net Positivity,CQ22017,1.22,2,2017,2017-06-30
+MA,Mastercard,Net Positivity,CQ22017,0.79,2,2017,2017-06-30
+MET,MetLife,Net Positivity,CQ22017,0.64,2,2017,2017-06-30
+MS,Morgan Stanley,Net Positivity,CQ22017,0.81,2,2017,2017-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22017,1.28,2,2017,2017-06-30
+NTRS,Northern Trust,Net Positivity,CQ22017,0.77,2,2017,2017-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22017,0.84,2,2017,2017-06-30
+PRU,Prudential Financial,Net Positivity,CQ22017,1.26,2,2017,2017-06-30
+RF,Regions Financial,Net Positivity,CQ22017,0.72,2,2017,2017-06-30
+SPGI,S&P Global,Net Positivity,CQ22017,0.94,2,2017,2017-06-30
+STT,State Street,Net Positivity,CQ22017,1.05,2,2017,2017-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22017,,2,2017,2017-06-30
+TRV,Travelers Companies,Net Positivity,CQ22017,0.66,2,2017,2017-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22017,1.26,2,2017,2017-06-30
+V,Visa,Net Positivity,CQ22017,1.04,2,2017,2017-06-30
+WFC,Wells Fargo,Net Positivity,CQ22017,0.42,2,2017,2017-06-30
+ABBV,AbbVie,Net Positivity,CQ22017,1.22,2,2017,2017-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22017,0.8,2,2017,2017-06-30
+A,Agilent Technologies,Net Positivity,CQ22017,1.17,2,2017,2017-06-30
+AMGN,Amgen,Net Positivity,CQ22017,1.03,2,2017,2017-06-30
+BAX,Baxter International,Net Positivity,CQ22017,1.59,2,2017,2017-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22017,1.8,2,2017,2017-06-30
+BIIB,Biogen,Net Positivity,CQ22017,1.22,2,2017,2017-06-30
+BSX,Boston Scientific,Net Positivity,CQ22017,1.03,2,2017,2017-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22017,1.41,2,2017,2017-06-30
+CVS,CVS Health,Net Positivity,CQ22017,0.81,2,2017,2017-06-30
+COR,Cencora,Net Positivity,CQ22017,,2,2017,2017-06-30
+CI,Cigna,Net Positivity,CQ22017,1.85,2,2017,2017-06-30
+DVA,DaVita,Net Positivity,CQ22017,0.14,2,2017,2017-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22017,1.72,2,2017,2017-06-30
+LLY,Eli Lilly,Net Positivity,CQ22017,1.09,2,2017,2017-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22017,0.72,2,2017,2017-06-30
+HUM,Humana,Net Positivity,CQ22017,0.8,2,2017,2017-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22017,0.98,2,2017,2017-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22017,0.4,2,2017,2017-06-30
+LH,Labcorp,Net Positivity,CQ22017,0.95,2,2017,2017-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22017,0.4,2,2017,2017-06-30
+MDT,Medtronic,Net Positivity,CQ22017,1.19,2,2017,2017-06-30
+MRK,Merck & Co.,Net Positivity,CQ22017,0.75,2,2017,2017-06-30
+PFE,Pfizer,Net Positivity,CQ22017,0.88,2,2017,2017-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22017,2.24,2,2017,2017-06-30
+WAT,Waters Corporation,Net Positivity,CQ22017,1.83,2,2017,2017-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22017,1.28,2,2017,2017-06-30
+MMM,3M,Net Positivity,CQ22017,1.05,2,2017,2017-06-30
+AME,Ametek,Net Positivity,CQ22017,2.32,2,2017,2017-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22017,0.41,2,2017,2017-06-30
+BA,Boeing,Net Positivity,CQ22017,1.58,2,2017,2017-06-30
+CSX,CSX Corporation,Net Positivity,CQ22017,1.25,2,2017,2017-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22017,0.72,2,2017,2017-06-30
+CTAS,Cintas,Net Positivity,CQ22017,,2,2017,2017-06-30
+CMI,Cummins,Net Positivity,CQ22017,1.02,2,2017,2017-06-30
+DE,Deere & Company,Net Positivity,CQ22017,1.29,2,2017,2017-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22017,0.34,2,2017,2017-06-30
+EMR,Emerson Electric,Net Positivity,CQ22017,1.02,2,2017,2017-06-30
+EFX,Equifax,Net Positivity,CQ22017,1.25,2,2017,2017-06-30
+EXPD,Expeditors International,Net Positivity,CQ22017,,2,2017,2017-06-30
+FDX,FedEx,Net Positivity,CQ22017,1.75,2,2017,2017-06-30
+GE,GE Aerospace,Net Positivity,CQ22017,0.54,2,2017,2017-06-30
+GD,General Dynamics,Net Positivity,CQ22017,0.72,2,2017,2017-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22017,1.57,2,2017,2017-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22017,1.01,2,2017,2017-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22017,1.84,2,2017,2017-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22017,0.85,2,2017,2017-06-30
+PCAR,Paccar,Net Positivity,CQ22017,1.37,2,2017,2017-06-30
+RTX,RTX Corporation,Net Positivity,CQ22017,1.16,2,2017,2017-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22017,1.23,2,2017,2017-06-30
+ROP,Roper Technologies,Net Positivity,CQ22017,0.85,2,2017,2017-06-30
+SNA,Snap-on,Net Positivity,CQ22017,1.43,2,2017,2017-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22017,1.73,2,2017,2017-06-30
+UPS,United Parcel Service,Net Positivity,CQ22017,1.73,2,2017,2017-06-30
+WM,Waste Management,Net Positivity,CQ22017,1.11,2,2017,2017-06-30
+ACN,Accenture,Net Positivity,CQ22017,1.45,2,2017,2017-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22017,2.38,2,2017,2017-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22017,0.64,2,2017,2017-06-30
+APH,Amphenol,Net Positivity,CQ22017,1.54,2,2017,2017-06-30
+ADI,Analog Devices,Net Positivity,CQ22017,1.7,2,2017,2017-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22017,1.82,2,2017,2017-06-30
+AMAT,Applied Materials,Net Positivity,CQ22017,2.02,2,2017,2017-06-30
+ADSK,Autodesk,Net Positivity,CQ22017,0.84,2,2017,2017-06-30
+AVGO,Broadcom,Net Positivity,CQ22017,0.28,2,2017,2017-06-30
+CSCO,Cisco,Net Positivity,CQ22017,0.62,2,2017,2017-06-30
+CTSH,Cognizant,Net Positivity,CQ22017,1.06,2,2017,2017-06-30
+HPQ,HP Inc.,Net Positivity,CQ22017,1.68,2,2017,2017-06-30
+IBM,IBM,Net Positivity,CQ22017,0.99,2,2017,2017-06-30
+INTC,Intel,Net Positivity,CQ22017,1.38,2,2017,2017-06-30
+INTU,Intuit,Net Positivity,CQ22017,0.99,2,2017,2017-06-30
+LRCX,Lam Research,Net Positivity,CQ22017,1.0,2,2017,2017-06-30
+MU,Micron Technology,Net Positivity,CQ22017,1.92,2,2017,2017-06-30
+MSFT,Microsoft,Net Positivity,CQ22017,1.14,2,2017,2017-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22017,0.64,2,2017,2017-06-30
+NTAP,NetApp,Net Positivity,CQ22017,1.39,2,2017,2017-06-30
+NVDA,Nvidia,Net Positivity,CQ22017,1.06,2,2017,2017-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22017,0.39,2,2017,2017-06-30
+TXN,Texas Instruments,Net Positivity,CQ22017,1.19,2,2017,2017-06-30
+APD,Air Products,Net Positivity,CQ22017,0.9,2,2017,2017-06-30
+AVY,Avery Dennison,Net Positivity,CQ22017,0.75,2,2017,2017-06-30
+ECL,Ecolab,Net Positivity,CQ22017,0.78,2,2017,2017-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22017,0.71,2,2017,2017-06-30
+IP,International Paper,Net Positivity,CQ22017,0.44,2,2017,2017-06-30
+LIN,Linde plc,Net Positivity,CQ22017,0.71,2,2017,2017-06-30
+NEM,Newmont,Net Positivity,CQ22017,1.41,2,2017,2017-06-30
+NUE,Nucor,Net Positivity,CQ22017,1.73,2,2017,2017-06-30
+AMT,American Tower,Net Positivity,CQ22017,1.19,2,2017,2017-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22017,0.19,2,2017,2017-06-30
+EQR,Equity Residential,Net Positivity,CQ22017,0.78,2,2017,2017-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22017,0.72,2,2017,2017-06-30
+IRM,Iron Mountain,Net Positivity,CQ22017,1.1,2,2017,2017-06-30
+PLD,Prologis,Net Positivity,CQ22017,0.54,2,2017,2017-06-30
+VTR,Ventas,Net Positivity,CQ22017,2.09,2,2017,2017-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22017,1.47,2,2017,2017-06-30
+AES,AES Corporation,Net Positivity,CQ22017,1.04,2,2017,2017-06-30
+AEE,Ameren,Net Positivity,CQ22017,0.69,2,2017,2017-06-30
+AEP,American Electric Power,Net Positivity,CQ22017,0.86,2,2017,2017-06-30
+CMS,CMS Energy,Net Positivity,CQ22017,1.94,2,2017,2017-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22017,1.11,2,2017,2017-06-30
+DUK,Duke Energy,Net Positivity,CQ22017,1.17,2,2017,2017-06-30
+EIX,Edison International,Net Positivity,CQ22017,0.26,2,2017,2017-06-30
+ETR,Entergy,Net Positivity,CQ22017,0.57,2,2017,2017-06-30
+EXC,Exelon,Net Positivity,CQ22017,0.03,2,2017,2017-06-30
+NEE,NextEra Energy,Net Positivity,CQ22017,0.98,2,2017,2017-06-30
+SO,Southern Company,Net Positivity,CQ22017,0.34,2,2017,2017-06-30
+XEL,Xcel Energy,Net Positivity,CQ22017,0.44,2,2017,2017-06-30
+T,AT&T,Numeric Transeprency,CQ22017,1.43,2,2017,2017-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22017,1.33,2,2017,2017-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22017,,2,2017,2017-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22017,1.46,2,2017,2017-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22017,0.93,2,2017,2017-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22017,2.82,2,2017,2017-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22017,2.83,2,2017,2017-06-30
+VZ,Verizon,Numeric Transeprency,CQ22017,1.52,2,2017,2017-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22017,1.06,2,2017,2017-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22017,1.95,2,2017,2017-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22017,1.8,2,2017,2017-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22017,1.33,2,2017,2017-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22017,2.48,2,2017,2017-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22017,2.66,2,2017,2017-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22017,1.49,2,2017,2017-06-30
+GM,General Motors,Numeric Transeprency,CQ22017,2.27,2,2017,2017-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22017,3.28,2,2017,2017-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22017,1.94,2,2017,2017-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22017,2.26,2,2017,2017-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22017,1.21,2,2017,2017-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22017,1.97,2,2017,2017-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22017,2.09,2,2017,2017-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22017,2.05,2,2017,2017-06-30
+TGT,Target,Numeric Transeprency,CQ22017,0.96,2,2017,2017-06-30
+MO,Altria,Numeric Transeprency,CQ22017,1.33,2,2017,2017-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22017,2.24,2,2017,2017-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22017,2.33,2,2017,2017-06-30
+CLX,Clorox,Numeric Transeprency,CQ22017,1.2,2,2017,2017-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22017,1.66,2,2017,2017-06-30
+COST,Costco,Numeric Transeprency,CQ22017,4.71,2,2017,2017-06-30
+GIS,General Mills,Numeric Transeprency,CQ22017,2.84,2,2017,2017-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22017,2.02,2,2017,2017-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22017,1.27,2,2017,2017-06-30
+KR,Kroger,Numeric Transeprency,CQ22017,0.98,2,2017,2017-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22017,2.25,2,2017,2017-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22017,1.47,2,2017,2017-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22017,1.75,2,2017,2017-06-30
+SYY,Sysco,Numeric Transeprency,CQ22017,1.1,2,2017,2017-06-30
+WMT,Walmart,Numeric Transeprency,CQ22017,3.09,2,2017,2017-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22017,2.3,2,2017,2017-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22017,,2,2017,2017-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22017,1.8,2,2017,2017-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22017,2.68,2,2017,2017-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22017,2.18,2,2017,2017-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22017,1.09,2,2017,2017-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22017,2.5,2,2017,2017-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22017,1.65,2,2017,2017-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22017,1.85,2,2017,2017-06-30
+AFL,Aflac,Numeric Transeprency,CQ22017,1.71,2,2017,2017-06-30
+ALL,Allstate,Numeric Transeprency,CQ22017,2.39,2,2017,2017-06-30
+AXP,American Express,Numeric Transeprency,CQ22017,2.2,2,2017,2017-06-30
+AIG,American International Group,Numeric Transeprency,CQ22017,2.95,2,2017,2017-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22017,1.9,2,2017,2017-06-30
+AON,Aon plc,Numeric Transeprency,CQ22017,3.16,2,2017,2017-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22017,2.16,2,2017,2017-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22017,3.53,2,2017,2017-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22017,,2,2017,2017-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22017,1.72,2,2017,2017-06-30
+CME,CME Group,Numeric Transeprency,CQ22017,1.78,2,2017,2017-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22017,,2,2017,2017-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22017,2.36,2,2017,2017-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22017,2.3,2,2017,2017-06-30
+C,Citigroup,Numeric Transeprency,CQ22017,2.64,2,2017,2017-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22017,2.33,2,2017,2017-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22017,3.14,2,2017,2017-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22017,2.83,2,2017,2017-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22017,2.06,2,2017,2017-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22017,2.91,2,2017,2017-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22017,1.53,2,2017,2017-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22017,1.59,2,2017,2017-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22017,2.3,2,2017,2017-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22017,3.12,2,2017,2017-06-30
+MA,Mastercard,Numeric Transeprency,CQ22017,1.74,2,2017,2017-06-30
+MET,MetLife,Numeric Transeprency,CQ22017,4.01,2,2017,2017-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22017,1.74,2,2017,2017-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22017,2.53,2,2017,2017-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22017,4.17,2,2017,2017-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22017,2.58,2,2017,2017-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22017,2.33,2,2017,2017-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22017,2.68,2,2017,2017-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22017,2.38,2,2017,2017-06-30
+STT,State Street,Numeric Transeprency,CQ22017,2.36,2,2017,2017-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22017,,2,2017,2017-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22017,2.08,2,2017,2017-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22017,2.15,2,2017,2017-06-30
+V,Visa,Numeric Transeprency,CQ22017,1.77,2,2017,2017-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22017,2.22,2,2017,2017-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22017,1.67,2,2017,2017-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22017,1.22,2,2017,2017-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22017,1.54,2,2017,2017-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22017,1.81,2,2017,2017-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22017,2.44,2,2017,2017-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22017,2.55,2,2017,2017-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22017,2.23,2,2017,2017-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22017,3.79,2,2017,2017-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22017,0.96,2,2017,2017-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22017,2.02,2,2017,2017-06-30
+COR,Cencora,Numeric Transeprency,CQ22017,,2,2017,2017-06-30
+CI,Cigna,Numeric Transeprency,CQ22017,2.38,2,2017,2017-06-30
+DVA,DaVita,Numeric Transeprency,CQ22017,2.32,2,2017,2017-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22017,1.13,2,2017,2017-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22017,1.96,2,2017,2017-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22017,2.42,2,2017,2017-06-30
+HUM,Humana,Numeric Transeprency,CQ22017,1.62,2,2017,2017-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22017,3.15,2,2017,2017-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22017,3.42,2,2017,2017-06-30
+LH,Labcorp,Numeric Transeprency,CQ22017,2.26,2,2017,2017-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22017,2.44,2,2017,2017-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22017,2.3,2,2017,2017-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22017,1.48,2,2017,2017-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22017,2.26,2,2017,2017-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22017,2.68,2,2017,2017-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22017,1.82,2,2017,2017-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22017,2.59,2,2017,2017-06-30
+MMM,3M,Numeric Transeprency,CQ22017,4.06,2,2017,2017-06-30
+AME,Ametek,Numeric Transeprency,CQ22017,2.8,2,2017,2017-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22017,1.63,2,2017,2017-06-30
+BA,Boeing,Numeric Transeprency,CQ22017,2.53,2,2017,2017-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22017,1.1,2,2017,2017-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22017,2.38,2,2017,2017-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22017,,2,2017,2017-06-30
+CMI,Cummins,Numeric Transeprency,CQ22017,2.94,2,2017,2017-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22017,2.1,2,2017,2017-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22017,2.14,2,2017,2017-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22017,2.0,2,2017,2017-06-30
+EFX,Equifax,Numeric Transeprency,CQ22017,3.17,2,2017,2017-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22017,,2,2017,2017-06-30
+FDX,FedEx,Numeric Transeprency,CQ22017,2.92,2,2017,2017-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22017,6.51,2,2017,2017-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22017,3.38,2,2017,2017-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22017,3.25,2,2017,2017-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22017,1.9,2,2017,2017-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22017,2.0,2,2017,2017-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22017,1.44,2,2017,2017-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22017,2.24,2,2017,2017-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22017,3.04,2,2017,2017-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22017,2.13,2,2017,2017-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22017,3.09,2,2017,2017-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22017,3.27,2,2017,2017-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22017,2.26,2,2017,2017-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22017,1.73,2,2017,2017-06-30
+WM,Waste Management,Numeric Transeprency,CQ22017,2.72,2,2017,2017-06-30
+ACN,Accenture,Numeric Transeprency,CQ22017,2.62,2,2017,2017-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22017,1.92,2,2017,2017-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22017,2.22,2,2017,2017-06-30
+APH,Amphenol,Numeric Transeprency,CQ22017,2.16,2,2017,2017-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22017,1.9,2,2017,2017-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22017,3.19,2,2017,2017-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22017,2.91,2,2017,2017-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22017,1.14,2,2017,2017-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22017,1.94,2,2017,2017-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22017,2.39,2,2017,2017-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22017,1.76,2,2017,2017-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22017,1.92,2,2017,2017-06-30
+IBM,IBM,Numeric Transeprency,CQ22017,1.58,2,2017,2017-06-30
+INTC,Intel,Numeric Transeprency,CQ22017,2.73,2,2017,2017-06-30
+INTU,Intuit,Numeric Transeprency,CQ22017,2.27,2,2017,2017-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22017,2.28,2,2017,2017-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22017,1.98,2,2017,2017-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22017,2.67,2,2017,2017-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22017,2.54,2,2017,2017-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22017,2.24,2,2017,2017-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22017,1.77,2,2017,2017-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22017,3.21,2,2017,2017-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22017,2.66,2,2017,2017-06-30
+APD,Air Products,Numeric Transeprency,CQ22017,2.57,2,2017,2017-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22017,1.6,2,2017,2017-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22017,1.01,2,2017,2017-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22017,1.79,2,2017,2017-06-30
+IP,International Paper,Numeric Transeprency,CQ22017,1.86,2,2017,2017-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22017,1.68,2,2017,2017-06-30
+NEM,Newmont,Numeric Transeprency,CQ22017,2.86,2,2017,2017-06-30
+NUE,Nucor,Numeric Transeprency,CQ22017,1.18,2,2017,2017-06-30
+AMT,American Tower,Numeric Transeprency,CQ22017,2.63,2,2017,2017-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22017,2.2,2,2017,2017-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22017,2.34,2,2017,2017-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22017,2.48,2,2017,2017-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22017,2.5,2,2017,2017-06-30
+PLD,Prologis,Numeric Transeprency,CQ22017,2.63,2,2017,2017-06-30
+VTR,Ventas,Numeric Transeprency,CQ22017,2.38,2,2017,2017-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22017,2.33,2,2017,2017-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22017,4.2,2,2017,2017-06-30
+AEE,Ameren,Numeric Transeprency,CQ22017,2.65,2,2017,2017-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22017,2.27,2,2017,2017-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22017,1.98,2,2017,2017-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22017,3.87,2,2017,2017-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22017,1.91,2,2017,2017-06-30
+EIX,Edison International,Numeric Transeprency,CQ22017,2.32,2,2017,2017-06-30
+ETR,Entergy,Numeric Transeprency,CQ22017,1.82,2,2017,2017-06-30
+EXC,Exelon,Numeric Transeprency,CQ22017,2.66,2,2017,2017-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22017,3.4,2,2017,2017-06-30
+SO,Southern Company,Numeric Transeprency,CQ22017,1.83,2,2017,2017-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22017,2.33,2,2017,2017-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22017,28.57,2,2017,2017-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22017,22.5,2,2017,2017-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22017,,2,2017,2017-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22017,23.26,2,2017,2017-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22017,4.88,2,2017,2017-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22017,30.77,2,2017,2017-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22017,26.32,2,2017,2017-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22017,33.33,2,2017,2017-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22017,32.56,2,2017,2017-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22017,27.59,2,2017,2017-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22017,34.48,2,2017,2017-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22017,44.83,2,2017,2017-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22017,20.69,2,2017,2017-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22017,61.54,2,2017,2017-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22017,39.13,2,2017,2017-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22017,29.17,2,2017,2017-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22017,53.85,2,2017,2017-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22017,41.67,2,2017,2017-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22017,21.88,2,2017,2017-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22017,41.94,2,2017,2017-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22017,11.11,2,2017,2017-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22017,48.39,2,2017,2017-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22017,21.88,2,2017,2017-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22017,21.88,2,2017,2017-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22017,57.14,2,2017,2017-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22017,66.67,2,2017,2017-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22017,31.25,2,2017,2017-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22017,44.44,2,2017,2017-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22017,50.0,2,2017,2017-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22017,48.39,2,2017,2017-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22017,28.57,2,2017,2017-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22017,60.0,2,2017,2017-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22017,62.5,2,2017,2017-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22017,32.14,2,2017,2017-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22017,53.85,2,2017,2017-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22017,50.0,2,2017,2017-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22017,69.57,2,2017,2017-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22017,75.0,2,2017,2017-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22017,0.0,2,2017,2017-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22017,32.14,2,2017,2017-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22017,,2,2017,2017-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22017,20.0,2,2017,2017-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22017,18.18,2,2017,2017-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22017,60.0,2,2017,2017-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22017,21.05,2,2017,2017-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22017,36.0,2,2017,2017-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22017,18.42,2,2017,2017-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22017,42.86,2,2017,2017-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22017,47.06,2,2017,2017-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22017,26.32,2,2017,2017-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22017,31.03,2,2017,2017-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22017,41.18,2,2017,2017-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22017,60.0,2,2017,2017-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22017,41.18,2,2017,2017-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22017,41.18,2,2017,2017-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22017,37.04,2,2017,2017-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22017,,2,2017,2017-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22017,46.67,2,2017,2017-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22017,56.25,2,2017,2017-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22017,,2,2017,2017-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22017,47.37,2,2017,2017-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22017,40.0,2,2017,2017-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22017,48.0,2,2017,2017-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22017,44.0,2,2017,2017-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22017,28.57,2,2017,2017-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22017,24.0,2,2017,2017-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22017,35.71,2,2017,2017-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22017,53.33,2,2017,2017-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22017,37.5,2,2017,2017-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22017,80.0,2,2017,2017-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22017,38.46,2,2017,2017-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22017,33.33,2,2017,2017-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22017,18.18,2,2017,2017-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22017,35.29,2,2017,2017-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22017,38.46,2,2017,2017-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22017,53.33,2,2017,2017-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22017,50.0,2,2017,2017-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22017,33.33,2,2017,2017-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22017,29.41,2,2017,2017-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22017,50.0,2,2017,2017-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22017,50.0,2,2017,2017-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22017,52.94,2,2017,2017-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22017,,2,2017,2017-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22017,52.38,2,2017,2017-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22017,28.57,2,2017,2017-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22017,32.35,2,2017,2017-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22017,39.29,2,2017,2017-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22017,40.0,2,2017,2017-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22017,36.84,2,2017,2017-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22017,50.0,2,2017,2017-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22017,63.64,2,2017,2017-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22017,56.25,2,2017,2017-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22017,58.82,2,2017,2017-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22017,43.48,2,2017,2017-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22017,28.0,2,2017,2017-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22017,50.0,2,2017,2017-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22017,52.0,2,2017,2017-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22017,,2,2017,2017-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22017,66.67,2,2017,2017-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22017,7.14,2,2017,2017-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22017,45.0,2,2017,2017-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22017,68.18,2,2017,2017-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22017,41.67,2,2017,2017-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22017,47.37,2,2017,2017-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22017,52.94,2,2017,2017-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22017,38.1,2,2017,2017-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22017,47.83,2,2017,2017-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22017,55.56,2,2017,2017-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22017,40.74,2,2017,2017-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22017,68.42,2,2017,2017-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22017,70.0,2,2017,2017-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22017,43.75,2,2017,2017-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22017,61.11,2,2017,2017-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22017,25.0,2,2017,2017-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22017,56.25,2,2017,2017-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22017,53.33,2,2017,2017-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22017,31.58,2,2017,2017-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22017,46.15,2,2017,2017-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22017,65.52,2,2017,2017-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22017,34.78,2,2017,2017-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22017,,2,2017,2017-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22017,29.17,2,2017,2017-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22017,54.17,2,2017,2017-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22017,41.67,2,2017,2017-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22017,45.45,2,2017,2017-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22017,62.5,2,2017,2017-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22017,,2,2017,2017-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22017,0.0,2,2017,2017-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22017,33.33,2,2017,2017-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22017,52.63,2,2017,2017-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22017,57.89,2,2017,2017-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22017,50.0,2,2017,2017-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22017,48.28,2,2017,2017-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22017,55.0,2,2017,2017-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22017,22.73,2,2017,2017-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22017,61.9,2,2017,2017-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22017,47.62,2,2017,2017-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22017,35.71,2,2017,2017-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22017,77.78,2,2017,2017-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22017,38.46,2,2017,2017-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22017,38.46,2,2017,2017-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22017,76.92,2,2017,2017-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22017,24.14,2,2017,2017-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22017,30.0,2,2017,2017-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22017,45.45,2,2017,2017-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22017,69.23,2,2017,2017-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22017,33.33,2,2017,2017-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22017,12.2,2,2017,2017-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22017,60.87,2,2017,2017-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22017,34.78,2,2017,2017-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22017,30.3,2,2017,2017-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22017,34.38,2,2017,2017-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22017,25.0,2,2017,2017-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22017,38.1,2,2017,2017-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22017,45.45,2,2017,2017-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22017,22.5,2,2017,2017-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22017,63.16,2,2017,2017-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22017,66.67,2,2017,2017-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22017,36.67,2,2017,2017-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22017,25.81,2,2017,2017-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22017,50.0,2,2017,2017-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22017,66.67,2,2017,2017-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22017,26.32,2,2017,2017-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22017,24.32,2,2017,2017-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22017,29.73,2,2017,2017-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22017,52.63,2,2017,2017-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22017,70.0,2,2017,2017-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22017,66.67,2,2017,2017-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22017,30.77,2,2017,2017-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22017,70.59,2,2017,2017-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22017,64.29,2,2017,2017-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22017,31.25,2,2017,2017-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22017,43.75,2,2017,2017-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22017,25.0,2,2017,2017-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22017,25.0,2,2017,2017-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22017,40.0,2,2017,2017-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22017,63.64,2,2017,2017-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22017,25.0,2,2017,2017-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22017,40.0,2,2017,2017-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22017,42.86,2,2017,2017-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22017,72.73,2,2017,2017-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22017,46.15,2,2017,2017-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22017,8.33,2,2017,2017-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22017,45.0,2,2017,2017-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22017,31.25,2,2017,2017-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22017,29.41,2,2017,2017-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22017,30.0,2,2017,2017-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22017,61.11,2,2017,2017-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22017,35.0,2,2017,2017-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22017,30.0,2,2017,2017-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22017,28.57,2,2017,2017-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22017,50.0,2,2017,2017-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22017,35.29,2,2017,2017-06-30
+T,AT&T,Language Complexity,CQ22017,11.83,2,2017,2017-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22017,12.27,2,2017,2017-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22017,,2,2017,2017-06-30
+META,Meta Platforms,Language Complexity,CQ22017,12.43,2,2017,2017-06-30
+NFLX,Netflix,Language Complexity,CQ22017,11.32,2,2017,2017-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22017,15.01,2,2017,2017-06-30
+OMC,Omnicom Group,Language Complexity,CQ22017,13.88,2,2017,2017-06-30
+VZ,Verizon,Language Complexity,CQ22017,12.82,2,2017,2017-06-30
+AMZN,Amazon,Language Complexity,CQ22017,12.15,2,2017,2017-06-30
+AZO,AutoZone,Language Complexity,CQ22017,13.54,2,2017,2017-06-30
+BBY,Best Buy,Language Complexity,CQ22017,13.2,2,2017,2017-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22017,11.36,2,2017,2017-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22017,13.32,2,2017,2017-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22017,10.33,2,2017,2017-06-30
+F,Ford Motor Company,Language Complexity,CQ22017,11.07,2,2017,2017-06-30
+GM,General Motors,Language Complexity,CQ22017,13.36,2,2017,2017-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22017,12.61,2,2017,2017-06-30
+HAS,Hasbro,Language Complexity,CQ22017,11.73,2,2017,2017-06-30
+LOW,Lowe's,Language Complexity,CQ22017,13.59,2,2017,2017-06-30
+MCD,McDonald's,Language Complexity,CQ22017,12.5,2,2017,2017-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22017,13.47,2,2017,2017-06-30
+ROST,Ross Stores,Language Complexity,CQ22017,11.08,2,2017,2017-06-30
+TJX,TJX Companies,Language Complexity,CQ22017,11.2,2,2017,2017-06-30
+TGT,Target,Language Complexity,CQ22017,13.5,2,2017,2017-06-30
+MO,Altria,Language Complexity,CQ22017,11.23,2,2017,2017-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22017,11.64,2,2017,2017-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22017,13.15,2,2017,2017-06-30
+CLX,Clorox,Language Complexity,CQ22017,11.62,2,2017,2017-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22017,12.9,2,2017,2017-06-30
+COST,Costco,Language Complexity,CQ22017,9.91,2,2017,2017-06-30
+GIS,General Mills,Language Complexity,CQ22017,11.92,2,2017,2017-06-30
+HSY,Hershey Company,Language Complexity,CQ22017,11.75,2,2017,2017-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22017,11.13,2,2017,2017-06-30
+KR,Kroger,Language Complexity,CQ22017,11.97,2,2017,2017-06-30
+MKC,McCormick & Company,Language Complexity,CQ22017,12.43,2,2017,2017-06-30
+PEP,PepsiCo,Language Complexity,CQ22017,13.95,2,2017,2017-06-30
+PG,Procter & Gamble,Language Complexity,CQ22017,12.91,2,2017,2017-06-30
+SYY,Sysco,Language Complexity,CQ22017,13.37,2,2017,2017-06-30
+WMT,Walmart,Language Complexity,CQ22017,14.83,2,2017,2017-06-30
+APA,APA Corporation,Language Complexity,CQ22017,11.92,2,2017,2017-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22017,,2,2017,2017-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22017,13.13,2,2017,2017-06-30
+EOG,EOG Resources,Language Complexity,CQ22017,12.82,2,2017,2017-06-30
+XOM,ExxonMobil,Language Complexity,CQ22017,11.71,2,2017,2017-06-30
+HAL,Halliburton,Language Complexity,CQ22017,13.04,2,2017,2017-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22017,13.9,2,2017,2017-06-30
+SLB,Schlumberger,Language Complexity,CQ22017,14.43,2,2017,2017-06-30
+VLO,Valero Energy,Language Complexity,CQ22017,11.15,2,2017,2017-06-30
+AFL,Aflac,Language Complexity,CQ22017,11.73,2,2017,2017-06-30
+ALL,Allstate,Language Complexity,CQ22017,12.57,2,2017,2017-06-30
+AXP,American Express,Language Complexity,CQ22017,13.18,2,2017,2017-06-30
+AIG,American International Group,Language Complexity,CQ22017,14.75,2,2017,2017-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22017,12.06,2,2017,2017-06-30
+AON,Aon plc,Language Complexity,CQ22017,12.88,2,2017,2017-06-30
+BK,BNY Mellon,Language Complexity,CQ22017,13.37,2,2017,2017-06-30
+BAC,Bank of America,Language Complexity,CQ22017,11.8,2,2017,2017-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22017,,2,2017,2017-06-30
+BLK,BlackRock,Language Complexity,CQ22017,14.8,2,2017,2017-06-30
+CME,CME Group,Language Complexity,CQ22017,10.83,2,2017,2017-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22017,,2,2017,2017-06-30
+CB,Chubb Limited,Language Complexity,CQ22017,11.28,2,2017,2017-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22017,11.48,2,2017,2017-06-30
+C,Citigroup,Language Complexity,CQ22017,12.31,2,2017,2017-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22017,11.59,2,2017,2017-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22017,13.34,2,2017,2017-06-30
+FISV,Fiserv,Language Complexity,CQ22017,11.8,2,2017,2017-06-30
+GS,Goldman Sachs,Language Complexity,CQ22017,11.51,2,2017,2017-06-30
+HIG,Hartford Financial,Language Complexity,CQ22017,12.05,2,2017,2017-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22017,13.14,2,2017,2017-06-30
+IVZ,Invesco,Language Complexity,CQ22017,12.28,2,2017,2017-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22017,12.05,2,2017,2017-06-30
+KEY,KeyCorp,Language Complexity,CQ22017,11.91,2,2017,2017-06-30
+MA,Mastercard,Language Complexity,CQ22017,11.66,2,2017,2017-06-30
+MET,MetLife,Language Complexity,CQ22017,13.51,2,2017,2017-06-30
+MS,Morgan Stanley,Language Complexity,CQ22017,12.25,2,2017,2017-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22017,15.23,2,2017,2017-06-30
+NTRS,Northern Trust,Language Complexity,CQ22017,12.81,2,2017,2017-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22017,10.73,2,2017,2017-06-30
+PRU,Prudential Financial,Language Complexity,CQ22017,13.79,2,2017,2017-06-30
+RF,Regions Financial,Language Complexity,CQ22017,12.13,2,2017,2017-06-30
+SPGI,S&P Global,Language Complexity,CQ22017,12.6,2,2017,2017-06-30
+STT,State Street,Language Complexity,CQ22017,11.41,2,2017,2017-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22017,,2,2017,2017-06-30
+TRV,Travelers Companies,Language Complexity,CQ22017,13.0,2,2017,2017-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22017,11.02,2,2017,2017-06-30
+V,Visa,Language Complexity,CQ22017,12.28,2,2017,2017-06-30
+WFC,Wells Fargo,Language Complexity,CQ22017,12.6,2,2017,2017-06-30
+ABBV,AbbVie,Language Complexity,CQ22017,12.87,2,2017,2017-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22017,10.81,2,2017,2017-06-30
+A,Agilent Technologies,Language Complexity,CQ22017,11.31,2,2017,2017-06-30
+AMGN,Amgen,Language Complexity,CQ22017,14.07,2,2017,2017-06-30
+BAX,Baxter International,Language Complexity,CQ22017,11.9,2,2017,2017-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22017,12.0,2,2017,2017-06-30
+BIIB,Biogen,Language Complexity,CQ22017,12.59,2,2017,2017-06-30
+BSX,Boston Scientific,Language Complexity,CQ22017,12.17,2,2017,2017-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22017,12.48,2,2017,2017-06-30
+CVS,CVS Health,Language Complexity,CQ22017,12.16,2,2017,2017-06-30
+COR,Cencora,Language Complexity,CQ22017,,2,2017,2017-06-30
+CI,Cigna,Language Complexity,CQ22017,14.08,2,2017,2017-06-30
+DVA,DaVita,Language Complexity,CQ22017,10.39,2,2017,2017-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22017,12.94,2,2017,2017-06-30
+LLY,Eli Lilly,Language Complexity,CQ22017,11.27,2,2017,2017-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22017,12.06,2,2017,2017-06-30
+HUM,Humana,Language Complexity,CQ22017,12.53,2,2017,2017-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22017,12.93,2,2017,2017-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22017,13.04,2,2017,2017-06-30
+LH,Labcorp,Language Complexity,CQ22017,13.35,2,2017,2017-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22017,15.59,2,2017,2017-06-30
+MDT,Medtronic,Language Complexity,CQ22017,13.89,2,2017,2017-06-30
+MRK,Merck & Co.,Language Complexity,CQ22017,12.26,2,2017,2017-06-30
+PFE,Pfizer,Language Complexity,CQ22017,12.57,2,2017,2017-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22017,12.57,2,2017,2017-06-30
+WAT,Waters Corporation,Language Complexity,CQ22017,13.31,2,2017,2017-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22017,13.73,2,2017,2017-06-30
+MMM,3M,Language Complexity,CQ22017,11.01,2,2017,2017-06-30
+AME,Ametek,Language Complexity,CQ22017,11.63,2,2017,2017-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22017,12.89,2,2017,2017-06-30
+BA,Boeing,Language Complexity,CQ22017,12.96,2,2017,2017-06-30
+CSX,CSX Corporation,Language Complexity,CQ22017,10.75,2,2017,2017-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22017,12.21,2,2017,2017-06-30
+CTAS,Cintas,Language Complexity,CQ22017,,2,2017,2017-06-30
+CMI,Cummins,Language Complexity,CQ22017,12.41,2,2017,2017-06-30
+DE,Deere & Company,Language Complexity,CQ22017,11.43,2,2017,2017-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22017,10.94,2,2017,2017-06-30
+EMR,Emerson Electric,Language Complexity,CQ22017,9.53,2,2017,2017-06-30
+EFX,Equifax,Language Complexity,CQ22017,12.66,2,2017,2017-06-30
+EXPD,Expeditors International,Language Complexity,CQ22017,,2,2017,2017-06-30
+FDX,FedEx,Language Complexity,CQ22017,12.42,2,2017,2017-06-30
+GE,GE Aerospace,Language Complexity,CQ22017,10.43,2,2017,2017-06-30
+GD,General Dynamics,Language Complexity,CQ22017,11.49,2,2017,2017-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22017,10.75,2,2017,2017-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22017,11.92,2,2017,2017-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22017,12.6,2,2017,2017-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22017,12.74,2,2017,2017-06-30
+PCAR,Paccar,Language Complexity,CQ22017,10.14,2,2017,2017-06-30
+RTX,RTX Corporation,Language Complexity,CQ22017,10.6,2,2017,2017-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22017,10.45,2,2017,2017-06-30
+ROP,Roper Technologies,Language Complexity,CQ22017,12.04,2,2017,2017-06-30
+SNA,Snap-on,Language Complexity,CQ22017,11.42,2,2017,2017-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22017,13.41,2,2017,2017-06-30
+UPS,United Parcel Service,Language Complexity,CQ22017,12.57,2,2017,2017-06-30
+WM,Waste Management,Language Complexity,CQ22017,11.74,2,2017,2017-06-30
+ACN,Accenture,Language Complexity,CQ22017,14.54,2,2017,2017-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22017,14.88,2,2017,2017-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22017,12.93,2,2017,2017-06-30
+APH,Amphenol,Language Complexity,CQ22017,13.57,2,2017,2017-06-30
+ADI,Analog Devices,Language Complexity,CQ22017,12.41,2,2017,2017-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22017,11.87,2,2017,2017-06-30
+AMAT,Applied Materials,Language Complexity,CQ22017,11.16,2,2017,2017-06-30
+ADSK,Autodesk,Language Complexity,CQ22017,13.14,2,2017,2017-06-30
+AVGO,Broadcom,Language Complexity,CQ22017,10.72,2,2017,2017-06-30
+CSCO,Cisco,Language Complexity,CQ22017,12.11,2,2017,2017-06-30
+CTSH,Cognizant,Language Complexity,CQ22017,13.83,2,2017,2017-06-30
+HPQ,HP Inc.,Language Complexity,CQ22017,12.57,2,2017,2017-06-30
+IBM,IBM,Language Complexity,CQ22017,12.43,2,2017,2017-06-30
+INTC,Intel,Language Complexity,CQ22017,12.01,2,2017,2017-06-30
+INTU,Intuit,Language Complexity,CQ22017,11.22,2,2017,2017-06-30
+LRCX,Lam Research,Language Complexity,CQ22017,12.32,2,2017,2017-06-30
+MU,Micron Technology,Language Complexity,CQ22017,13.43,2,2017,2017-06-30
+MSFT,Microsoft,Language Complexity,CQ22017,13.41,2,2017,2017-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22017,11.49,2,2017,2017-06-30
+NTAP,NetApp,Language Complexity,CQ22017,12.63,2,2017,2017-06-30
+NVDA,Nvidia,Language Complexity,CQ22017,10.97,2,2017,2017-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22017,10.29,2,2017,2017-06-30
+TXN,Texas Instruments,Language Complexity,CQ22017,10.53,2,2017,2017-06-30
+APD,Air Products,Language Complexity,CQ22017,11.62,2,2017,2017-06-30
+AVY,Avery Dennison,Language Complexity,CQ22017,12.21,2,2017,2017-06-30
+ECL,Ecolab,Language Complexity,CQ22017,10.3,2,2017,2017-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22017,13.89,2,2017,2017-06-30
+IP,International Paper,Language Complexity,CQ22017,11.55,2,2017,2017-06-30
+LIN,Linde plc,Language Complexity,CQ22017,11.16,2,2017,2017-06-30
+NEM,Newmont,Language Complexity,CQ22017,11.85,2,2017,2017-06-30
+NUE,Nucor,Language Complexity,CQ22017,11.85,2,2017,2017-06-30
+AMT,American Tower,Language Complexity,CQ22017,14.71,2,2017,2017-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22017,11.2,2,2017,2017-06-30
+EQR,Equity Residential,Language Complexity,CQ22017,11.45,2,2017,2017-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22017,12.33,2,2017,2017-06-30
+IRM,Iron Mountain,Language Complexity,CQ22017,14.71,2,2017,2017-06-30
+PLD,Prologis,Language Complexity,CQ22017,10.43,2,2017,2017-06-30
+VTR,Ventas,Language Complexity,CQ22017,13.33,2,2017,2017-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22017,11.95,2,2017,2017-06-30
+AES,AES Corporation,Language Complexity,CQ22017,11.53,2,2017,2017-06-30
+AEE,Ameren,Language Complexity,CQ22017,14.13,2,2017,2017-06-30
+AEP,American Electric Power,Language Complexity,CQ22017,12.64,2,2017,2017-06-30
+CMS,CMS Energy,Language Complexity,CQ22017,12.03,2,2017,2017-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22017,13.12,2,2017,2017-06-30
+DUK,Duke Energy,Language Complexity,CQ22017,12.91,2,2017,2017-06-30
+EIX,Edison International,Language Complexity,CQ22017,12.57,2,2017,2017-06-30
+ETR,Entergy,Language Complexity,CQ22017,13.97,2,2017,2017-06-30
+EXC,Exelon,Language Complexity,CQ22017,12.2,2,2017,2017-06-30
+NEE,NextEra Energy,Language Complexity,CQ22017,14.5,2,2017,2017-06-30
+SO,Southern Company,Language Complexity,CQ22017,11.2,2,2017,2017-06-30
+XEL,Xcel Energy,Language Complexity,CQ22017,11.29,2,2017,2017-06-30
+T,AT&T,Net Positivity,CQ32017,1.42,3,2017,2017-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32017,1.8,3,2017,2017-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32017,,3,2017,2017-09-30
+META,Meta Platforms,Net Positivity,CQ32017,1.44,3,2017,2017-09-30
+NFLX,Netflix,Net Positivity,CQ32017,2.0,3,2017,2017-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32017,1.26,3,2017,2017-09-30
+OMC,Omnicom Group,Net Positivity,CQ32017,0.5,3,2017,2017-09-30
+VZ,Verizon,Net Positivity,CQ32017,1.05,3,2017,2017-09-30
+AMZN,Amazon,Net Positivity,CQ32017,0.85,3,2017,2017-09-30
+AZO,AutoZone,Net Positivity,CQ32017,1.06,3,2017,2017-09-30
+BBY,Best Buy,Net Positivity,CQ32017,1.89,3,2017,2017-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32017,1.25,3,2017,2017-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32017,1.25,3,2017,2017-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32017,1.27,3,2017,2017-09-30
+F,Ford Motor Company,Net Positivity,CQ32017,0.96,3,2017,2017-09-30
+GM,General Motors,Net Positivity,CQ32017,1.03,3,2017,2017-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32017,1.77,3,2017,2017-09-30
+HAS,Hasbro,Net Positivity,CQ32017,0.98,3,2017,2017-09-30
+LOW,Lowe's,Net Positivity,CQ32017,2.71,3,2017,2017-09-30
+MCD,McDonald's,Net Positivity,CQ32017,1.55,3,2017,2017-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32017,1.98,3,2017,2017-09-30
+ROST,Ross Stores,Net Positivity,CQ32017,0.73,3,2017,2017-09-30
+TJX,TJX Companies,Net Positivity,CQ32017,1.36,3,2017,2017-09-30
+TGT,Target,Net Positivity,CQ32017,1.92,3,2017,2017-09-30
+MO,Altria,Net Positivity,CQ32017,0.09,3,2017,2017-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32017,2.09,3,2017,2017-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32017,1.25,3,2017,2017-09-30
+CLX,Clorox,Net Positivity,CQ32017,1.95,3,2017,2017-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32017,1.51,3,2017,2017-09-30
+COST,Costco,Net Positivity,CQ32017,,3,2017,2017-09-30
+GIS,General Mills,Net Positivity,CQ32017,1.69,3,2017,2017-09-30
+HSY,Hershey Company,Net Positivity,CQ32017,1.5,3,2017,2017-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32017,0.83,3,2017,2017-09-30
+KR,Kroger,Net Positivity,CQ32017,1.49,3,2017,2017-09-30
+MKC,McCormick & Company,Net Positivity,CQ32017,1.4,3,2017,2017-09-30
+PEP,PepsiCo,Net Positivity,CQ32017,1.19,3,2017,2017-09-30
+PG,Procter & Gamble,Net Positivity,CQ32017,1.94,3,2017,2017-09-30
+SYY,Sysco,Net Positivity,CQ32017,1.7,3,2017,2017-09-30
+WMT,Walmart,Net Positivity,CQ32017,2.53,3,2017,2017-09-30
+APA,APA Corporation,Net Positivity,CQ32017,0.64,3,2017,2017-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32017,,3,2017,2017-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32017,0.58,3,2017,2017-09-30
+EOG,EOG Resources,Net Positivity,CQ32017,1.09,3,2017,2017-09-30
+XOM,ExxonMobil,Net Positivity,CQ32017,0.97,3,2017,2017-09-30
+HAL,Halliburton,Net Positivity,CQ32017,1.01,3,2017,2017-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32017,1.53,3,2017,2017-09-30
+SLB,Schlumberger,Net Positivity,CQ32017,0.41,3,2017,2017-09-30
+VLO,Valero Energy,Net Positivity,CQ32017,0.71,3,2017,2017-09-30
+AFL,Aflac,Net Positivity,CQ32017,1.36,3,2017,2017-09-30
+ALL,Allstate,Net Positivity,CQ32017,0.7,3,2017,2017-09-30
+AXP,American Express,Net Positivity,CQ32017,1.34,3,2017,2017-09-30
+AIG,American International Group,Net Positivity,CQ32017,1.18,3,2017,2017-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32017,1.37,3,2017,2017-09-30
+AON,Aon plc,Net Positivity,CQ32017,1.65,3,2017,2017-09-30
+BK,BNY Mellon,Net Positivity,CQ32017,1.31,3,2017,2017-09-30
+BAC,Bank of America,Net Positivity,CQ32017,0.94,3,2017,2017-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32017,,3,2017,2017-09-30
+BLK,BlackRock,Net Positivity,CQ32017,1.64,3,2017,2017-09-30
+CME,CME Group,Net Positivity,CQ32017,0.95,3,2017,2017-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32017,,3,2017,2017-09-30
+CB,Chubb Limited,Net Positivity,CQ32017,0.49,3,2017,2017-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32017,0.47,3,2017,2017-09-30
+C,Citigroup,Net Positivity,CQ32017,1.06,3,2017,2017-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32017,1.22,3,2017,2017-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32017,1.66,3,2017,2017-09-30
+FISV,Fiserv,Net Positivity,CQ32017,1.35,3,2017,2017-09-30
+GS,Goldman Sachs,Net Positivity,CQ32017,0.23,3,2017,2017-09-30
+HIG,Hartford Financial,Net Positivity,CQ32017,0.81,3,2017,2017-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32017,0.72,3,2017,2017-09-30
+IVZ,Invesco,Net Positivity,CQ32017,0.84,3,2017,2017-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32017,0.32,3,2017,2017-09-30
+KEY,KeyCorp,Net Positivity,CQ32017,1.04,3,2017,2017-09-30
+MA,Mastercard,Net Positivity,CQ32017,1.25,3,2017,2017-09-30
+MET,MetLife,Net Positivity,CQ32017,0.63,3,2017,2017-09-30
+MS,Morgan Stanley,Net Positivity,CQ32017,0.73,3,2017,2017-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32017,1.48,3,2017,2017-09-30
+NTRS,Northern Trust,Net Positivity,CQ32017,0.32,3,2017,2017-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32017,0.86,3,2017,2017-09-30
+PRU,Prudential Financial,Net Positivity,CQ32017,0.72,3,2017,2017-09-30
+RF,Regions Financial,Net Positivity,CQ32017,0.54,3,2017,2017-09-30
+SPGI,S&P Global,Net Positivity,CQ32017,0.92,3,2017,2017-09-30
+STT,State Street,Net Positivity,CQ32017,1.11,3,2017,2017-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32017,,3,2017,2017-09-30
+TRV,Travelers Companies,Net Positivity,CQ32017,0.46,3,2017,2017-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32017,0.95,3,2017,2017-09-30
+V,Visa,Net Positivity,CQ32017,1.23,3,2017,2017-09-30
+WFC,Wells Fargo,Net Positivity,CQ32017,0.5,3,2017,2017-09-30
+ABBV,AbbVie,Net Positivity,CQ32017,1.05,3,2017,2017-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32017,0.92,3,2017,2017-09-30
+A,Agilent Technologies,Net Positivity,CQ32017,1.33,3,2017,2017-09-30
+AMGN,Amgen,Net Positivity,CQ32017,1.17,3,2017,2017-09-30
+BAX,Baxter International,Net Positivity,CQ32017,1.61,3,2017,2017-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32017,1.63,3,2017,2017-09-30
+BIIB,Biogen,Net Positivity,CQ32017,2.01,3,2017,2017-09-30
+BSX,Boston Scientific,Net Positivity,CQ32017,1.19,3,2017,2017-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32017,1.25,3,2017,2017-09-30
+CVS,CVS Health,Net Positivity,CQ32017,0.82,3,2017,2017-09-30
+COR,Cencora,Net Positivity,CQ32017,,3,2017,2017-09-30
+CI,Cigna,Net Positivity,CQ32017,2.17,3,2017,2017-09-30
+DVA,DaVita,Net Positivity,CQ32017,-0.06,3,2017,2017-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32017,1.9,3,2017,2017-09-30
+LLY,Eli Lilly,Net Positivity,CQ32017,0.91,3,2017,2017-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32017,0.25,3,2017,2017-09-30
+HUM,Humana,Net Positivity,CQ32017,1.93,3,2017,2017-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32017,1.04,3,2017,2017-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32017,1.15,3,2017,2017-09-30
+LH,Labcorp,Net Positivity,CQ32017,1.41,3,2017,2017-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32017,1.31,3,2017,2017-09-30
+MDT,Medtronic,Net Positivity,CQ32017,0.7,3,2017,2017-09-30
+MRK,Merck & Co.,Net Positivity,CQ32017,1.07,3,2017,2017-09-30
+PFE,Pfizer,Net Positivity,CQ32017,0.92,3,2017,2017-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32017,2.1,3,2017,2017-09-30
+WAT,Waters Corporation,Net Positivity,CQ32017,1.73,3,2017,2017-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32017,0.28,3,2017,2017-09-30
+MMM,3M,Net Positivity,CQ32017,1.29,3,2017,2017-09-30
+AME,Ametek,Net Positivity,CQ32017,1.85,3,2017,2017-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32017,1.38,3,2017,2017-09-30
+BA,Boeing,Net Positivity,CQ32017,1.71,3,2017,2017-09-30
+CSX,CSX Corporation,Net Positivity,CQ32017,0.49,3,2017,2017-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32017,0.9,3,2017,2017-09-30
+CTAS,Cintas,Net Positivity,CQ32017,0.91,3,2017,2017-09-30
+CMI,Cummins,Net Positivity,CQ32017,0.97,3,2017,2017-09-30
+DE,Deere & Company,Net Positivity,CQ32017,0.93,3,2017,2017-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32017,-0.1,3,2017,2017-09-30
+EMR,Emerson Electric,Net Positivity,CQ32017,1.3,3,2017,2017-09-30
+EFX,Equifax,Net Positivity,CQ32017,1.59,3,2017,2017-09-30
+EXPD,Expeditors International,Net Positivity,CQ32017,,3,2017,2017-09-30
+FDX,FedEx,Net Positivity,CQ32017,1.04,3,2017,2017-09-30
+GE,GE Aerospace,Net Positivity,CQ32017,0.51,3,2017,2017-09-30
+GD,General Dynamics,Net Positivity,CQ32017,0.47,3,2017,2017-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32017,1.36,3,2017,2017-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32017,0.55,3,2017,2017-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32017,1.47,3,2017,2017-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32017,0.93,3,2017,2017-09-30
+PCAR,Paccar,Net Positivity,CQ32017,1.58,3,2017,2017-09-30
+RTX,RTX Corporation,Net Positivity,CQ32017,0.3,3,2017,2017-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32017,1.25,3,2017,2017-09-30
+ROP,Roper Technologies,Net Positivity,CQ32017,0.95,3,2017,2017-09-30
+SNA,Snap-on,Net Positivity,CQ32017,1.42,3,2017,2017-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32017,1.16,3,2017,2017-09-30
+UPS,United Parcel Service,Net Positivity,CQ32017,1.41,3,2017,2017-09-30
+WM,Waste Management,Net Positivity,CQ32017,1.48,3,2017,2017-09-30
+ACN,Accenture,Net Positivity,CQ32017,1.42,3,2017,2017-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32017,2.59,3,2017,2017-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32017,1.06,3,2017,2017-09-30
+APH,Amphenol,Net Positivity,CQ32017,1.64,3,2017,2017-09-30
+ADI,Analog Devices,Net Positivity,CQ32017,1.45,3,2017,2017-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32017,1.76,3,2017,2017-09-30
+AMAT,Applied Materials,Net Positivity,CQ32017,2.21,3,2017,2017-09-30
+ADSK,Autodesk,Net Positivity,CQ32017,0.73,3,2017,2017-09-30
+AVGO,Broadcom,Net Positivity,CQ32017,1.02,3,2017,2017-09-30
+CSCO,Cisco,Net Positivity,CQ32017,0.84,3,2017,2017-09-30
+CTSH,Cognizant,Net Positivity,CQ32017,1.0,3,2017,2017-09-30
+HPQ,HP Inc.,Net Positivity,CQ32017,1.4,3,2017,2017-09-30
+IBM,IBM,Net Positivity,CQ32017,1.43,3,2017,2017-09-30
+INTC,Intel,Net Positivity,CQ32017,1.53,3,2017,2017-09-30
+INTU,Intuit,Net Positivity,CQ32017,1.35,3,2017,2017-09-30
+LRCX,Lam Research,Net Positivity,CQ32017,1.68,3,2017,2017-09-30
+MU,Micron Technology,Net Positivity,CQ32017,1.55,3,2017,2017-09-30
+MSFT,Microsoft,Net Positivity,CQ32017,1.51,3,2017,2017-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32017,0.99,3,2017,2017-09-30
+NTAP,NetApp,Net Positivity,CQ32017,2.07,3,2017,2017-09-30
+NVDA,Nvidia,Net Positivity,CQ32017,1.47,3,2017,2017-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32017,0.64,3,2017,2017-09-30
+TXN,Texas Instruments,Net Positivity,CQ32017,1.42,3,2017,2017-09-30
+APD,Air Products,Net Positivity,CQ32017,1.6,3,2017,2017-09-30
+AVY,Avery Dennison,Net Positivity,CQ32017,0.95,3,2017,2017-09-30
+ECL,Ecolab,Net Positivity,CQ32017,1.18,3,2017,2017-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32017,1.53,3,2017,2017-09-30
+IP,International Paper,Net Positivity,CQ32017,1.17,3,2017,2017-09-30
+LIN,Linde plc,Net Positivity,CQ32017,0.9,3,2017,2017-09-30
+NEM,Newmont,Net Positivity,CQ32017,2.2,3,2017,2017-09-30
+NUE,Nucor,Net Positivity,CQ32017,2.13,3,2017,2017-09-30
+AMT,American Tower,Net Positivity,CQ32017,1.04,3,2017,2017-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32017,0.06,3,2017,2017-09-30
+EQR,Equity Residential,Net Positivity,CQ32017,0.9,3,2017,2017-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32017,-0.25,3,2017,2017-09-30
+IRM,Iron Mountain,Net Positivity,CQ32017,0.83,3,2017,2017-09-30
+PLD,Prologis,Net Positivity,CQ32017,0.93,3,2017,2017-09-30
+VTR,Ventas,Net Positivity,CQ32017,2.44,3,2017,2017-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32017,0.89,3,2017,2017-09-30
+AES,AES Corporation,Net Positivity,CQ32017,0.63,3,2017,2017-09-30
+AEE,Ameren,Net Positivity,CQ32017,1.14,3,2017,2017-09-30
+AEP,American Electric Power,Net Positivity,CQ32017,0.71,3,2017,2017-09-30
+CMS,CMS Energy,Net Positivity,CQ32017,1.25,3,2017,2017-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32017,0.85,3,2017,2017-09-30
+DUK,Duke Energy,Net Positivity,CQ32017,2.0,3,2017,2017-09-30
+EIX,Edison International,Net Positivity,CQ32017,0.04,3,2017,2017-09-30
+ETR,Entergy,Net Positivity,CQ32017,0.56,3,2017,2017-09-30
+EXC,Exelon,Net Positivity,CQ32017,1.02,3,2017,2017-09-30
+NEE,NextEra Energy,Net Positivity,CQ32017,1.3,3,2017,2017-09-30
+SO,Southern Company,Net Positivity,CQ32017,0.43,3,2017,2017-09-30
+XEL,Xcel Energy,Net Positivity,CQ32017,1.09,3,2017,2017-09-30
+T,AT&T,Numeric Transeprency,CQ32017,1.33,3,2017,2017-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32017,1.67,3,2017,2017-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32017,,3,2017,2017-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32017,1.21,3,2017,2017-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32017,0.82,3,2017,2017-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32017,3.18,3,2017,2017-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32017,2.64,3,2017,2017-09-30
+VZ,Verizon,Numeric Transeprency,CQ32017,2.03,3,2017,2017-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32017,1.28,3,2017,2017-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32017,2.61,3,2017,2017-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32017,1.56,3,2017,2017-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32017,1.45,3,2017,2017-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32017,1.81,3,2017,2017-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32017,1.89,3,2017,2017-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32017,1.45,3,2017,2017-09-30
+GM,General Motors,Numeric Transeprency,CQ32017,2.52,3,2017,2017-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32017,2.96,3,2017,2017-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32017,1.69,3,2017,2017-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32017,1.9,3,2017,2017-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32017,1.4,3,2017,2017-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32017,1.03,3,2017,2017-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32017,2.89,3,2017,2017-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32017,2.27,3,2017,2017-09-30
+TGT,Target,Numeric Transeprency,CQ32017,1.34,3,2017,2017-09-30
+MO,Altria,Numeric Transeprency,CQ32017,1.77,3,2017,2017-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32017,2.01,3,2017,2017-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32017,1.77,3,2017,2017-09-30
+CLX,Clorox,Numeric Transeprency,CQ32017,2.07,3,2017,2017-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32017,0.79,3,2017,2017-09-30
+COST,Costco,Numeric Transeprency,CQ32017,,3,2017,2017-09-30
+GIS,General Mills,Numeric Transeprency,CQ32017,1.83,3,2017,2017-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32017,1.77,3,2017,2017-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32017,1.26,3,2017,2017-09-30
+KR,Kroger,Numeric Transeprency,CQ32017,1.2,3,2017,2017-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32017,2.89,3,2017,2017-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32017,1.31,3,2017,2017-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32017,2.18,3,2017,2017-09-30
+SYY,Sysco,Numeric Transeprency,CQ32017,1.74,3,2017,2017-09-30
+WMT,Walmart,Numeric Transeprency,CQ32017,3.43,3,2017,2017-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32017,3.05,3,2017,2017-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32017,,3,2017,2017-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32017,1.65,3,2017,2017-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32017,2.19,3,2017,2017-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32017,2.28,3,2017,2017-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32017,1.22,3,2017,2017-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32017,2.68,3,2017,2017-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32017,1.62,3,2017,2017-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32017,2.03,3,2017,2017-09-30
+AFL,Aflac,Numeric Transeprency,CQ32017,1.81,3,2017,2017-09-30
+ALL,Allstate,Numeric Transeprency,CQ32017,2.23,3,2017,2017-09-30
+AXP,American Express,Numeric Transeprency,CQ32017,1.85,3,2017,2017-09-30
+AIG,American International Group,Numeric Transeprency,CQ32017,1.28,3,2017,2017-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32017,1.63,3,2017,2017-09-30
+AON,Aon plc,Numeric Transeprency,CQ32017,3.18,3,2017,2017-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32017,2.22,3,2017,2017-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32017,3.33,3,2017,2017-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32017,,3,2017,2017-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32017,1.6,3,2017,2017-09-30
+CME,CME Group,Numeric Transeprency,CQ32017,2.17,3,2017,2017-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32017,,3,2017,2017-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32017,1.99,3,2017,2017-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32017,3.67,3,2017,2017-09-30
+C,Citigroup,Numeric Transeprency,CQ32017,2.49,3,2017,2017-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32017,3.23,3,2017,2017-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32017,3.02,3,2017,2017-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32017,2.43,3,2017,2017-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32017,1.49,3,2017,2017-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32017,2.65,3,2017,2017-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32017,1.75,3,2017,2017-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32017,1.87,3,2017,2017-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32017,2.36,3,2017,2017-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32017,2.93,3,2017,2017-09-30
+MA,Mastercard,Numeric Transeprency,CQ32017,1.62,3,2017,2017-09-30
+MET,MetLife,Numeric Transeprency,CQ32017,4.26,3,2017,2017-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32017,2.34,3,2017,2017-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32017,2.1,3,2017,2017-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32017,3.55,3,2017,2017-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32017,2.01,3,2017,2017-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32017,2.66,3,2017,2017-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32017,3.64,3,2017,2017-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32017,2.77,3,2017,2017-09-30
+STT,State Street,Numeric Transeprency,CQ32017,2.8,3,2017,2017-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32017,,3,2017,2017-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32017,2.25,3,2017,2017-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32017,2.1,3,2017,2017-09-30
+V,Visa,Numeric Transeprency,CQ32017,1.34,3,2017,2017-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32017,2.3,3,2017,2017-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32017,1.6,3,2017,2017-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32017,1.39,3,2017,2017-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32017,1.76,3,2017,2017-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32017,2.1,3,2017,2017-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32017,3.29,3,2017,2017-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32017,2.9,3,2017,2017-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32017,1.44,3,2017,2017-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32017,3.88,3,2017,2017-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32017,1.09,3,2017,2017-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32017,2.16,3,2017,2017-09-30
+COR,Cencora,Numeric Transeprency,CQ32017,,3,2017,2017-09-30
+CI,Cigna,Numeric Transeprency,CQ32017,2.54,3,2017,2017-09-30
+DVA,DaVita,Numeric Transeprency,CQ32017,2.61,3,2017,2017-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32017,1.4,3,2017,2017-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32017,1.46,3,2017,2017-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32017,2.65,3,2017,2017-09-30
+HUM,Humana,Numeric Transeprency,CQ32017,1.55,3,2017,2017-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32017,2.88,3,2017,2017-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32017,2.56,3,2017,2017-09-30
+LH,Labcorp,Numeric Transeprency,CQ32017,1.87,3,2017,2017-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32017,1.67,3,2017,2017-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32017,1.64,3,2017,2017-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32017,1.25,3,2017,2017-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32017,1.96,3,2017,2017-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32017,2.5,3,2017,2017-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32017,1.98,3,2017,2017-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32017,2.31,3,2017,2017-09-30
+MMM,3M,Numeric Transeprency,CQ32017,3.07,3,2017,2017-09-30
+AME,Ametek,Numeric Transeprency,CQ32017,3.24,3,2017,2017-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32017,2.46,3,2017,2017-09-30
+BA,Boeing,Numeric Transeprency,CQ32017,2.31,3,2017,2017-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32017,1.38,3,2017,2017-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32017,2.42,3,2017,2017-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32017,3.3,3,2017,2017-09-30
+CMI,Cummins,Numeric Transeprency,CQ32017,3.49,3,2017,2017-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32017,3.09,3,2017,2017-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32017,2.07,3,2017,2017-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32017,2.43,3,2017,2017-09-30
+EFX,Equifax,Numeric Transeprency,CQ32017,3.34,3,2017,2017-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32017,,3,2017,2017-09-30
+FDX,FedEx,Numeric Transeprency,CQ32017,1.66,3,2017,2017-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32017,5.49,3,2017,2017-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32017,3.48,3,2017,2017-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32017,3.72,3,2017,2017-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32017,2.44,3,2017,2017-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32017,2.36,3,2017,2017-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32017,1.51,3,2017,2017-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32017,2.15,3,2017,2017-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32017,2.79,3,2017,2017-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32017,1.97,3,2017,2017-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32017,2.32,3,2017,2017-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32017,3.24,3,2017,2017-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32017,2.07,3,2017,2017-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32017,1.98,3,2017,2017-09-30
+WM,Waste Management,Numeric Transeprency,CQ32017,2.81,3,2017,2017-09-30
+ACN,Accenture,Numeric Transeprency,CQ32017,3.21,3,2017,2017-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32017,1.96,3,2017,2017-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32017,1.72,3,2017,2017-09-30
+APH,Amphenol,Numeric Transeprency,CQ32017,2.35,3,2017,2017-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32017,2.56,3,2017,2017-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32017,2.52,3,2017,2017-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32017,3.07,3,2017,2017-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32017,1.55,3,2017,2017-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32017,2.25,3,2017,2017-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32017,2.75,3,2017,2017-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32017,2.09,3,2017,2017-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32017,2.48,3,2017,2017-09-30
+IBM,IBM,Numeric Transeprency,CQ32017,1.71,3,2017,2017-09-30
+INTC,Intel,Numeric Transeprency,CQ32017,2.57,3,2017,2017-09-30
+INTU,Intuit,Numeric Transeprency,CQ32017,2.69,3,2017,2017-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32017,2.24,3,2017,2017-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32017,2.73,3,2017,2017-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32017,3.24,3,2017,2017-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32017,2.94,3,2017,2017-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32017,1.7,3,2017,2017-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32017,1.71,3,2017,2017-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32017,2.44,3,2017,2017-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32017,2.9,3,2017,2017-09-30
+APD,Air Products,Numeric Transeprency,CQ32017,2.67,3,2017,2017-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32017,1.06,3,2017,2017-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32017,1.38,3,2017,2017-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32017,2.04,3,2017,2017-09-30
+IP,International Paper,Numeric Transeprency,CQ32017,1.35,3,2017,2017-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32017,1.58,3,2017,2017-09-30
+NEM,Newmont,Numeric Transeprency,CQ32017,3.01,3,2017,2017-09-30
+NUE,Nucor,Numeric Transeprency,CQ32017,1.93,3,2017,2017-09-30
+AMT,American Tower,Numeric Transeprency,CQ32017,2.83,3,2017,2017-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32017,2.17,3,2017,2017-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32017,2.31,3,2017,2017-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32017,2.06,3,2017,2017-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32017,3.33,3,2017,2017-09-30
+PLD,Prologis,Numeric Transeprency,CQ32017,2.62,3,2017,2017-09-30
+VTR,Ventas,Numeric Transeprency,CQ32017,2.3,3,2017,2017-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32017,2.43,3,2017,2017-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32017,3.15,3,2017,2017-09-30
+AEE,Ameren,Numeric Transeprency,CQ32017,2.92,3,2017,2017-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32017,3.29,3,2017,2017-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32017,2.87,3,2017,2017-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32017,2.31,3,2017,2017-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32017,2.05,3,2017,2017-09-30
+EIX,Edison International,Numeric Transeprency,CQ32017,2.18,3,2017,2017-09-30
+ETR,Entergy,Numeric Transeprency,CQ32017,1.88,3,2017,2017-09-30
+EXC,Exelon,Numeric Transeprency,CQ32017,2.0,3,2017,2017-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32017,3.16,3,2017,2017-09-30
+SO,Southern Company,Numeric Transeprency,CQ32017,2.32,3,2017,2017-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32017,2.09,3,2017,2017-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32017,37.04,3,2017,2017-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32017,25.0,3,2017,2017-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32017,,3,2017,2017-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32017,31.43,3,2017,2017-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32017,2.5,3,2017,2017-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32017,42.86,3,2017,2017-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32017,27.78,3,2017,2017-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32017,31.03,3,2017,2017-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32017,24.39,3,2017,2017-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32017,21.43,3,2017,2017-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32017,41.38,3,2017,2017-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32017,44.83,3,2017,2017-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32017,23.33,3,2017,2017-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32017,48.15,3,2017,2017-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32017,26.92,3,2017,2017-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32017,32.0,3,2017,2017-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32017,53.85,3,2017,2017-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32017,61.54,3,2017,2017-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32017,25.0,3,2017,2017-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32017,38.71,3,2017,2017-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32017,14.29,3,2017,2017-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32017,48.28,3,2017,2017-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32017,25.0,3,2017,2017-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32017,28.13,3,2017,2017-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32017,40.0,3,2017,2017-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32017,61.54,3,2017,2017-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32017,31.58,3,2017,2017-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32017,66.67,3,2017,2017-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32017,56.0,3,2017,2017-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32017,,3,2017,2017-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32017,36.36,3,2017,2017-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32017,73.33,3,2017,2017-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32017,34.48,3,2017,2017-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32017,30.43,3,2017,2017-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32017,59.09,3,2017,2017-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32017,68.75,3,2017,2017-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32017,0.0,3,2017,2017-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32017,20.83,3,2017,2017-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32017,,3,2017,2017-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32017,31.03,3,2017,2017-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32017,15.63,3,2017,2017-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32017,58.33,3,2017,2017-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32017,24.32,3,2017,2017-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32017,28.0,3,2017,2017-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32017,18.92,3,2017,2017-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32017,45.45,3,2017,2017-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32017,46.67,3,2017,2017-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32017,38.89,3,2017,2017-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32017,30.77,3,2017,2017-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32017,47.06,3,2017,2017-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32017,54.55,3,2017,2017-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32017,38.89,3,2017,2017-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32017,38.89,3,2017,2017-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32017,34.62,3,2017,2017-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32017,,3,2017,2017-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32017,46.67,3,2017,2017-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32017,61.54,3,2017,2017-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32017,,3,2017,2017-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32017,44.44,3,2017,2017-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32017,40.0,3,2017,2017-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32017,37.5,3,2017,2017-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32017,39.13,3,2017,2017-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32017,22.22,3,2017,2017-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32017,47.83,3,2017,2017-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32017,36.0,3,2017,2017-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32017,56.25,3,2017,2017-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32017,69.23,3,2017,2017-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32017,75.0,3,2017,2017-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32017,37.5,3,2017,2017-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32017,34.62,3,2017,2017-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32017,33.33,3,2017,2017-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32017,31.25,3,2017,2017-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32017,41.67,3,2017,2017-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32017,58.33,3,2017,2017-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32017,38.89,3,2017,2017-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32017,33.33,3,2017,2017-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32017,37.5,3,2017,2017-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32017,24.0,3,2017,2017-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32017,42.86,3,2017,2017-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32017,44.44,3,2017,2017-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32017,,3,2017,2017-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32017,45.0,3,2017,2017-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32017,33.33,3,2017,2017-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32017,32.35,3,2017,2017-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32017,34.62,3,2017,2017-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32017,45.0,3,2017,2017-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32017,28.57,3,2017,2017-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32017,92.31,3,2017,2017-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32017,68.18,3,2017,2017-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32017,52.94,3,2017,2017-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32017,52.94,3,2017,2017-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32017,56.0,3,2017,2017-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32017,30.77,3,2017,2017-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32017,54.55,3,2017,2017-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32017,42.31,3,2017,2017-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32017,,3,2017,2017-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32017,46.67,3,2017,2017-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32017,46.15,3,2017,2017-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32017,44.44,3,2017,2017-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32017,65.0,3,2017,2017-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32017,56.52,3,2017,2017-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32017,47.37,3,2017,2017-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32017,52.17,3,2017,2017-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32017,77.27,3,2017,2017-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32017,32.14,3,2017,2017-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32017,60.0,3,2017,2017-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32017,71.43,3,2017,2017-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32017,56.25,3,2017,2017-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32017,25.0,3,2017,2017-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32017,71.43,3,2017,2017-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32017,42.86,3,2017,2017-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32017,44.44,3,2017,2017-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32017,52.17,3,2017,2017-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32017,48.28,3,2017,2017-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32017,45.45,3,2017,2017-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32017,28.0,3,2017,2017-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32017,40.91,3,2017,2017-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32017,42.86,3,2017,2017-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32017,,3,2017,2017-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32017,0.0,3,2017,2017-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32017,29.41,3,2017,2017-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32017,63.16,3,2017,2017-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32017,66.67,3,2017,2017-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32017,61.9,3,2017,2017-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32017,55.17,3,2017,2017-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32017,47.37,3,2017,2017-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32017,45.45,3,2017,2017-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32017,52.63,3,2017,2017-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32017,61.54,3,2017,2017-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32017,66.67,3,2017,2017-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32017,38.89,3,2017,2017-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32017,44.44,3,2017,2017-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32017,61.54,3,2017,2017-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32017,24.14,3,2017,2017-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32017,44.83,3,2017,2017-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32017,37.5,3,2017,2017-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32017,69.23,3,2017,2017-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32017,30.77,3,2017,2017-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32017,16.67,3,2017,2017-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32017,52.38,3,2017,2017-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32017,36.0,3,2017,2017-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32017,24.24,3,2017,2017-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32017,35.48,3,2017,2017-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32017,30.3,3,2017,2017-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32017,47.06,3,2017,2017-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32017,38.46,3,2017,2017-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32017,16.67,3,2017,2017-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32017,63.16,3,2017,2017-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32017,16.67,3,2017,2017-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32017,32.35,3,2017,2017-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32017,51.52,3,2017,2017-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32017,32.5,3,2017,2017-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32017,18.42,3,2017,2017-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32017,20.0,3,2017,2017-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32017,55.56,3,2017,2017-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32017,60.0,3,2017,2017-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32017,66.67,3,2017,2017-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32017,28.57,3,2017,2017-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32017,52.94,3,2017,2017-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32017,50.0,3,2017,2017-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32017,12.5,3,2017,2017-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32017,43.75,3,2017,2017-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32017,22.22,3,2017,2017-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32017,33.33,3,2017,2017-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32017,40.0,3,2017,2017-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32017,61.54,3,2017,2017-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32017,100.0,3,2017,2017-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32017,85.71,3,2017,2017-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32017,14.29,3,2017,2017-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32017,66.67,3,2017,2017-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32017,63.64,3,2017,2017-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32017,18.18,3,2017,2017-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32017,20.0,3,2017,2017-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32017,33.33,3,2017,2017-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32017,31.25,3,2017,2017-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32017,26.32,3,2017,2017-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32017,41.18,3,2017,2017-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32017,42.11,3,2017,2017-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32017,31.58,3,2017,2017-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32017,33.33,3,2017,2017-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32017,52.63,3,2017,2017-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32017,31.25,3,2017,2017-09-30
+T,AT&T,Language Complexity,CQ32017,11.56,3,2017,2017-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32017,12.28,3,2017,2017-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32017,,3,2017,2017-09-30
+META,Meta Platforms,Language Complexity,CQ32017,12.73,3,2017,2017-09-30
+NFLX,Netflix,Language Complexity,CQ32017,10.88,3,2017,2017-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32017,14.39,3,2017,2017-09-30
+OMC,Omnicom Group,Language Complexity,CQ32017,13.8,3,2017,2017-09-30
+VZ,Verizon,Language Complexity,CQ32017,12.22,3,2017,2017-09-30
+AMZN,Amazon,Language Complexity,CQ32017,12.24,3,2017,2017-09-30
+AZO,AutoZone,Language Complexity,CQ32017,13.23,3,2017,2017-09-30
+BBY,Best Buy,Language Complexity,CQ32017,13.71,3,2017,2017-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32017,11.67,3,2017,2017-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32017,13.9,3,2017,2017-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32017,10.35,3,2017,2017-09-30
+F,Ford Motor Company,Language Complexity,CQ32017,10.12,3,2017,2017-09-30
+GM,General Motors,Language Complexity,CQ32017,13.08,3,2017,2017-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32017,11.89,3,2017,2017-09-30
+HAS,Hasbro,Language Complexity,CQ32017,12.14,3,2017,2017-09-30
+LOW,Lowe's,Language Complexity,CQ32017,13.62,3,2017,2017-09-30
+MCD,McDonald's,Language Complexity,CQ32017,12.73,3,2017,2017-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32017,14.41,3,2017,2017-09-30
+ROST,Ross Stores,Language Complexity,CQ32017,10.53,3,2017,2017-09-30
+TJX,TJX Companies,Language Complexity,CQ32017,11.75,3,2017,2017-09-30
+TGT,Target,Language Complexity,CQ32017,13.27,3,2017,2017-09-30
+MO,Altria,Language Complexity,CQ32017,11.43,3,2017,2017-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32017,12.52,3,2017,2017-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32017,12.23,3,2017,2017-09-30
+CLX,Clorox,Language Complexity,CQ32017,12.3,3,2017,2017-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32017,12.75,3,2017,2017-09-30
+COST,Costco,Language Complexity,CQ32017,,3,2017,2017-09-30
+GIS,General Mills,Language Complexity,CQ32017,11.78,3,2017,2017-09-30
+HSY,Hershey Company,Language Complexity,CQ32017,12.12,3,2017,2017-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32017,11.16,3,2017,2017-09-30
+KR,Kroger,Language Complexity,CQ32017,11.79,3,2017,2017-09-30
+MKC,McCormick & Company,Language Complexity,CQ32017,12.4,3,2017,2017-09-30
+PEP,PepsiCo,Language Complexity,CQ32017,14.11,3,2017,2017-09-30
+PG,Procter & Gamble,Language Complexity,CQ32017,12.56,3,2017,2017-09-30
+SYY,Sysco,Language Complexity,CQ32017,13.38,3,2017,2017-09-30
+WMT,Walmart,Language Complexity,CQ32017,15.17,3,2017,2017-09-30
+APA,APA Corporation,Language Complexity,CQ32017,12.26,3,2017,2017-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32017,,3,2017,2017-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32017,12.06,3,2017,2017-09-30
+EOG,EOG Resources,Language Complexity,CQ32017,12.02,3,2017,2017-09-30
+XOM,ExxonMobil,Language Complexity,CQ32017,12.11,3,2017,2017-09-30
+HAL,Halliburton,Language Complexity,CQ32017,12.66,3,2017,2017-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32017,12.55,3,2017,2017-09-30
+SLB,Schlumberger,Language Complexity,CQ32017,14.16,3,2017,2017-09-30
+VLO,Valero Energy,Language Complexity,CQ32017,10.98,3,2017,2017-09-30
+AFL,Aflac,Language Complexity,CQ32017,12.52,3,2017,2017-09-30
+ALL,Allstate,Language Complexity,CQ32017,13.3,3,2017,2017-09-30
+AXP,American Express,Language Complexity,CQ32017,13.75,3,2017,2017-09-30
+AIG,American International Group,Language Complexity,CQ32017,12.56,3,2017,2017-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32017,12.6,3,2017,2017-09-30
+AON,Aon plc,Language Complexity,CQ32017,14.16,3,2017,2017-09-30
+BK,BNY Mellon,Language Complexity,CQ32017,12.91,3,2017,2017-09-30
+BAC,Bank of America,Language Complexity,CQ32017,11.63,3,2017,2017-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32017,,3,2017,2017-09-30
+BLK,BlackRock,Language Complexity,CQ32017,16.25,3,2017,2017-09-30
+CME,CME Group,Language Complexity,CQ32017,11.33,3,2017,2017-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32017,,3,2017,2017-09-30
+CB,Chubb Limited,Language Complexity,CQ32017,11.72,3,2017,2017-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32017,12.98,3,2017,2017-09-30
+C,Citigroup,Language Complexity,CQ32017,12.19,3,2017,2017-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32017,11.8,3,2017,2017-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32017,13.6,3,2017,2017-09-30
+FISV,Fiserv,Language Complexity,CQ32017,12.24,3,2017,2017-09-30
+GS,Goldman Sachs,Language Complexity,CQ32017,12.76,3,2017,2017-09-30
+HIG,Hartford Financial,Language Complexity,CQ32017,11.38,3,2017,2017-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32017,13.35,3,2017,2017-09-30
+IVZ,Invesco,Language Complexity,CQ32017,12.25,3,2017,2017-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32017,12.16,3,2017,2017-09-30
+KEY,KeyCorp,Language Complexity,CQ32017,12.04,3,2017,2017-09-30
+MA,Mastercard,Language Complexity,CQ32017,12.79,3,2017,2017-09-30
+MET,MetLife,Language Complexity,CQ32017,13.31,3,2017,2017-09-30
+MS,Morgan Stanley,Language Complexity,CQ32017,12.02,3,2017,2017-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32017,14.76,3,2017,2017-09-30
+NTRS,Northern Trust,Language Complexity,CQ32017,11.91,3,2017,2017-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32017,10.23,3,2017,2017-09-30
+PRU,Prudential Financial,Language Complexity,CQ32017,13.94,3,2017,2017-09-30
+RF,Regions Financial,Language Complexity,CQ32017,12.48,3,2017,2017-09-30
+SPGI,S&P Global,Language Complexity,CQ32017,12.72,3,2017,2017-09-30
+STT,State Street,Language Complexity,CQ32017,11.75,3,2017,2017-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32017,,3,2017,2017-09-30
+TRV,Travelers Companies,Language Complexity,CQ32017,12.25,3,2017,2017-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32017,10.78,3,2017,2017-09-30
+V,Visa,Language Complexity,CQ32017,11.98,3,2017,2017-09-30
+WFC,Wells Fargo,Language Complexity,CQ32017,12.91,3,2017,2017-09-30
+ABBV,AbbVie,Language Complexity,CQ32017,12.09,3,2017,2017-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32017,10.78,3,2017,2017-09-30
+A,Agilent Technologies,Language Complexity,CQ32017,10.47,3,2017,2017-09-30
+AMGN,Amgen,Language Complexity,CQ32017,13.33,3,2017,2017-09-30
+BAX,Baxter International,Language Complexity,CQ32017,11.95,3,2017,2017-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32017,11.54,3,2017,2017-09-30
+BIIB,Biogen,Language Complexity,CQ32017,14.07,3,2017,2017-09-30
+BSX,Boston Scientific,Language Complexity,CQ32017,12.49,3,2017,2017-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32017,11.32,3,2017,2017-09-30
+CVS,CVS Health,Language Complexity,CQ32017,13.21,3,2017,2017-09-30
+COR,Cencora,Language Complexity,CQ32017,,3,2017,2017-09-30
+CI,Cigna,Language Complexity,CQ32017,14.54,3,2017,2017-09-30
+DVA,DaVita,Language Complexity,CQ32017,10.3,3,2017,2017-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32017,13.64,3,2017,2017-09-30
+LLY,Eli Lilly,Language Complexity,CQ32017,12.11,3,2017,2017-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32017,12.07,3,2017,2017-09-30
+HUM,Humana,Language Complexity,CQ32017,14.06,3,2017,2017-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32017,12.08,3,2017,2017-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32017,13.49,3,2017,2017-09-30
+LH,Labcorp,Language Complexity,CQ32017,13.25,3,2017,2017-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32017,14.52,3,2017,2017-09-30
+MDT,Medtronic,Language Complexity,CQ32017,12.99,3,2017,2017-09-30
+MRK,Merck & Co.,Language Complexity,CQ32017,13.2,3,2017,2017-09-30
+PFE,Pfizer,Language Complexity,CQ32017,13.35,3,2017,2017-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32017,11.76,3,2017,2017-09-30
+WAT,Waters Corporation,Language Complexity,CQ32017,13.37,3,2017,2017-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32017,13.34,3,2017,2017-09-30
+MMM,3M,Language Complexity,CQ32017,11.14,3,2017,2017-09-30
+AME,Ametek,Language Complexity,CQ32017,10.75,3,2017,2017-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32017,12.6,3,2017,2017-09-30
+BA,Boeing,Language Complexity,CQ32017,12.44,3,2017,2017-09-30
+CSX,CSX Corporation,Language Complexity,CQ32017,10.32,3,2017,2017-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32017,11.92,3,2017,2017-09-30
+CTAS,Cintas,Language Complexity,CQ32017,11.57,3,2017,2017-09-30
+CMI,Cummins,Language Complexity,CQ32017,12.63,3,2017,2017-09-30
+DE,Deere & Company,Language Complexity,CQ32017,11.49,3,2017,2017-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32017,11.89,3,2017,2017-09-30
+EMR,Emerson Electric,Language Complexity,CQ32017,9.28,3,2017,2017-09-30
+EFX,Equifax,Language Complexity,CQ32017,13.01,3,2017,2017-09-30
+EXPD,Expeditors International,Language Complexity,CQ32017,,3,2017,2017-09-30
+FDX,FedEx,Language Complexity,CQ32017,13.27,3,2017,2017-09-30
+GE,GE Aerospace,Language Complexity,CQ32017,10.65,3,2017,2017-09-30
+GD,General Dynamics,Language Complexity,CQ32017,10.73,3,2017,2017-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32017,10.61,3,2017,2017-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32017,12.29,3,2017,2017-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32017,11.62,3,2017,2017-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32017,12.26,3,2017,2017-09-30
+PCAR,Paccar,Language Complexity,CQ32017,10.68,3,2017,2017-09-30
+RTX,RTX Corporation,Language Complexity,CQ32017,10.26,3,2017,2017-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32017,10.96,3,2017,2017-09-30
+ROP,Roper Technologies,Language Complexity,CQ32017,10.83,3,2017,2017-09-30
+SNA,Snap-on,Language Complexity,CQ32017,11.48,3,2017,2017-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32017,13.47,3,2017,2017-09-30
+UPS,United Parcel Service,Language Complexity,CQ32017,11.82,3,2017,2017-09-30
+WM,Waste Management,Language Complexity,CQ32017,11.25,3,2017,2017-09-30
+ACN,Accenture,Language Complexity,CQ32017,13.44,3,2017,2017-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32017,15.08,3,2017,2017-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32017,13.42,3,2017,2017-09-30
+APH,Amphenol,Language Complexity,CQ32017,13.19,3,2017,2017-09-30
+ADI,Analog Devices,Language Complexity,CQ32017,12.28,3,2017,2017-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32017,11.92,3,2017,2017-09-30
+AMAT,Applied Materials,Language Complexity,CQ32017,10.92,3,2017,2017-09-30
+ADSK,Autodesk,Language Complexity,CQ32017,12.27,3,2017,2017-09-30
+AVGO,Broadcom,Language Complexity,CQ32017,11.3,3,2017,2017-09-30
+CSCO,Cisco,Language Complexity,CQ32017,12.63,3,2017,2017-09-30
+CTSH,Cognizant,Language Complexity,CQ32017,13.89,3,2017,2017-09-30
+HPQ,HP Inc.,Language Complexity,CQ32017,12.2,3,2017,2017-09-30
+IBM,IBM,Language Complexity,CQ32017,12.4,3,2017,2017-09-30
+INTC,Intel,Language Complexity,CQ32017,11.52,3,2017,2017-09-30
+INTU,Intuit,Language Complexity,CQ32017,11.48,3,2017,2017-09-30
+LRCX,Lam Research,Language Complexity,CQ32017,13.58,3,2017,2017-09-30
+MU,Micron Technology,Language Complexity,CQ32017,13.74,3,2017,2017-09-30
+MSFT,Microsoft,Language Complexity,CQ32017,13.61,3,2017,2017-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32017,10.7,3,2017,2017-09-30
+NTAP,NetApp,Language Complexity,CQ32017,12.39,3,2017,2017-09-30
+NVDA,Nvidia,Language Complexity,CQ32017,11.48,3,2017,2017-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32017,10.79,3,2017,2017-09-30
+TXN,Texas Instruments,Language Complexity,CQ32017,10.94,3,2017,2017-09-30
+APD,Air Products,Language Complexity,CQ32017,11.35,3,2017,2017-09-30
+AVY,Avery Dennison,Language Complexity,CQ32017,12.07,3,2017,2017-09-30
+ECL,Ecolab,Language Complexity,CQ32017,9.16,3,2017,2017-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32017,12.97,3,2017,2017-09-30
+IP,International Paper,Language Complexity,CQ32017,10.92,3,2017,2017-09-30
+LIN,Linde plc,Language Complexity,CQ32017,11.88,3,2017,2017-09-30
+NEM,Newmont,Language Complexity,CQ32017,13.44,3,2017,2017-09-30
+NUE,Nucor,Language Complexity,CQ32017,11.65,3,2017,2017-09-30
+AMT,American Tower,Language Complexity,CQ32017,14.5,3,2017,2017-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32017,10.96,3,2017,2017-09-30
+EQR,Equity Residential,Language Complexity,CQ32017,12.44,3,2017,2017-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32017,10.97,3,2017,2017-09-30
+IRM,Iron Mountain,Language Complexity,CQ32017,12.54,3,2017,2017-09-30
+PLD,Prologis,Language Complexity,CQ32017,10.9,3,2017,2017-09-30
+VTR,Ventas,Language Complexity,CQ32017,13.88,3,2017,2017-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32017,11.52,3,2017,2017-09-30
+AES,AES Corporation,Language Complexity,CQ32017,11.25,3,2017,2017-09-30
+AEE,Ameren,Language Complexity,CQ32017,13.08,3,2017,2017-09-30
+AEP,American Electric Power,Language Complexity,CQ32017,12.94,3,2017,2017-09-30
+CMS,CMS Energy,Language Complexity,CQ32017,13.21,3,2017,2017-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32017,12.17,3,2017,2017-09-30
+DUK,Duke Energy,Language Complexity,CQ32017,14.21,3,2017,2017-09-30
+EIX,Edison International,Language Complexity,CQ32017,13.61,3,2017,2017-09-30
+ETR,Entergy,Language Complexity,CQ32017,13.86,3,2017,2017-09-30
+EXC,Exelon,Language Complexity,CQ32017,13.16,3,2017,2017-09-30
+NEE,NextEra Energy,Language Complexity,CQ32017,14.9,3,2017,2017-09-30
+SO,Southern Company,Language Complexity,CQ32017,11.85,3,2017,2017-09-30
+XEL,Xcel Energy,Language Complexity,CQ32017,11.06,3,2017,2017-09-30
+T,AT&T,Net Positivity,CQ42017,1.46,4,2017,2017-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42017,1.77,4,2017,2017-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42017,,4,2017,2017-12-31
+META,Meta Platforms,Net Positivity,CQ42017,0.99,4,2017,2017-12-31
+NFLX,Netflix,Net Positivity,CQ42017,1.53,4,2017,2017-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42017,1.17,4,2017,2017-12-31
+OMC,Omnicom Group,Net Positivity,CQ42017,0.73,4,2017,2017-12-31
+VZ,Verizon,Net Positivity,CQ42017,1.08,4,2017,2017-12-31
+AMZN,Amazon,Net Positivity,CQ42017,1.12,4,2017,2017-12-31
+AZO,AutoZone,Net Positivity,CQ42017,1.06,4,2017,2017-12-31
+BBY,Best Buy,Net Positivity,CQ42017,1.76,4,2017,2017-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42017,1.4,4,2017,2017-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42017,1.5,4,2017,2017-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42017,1.29,4,2017,2017-12-31
+F,Ford Motor Company,Net Positivity,CQ42017,1.26,4,2017,2017-12-31
+GM,General Motors,Net Positivity,CQ42017,1.01,4,2017,2017-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42017,1.3,4,2017,2017-12-31
+HAS,Hasbro,Net Positivity,CQ42017,0.94,4,2017,2017-12-31
+LOW,Lowe's,Net Positivity,CQ42017,2.54,4,2017,2017-12-31
+MCD,McDonald's,Net Positivity,CQ42017,1.48,4,2017,2017-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42017,2.42,4,2017,2017-12-31
+ROST,Ross Stores,Net Positivity,CQ42017,1.32,4,2017,2017-12-31
+TJX,TJX Companies,Net Positivity,CQ42017,1.48,4,2017,2017-12-31
+TGT,Target,Net Positivity,CQ42017,1.9,4,2017,2017-12-31
+MO,Altria,Net Positivity,CQ42017,0.37,4,2017,2017-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42017,0.65,4,2017,2017-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42017,1.05,4,2017,2017-12-31
+CLX,Clorox,Net Positivity,CQ42017,1.33,4,2017,2017-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42017,1.21,4,2017,2017-12-31
+COST,Costco,Net Positivity,CQ42017,1.06,4,2017,2017-12-31
+GIS,General Mills,Net Positivity,CQ42017,2.24,4,2017,2017-12-31
+HSY,Hershey Company,Net Positivity,CQ42017,1.22,4,2017,2017-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42017,0.97,4,2017,2017-12-31
+KR,Kroger,Net Positivity,CQ42017,1.19,4,2017,2017-12-31
+MKC,McCormick & Company,Net Positivity,CQ42017,,4,2017,2017-12-31
+PEP,PepsiCo,Net Positivity,CQ42017,1.32,4,2017,2017-12-31
+PG,Procter & Gamble,Net Positivity,CQ42017,1.67,4,2017,2017-12-31
+SYY,Sysco,Net Positivity,CQ42017,1.17,4,2017,2017-12-31
+WMT,Walmart,Net Positivity,CQ42017,2.32,4,2017,2017-12-31
+APA,APA Corporation,Net Positivity,CQ42017,0.86,4,2017,2017-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42017,,4,2017,2017-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42017,0.5,4,2017,2017-12-31
+EOG,EOG Resources,Net Positivity,CQ42017,1.26,4,2017,2017-12-31
+XOM,ExxonMobil,Net Positivity,CQ42017,0.94,4,2017,2017-12-31
+HAL,Halliburton,Net Positivity,CQ42017,1.31,4,2017,2017-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42017,2.11,4,2017,2017-12-31
+SLB,Schlumberger,Net Positivity,CQ42017,1.12,4,2017,2017-12-31
+VLO,Valero Energy,Net Positivity,CQ42017,0.61,4,2017,2017-12-31
+AFL,Aflac,Net Positivity,CQ42017,1.04,4,2017,2017-12-31
+ALL,Allstate,Net Positivity,CQ42017,1.0,4,2017,2017-12-31
+AXP,American Express,Net Positivity,CQ42017,1.4,4,2017,2017-12-31
+AIG,American International Group,Net Positivity,CQ42017,0.17,4,2017,2017-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42017,1.47,4,2017,2017-12-31
+AON,Aon plc,Net Positivity,CQ42017,1.69,4,2017,2017-12-31
+BK,BNY Mellon,Net Positivity,CQ42017,1.21,4,2017,2017-12-31
+BAC,Bank of America,Net Positivity,CQ42017,0.89,4,2017,2017-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42017,,4,2017,2017-12-31
+BLK,BlackRock,Net Positivity,CQ42017,1.93,4,2017,2017-12-31
+CME,CME Group,Net Positivity,CQ42017,0.96,4,2017,2017-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42017,,4,2017,2017-12-31
+CB,Chubb Limited,Net Positivity,CQ42017,-0.96,4,2017,2017-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42017,-0.84,4,2017,2017-12-31
+C,Citigroup,Net Positivity,CQ42017,0.44,4,2017,2017-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42017,1.29,4,2017,2017-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42017,1.34,4,2017,2017-12-31
+FISV,Fiserv,Net Positivity,CQ42017,1.05,4,2017,2017-12-31
+GS,Goldman Sachs,Net Positivity,CQ42017,0.84,4,2017,2017-12-31
+HIG,Hartford Financial,Net Positivity,CQ42017,0.89,4,2017,2017-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42017,0.43,4,2017,2017-12-31
+IVZ,Invesco,Net Positivity,CQ42017,1.02,4,2017,2017-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42017,0.57,4,2017,2017-12-31
+KEY,KeyCorp,Net Positivity,CQ42017,1.01,4,2017,2017-12-31
+MA,Mastercard,Net Positivity,CQ42017,0.84,4,2017,2017-12-31
+MET,MetLife,Net Positivity,CQ42017,0.48,4,2017,2017-12-31
+MS,Morgan Stanley,Net Positivity,CQ42017,0.88,4,2017,2017-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42017,1.02,4,2017,2017-12-31
+NTRS,Northern Trust,Net Positivity,CQ42017,0.77,4,2017,2017-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42017,0.75,4,2017,2017-12-31
+PRU,Prudential Financial,Net Positivity,CQ42017,1.26,4,2017,2017-12-31
+RF,Regions Financial,Net Positivity,CQ42017,0.65,4,2017,2017-12-31
+SPGI,S&P Global,Net Positivity,CQ42017,1.09,4,2017,2017-12-31
+STT,State Street,Net Positivity,CQ42017,0.69,4,2017,2017-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42017,,4,2017,2017-12-31
+TRV,Travelers Companies,Net Positivity,CQ42017,0.25,4,2017,2017-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42017,0.77,4,2017,2017-12-31
+V,Visa,Net Positivity,CQ42017,0.82,4,2017,2017-12-31
+WFC,Wells Fargo,Net Positivity,CQ42017,0.22,4,2017,2017-12-31
+ABBV,AbbVie,Net Positivity,CQ42017,1.49,4,2017,2017-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42017,1.11,4,2017,2017-12-31
+A,Agilent Technologies,Net Positivity,CQ42017,1.45,4,2017,2017-12-31
+AMGN,Amgen,Net Positivity,CQ42017,0.83,4,2017,2017-12-31
+BAX,Baxter International,Net Positivity,CQ42017,1.16,4,2017,2017-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42017,1.43,4,2017,2017-12-31
+BIIB,Biogen,Net Positivity,CQ42017,1.53,4,2017,2017-12-31
+BSX,Boston Scientific,Net Positivity,CQ42017,0.72,4,2017,2017-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42017,1.61,4,2017,2017-12-31
+CVS,CVS Health,Net Positivity,CQ42017,0.61,4,2017,2017-12-31
+COR,Cencora,Net Positivity,CQ42017,,4,2017,2017-12-31
+CI,Cigna,Net Positivity,CQ42017,1.97,4,2017,2017-12-31
+DVA,DaVita,Net Positivity,CQ42017,-0.2,4,2017,2017-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42017,1.9,4,2017,2017-12-31
+LLY,Eli Lilly,Net Positivity,CQ42017,0.76,4,2017,2017-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42017,0.64,4,2017,2017-12-31
+HUM,Humana,Net Positivity,CQ42017,1.4,4,2017,2017-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42017,0.93,4,2017,2017-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42017,0.94,4,2017,2017-12-31
+LH,Labcorp,Net Positivity,CQ42017,1.11,4,2017,2017-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42017,0.69,4,2017,2017-12-31
+MDT,Medtronic,Net Positivity,CQ42017,1.05,4,2017,2017-12-31
+MRK,Merck & Co.,Net Positivity,CQ42017,1.49,4,2017,2017-12-31
+PFE,Pfizer,Net Positivity,CQ42017,0.36,4,2017,2017-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42017,2.34,4,2017,2017-12-31
+WAT,Waters Corporation,Net Positivity,CQ42017,1.95,4,2017,2017-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42017,0.69,4,2017,2017-12-31
+MMM,3M,Net Positivity,CQ42017,1.45,4,2017,2017-12-31
+AME,Ametek,Net Positivity,CQ42017,2.57,4,2017,2017-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42017,1.45,4,2017,2017-12-31
+BA,Boeing,Net Positivity,CQ42017,1.78,4,2017,2017-12-31
+CSX,CSX Corporation,Net Positivity,CQ42017,0.92,4,2017,2017-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42017,1.24,4,2017,2017-12-31
+CTAS,Cintas,Net Positivity,CQ42017,0.88,4,2017,2017-12-31
+CMI,Cummins,Net Positivity,CQ42017,0.86,4,2017,2017-12-31
+DE,Deere & Company,Net Positivity,CQ42017,1.4,4,2017,2017-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42017,0.53,4,2017,2017-12-31
+EMR,Emerson Electric,Net Positivity,CQ42017,1.86,4,2017,2017-12-31
+EFX,Equifax,Net Positivity,CQ42017,-0.56,4,2017,2017-12-31
+EXPD,Expeditors International,Net Positivity,CQ42017,,4,2017,2017-12-31
+FDX,FedEx,Net Positivity,CQ42017,1.56,4,2017,2017-12-31
+GE,GE Aerospace,Net Positivity,CQ42017,0.14,4,2017,2017-12-31
+GD,General Dynamics,Net Positivity,CQ42017,0.98,4,2017,2017-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42017,1.23,4,2017,2017-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42017,0.85,4,2017,2017-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42017,1.46,4,2017,2017-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42017,1.31,4,2017,2017-12-31
+PCAR,Paccar,Net Positivity,CQ42017,1.36,4,2017,2017-12-31
+RTX,RTX Corporation,Net Positivity,CQ42017,0.65,4,2017,2017-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42017,1.39,4,2017,2017-12-31
+ROP,Roper Technologies,Net Positivity,CQ42017,1.05,4,2017,2017-12-31
+SNA,Snap-on,Net Positivity,CQ42017,1.03,4,2017,2017-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42017,1.95,4,2017,2017-12-31
+UPS,United Parcel Service,Net Positivity,CQ42017,1.56,4,2017,2017-12-31
+WM,Waste Management,Net Positivity,CQ42017,1.07,4,2017,2017-12-31
+ACN,Accenture,Net Positivity,CQ42017,1.89,4,2017,2017-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42017,2.53,4,2017,2017-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42017,1.09,4,2017,2017-12-31
+APH,Amphenol,Net Positivity,CQ42017,1.92,4,2017,2017-12-31
+ADI,Analog Devices,Net Positivity,CQ42017,1.45,4,2017,2017-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42017,2.01,4,2017,2017-12-31
+AMAT,Applied Materials,Net Positivity,CQ42017,2.55,4,2017,2017-12-31
+ADSK,Autodesk,Net Positivity,CQ42017,0.18,4,2017,2017-12-31
+AVGO,Broadcom,Net Positivity,CQ42017,0.54,4,2017,2017-12-31
+CSCO,Cisco,Net Positivity,CQ42017,1.21,4,2017,2017-12-31
+CTSH,Cognizant,Net Positivity,CQ42017,1.15,4,2017,2017-12-31
+HPQ,HP Inc.,Net Positivity,CQ42017,1.73,4,2017,2017-12-31
+IBM,IBM,Net Positivity,CQ42017,1.1,4,2017,2017-12-31
+INTC,Intel,Net Positivity,CQ42017,1.68,4,2017,2017-12-31
+INTU,Intuit,Net Positivity,CQ42017,1.2,4,2017,2017-12-31
+LRCX,Lam Research,Net Positivity,CQ42017,1.59,4,2017,2017-12-31
+MU,Micron Technology,Net Positivity,CQ42017,1.56,4,2017,2017-12-31
+MSFT,Microsoft,Net Positivity,CQ42017,1.68,4,2017,2017-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42017,0.73,4,2017,2017-12-31
+NTAP,NetApp,Net Positivity,CQ42017,1.87,4,2017,2017-12-31
+NVDA,Nvidia,Net Positivity,CQ42017,1.32,4,2017,2017-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42017,0.61,4,2017,2017-12-31
+TXN,Texas Instruments,Net Positivity,CQ42017,1.25,4,2017,2017-12-31
+APD,Air Products,Net Positivity,CQ42017,1.72,4,2017,2017-12-31
+AVY,Avery Dennison,Net Positivity,CQ42017,0.75,4,2017,2017-12-31
+ECL,Ecolab,Net Positivity,CQ42017,0.85,4,2017,2017-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42017,2.12,4,2017,2017-12-31
+IP,International Paper,Net Positivity,CQ42017,0.86,4,2017,2017-12-31
+LIN,Linde plc,Net Positivity,CQ42017,0.78,4,2017,2017-12-31
+NEM,Newmont,Net Positivity,CQ42017,1.84,4,2017,2017-12-31
+NUE,Nucor,Net Positivity,CQ42017,1.18,4,2017,2017-12-31
+AMT,American Tower,Net Positivity,CQ42017,0.79,4,2017,2017-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42017,0.45,4,2017,2017-12-31
+EQR,Equity Residential,Net Positivity,CQ42017,0.58,4,2017,2017-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42017,0.64,4,2017,2017-12-31
+IRM,Iron Mountain,Net Positivity,CQ42017,1.2,4,2017,2017-12-31
+PLD,Prologis,Net Positivity,CQ42017,0.3,4,2017,2017-12-31
+VTR,Ventas,Net Positivity,CQ42017,2.01,4,2017,2017-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42017,0.82,4,2017,2017-12-31
+AES,AES Corporation,Net Positivity,CQ42017,0.72,4,2017,2017-12-31
+AEE,Ameren,Net Positivity,CQ42017,0.7,4,2017,2017-12-31
+AEP,American Electric Power,Net Positivity,CQ42017,0.59,4,2017,2017-12-31
+CMS,CMS Energy,Net Positivity,CQ42017,1.75,4,2017,2017-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42017,0.97,4,2017,2017-12-31
+DUK,Duke Energy,Net Positivity,CQ42017,0.81,4,2017,2017-12-31
+EIX,Edison International,Net Positivity,CQ42017,0.15,4,2017,2017-12-31
+ETR,Entergy,Net Positivity,CQ42017,0.48,4,2017,2017-12-31
+EXC,Exelon,Net Positivity,CQ42017,0.63,4,2017,2017-12-31
+NEE,NextEra Energy,Net Positivity,CQ42017,1.23,4,2017,2017-12-31
+SO,Southern Company,Net Positivity,CQ42017,0.69,4,2017,2017-12-31
+XEL,Xcel Energy,Net Positivity,CQ42017,0.58,4,2017,2017-12-31
+T,AT&T,Numeric Transeprency,CQ42017,1.79,4,2017,2017-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42017,1.39,4,2017,2017-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42017,,4,2017,2017-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42017,1.58,4,2017,2017-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42017,1.23,4,2017,2017-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42017,3.57,4,2017,2017-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42017,3.02,4,2017,2017-12-31
+VZ,Verizon,Numeric Transeprency,CQ42017,2.08,4,2017,2017-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42017,1.06,4,2017,2017-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42017,2.22,4,2017,2017-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42017,2.1,4,2017,2017-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42017,1.28,4,2017,2017-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42017,1.97,4,2017,2017-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42017,1.98,4,2017,2017-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42017,1.3,4,2017,2017-12-31
+GM,General Motors,Numeric Transeprency,CQ42017,2.47,4,2017,2017-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42017,3.12,4,2017,2017-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42017,1.85,4,2017,2017-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42017,2.28,4,2017,2017-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42017,1.62,4,2017,2017-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42017,1.53,4,2017,2017-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42017,2.28,4,2017,2017-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42017,2.06,4,2017,2017-12-31
+TGT,Target,Numeric Transeprency,CQ42017,1.5,4,2017,2017-12-31
+MO,Altria,Numeric Transeprency,CQ42017,1.92,4,2017,2017-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42017,2.45,4,2017,2017-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42017,1.48,4,2017,2017-12-31
+CLX,Clorox,Numeric Transeprency,CQ42017,1.72,4,2017,2017-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42017,0.88,4,2017,2017-12-31
+COST,Costco,Numeric Transeprency,CQ42017,3.34,4,2017,2017-12-31
+GIS,General Mills,Numeric Transeprency,CQ42017,1.86,4,2017,2017-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42017,1.99,4,2017,2017-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42017,1.43,4,2017,2017-12-31
+KR,Kroger,Numeric Transeprency,CQ42017,1.45,4,2017,2017-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42017,,4,2017,2017-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42017,1.16,4,2017,2017-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42017,2.12,4,2017,2017-12-31
+SYY,Sysco,Numeric Transeprency,CQ42017,1.19,4,2017,2017-12-31
+WMT,Walmart,Numeric Transeprency,CQ42017,3.07,4,2017,2017-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42017,2.3,4,2017,2017-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42017,,4,2017,2017-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42017,2.42,4,2017,2017-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42017,2.12,4,2017,2017-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42017,2.13,4,2017,2017-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42017,1.12,4,2017,2017-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42017,2.44,4,2017,2017-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42017,1.22,4,2017,2017-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42017,1.95,4,2017,2017-12-31
+AFL,Aflac,Numeric Transeprency,CQ42017,1.8,4,2017,2017-12-31
+ALL,Allstate,Numeric Transeprency,CQ42017,2.64,4,2017,2017-12-31
+AXP,American Express,Numeric Transeprency,CQ42017,1.87,4,2017,2017-12-31
+AIG,American International Group,Numeric Transeprency,CQ42017,1.66,4,2017,2017-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42017,1.94,4,2017,2017-12-31
+AON,Aon plc,Numeric Transeprency,CQ42017,3.37,4,2017,2017-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42017,1.39,4,2017,2017-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42017,3.28,4,2017,2017-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42017,,4,2017,2017-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42017,1.38,4,2017,2017-12-31
+CME,CME Group,Numeric Transeprency,CQ42017,1.54,4,2017,2017-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42017,,4,2017,2017-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42017,2.5,4,2017,2017-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42017,3.24,4,2017,2017-12-31
+C,Citigroup,Numeric Transeprency,CQ42017,2.92,4,2017,2017-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42017,2.32,4,2017,2017-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42017,2.75,4,2017,2017-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42017,2.39,4,2017,2017-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42017,2.34,4,2017,2017-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42017,2.63,4,2017,2017-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42017,1.69,4,2017,2017-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42017,1.56,4,2017,2017-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42017,1.82,4,2017,2017-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42017,2.87,4,2017,2017-12-31
+MA,Mastercard,Numeric Transeprency,CQ42017,1.58,4,2017,2017-12-31
+MET,MetLife,Numeric Transeprency,CQ42017,4.27,4,2017,2017-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42017,2.22,4,2017,2017-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42017,2.08,4,2017,2017-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42017,2.94,4,2017,2017-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42017,2.19,4,2017,2017-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42017,2.39,4,2017,2017-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42017,3.06,4,2017,2017-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42017,2.43,4,2017,2017-12-31
+STT,State Street,Numeric Transeprency,CQ42017,2.26,4,2017,2017-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42017,,4,2017,2017-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42017,2.16,4,2017,2017-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42017,1.66,4,2017,2017-12-31
+V,Visa,Numeric Transeprency,CQ42017,3.61,4,2017,2017-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42017,2.06,4,2017,2017-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42017,2.43,4,2017,2017-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42017,1.57,4,2017,2017-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42017,2.69,4,2017,2017-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42017,2.05,4,2017,2017-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42017,2.15,4,2017,2017-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42017,3.49,4,2017,2017-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42017,1.97,4,2017,2017-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42017,4.37,4,2017,2017-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42017,0.95,4,2017,2017-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42017,2.23,4,2017,2017-12-31
+COR,Cencora,Numeric Transeprency,CQ42017,,4,2017,2017-12-31
+CI,Cigna,Numeric Transeprency,CQ42017,2.92,4,2017,2017-12-31
+DVA,DaVita,Numeric Transeprency,CQ42017,2.38,4,2017,2017-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42017,1.29,4,2017,2017-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42017,1.76,4,2017,2017-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42017,2.24,4,2017,2017-12-31
+HUM,Humana,Numeric Transeprency,CQ42017,2.27,4,2017,2017-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42017,3.26,4,2017,2017-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42017,2.39,4,2017,2017-12-31
+LH,Labcorp,Numeric Transeprency,CQ42017,2.46,4,2017,2017-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42017,2.08,4,2017,2017-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42017,1.92,4,2017,2017-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42017,1.61,4,2017,2017-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42017,2.24,4,2017,2017-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42017,2.8,4,2017,2017-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42017,2.07,4,2017,2017-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42017,2.35,4,2017,2017-12-31
+MMM,3M,Numeric Transeprency,CQ42017,3.09,4,2017,2017-12-31
+AME,Ametek,Numeric Transeprency,CQ42017,2.74,4,2017,2017-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42017,2.03,4,2017,2017-12-31
+BA,Boeing,Numeric Transeprency,CQ42017,2.55,4,2017,2017-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42017,1.45,4,2017,2017-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42017,2.51,4,2017,2017-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42017,3.05,4,2017,2017-12-31
+CMI,Cummins,Numeric Transeprency,CQ42017,3.78,4,2017,2017-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42017,3.43,4,2017,2017-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42017,3.18,4,2017,2017-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42017,2.67,4,2017,2017-12-31
+EFX,Equifax,Numeric Transeprency,CQ42017,2.21,4,2017,2017-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42017,,4,2017,2017-12-31
+FDX,FedEx,Numeric Transeprency,CQ42017,1.74,4,2017,2017-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42017,4.68,4,2017,2017-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42017,3.27,4,2017,2017-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42017,4.18,4,2017,2017-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42017,4.01,4,2017,2017-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42017,1.94,4,2017,2017-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42017,2.27,4,2017,2017-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42017,1.9,4,2017,2017-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42017,2.61,4,2017,2017-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42017,2.97,4,2017,2017-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42017,3.07,4,2017,2017-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42017,3.17,4,2017,2017-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42017,2.22,4,2017,2017-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42017,1.96,4,2017,2017-12-31
+WM,Waste Management,Numeric Transeprency,CQ42017,3.67,4,2017,2017-12-31
+ACN,Accenture,Numeric Transeprency,CQ42017,2.57,4,2017,2017-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42017,2.54,4,2017,2017-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42017,2.05,4,2017,2017-12-31
+APH,Amphenol,Numeric Transeprency,CQ42017,2.14,4,2017,2017-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42017,2.43,4,2017,2017-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42017,2.89,4,2017,2017-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42017,2.97,4,2017,2017-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42017,1.21,4,2017,2017-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42017,2.99,4,2017,2017-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42017,2.06,4,2017,2017-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42017,1.95,4,2017,2017-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42017,3.02,4,2017,2017-12-31
+IBM,IBM,Numeric Transeprency,CQ42017,1.89,4,2017,2017-12-31
+INTC,Intel,Numeric Transeprency,CQ42017,2.85,4,2017,2017-12-31
+INTU,Intuit,Numeric Transeprency,CQ42017,1.47,4,2017,2017-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42017,2.42,4,2017,2017-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42017,2.45,4,2017,2017-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42017,2.66,4,2017,2017-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42017,4.33,4,2017,2017-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42017,1.91,4,2017,2017-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42017,1.87,4,2017,2017-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42017,2.28,4,2017,2017-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42017,3.16,4,2017,2017-12-31
+APD,Air Products,Numeric Transeprency,CQ42017,3.34,4,2017,2017-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42017,1.38,4,2017,2017-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42017,1.69,4,2017,2017-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42017,1.8,4,2017,2017-12-31
+IP,International Paper,Numeric Transeprency,CQ42017,1.73,4,2017,2017-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42017,1.88,4,2017,2017-12-31
+NEM,Newmont,Numeric Transeprency,CQ42017,2.56,4,2017,2017-12-31
+NUE,Nucor,Numeric Transeprency,CQ42017,1.48,4,2017,2017-12-31
+AMT,American Tower,Numeric Transeprency,CQ42017,2.76,4,2017,2017-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42017,1.94,4,2017,2017-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42017,2.4,4,2017,2017-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42017,3.17,4,2017,2017-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42017,2.87,4,2017,2017-12-31
+PLD,Prologis,Numeric Transeprency,CQ42017,2.68,4,2017,2017-12-31
+VTR,Ventas,Numeric Transeprency,CQ42017,2.29,4,2017,2017-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42017,2.51,4,2017,2017-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42017,2.91,4,2017,2017-12-31
+AEE,Ameren,Numeric Transeprency,CQ42017,3.15,4,2017,2017-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42017,4.15,4,2017,2017-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42017,2.54,4,2017,2017-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42017,3.18,4,2017,2017-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42017,2.2,4,2017,2017-12-31
+EIX,Edison International,Numeric Transeprency,CQ42017,2.48,4,2017,2017-12-31
+ETR,Entergy,Numeric Transeprency,CQ42017,2.17,4,2017,2017-12-31
+EXC,Exelon,Numeric Transeprency,CQ42017,2.65,4,2017,2017-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42017,4.49,4,2017,2017-12-31
+SO,Southern Company,Numeric Transeprency,CQ42017,1.79,4,2017,2017-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42017,2.38,4,2017,2017-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42017,26.67,4,2017,2017-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42017,23.68,4,2017,2017-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42017,,4,2017,2017-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42017,21.05,4,2017,2017-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42017,2.56,4,2017,2017-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42017,14.29,4,2017,2017-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42017,37.5,4,2017,2017-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42017,31.03,4,2017,2017-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42017,21.74,4,2017,2017-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42017,28.57,4,2017,2017-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42017,31.03,4,2017,2017-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42017,48.39,4,2017,2017-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42017,22.58,4,2017,2017-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42017,62.07,4,2017,2017-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42017,52.0,4,2017,2017-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42017,26.92,4,2017,2017-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42017,38.46,4,2017,2017-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42017,71.43,4,2017,2017-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42017,20.0,4,2017,2017-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42017,39.39,4,2017,2017-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42017,13.95,4,2017,2017-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42017,41.94,4,2017,2017-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42017,25.71,4,2017,2017-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42017,23.53,4,2017,2017-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42017,53.85,4,2017,2017-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42017,40.0,4,2017,2017-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42017,44.44,4,2017,2017-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42017,36.84,4,2017,2017-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42017,64.0,4,2017,2017-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42017,40.63,4,2017,2017-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42017,32.0,4,2017,2017-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42017,52.63,4,2017,2017-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42017,53.33,4,2017,2017-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42017,26.67,4,2017,2017-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42017,,4,2017,2017-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42017,50.0,4,2017,2017-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42017,45.83,4,2017,2017-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42017,64.71,4,2017,2017-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42017,0.0,4,2017,2017-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42017,38.46,4,2017,2017-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42017,,4,2017,2017-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42017,31.03,4,2017,2017-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42017,25.81,4,2017,2017-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42017,69.23,4,2017,2017-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42017,25.0,4,2017,2017-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42017,25.0,4,2017,2017-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42017,22.86,4,2017,2017-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42017,50.0,4,2017,2017-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42017,46.15,4,2017,2017-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42017,31.58,4,2017,2017-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42017,39.29,4,2017,2017-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42017,44.44,4,2017,2017-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42017,70.0,4,2017,2017-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42017,22.22,4,2017,2017-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42017,52.63,4,2017,2017-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42017,38.46,4,2017,2017-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42017,,4,2017,2017-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42017,53.33,4,2017,2017-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42017,57.14,4,2017,2017-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42017,,4,2017,2017-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42017,38.89,4,2017,2017-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42017,0.0,4,2017,2017-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42017,38.46,4,2017,2017-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42017,34.78,4,2017,2017-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42017,22.22,4,2017,2017-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42017,30.43,4,2017,2017-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42017,46.15,4,2017,2017-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42017,70.59,4,2017,2017-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42017,57.14,4,2017,2017-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42017,81.25,4,2017,2017-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42017,50.0,4,2017,2017-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42017,38.46,4,2017,2017-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42017,30.56,4,2017,2017-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42017,40.0,4,2017,2017-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42017,33.33,4,2017,2017-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42017,61.54,4,2017,2017-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42017,57.89,4,2017,2017-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42017,25.93,4,2017,2017-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42017,33.33,4,2017,2017-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42017,29.17,4,2017,2017-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42017,80.0,4,2017,2017-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42017,68.42,4,2017,2017-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42017,,4,2017,2017-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42017,47.62,4,2017,2017-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42017,33.33,4,2017,2017-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42017,13.51,4,2017,2017-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42017,35.71,4,2017,2017-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42017,35.0,4,2017,2017-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42017,40.0,4,2017,2017-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42017,92.86,4,2017,2017-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42017,66.67,4,2017,2017-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42017,50.0,4,2017,2017-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42017,44.44,4,2017,2017-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42017,32.14,4,2017,2017-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42017,29.17,4,2017,2017-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42017,15.0,4,2017,2017-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42017,37.5,4,2017,2017-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42017,,4,2017,2017-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42017,56.25,4,2017,2017-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42017,46.15,4,2017,2017-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42017,29.41,4,2017,2017-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42017,76.19,4,2017,2017-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42017,46.15,4,2017,2017-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42017,55.0,4,2017,2017-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42017,55.56,4,2017,2017-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42017,45.83,4,2017,2017-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42017,65.0,4,2017,2017-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42017,40.0,4,2017,2017-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42017,48.15,4,2017,2017-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42017,45.0,4,2017,2017-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42017,75.0,4,2017,2017-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42017,57.14,4,2017,2017-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42017,86.67,4,2017,2017-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42017,37.93,4,2017,2017-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42017,77.78,4,2017,2017-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42017,42.86,4,2017,2017-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42017,26.32,4,2017,2017-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42017,40.91,4,2017,2017-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42017,64.29,4,2017,2017-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42017,29.17,4,2017,2017-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42017,46.15,4,2017,2017-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42017,20.0,4,2017,2017-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42017,59.09,4,2017,2017-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42017,43.48,4,2017,2017-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42017,23.81,4,2017,2017-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42017,76.47,4,2017,2017-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42017,,4,2017,2017-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42017,0.0,4,2017,2017-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42017,35.29,4,2017,2017-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42017,47.62,4,2017,2017-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42017,50.0,4,2017,2017-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42017,47.62,4,2017,2017-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42017,59.26,4,2017,2017-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42017,38.89,4,2017,2017-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42017,63.64,4,2017,2017-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42017,40.0,4,2017,2017-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42017,33.33,4,2017,2017-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42017,30.77,4,2017,2017-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42017,77.78,4,2017,2017-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42017,26.32,4,2017,2017-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42017,30.77,4,2017,2017-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42017,58.33,4,2017,2017-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42017,22.58,4,2017,2017-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42017,23.33,4,2017,2017-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42017,58.33,4,2017,2017-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42017,69.23,4,2017,2017-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42017,26.92,4,2017,2017-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42017,18.92,4,2017,2017-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42017,60.0,4,2017,2017-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42017,38.46,4,2017,2017-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42017,16.67,4,2017,2017-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42017,46.43,4,2017,2017-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42017,33.33,4,2017,2017-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42017,43.75,4,2017,2017-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42017,38.46,4,2017,2017-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42017,18.92,4,2017,2017-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42017,52.38,4,2017,2017-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42017,50.0,4,2017,2017-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42017,31.25,4,2017,2017-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42017,28.57,4,2017,2017-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42017,31.25,4,2017,2017-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42017,45.45,4,2017,2017-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42017,25.64,4,2017,2017-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42017,17.5,4,2017,2017-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42017,14.71,4,2017,2017-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42017,68.42,4,2017,2017-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42017,77.78,4,2017,2017-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42017,65.22,4,2017,2017-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42017,42.86,4,2017,2017-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42017,58.82,4,2017,2017-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42017,35.71,4,2017,2017-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42017,28.57,4,2017,2017-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42017,40.0,4,2017,2017-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42017,41.18,4,2017,2017-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42017,36.36,4,2017,2017-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42017,50.0,4,2017,2017-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42017,66.67,4,2017,2017-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42017,80.0,4,2017,2017-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42017,42.86,4,2017,2017-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42017,44.44,4,2017,2017-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42017,69.23,4,2017,2017-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42017,30.0,4,2017,2017-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42017,10.0,4,2017,2017-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42017,11.11,4,2017,2017-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42017,25.0,4,2017,2017-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42017,35.29,4,2017,2017-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42017,55.56,4,2017,2017-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42017,40.0,4,2017,2017-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42017,37.5,4,2017,2017-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42017,29.41,4,2017,2017-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42017,41.18,4,2017,2017-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42017,61.11,4,2017,2017-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42017,50.0,4,2017,2017-12-31
+T,AT&T,Language Complexity,CQ42017,11.66,4,2017,2017-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42017,11.54,4,2017,2017-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42017,,4,2017,2017-12-31
+META,Meta Platforms,Language Complexity,CQ42017,12.0,4,2017,2017-12-31
+NFLX,Netflix,Language Complexity,CQ42017,12.1,4,2017,2017-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42017,15.86,4,2017,2017-12-31
+OMC,Omnicom Group,Language Complexity,CQ42017,13.51,4,2017,2017-12-31
+VZ,Verizon,Language Complexity,CQ42017,12.36,4,2017,2017-12-31
+AMZN,Amazon,Language Complexity,CQ42017,12.91,4,2017,2017-12-31
+AZO,AutoZone,Language Complexity,CQ42017,12.53,4,2017,2017-12-31
+BBY,Best Buy,Language Complexity,CQ42017,13.54,4,2017,2017-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42017,11.96,4,2017,2017-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42017,14.23,4,2017,2017-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42017,10.32,4,2017,2017-12-31
+F,Ford Motor Company,Language Complexity,CQ42017,10.69,4,2017,2017-12-31
+GM,General Motors,Language Complexity,CQ42017,13.13,4,2017,2017-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42017,13.08,4,2017,2017-12-31
+HAS,Hasbro,Language Complexity,CQ42017,12.03,4,2017,2017-12-31
+LOW,Lowe's,Language Complexity,CQ42017,13.98,4,2017,2017-12-31
+MCD,McDonald's,Language Complexity,CQ42017,13.17,4,2017,2017-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42017,13.6,4,2017,2017-12-31
+ROST,Ross Stores,Language Complexity,CQ42017,10.68,4,2017,2017-12-31
+TJX,TJX Companies,Language Complexity,CQ42017,11.26,4,2017,2017-12-31
+TGT,Target,Language Complexity,CQ42017,13.81,4,2017,2017-12-31
+MO,Altria,Language Complexity,CQ42017,11.88,4,2017,2017-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42017,12.39,4,2017,2017-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42017,13.52,4,2017,2017-12-31
+CLX,Clorox,Language Complexity,CQ42017,12.03,4,2017,2017-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42017,12.51,4,2017,2017-12-31
+COST,Costco,Language Complexity,CQ42017,10.45,4,2017,2017-12-31
+GIS,General Mills,Language Complexity,CQ42017,11.96,4,2017,2017-12-31
+HSY,Hershey Company,Language Complexity,CQ42017,12.09,4,2017,2017-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42017,11.19,4,2017,2017-12-31
+KR,Kroger,Language Complexity,CQ42017,12.64,4,2017,2017-12-31
+MKC,McCormick & Company,Language Complexity,CQ42017,,4,2017,2017-12-31
+PEP,PepsiCo,Language Complexity,CQ42017,12.69,4,2017,2017-12-31
+PG,Procter & Gamble,Language Complexity,CQ42017,11.6,4,2017,2017-12-31
+SYY,Sysco,Language Complexity,CQ42017,12.86,4,2017,2017-12-31
+WMT,Walmart,Language Complexity,CQ42017,15.3,4,2017,2017-12-31
+APA,APA Corporation,Language Complexity,CQ42017,12.27,4,2017,2017-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42017,,4,2017,2017-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42017,12.75,4,2017,2017-12-31
+EOG,EOG Resources,Language Complexity,CQ42017,13.18,4,2017,2017-12-31
+XOM,ExxonMobil,Language Complexity,CQ42017,11.71,4,2017,2017-12-31
+HAL,Halliburton,Language Complexity,CQ42017,12.59,4,2017,2017-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42017,13.1,4,2017,2017-12-31
+SLB,Schlumberger,Language Complexity,CQ42017,14.27,4,2017,2017-12-31
+VLO,Valero Energy,Language Complexity,CQ42017,11.22,4,2017,2017-12-31
+AFL,Aflac,Language Complexity,CQ42017,12.24,4,2017,2017-12-31
+ALL,Allstate,Language Complexity,CQ42017,13.07,4,2017,2017-12-31
+AXP,American Express,Language Complexity,CQ42017,12.81,4,2017,2017-12-31
+AIG,American International Group,Language Complexity,CQ42017,12.38,4,2017,2017-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42017,12.53,4,2017,2017-12-31
+AON,Aon plc,Language Complexity,CQ42017,13.58,4,2017,2017-12-31
+BK,BNY Mellon,Language Complexity,CQ42017,11.88,4,2017,2017-12-31
+BAC,Bank of America,Language Complexity,CQ42017,12.01,4,2017,2017-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42017,,4,2017,2017-12-31
+BLK,BlackRock,Language Complexity,CQ42017,13.77,4,2017,2017-12-31
+CME,CME Group,Language Complexity,CQ42017,11.47,4,2017,2017-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42017,,4,2017,2017-12-31
+CB,Chubb Limited,Language Complexity,CQ42017,11.86,4,2017,2017-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42017,13.38,4,2017,2017-12-31
+C,Citigroup,Language Complexity,CQ42017,12.07,4,2017,2017-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42017,11.54,4,2017,2017-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42017,13.62,4,2017,2017-12-31
+FISV,Fiserv,Language Complexity,CQ42017,13.35,4,2017,2017-12-31
+GS,Goldman Sachs,Language Complexity,CQ42017,11.99,4,2017,2017-12-31
+HIG,Hartford Financial,Language Complexity,CQ42017,12.86,4,2017,2017-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42017,12.67,4,2017,2017-12-31
+IVZ,Invesco,Language Complexity,CQ42017,12.33,4,2017,2017-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42017,11.62,4,2017,2017-12-31
+KEY,KeyCorp,Language Complexity,CQ42017,12.03,4,2017,2017-12-31
+MA,Mastercard,Language Complexity,CQ42017,12.46,4,2017,2017-12-31
+MET,MetLife,Language Complexity,CQ42017,13.28,4,2017,2017-12-31
+MS,Morgan Stanley,Language Complexity,CQ42017,11.88,4,2017,2017-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42017,15.75,4,2017,2017-12-31
+NTRS,Northern Trust,Language Complexity,CQ42017,11.71,4,2017,2017-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42017,10.48,4,2017,2017-12-31
+PRU,Prudential Financial,Language Complexity,CQ42017,13.8,4,2017,2017-12-31
+RF,Regions Financial,Language Complexity,CQ42017,13.02,4,2017,2017-12-31
+SPGI,S&P Global,Language Complexity,CQ42017,12.22,4,2017,2017-12-31
+STT,State Street,Language Complexity,CQ42017,10.99,4,2017,2017-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42017,,4,2017,2017-12-31
+TRV,Travelers Companies,Language Complexity,CQ42017,12.71,4,2017,2017-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42017,11.18,4,2017,2017-12-31
+V,Visa,Language Complexity,CQ42017,12.57,4,2017,2017-12-31
+WFC,Wells Fargo,Language Complexity,CQ42017,13.3,4,2017,2017-12-31
+ABBV,AbbVie,Language Complexity,CQ42017,14.17,4,2017,2017-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42017,11.04,4,2017,2017-12-31
+A,Agilent Technologies,Language Complexity,CQ42017,11.04,4,2017,2017-12-31
+AMGN,Amgen,Language Complexity,CQ42017,13.35,4,2017,2017-12-31
+BAX,Baxter International,Language Complexity,CQ42017,12.89,4,2017,2017-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42017,12.43,4,2017,2017-12-31
+BIIB,Biogen,Language Complexity,CQ42017,13.2,4,2017,2017-12-31
+BSX,Boston Scientific,Language Complexity,CQ42017,13.0,4,2017,2017-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42017,11.54,4,2017,2017-12-31
+CVS,CVS Health,Language Complexity,CQ42017,12.96,4,2017,2017-12-31
+COR,Cencora,Language Complexity,CQ42017,,4,2017,2017-12-31
+CI,Cigna,Language Complexity,CQ42017,16.11,4,2017,2017-12-31
+DVA,DaVita,Language Complexity,CQ42017,12.34,4,2017,2017-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42017,13.75,4,2017,2017-12-31
+LLY,Eli Lilly,Language Complexity,CQ42017,11.63,4,2017,2017-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42017,11.89,4,2017,2017-12-31
+HUM,Humana,Language Complexity,CQ42017,14.47,4,2017,2017-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42017,12.03,4,2017,2017-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42017,12.91,4,2017,2017-12-31
+LH,Labcorp,Language Complexity,CQ42017,14.52,4,2017,2017-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42017,14.29,4,2017,2017-12-31
+MDT,Medtronic,Language Complexity,CQ42017,13.45,4,2017,2017-12-31
+MRK,Merck & Co.,Language Complexity,CQ42017,13.88,4,2017,2017-12-31
+PFE,Pfizer,Language Complexity,CQ42017,12.92,4,2017,2017-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42017,12.18,4,2017,2017-12-31
+WAT,Waters Corporation,Language Complexity,CQ42017,12.64,4,2017,2017-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42017,13.1,4,2017,2017-12-31
+MMM,3M,Language Complexity,CQ42017,10.87,4,2017,2017-12-31
+AME,Ametek,Language Complexity,CQ42017,11.38,4,2017,2017-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42017,12.98,4,2017,2017-12-31
+BA,Boeing,Language Complexity,CQ42017,12.84,4,2017,2017-12-31
+CSX,CSX Corporation,Language Complexity,CQ42017,10.8,4,2017,2017-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42017,11.76,4,2017,2017-12-31
+CTAS,Cintas,Language Complexity,CQ42017,11.18,4,2017,2017-12-31
+CMI,Cummins,Language Complexity,CQ42017,12.38,4,2017,2017-12-31
+DE,Deere & Company,Language Complexity,CQ42017,12.41,4,2017,2017-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42017,11.05,4,2017,2017-12-31
+EMR,Emerson Electric,Language Complexity,CQ42017,12.05,4,2017,2017-12-31
+EFX,Equifax,Language Complexity,CQ42017,13.74,4,2017,2017-12-31
+EXPD,Expeditors International,Language Complexity,CQ42017,,4,2017,2017-12-31
+FDX,FedEx,Language Complexity,CQ42017,12.33,4,2017,2017-12-31
+GE,GE Aerospace,Language Complexity,CQ42017,11.54,4,2017,2017-12-31
+GD,General Dynamics,Language Complexity,CQ42017,11.39,4,2017,2017-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42017,11.46,4,2017,2017-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42017,12.64,4,2017,2017-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42017,11.51,4,2017,2017-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42017,12.96,4,2017,2017-12-31
+PCAR,Paccar,Language Complexity,CQ42017,10.52,4,2017,2017-12-31
+RTX,RTX Corporation,Language Complexity,CQ42017,10.57,4,2017,2017-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42017,12.41,4,2017,2017-12-31
+ROP,Roper Technologies,Language Complexity,CQ42017,9.69,4,2017,2017-12-31
+SNA,Snap-on,Language Complexity,CQ42017,11.84,4,2017,2017-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42017,13.89,4,2017,2017-12-31
+UPS,United Parcel Service,Language Complexity,CQ42017,11.46,4,2017,2017-12-31
+WM,Waste Management,Language Complexity,CQ42017,11.63,4,2017,2017-12-31
+ACN,Accenture,Language Complexity,CQ42017,13.33,4,2017,2017-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42017,14.4,4,2017,2017-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42017,12.8,4,2017,2017-12-31
+APH,Amphenol,Language Complexity,CQ42017,14.12,4,2017,2017-12-31
+ADI,Analog Devices,Language Complexity,CQ42017,12.54,4,2017,2017-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42017,11.11,4,2017,2017-12-31
+AMAT,Applied Materials,Language Complexity,CQ42017,11.98,4,2017,2017-12-31
+ADSK,Autodesk,Language Complexity,CQ42017,11.71,4,2017,2017-12-31
+AVGO,Broadcom,Language Complexity,CQ42017,11.92,4,2017,2017-12-31
+CSCO,Cisco,Language Complexity,CQ42017,12.79,4,2017,2017-12-31
+CTSH,Cognizant,Language Complexity,CQ42017,14.11,4,2017,2017-12-31
+HPQ,HP Inc.,Language Complexity,CQ42017,11.77,4,2017,2017-12-31
+IBM,IBM,Language Complexity,CQ42017,13.09,4,2017,2017-12-31
+INTC,Intel,Language Complexity,CQ42017,11.61,4,2017,2017-12-31
+INTU,Intuit,Language Complexity,CQ42017,10.41,4,2017,2017-12-31
+LRCX,Lam Research,Language Complexity,CQ42017,13.32,4,2017,2017-12-31
+MU,Micron Technology,Language Complexity,CQ42017,13.49,4,2017,2017-12-31
+MSFT,Microsoft,Language Complexity,CQ42017,14.49,4,2017,2017-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42017,11.08,4,2017,2017-12-31
+NTAP,NetApp,Language Complexity,CQ42017,12.76,4,2017,2017-12-31
+NVDA,Nvidia,Language Complexity,CQ42017,12.68,4,2017,2017-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42017,11.55,4,2017,2017-12-31
+TXN,Texas Instruments,Language Complexity,CQ42017,11.3,4,2017,2017-12-31
+APD,Air Products,Language Complexity,CQ42017,11.3,4,2017,2017-12-31
+AVY,Avery Dennison,Language Complexity,CQ42017,12.98,4,2017,2017-12-31
+ECL,Ecolab,Language Complexity,CQ42017,9.85,4,2017,2017-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42017,12.08,4,2017,2017-12-31
+IP,International Paper,Language Complexity,CQ42017,11.92,4,2017,2017-12-31
+LIN,Linde plc,Language Complexity,CQ42017,11.49,4,2017,2017-12-31
+NEM,Newmont,Language Complexity,CQ42017,12.26,4,2017,2017-12-31
+NUE,Nucor,Language Complexity,CQ42017,11.95,4,2017,2017-12-31
+AMT,American Tower,Language Complexity,CQ42017,14.24,4,2017,2017-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42017,11.83,4,2017,2017-12-31
+EQR,Equity Residential,Language Complexity,CQ42017,11.67,4,2017,2017-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42017,12.01,4,2017,2017-12-31
+IRM,Iron Mountain,Language Complexity,CQ42017,13.01,4,2017,2017-12-31
+PLD,Prologis,Language Complexity,CQ42017,10.49,4,2017,2017-12-31
+VTR,Ventas,Language Complexity,CQ42017,12.49,4,2017,2017-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42017,11.83,4,2017,2017-12-31
+AES,AES Corporation,Language Complexity,CQ42017,11.67,4,2017,2017-12-31
+AEE,Ameren,Language Complexity,CQ42017,14.0,4,2017,2017-12-31
+AEP,American Electric Power,Language Complexity,CQ42017,13.6,4,2017,2017-12-31
+CMS,CMS Energy,Language Complexity,CQ42017,14.2,4,2017,2017-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42017,12.6,4,2017,2017-12-31
+DUK,Duke Energy,Language Complexity,CQ42017,13.42,4,2017,2017-12-31
+EIX,Edison International,Language Complexity,CQ42017,14.45,4,2017,2017-12-31
+ETR,Entergy,Language Complexity,CQ42017,12.96,4,2017,2017-12-31
+EXC,Exelon,Language Complexity,CQ42017,12.91,4,2017,2017-12-31
+NEE,NextEra Energy,Language Complexity,CQ42017,15.92,4,2017,2017-12-31
+SO,Southern Company,Language Complexity,CQ42017,11.51,4,2017,2017-12-31
+XEL,Xcel Energy,Language Complexity,CQ42017,11.77,4,2017,2017-12-31
+T,AT&T,Net Positivity,CQ12018,1.78,1,2018,2018-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12018,1.81,1,2018,2018-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12018,,1,2018,2018-03-31
+META,Meta Platforms,Net Positivity,CQ12018,1.32,1,2018,2018-03-31
+NFLX,Netflix,Net Positivity,CQ12018,1.31,1,2018,2018-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12018,1.19,1,2018,2018-03-31
+OMC,Omnicom Group,Net Positivity,CQ12018,0.86,1,2018,2018-03-31
+VZ,Verizon,Net Positivity,CQ12018,1.19,1,2018,2018-03-31
+AMZN,Amazon,Net Positivity,CQ12018,1.45,1,2018,2018-03-31
+AZO,AutoZone,Net Positivity,CQ12018,0.74,1,2018,2018-03-31
+BBY,Best Buy,Net Positivity,CQ12018,1.36,1,2018,2018-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12018,1.67,1,2018,2018-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12018,1.58,1,2018,2018-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12018,1.04,1,2018,2018-03-31
+F,Ford Motor Company,Net Positivity,CQ12018,0.78,1,2018,2018-03-31
+GM,General Motors,Net Positivity,CQ12018,1.15,1,2018,2018-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12018,2.15,1,2018,2018-03-31
+HAS,Hasbro,Net Positivity,CQ12018,1.55,1,2018,2018-03-31
+LOW,Lowe's,Net Positivity,CQ12018,2.31,1,2018,2018-03-31
+MCD,McDonald's,Net Positivity,CQ12018,2.41,1,2018,2018-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12018,2.29,1,2018,2018-03-31
+ROST,Ross Stores,Net Positivity,CQ12018,1.56,1,2018,2018-03-31
+TJX,TJX Companies,Net Positivity,CQ12018,1.57,1,2018,2018-03-31
+TGT,Target,Net Positivity,CQ12018,1.33,1,2018,2018-03-31
+MO,Altria,Net Positivity,CQ12018,0.9,1,2018,2018-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12018,1.27,1,2018,2018-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12018,1.43,1,2018,2018-03-31
+CLX,Clorox,Net Positivity,CQ12018,1.58,1,2018,2018-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12018,1.45,1,2018,2018-03-31
+COST,Costco,Net Positivity,CQ12018,1.11,1,2018,2018-03-31
+GIS,General Mills,Net Positivity,CQ12018,1.39,1,2018,2018-03-31
+HSY,Hershey Company,Net Positivity,CQ12018,1.29,1,2018,2018-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12018,1.05,1,2018,2018-03-31
+KR,Kroger,Net Positivity,CQ12018,1.06,1,2018,2018-03-31
+MKC,McCormick & Company,Net Positivity,CQ12018,1.64,1,2018,2018-03-31
+PEP,PepsiCo,Net Positivity,CQ12018,1.52,1,2018,2018-03-31
+PG,Procter & Gamble,Net Positivity,CQ12018,1.21,1,2018,2018-03-31
+SYY,Sysco,Net Positivity,CQ12018,1.21,1,2018,2018-03-31
+WMT,Walmart,Net Positivity,CQ12018,1.55,1,2018,2018-03-31
+APA,APA Corporation,Net Positivity,CQ12018,1.01,1,2018,2018-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12018,,1,2018,2018-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12018,0.9,1,2018,2018-03-31
+EOG,EOG Resources,Net Positivity,CQ12018,1.23,1,2018,2018-03-31
+XOM,ExxonMobil,Net Positivity,CQ12018,0.6,1,2018,2018-03-31
+HAL,Halliburton,Net Positivity,CQ12018,1.56,1,2018,2018-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12018,1.97,1,2018,2018-03-31
+SLB,Schlumberger,Net Positivity,CQ12018,0.81,1,2018,2018-03-31
+VLO,Valero Energy,Net Positivity,CQ12018,0.46,1,2018,2018-03-31
+AFL,Aflac,Net Positivity,CQ12018,1.35,1,2018,2018-03-31
+ALL,Allstate,Net Positivity,CQ12018,,1,2018,2018-03-31
+AXP,American Express,Net Positivity,CQ12018,1.24,1,2018,2018-03-31
+AIG,American International Group,Net Positivity,CQ12018,0.62,1,2018,2018-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12018,1.71,1,2018,2018-03-31
+AON,Aon plc,Net Positivity,CQ12018,1.59,1,2018,2018-03-31
+BK,BNY Mellon,Net Positivity,CQ12018,0.97,1,2018,2018-03-31
+BAC,Bank of America,Net Positivity,CQ12018,0.98,1,2018,2018-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12018,,1,2018,2018-03-31
+BLK,BlackRock,Net Positivity,CQ12018,1.3,1,2018,2018-03-31
+CME,CME Group,Net Positivity,CQ12018,0.87,1,2018,2018-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12018,,1,2018,2018-03-31
+CB,Chubb Limited,Net Positivity,CQ12018,0.74,1,2018,2018-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12018,0.66,1,2018,2018-03-31
+C,Citigroup,Net Positivity,CQ12018,1.1,1,2018,2018-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12018,1.59,1,2018,2018-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12018,1.39,1,2018,2018-03-31
+FISV,Fiserv,Net Positivity,CQ12018,1.2,1,2018,2018-03-31
+GS,Goldman Sachs,Net Positivity,CQ12018,0.4,1,2018,2018-03-31
+HIG,Hartford Financial,Net Positivity,CQ12018,1.4,1,2018,2018-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12018,1.1,1,2018,2018-03-31
+IVZ,Invesco,Net Positivity,CQ12018,0.58,1,2018,2018-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12018,1.0,1,2018,2018-03-31
+KEY,KeyCorp,Net Positivity,CQ12018,1.3,1,2018,2018-03-31
+MA,Mastercard,Net Positivity,CQ12018,0.93,1,2018,2018-03-31
+MET,MetLife,Net Positivity,CQ12018,-0.09,1,2018,2018-03-31
+MS,Morgan Stanley,Net Positivity,CQ12018,1.26,1,2018,2018-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12018,0.94,1,2018,2018-03-31
+NTRS,Northern Trust,Net Positivity,CQ12018,1.18,1,2018,2018-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12018,0.52,1,2018,2018-03-31
+PRU,Prudential Financial,Net Positivity,CQ12018,,1,2018,2018-03-31
+RF,Regions Financial,Net Positivity,CQ12018,1.48,1,2018,2018-03-31
+SPGI,S&P Global,Net Positivity,CQ12018,1.11,1,2018,2018-03-31
+STT,State Street,Net Positivity,CQ12018,1.16,1,2018,2018-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12018,,1,2018,2018-03-31
+TRV,Travelers Companies,Net Positivity,CQ12018,1.21,1,2018,2018-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12018,1.09,1,2018,2018-03-31
+V,Visa,Net Positivity,CQ12018,1.08,1,2018,2018-03-31
+WFC,Wells Fargo,Net Positivity,CQ12018,0.62,1,2018,2018-03-31
+ABBV,AbbVie,Net Positivity,CQ12018,1.75,1,2018,2018-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12018,1.56,1,2018,2018-03-31
+A,Agilent Technologies,Net Positivity,CQ12018,1.64,1,2018,2018-03-31
+AMGN,Amgen,Net Positivity,CQ12018,1.32,1,2018,2018-03-31
+BAX,Baxter International,Net Positivity,CQ12018,1.13,1,2018,2018-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12018,1.11,1,2018,2018-03-31
+BIIB,Biogen,Net Positivity,CQ12018,1.3,1,2018,2018-03-31
+BSX,Boston Scientific,Net Positivity,CQ12018,1.13,1,2018,2018-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12018,1.56,1,2018,2018-03-31
+CVS,CVS Health,Net Positivity,CQ12018,1.19,1,2018,2018-03-31
+COR,Cencora,Net Positivity,CQ12018,,1,2018,2018-03-31
+CI,Cigna,Net Positivity,CQ12018,2.17,1,2018,2018-03-31
+DVA,DaVita,Net Positivity,CQ12018,0.05,1,2018,2018-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12018,2.29,1,2018,2018-03-31
+LLY,Eli Lilly,Net Positivity,CQ12018,0.93,1,2018,2018-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12018,0.99,1,2018,2018-03-31
+HUM,Humana,Net Positivity,CQ12018,1.59,1,2018,2018-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12018,1.38,1,2018,2018-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12018,1.53,1,2018,2018-03-31
+LH,Labcorp,Net Positivity,CQ12018,1.62,1,2018,2018-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12018,1.47,1,2018,2018-03-31
+MDT,Medtronic,Net Positivity,CQ12018,1.7,1,2018,2018-03-31
+MRK,Merck & Co.,Net Positivity,CQ12018,2.07,1,2018,2018-03-31
+PFE,Pfizer,Net Positivity,CQ12018,1.01,1,2018,2018-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12018,2.32,1,2018,2018-03-31
+WAT,Waters Corporation,Net Positivity,CQ12018,1.95,1,2018,2018-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12018,1.06,1,2018,2018-03-31
+MMM,3M,Net Positivity,CQ12018,1.28,1,2018,2018-03-31
+AME,Ametek,Net Positivity,CQ12018,2.39,1,2018,2018-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12018,1.47,1,2018,2018-03-31
+BA,Boeing,Net Positivity,CQ12018,1.85,1,2018,2018-03-31
+CSX,CSX Corporation,Net Positivity,CQ12018,0.98,1,2018,2018-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12018,1.45,1,2018,2018-03-31
+CTAS,Cintas,Net Positivity,CQ12018,1.32,1,2018,2018-03-31
+CMI,Cummins,Net Positivity,CQ12018,1.05,1,2018,2018-03-31
+DE,Deere & Company,Net Positivity,CQ12018,1.25,1,2018,2018-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12018,0.51,1,2018,2018-03-31
+EMR,Emerson Electric,Net Positivity,CQ12018,1.13,1,2018,2018-03-31
+EFX,Equifax,Net Positivity,CQ12018,0.07,1,2018,2018-03-31
+EXPD,Expeditors International,Net Positivity,CQ12018,,1,2018,2018-03-31
+FDX,FedEx,Net Positivity,CQ12018,1.69,1,2018,2018-03-31
+GE,GE Aerospace,Net Positivity,CQ12018,0.86,1,2018,2018-03-31
+GD,General Dynamics,Net Positivity,CQ12018,0.87,1,2018,2018-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12018,0.94,1,2018,2018-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12018,1.07,1,2018,2018-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12018,1.31,1,2018,2018-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12018,1.01,1,2018,2018-03-31
+PCAR,Paccar,Net Positivity,CQ12018,1.55,1,2018,2018-03-31
+RTX,RTX Corporation,Net Positivity,CQ12018,0.83,1,2018,2018-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12018,1.03,1,2018,2018-03-31
+ROP,Roper Technologies,Net Positivity,CQ12018,0.74,1,2018,2018-03-31
+SNA,Snap-on,Net Positivity,CQ12018,1.41,1,2018,2018-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12018,1.85,1,2018,2018-03-31
+UPS,United Parcel Service,Net Positivity,CQ12018,1.84,1,2018,2018-03-31
+WM,Waste Management,Net Positivity,CQ12018,1.34,1,2018,2018-03-31
+ACN,Accenture,Net Positivity,CQ12018,1.67,1,2018,2018-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12018,2.41,1,2018,2018-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12018,1.15,1,2018,2018-03-31
+APH,Amphenol,Net Positivity,CQ12018,1.87,1,2018,2018-03-31
+ADI,Analog Devices,Net Positivity,CQ12018,1.72,1,2018,2018-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12018,1.36,1,2018,2018-03-31
+AMAT,Applied Materials,Net Positivity,CQ12018,2.0,1,2018,2018-03-31
+ADSK,Autodesk,Net Positivity,CQ12018,0.64,1,2018,2018-03-31
+AVGO,Broadcom,Net Positivity,CQ12018,1.04,1,2018,2018-03-31
+CSCO,Cisco,Net Positivity,CQ12018,1.58,1,2018,2018-03-31
+CTSH,Cognizant,Net Positivity,CQ12018,1.1,1,2018,2018-03-31
+HPQ,HP Inc.,Net Positivity,CQ12018,2.0,1,2018,2018-03-31
+IBM,IBM,Net Positivity,CQ12018,1.4,1,2018,2018-03-31
+INTC,Intel,Net Positivity,CQ12018,1.33,1,2018,2018-03-31
+INTU,Intuit,Net Positivity,CQ12018,1.08,1,2018,2018-03-31
+LRCX,Lam Research,Net Positivity,CQ12018,1.21,1,2018,2018-03-31
+MU,Micron Technology,Net Positivity,CQ12018,1.44,1,2018,2018-03-31
+MSFT,Microsoft,Net Positivity,CQ12018,1.64,1,2018,2018-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12018,0.83,1,2018,2018-03-31
+NTAP,NetApp,Net Positivity,CQ12018,1.31,1,2018,2018-03-31
+NVDA,Nvidia,Net Positivity,CQ12018,1.19,1,2018,2018-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12018,0.3,1,2018,2018-03-31
+TXN,Texas Instruments,Net Positivity,CQ12018,1.43,1,2018,2018-03-31
+APD,Air Products,Net Positivity,CQ12018,1.71,1,2018,2018-03-31
+AVY,Avery Dennison,Net Positivity,CQ12018,1.26,1,2018,2018-03-31
+ECL,Ecolab,Net Positivity,CQ12018,1.03,1,2018,2018-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12018,1.19,1,2018,2018-03-31
+IP,International Paper,Net Positivity,CQ12018,1.33,1,2018,2018-03-31
+LIN,Linde plc,Net Positivity,CQ12018,1.17,1,2018,2018-03-31
+NEM,Newmont,Net Positivity,CQ12018,2.03,1,2018,2018-03-31
+NUE,Nucor,Net Positivity,CQ12018,1.4,1,2018,2018-03-31
+AMT,American Tower,Net Positivity,CQ12018,1.07,1,2018,2018-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12018,0.23,1,2018,2018-03-31
+EQR,Equity Residential,Net Positivity,CQ12018,0.47,1,2018,2018-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12018,0.45,1,2018,2018-03-31
+IRM,Iron Mountain,Net Positivity,CQ12018,1.0,1,2018,2018-03-31
+PLD,Prologis,Net Positivity,CQ12018,0.51,1,2018,2018-03-31
+VTR,Ventas,Net Positivity,CQ12018,2.0,1,2018,2018-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12018,1.07,1,2018,2018-03-31
+AES,AES Corporation,Net Positivity,CQ12018,0.79,1,2018,2018-03-31
+AEE,Ameren,Net Positivity,CQ12018,1.01,1,2018,2018-03-31
+AEP,American Electric Power,Net Positivity,CQ12018,0.59,1,2018,2018-03-31
+CMS,CMS Energy,Net Positivity,CQ12018,1.24,1,2018,2018-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12018,1.53,1,2018,2018-03-31
+DUK,Duke Energy,Net Positivity,CQ12018,1.24,1,2018,2018-03-31
+EIX,Edison International,Net Positivity,CQ12018,-0.33,1,2018,2018-03-31
+ETR,Entergy,Net Positivity,CQ12018,1.03,1,2018,2018-03-31
+EXC,Exelon,Net Positivity,CQ12018,1.2,1,2018,2018-03-31
+NEE,NextEra Energy,Net Positivity,CQ12018,1.28,1,2018,2018-03-31
+SO,Southern Company,Net Positivity,CQ12018,0.74,1,2018,2018-03-31
+XEL,Xcel Energy,Net Positivity,CQ12018,1.44,1,2018,2018-03-31
+T,AT&T,Numeric Transeprency,CQ12018,2.14,1,2018,2018-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12018,1.97,1,2018,2018-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12018,,1,2018,2018-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12018,1.73,1,2018,2018-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12018,0.9,1,2018,2018-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12018,3.34,1,2018,2018-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12018,3.87,1,2018,2018-03-31
+VZ,Verizon,Numeric Transeprency,CQ12018,2.82,1,2018,2018-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12018,1.2,1,2018,2018-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12018,2.35,1,2018,2018-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12018,2.4,1,2018,2018-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12018,1.92,1,2018,2018-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12018,3.07,1,2018,2018-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12018,2.29,1,2018,2018-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12018,2.0,1,2018,2018-03-31
+GM,General Motors,Numeric Transeprency,CQ12018,3.5,1,2018,2018-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12018,5.21,1,2018,2018-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12018,1.86,1,2018,2018-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12018,2.61,1,2018,2018-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12018,2.7,1,2018,2018-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12018,1.42,1,2018,2018-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12018,3.98,1,2018,2018-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12018,3.03,1,2018,2018-03-31
+TGT,Target,Numeric Transeprency,CQ12018,1.54,1,2018,2018-03-31
+MO,Altria,Numeric Transeprency,CQ12018,2.6,1,2018,2018-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12018,2.8,1,2018,2018-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12018,2.15,1,2018,2018-03-31
+CLX,Clorox,Numeric Transeprency,CQ12018,1.54,1,2018,2018-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12018,2.59,1,2018,2018-03-31
+COST,Costco,Numeric Transeprency,CQ12018,3.75,1,2018,2018-03-31
+GIS,General Mills,Numeric Transeprency,CQ12018,1.98,1,2018,2018-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12018,2.27,1,2018,2018-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12018,1.68,1,2018,2018-03-31
+KR,Kroger,Numeric Transeprency,CQ12018,2.68,1,2018,2018-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12018,2.21,1,2018,2018-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12018,1.61,1,2018,2018-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12018,2.49,1,2018,2018-03-31
+SYY,Sysco,Numeric Transeprency,CQ12018,1.11,1,2018,2018-03-31
+WMT,Walmart,Numeric Transeprency,CQ12018,1.55,1,2018,2018-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12018,3.1,1,2018,2018-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12018,,1,2018,2018-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12018,2.79,1,2018,2018-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12018,2.77,1,2018,2018-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12018,2.99,1,2018,2018-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12018,1.9,1,2018,2018-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12018,4.24,1,2018,2018-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12018,2.32,1,2018,2018-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12018,2.46,1,2018,2018-03-31
+AFL,Aflac,Numeric Transeprency,CQ12018,2.19,1,2018,2018-03-31
+ALL,Allstate,Numeric Transeprency,CQ12018,,1,2018,2018-03-31
+AXP,American Express,Numeric Transeprency,CQ12018,3.0,1,2018,2018-03-31
+AIG,American International Group,Numeric Transeprency,CQ12018,1.72,1,2018,2018-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12018,2.76,1,2018,2018-03-31
+AON,Aon plc,Numeric Transeprency,CQ12018,3.56,1,2018,2018-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12018,2.48,1,2018,2018-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12018,3.61,1,2018,2018-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12018,,1,2018,2018-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12018,2.57,1,2018,2018-03-31
+CME,CME Group,Numeric Transeprency,CQ12018,1.63,1,2018,2018-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12018,,1,2018,2018-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12018,2.45,1,2018,2018-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12018,3.33,1,2018,2018-03-31
+C,Citigroup,Numeric Transeprency,CQ12018,3.36,1,2018,2018-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12018,3.38,1,2018,2018-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12018,4.42,1,2018,2018-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12018,3.39,1,2018,2018-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12018,2.21,1,2018,2018-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12018,3.15,1,2018,2018-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12018,3.01,1,2018,2018-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12018,1.91,1,2018,2018-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12018,2.61,1,2018,2018-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12018,3.1,1,2018,2018-03-31
+MA,Mastercard,Numeric Transeprency,CQ12018,2.53,1,2018,2018-03-31
+MET,MetLife,Numeric Transeprency,CQ12018,3.17,1,2018,2018-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12018,3.33,1,2018,2018-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12018,2.43,1,2018,2018-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12018,3.32,1,2018,2018-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12018,3.38,1,2018,2018-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12018,,1,2018,2018-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12018,3.17,1,2018,2018-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12018,3.0,1,2018,2018-03-31
+STT,State Street,Numeric Transeprency,CQ12018,2.69,1,2018,2018-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12018,,1,2018,2018-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12018,2.5,1,2018,2018-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12018,2.95,1,2018,2018-03-31
+V,Visa,Numeric Transeprency,CQ12018,2.38,1,2018,2018-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12018,2.61,1,2018,2018-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12018,2.87,1,2018,2018-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12018,2.16,1,2018,2018-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12018,1.63,1,2018,2018-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12018,2.61,1,2018,2018-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12018,3.66,1,2018,2018-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12018,3.11,1,2018,2018-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12018,3.78,1,2018,2018-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12018,6.25,1,2018,2018-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12018,1.54,1,2018,2018-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12018,2.48,1,2018,2018-03-31
+COR,Cencora,Numeric Transeprency,CQ12018,,1,2018,2018-03-31
+CI,Cigna,Numeric Transeprency,CQ12018,3.26,1,2018,2018-03-31
+DVA,DaVita,Numeric Transeprency,CQ12018,2.25,1,2018,2018-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12018,2.32,1,2018,2018-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12018,2.0,1,2018,2018-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12018,2.52,1,2018,2018-03-31
+HUM,Humana,Numeric Transeprency,CQ12018,2.83,1,2018,2018-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12018,3.63,1,2018,2018-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12018,3.17,1,2018,2018-03-31
+LH,Labcorp,Numeric Transeprency,CQ12018,2.66,1,2018,2018-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12018,1.9,1,2018,2018-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12018,2.06,1,2018,2018-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12018,1.83,1,2018,2018-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12018,2.65,1,2018,2018-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12018,4.09,1,2018,2018-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12018,2.51,1,2018,2018-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12018,1.25,1,2018,2018-03-31
+MMM,3M,Numeric Transeprency,CQ12018,3.49,1,2018,2018-03-31
+AME,Ametek,Numeric Transeprency,CQ12018,3.99,1,2018,2018-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12018,1.91,1,2018,2018-03-31
+BA,Boeing,Numeric Transeprency,CQ12018,2.72,1,2018,2018-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12018,1.88,1,2018,2018-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12018,2.63,1,2018,2018-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12018,2.93,1,2018,2018-03-31
+CMI,Cummins,Numeric Transeprency,CQ12018,5.03,1,2018,2018-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12018,3.59,1,2018,2018-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12018,3.21,1,2018,2018-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12018,2.23,1,2018,2018-03-31
+EFX,Equifax,Numeric Transeprency,CQ12018,3.12,1,2018,2018-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12018,,1,2018,2018-03-31
+FDX,FedEx,Numeric Transeprency,CQ12018,2.08,1,2018,2018-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12018,4.75,1,2018,2018-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12018,5.22,1,2018,2018-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12018,4.88,1,2018,2018-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12018,4.03,1,2018,2018-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12018,2.96,1,2018,2018-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12018,2.64,1,2018,2018-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12018,2.57,1,2018,2018-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12018,3.42,1,2018,2018-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12018,2.85,1,2018,2018-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12018,3.15,1,2018,2018-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12018,3.6,1,2018,2018-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12018,2.68,1,2018,2018-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12018,2.98,1,2018,2018-03-31
+WM,Waste Management,Numeric Transeprency,CQ12018,3.38,1,2018,2018-03-31
+ACN,Accenture,Numeric Transeprency,CQ12018,2.82,1,2018,2018-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12018,1.67,1,2018,2018-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12018,2.46,1,2018,2018-03-31
+APH,Amphenol,Numeric Transeprency,CQ12018,3.05,1,2018,2018-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12018,2.39,1,2018,2018-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12018,3.11,1,2018,2018-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12018,3.06,1,2018,2018-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12018,2.41,1,2018,2018-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12018,1.87,1,2018,2018-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12018,2.48,1,2018,2018-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12018,2.5,1,2018,2018-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12018,2.92,1,2018,2018-03-31
+IBM,IBM,Numeric Transeprency,CQ12018,2.68,1,2018,2018-03-31
+INTC,Intel,Numeric Transeprency,CQ12018,3.58,1,2018,2018-03-31
+INTU,Intuit,Numeric Transeprency,CQ12018,1.91,1,2018,2018-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12018,2.75,1,2018,2018-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12018,2.27,1,2018,2018-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12018,2.34,1,2018,2018-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12018,3.96,1,2018,2018-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12018,1.47,1,2018,2018-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12018,2.06,1,2018,2018-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12018,2.56,1,2018,2018-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12018,3.41,1,2018,2018-03-31
+APD,Air Products,Numeric Transeprency,CQ12018,2.96,1,2018,2018-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12018,2.28,1,2018,2018-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12018,1.52,1,2018,2018-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12018,3.16,1,2018,2018-03-31
+IP,International Paper,Numeric Transeprency,CQ12018,2.68,1,2018,2018-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12018,2.19,1,2018,2018-03-31
+NEM,Newmont,Numeric Transeprency,CQ12018,3.91,1,2018,2018-03-31
+NUE,Nucor,Numeric Transeprency,CQ12018,2.79,1,2018,2018-03-31
+AMT,American Tower,Numeric Transeprency,CQ12018,3.28,1,2018,2018-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12018,3.62,1,2018,2018-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12018,3.28,1,2018,2018-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12018,3.02,1,2018,2018-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12018,3.23,1,2018,2018-03-31
+PLD,Prologis,Numeric Transeprency,CQ12018,2.89,1,2018,2018-03-31
+VTR,Ventas,Numeric Transeprency,CQ12018,3.05,1,2018,2018-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12018,3.66,1,2018,2018-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12018,4.04,1,2018,2018-03-31
+AEE,Ameren,Numeric Transeprency,CQ12018,3.43,1,2018,2018-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12018,3.1,1,2018,2018-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12018,3.02,1,2018,2018-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12018,5.09,1,2018,2018-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12018,2.88,1,2018,2018-03-31
+EIX,Edison International,Numeric Transeprency,CQ12018,2.22,1,2018,2018-03-31
+ETR,Entergy,Numeric Transeprency,CQ12018,2.49,1,2018,2018-03-31
+EXC,Exelon,Numeric Transeprency,CQ12018,3.67,1,2018,2018-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12018,5.55,1,2018,2018-03-31
+SO,Southern Company,Numeric Transeprency,CQ12018,3.16,1,2018,2018-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12018,3.21,1,2018,2018-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12018,18.18,1,2018,2018-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12018,26.32,1,2018,2018-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12018,,1,2018,2018-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12018,23.68,1,2018,2018-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12018,2.33,1,2018,2018-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12018,21.43,1,2018,2018-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12018,28.57,1,2018,2018-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12018,25.81,1,2018,2018-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12018,20.0,1,2018,2018-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12018,33.33,1,2018,2018-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12018,30.77,1,2018,2018-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12018,25.81,1,2018,2018-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12018,22.58,1,2018,2018-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12018,51.85,1,2018,2018-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12018,43.48,1,2018,2018-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12018,43.48,1,2018,2018-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12018,40.0,1,2018,2018-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12018,73.33,1,2018,2018-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12018,19.35,1,2018,2018-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12018,19.05,1,2018,2018-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12018,10.53,1,2018,2018-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12018,52.17,1,2018,2018-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12018,34.62,1,2018,2018-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12018,25.93,1,2018,2018-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12018,50.0,1,2018,2018-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12018,46.67,1,2018,2018-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12018,29.41,1,2018,2018-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12018,52.94,1,2018,2018-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12018,50.0,1,2018,2018-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12018,53.33,1,2018,2018-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12018,35.0,1,2018,2018-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12018,71.43,1,2018,2018-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12018,68.75,1,2018,2018-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12018,24.0,1,2018,2018-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12018,61.54,1,2018,2018-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12018,61.54,1,2018,2018-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12018,59.09,1,2018,2018-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12018,66.67,1,2018,2018-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12018,45.45,1,2018,2018-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12018,17.39,1,2018,2018-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12018,,1,2018,2018-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12018,30.77,1,2018,2018-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12018,22.22,1,2018,2018-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12018,57.69,1,2018,2018-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12018,27.78,1,2018,2018-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12018,18.18,1,2018,2018-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12018,34.29,1,2018,2018-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12018,62.5,1,2018,2018-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12018,53.85,1,2018,2018-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12018,,1,2018,2018-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12018,36.84,1,2018,2018-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12018,52.63,1,2018,2018-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12018,70.0,1,2018,2018-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12018,38.89,1,2018,2018-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12018,52.94,1,2018,2018-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12018,28.57,1,2018,2018-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12018,,1,2018,2018-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12018,46.67,1,2018,2018-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12018,84.62,1,2018,2018-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12018,,1,2018,2018-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12018,44.44,1,2018,2018-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12018,20.0,1,2018,2018-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12018,42.86,1,2018,2018-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12018,39.13,1,2018,2018-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12018,14.81,1,2018,2018-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12018,47.83,1,2018,2018-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12018,33.33,1,2018,2018-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12018,47.06,1,2018,2018-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12018,64.29,1,2018,2018-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12018,81.25,1,2018,2018-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12018,42.86,1,2018,2018-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12018,29.63,1,2018,2018-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12018,21.62,1,2018,2018-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12018,56.25,1,2018,2018-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12018,32.14,1,2018,2018-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12018,61.54,1,2018,2018-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12018,63.16,1,2018,2018-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12018,30.77,1,2018,2018-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12018,,1,2018,2018-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12018,20.0,1,2018,2018-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12018,58.82,1,2018,2018-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12018,61.11,1,2018,2018-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12018,,1,2018,2018-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12018,50.0,1,2018,2018-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12018,17.24,1,2018,2018-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12018,19.44,1,2018,2018-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12018,28.57,1,2018,2018-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12018,38.1,1,2018,2018-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12018,29.17,1,2018,2018-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12018,73.33,1,2018,2018-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12018,65.22,1,2018,2018-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12018,47.06,1,2018,2018-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12018,80.0,1,2018,2018-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12018,37.5,1,2018,2018-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12018,20.83,1,2018,2018-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12018,50.0,1,2018,2018-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12018,47.37,1,2018,2018-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12018,,1,2018,2018-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12018,70.59,1,2018,2018-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12018,100.0,1,2018,2018-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12018,33.33,1,2018,2018-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12018,65.22,1,2018,2018-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12018,48.28,1,2018,2018-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12018,42.86,1,2018,2018-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12018,33.33,1,2018,2018-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12018,50.0,1,2018,2018-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12018,52.94,1,2018,2018-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12018,58.82,1,2018,2018-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12018,50.0,1,2018,2018-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12018,31.82,1,2018,2018-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12018,72.73,1,2018,2018-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12018,43.75,1,2018,2018-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12018,58.82,1,2018,2018-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12018,25.0,1,2018,2018-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12018,53.85,1,2018,2018-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12018,35.71,1,2018,2018-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12018,33.33,1,2018,2018-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12018,23.08,1,2018,2018-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12018,55.56,1,2018,2018-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12018,43.48,1,2018,2018-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12018,35.71,1,2018,2018-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12018,25.0,1,2018,2018-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12018,60.87,1,2018,2018-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12018,31.82,1,2018,2018-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12018,44.44,1,2018,2018-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12018,70.59,1,2018,2018-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12018,,1,2018,2018-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12018,0.0,1,2018,2018-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12018,40.0,1,2018,2018-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12018,35.0,1,2018,2018-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12018,66.67,1,2018,2018-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12018,45.0,1,2018,2018-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12018,66.67,1,2018,2018-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12018,37.5,1,2018,2018-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12018,60.87,1,2018,2018-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12018,52.94,1,2018,2018-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12018,15.0,1,2018,2018-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12018,36.36,1,2018,2018-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12018,66.67,1,2018,2018-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12018,30.0,1,2018,2018-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12018,18.52,1,2018,2018-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12018,54.55,1,2018,2018-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12018,31.03,1,2018,2018-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12018,31.03,1,2018,2018-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12018,68.18,1,2018,2018-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12018,64.29,1,2018,2018-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12018,26.92,1,2018,2018-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12018,16.67,1,2018,2018-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12018,50.0,1,2018,2018-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12018,47.83,1,2018,2018-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12018,14.81,1,2018,2018-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12018,42.86,1,2018,2018-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12018,45.45,1,2018,2018-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12018,38.89,1,2018,2018-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12018,36.36,1,2018,2018-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12018,21.21,1,2018,2018-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12018,65.0,1,2018,2018-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12018,44.44,1,2018,2018-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12018,24.14,1,2018,2018-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12018,30.3,1,2018,2018-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12018,53.85,1,2018,2018-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12018,68.0,1,2018,2018-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12018,34.38,1,2018,2018-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12018,20.0,1,2018,2018-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12018,21.43,1,2018,2018-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12018,66.67,1,2018,2018-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12018,63.64,1,2018,2018-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12018,60.87,1,2018,2018-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12018,38.46,1,2018,2018-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12018,46.67,1,2018,2018-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12018,60.0,1,2018,2018-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12018,14.29,1,2018,2018-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12018,50.0,1,2018,2018-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12018,38.89,1,2018,2018-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12018,27.27,1,2018,2018-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12018,40.0,1,2018,2018-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12018,54.55,1,2018,2018-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12018,80.0,1,2018,2018-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12018,28.57,1,2018,2018-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12018,33.33,1,2018,2018-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12018,66.67,1,2018,2018-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12018,45.45,1,2018,2018-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12018,27.27,1,2018,2018-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12018,44.44,1,2018,2018-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12018,35.29,1,2018,2018-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12018,46.67,1,2018,2018-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12018,35.0,1,2018,2018-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12018,38.89,1,2018,2018-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12018,38.89,1,2018,2018-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12018,30.0,1,2018,2018-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12018,27.78,1,2018,2018-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12018,38.1,1,2018,2018-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12018,0.0,1,2018,2018-03-31
+T,AT&T,Language Complexity,CQ12018,11.98,1,2018,2018-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12018,12.21,1,2018,2018-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12018,,1,2018,2018-03-31
+META,Meta Platforms,Language Complexity,CQ12018,12.06,1,2018,2018-03-31
+NFLX,Netflix,Language Complexity,CQ12018,11.41,1,2018,2018-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12018,15.17,1,2018,2018-03-31
+OMC,Omnicom Group,Language Complexity,CQ12018,14.67,1,2018,2018-03-31
+VZ,Verizon,Language Complexity,CQ12018,12.56,1,2018,2018-03-31
+AMZN,Amazon,Language Complexity,CQ12018,12.01,1,2018,2018-03-31
+AZO,AutoZone,Language Complexity,CQ12018,12.14,1,2018,2018-03-31
+BBY,Best Buy,Language Complexity,CQ12018,13.52,1,2018,2018-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12018,12.5,1,2018,2018-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12018,13.57,1,2018,2018-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12018,11.05,1,2018,2018-03-31
+F,Ford Motor Company,Language Complexity,CQ12018,11.26,1,2018,2018-03-31
+GM,General Motors,Language Complexity,CQ12018,12.01,1,2018,2018-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12018,13.72,1,2018,2018-03-31
+HAS,Hasbro,Language Complexity,CQ12018,11.66,1,2018,2018-03-31
+LOW,Lowe's,Language Complexity,CQ12018,14.13,1,2018,2018-03-31
+MCD,McDonald's,Language Complexity,CQ12018,13.63,1,2018,2018-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12018,13.92,1,2018,2018-03-31
+ROST,Ross Stores,Language Complexity,CQ12018,11.26,1,2018,2018-03-31
+TJX,TJX Companies,Language Complexity,CQ12018,11.76,1,2018,2018-03-31
+TGT,Target,Language Complexity,CQ12018,11.78,1,2018,2018-03-31
+MO,Altria,Language Complexity,CQ12018,11.9,1,2018,2018-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12018,12.42,1,2018,2018-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12018,14.41,1,2018,2018-03-31
+CLX,Clorox,Language Complexity,CQ12018,12.34,1,2018,2018-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12018,12.39,1,2018,2018-03-31
+COST,Costco,Language Complexity,CQ12018,10.07,1,2018,2018-03-31
+GIS,General Mills,Language Complexity,CQ12018,12.92,1,2018,2018-03-31
+HSY,Hershey Company,Language Complexity,CQ12018,12.47,1,2018,2018-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12018,11.71,1,2018,2018-03-31
+KR,Kroger,Language Complexity,CQ12018,12.6,1,2018,2018-03-31
+MKC,McCormick & Company,Language Complexity,CQ12018,12.6,1,2018,2018-03-31
+PEP,PepsiCo,Language Complexity,CQ12018,12.58,1,2018,2018-03-31
+PG,Procter & Gamble,Language Complexity,CQ12018,12.86,1,2018,2018-03-31
+SYY,Sysco,Language Complexity,CQ12018,12.83,1,2018,2018-03-31
+WMT,Walmart,Language Complexity,CQ12018,11.71,1,2018,2018-03-31
+APA,APA Corporation,Language Complexity,CQ12018,13.99,1,2018,2018-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12018,,1,2018,2018-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12018,12.65,1,2018,2018-03-31
+EOG,EOG Resources,Language Complexity,CQ12018,12.45,1,2018,2018-03-31
+XOM,ExxonMobil,Language Complexity,CQ12018,11.6,1,2018,2018-03-31
+HAL,Halliburton,Language Complexity,CQ12018,12.01,1,2018,2018-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12018,13.17,1,2018,2018-03-31
+SLB,Schlumberger,Language Complexity,CQ12018,13.32,1,2018,2018-03-31
+VLO,Valero Energy,Language Complexity,CQ12018,10.75,1,2018,2018-03-31
+AFL,Aflac,Language Complexity,CQ12018,13.08,1,2018,2018-03-31
+ALL,Allstate,Language Complexity,CQ12018,,1,2018,2018-03-31
+AXP,American Express,Language Complexity,CQ12018,13.23,1,2018,2018-03-31
+AIG,American International Group,Language Complexity,CQ12018,13.01,1,2018,2018-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12018,12.25,1,2018,2018-03-31
+AON,Aon plc,Language Complexity,CQ12018,13.92,1,2018,2018-03-31
+BK,BNY Mellon,Language Complexity,CQ12018,11.98,1,2018,2018-03-31
+BAC,Bank of America,Language Complexity,CQ12018,11.77,1,2018,2018-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12018,,1,2018,2018-03-31
+BLK,BlackRock,Language Complexity,CQ12018,13.99,1,2018,2018-03-31
+CME,CME Group,Language Complexity,CQ12018,11.19,1,2018,2018-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12018,,1,2018,2018-03-31
+CB,Chubb Limited,Language Complexity,CQ12018,11.56,1,2018,2018-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12018,14.23,1,2018,2018-03-31
+C,Citigroup,Language Complexity,CQ12018,12.55,1,2018,2018-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12018,12.61,1,2018,2018-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12018,13.84,1,2018,2018-03-31
+FISV,Fiserv,Language Complexity,CQ12018,12.54,1,2018,2018-03-31
+GS,Goldman Sachs,Language Complexity,CQ12018,12.64,1,2018,2018-03-31
+HIG,Hartford Financial,Language Complexity,CQ12018,12.95,1,2018,2018-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12018,13.41,1,2018,2018-03-31
+IVZ,Invesco,Language Complexity,CQ12018,11.33,1,2018,2018-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12018,11.88,1,2018,2018-03-31
+KEY,KeyCorp,Language Complexity,CQ12018,12.75,1,2018,2018-03-31
+MA,Mastercard,Language Complexity,CQ12018,12.38,1,2018,2018-03-31
+MET,MetLife,Language Complexity,CQ12018,11.9,1,2018,2018-03-31
+MS,Morgan Stanley,Language Complexity,CQ12018,12.15,1,2018,2018-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12018,15.15,1,2018,2018-03-31
+NTRS,Northern Trust,Language Complexity,CQ12018,11.59,1,2018,2018-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12018,10.8,1,2018,2018-03-31
+PRU,Prudential Financial,Language Complexity,CQ12018,,1,2018,2018-03-31
+RF,Regions Financial,Language Complexity,CQ12018,12.55,1,2018,2018-03-31
+SPGI,S&P Global,Language Complexity,CQ12018,12.69,1,2018,2018-03-31
+STT,State Street,Language Complexity,CQ12018,11.98,1,2018,2018-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12018,,1,2018,2018-03-31
+TRV,Travelers Companies,Language Complexity,CQ12018,12.95,1,2018,2018-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12018,12.53,1,2018,2018-03-31
+V,Visa,Language Complexity,CQ12018,12.8,1,2018,2018-03-31
+WFC,Wells Fargo,Language Complexity,CQ12018,12.97,1,2018,2018-03-31
+ABBV,AbbVie,Language Complexity,CQ12018,12.52,1,2018,2018-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12018,10.8,1,2018,2018-03-31
+A,Agilent Technologies,Language Complexity,CQ12018,11.64,1,2018,2018-03-31
+AMGN,Amgen,Language Complexity,CQ12018,13.96,1,2018,2018-03-31
+BAX,Baxter International,Language Complexity,CQ12018,12.47,1,2018,2018-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12018,11.21,1,2018,2018-03-31
+BIIB,Biogen,Language Complexity,CQ12018,12.96,1,2018,2018-03-31
+BSX,Boston Scientific,Language Complexity,CQ12018,12.79,1,2018,2018-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12018,11.52,1,2018,2018-03-31
+CVS,CVS Health,Language Complexity,CQ12018,12.61,1,2018,2018-03-31
+COR,Cencora,Language Complexity,CQ12018,,1,2018,2018-03-31
+CI,Cigna,Language Complexity,CQ12018,14.81,1,2018,2018-03-31
+DVA,DaVita,Language Complexity,CQ12018,10.97,1,2018,2018-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12018,12.92,1,2018,2018-03-31
+LLY,Eli Lilly,Language Complexity,CQ12018,11.13,1,2018,2018-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12018,12.86,1,2018,2018-03-31
+HUM,Humana,Language Complexity,CQ12018,14.42,1,2018,2018-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12018,12.65,1,2018,2018-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12018,14.93,1,2018,2018-03-31
+LH,Labcorp,Language Complexity,CQ12018,14.2,1,2018,2018-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12018,14.71,1,2018,2018-03-31
+MDT,Medtronic,Language Complexity,CQ12018,12.55,1,2018,2018-03-31
+MRK,Merck & Co.,Language Complexity,CQ12018,13.39,1,2018,2018-03-31
+PFE,Pfizer,Language Complexity,CQ12018,12.84,1,2018,2018-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12018,12.34,1,2018,2018-03-31
+WAT,Waters Corporation,Language Complexity,CQ12018,13.18,1,2018,2018-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12018,11.45,1,2018,2018-03-31
+MMM,3M,Language Complexity,CQ12018,11.09,1,2018,2018-03-31
+AME,Ametek,Language Complexity,CQ12018,12.22,1,2018,2018-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12018,12.97,1,2018,2018-03-31
+BA,Boeing,Language Complexity,CQ12018,13.72,1,2018,2018-03-31
+CSX,CSX Corporation,Language Complexity,CQ12018,11.48,1,2018,2018-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12018,11.38,1,2018,2018-03-31
+CTAS,Cintas,Language Complexity,CQ12018,11.22,1,2018,2018-03-31
+CMI,Cummins,Language Complexity,CQ12018,12.75,1,2018,2018-03-31
+DE,Deere & Company,Language Complexity,CQ12018,11.32,1,2018,2018-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12018,11.55,1,2018,2018-03-31
+EMR,Emerson Electric,Language Complexity,CQ12018,10.3,1,2018,2018-03-31
+EFX,Equifax,Language Complexity,CQ12018,13.86,1,2018,2018-03-31
+EXPD,Expeditors International,Language Complexity,CQ12018,,1,2018,2018-03-31
+FDX,FedEx,Language Complexity,CQ12018,12.46,1,2018,2018-03-31
+GE,GE Aerospace,Language Complexity,CQ12018,11.89,1,2018,2018-03-31
+GD,General Dynamics,Language Complexity,CQ12018,11.56,1,2018,2018-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12018,11.94,1,2018,2018-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12018,13.76,1,2018,2018-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12018,11.44,1,2018,2018-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12018,13.48,1,2018,2018-03-31
+PCAR,Paccar,Language Complexity,CQ12018,10.69,1,2018,2018-03-31
+RTX,RTX Corporation,Language Complexity,CQ12018,11.23,1,2018,2018-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12018,11.57,1,2018,2018-03-31
+ROP,Roper Technologies,Language Complexity,CQ12018,9.93,1,2018,2018-03-31
+SNA,Snap-on,Language Complexity,CQ12018,12.33,1,2018,2018-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12018,13.38,1,2018,2018-03-31
+UPS,United Parcel Service,Language Complexity,CQ12018,11.74,1,2018,2018-03-31
+WM,Waste Management,Language Complexity,CQ12018,11.7,1,2018,2018-03-31
+ACN,Accenture,Language Complexity,CQ12018,12.16,1,2018,2018-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12018,15.39,1,2018,2018-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12018,13.58,1,2018,2018-03-31
+APH,Amphenol,Language Complexity,CQ12018,14.89,1,2018,2018-03-31
+ADI,Analog Devices,Language Complexity,CQ12018,12.54,1,2018,2018-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12018,11.59,1,2018,2018-03-31
+AMAT,Applied Materials,Language Complexity,CQ12018,12.13,1,2018,2018-03-31
+ADSK,Autodesk,Language Complexity,CQ12018,12.04,1,2018,2018-03-31
+AVGO,Broadcom,Language Complexity,CQ12018,12.27,1,2018,2018-03-31
+CSCO,Cisco,Language Complexity,CQ12018,11.56,1,2018,2018-03-31
+CTSH,Cognizant,Language Complexity,CQ12018,14.52,1,2018,2018-03-31
+HPQ,HP Inc.,Language Complexity,CQ12018,12.4,1,2018,2018-03-31
+IBM,IBM,Language Complexity,CQ12018,12.48,1,2018,2018-03-31
+INTC,Intel,Language Complexity,CQ12018,12.37,1,2018,2018-03-31
+INTU,Intuit,Language Complexity,CQ12018,10.64,1,2018,2018-03-31
+LRCX,Lam Research,Language Complexity,CQ12018,13.96,1,2018,2018-03-31
+MU,Micron Technology,Language Complexity,CQ12018,13.91,1,2018,2018-03-31
+MSFT,Microsoft,Language Complexity,CQ12018,13.45,1,2018,2018-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12018,11.51,1,2018,2018-03-31
+NTAP,NetApp,Language Complexity,CQ12018,12.37,1,2018,2018-03-31
+NVDA,Nvidia,Language Complexity,CQ12018,12.45,1,2018,2018-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12018,10.9,1,2018,2018-03-31
+TXN,Texas Instruments,Language Complexity,CQ12018,11.08,1,2018,2018-03-31
+APD,Air Products,Language Complexity,CQ12018,11.9,1,2018,2018-03-31
+AVY,Avery Dennison,Language Complexity,CQ12018,13.53,1,2018,2018-03-31
+ECL,Ecolab,Language Complexity,CQ12018,11.29,1,2018,2018-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12018,11.97,1,2018,2018-03-31
+IP,International Paper,Language Complexity,CQ12018,11.85,1,2018,2018-03-31
+LIN,Linde plc,Language Complexity,CQ12018,11.3,1,2018,2018-03-31
+NEM,Newmont,Language Complexity,CQ12018,12.76,1,2018,2018-03-31
+NUE,Nucor,Language Complexity,CQ12018,11.78,1,2018,2018-03-31
+AMT,American Tower,Language Complexity,CQ12018,14.92,1,2018,2018-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12018,11.79,1,2018,2018-03-31
+EQR,Equity Residential,Language Complexity,CQ12018,11.79,1,2018,2018-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12018,11.31,1,2018,2018-03-31
+IRM,Iron Mountain,Language Complexity,CQ12018,14.23,1,2018,2018-03-31
+PLD,Prologis,Language Complexity,CQ12018,10.16,1,2018,2018-03-31
+VTR,Ventas,Language Complexity,CQ12018,12.48,1,2018,2018-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12018,11.26,1,2018,2018-03-31
+AES,AES Corporation,Language Complexity,CQ12018,11.51,1,2018,2018-03-31
+AEE,Ameren,Language Complexity,CQ12018,13.8,1,2018,2018-03-31
+AEP,American Electric Power,Language Complexity,CQ12018,12.16,1,2018,2018-03-31
+CMS,CMS Energy,Language Complexity,CQ12018,14.16,1,2018,2018-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12018,12.76,1,2018,2018-03-31
+DUK,Duke Energy,Language Complexity,CQ12018,13.39,1,2018,2018-03-31
+EIX,Edison International,Language Complexity,CQ12018,13.95,1,2018,2018-03-31
+ETR,Entergy,Language Complexity,CQ12018,13.02,1,2018,2018-03-31
+EXC,Exelon,Language Complexity,CQ12018,14.48,1,2018,2018-03-31
+NEE,NextEra Energy,Language Complexity,CQ12018,15.2,1,2018,2018-03-31
+SO,Southern Company,Language Complexity,CQ12018,11.67,1,2018,2018-03-31
+XEL,Xcel Energy,Language Complexity,CQ12018,13.06,1,2018,2018-03-31
+T,AT&T,Net Positivity,CQ22018,1.54,2,2018,2018-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22018,2.06,2,2018,2018-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22018,,2,2018,2018-06-30
+META,Meta Platforms,Net Positivity,CQ22018,1.25,2,2018,2018-06-30
+NFLX,Netflix,Net Positivity,CQ22018,1.38,2,2018,2018-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22018,1.09,2,2018,2018-06-30
+OMC,Omnicom Group,Net Positivity,CQ22018,0.78,2,2018,2018-06-30
+VZ,Verizon,Net Positivity,CQ22018,1.52,2,2018,2018-06-30
+AMZN,Amazon,Net Positivity,CQ22018,1.32,2,2018,2018-06-30
+AZO,AutoZone,Net Positivity,CQ22018,1.18,2,2018,2018-06-30
+BBY,Best Buy,Net Positivity,CQ22018,1.49,2,2018,2018-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22018,1.27,2,2018,2018-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22018,2.3,2,2018,2018-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22018,1.45,2,2018,2018-06-30
+F,Ford Motor Company,Net Positivity,CQ22018,1.19,2,2018,2018-06-30
+GM,General Motors,Net Positivity,CQ22018,1.73,2,2018,2018-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22018,1.41,2,2018,2018-06-30
+HAS,Hasbro,Net Positivity,CQ22018,0.69,2,2018,2018-06-30
+LOW,Lowe's,Net Positivity,CQ22018,2.48,2,2018,2018-06-30
+MCD,McDonald's,Net Positivity,CQ22018,1.72,2,2018,2018-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22018,2.08,2,2018,2018-06-30
+ROST,Ross Stores,Net Positivity,CQ22018,1.15,2,2018,2018-06-30
+TJX,TJX Companies,Net Positivity,CQ22018,1.46,2,2018,2018-06-30
+TGT,Target,Net Positivity,CQ22018,2.06,2,2018,2018-06-30
+MO,Altria,Net Positivity,CQ22018,0.66,2,2018,2018-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22018,1.77,2,2018,2018-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22018,1.18,2,2018,2018-06-30
+CLX,Clorox,Net Positivity,CQ22018,1.53,2,2018,2018-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22018,1.26,2,2018,2018-06-30
+COST,Costco,Net Positivity,CQ22018,1.05,2,2018,2018-06-30
+GIS,General Mills,Net Positivity,CQ22018,1.36,2,2018,2018-06-30
+HSY,Hershey Company,Net Positivity,CQ22018,1.16,2,2018,2018-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22018,1.03,2,2018,2018-06-30
+KR,Kroger,Net Positivity,CQ22018,1.21,2,2018,2018-06-30
+MKC,McCormick & Company,Net Positivity,CQ22018,1.33,2,2018,2018-06-30
+PEP,PepsiCo,Net Positivity,CQ22018,1.29,2,2018,2018-06-30
+PG,Procter & Gamble,Net Positivity,CQ22018,1.63,2,2018,2018-06-30
+SYY,Sysco,Net Positivity,CQ22018,1.21,2,2018,2018-06-30
+WMT,Walmart,Net Positivity,CQ22018,,2,2018,2018-06-30
+APA,APA Corporation,Net Positivity,CQ22018,1.52,2,2018,2018-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22018,,2,2018,2018-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22018,0.69,2,2018,2018-06-30
+EOG,EOG Resources,Net Positivity,CQ22018,1.36,2,2018,2018-06-30
+XOM,ExxonMobil,Net Positivity,CQ22018,0.69,2,2018,2018-06-30
+HAL,Halliburton,Net Positivity,CQ22018,1.21,2,2018,2018-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22018,1.38,2,2018,2018-06-30
+SLB,Schlumberger,Net Positivity,CQ22018,0.97,2,2018,2018-06-30
+VLO,Valero Energy,Net Positivity,CQ22018,0.43,2,2018,2018-06-30
+AFL,Aflac,Net Positivity,CQ22018,0.93,2,2018,2018-06-30
+ALL,Allstate,Net Positivity,CQ22018,0.53,2,2018,2018-06-30
+AXP,American Express,Net Positivity,CQ22018,1.04,2,2018,2018-06-30
+AIG,American International Group,Net Positivity,CQ22018,0.74,2,2018,2018-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22018,1.24,2,2018,2018-06-30
+AON,Aon plc,Net Positivity,CQ22018,1.77,2,2018,2018-06-30
+BK,BNY Mellon,Net Positivity,CQ22018,0.37,2,2018,2018-06-30
+BAC,Bank of America,Net Positivity,CQ22018,0.61,2,2018,2018-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22018,,2,2018,2018-06-30
+BLK,BlackRock,Net Positivity,CQ22018,1.19,2,2018,2018-06-30
+CME,CME Group,Net Positivity,CQ22018,1.64,2,2018,2018-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22018,,2,2018,2018-06-30
+CB,Chubb Limited,Net Positivity,CQ22018,-0.09,2,2018,2018-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22018,-0.45,2,2018,2018-06-30
+C,Citigroup,Net Positivity,CQ22018,1.09,2,2018,2018-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22018,1.62,2,2018,2018-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22018,1.06,2,2018,2018-06-30
+FISV,Fiserv,Net Positivity,CQ22018,1.06,2,2018,2018-06-30
+GS,Goldman Sachs,Net Positivity,CQ22018,0.96,2,2018,2018-06-30
+HIG,Hartford Financial,Net Positivity,CQ22018,1.43,2,2018,2018-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22018,1.2,2,2018,2018-06-30
+IVZ,Invesco,Net Positivity,CQ22018,0.89,2,2018,2018-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22018,0.42,2,2018,2018-06-30
+KEY,KeyCorp,Net Positivity,CQ22018,1.12,2,2018,2018-06-30
+MA,Mastercard,Net Positivity,CQ22018,0.99,2,2018,2018-06-30
+MET,MetLife,Net Positivity,CQ22018,0.88,2,2018,2018-06-30
+MS,Morgan Stanley,Net Positivity,CQ22018,0.95,2,2018,2018-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22018,1.36,2,2018,2018-06-30
+NTRS,Northern Trust,Net Positivity,CQ22018,0.81,2,2018,2018-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22018,0.01,2,2018,2018-06-30
+PRU,Prudential Financial,Net Positivity,CQ22018,0.18,2,2018,2018-06-30
+RF,Regions Financial,Net Positivity,CQ22018,1.23,2,2018,2018-06-30
+SPGI,S&P Global,Net Positivity,CQ22018,0.53,2,2018,2018-06-30
+STT,State Street,Net Positivity,CQ22018,1.07,2,2018,2018-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22018,,2,2018,2018-06-30
+TRV,Travelers Companies,Net Positivity,CQ22018,0.76,2,2018,2018-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22018,0.74,2,2018,2018-06-30
+V,Visa,Net Positivity,CQ22018,1.44,2,2018,2018-06-30
+WFC,Wells Fargo,Net Positivity,CQ22018,-0.03,2,2018,2018-06-30
+ABBV,AbbVie,Net Positivity,CQ22018,1.12,2,2018,2018-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22018,1.63,2,2018,2018-06-30
+A,Agilent Technologies,Net Positivity,CQ22018,0.81,2,2018,2018-06-30
+AMGN,Amgen,Net Positivity,CQ22018,0.85,2,2018,2018-06-30
+BAX,Baxter International,Net Positivity,CQ22018,1.2,2,2018,2018-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22018,1.93,2,2018,2018-06-30
+BIIB,Biogen,Net Positivity,CQ22018,1.56,2,2018,2018-06-30
+BSX,Boston Scientific,Net Positivity,CQ22018,1.37,2,2018,2018-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22018,1.74,2,2018,2018-06-30
+CVS,CVS Health,Net Positivity,CQ22018,1.23,2,2018,2018-06-30
+COR,Cencora,Net Positivity,CQ22018,,2,2018,2018-06-30
+CI,Cigna,Net Positivity,CQ22018,1.85,2,2018,2018-06-30
+DVA,DaVita,Net Positivity,CQ22018,0.72,2,2018,2018-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22018,1.95,2,2018,2018-06-30
+LLY,Eli Lilly,Net Positivity,CQ22018,0.84,2,2018,2018-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22018,1.34,2,2018,2018-06-30
+HUM,Humana,Net Positivity,CQ22018,1.22,2,2018,2018-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22018,0.97,2,2018,2018-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22018,1.68,2,2018,2018-06-30
+LH,Labcorp,Net Positivity,CQ22018,1.55,2,2018,2018-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22018,0.75,2,2018,2018-06-30
+MDT,Medtronic,Net Positivity,CQ22018,1.53,2,2018,2018-06-30
+MRK,Merck & Co.,Net Positivity,CQ22018,1.37,2,2018,2018-06-30
+PFE,Pfizer,Net Positivity,CQ22018,0.93,2,2018,2018-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22018,2.31,2,2018,2018-06-30
+WAT,Waters Corporation,Net Positivity,CQ22018,1.33,2,2018,2018-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22018,0.83,2,2018,2018-06-30
+MMM,3M,Net Positivity,CQ22018,0.92,2,2018,2018-06-30
+AME,Ametek,Net Positivity,CQ22018,2.44,2,2018,2018-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22018,1.81,2,2018,2018-06-30
+BA,Boeing,Net Positivity,CQ22018,1.99,2,2018,2018-06-30
+CSX,CSX Corporation,Net Positivity,CQ22018,0.83,2,2018,2018-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22018,1.56,2,2018,2018-06-30
+CTAS,Cintas,Net Positivity,CQ22018,,2,2018,2018-06-30
+CMI,Cummins,Net Positivity,CQ22018,1.14,2,2018,2018-06-30
+DE,Deere & Company,Net Positivity,CQ22018,1.33,2,2018,2018-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22018,1.26,2,2018,2018-06-30
+EMR,Emerson Electric,Net Positivity,CQ22018,1.42,2,2018,2018-06-30
+EFX,Equifax,Net Positivity,CQ22018,0.65,2,2018,2018-06-30
+EXPD,Expeditors International,Net Positivity,CQ22018,,2,2018,2018-06-30
+FDX,FedEx,Net Positivity,CQ22018,1.6,2,2018,2018-06-30
+GE,GE Aerospace,Net Positivity,CQ22018,0.72,2,2018,2018-06-30
+GD,General Dynamics,Net Positivity,CQ22018,0.6,2,2018,2018-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22018,1.22,2,2018,2018-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22018,0.99,2,2018,2018-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22018,1.73,2,2018,2018-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22018,1.36,2,2018,2018-06-30
+PCAR,Paccar,Net Positivity,CQ22018,1.61,2,2018,2018-06-30
+RTX,RTX Corporation,Net Positivity,CQ22018,0.85,2,2018,2018-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22018,1.07,2,2018,2018-06-30
+ROP,Roper Technologies,Net Positivity,CQ22018,1.12,2,2018,2018-06-30
+SNA,Snap-on,Net Positivity,CQ22018,1.2,2,2018,2018-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22018,1.44,2,2018,2018-06-30
+UPS,United Parcel Service,Net Positivity,CQ22018,1.71,2,2018,2018-06-30
+WM,Waste Management,Net Positivity,CQ22018,0.81,2,2018,2018-06-30
+ACN,Accenture,Net Positivity,CQ22018,1.77,2,2018,2018-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22018,2.4,2,2018,2018-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22018,1.15,2,2018,2018-06-30
+APH,Amphenol,Net Positivity,CQ22018,1.87,2,2018,2018-06-30
+ADI,Analog Devices,Net Positivity,CQ22018,1.17,2,2018,2018-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22018,1.76,2,2018,2018-06-30
+AMAT,Applied Materials,Net Positivity,CQ22018,1.55,2,2018,2018-06-30
+ADSK,Autodesk,Net Positivity,CQ22018,0.87,2,2018,2018-06-30
+AVGO,Broadcom,Net Positivity,CQ22018,0.86,2,2018,2018-06-30
+CSCO,Cisco,Net Positivity,CQ22018,1.58,2,2018,2018-06-30
+CTSH,Cognizant,Net Positivity,CQ22018,0.69,2,2018,2018-06-30
+HPQ,HP Inc.,Net Positivity,CQ22018,1.77,2,2018,2018-06-30
+IBM,IBM,Net Positivity,CQ22018,1.66,2,2018,2018-06-30
+INTC,Intel,Net Positivity,CQ22018,1.39,2,2018,2018-06-30
+INTU,Intuit,Net Positivity,CQ22018,1.36,2,2018,2018-06-30
+LRCX,Lam Research,Net Positivity,CQ22018,1.09,2,2018,2018-06-30
+MU,Micron Technology,Net Positivity,CQ22018,1.29,2,2018,2018-06-30
+MSFT,Microsoft,Net Positivity,CQ22018,1.66,2,2018,2018-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22018,0.7,2,2018,2018-06-30
+NTAP,NetApp,Net Positivity,CQ22018,2.42,2,2018,2018-06-30
+NVDA,Nvidia,Net Positivity,CQ22018,1.28,2,2018,2018-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22018,0.65,2,2018,2018-06-30
+TXN,Texas Instruments,Net Positivity,CQ22018,1.18,2,2018,2018-06-30
+APD,Air Products,Net Positivity,CQ22018,1.81,2,2018,2018-06-30
+AVY,Avery Dennison,Net Positivity,CQ22018,0.42,2,2018,2018-06-30
+ECL,Ecolab,Net Positivity,CQ22018,1.11,2,2018,2018-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22018,2.24,2,2018,2018-06-30
+IP,International Paper,Net Positivity,CQ22018,0.97,2,2018,2018-06-30
+LIN,Linde plc,Net Positivity,CQ22018,1.7,2,2018,2018-06-30
+NEM,Newmont,Net Positivity,CQ22018,0.59,2,2018,2018-06-30
+NUE,Nucor,Net Positivity,CQ22018,1.84,2,2018,2018-06-30
+AMT,American Tower,Net Positivity,CQ22018,0.91,2,2018,2018-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22018,0.22,2,2018,2018-06-30
+EQR,Equity Residential,Net Positivity,CQ22018,0.86,2,2018,2018-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22018,0.53,2,2018,2018-06-30
+IRM,Iron Mountain,Net Positivity,CQ22018,0.78,2,2018,2018-06-30
+PLD,Prologis,Net Positivity,CQ22018,0.4,2,2018,2018-06-30
+VTR,Ventas,Net Positivity,CQ22018,2.06,2,2018,2018-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22018,0.67,2,2018,2018-06-30
+AES,AES Corporation,Net Positivity,CQ22018,1.35,2,2018,2018-06-30
+AEE,Ameren,Net Positivity,CQ22018,0.85,2,2018,2018-06-30
+AEP,American Electric Power,Net Positivity,CQ22018,0.95,2,2018,2018-06-30
+CMS,CMS Energy,Net Positivity,CQ22018,1.69,2,2018,2018-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22018,2.14,2,2018,2018-06-30
+DUK,Duke Energy,Net Positivity,CQ22018,1.24,2,2018,2018-06-30
+EIX,Edison International,Net Positivity,CQ22018,-0.22,2,2018,2018-06-30
+ETR,Entergy,Net Positivity,CQ22018,1.13,2,2018,2018-06-30
+EXC,Exelon,Net Positivity,CQ22018,0.97,2,2018,2018-06-30
+NEE,NextEra Energy,Net Positivity,CQ22018,1.74,2,2018,2018-06-30
+SO,Southern Company,Net Positivity,CQ22018,0.9,2,2018,2018-06-30
+XEL,Xcel Energy,Net Positivity,CQ22018,1.12,2,2018,2018-06-30
+T,AT&T,Numeric Transeprency,CQ22018,1.67,2,2018,2018-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22018,1.73,2,2018,2018-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22018,,2,2018,2018-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22018,1.31,2,2018,2018-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22018,0.89,2,2018,2018-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22018,2.85,2,2018,2018-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22018,3.02,2,2018,2018-06-30
+VZ,Verizon,Numeric Transeprency,CQ22018,1.74,2,2018,2018-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22018,1.39,2,2018,2018-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22018,2.33,2,2018,2018-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22018,1.91,2,2018,2018-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22018,1.22,2,2018,2018-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22018,1.55,2,2018,2018-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22018,2.15,2,2018,2018-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22018,1.66,2,2018,2018-06-30
+GM,General Motors,Numeric Transeprency,CQ22018,2.2,2,2018,2018-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22018,3.02,2,2018,2018-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22018,1.22,2,2018,2018-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22018,1.73,2,2018,2018-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22018,1.93,2,2018,2018-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22018,1.92,2,2018,2018-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22018,3.04,2,2018,2018-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22018,2.02,2,2018,2018-06-30
+TGT,Target,Numeric Transeprency,CQ22018,1.29,2,2018,2018-06-30
+MO,Altria,Numeric Transeprency,CQ22018,1.66,2,2018,2018-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22018,2.25,2,2018,2018-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22018,2.08,2,2018,2018-06-30
+CLX,Clorox,Numeric Transeprency,CQ22018,1.47,2,2018,2018-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22018,1.05,2,2018,2018-06-30
+COST,Costco,Numeric Transeprency,CQ22018,3.33,2,2018,2018-06-30
+GIS,General Mills,Numeric Transeprency,CQ22018,2.91,2,2018,2018-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22018,2.35,2,2018,2018-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22018,1.2,2,2018,2018-06-30
+KR,Kroger,Numeric Transeprency,CQ22018,1.35,2,2018,2018-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22018,1.87,2,2018,2018-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22018,1.39,2,2018,2018-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22018,1.6,2,2018,2018-06-30
+SYY,Sysco,Numeric Transeprency,CQ22018,1.55,2,2018,2018-06-30
+WMT,Walmart,Numeric Transeprency,CQ22018,,2,2018,2018-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22018,2.17,2,2018,2018-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22018,,2,2018,2018-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22018,1.81,2,2018,2018-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22018,2.26,2,2018,2018-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22018,1.78,2,2018,2018-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22018,1.29,2,2018,2018-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22018,1.99,2,2018,2018-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22018,1.54,2,2018,2018-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22018,1.75,2,2018,2018-06-30
+AFL,Aflac,Numeric Transeprency,CQ22018,1.77,2,2018,2018-06-30
+ALL,Allstate,Numeric Transeprency,CQ22018,2.49,2,2018,2018-06-30
+AXP,American Express,Numeric Transeprency,CQ22018,2.1,2,2018,2018-06-30
+AIG,American International Group,Numeric Transeprency,CQ22018,1.66,2,2018,2018-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22018,1.76,2,2018,2018-06-30
+AON,Aon plc,Numeric Transeprency,CQ22018,3.88,2,2018,2018-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22018,1.69,2,2018,2018-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22018,3.12,2,2018,2018-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22018,,2,2018,2018-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22018,1.96,2,2018,2018-06-30
+CME,CME Group,Numeric Transeprency,CQ22018,1.42,2,2018,2018-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22018,,2,2018,2018-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22018,1.98,2,2018,2018-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22018,2.06,2,2018,2018-06-30
+C,Citigroup,Numeric Transeprency,CQ22018,2.54,2,2018,2018-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22018,2.56,2,2018,2018-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22018,3.44,2,2018,2018-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22018,2.11,2,2018,2018-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22018,1.66,2,2018,2018-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22018,2.51,2,2018,2018-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22018,1.85,2,2018,2018-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22018,1.9,2,2018,2018-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22018,2.35,2,2018,2018-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22018,2.46,2,2018,2018-06-30
+MA,Mastercard,Numeric Transeprency,CQ22018,1.5,2,2018,2018-06-30
+MET,MetLife,Numeric Transeprency,CQ22018,3.5,2,2018,2018-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22018,1.93,2,2018,2018-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22018,2.19,2,2018,2018-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22018,3.68,2,2018,2018-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22018,2.73,2,2018,2018-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22018,2.52,2,2018,2018-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22018,2.39,2,2018,2018-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22018,2.45,2,2018,2018-06-30
+STT,State Street,Numeric Transeprency,CQ22018,2.03,2,2018,2018-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22018,,2,2018,2018-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22018,2.19,2,2018,2018-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22018,2.37,2,2018,2018-06-30
+V,Visa,Numeric Transeprency,CQ22018,2.48,2,2018,2018-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22018,2.31,2,2018,2018-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22018,2.05,2,2018,2018-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22018,1.66,2,2018,2018-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22018,1.68,2,2018,2018-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22018,2.09,2,2018,2018-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22018,2.93,2,2018,2018-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22018,2.44,2,2018,2018-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22018,2.03,2,2018,2018-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22018,4.05,2,2018,2018-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22018,1.19,2,2018,2018-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22018,1.97,2,2018,2018-06-30
+COR,Cencora,Numeric Transeprency,CQ22018,,2,2018,2018-06-30
+CI,Cigna,Numeric Transeprency,CQ22018,2.03,2,2018,2018-06-30
+DVA,DaVita,Numeric Transeprency,CQ22018,2.15,2,2018,2018-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22018,1.58,2,2018,2018-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22018,1.96,2,2018,2018-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22018,2.0,2,2018,2018-06-30
+HUM,Humana,Numeric Transeprency,CQ22018,1.75,2,2018,2018-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22018,3.09,2,2018,2018-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22018,2.85,2,2018,2018-06-30
+LH,Labcorp,Numeric Transeprency,CQ22018,2.61,2,2018,2018-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22018,2.01,2,2018,2018-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22018,2.72,2,2018,2018-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22018,1.55,2,2018,2018-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22018,2.15,2,2018,2018-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22018,2.37,2,2018,2018-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22018,2.09,2,2018,2018-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22018,1.57,2,2018,2018-06-30
+MMM,3M,Numeric Transeprency,CQ22018,2.96,2,2018,2018-06-30
+AME,Ametek,Numeric Transeprency,CQ22018,3.08,2,2018,2018-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22018,1.67,2,2018,2018-06-30
+BA,Boeing,Numeric Transeprency,CQ22018,2.47,2,2018,2018-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22018,1.38,2,2018,2018-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22018,1.64,2,2018,2018-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22018,,2,2018,2018-06-30
+CMI,Cummins,Numeric Transeprency,CQ22018,3.45,2,2018,2018-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22018,2.93,2,2018,2018-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22018,2.35,2,2018,2018-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22018,1.78,2,2018,2018-06-30
+EFX,Equifax,Numeric Transeprency,CQ22018,2.57,2,2018,2018-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22018,,2,2018,2018-06-30
+FDX,FedEx,Numeric Transeprency,CQ22018,2.53,2,2018,2018-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22018,4.33,2,2018,2018-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22018,3.55,2,2018,2018-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22018,2.86,2,2018,2018-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22018,2.32,2,2018,2018-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22018,1.99,2,2018,2018-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22018,1.73,2,2018,2018-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22018,1.66,2,2018,2018-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22018,2.9,2,2018,2018-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22018,2.06,2,2018,2018-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22018,3.05,2,2018,2018-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22018,3.56,2,2018,2018-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22018,2.49,2,2018,2018-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22018,2.05,2,2018,2018-06-30
+WM,Waste Management,Numeric Transeprency,CQ22018,2.87,2,2018,2018-06-30
+ACN,Accenture,Numeric Transeprency,CQ22018,2.46,2,2018,2018-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22018,1.86,2,2018,2018-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22018,2.39,2,2018,2018-06-30
+APH,Amphenol,Numeric Transeprency,CQ22018,2.45,2,2018,2018-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22018,2.08,2,2018,2018-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22018,2.68,2,2018,2018-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22018,3.49,2,2018,2018-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22018,1.62,2,2018,2018-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22018,2.09,2,2018,2018-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22018,2.35,2,2018,2018-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22018,1.54,2,2018,2018-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22018,2.37,2,2018,2018-06-30
+IBM,IBM,Numeric Transeprency,CQ22018,2.73,2,2018,2018-06-30
+INTC,Intel,Numeric Transeprency,CQ22018,3.15,2,2018,2018-06-30
+INTU,Intuit,Numeric Transeprency,CQ22018,1.49,2,2018,2018-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22018,2.07,2,2018,2018-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22018,1.85,2,2018,2018-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22018,2.57,2,2018,2018-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22018,4.88,2,2018,2018-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22018,1.87,2,2018,2018-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22018,1.78,2,2018,2018-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22018,2.22,2,2018,2018-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22018,2.68,2,2018,2018-06-30
+APD,Air Products,Numeric Transeprency,CQ22018,3.1,2,2018,2018-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22018,2.05,2,2018,2018-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22018,1.12,2,2018,2018-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22018,2.0,2,2018,2018-06-30
+IP,International Paper,Numeric Transeprency,CQ22018,1.85,2,2018,2018-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22018,1.32,2,2018,2018-06-30
+NEM,Newmont,Numeric Transeprency,CQ22018,2.62,2,2018,2018-06-30
+NUE,Nucor,Numeric Transeprency,CQ22018,2.16,2,2018,2018-06-30
+AMT,American Tower,Numeric Transeprency,CQ22018,2.62,2,2018,2018-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22018,2.39,2,2018,2018-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22018,2.21,2,2018,2018-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22018,2.02,2,2018,2018-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22018,2.22,2,2018,2018-06-30
+PLD,Prologis,Numeric Transeprency,CQ22018,2.21,2,2018,2018-06-30
+VTR,Ventas,Numeric Transeprency,CQ22018,2.28,2,2018,2018-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22018,2.38,2,2018,2018-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22018,2.87,2,2018,2018-06-30
+AEE,Ameren,Numeric Transeprency,CQ22018,2.98,2,2018,2018-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22018,2.17,2,2018,2018-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22018,1.8,2,2018,2018-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22018,3.75,2,2018,2018-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22018,2.59,2,2018,2018-06-30
+EIX,Edison International,Numeric Transeprency,CQ22018,1.59,2,2018,2018-06-30
+ETR,Entergy,Numeric Transeprency,CQ22018,1.5,2,2018,2018-06-30
+EXC,Exelon,Numeric Transeprency,CQ22018,2.54,2,2018,2018-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22018,3.22,2,2018,2018-06-30
+SO,Southern Company,Numeric Transeprency,CQ22018,1.74,2,2018,2018-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22018,1.88,2,2018,2018-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22018,30.0,2,2018,2018-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22018,24.39,2,2018,2018-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22018,,2,2018,2018-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22018,21.95,2,2018,2018-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22018,2.38,2,2018,2018-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22018,26.67,2,2018,2018-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22018,32.26,2,2018,2018-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22018,20.0,2,2018,2018-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22018,44.0,2,2018,2018-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22018,35.71,2,2018,2018-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22018,33.33,2,2018,2018-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22018,53.13,2,2018,2018-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22018,66.67,2,2018,2018-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22018,24.0,2,2018,2018-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22018,41.67,2,2018,2018-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22018,45.45,2,2018,2018-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22018,80.0,2,2018,2018-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22018,28.57,2,2018,2018-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22018,46.88,2,2018,2018-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22018,16.67,2,2018,2018-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22018,44.44,2,2018,2018-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22018,24.14,2,2018,2018-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22018,20.0,2,2018,2018-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22018,71.43,2,2018,2018-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22018,53.33,2,2018,2018-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22018,38.89,2,2018,2018-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22018,63.64,2,2018,2018-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22018,34.48,2,2018,2018-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22018,40.0,2,2018,2018-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22018,68.75,2,2018,2018-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22018,26.92,2,2018,2018-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22018,75.0,2,2018,2018-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22018,64.0,2,2018,2018-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22018,48.0,2,2018,2018-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22018,71.43,2,2018,2018-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22018,,2,2018,2018-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22018,33.33,2,2018,2018-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22018,,2,2018,2018-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22018,23.08,2,2018,2018-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22018,29.03,2,2018,2018-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22018,52.0,2,2018,2018-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22018,32.26,2,2018,2018-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22018,30.43,2,2018,2018-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22018,21.21,2,2018,2018-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22018,52.38,2,2018,2018-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22018,35.29,2,2018,2018-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22018,25.0,2,2018,2018-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22018,42.86,2,2018,2018-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22018,63.64,2,2018,2018-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22018,21.05,2,2018,2018-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22018,45.0,2,2018,2018-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22018,34.48,2,2018,2018-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22018,,2,2018,2018-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22018,46.67,2,2018,2018-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22018,,2,2018,2018-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22018,30.0,2,2018,2018-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22018,66.67,2,2018,2018-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22018,44.44,2,2018,2018-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22018,15.38,2,2018,2018-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22018,40.91,2,2018,2018-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22018,44.44,2,2018,2018-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22018,58.82,2,2018,2018-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22018,53.33,2,2018,2018-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22018,81.25,2,2018,2018-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22018,39.29,2,2018,2018-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22018,27.27,2,2018,2018-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22018,47.37,2,2018,2018-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22018,34.62,2,2018,2018-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22018,76.92,2,2018,2018-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22018,40.0,2,2018,2018-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22018,36.84,2,2018,2018-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22018,34.78,2,2018,2018-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22018,37.5,2,2018,2018-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22018,47.37,2,2018,2018-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22018,,2,2018,2018-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22018,42.31,2,2018,2018-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22018,27.27,2,2018,2018-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22018,27.59,2,2018,2018-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22018,42.86,2,2018,2018-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22018,30.0,2,2018,2018-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22018,92.86,2,2018,2018-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22018,26.67,2,2018,2018-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22018,42.11,2,2018,2018-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22018,32.14,2,2018,2018-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22018,33.33,2,2018,2018-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22018,54.55,2,2018,2018-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22018,37.5,2,2018,2018-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22018,,2,2018,2018-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22018,66.67,2,2018,2018-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22018,33.33,2,2018,2018-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22018,35.29,2,2018,2018-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22018,61.9,2,2018,2018-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22018,48.15,2,2018,2018-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22018,47.06,2,2018,2018-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22018,53.33,2,2018,2018-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22018,39.13,2,2018,2018-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22018,57.14,2,2018,2018-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22018,37.5,2,2018,2018-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22018,33.33,2,2018,2018-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22018,55.0,2,2018,2018-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22018,65.0,2,2018,2018-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22018,66.67,2,2018,2018-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22018,68.75,2,2018,2018-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22018,46.43,2,2018,2018-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22018,57.14,2,2018,2018-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22018,20.83,2,2018,2018-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22018,64.0,2,2018,2018-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22018,30.77,2,2018,2018-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22018,,2,2018,2018-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22018,30.43,2,2018,2018-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22018,56.0,2,2018,2018-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22018,42.11,2,2018,2018-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22018,41.18,2,2018,2018-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22018,56.25,2,2018,2018-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22018,,2,2018,2018-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22018,0.0,2,2018,2018-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22018,26.67,2,2018,2018-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22018,58.33,2,2018,2018-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22018,68.75,2,2018,2018-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22018,63.16,2,2018,2018-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22018,57.69,2,2018,2018-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22018,66.67,2,2018,2018-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22018,52.17,2,2018,2018-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22018,33.33,2,2018,2018-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22018,16.67,2,2018,2018-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22018,55.56,2,2018,2018-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22018,33.33,2,2018,2018-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22018,18.52,2,2018,2018-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22018,63.64,2,2018,2018-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22018,25.93,2,2018,2018-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22018,57.69,2,2018,2018-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22018,65.22,2,2018,2018-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22018,85.71,2,2018,2018-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22018,29.63,2,2018,2018-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22018,17.5,2,2018,2018-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22018,61.54,2,2018,2018-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22018,20.83,2,2018,2018-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22018,21.05,2,2018,2018-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22018,36.67,2,2018,2018-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22018,33.33,2,2018,2018-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22018,45.0,2,2018,2018-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22018,30.43,2,2018,2018-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22018,17.95,2,2018,2018-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22018,73.68,2,2018,2018-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22018,57.14,2,2018,2018-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22018,34.38,2,2018,2018-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22018,29.41,2,2018,2018-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22018,40.0,2,2018,2018-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22018,38.24,2,2018,2018-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22018,20.59,2,2018,2018-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22018,26.47,2,2018,2018-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22018,73.68,2,2018,2018-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22018,80.0,2,2018,2018-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22018,58.33,2,2018,2018-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22018,61.54,2,2018,2018-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22018,60.0,2,2018,2018-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22018,66.67,2,2018,2018-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22018,23.53,2,2018,2018-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22018,25.0,2,2018,2018-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22018,57.89,2,2018,2018-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22018,27.27,2,2018,2018-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22018,40.0,2,2018,2018-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22018,60.0,2,2018,2018-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22018,40.0,2,2018,2018-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22018,75.0,2,2018,2018-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22018,25.0,2,2018,2018-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22018,76.92,2,2018,2018-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22018,54.55,2,2018,2018-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22018,27.27,2,2018,2018-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22018,52.63,2,2018,2018-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22018,41.18,2,2018,2018-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22018,40.0,2,2018,2018-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22018,52.63,2,2018,2018-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22018,35.29,2,2018,2018-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22018,47.06,2,2018,2018-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22018,31.58,2,2018,2018-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22018,27.78,2,2018,2018-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22018,50.0,2,2018,2018-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22018,46.67,2,2018,2018-06-30
+T,AT&T,Language Complexity,CQ22018,11.74,2,2018,2018-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22018,12.67,2,2018,2018-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22018,,2,2018,2018-06-30
+META,Meta Platforms,Language Complexity,CQ22018,11.65,2,2018,2018-06-30
+NFLX,Netflix,Language Complexity,CQ22018,11.68,2,2018,2018-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22018,14.69,2,2018,2018-06-30
+OMC,Omnicom Group,Language Complexity,CQ22018,15.44,2,2018,2018-06-30
+VZ,Verizon,Language Complexity,CQ22018,13.39,2,2018,2018-06-30
+AMZN,Amazon,Language Complexity,CQ22018,12.73,2,2018,2018-06-30
+AZO,AutoZone,Language Complexity,CQ22018,12.29,2,2018,2018-06-30
+BBY,Best Buy,Language Complexity,CQ22018,13.02,2,2018,2018-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22018,11.17,2,2018,2018-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22018,12.46,2,2018,2018-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22018,11.42,2,2018,2018-06-30
+F,Ford Motor Company,Language Complexity,CQ22018,12.06,2,2018,2018-06-30
+GM,General Motors,Language Complexity,CQ22018,11.97,2,2018,2018-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22018,12.15,2,2018,2018-06-30
+HAS,Hasbro,Language Complexity,CQ22018,11.34,2,2018,2018-06-30
+LOW,Lowe's,Language Complexity,CQ22018,13.45,2,2018,2018-06-30
+MCD,McDonald's,Language Complexity,CQ22018,11.85,2,2018,2018-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22018,13.59,2,2018,2018-06-30
+ROST,Ross Stores,Language Complexity,CQ22018,10.75,2,2018,2018-06-30
+TJX,TJX Companies,Language Complexity,CQ22018,11.59,2,2018,2018-06-30
+TGT,Target,Language Complexity,CQ22018,13.05,2,2018,2018-06-30
+MO,Altria,Language Complexity,CQ22018,11.17,2,2018,2018-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22018,12.42,2,2018,2018-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22018,13.47,2,2018,2018-06-30
+CLX,Clorox,Language Complexity,CQ22018,11.9,2,2018,2018-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22018,12.47,2,2018,2018-06-30
+COST,Costco,Language Complexity,CQ22018,10.16,2,2018,2018-06-30
+GIS,General Mills,Language Complexity,CQ22018,12.54,2,2018,2018-06-30
+HSY,Hershey Company,Language Complexity,CQ22018,12.61,2,2018,2018-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22018,10.96,2,2018,2018-06-30
+KR,Kroger,Language Complexity,CQ22018,12.35,2,2018,2018-06-30
+MKC,McCormick & Company,Language Complexity,CQ22018,12.73,2,2018,2018-06-30
+PEP,PepsiCo,Language Complexity,CQ22018,12.63,2,2018,2018-06-30
+PG,Procter & Gamble,Language Complexity,CQ22018,12.36,2,2018,2018-06-30
+SYY,Sysco,Language Complexity,CQ22018,12.28,2,2018,2018-06-30
+WMT,Walmart,Language Complexity,CQ22018,,2,2018,2018-06-30
+APA,APA Corporation,Language Complexity,CQ22018,12.81,2,2018,2018-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22018,,2,2018,2018-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22018,12.64,2,2018,2018-06-30
+EOG,EOG Resources,Language Complexity,CQ22018,12.83,2,2018,2018-06-30
+XOM,ExxonMobil,Language Complexity,CQ22018,12.14,2,2018,2018-06-30
+HAL,Halliburton,Language Complexity,CQ22018,11.55,2,2018,2018-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22018,12.4,2,2018,2018-06-30
+SLB,Schlumberger,Language Complexity,CQ22018,13.35,2,2018,2018-06-30
+VLO,Valero Energy,Language Complexity,CQ22018,10.84,2,2018,2018-06-30
+AFL,Aflac,Language Complexity,CQ22018,12.87,2,2018,2018-06-30
+ALL,Allstate,Language Complexity,CQ22018,11.4,2,2018,2018-06-30
+AXP,American Express,Language Complexity,CQ22018,13.1,2,2018,2018-06-30
+AIG,American International Group,Language Complexity,CQ22018,13.14,2,2018,2018-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22018,12.83,2,2018,2018-06-30
+AON,Aon plc,Language Complexity,CQ22018,15.04,2,2018,2018-06-30
+BK,BNY Mellon,Language Complexity,CQ22018,12.88,2,2018,2018-06-30
+BAC,Bank of America,Language Complexity,CQ22018,11.04,2,2018,2018-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22018,,2,2018,2018-06-30
+BLK,BlackRock,Language Complexity,CQ22018,14.43,2,2018,2018-06-30
+CME,CME Group,Language Complexity,CQ22018,10.55,2,2018,2018-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22018,,2,2018,2018-06-30
+CB,Chubb Limited,Language Complexity,CQ22018,11.68,2,2018,2018-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22018,12.92,2,2018,2018-06-30
+C,Citigroup,Language Complexity,CQ22018,12.04,2,2018,2018-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22018,11.52,2,2018,2018-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22018,13.1,2,2018,2018-06-30
+FISV,Fiserv,Language Complexity,CQ22018,12.81,2,2018,2018-06-30
+GS,Goldman Sachs,Language Complexity,CQ22018,12.75,2,2018,2018-06-30
+HIG,Hartford Financial,Language Complexity,CQ22018,12.62,2,2018,2018-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22018,13.97,2,2018,2018-06-30
+IVZ,Invesco,Language Complexity,CQ22018,12.02,2,2018,2018-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22018,12.8,2,2018,2018-06-30
+KEY,KeyCorp,Language Complexity,CQ22018,12.64,2,2018,2018-06-30
+MA,Mastercard,Language Complexity,CQ22018,11.77,2,2018,2018-06-30
+MET,MetLife,Language Complexity,CQ22018,12.47,2,2018,2018-06-30
+MS,Morgan Stanley,Language Complexity,CQ22018,11.51,2,2018,2018-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22018,14.53,2,2018,2018-06-30
+NTRS,Northern Trust,Language Complexity,CQ22018,12.64,2,2018,2018-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22018,11.11,2,2018,2018-06-30
+PRU,Prudential Financial,Language Complexity,CQ22018,12.8,2,2018,2018-06-30
+RF,Regions Financial,Language Complexity,CQ22018,12.48,2,2018,2018-06-30
+SPGI,S&P Global,Language Complexity,CQ22018,12.26,2,2018,2018-06-30
+STT,State Street,Language Complexity,CQ22018,11.05,2,2018,2018-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22018,,2,2018,2018-06-30
+TRV,Travelers Companies,Language Complexity,CQ22018,12.18,2,2018,2018-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22018,11.56,2,2018,2018-06-30
+V,Visa,Language Complexity,CQ22018,12.55,2,2018,2018-06-30
+WFC,Wells Fargo,Language Complexity,CQ22018,12.93,2,2018,2018-06-30
+ABBV,AbbVie,Language Complexity,CQ22018,12.77,2,2018,2018-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22018,10.67,2,2018,2018-06-30
+A,Agilent Technologies,Language Complexity,CQ22018,10.69,2,2018,2018-06-30
+AMGN,Amgen,Language Complexity,CQ22018,13.32,2,2018,2018-06-30
+BAX,Baxter International,Language Complexity,CQ22018,12.22,2,2018,2018-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22018,11.9,2,2018,2018-06-30
+BIIB,Biogen,Language Complexity,CQ22018,14.28,2,2018,2018-06-30
+BSX,Boston Scientific,Language Complexity,CQ22018,13.17,2,2018,2018-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22018,12.14,2,2018,2018-06-30
+CVS,CVS Health,Language Complexity,CQ22018,13.35,2,2018,2018-06-30
+COR,Cencora,Language Complexity,CQ22018,,2,2018,2018-06-30
+CI,Cigna,Language Complexity,CQ22018,15.37,2,2018,2018-06-30
+DVA,DaVita,Language Complexity,CQ22018,11.16,2,2018,2018-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22018,13.17,2,2018,2018-06-30
+LLY,Eli Lilly,Language Complexity,CQ22018,11.17,2,2018,2018-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22018,13.5,2,2018,2018-06-30
+HUM,Humana,Language Complexity,CQ22018,14.7,2,2018,2018-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22018,12.75,2,2018,2018-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22018,12.91,2,2018,2018-06-30
+LH,Labcorp,Language Complexity,CQ22018,12.7,2,2018,2018-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22018,15.37,2,2018,2018-06-30
+MDT,Medtronic,Language Complexity,CQ22018,12.21,2,2018,2018-06-30
+MRK,Merck & Co.,Language Complexity,CQ22018,13.21,2,2018,2018-06-30
+PFE,Pfizer,Language Complexity,CQ22018,12.44,2,2018,2018-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22018,12.11,2,2018,2018-06-30
+WAT,Waters Corporation,Language Complexity,CQ22018,12.61,2,2018,2018-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22018,12.56,2,2018,2018-06-30
+MMM,3M,Language Complexity,CQ22018,11.22,2,2018,2018-06-30
+AME,Ametek,Language Complexity,CQ22018,11.97,2,2018,2018-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22018,14.68,2,2018,2018-06-30
+BA,Boeing,Language Complexity,CQ22018,13.49,2,2018,2018-06-30
+CSX,CSX Corporation,Language Complexity,CQ22018,11.44,2,2018,2018-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22018,11.27,2,2018,2018-06-30
+CTAS,Cintas,Language Complexity,CQ22018,,2,2018,2018-06-30
+CMI,Cummins,Language Complexity,CQ22018,10.95,2,2018,2018-06-30
+DE,Deere & Company,Language Complexity,CQ22018,10.96,2,2018,2018-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22018,11.7,2,2018,2018-06-30
+EMR,Emerson Electric,Language Complexity,CQ22018,9.82,2,2018,2018-06-30
+EFX,Equifax,Language Complexity,CQ22018,12.69,2,2018,2018-06-30
+EXPD,Expeditors International,Language Complexity,CQ22018,,2,2018,2018-06-30
+FDX,FedEx,Language Complexity,CQ22018,12.31,2,2018,2018-06-30
+GE,GE Aerospace,Language Complexity,CQ22018,11.69,2,2018,2018-06-30
+GD,General Dynamics,Language Complexity,CQ22018,10.7,2,2018,2018-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22018,11.02,2,2018,2018-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22018,12.9,2,2018,2018-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22018,11.49,2,2018,2018-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22018,13.35,2,2018,2018-06-30
+PCAR,Paccar,Language Complexity,CQ22018,10.02,2,2018,2018-06-30
+RTX,RTX Corporation,Language Complexity,CQ22018,10.68,2,2018,2018-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22018,11.54,2,2018,2018-06-30
+ROP,Roper Technologies,Language Complexity,CQ22018,10.71,2,2018,2018-06-30
+SNA,Snap-on,Language Complexity,CQ22018,11.99,2,2018,2018-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22018,14.18,2,2018,2018-06-30
+UPS,United Parcel Service,Language Complexity,CQ22018,11.97,2,2018,2018-06-30
+WM,Waste Management,Language Complexity,CQ22018,10.91,2,2018,2018-06-30
+ACN,Accenture,Language Complexity,CQ22018,13.12,2,2018,2018-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22018,14.57,2,2018,2018-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22018,12.84,2,2018,2018-06-30
+APH,Amphenol,Language Complexity,CQ22018,12.74,2,2018,2018-06-30
+ADI,Analog Devices,Language Complexity,CQ22018,13.07,2,2018,2018-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22018,12.1,2,2018,2018-06-30
+AMAT,Applied Materials,Language Complexity,CQ22018,11.86,2,2018,2018-06-30
+ADSK,Autodesk,Language Complexity,CQ22018,11.75,2,2018,2018-06-30
+AVGO,Broadcom,Language Complexity,CQ22018,10.85,2,2018,2018-06-30
+CSCO,Cisco,Language Complexity,CQ22018,11.42,2,2018,2018-06-30
+CTSH,Cognizant,Language Complexity,CQ22018,13.45,2,2018,2018-06-30
+HPQ,HP Inc.,Language Complexity,CQ22018,12.19,2,2018,2018-06-30
+IBM,IBM,Language Complexity,CQ22018,13.17,2,2018,2018-06-30
+INTC,Intel,Language Complexity,CQ22018,11.27,2,2018,2018-06-30
+INTU,Intuit,Language Complexity,CQ22018,11.49,2,2018,2018-06-30
+LRCX,Lam Research,Language Complexity,CQ22018,13.98,2,2018,2018-06-30
+MU,Micron Technology,Language Complexity,CQ22018,12.83,2,2018,2018-06-30
+MSFT,Microsoft,Language Complexity,CQ22018,14.02,2,2018,2018-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22018,11.11,2,2018,2018-06-30
+NTAP,NetApp,Language Complexity,CQ22018,12.81,2,2018,2018-06-30
+NVDA,Nvidia,Language Complexity,CQ22018,11.06,2,2018,2018-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22018,11.31,2,2018,2018-06-30
+TXN,Texas Instruments,Language Complexity,CQ22018,10.53,2,2018,2018-06-30
+APD,Air Products,Language Complexity,CQ22018,10.52,2,2018,2018-06-30
+AVY,Avery Dennison,Language Complexity,CQ22018,12.77,2,2018,2018-06-30
+ECL,Ecolab,Language Complexity,CQ22018,10.83,2,2018,2018-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22018,13.3,2,2018,2018-06-30
+IP,International Paper,Language Complexity,CQ22018,12.58,2,2018,2018-06-30
+LIN,Linde plc,Language Complexity,CQ22018,11.13,2,2018,2018-06-30
+NEM,Newmont,Language Complexity,CQ22018,12.03,2,2018,2018-06-30
+NUE,Nucor,Language Complexity,CQ22018,11.97,2,2018,2018-06-30
+AMT,American Tower,Language Complexity,CQ22018,14.02,2,2018,2018-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22018,12.16,2,2018,2018-06-30
+EQR,Equity Residential,Language Complexity,CQ22018,11.28,2,2018,2018-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22018,12.17,2,2018,2018-06-30
+IRM,Iron Mountain,Language Complexity,CQ22018,13.41,2,2018,2018-06-30
+PLD,Prologis,Language Complexity,CQ22018,11.21,2,2018,2018-06-30
+VTR,Ventas,Language Complexity,CQ22018,12.3,2,2018,2018-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22018,11.71,2,2018,2018-06-30
+AES,AES Corporation,Language Complexity,CQ22018,11.33,2,2018,2018-06-30
+AEE,Ameren,Language Complexity,CQ22018,13.83,2,2018,2018-06-30
+AEP,American Electric Power,Language Complexity,CQ22018,11.7,2,2018,2018-06-30
+CMS,CMS Energy,Language Complexity,CQ22018,13.09,2,2018,2018-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22018,13.75,2,2018,2018-06-30
+DUK,Duke Energy,Language Complexity,CQ22018,12.58,2,2018,2018-06-30
+EIX,Edison International,Language Complexity,CQ22018,13.76,2,2018,2018-06-30
+ETR,Entergy,Language Complexity,CQ22018,13.59,2,2018,2018-06-30
+EXC,Exelon,Language Complexity,CQ22018,12.66,2,2018,2018-06-30
+NEE,NextEra Energy,Language Complexity,CQ22018,14.79,2,2018,2018-06-30
+SO,Southern Company,Language Complexity,CQ22018,11.57,2,2018,2018-06-30
+XEL,Xcel Energy,Language Complexity,CQ22018,12.49,2,2018,2018-06-30
+T,AT&T,Net Positivity,CQ32018,1.66,3,2018,2018-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32018,1.96,3,2018,2018-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32018,,3,2018,2018-09-30
+META,Meta Platforms,Net Positivity,CQ32018,1.36,3,2018,2018-09-30
+NFLX,Netflix,Net Positivity,CQ32018,1.8,3,2018,2018-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32018,1.3,3,2018,2018-09-30
+OMC,Omnicom Group,Net Positivity,CQ32018,1.04,3,2018,2018-09-30
+VZ,Verizon,Net Positivity,CQ32018,1.89,3,2018,2018-09-30
+AMZN,Amazon,Net Positivity,CQ32018,1.94,3,2018,2018-09-30
+AZO,AutoZone,Net Positivity,CQ32018,1.03,3,2018,2018-09-30
+BBY,Best Buy,Net Positivity,CQ32018,1.79,3,2018,2018-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32018,1.16,3,2018,2018-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32018,1.79,3,2018,2018-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32018,1.68,3,2018,2018-09-30
+F,Ford Motor Company,Net Positivity,CQ32018,0.42,3,2018,2018-09-30
+GM,General Motors,Net Positivity,CQ32018,1.07,3,2018,2018-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32018,2.05,3,2018,2018-09-30
+HAS,Hasbro,Net Positivity,CQ32018,0.92,3,2018,2018-09-30
+LOW,Lowe's,Net Positivity,CQ32018,1.59,3,2018,2018-09-30
+MCD,McDonald's,Net Positivity,CQ32018,1.68,3,2018,2018-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32018,2.85,3,2018,2018-09-30
+ROST,Ross Stores,Net Positivity,CQ32018,0.46,3,2018,2018-09-30
+TJX,TJX Companies,Net Positivity,CQ32018,1.38,3,2018,2018-09-30
+TGT,Target,Net Positivity,CQ32018,2.01,3,2018,2018-09-30
+MO,Altria,Net Positivity,CQ32018,0.5,3,2018,2018-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32018,1.54,3,2018,2018-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32018,0.62,3,2018,2018-09-30
+CLX,Clorox,Net Positivity,CQ32018,1.14,3,2018,2018-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32018,1.3,3,2018,2018-09-30
+COST,Costco,Net Positivity,CQ32018,,3,2018,2018-09-30
+GIS,General Mills,Net Positivity,CQ32018,1.73,3,2018,2018-09-30
+HSY,Hershey Company,Net Positivity,CQ32018,1.82,3,2018,2018-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32018,0.75,3,2018,2018-09-30
+KR,Kroger,Net Positivity,CQ32018,1.12,3,2018,2018-09-30
+MKC,McCormick & Company,Net Positivity,CQ32018,1.82,3,2018,2018-09-30
+PEP,PepsiCo,Net Positivity,CQ32018,1.94,3,2018,2018-09-30
+PG,Procter & Gamble,Net Positivity,CQ32018,2.01,3,2018,2018-09-30
+SYY,Sysco,Net Positivity,CQ32018,1.41,3,2018,2018-09-30
+WMT,Walmart,Net Positivity,CQ32018,,3,2018,2018-09-30
+APA,APA Corporation,Net Positivity,CQ32018,1.54,3,2018,2018-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32018,,3,2018,2018-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32018,0.38,3,2018,2018-09-30
+EOG,EOG Resources,Net Positivity,CQ32018,1.0,3,2018,2018-09-30
+XOM,ExxonMobil,Net Positivity,CQ32018,0.58,3,2018,2018-09-30
+HAL,Halliburton,Net Positivity,CQ32018,1.83,3,2018,2018-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32018,1.62,3,2018,2018-09-30
+SLB,Schlumberger,Net Positivity,CQ32018,1.08,3,2018,2018-09-30
+VLO,Valero Energy,Net Positivity,CQ32018,0.77,3,2018,2018-09-30
+AFL,Aflac,Net Positivity,CQ32018,1.09,3,2018,2018-09-30
+ALL,Allstate,Net Positivity,CQ32018,0.56,3,2018,2018-09-30
+AXP,American Express,Net Positivity,CQ32018,1.13,3,2018,2018-09-30
+AIG,American International Group,Net Positivity,CQ32018,0.94,3,2018,2018-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32018,1.25,3,2018,2018-09-30
+AON,Aon plc,Net Positivity,CQ32018,1.18,3,2018,2018-09-30
+BK,BNY Mellon,Net Positivity,CQ32018,0.55,3,2018,2018-09-30
+BAC,Bank of America,Net Positivity,CQ32018,0.98,3,2018,2018-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32018,,3,2018,2018-09-30
+BLK,BlackRock,Net Positivity,CQ32018,1.77,3,2018,2018-09-30
+CME,CME Group,Net Positivity,CQ32018,0.74,3,2018,2018-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32018,,3,2018,2018-09-30
+CB,Chubb Limited,Net Positivity,CQ32018,0.43,3,2018,2018-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32018,-0.07,3,2018,2018-09-30
+C,Citigroup,Net Positivity,CQ32018,1.55,3,2018,2018-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32018,1.71,3,2018,2018-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32018,1.55,3,2018,2018-09-30
+FISV,Fiserv,Net Positivity,CQ32018,0.93,3,2018,2018-09-30
+GS,Goldman Sachs,Net Positivity,CQ32018,1.27,3,2018,2018-09-30
+HIG,Hartford Financial,Net Positivity,CQ32018,0.71,3,2018,2018-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32018,0.74,3,2018,2018-09-30
+IVZ,Invesco,Net Positivity,CQ32018,0.92,3,2018,2018-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32018,0.68,3,2018,2018-09-30
+KEY,KeyCorp,Net Positivity,CQ32018,1.3,3,2018,2018-09-30
+MA,Mastercard,Net Positivity,CQ32018,0.75,3,2018,2018-09-30
+MET,MetLife,Net Positivity,CQ32018,0.62,3,2018,2018-09-30
+MS,Morgan Stanley,Net Positivity,CQ32018,1.19,3,2018,2018-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32018,1.18,3,2018,2018-09-30
+NTRS,Northern Trust,Net Positivity,CQ32018,0.78,3,2018,2018-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32018,0.76,3,2018,2018-09-30
+PRU,Prudential Financial,Net Positivity,CQ32018,1.19,3,2018,2018-09-30
+RF,Regions Financial,Net Positivity,CQ32018,1.25,3,2018,2018-09-30
+SPGI,S&P Global,Net Positivity,CQ32018,0.66,3,2018,2018-09-30
+STT,State Street,Net Positivity,CQ32018,1.06,3,2018,2018-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32018,,3,2018,2018-09-30
+TRV,Travelers Companies,Net Positivity,CQ32018,0.2,3,2018,2018-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32018,0.89,3,2018,2018-09-30
+V,Visa,Net Positivity,CQ32018,1.18,3,2018,2018-09-30
+WFC,Wells Fargo,Net Positivity,CQ32018,0.1,3,2018,2018-09-30
+ABBV,AbbVie,Net Positivity,CQ32018,1.35,3,2018,2018-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32018,1.57,3,2018,2018-09-30
+A,Agilent Technologies,Net Positivity,CQ32018,1.4,3,2018,2018-09-30
+AMGN,Amgen,Net Positivity,CQ32018,0.83,3,2018,2018-09-30
+BAX,Baxter International,Net Positivity,CQ32018,1.1,3,2018,2018-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32018,2.26,3,2018,2018-09-30
+BIIB,Biogen,Net Positivity,CQ32018,1.44,3,2018,2018-09-30
+BSX,Boston Scientific,Net Positivity,CQ32018,1.55,3,2018,2018-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32018,1.57,3,2018,2018-09-30
+CVS,CVS Health,Net Positivity,CQ32018,1.22,3,2018,2018-09-30
+COR,Cencora,Net Positivity,CQ32018,,3,2018,2018-09-30
+CI,Cigna,Net Positivity,CQ32018,2.32,3,2018,2018-09-30
+DVA,DaVita,Net Positivity,CQ32018,-0.18,3,2018,2018-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32018,2.46,3,2018,2018-09-30
+LLY,Eli Lilly,Net Positivity,CQ32018,0.93,3,2018,2018-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32018,1.2,3,2018,2018-09-30
+HUM,Humana,Net Positivity,CQ32018,1.34,3,2018,2018-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32018,0.71,3,2018,2018-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32018,1.3,3,2018,2018-09-30
+LH,Labcorp,Net Positivity,CQ32018,1.09,3,2018,2018-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32018,0.56,3,2018,2018-09-30
+MDT,Medtronic,Net Positivity,CQ32018,2.09,3,2018,2018-09-30
+MRK,Merck & Co.,Net Positivity,CQ32018,1.42,3,2018,2018-09-30
+PFE,Pfizer,Net Positivity,CQ32018,1.34,3,2018,2018-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32018,2.76,3,2018,2018-09-30
+WAT,Waters Corporation,Net Positivity,CQ32018,1.52,3,2018,2018-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32018,1.43,3,2018,2018-09-30
+MMM,3M,Net Positivity,CQ32018,1.56,3,2018,2018-09-30
+AME,Ametek,Net Positivity,CQ32018,2.25,3,2018,2018-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32018,1.21,3,2018,2018-09-30
+BA,Boeing,Net Positivity,CQ32018,1.46,3,2018,2018-09-30
+CSX,CSX Corporation,Net Positivity,CQ32018,1.74,3,2018,2018-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32018,1.27,3,2018,2018-09-30
+CTAS,Cintas,Net Positivity,CQ32018,0.93,3,2018,2018-09-30
+CMI,Cummins,Net Positivity,CQ32018,1.01,3,2018,2018-09-30
+DE,Deere & Company,Net Positivity,CQ32018,1.32,3,2018,2018-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32018,1.38,3,2018,2018-09-30
+EMR,Emerson Electric,Net Positivity,CQ32018,1.34,3,2018,2018-09-30
+EFX,Equifax,Net Positivity,CQ32018,0.88,3,2018,2018-09-30
+EXPD,Expeditors International,Net Positivity,CQ32018,,3,2018,2018-09-30
+FDX,FedEx,Net Positivity,CQ32018,1.59,3,2018,2018-09-30
+GE,GE Aerospace,Net Positivity,CQ32018,0.67,3,2018,2018-09-30
+GD,General Dynamics,Net Positivity,CQ32018,0.77,3,2018,2018-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32018,0.87,3,2018,2018-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32018,1.18,3,2018,2018-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32018,1.83,3,2018,2018-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32018,1.45,3,2018,2018-09-30
+PCAR,Paccar,Net Positivity,CQ32018,1.29,3,2018,2018-09-30
+RTX,RTX Corporation,Net Positivity,CQ32018,1.08,3,2018,2018-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32018,1.53,3,2018,2018-09-30
+ROP,Roper Technologies,Net Positivity,CQ32018,1.47,3,2018,2018-09-30
+SNA,Snap-on,Net Positivity,CQ32018,1.41,3,2018,2018-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32018,1.43,3,2018,2018-09-30
+UPS,United Parcel Service,Net Positivity,CQ32018,1.8,3,2018,2018-09-30
+WM,Waste Management,Net Positivity,CQ32018,1.57,3,2018,2018-09-30
+ACN,Accenture,Net Positivity,CQ32018,1.66,3,2018,2018-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32018,2.38,3,2018,2018-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32018,1.28,3,2018,2018-09-30
+APH,Amphenol,Net Positivity,CQ32018,1.74,3,2018,2018-09-30
+ADI,Analog Devices,Net Positivity,CQ32018,1.33,3,2018,2018-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32018,1.59,3,2018,2018-09-30
+AMAT,Applied Materials,Net Positivity,CQ32018,1.61,3,2018,2018-09-30
+ADSK,Autodesk,Net Positivity,CQ32018,1.08,3,2018,2018-09-30
+AVGO,Broadcom,Net Positivity,CQ32018,1.16,3,2018,2018-09-30
+CSCO,Cisco,Net Positivity,CQ32018,1.36,3,2018,2018-09-30
+CTSH,Cognizant,Net Positivity,CQ32018,1.0,3,2018,2018-09-30
+HPQ,HP Inc.,Net Positivity,CQ32018,2.07,3,2018,2018-09-30
+IBM,IBM,Net Positivity,CQ32018,1.41,3,2018,2018-09-30
+INTC,Intel,Net Positivity,CQ32018,2.09,3,2018,2018-09-30
+INTU,Intuit,Net Positivity,CQ32018,1.17,3,2018,2018-09-30
+LRCX,Lam Research,Net Positivity,CQ32018,1.24,3,2018,2018-09-30
+MU,Micron Technology,Net Positivity,CQ32018,1.52,3,2018,2018-09-30
+MSFT,Microsoft,Net Positivity,CQ32018,1.94,3,2018,2018-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32018,1.15,3,2018,2018-09-30
+NTAP,NetApp,Net Positivity,CQ32018,1.35,3,2018,2018-09-30
+NVDA,Nvidia,Net Positivity,CQ32018,1.29,3,2018,2018-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32018,0.79,3,2018,2018-09-30
+TXN,Texas Instruments,Net Positivity,CQ32018,1.21,3,2018,2018-09-30
+APD,Air Products,Net Positivity,CQ32018,1.38,3,2018,2018-09-30
+AVY,Avery Dennison,Net Positivity,CQ32018,1.42,3,2018,2018-09-30
+ECL,Ecolab,Net Positivity,CQ32018,1.25,3,2018,2018-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32018,1.54,3,2018,2018-09-30
+IP,International Paper,Net Positivity,CQ32018,0.98,3,2018,2018-09-30
+LIN,Linde plc,Net Positivity,CQ32018,0.75,3,2018,2018-09-30
+NEM,Newmont,Net Positivity,CQ32018,1.71,3,2018,2018-09-30
+NUE,Nucor,Net Positivity,CQ32018,1.84,3,2018,2018-09-30
+AMT,American Tower,Net Positivity,CQ32018,0.66,3,2018,2018-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32018,0.49,3,2018,2018-09-30
+EQR,Equity Residential,Net Positivity,CQ32018,0.67,3,2018,2018-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32018,0.85,3,2018,2018-09-30
+IRM,Iron Mountain,Net Positivity,CQ32018,0.9,3,2018,2018-09-30
+PLD,Prologis,Net Positivity,CQ32018,0.56,3,2018,2018-09-30
+VTR,Ventas,Net Positivity,CQ32018,2.06,3,2018,2018-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32018,1.06,3,2018,2018-09-30
+AES,AES Corporation,Net Positivity,CQ32018,1.22,3,2018,2018-09-30
+AEE,Ameren,Net Positivity,CQ32018,1.44,3,2018,2018-09-30
+AEP,American Electric Power,Net Positivity,CQ32018,0.87,3,2018,2018-09-30
+CMS,CMS Energy,Net Positivity,CQ32018,0.92,3,2018,2018-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32018,0.98,3,2018,2018-09-30
+DUK,Duke Energy,Net Positivity,CQ32018,1.02,3,2018,2018-09-30
+EIX,Edison International,Net Positivity,CQ32018,-0.5,3,2018,2018-09-30
+ETR,Entergy,Net Positivity,CQ32018,0.98,3,2018,2018-09-30
+EXC,Exelon,Net Positivity,CQ32018,1.24,3,2018,2018-09-30
+NEE,NextEra Energy,Net Positivity,CQ32018,1.27,3,2018,2018-09-30
+SO,Southern Company,Net Positivity,CQ32018,0.04,3,2018,2018-09-30
+XEL,Xcel Energy,Net Positivity,CQ32018,0.81,3,2018,2018-09-30
+T,AT&T,Numeric Transeprency,CQ32018,1.39,3,2018,2018-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32018,1.38,3,2018,2018-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32018,,3,2018,2018-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32018,1.37,3,2018,2018-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32018,0.64,3,2018,2018-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32018,2.85,3,2018,2018-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32018,3.19,3,2018,2018-09-30
+VZ,Verizon,Numeric Transeprency,CQ32018,1.78,3,2018,2018-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32018,1.38,3,2018,2018-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32018,2.47,3,2018,2018-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32018,2.04,3,2018,2018-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32018,1.17,3,2018,2018-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32018,2.03,3,2018,2018-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32018,1.9,3,2018,2018-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32018,1.98,3,2018,2018-09-30
+GM,General Motors,Numeric Transeprency,CQ32018,1.93,3,2018,2018-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32018,2.57,3,2018,2018-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32018,1.26,3,2018,2018-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32018,1.75,3,2018,2018-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32018,1.82,3,2018,2018-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32018,1.19,3,2018,2018-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32018,3.11,3,2018,2018-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32018,1.98,3,2018,2018-09-30
+TGT,Target,Numeric Transeprency,CQ32018,1.71,3,2018,2018-09-30
+MO,Altria,Numeric Transeprency,CQ32018,1.96,3,2018,2018-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32018,2.21,3,2018,2018-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32018,1.52,3,2018,2018-09-30
+CLX,Clorox,Numeric Transeprency,CQ32018,2.46,3,2018,2018-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32018,0.98,3,2018,2018-09-30
+COST,Costco,Numeric Transeprency,CQ32018,,3,2018,2018-09-30
+GIS,General Mills,Numeric Transeprency,CQ32018,2.19,3,2018,2018-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32018,1.82,3,2018,2018-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32018,1.48,3,2018,2018-09-30
+KR,Kroger,Numeric Transeprency,CQ32018,1.85,3,2018,2018-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32018,2.66,3,2018,2018-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32018,1.23,3,2018,2018-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32018,2.53,3,2018,2018-09-30
+SYY,Sysco,Numeric Transeprency,CQ32018,1.47,3,2018,2018-09-30
+WMT,Walmart,Numeric Transeprency,CQ32018,,3,2018,2018-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32018,2.61,3,2018,2018-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32018,,3,2018,2018-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32018,1.75,3,2018,2018-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32018,2.64,3,2018,2018-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32018,1.94,3,2018,2018-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32018,1.43,3,2018,2018-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32018,2.61,3,2018,2018-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32018,1.94,3,2018,2018-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32018,2.52,3,2018,2018-09-30
+AFL,Aflac,Numeric Transeprency,CQ32018,1.47,3,2018,2018-09-30
+ALL,Allstate,Numeric Transeprency,CQ32018,2.01,3,2018,2018-09-30
+AXP,American Express,Numeric Transeprency,CQ32018,2.17,3,2018,2018-09-30
+AIG,American International Group,Numeric Transeprency,CQ32018,2.52,3,2018,2018-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32018,2.06,3,2018,2018-09-30
+AON,Aon plc,Numeric Transeprency,CQ32018,1.8,3,2018,2018-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32018,2.38,3,2018,2018-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32018,3.43,3,2018,2018-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32018,,3,2018,2018-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32018,1.67,3,2018,2018-09-30
+CME,CME Group,Numeric Transeprency,CQ32018,1.96,3,2018,2018-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32018,,3,2018,2018-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32018,2.35,3,2018,2018-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32018,3.53,3,2018,2018-09-30
+C,Citigroup,Numeric Transeprency,CQ32018,3.19,3,2018,2018-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32018,2.37,3,2018,2018-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32018,2.96,3,2018,2018-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32018,2.73,3,2018,2018-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32018,2.37,3,2018,2018-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32018,2.32,3,2018,2018-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32018,2.19,3,2018,2018-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32018,1.54,3,2018,2018-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32018,2.39,3,2018,2018-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32018,2.96,3,2018,2018-09-30
+MA,Mastercard,Numeric Transeprency,CQ32018,1.45,3,2018,2018-09-30
+MET,MetLife,Numeric Transeprency,CQ32018,3.57,3,2018,2018-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32018,2.06,3,2018,2018-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32018,2.37,3,2018,2018-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32018,3.25,3,2018,2018-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32018,2.56,3,2018,2018-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32018,1.83,3,2018,2018-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32018,2.06,3,2018,2018-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32018,2.64,3,2018,2018-09-30
+STT,State Street,Numeric Transeprency,CQ32018,2.02,3,2018,2018-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32018,,3,2018,2018-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32018,2.14,3,2018,2018-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32018,1.78,3,2018,2018-09-30
+V,Visa,Numeric Transeprency,CQ32018,2.49,3,2018,2018-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32018,1.95,3,2018,2018-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32018,1.88,3,2018,2018-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32018,1.08,3,2018,2018-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32018,1.68,3,2018,2018-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32018,1.77,3,2018,2018-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32018,2.84,3,2018,2018-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32018,2.49,3,2018,2018-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32018,3.01,3,2018,2018-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32018,3.98,3,2018,2018-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32018,1.27,3,2018,2018-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32018,1.74,3,2018,2018-09-30
+COR,Cencora,Numeric Transeprency,CQ32018,,3,2018,2018-09-30
+CI,Cigna,Numeric Transeprency,CQ32018,2.33,3,2018,2018-09-30
+DVA,DaVita,Numeric Transeprency,CQ32018,2.41,3,2018,2018-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32018,1.37,3,2018,2018-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32018,1.88,3,2018,2018-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32018,1.58,3,2018,2018-09-30
+HUM,Humana,Numeric Transeprency,CQ32018,1.53,3,2018,2018-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32018,2.88,3,2018,2018-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32018,2.34,3,2018,2018-09-30
+LH,Labcorp,Numeric Transeprency,CQ32018,2.26,3,2018,2018-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32018,1.63,3,2018,2018-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32018,1.61,3,2018,2018-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32018,1.53,3,2018,2018-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32018,1.81,3,2018,2018-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32018,2.63,3,2018,2018-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32018,1.91,3,2018,2018-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32018,0.91,3,2018,2018-09-30
+MMM,3M,Numeric Transeprency,CQ32018,2.63,3,2018,2018-09-30
+AME,Ametek,Numeric Transeprency,CQ32018,2.56,3,2018,2018-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32018,2.62,3,2018,2018-09-30
+BA,Boeing,Numeric Transeprency,CQ32018,2.43,3,2018,2018-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32018,1.84,3,2018,2018-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32018,2.19,3,2018,2018-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32018,2.82,3,2018,2018-09-30
+CMI,Cummins,Numeric Transeprency,CQ32018,3.34,3,2018,2018-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32018,2.76,3,2018,2018-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32018,2.44,3,2018,2018-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32018,2.38,3,2018,2018-09-30
+EFX,Equifax,Numeric Transeprency,CQ32018,2.67,3,2018,2018-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32018,,3,2018,2018-09-30
+FDX,FedEx,Numeric Transeprency,CQ32018,1.53,3,2018,2018-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32018,4.57,3,2018,2018-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32018,4.89,3,2018,2018-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32018,3.17,3,2018,2018-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32018,2.42,3,2018,2018-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32018,1.89,3,2018,2018-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32018,1.64,3,2018,2018-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32018,2.04,3,2018,2018-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32018,2.62,3,2018,2018-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32018,2.52,3,2018,2018-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32018,2.32,3,2018,2018-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32018,3.12,3,2018,2018-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32018,2.47,3,2018,2018-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32018,1.57,3,2018,2018-09-30
+WM,Waste Management,Numeric Transeprency,CQ32018,2.53,3,2018,2018-09-30
+ACN,Accenture,Numeric Transeprency,CQ32018,3.22,3,2018,2018-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32018,1.55,3,2018,2018-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32018,1.92,3,2018,2018-09-30
+APH,Amphenol,Numeric Transeprency,CQ32018,1.86,3,2018,2018-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32018,2.08,3,2018,2018-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32018,2.58,3,2018,2018-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32018,3.12,3,2018,2018-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32018,1.55,3,2018,2018-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32018,1.76,3,2018,2018-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32018,2.1,3,2018,2018-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32018,2.15,3,2018,2018-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32018,2.53,3,2018,2018-09-30
+IBM,IBM,Numeric Transeprency,CQ32018,2.5,3,2018,2018-09-30
+INTC,Intel,Numeric Transeprency,CQ32018,2.87,3,2018,2018-09-30
+INTU,Intuit,Numeric Transeprency,CQ32018,2.6,3,2018,2018-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32018,2.39,3,2018,2018-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32018,3.39,3,2018,2018-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32018,2.97,3,2018,2018-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32018,2.68,3,2018,2018-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32018,1.55,3,2018,2018-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32018,1.94,3,2018,2018-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32018,1.91,3,2018,2018-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32018,2.31,3,2018,2018-09-30
+APD,Air Products,Numeric Transeprency,CQ32018,3.11,3,2018,2018-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32018,1.91,3,2018,2018-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32018,1.83,3,2018,2018-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32018,1.9,3,2018,2018-09-30
+IP,International Paper,Numeric Transeprency,CQ32018,1.43,3,2018,2018-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32018,2.07,3,2018,2018-09-30
+NEM,Newmont,Numeric Transeprency,CQ32018,2.21,3,2018,2018-09-30
+NUE,Nucor,Numeric Transeprency,CQ32018,2.34,3,2018,2018-09-30
+AMT,American Tower,Numeric Transeprency,CQ32018,2.9,3,2018,2018-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32018,2.35,3,2018,2018-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32018,3.2,3,2018,2018-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32018,2.21,3,2018,2018-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32018,2.03,3,2018,2018-09-30
+PLD,Prologis,Numeric Transeprency,CQ32018,2.39,3,2018,2018-09-30
+VTR,Ventas,Numeric Transeprency,CQ32018,2.43,3,2018,2018-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32018,1.99,3,2018,2018-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32018,3.7,3,2018,2018-09-30
+AEE,Ameren,Numeric Transeprency,CQ32018,2.44,3,2018,2018-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32018,2.65,3,2018,2018-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32018,2.05,3,2018,2018-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32018,3.66,3,2018,2018-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32018,2.3,3,2018,2018-09-30
+EIX,Edison International,Numeric Transeprency,CQ32018,2.22,3,2018,2018-09-30
+ETR,Entergy,Numeric Transeprency,CQ32018,2.4,3,2018,2018-09-30
+EXC,Exelon,Numeric Transeprency,CQ32018,2.54,3,2018,2018-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32018,3.59,3,2018,2018-09-30
+SO,Southern Company,Numeric Transeprency,CQ32018,2.82,3,2018,2018-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32018,2.31,3,2018,2018-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32018,43.75,3,2018,2018-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32018,23.68,3,2018,2018-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32018,,3,2018,2018-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32018,27.5,3,2018,2018-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32018,2.44,3,2018,2018-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32018,20.0,3,2018,2018-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32018,20.0,3,2018,2018-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32018,29.03,3,2018,2018-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32018,19.15,3,2018,2018-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32018,39.13,3,2018,2018-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32018,28.57,3,2018,2018-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32018,27.27,3,2018,2018-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32018,16.13,3,2018,2018-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32018,48.15,3,2018,2018-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32018,22.73,3,2018,2018-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32018,39.13,3,2018,2018-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32018,63.64,3,2018,2018-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32018,80.0,3,2018,2018-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32018,19.44,3,2018,2018-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32018,45.16,3,2018,2018-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32018,15.38,3,2018,2018-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32018,46.67,3,2018,2018-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32018,28.13,3,2018,2018-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32018,19.35,3,2018,2018-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32018,60.0,3,2018,2018-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32018,69.23,3,2018,2018-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32018,26.32,3,2018,2018-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32018,68.75,3,2018,2018-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32018,53.85,3,2018,2018-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32018,,3,2018,2018-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32018,42.86,3,2018,2018-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32018,57.89,3,2018,2018-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32018,52.94,3,2018,2018-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32018,20.69,3,2018,2018-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32018,56.0,3,2018,2018-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32018,68.0,3,2018,2018-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32018,73.33,3,2018,2018-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32018,,3,2018,2018-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32018,33.33,3,2018,2018-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32018,,3,2018,2018-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32018,20.83,3,2018,2018-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32018,25.0,3,2018,2018-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32018,40.91,3,2018,2018-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32018,32.14,3,2018,2018-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32018,36.36,3,2018,2018-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32018,26.67,3,2018,2018-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32018,29.41,3,2018,2018-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32018,37.5,3,2018,2018-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32018,25.0,3,2018,2018-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32018,32.26,3,2018,2018-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32018,31.58,3,2018,2018-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32018,53.85,3,2018,2018-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32018,36.84,3,2018,2018-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32018,35.0,3,2018,2018-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32018,38.46,3,2018,2018-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32018,,3,2018,2018-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32018,53.33,3,2018,2018-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32018,,3,2018,2018-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32018,45.0,3,2018,2018-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32018,16.67,3,2018,2018-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32018,44.0,3,2018,2018-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32018,45.0,3,2018,2018-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32018,32.0,3,2018,2018-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32018,45.45,3,2018,2018-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32018,46.15,3,2018,2018-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32018,38.89,3,2018,2018-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32018,64.29,3,2018,2018-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32018,81.25,3,2018,2018-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32018,38.46,3,2018,2018-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32018,33.33,3,2018,2018-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32018,22.22,3,2018,2018-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32018,47.37,3,2018,2018-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32018,37.5,3,2018,2018-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32018,55.56,3,2018,2018-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32018,48.0,3,2018,2018-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32018,27.78,3,2018,2018-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32018,41.67,3,2018,2018-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32018,46.15,3,2018,2018-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32018,63.16,3,2018,2018-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32018,,3,2018,2018-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32018,47.83,3,2018,2018-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32018,38.46,3,2018,2018-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32018,21.21,3,2018,2018-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32018,36.67,3,2018,2018-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32018,30.43,3,2018,2018-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32018,36.84,3,2018,2018-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32018,85.71,3,2018,2018-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32018,59.09,3,2018,2018-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32018,43.75,3,2018,2018-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32018,41.18,3,2018,2018-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32018,43.33,3,2018,2018-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32018,29.17,3,2018,2018-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32018,61.11,3,2018,2018-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32018,43.48,3,2018,2018-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32018,,3,2018,2018-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32018,64.71,3,2018,2018-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32018,60.0,3,2018,2018-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32018,37.5,3,2018,2018-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32018,61.11,3,2018,2018-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32018,44.0,3,2018,2018-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32018,65.0,3,2018,2018-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32018,47.06,3,2018,2018-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32018,45.83,3,2018,2018-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32018,63.16,3,2018,2018-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32018,47.06,3,2018,2018-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32018,32.0,3,2018,2018-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32018,55.56,3,2018,2018-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32018,57.89,3,2018,2018-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32018,62.5,3,2018,2018-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32018,56.25,3,2018,2018-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32018,57.69,3,2018,2018-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32018,40.0,3,2018,2018-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32018,60.0,3,2018,2018-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32018,28.57,3,2018,2018-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32018,42.86,3,2018,2018-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32018,23.08,3,2018,2018-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32018,43.48,3,2018,2018-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32018,52.63,3,2018,2018-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32018,29.41,3,2018,2018-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32018,56.25,3,2018,2018-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32018,,3,2018,2018-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32018,0.0,3,2018,2018-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32018,26.67,3,2018,2018-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32018,57.89,3,2018,2018-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32018,70.59,3,2018,2018-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32018,66.67,3,2018,2018-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32018,70.83,3,2018,2018-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32018,42.11,3,2018,2018-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32018,36.84,3,2018,2018-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32018,80.0,3,2018,2018-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32018,66.67,3,2018,2018-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32018,38.89,3,2018,2018-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32018,21.43,3,2018,2018-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32018,63.64,3,2018,2018-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32018,23.08,3,2018,2018-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32018,44.44,3,2018,2018-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32018,52.17,3,2018,2018-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32018,71.43,3,2018,2018-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32018,37.5,3,2018,2018-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32018,10.26,3,2018,2018-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32018,38.46,3,2018,2018-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32018,15.38,3,2018,2018-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32018,24.24,3,2018,2018-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32018,36.67,3,2018,2018-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32018,32.26,3,2018,2018-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32018,41.18,3,2018,2018-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32018,41.67,3,2018,2018-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32018,32.56,3,2018,2018-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32018,60.0,3,2018,2018-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32018,47.83,3,2018,2018-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32018,23.53,3,2018,2018-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32018,30.3,3,2018,2018-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32018,69.23,3,2018,2018-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32018,25.0,3,2018,2018-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32018,24.24,3,2018,2018-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32018,23.53,3,2018,2018-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32018,73.68,3,2018,2018-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32018,63.64,3,2018,2018-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32018,70.83,3,2018,2018-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32018,76.92,3,2018,2018-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32018,62.5,3,2018,2018-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32018,52.94,3,2018,2018-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32018,41.18,3,2018,2018-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32018,46.67,3,2018,2018-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32018,36.84,3,2018,2018-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32018,28.57,3,2018,2018-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32018,57.14,3,2018,2018-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32018,66.67,3,2018,2018-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32018,57.14,3,2018,2018-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32018,83.33,3,2018,2018-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32018,45.45,3,2018,2018-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32018,30.0,3,2018,2018-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32018,22.22,3,2018,2018-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32018,50.0,3,2018,2018-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32018,40.0,3,2018,2018-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32018,16.67,3,2018,2018-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32018,35.29,3,2018,2018-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32018,17.65,3,2018,2018-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32018,31.58,3,2018,2018-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32018,25.0,3,2018,2018-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32018,52.63,3,2018,2018-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32018,46.67,3,2018,2018-09-30
+T,AT&T,Language Complexity,CQ32018,12.61,3,2018,2018-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32018,12.63,3,2018,2018-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32018,,3,2018,2018-09-30
+META,Meta Platforms,Language Complexity,CQ32018,12.3,3,2018,2018-09-30
+NFLX,Netflix,Language Complexity,CQ32018,11.62,3,2018,2018-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32018,15.01,3,2018,2018-09-30
+OMC,Omnicom Group,Language Complexity,CQ32018,14.71,3,2018,2018-09-30
+VZ,Verizon,Language Complexity,CQ32018,12.48,3,2018,2018-09-30
+AMZN,Amazon,Language Complexity,CQ32018,11.81,3,2018,2018-09-30
+AZO,AutoZone,Language Complexity,CQ32018,12.65,3,2018,2018-09-30
+BBY,Best Buy,Language Complexity,CQ32018,14.5,3,2018,2018-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32018,11.53,3,2018,2018-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32018,13.12,3,2018,2018-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32018,11.48,3,2018,2018-09-30
+F,Ford Motor Company,Language Complexity,CQ32018,12.46,3,2018,2018-09-30
+GM,General Motors,Language Complexity,CQ32018,12.18,3,2018,2018-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32018,12.23,3,2018,2018-09-30
+HAS,Hasbro,Language Complexity,CQ32018,12.02,3,2018,2018-09-30
+LOW,Lowe's,Language Complexity,CQ32018,14.25,3,2018,2018-09-30
+MCD,McDonald's,Language Complexity,CQ32018,12.48,3,2018,2018-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32018,13.62,3,2018,2018-09-30
+ROST,Ross Stores,Language Complexity,CQ32018,10.5,3,2018,2018-09-30
+TJX,TJX Companies,Language Complexity,CQ32018,11.66,3,2018,2018-09-30
+TGT,Target,Language Complexity,CQ32018,13.76,3,2018,2018-09-30
+MO,Altria,Language Complexity,CQ32018,12.49,3,2018,2018-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32018,12.18,3,2018,2018-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32018,12.94,3,2018,2018-09-30
+CLX,Clorox,Language Complexity,CQ32018,12.35,3,2018,2018-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32018,11.79,3,2018,2018-09-30
+COST,Costco,Language Complexity,CQ32018,,3,2018,2018-09-30
+GIS,General Mills,Language Complexity,CQ32018,11.93,3,2018,2018-09-30
+HSY,Hershey Company,Language Complexity,CQ32018,12.5,3,2018,2018-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32018,11.03,3,2018,2018-09-30
+KR,Kroger,Language Complexity,CQ32018,12.65,3,2018,2018-09-30
+MKC,McCormick & Company,Language Complexity,CQ32018,13.71,3,2018,2018-09-30
+PEP,PepsiCo,Language Complexity,CQ32018,14.2,3,2018,2018-09-30
+PG,Procter & Gamble,Language Complexity,CQ32018,13.19,3,2018,2018-09-30
+SYY,Sysco,Language Complexity,CQ32018,13.1,3,2018,2018-09-30
+WMT,Walmart,Language Complexity,CQ32018,,3,2018,2018-09-30
+APA,APA Corporation,Language Complexity,CQ32018,12.46,3,2018,2018-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32018,,3,2018,2018-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32018,12.92,3,2018,2018-09-30
+EOG,EOG Resources,Language Complexity,CQ32018,12.56,3,2018,2018-09-30
+XOM,ExxonMobil,Language Complexity,CQ32018,11.97,3,2018,2018-09-30
+HAL,Halliburton,Language Complexity,CQ32018,12.21,3,2018,2018-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32018,13.0,3,2018,2018-09-30
+SLB,Schlumberger,Language Complexity,CQ32018,13.16,3,2018,2018-09-30
+VLO,Valero Energy,Language Complexity,CQ32018,11.28,3,2018,2018-09-30
+AFL,Aflac,Language Complexity,CQ32018,11.79,3,2018,2018-09-30
+ALL,Allstate,Language Complexity,CQ32018,11.67,3,2018,2018-09-30
+AXP,American Express,Language Complexity,CQ32018,13.35,3,2018,2018-09-30
+AIG,American International Group,Language Complexity,CQ32018,13.85,3,2018,2018-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32018,12.96,3,2018,2018-09-30
+AON,Aon plc,Language Complexity,CQ32018,11.37,3,2018,2018-09-30
+BK,BNY Mellon,Language Complexity,CQ32018,11.98,3,2018,2018-09-30
+BAC,Bank of America,Language Complexity,CQ32018,11.46,3,2018,2018-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32018,,3,2018,2018-09-30
+BLK,BlackRock,Language Complexity,CQ32018,13.4,3,2018,2018-09-30
+CME,CME Group,Language Complexity,CQ32018,10.28,3,2018,2018-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32018,,3,2018,2018-09-30
+CB,Chubb Limited,Language Complexity,CQ32018,11.97,3,2018,2018-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32018,12.45,3,2018,2018-09-30
+C,Citigroup,Language Complexity,CQ32018,11.76,3,2018,2018-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32018,11.83,3,2018,2018-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32018,14.36,3,2018,2018-09-30
+FISV,Fiserv,Language Complexity,CQ32018,12.19,3,2018,2018-09-30
+GS,Goldman Sachs,Language Complexity,CQ32018,11.97,3,2018,2018-09-30
+HIG,Hartford Financial,Language Complexity,CQ32018,12.19,3,2018,2018-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32018,13.1,3,2018,2018-09-30
+IVZ,Invesco,Language Complexity,CQ32018,12.17,3,2018,2018-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32018,10.83,3,2018,2018-09-30
+KEY,KeyCorp,Language Complexity,CQ32018,12.1,3,2018,2018-09-30
+MA,Mastercard,Language Complexity,CQ32018,12.48,3,2018,2018-09-30
+MET,MetLife,Language Complexity,CQ32018,12.07,3,2018,2018-09-30
+MS,Morgan Stanley,Language Complexity,CQ32018,11.03,3,2018,2018-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32018,14.71,3,2018,2018-09-30
+NTRS,Northern Trust,Language Complexity,CQ32018,11.82,3,2018,2018-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32018,11.72,3,2018,2018-09-30
+PRU,Prudential Financial,Language Complexity,CQ32018,14.92,3,2018,2018-09-30
+RF,Regions Financial,Language Complexity,CQ32018,12.1,3,2018,2018-09-30
+SPGI,S&P Global,Language Complexity,CQ32018,12.3,3,2018,2018-09-30
+STT,State Street,Language Complexity,CQ32018,12.52,3,2018,2018-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32018,,3,2018,2018-09-30
+TRV,Travelers Companies,Language Complexity,CQ32018,12.53,3,2018,2018-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32018,11.05,3,2018,2018-09-30
+V,Visa,Language Complexity,CQ32018,13.12,3,2018,2018-09-30
+WFC,Wells Fargo,Language Complexity,CQ32018,12.53,3,2018,2018-09-30
+ABBV,AbbVie,Language Complexity,CQ32018,12.98,3,2018,2018-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32018,11.0,3,2018,2018-09-30
+A,Agilent Technologies,Language Complexity,CQ32018,10.81,3,2018,2018-09-30
+AMGN,Amgen,Language Complexity,CQ32018,13.57,3,2018,2018-09-30
+BAX,Baxter International,Language Complexity,CQ32018,12.07,3,2018,2018-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32018,12.18,3,2018,2018-09-30
+BIIB,Biogen,Language Complexity,CQ32018,13.68,3,2018,2018-09-30
+BSX,Boston Scientific,Language Complexity,CQ32018,13.23,3,2018,2018-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32018,11.81,3,2018,2018-09-30
+CVS,CVS Health,Language Complexity,CQ32018,13.82,3,2018,2018-09-30
+COR,Cencora,Language Complexity,CQ32018,,3,2018,2018-09-30
+CI,Cigna,Language Complexity,CQ32018,15.91,3,2018,2018-09-30
+DVA,DaVita,Language Complexity,CQ32018,10.47,3,2018,2018-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32018,13.44,3,2018,2018-09-30
+LLY,Eli Lilly,Language Complexity,CQ32018,11.07,3,2018,2018-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32018,13.01,3,2018,2018-09-30
+HUM,Humana,Language Complexity,CQ32018,14.16,3,2018,2018-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32018,13.06,3,2018,2018-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32018,14.04,3,2018,2018-09-30
+LH,Labcorp,Language Complexity,CQ32018,12.84,3,2018,2018-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32018,15.38,3,2018,2018-09-30
+MDT,Medtronic,Language Complexity,CQ32018,12.67,3,2018,2018-09-30
+MRK,Merck & Co.,Language Complexity,CQ32018,13.13,3,2018,2018-09-30
+PFE,Pfizer,Language Complexity,CQ32018,13.08,3,2018,2018-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32018,12.64,3,2018,2018-09-30
+WAT,Waters Corporation,Language Complexity,CQ32018,12.88,3,2018,2018-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32018,11.54,3,2018,2018-09-30
+MMM,3M,Language Complexity,CQ32018,11.28,3,2018,2018-09-30
+AME,Ametek,Language Complexity,CQ32018,11.28,3,2018,2018-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32018,12.35,3,2018,2018-09-30
+BA,Boeing,Language Complexity,CQ32018,13.38,3,2018,2018-09-30
+CSX,CSX Corporation,Language Complexity,CQ32018,11.35,3,2018,2018-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32018,11.68,3,2018,2018-09-30
+CTAS,Cintas,Language Complexity,CQ32018,11.39,3,2018,2018-09-30
+CMI,Cummins,Language Complexity,CQ32018,10.79,3,2018,2018-09-30
+DE,Deere & Company,Language Complexity,CQ32018,12.66,3,2018,2018-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32018,11.63,3,2018,2018-09-30
+EMR,Emerson Electric,Language Complexity,CQ32018,9.39,3,2018,2018-09-30
+EFX,Equifax,Language Complexity,CQ32018,13.07,3,2018,2018-09-30
+EXPD,Expeditors International,Language Complexity,CQ32018,,3,2018,2018-09-30
+FDX,FedEx,Language Complexity,CQ32018,12.9,3,2018,2018-09-30
+GE,GE Aerospace,Language Complexity,CQ32018,11.12,3,2018,2018-09-30
+GD,General Dynamics,Language Complexity,CQ32018,11.31,3,2018,2018-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32018,10.41,3,2018,2018-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32018,13.0,3,2018,2018-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32018,11.19,3,2018,2018-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32018,12.64,3,2018,2018-09-30
+PCAR,Paccar,Language Complexity,CQ32018,9.47,3,2018,2018-09-30
+RTX,RTX Corporation,Language Complexity,CQ32018,10.54,3,2018,2018-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32018,11.86,3,2018,2018-09-30
+ROP,Roper Technologies,Language Complexity,CQ32018,10.82,3,2018,2018-09-30
+SNA,Snap-on,Language Complexity,CQ32018,11.35,3,2018,2018-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32018,13.84,3,2018,2018-09-30
+UPS,United Parcel Service,Language Complexity,CQ32018,10.81,3,2018,2018-09-30
+WM,Waste Management,Language Complexity,CQ32018,12.17,3,2018,2018-09-30
+ACN,Accenture,Language Complexity,CQ32018,12.26,3,2018,2018-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32018,14.83,3,2018,2018-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32018,13.06,3,2018,2018-09-30
+APH,Amphenol,Language Complexity,CQ32018,13.26,3,2018,2018-09-30
+ADI,Analog Devices,Language Complexity,CQ32018,13.24,3,2018,2018-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32018,12.33,3,2018,2018-09-30
+AMAT,Applied Materials,Language Complexity,CQ32018,11.81,3,2018,2018-09-30
+ADSK,Autodesk,Language Complexity,CQ32018,13.73,3,2018,2018-09-30
+AVGO,Broadcom,Language Complexity,CQ32018,12.19,3,2018,2018-09-30
+CSCO,Cisco,Language Complexity,CQ32018,11.83,3,2018,2018-09-30
+CTSH,Cognizant,Language Complexity,CQ32018,13.59,3,2018,2018-09-30
+HPQ,HP Inc.,Language Complexity,CQ32018,13.35,3,2018,2018-09-30
+IBM,IBM,Language Complexity,CQ32018,13.37,3,2018,2018-09-30
+INTC,Intel,Language Complexity,CQ32018,12.04,3,2018,2018-09-30
+INTU,Intuit,Language Complexity,CQ32018,11.31,3,2018,2018-09-30
+LRCX,Lam Research,Language Complexity,CQ32018,13.07,3,2018,2018-09-30
+MU,Micron Technology,Language Complexity,CQ32018,13.26,3,2018,2018-09-30
+MSFT,Microsoft,Language Complexity,CQ32018,13.9,3,2018,2018-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32018,11.35,3,2018,2018-09-30
+NTAP,NetApp,Language Complexity,CQ32018,12.69,3,2018,2018-09-30
+NVDA,Nvidia,Language Complexity,CQ32018,12.13,3,2018,2018-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32018,11.36,3,2018,2018-09-30
+TXN,Texas Instruments,Language Complexity,CQ32018,10.71,3,2018,2018-09-30
+APD,Air Products,Language Complexity,CQ32018,11.16,3,2018,2018-09-30
+AVY,Avery Dennison,Language Complexity,CQ32018,12.57,3,2018,2018-09-30
+ECL,Ecolab,Language Complexity,CQ32018,10.16,3,2018,2018-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32018,12.75,3,2018,2018-09-30
+IP,International Paper,Language Complexity,CQ32018,11.09,3,2018,2018-09-30
+LIN,Linde plc,Language Complexity,CQ32018,12.36,3,2018,2018-09-30
+NEM,Newmont,Language Complexity,CQ32018,12.3,3,2018,2018-09-30
+NUE,Nucor,Language Complexity,CQ32018,11.95,3,2018,2018-09-30
+AMT,American Tower,Language Complexity,CQ32018,14.72,3,2018,2018-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32018,11.83,3,2018,2018-09-30
+EQR,Equity Residential,Language Complexity,CQ32018,12.21,3,2018,2018-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32018,10.83,3,2018,2018-09-30
+IRM,Iron Mountain,Language Complexity,CQ32018,12.91,3,2018,2018-09-30
+PLD,Prologis,Language Complexity,CQ32018,11.47,3,2018,2018-09-30
+VTR,Ventas,Language Complexity,CQ32018,12.43,3,2018,2018-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32018,11.47,3,2018,2018-09-30
+AES,AES Corporation,Language Complexity,CQ32018,10.61,3,2018,2018-09-30
+AEE,Ameren,Language Complexity,CQ32018,13.93,3,2018,2018-09-30
+AEP,American Electric Power,Language Complexity,CQ32018,13.03,3,2018,2018-09-30
+CMS,CMS Energy,Language Complexity,CQ32018,12.71,3,2018,2018-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32018,13.71,3,2018,2018-09-30
+DUK,Duke Energy,Language Complexity,CQ32018,13.94,3,2018,2018-09-30
+EIX,Edison International,Language Complexity,CQ32018,14.97,3,2018,2018-09-30
+ETR,Entergy,Language Complexity,CQ32018,13.98,3,2018,2018-09-30
+EXC,Exelon,Language Complexity,CQ32018,13.18,3,2018,2018-09-30
+NEE,NextEra Energy,Language Complexity,CQ32018,14.62,3,2018,2018-09-30
+SO,Southern Company,Language Complexity,CQ32018,11.91,3,2018,2018-09-30
+XEL,Xcel Energy,Language Complexity,CQ32018,11.94,3,2018,2018-09-30
+T,AT&T,Net Positivity,CQ42018,1.4,4,2018,2018-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42018,1.72,4,2018,2018-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42018,,4,2018,2018-12-31
+META,Meta Platforms,Net Positivity,CQ42018,1.42,4,2018,2018-12-31
+NFLX,Netflix,Net Positivity,CQ42018,1.15,4,2018,2018-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42018,1.25,4,2018,2018-12-31
+OMC,Omnicom Group,Net Positivity,CQ42018,0.98,4,2018,2018-12-31
+VZ,Verizon,Net Positivity,CQ42018,1.83,4,2018,2018-12-31
+AMZN,Amazon,Net Positivity,CQ42018,1.09,4,2018,2018-12-31
+AZO,AutoZone,Net Positivity,CQ42018,1.18,4,2018,2018-12-31
+BBY,Best Buy,Net Positivity,CQ42018,2.09,4,2018,2018-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42018,1.46,4,2018,2018-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42018,1.62,4,2018,2018-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42018,1.97,4,2018,2018-12-31
+F,Ford Motor Company,Net Positivity,CQ42018,1.35,4,2018,2018-12-31
+GM,General Motors,Net Positivity,CQ42018,1.22,4,2018,2018-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42018,2.21,4,2018,2018-12-31
+HAS,Hasbro,Net Positivity,CQ42018,0.92,4,2018,2018-12-31
+LOW,Lowe's,Net Positivity,CQ42018,0.67,4,2018,2018-12-31
+MCD,McDonald's,Net Positivity,CQ42018,2.19,4,2018,2018-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42018,2.81,4,2018,2018-12-31
+ROST,Ross Stores,Net Positivity,CQ42018,0.91,4,2018,2018-12-31
+TJX,TJX Companies,Net Positivity,CQ42018,1.09,4,2018,2018-12-31
+TGT,Target,Net Positivity,CQ42018,2.03,4,2018,2018-12-31
+MO,Altria,Net Positivity,CQ42018,0.72,4,2018,2018-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42018,1.55,4,2018,2018-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42018,0.41,4,2018,2018-12-31
+CLX,Clorox,Net Positivity,CQ42018,1.52,4,2018,2018-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42018,1.57,4,2018,2018-12-31
+COST,Costco,Net Positivity,CQ42018,0.87,4,2018,2018-12-31
+GIS,General Mills,Net Positivity,CQ42018,1.63,4,2018,2018-12-31
+HSY,Hershey Company,Net Positivity,CQ42018,1.71,4,2018,2018-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42018,0.92,4,2018,2018-12-31
+KR,Kroger,Net Positivity,CQ42018,1.33,4,2018,2018-12-31
+MKC,McCormick & Company,Net Positivity,CQ42018,,4,2018,2018-12-31
+PEP,PepsiCo,Net Positivity,CQ42018,1.73,4,2018,2018-12-31
+PG,Procter & Gamble,Net Positivity,CQ42018,1.09,4,2018,2018-12-31
+SYY,Sysco,Net Positivity,CQ42018,0.45,4,2018,2018-12-31
+WMT,Walmart,Net Positivity,CQ42018,1.15,4,2018,2018-12-31
+APA,APA Corporation,Net Positivity,CQ42018,1.28,4,2018,2018-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42018,,4,2018,2018-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42018,0.64,4,2018,2018-12-31
+EOG,EOG Resources,Net Positivity,CQ42018,2.44,4,2018,2018-12-31
+XOM,ExxonMobil,Net Positivity,CQ42018,1.27,4,2018,2018-12-31
+HAL,Halliburton,Net Positivity,CQ42018,1.76,4,2018,2018-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42018,2.12,4,2018,2018-12-31
+SLB,Schlumberger,Net Positivity,CQ42018,1.0,4,2018,2018-12-31
+VLO,Valero Energy,Net Positivity,CQ42018,0.19,4,2018,2018-12-31
+AFL,Aflac,Net Positivity,CQ42018,0.64,4,2018,2018-12-31
+ALL,Allstate,Net Positivity,CQ42018,0.78,4,2018,2018-12-31
+AXP,American Express,Net Positivity,CQ42018,1.06,4,2018,2018-12-31
+AIG,American International Group,Net Positivity,CQ42018,-0.38,4,2018,2018-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42018,1.53,4,2018,2018-12-31
+AON,Aon plc,Net Positivity,CQ42018,1.86,4,2018,2018-12-31
+BK,BNY Mellon,Net Positivity,CQ42018,0.81,4,2018,2018-12-31
+BAC,Bank of America,Net Positivity,CQ42018,1.15,4,2018,2018-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42018,,4,2018,2018-12-31
+BLK,BlackRock,Net Positivity,CQ42018,0.66,4,2018,2018-12-31
+CME,CME Group,Net Positivity,CQ42018,0.02,4,2018,2018-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42018,,4,2018,2018-12-31
+CB,Chubb Limited,Net Positivity,CQ42018,0.16,4,2018,2018-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42018,0.16,4,2018,2018-12-31
+C,Citigroup,Net Positivity,CQ42018,0.89,4,2018,2018-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42018,2.13,4,2018,2018-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42018,1.7,4,2018,2018-12-31
+FISV,Fiserv,Net Positivity,CQ42018,1.01,4,2018,2018-12-31
+GS,Goldman Sachs,Net Positivity,CQ42018,1.07,4,2018,2018-12-31
+HIG,Hartford Financial,Net Positivity,CQ42018,0.03,4,2018,2018-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42018,0.6,4,2018,2018-12-31
+IVZ,Invesco,Net Positivity,CQ42018,0.79,4,2018,2018-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42018,0.47,4,2018,2018-12-31
+KEY,KeyCorp,Net Positivity,CQ42018,0.82,4,2018,2018-12-31
+MA,Mastercard,Net Positivity,CQ42018,0.84,4,2018,2018-12-31
+MET,MetLife,Net Positivity,CQ42018,0.6,4,2018,2018-12-31
+MS,Morgan Stanley,Net Positivity,CQ42018,0.75,4,2018,2018-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42018,0.44,4,2018,2018-12-31
+NTRS,Northern Trust,Net Positivity,CQ42018,-0.05,4,2018,2018-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42018,0.23,4,2018,2018-12-31
+PRU,Prudential Financial,Net Positivity,CQ42018,1.38,4,2018,2018-12-31
+RF,Regions Financial,Net Positivity,CQ42018,1.21,4,2018,2018-12-31
+SPGI,S&P Global,Net Positivity,CQ42018,0.83,4,2018,2018-12-31
+STT,State Street,Net Positivity,CQ42018,0.66,4,2018,2018-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42018,,4,2018,2018-12-31
+TRV,Travelers Companies,Net Positivity,CQ42018,1.14,4,2018,2018-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42018,0.97,4,2018,2018-12-31
+V,Visa,Net Positivity,CQ42018,1.03,4,2018,2018-12-31
+WFC,Wells Fargo,Net Positivity,CQ42018,0.43,4,2018,2018-12-31
+ABBV,AbbVie,Net Positivity,CQ42018,1.42,4,2018,2018-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42018,1.32,4,2018,2018-12-31
+A,Agilent Technologies,Net Positivity,CQ42018,1.44,4,2018,2018-12-31
+AMGN,Amgen,Net Positivity,CQ42018,1.58,4,2018,2018-12-31
+BAX,Baxter International,Net Positivity,CQ42018,0.71,4,2018,2018-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42018,1.89,4,2018,2018-12-31
+BIIB,Biogen,Net Positivity,CQ42018,1.15,4,2018,2018-12-31
+BSX,Boston Scientific,Net Positivity,CQ42018,1.45,4,2018,2018-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42018,1.18,4,2018,2018-12-31
+CVS,CVS Health,Net Positivity,CQ42018,1.3,4,2018,2018-12-31
+COR,Cencora,Net Positivity,CQ42018,,4,2018,2018-12-31
+CI,Cigna,Net Positivity,CQ42018,2.33,4,2018,2018-12-31
+DVA,DaVita,Net Positivity,CQ42018,-0.34,4,2018,2018-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42018,2.01,4,2018,2018-12-31
+LLY,Eli Lilly,Net Positivity,CQ42018,1.41,4,2018,2018-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42018,1.34,4,2018,2018-12-31
+HUM,Humana,Net Positivity,CQ42018,1.27,4,2018,2018-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42018,1.02,4,2018,2018-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42018,1.78,4,2018,2018-12-31
+LH,Labcorp,Net Positivity,CQ42018,0.56,4,2018,2018-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42018,0.56,4,2018,2018-12-31
+MDT,Medtronic,Net Positivity,CQ42018,2.12,4,2018,2018-12-31
+MRK,Merck & Co.,Net Positivity,CQ42018,1.45,4,2018,2018-12-31
+PFE,Pfizer,Net Positivity,CQ42018,1.67,4,2018,2018-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42018,3.05,4,2018,2018-12-31
+WAT,Waters Corporation,Net Positivity,CQ42018,1.47,4,2018,2018-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42018,1.29,4,2018,2018-12-31
+MMM,3M,Net Positivity,CQ42018,0.52,4,2018,2018-12-31
+AME,Ametek,Net Positivity,CQ42018,1.68,4,2018,2018-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42018,2.1,4,2018,2018-12-31
+BA,Boeing,Net Positivity,CQ42018,1.78,4,2018,2018-12-31
+CSX,CSX Corporation,Net Positivity,CQ42018,1.72,4,2018,2018-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42018,1.61,4,2018,2018-12-31
+CTAS,Cintas,Net Positivity,CQ42018,1.43,4,2018,2018-12-31
+CMI,Cummins,Net Positivity,CQ42018,0.73,4,2018,2018-12-31
+DE,Deere & Company,Net Positivity,CQ42018,1.03,4,2018,2018-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42018,0.69,4,2018,2018-12-31
+EMR,Emerson Electric,Net Positivity,CQ42018,0.78,4,2018,2018-12-31
+EFX,Equifax,Net Positivity,CQ42018,0.72,4,2018,2018-12-31
+EXPD,Expeditors International,Net Positivity,CQ42018,,4,2018,2018-12-31
+FDX,FedEx,Net Positivity,CQ42018,0.69,4,2018,2018-12-31
+GE,GE Aerospace,Net Positivity,CQ42018,0.97,4,2018,2018-12-31
+GD,General Dynamics,Net Positivity,CQ42018,0.75,4,2018,2018-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42018,0.71,4,2018,2018-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42018,0.93,4,2018,2018-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42018,1.77,4,2018,2018-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42018,1.67,4,2018,2018-12-31
+PCAR,Paccar,Net Positivity,CQ42018,1.21,4,2018,2018-12-31
+RTX,RTX Corporation,Net Positivity,CQ42018,0.86,4,2018,2018-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42018,1.03,4,2018,2018-12-31
+ROP,Roper Technologies,Net Positivity,CQ42018,1.14,4,2018,2018-12-31
+SNA,Snap-on,Net Positivity,CQ42018,1.87,4,2018,2018-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42018,1.19,4,2018,2018-12-31
+UPS,United Parcel Service,Net Positivity,CQ42018,1.94,4,2018,2018-12-31
+WM,Waste Management,Net Positivity,CQ42018,1.31,4,2018,2018-12-31
+ACN,Accenture,Net Positivity,CQ42018,1.34,4,2018,2018-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42018,1.91,4,2018,2018-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42018,1.53,4,2018,2018-12-31
+APH,Amphenol,Net Positivity,CQ42018,1.49,4,2018,2018-12-31
+ADI,Analog Devices,Net Positivity,CQ42018,1.16,4,2018,2018-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42018,1.59,4,2018,2018-12-31
+AMAT,Applied Materials,Net Positivity,CQ42018,1.34,4,2018,2018-12-31
+ADSK,Autodesk,Net Positivity,CQ42018,1.46,4,2018,2018-12-31
+AVGO,Broadcom,Net Positivity,CQ42018,0.49,4,2018,2018-12-31
+CSCO,Cisco,Net Positivity,CQ42018,1.71,4,2018,2018-12-31
+CTSH,Cognizant,Net Positivity,CQ42018,0.92,4,2018,2018-12-31
+HPQ,HP Inc.,Net Positivity,CQ42018,1.51,4,2018,2018-12-31
+IBM,IBM,Net Positivity,CQ42018,1.32,4,2018,2018-12-31
+INTC,Intel,Net Positivity,CQ42018,2.03,4,2018,2018-12-31
+INTU,Intuit,Net Positivity,CQ42018,1.51,4,2018,2018-12-31
+LRCX,Lam Research,Net Positivity,CQ42018,0.86,4,2018,2018-12-31
+MU,Micron Technology,Net Positivity,CQ42018,1.24,4,2018,2018-12-31
+MSFT,Microsoft,Net Positivity,CQ42018,2.03,4,2018,2018-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42018,0.76,4,2018,2018-12-31
+NTAP,NetApp,Net Positivity,CQ42018,1.37,4,2018,2018-12-31
+NVDA,Nvidia,Net Positivity,CQ42018,1.03,4,2018,2018-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42018,1.21,4,2018,2018-12-31
+TXN,Texas Instruments,Net Positivity,CQ42018,0.27,4,2018,2018-12-31
+APD,Air Products,Net Positivity,CQ42018,1.26,4,2018,2018-12-31
+AVY,Avery Dennison,Net Positivity,CQ42018,0.66,4,2018,2018-12-31
+ECL,Ecolab,Net Positivity,CQ42018,1.11,4,2018,2018-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42018,1.44,4,2018,2018-12-31
+IP,International Paper,Net Positivity,CQ42018,0.89,4,2018,2018-12-31
+LIN,Linde plc,Net Positivity,CQ42018,,4,2018,2018-12-31
+NEM,Newmont,Net Positivity,CQ42018,1.06,4,2018,2018-12-31
+NUE,Nucor,Net Positivity,CQ42018,0.78,4,2018,2018-12-31
+AMT,American Tower,Net Positivity,CQ42018,1.36,4,2018,2018-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42018,0.43,4,2018,2018-12-31
+EQR,Equity Residential,Net Positivity,CQ42018,0.72,4,2018,2018-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42018,0.89,4,2018,2018-12-31
+IRM,Iron Mountain,Net Positivity,CQ42018,1.12,4,2018,2018-12-31
+PLD,Prologis,Net Positivity,CQ42018,0.98,4,2018,2018-12-31
+VTR,Ventas,Net Positivity,CQ42018,1.66,4,2018,2018-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42018,0.18,4,2018,2018-12-31
+AES,AES Corporation,Net Positivity,CQ42018,1.07,4,2018,2018-12-31
+AEE,Ameren,Net Positivity,CQ42018,1.74,4,2018,2018-12-31
+AEP,American Electric Power,Net Positivity,CQ42018,0.92,4,2018,2018-12-31
+CMS,CMS Energy,Net Positivity,CQ42018,0.78,4,2018,2018-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42018,1.61,4,2018,2018-12-31
+DUK,Duke Energy,Net Positivity,CQ42018,0.95,4,2018,2018-12-31
+EIX,Edison International,Net Positivity,CQ42018,-0.85,4,2018,2018-12-31
+ETR,Entergy,Net Positivity,CQ42018,1.3,4,2018,2018-12-31
+EXC,Exelon,Net Positivity,CQ42018,1.01,4,2018,2018-12-31
+NEE,NextEra Energy,Net Positivity,CQ42018,1.7,4,2018,2018-12-31
+SO,Southern Company,Net Positivity,CQ42018,1.19,4,2018,2018-12-31
+XEL,Xcel Energy,Net Positivity,CQ42018,1.26,4,2018,2018-12-31
+T,AT&T,Numeric Transeprency,CQ42018,2.04,4,2018,2018-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42018,1.47,4,2018,2018-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42018,,4,2018,2018-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42018,1.29,4,2018,2018-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42018,0.47,4,2018,2018-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42018,2.51,4,2018,2018-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42018,3.49,4,2018,2018-12-31
+VZ,Verizon,Numeric Transeprency,CQ42018,2.09,4,2018,2018-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42018,1.72,4,2018,2018-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42018,2.32,4,2018,2018-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42018,1.82,4,2018,2018-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42018,1.43,4,2018,2018-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42018,1.89,4,2018,2018-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42018,1.75,4,2018,2018-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42018,1.39,4,2018,2018-12-31
+GM,General Motors,Numeric Transeprency,CQ42018,1.9,4,2018,2018-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42018,3.6,4,2018,2018-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42018,1.52,4,2018,2018-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42018,2.01,4,2018,2018-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42018,1.95,4,2018,2018-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42018,1.88,4,2018,2018-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42018,2.1,4,2018,2018-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42018,1.8,4,2018,2018-12-31
+TGT,Target,Numeric Transeprency,CQ42018,1.32,4,2018,2018-12-31
+MO,Altria,Numeric Transeprency,CQ42018,1.87,4,2018,2018-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42018,2.37,4,2018,2018-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42018,1.77,4,2018,2018-12-31
+CLX,Clorox,Numeric Transeprency,CQ42018,1.6,4,2018,2018-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42018,1.11,4,2018,2018-12-31
+COST,Costco,Numeric Transeprency,CQ42018,3.95,4,2018,2018-12-31
+GIS,General Mills,Numeric Transeprency,CQ42018,1.53,4,2018,2018-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42018,2.37,4,2018,2018-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42018,1.59,4,2018,2018-12-31
+KR,Kroger,Numeric Transeprency,CQ42018,1.81,4,2018,2018-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42018,,4,2018,2018-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42018,1.28,4,2018,2018-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42018,1.77,4,2018,2018-12-31
+SYY,Sysco,Numeric Transeprency,CQ42018,0.95,4,2018,2018-12-31
+WMT,Walmart,Numeric Transeprency,CQ42018,1.06,4,2018,2018-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42018,3.13,4,2018,2018-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42018,,4,2018,2018-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42018,2.99,4,2018,2018-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42018,2.03,4,2018,2018-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42018,2.4,4,2018,2018-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42018,1.44,4,2018,2018-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42018,2.86,4,2018,2018-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42018,1.68,4,2018,2018-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42018,2.01,4,2018,2018-12-31
+AFL,Aflac,Numeric Transeprency,CQ42018,1.35,4,2018,2018-12-31
+ALL,Allstate,Numeric Transeprency,CQ42018,2.56,4,2018,2018-12-31
+AXP,American Express,Numeric Transeprency,CQ42018,1.65,4,2018,2018-12-31
+AIG,American International Group,Numeric Transeprency,CQ42018,2.93,4,2018,2018-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42018,1.76,4,2018,2018-12-31
+AON,Aon plc,Numeric Transeprency,CQ42018,1.28,4,2018,2018-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42018,2.13,4,2018,2018-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42018,3.42,4,2018,2018-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42018,,4,2018,2018-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42018,1.61,4,2018,2018-12-31
+CME,CME Group,Numeric Transeprency,CQ42018,1.47,4,2018,2018-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42018,,4,2018,2018-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42018,2.57,4,2018,2018-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42018,2.31,4,2018,2018-12-31
+C,Citigroup,Numeric Transeprency,CQ42018,2.62,4,2018,2018-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42018,3.19,4,2018,2018-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42018,2.59,4,2018,2018-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42018,3.07,4,2018,2018-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42018,2.21,4,2018,2018-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42018,2.44,4,2018,2018-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42018,2.08,4,2018,2018-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42018,1.97,4,2018,2018-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42018,1.74,4,2018,2018-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42018,2.59,4,2018,2018-12-31
+MA,Mastercard,Numeric Transeprency,CQ42018,1.66,4,2018,2018-12-31
+MET,MetLife,Numeric Transeprency,CQ42018,3.29,4,2018,2018-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42018,2.34,4,2018,2018-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42018,2.2,4,2018,2018-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42018,3.19,4,2018,2018-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42018,2.08,4,2018,2018-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42018,1.71,4,2018,2018-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42018,2.05,4,2018,2018-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42018,2.52,4,2018,2018-12-31
+STT,State Street,Numeric Transeprency,CQ42018,1.64,4,2018,2018-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42018,,4,2018,2018-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42018,2.02,4,2018,2018-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42018,1.65,4,2018,2018-12-31
+V,Visa,Numeric Transeprency,CQ42018,3.4,4,2018,2018-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42018,1.81,4,2018,2018-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42018,2.93,4,2018,2018-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42018,1.36,4,2018,2018-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42018,2.22,4,2018,2018-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42018,1.93,4,2018,2018-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42018,2.42,4,2018,2018-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42018,3.89,4,2018,2018-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42018,2.53,4,2018,2018-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42018,4.02,4,2018,2018-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42018,1.02,4,2018,2018-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42018,1.52,4,2018,2018-12-31
+COR,Cencora,Numeric Transeprency,CQ42018,,4,2018,2018-12-31
+CI,Cigna,Numeric Transeprency,CQ42018,2.74,4,2018,2018-12-31
+DVA,DaVita,Numeric Transeprency,CQ42018,2.31,4,2018,2018-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42018,1.58,4,2018,2018-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42018,2.55,4,2018,2018-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42018,2.03,4,2018,2018-12-31
+HUM,Humana,Numeric Transeprency,CQ42018,2.11,4,2018,2018-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42018,2.85,4,2018,2018-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42018,2.8,4,2018,2018-12-31
+LH,Labcorp,Numeric Transeprency,CQ42018,2.52,4,2018,2018-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42018,2.1,4,2018,2018-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42018,2.07,4,2018,2018-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42018,1.31,4,2018,2018-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42018,1.96,4,2018,2018-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42018,2.61,4,2018,2018-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42018,2.05,4,2018,2018-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42018,1.56,4,2018,2018-12-31
+MMM,3M,Numeric Transeprency,CQ42018,2.92,4,2018,2018-12-31
+AME,Ametek,Numeric Transeprency,CQ42018,2.39,4,2018,2018-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42018,1.77,4,2018,2018-12-31
+BA,Boeing,Numeric Transeprency,CQ42018,2.51,4,2018,2018-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42018,1.8,4,2018,2018-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42018,2.24,4,2018,2018-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42018,2.22,4,2018,2018-12-31
+CMI,Cummins,Numeric Transeprency,CQ42018,3.64,4,2018,2018-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42018,3.44,4,2018,2018-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42018,3.24,4,2018,2018-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42018,3.82,4,2018,2018-12-31
+EFX,Equifax,Numeric Transeprency,CQ42018,3.17,4,2018,2018-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42018,,4,2018,2018-12-31
+FDX,FedEx,Numeric Transeprency,CQ42018,1.5,4,2018,2018-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42018,2.34,4,2018,2018-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42018,4.51,4,2018,2018-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42018,3.02,4,2018,2018-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42018,3.27,4,2018,2018-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42018,1.63,4,2018,2018-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42018,2.36,4,2018,2018-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42018,2.16,4,2018,2018-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42018,2.42,4,2018,2018-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42018,3.18,4,2018,2018-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42018,2.53,4,2018,2018-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42018,3.32,4,2018,2018-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42018,3.19,4,2018,2018-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42018,2.0,4,2018,2018-12-31
+WM,Waste Management,Numeric Transeprency,CQ42018,3.46,4,2018,2018-12-31
+ACN,Accenture,Numeric Transeprency,CQ42018,2.51,4,2018,2018-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42018,2.85,4,2018,2018-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42018,2.38,4,2018,2018-12-31
+APH,Amphenol,Numeric Transeprency,CQ42018,2.21,4,2018,2018-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42018,2.2,4,2018,2018-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42018,2.44,4,2018,2018-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42018,2.69,4,2018,2018-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42018,1.82,4,2018,2018-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42018,3.41,4,2018,2018-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42018,1.8,4,2018,2018-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42018,2.04,4,2018,2018-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42018,2.59,4,2018,2018-12-31
+IBM,IBM,Numeric Transeprency,CQ42018,2.35,4,2018,2018-12-31
+INTC,Intel,Numeric Transeprency,CQ42018,3.54,4,2018,2018-12-31
+INTU,Intuit,Numeric Transeprency,CQ42018,1.61,4,2018,2018-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42018,2.11,4,2018,2018-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42018,2.38,4,2018,2018-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42018,2.57,4,2018,2018-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42018,4.07,4,2018,2018-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42018,1.49,4,2018,2018-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42018,2.22,4,2018,2018-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42018,2.52,4,2018,2018-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42018,2.32,4,2018,2018-12-31
+APD,Air Products,Numeric Transeprency,CQ42018,3.66,4,2018,2018-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42018,1.57,4,2018,2018-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42018,1.65,4,2018,2018-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42018,2.19,4,2018,2018-12-31
+IP,International Paper,Numeric Transeprency,CQ42018,1.49,4,2018,2018-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42018,,4,2018,2018-12-31
+NEM,Newmont,Numeric Transeprency,CQ42018,2.39,4,2018,2018-12-31
+NUE,Nucor,Numeric Transeprency,CQ42018,2.59,4,2018,2018-12-31
+AMT,American Tower,Numeric Transeprency,CQ42018,3.28,4,2018,2018-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42018,2.43,4,2018,2018-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42018,2.41,4,2018,2018-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42018,2.51,4,2018,2018-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42018,2.96,4,2018,2018-12-31
+PLD,Prologis,Numeric Transeprency,CQ42018,2.18,4,2018,2018-12-31
+VTR,Ventas,Numeric Transeprency,CQ42018,2.38,4,2018,2018-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42018,2.25,4,2018,2018-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42018,3.15,4,2018,2018-12-31
+AEE,Ameren,Numeric Transeprency,CQ42018,3.28,4,2018,2018-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42018,2.74,4,2018,2018-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42018,2.41,4,2018,2018-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42018,4.52,4,2018,2018-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42018,2.33,4,2018,2018-12-31
+EIX,Edison International,Numeric Transeprency,CQ42018,1.84,4,2018,2018-12-31
+ETR,Entergy,Numeric Transeprency,CQ42018,2.08,4,2018,2018-12-31
+EXC,Exelon,Numeric Transeprency,CQ42018,3.07,4,2018,2018-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42018,3.8,4,2018,2018-12-31
+SO,Southern Company,Numeric Transeprency,CQ42018,2.8,4,2018,2018-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42018,2.71,4,2018,2018-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42018,21.43,4,2018,2018-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42018,22.5,4,2018,2018-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42018,,4,2018,2018-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42018,21.95,4,2018,2018-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42018,2.56,4,2018,2018-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42018,37.5,4,2018,2018-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42018,25.0,4,2018,2018-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42018,32.26,4,2018,2018-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42018,25.58,4,2018,2018-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42018,26.09,4,2018,2018-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42018,25.93,4,2018,2018-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42018,36.67,4,2018,2018-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42018,30.3,4,2018,2018-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42018,48.28,4,2018,2018-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42018,25.0,4,2018,2018-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42018,38.1,4,2018,2018-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42018,54.55,4,2018,2018-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42018,81.25,4,2018,2018-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42018,16.67,4,2018,2018-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42018,29.03,4,2018,2018-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42018,15.38,4,2018,2018-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42018,56.25,4,2018,2018-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42018,29.41,4,2018,2018-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42018,20.0,4,2018,2018-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42018,43.75,4,2018,2018-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42018,46.15,4,2018,2018-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42018,26.32,4,2018,2018-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42018,64.71,4,2018,2018-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42018,58.33,4,2018,2018-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42018,30.0,4,2018,2018-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42018,36.36,4,2018,2018-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42018,55.0,4,2018,2018-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42018,70.59,4,2018,2018-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42018,27.59,4,2018,2018-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42018,,4,2018,2018-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42018,65.22,4,2018,2018-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42018,60.0,4,2018,2018-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42018,68.75,4,2018,2018-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42018,53.85,4,2018,2018-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42018,30.43,4,2018,2018-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42018,,4,2018,2018-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42018,16.0,4,2018,2018-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42018,22.58,4,2018,2018-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42018,40.0,4,2018,2018-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42018,20.59,4,2018,2018-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42018,35.0,4,2018,2018-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42018,20.59,4,2018,2018-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42018,66.67,4,2018,2018-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42018,60.0,4,2018,2018-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42018,40.0,4,2018,2018-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42018,38.71,4,2018,2018-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42018,50.0,4,2018,2018-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42018,66.67,4,2018,2018-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42018,35.0,4,2018,2018-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42018,42.86,4,2018,2018-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42018,34.62,4,2018,2018-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42018,,4,2018,2018-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42018,53.33,4,2018,2018-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42018,44.44,4,2018,2018-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42018,,4,2018,2018-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42018,35.0,4,2018,2018-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42018,57.14,4,2018,2018-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42018,34.62,4,2018,2018-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42018,25.0,4,2018,2018-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42018,29.17,4,2018,2018-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42018,40.91,4,2018,2018-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42018,44.44,4,2018,2018-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42018,47.37,4,2018,2018-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42018,73.33,4,2018,2018-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42018,87.5,4,2018,2018-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42018,50.0,4,2018,2018-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42018,42.31,4,2018,2018-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42018,24.32,4,2018,2018-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42018,52.63,4,2018,2018-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42018,33.33,4,2018,2018-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42018,78.57,4,2018,2018-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42018,65.0,4,2018,2018-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42018,40.0,4,2018,2018-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42018,33.33,4,2018,2018-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42018,28.0,4,2018,2018-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42018,53.85,4,2018,2018-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42018,61.9,4,2018,2018-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42018,,4,2018,2018-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42018,40.91,4,2018,2018-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42018,50.0,4,2018,2018-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42018,17.14,4,2018,2018-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42018,30.0,4,2018,2018-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42018,36.36,4,2018,2018-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42018,35.0,4,2018,2018-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42018,92.86,4,2018,2018-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42018,72.73,4,2018,2018-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42018,37.5,4,2018,2018-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42018,50.0,4,2018,2018-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42018,46.67,4,2018,2018-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42018,28.0,4,2018,2018-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42018,66.67,4,2018,2018-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42018,36.36,4,2018,2018-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42018,,4,2018,2018-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42018,60.0,4,2018,2018-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42018,54.55,4,2018,2018-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42018,41.18,4,2018,2018-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42018,62.5,4,2018,2018-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42018,42.31,4,2018,2018-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42018,52.38,4,2018,2018-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42018,55.56,4,2018,2018-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42018,57.14,4,2018,2018-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42018,63.16,4,2018,2018-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42018,35.29,4,2018,2018-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42018,24.0,4,2018,2018-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42018,41.18,4,2018,2018-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42018,70.59,4,2018,2018-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42018,53.33,4,2018,2018-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42018,40.0,4,2018,2018-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42018,53.57,4,2018,2018-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42018,60.0,4,2018,2018-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42018,66.67,4,2018,2018-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42018,41.18,4,2018,2018-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42018,45.0,4,2018,2018-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42018,61.54,4,2018,2018-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42018,42.86,4,2018,2018-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42018,68.75,4,2018,2018-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42018,19.23,4,2018,2018-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42018,57.14,4,2018,2018-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42018,52.17,4,2018,2018-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42018,36.36,4,2018,2018-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42018,43.75,4,2018,2018-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42018,,4,2018,2018-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42018,0.0,4,2018,2018-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42018,75.0,4,2018,2018-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42018,50.0,4,2018,2018-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42018,54.55,4,2018,2018-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42018,47.37,4,2018,2018-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42018,55.56,4,2018,2018-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42018,61.11,4,2018,2018-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42018,60.0,4,2018,2018-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42018,33.33,4,2018,2018-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42018,35.0,4,2018,2018-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42018,45.45,4,2018,2018-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42018,87.5,4,2018,2018-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42018,41.18,4,2018,2018-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42018,14.29,4,2018,2018-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42018,63.64,4,2018,2018-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42018,30.77,4,2018,2018-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42018,0.0,4,2018,2018-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42018,36.36,4,2018,2018-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42018,50.0,4,2018,2018-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42018,32.0,4,2018,2018-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42018,12.82,4,2018,2018-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42018,52.17,4,2018,2018-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42018,36.0,4,2018,2018-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42018,38.89,4,2018,2018-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42018,37.93,4,2018,2018-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42018,33.33,4,2018,2018-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42018,60.0,4,2018,2018-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42018,40.91,4,2018,2018-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42018,23.81,4,2018,2018-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42018,61.9,4,2018,2018-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42018,52.17,4,2018,2018-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42018,17.14,4,2018,2018-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42018,26.47,4,2018,2018-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42018,42.86,4,2018,2018-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42018,28.13,4,2018,2018-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42018,27.5,4,2018,2018-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42018,5.71,4,2018,2018-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42018,25.0,4,2018,2018-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42018,65.0,4,2018,2018-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42018,81.82,4,2018,2018-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42018,60.87,4,2018,2018-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42018,71.43,4,2018,2018-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42018,62.5,4,2018,2018-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42018,,4,2018,2018-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42018,31.25,4,2018,2018-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42018,43.75,4,2018,2018-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42018,44.44,4,2018,2018-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42018,25.0,4,2018,2018-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42018,55.56,4,2018,2018-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42018,60.0,4,2018,2018-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42018,71.43,4,2018,2018-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42018,71.43,4,2018,2018-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42018,28.57,4,2018,2018-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42018,72.73,4,2018,2018-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42018,45.45,4,2018,2018-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42018,45.45,4,2018,2018-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42018,42.11,4,2018,2018-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42018,47.06,4,2018,2018-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42018,26.67,4,2018,2018-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42018,47.37,4,2018,2018-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42018,41.18,4,2018,2018-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42018,33.33,4,2018,2018-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42018,25.0,4,2018,2018-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42018,38.89,4,2018,2018-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42018,50.0,4,2018,2018-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42018,46.67,4,2018,2018-12-31
+T,AT&T,Language Complexity,CQ42018,11.84,4,2018,2018-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42018,12.04,4,2018,2018-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42018,,4,2018,2018-12-31
+META,Meta Platforms,Language Complexity,CQ42018,12.36,4,2018,2018-12-31
+NFLX,Netflix,Language Complexity,CQ42018,12.14,4,2018,2018-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42018,14.82,4,2018,2018-12-31
+OMC,Omnicom Group,Language Complexity,CQ42018,14.01,4,2018,2018-12-31
+VZ,Verizon,Language Complexity,CQ42018,12.94,4,2018,2018-12-31
+AMZN,Amazon,Language Complexity,CQ42018,11.09,4,2018,2018-12-31
+AZO,AutoZone,Language Complexity,CQ42018,12.8,4,2018,2018-12-31
+BBY,Best Buy,Language Complexity,CQ42018,13.82,4,2018,2018-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42018,11.33,4,2018,2018-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42018,12.67,4,2018,2018-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42018,10.78,4,2018,2018-12-31
+F,Ford Motor Company,Language Complexity,CQ42018,11.83,4,2018,2018-12-31
+GM,General Motors,Language Complexity,CQ42018,11.49,4,2018,2018-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42018,12.65,4,2018,2018-12-31
+HAS,Hasbro,Language Complexity,CQ42018,12.32,4,2018,2018-12-31
+LOW,Lowe's,Language Complexity,CQ42018,14.0,4,2018,2018-12-31
+MCD,McDonald's,Language Complexity,CQ42018,13.49,4,2018,2018-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42018,13.45,4,2018,2018-12-31
+ROST,Ross Stores,Language Complexity,CQ42018,10.62,4,2018,2018-12-31
+TJX,TJX Companies,Language Complexity,CQ42018,12.19,4,2018,2018-12-31
+TGT,Target,Language Complexity,CQ42018,13.04,4,2018,2018-12-31
+MO,Altria,Language Complexity,CQ42018,12.41,4,2018,2018-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42018,12.47,4,2018,2018-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42018,12.36,4,2018,2018-12-31
+CLX,Clorox,Language Complexity,CQ42018,12.43,4,2018,2018-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42018,12.6,4,2018,2018-12-31
+COST,Costco,Language Complexity,CQ42018,9.99,4,2018,2018-12-31
+GIS,General Mills,Language Complexity,CQ42018,11.9,4,2018,2018-12-31
+HSY,Hershey Company,Language Complexity,CQ42018,12.32,4,2018,2018-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42018,11.85,4,2018,2018-12-31
+KR,Kroger,Language Complexity,CQ42018,12.3,4,2018,2018-12-31
+MKC,McCormick & Company,Language Complexity,CQ42018,,4,2018,2018-12-31
+PEP,PepsiCo,Language Complexity,CQ42018,12.9,4,2018,2018-12-31
+PG,Procter & Gamble,Language Complexity,CQ42018,12.6,4,2018,2018-12-31
+SYY,Sysco,Language Complexity,CQ42018,12.25,4,2018,2018-12-31
+WMT,Walmart,Language Complexity,CQ42018,10.54,4,2018,2018-12-31
+APA,APA Corporation,Language Complexity,CQ42018,13.04,4,2018,2018-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42018,,4,2018,2018-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42018,14.17,4,2018,2018-12-31
+EOG,EOG Resources,Language Complexity,CQ42018,12.89,4,2018,2018-12-31
+XOM,ExxonMobil,Language Complexity,CQ42018,11.85,4,2018,2018-12-31
+HAL,Halliburton,Language Complexity,CQ42018,12.93,4,2018,2018-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42018,12.84,4,2018,2018-12-31
+SLB,Schlumberger,Language Complexity,CQ42018,13.76,4,2018,2018-12-31
+VLO,Valero Energy,Language Complexity,CQ42018,11.84,4,2018,2018-12-31
+AFL,Aflac,Language Complexity,CQ42018,12.25,4,2018,2018-12-31
+ALL,Allstate,Language Complexity,CQ42018,11.18,4,2018,2018-12-31
+AXP,American Express,Language Complexity,CQ42018,13.71,4,2018,2018-12-31
+AIG,American International Group,Language Complexity,CQ42018,14.67,4,2018,2018-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42018,12.72,4,2018,2018-12-31
+AON,Aon plc,Language Complexity,CQ42018,13.29,4,2018,2018-12-31
+BK,BNY Mellon,Language Complexity,CQ42018,12.36,4,2018,2018-12-31
+BAC,Bank of America,Language Complexity,CQ42018,11.34,4,2018,2018-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42018,,4,2018,2018-12-31
+BLK,BlackRock,Language Complexity,CQ42018,14.13,4,2018,2018-12-31
+CME,CME Group,Language Complexity,CQ42018,10.95,4,2018,2018-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42018,,4,2018,2018-12-31
+CB,Chubb Limited,Language Complexity,CQ42018,12.71,4,2018,2018-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42018,13.44,4,2018,2018-12-31
+C,Citigroup,Language Complexity,CQ42018,12.2,4,2018,2018-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42018,12.34,4,2018,2018-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42018,12.35,4,2018,2018-12-31
+FISV,Fiserv,Language Complexity,CQ42018,11.95,4,2018,2018-12-31
+GS,Goldman Sachs,Language Complexity,CQ42018,13.2,4,2018,2018-12-31
+HIG,Hartford Financial,Language Complexity,CQ42018,12.68,4,2018,2018-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42018,13.27,4,2018,2018-12-31
+IVZ,Invesco,Language Complexity,CQ42018,11.26,4,2018,2018-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42018,11.06,4,2018,2018-12-31
+KEY,KeyCorp,Language Complexity,CQ42018,11.12,4,2018,2018-12-31
+MA,Mastercard,Language Complexity,CQ42018,12.59,4,2018,2018-12-31
+MET,MetLife,Language Complexity,CQ42018,12.61,4,2018,2018-12-31
+MS,Morgan Stanley,Language Complexity,CQ42018,11.85,4,2018,2018-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42018,14.88,4,2018,2018-12-31
+NTRS,Northern Trust,Language Complexity,CQ42018,10.96,4,2018,2018-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42018,10.88,4,2018,2018-12-31
+PRU,Prudential Financial,Language Complexity,CQ42018,13.88,4,2018,2018-12-31
+RF,Regions Financial,Language Complexity,CQ42018,13.58,4,2018,2018-12-31
+SPGI,S&P Global,Language Complexity,CQ42018,12.75,4,2018,2018-12-31
+STT,State Street,Language Complexity,CQ42018,12.38,4,2018,2018-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42018,,4,2018,2018-12-31
+TRV,Travelers Companies,Language Complexity,CQ42018,12.48,4,2018,2018-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42018,11.21,4,2018,2018-12-31
+V,Visa,Language Complexity,CQ42018,13.48,4,2018,2018-12-31
+WFC,Wells Fargo,Language Complexity,CQ42018,12.79,4,2018,2018-12-31
+ABBV,AbbVie,Language Complexity,CQ42018,12.51,4,2018,2018-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42018,10.28,4,2018,2018-12-31
+A,Agilent Technologies,Language Complexity,CQ42018,10.98,4,2018,2018-12-31
+AMGN,Amgen,Language Complexity,CQ42018,13.0,4,2018,2018-12-31
+BAX,Baxter International,Language Complexity,CQ42018,12.42,4,2018,2018-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42018,11.59,4,2018,2018-12-31
+BIIB,Biogen,Language Complexity,CQ42018,13.67,4,2018,2018-12-31
+BSX,Boston Scientific,Language Complexity,CQ42018,13.46,4,2018,2018-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42018,12.21,4,2018,2018-12-31
+CVS,CVS Health,Language Complexity,CQ42018,13.0,4,2018,2018-12-31
+COR,Cencora,Language Complexity,CQ42018,,4,2018,2018-12-31
+CI,Cigna,Language Complexity,CQ42018,15.79,4,2018,2018-12-31
+DVA,DaVita,Language Complexity,CQ42018,10.44,4,2018,2018-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42018,12.96,4,2018,2018-12-31
+LLY,Eli Lilly,Language Complexity,CQ42018,11.38,4,2018,2018-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42018,14.02,4,2018,2018-12-31
+HUM,Humana,Language Complexity,CQ42018,13.79,4,2018,2018-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42018,12.42,4,2018,2018-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42018,12.91,4,2018,2018-12-31
+LH,Labcorp,Language Complexity,CQ42018,13.11,4,2018,2018-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42018,16.02,4,2018,2018-12-31
+MDT,Medtronic,Language Complexity,CQ42018,12.38,4,2018,2018-12-31
+MRK,Merck & Co.,Language Complexity,CQ42018,13.06,4,2018,2018-12-31
+PFE,Pfizer,Language Complexity,CQ42018,13.89,4,2018,2018-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42018,12.65,4,2018,2018-12-31
+WAT,Waters Corporation,Language Complexity,CQ42018,13.82,4,2018,2018-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42018,10.94,4,2018,2018-12-31
+MMM,3M,Language Complexity,CQ42018,10.73,4,2018,2018-12-31
+AME,Ametek,Language Complexity,CQ42018,11.13,4,2018,2018-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42018,13.63,4,2018,2018-12-31
+BA,Boeing,Language Complexity,CQ42018,13.61,4,2018,2018-12-31
+CSX,CSX Corporation,Language Complexity,CQ42018,10.6,4,2018,2018-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42018,11.49,4,2018,2018-12-31
+CTAS,Cintas,Language Complexity,CQ42018,10.94,4,2018,2018-12-31
+CMI,Cummins,Language Complexity,CQ42018,11.37,4,2018,2018-12-31
+DE,Deere & Company,Language Complexity,CQ42018,12.55,4,2018,2018-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42018,11.66,4,2018,2018-12-31
+EMR,Emerson Electric,Language Complexity,CQ42018,9.54,4,2018,2018-12-31
+EFX,Equifax,Language Complexity,CQ42018,14.67,4,2018,2018-12-31
+EXPD,Expeditors International,Language Complexity,CQ42018,,4,2018,2018-12-31
+FDX,FedEx,Language Complexity,CQ42018,12.66,4,2018,2018-12-31
+GE,GE Aerospace,Language Complexity,CQ42018,11.81,4,2018,2018-12-31
+GD,General Dynamics,Language Complexity,CQ42018,11.12,4,2018,2018-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42018,11.02,4,2018,2018-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42018,13.0,4,2018,2018-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42018,11.87,4,2018,2018-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42018,12.55,4,2018,2018-12-31
+PCAR,Paccar,Language Complexity,CQ42018,10.72,4,2018,2018-12-31
+RTX,RTX Corporation,Language Complexity,CQ42018,10.59,4,2018,2018-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42018,11.44,4,2018,2018-12-31
+ROP,Roper Technologies,Language Complexity,CQ42018,11.66,4,2018,2018-12-31
+SNA,Snap-on,Language Complexity,CQ42018,11.62,4,2018,2018-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42018,13.56,4,2018,2018-12-31
+UPS,United Parcel Service,Language Complexity,CQ42018,12.09,4,2018,2018-12-31
+WM,Waste Management,Language Complexity,CQ42018,12.43,4,2018,2018-12-31
+ACN,Accenture,Language Complexity,CQ42018,12.68,4,2018,2018-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42018,15.12,4,2018,2018-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42018,13.5,4,2018,2018-12-31
+APH,Amphenol,Language Complexity,CQ42018,13.47,4,2018,2018-12-31
+ADI,Analog Devices,Language Complexity,CQ42018,13.02,4,2018,2018-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42018,13.16,4,2018,2018-12-31
+AMAT,Applied Materials,Language Complexity,CQ42018,12.5,4,2018,2018-12-31
+ADSK,Autodesk,Language Complexity,CQ42018,11.86,4,2018,2018-12-31
+AVGO,Broadcom,Language Complexity,CQ42018,12.57,4,2018,2018-12-31
+CSCO,Cisco,Language Complexity,CQ42018,11.84,4,2018,2018-12-31
+CTSH,Cognizant,Language Complexity,CQ42018,13.71,4,2018,2018-12-31
+HPQ,HP Inc.,Language Complexity,CQ42018,12.15,4,2018,2018-12-31
+IBM,IBM,Language Complexity,CQ42018,13.21,4,2018,2018-12-31
+INTC,Intel,Language Complexity,CQ42018,11.73,4,2018,2018-12-31
+INTU,Intuit,Language Complexity,CQ42018,12.39,4,2018,2018-12-31
+LRCX,Lam Research,Language Complexity,CQ42018,11.87,4,2018,2018-12-31
+MU,Micron Technology,Language Complexity,CQ42018,14.18,4,2018,2018-12-31
+MSFT,Microsoft,Language Complexity,CQ42018,14.24,4,2018,2018-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42018,10.91,4,2018,2018-12-31
+NTAP,NetApp,Language Complexity,CQ42018,12.83,4,2018,2018-12-31
+NVDA,Nvidia,Language Complexity,CQ42018,11.46,4,2018,2018-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42018,12.14,4,2018,2018-12-31
+TXN,Texas Instruments,Language Complexity,CQ42018,10.15,4,2018,2018-12-31
+APD,Air Products,Language Complexity,CQ42018,11.79,4,2018,2018-12-31
+AVY,Avery Dennison,Language Complexity,CQ42018,12.13,4,2018,2018-12-31
+ECL,Ecolab,Language Complexity,CQ42018,10.56,4,2018,2018-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42018,13.15,4,2018,2018-12-31
+IP,International Paper,Language Complexity,CQ42018,12.63,4,2018,2018-12-31
+LIN,Linde plc,Language Complexity,CQ42018,,4,2018,2018-12-31
+NEM,Newmont,Language Complexity,CQ42018,12.42,4,2018,2018-12-31
+NUE,Nucor,Language Complexity,CQ42018,12.06,4,2018,2018-12-31
+AMT,American Tower,Language Complexity,CQ42018,13.58,4,2018,2018-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42018,11.72,4,2018,2018-12-31
+EQR,Equity Residential,Language Complexity,CQ42018,11.4,4,2018,2018-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42018,10.94,4,2018,2018-12-31
+IRM,Iron Mountain,Language Complexity,CQ42018,13.98,4,2018,2018-12-31
+PLD,Prologis,Language Complexity,CQ42018,10.97,4,2018,2018-12-31
+VTR,Ventas,Language Complexity,CQ42018,12.52,4,2018,2018-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42018,11.58,4,2018,2018-12-31
+AES,AES Corporation,Language Complexity,CQ42018,11.99,4,2018,2018-12-31
+AEE,Ameren,Language Complexity,CQ42018,14.2,4,2018,2018-12-31
+AEP,American Electric Power,Language Complexity,CQ42018,11.78,4,2018,2018-12-31
+CMS,CMS Energy,Language Complexity,CQ42018,13.35,4,2018,2018-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42018,13.37,4,2018,2018-12-31
+DUK,Duke Energy,Language Complexity,CQ42018,13.84,4,2018,2018-12-31
+EIX,Edison International,Language Complexity,CQ42018,13.7,4,2018,2018-12-31
+ETR,Entergy,Language Complexity,CQ42018,13.85,4,2018,2018-12-31
+EXC,Exelon,Language Complexity,CQ42018,12.59,4,2018,2018-12-31
+NEE,NextEra Energy,Language Complexity,CQ42018,14.57,4,2018,2018-12-31
+SO,Southern Company,Language Complexity,CQ42018,11.5,4,2018,2018-12-31
+XEL,Xcel Energy,Language Complexity,CQ42018,11.6,4,2018,2018-12-31
+T,AT&T,Net Positivity,CQ12019,1.35,1,2019,2019-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12019,1.95,1,2019,2019-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12019,,1,2019,2019-03-31
+META,Meta Platforms,Net Positivity,CQ12019,1.74,1,2019,2019-03-31
+NFLX,Netflix,Net Positivity,CQ12019,1.66,1,2019,2019-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12019,0.41,1,2019,2019-03-31
+OMC,Omnicom Group,Net Positivity,CQ12019,1.1,1,2019,2019-03-31
+VZ,Verizon,Net Positivity,CQ12019,1.44,1,2019,2019-03-31
+AMZN,Amazon,Net Positivity,CQ12019,1.48,1,2019,2019-03-31
+AZO,AutoZone,Net Positivity,CQ12019,1.24,1,2019,2019-03-31
+BBY,Best Buy,Net Positivity,CQ12019,1.57,1,2019,2019-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12019,0.99,1,2019,2019-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12019,1.99,1,2019,2019-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12019,2.26,1,2019,2019-03-31
+F,Ford Motor Company,Net Positivity,CQ12019,0.84,1,2019,2019-03-31
+GM,General Motors,Net Positivity,CQ12019,1.2,1,2019,2019-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12019,2.4,1,2019,2019-03-31
+HAS,Hasbro,Net Positivity,CQ12019,0.95,1,2019,2019-03-31
+LOW,Lowe's,Net Positivity,CQ12019,1.85,1,2019,2019-03-31
+MCD,McDonald's,Net Positivity,CQ12019,2.04,1,2019,2019-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12019,3.15,1,2019,2019-03-31
+ROST,Ross Stores,Net Positivity,CQ12019,0.5,1,2019,2019-03-31
+TJX,TJX Companies,Net Positivity,CQ12019,1.61,1,2019,2019-03-31
+TGT,Target,Net Positivity,CQ12019,1.86,1,2019,2019-03-31
+MO,Altria,Net Positivity,CQ12019,0.63,1,2019,2019-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12019,1.21,1,2019,2019-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12019,0.49,1,2019,2019-03-31
+CLX,Clorox,Net Positivity,CQ12019,2.03,1,2019,2019-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12019,1.44,1,2019,2019-03-31
+COST,Costco,Net Positivity,CQ12019,0.6,1,2019,2019-03-31
+GIS,General Mills,Net Positivity,CQ12019,1.96,1,2019,2019-03-31
+HSY,Hershey Company,Net Positivity,CQ12019,1.31,1,2019,2019-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12019,1.22,1,2019,2019-03-31
+KR,Kroger,Net Positivity,CQ12019,1.38,1,2019,2019-03-31
+MKC,McCormick & Company,Net Positivity,CQ12019,1.72,1,2019,2019-03-31
+PEP,PepsiCo,Net Positivity,CQ12019,2.66,1,2019,2019-03-31
+PG,Procter & Gamble,Net Positivity,CQ12019,1.36,1,2019,2019-03-31
+SYY,Sysco,Net Positivity,CQ12019,1.23,1,2019,2019-03-31
+WMT,Walmart,Net Positivity,CQ12019,2.06,1,2019,2019-03-31
+APA,APA Corporation,Net Positivity,CQ12019,0.79,1,2019,2019-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12019,,1,2019,2019-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12019,0.55,1,2019,2019-03-31
+EOG,EOG Resources,Net Positivity,CQ12019,2.17,1,2019,2019-03-31
+XOM,ExxonMobil,Net Positivity,CQ12019,1.12,1,2019,2019-03-31
+HAL,Halliburton,Net Positivity,CQ12019,1.18,1,2019,2019-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12019,1.51,1,2019,2019-03-31
+SLB,Schlumberger,Net Positivity,CQ12019,0.67,1,2019,2019-03-31
+VLO,Valero Energy,Net Positivity,CQ12019,0.5,1,2019,2019-03-31
+AFL,Aflac,Net Positivity,CQ12019,0.95,1,2019,2019-03-31
+ALL,Allstate,Net Positivity,CQ12019,0.6,1,2019,2019-03-31
+AXP,American Express,Net Positivity,CQ12019,1.05,1,2019,2019-03-31
+AIG,American International Group,Net Positivity,CQ12019,-0.11,1,2019,2019-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12019,1.02,1,2019,2019-03-31
+AON,Aon plc,Net Positivity,CQ12019,1.83,1,2019,2019-03-31
+BK,BNY Mellon,Net Positivity,CQ12019,0.18,1,2019,2019-03-31
+BAC,Bank of America,Net Positivity,CQ12019,0.72,1,2019,2019-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12019,,1,2019,2019-03-31
+BLK,BlackRock,Net Positivity,CQ12019,0.85,1,2019,2019-03-31
+CME,CME Group,Net Positivity,CQ12019,1.07,1,2019,2019-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12019,,1,2019,2019-03-31
+CB,Chubb Limited,Net Positivity,CQ12019,0.24,1,2019,2019-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12019,0.76,1,2019,2019-03-31
+C,Citigroup,Net Positivity,CQ12019,0.71,1,2019,2019-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12019,1.46,1,2019,2019-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12019,1.67,1,2019,2019-03-31
+FISV,Fiserv,Net Positivity,CQ12019,1.79,1,2019,2019-03-31
+GS,Goldman Sachs,Net Positivity,CQ12019,0.76,1,2019,2019-03-31
+HIG,Hartford Financial,Net Positivity,CQ12019,0.47,1,2019,2019-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12019,0.52,1,2019,2019-03-31
+IVZ,Invesco,Net Positivity,CQ12019,0.89,1,2019,2019-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12019,0.06,1,2019,2019-03-31
+KEY,KeyCorp,Net Positivity,CQ12019,1.08,1,2019,2019-03-31
+MA,Mastercard,Net Positivity,CQ12019,0.97,1,2019,2019-03-31
+MET,MetLife,Net Positivity,CQ12019,0.95,1,2019,2019-03-31
+MS,Morgan Stanley,Net Positivity,CQ12019,0.39,1,2019,2019-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12019,1.71,1,2019,2019-03-31
+NTRS,Northern Trust,Net Positivity,CQ12019,0.14,1,2019,2019-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12019,0.26,1,2019,2019-03-31
+PRU,Prudential Financial,Net Positivity,CQ12019,1.16,1,2019,2019-03-31
+RF,Regions Financial,Net Positivity,CQ12019,0.92,1,2019,2019-03-31
+SPGI,S&P Global,Net Positivity,CQ12019,0.72,1,2019,2019-03-31
+STT,State Street,Net Positivity,CQ12019,0.5,1,2019,2019-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12019,,1,2019,2019-03-31
+TRV,Travelers Companies,Net Positivity,CQ12019,0.69,1,2019,2019-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12019,0.59,1,2019,2019-03-31
+V,Visa,Net Positivity,CQ12019,0.01,1,2019,2019-03-31
+WFC,Wells Fargo,Net Positivity,CQ12019,0.39,1,2019,2019-03-31
+ABBV,AbbVie,Net Positivity,CQ12019,0.85,1,2019,2019-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12019,1.62,1,2019,2019-03-31
+A,Agilent Technologies,Net Positivity,CQ12019,1.41,1,2019,2019-03-31
+AMGN,Amgen,Net Positivity,CQ12019,1.33,1,2019,2019-03-31
+BAX,Baxter International,Net Positivity,CQ12019,1.12,1,2019,2019-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12019,1.06,1,2019,2019-03-31
+BIIB,Biogen,Net Positivity,CQ12019,1.2,1,2019,2019-03-31
+BSX,Boston Scientific,Net Positivity,CQ12019,1.46,1,2019,2019-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12019,2.05,1,2019,2019-03-31
+CVS,CVS Health,Net Positivity,CQ12019,1.52,1,2019,2019-03-31
+COR,Cencora,Net Positivity,CQ12019,,1,2019,2019-03-31
+CI,Cigna,Net Positivity,CQ12019,1.18,1,2019,2019-03-31
+DVA,DaVita,Net Positivity,CQ12019,0.2,1,2019,2019-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12019,1.69,1,2019,2019-03-31
+LLY,Eli Lilly,Net Positivity,CQ12019,1.42,1,2019,2019-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12019,1.15,1,2019,2019-03-31
+HUM,Humana,Net Positivity,CQ12019,1.03,1,2019,2019-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12019,0.95,1,2019,2019-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12019,2.1,1,2019,2019-03-31
+LH,Labcorp,Net Positivity,CQ12019,0.54,1,2019,2019-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12019,1.27,1,2019,2019-03-31
+MDT,Medtronic,Net Positivity,CQ12019,1.54,1,2019,2019-03-31
+MRK,Merck & Co.,Net Positivity,CQ12019,1.71,1,2019,2019-03-31
+PFE,Pfizer,Net Positivity,CQ12019,1.34,1,2019,2019-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12019,2.41,1,2019,2019-03-31
+WAT,Waters Corporation,Net Positivity,CQ12019,1.49,1,2019,2019-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12019,1.4,1,2019,2019-03-31
+MMM,3M,Net Positivity,CQ12019,0.35,1,2019,2019-03-31
+AME,Ametek,Net Positivity,CQ12019,1.89,1,2019,2019-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12019,1.46,1,2019,2019-03-31
+BA,Boeing,Net Positivity,CQ12019,1.83,1,2019,2019-03-31
+CSX,CSX Corporation,Net Positivity,CQ12019,1.84,1,2019,2019-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12019,0.47,1,2019,2019-03-31
+CTAS,Cintas,Net Positivity,CQ12019,0.29,1,2019,2019-03-31
+CMI,Cummins,Net Positivity,CQ12019,0.84,1,2019,2019-03-31
+DE,Deere & Company,Net Positivity,CQ12019,0.65,1,2019,2019-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12019,0.89,1,2019,2019-03-31
+EMR,Emerson Electric,Net Positivity,CQ12019,0.54,1,2019,2019-03-31
+EFX,Equifax,Net Positivity,CQ12019,0.61,1,2019,2019-03-31
+EXPD,Expeditors International,Net Positivity,CQ12019,,1,2019,2019-03-31
+FDX,FedEx,Net Positivity,CQ12019,1.3,1,2019,2019-03-31
+GE,GE Aerospace,Net Positivity,CQ12019,0.59,1,2019,2019-03-31
+GD,General Dynamics,Net Positivity,CQ12019,0.76,1,2019,2019-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12019,0.41,1,2019,2019-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12019,0.84,1,2019,2019-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12019,2.07,1,2019,2019-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12019,1.32,1,2019,2019-03-31
+PCAR,Paccar,Net Positivity,CQ12019,1.72,1,2019,2019-03-31
+RTX,RTX Corporation,Net Positivity,CQ12019,0.93,1,2019,2019-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12019,0.76,1,2019,2019-03-31
+ROP,Roper Technologies,Net Positivity,CQ12019,1.15,1,2019,2019-03-31
+SNA,Snap-on,Net Positivity,CQ12019,1.07,1,2019,2019-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12019,0.96,1,2019,2019-03-31
+UPS,United Parcel Service,Net Positivity,CQ12019,2.22,1,2019,2019-03-31
+WM,Waste Management,Net Positivity,CQ12019,1.46,1,2019,2019-03-31
+ACN,Accenture,Net Positivity,CQ12019,1.08,1,2019,2019-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12019,2.26,1,2019,2019-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12019,1.76,1,2019,2019-03-31
+APH,Amphenol,Net Positivity,CQ12019,1.59,1,2019,2019-03-31
+ADI,Analog Devices,Net Positivity,CQ12019,0.76,1,2019,2019-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12019,1.2,1,2019,2019-03-31
+AMAT,Applied Materials,Net Positivity,CQ12019,1.44,1,2019,2019-03-31
+ADSK,Autodesk,Net Positivity,CQ12019,1.05,1,2019,2019-03-31
+AVGO,Broadcom,Net Positivity,CQ12019,0.97,1,2019,2019-03-31
+CSCO,Cisco,Net Positivity,CQ12019,1.22,1,2019,2019-03-31
+CTSH,Cognizant,Net Positivity,CQ12019,1.18,1,2019,2019-03-31
+HPQ,HP Inc.,Net Positivity,CQ12019,0.85,1,2019,2019-03-31
+IBM,IBM,Net Positivity,CQ12019,1.32,1,2019,2019-03-31
+INTC,Intel,Net Positivity,CQ12019,1.21,1,2019,2019-03-31
+INTU,Intuit,Net Positivity,CQ12019,1.39,1,2019,2019-03-31
+LRCX,Lam Research,Net Positivity,CQ12019,0.39,1,2019,2019-03-31
+MU,Micron Technology,Net Positivity,CQ12019,0.91,1,2019,2019-03-31
+MSFT,Microsoft,Net Positivity,CQ12019,1.52,1,2019,2019-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12019,0.54,1,2019,2019-03-31
+NTAP,NetApp,Net Positivity,CQ12019,0.73,1,2019,2019-03-31
+NVDA,Nvidia,Net Positivity,CQ12019,1.12,1,2019,2019-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12019,0.63,1,2019,2019-03-31
+TXN,Texas Instruments,Net Positivity,CQ12019,-0.05,1,2019,2019-03-31
+APD,Air Products,Net Positivity,CQ12019,0.99,1,2019,2019-03-31
+AVY,Avery Dennison,Net Positivity,CQ12019,1.3,1,2019,2019-03-31
+ECL,Ecolab,Net Positivity,CQ12019,1.45,1,2019,2019-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12019,1.25,1,2019,2019-03-31
+IP,International Paper,Net Positivity,CQ12019,0.87,1,2019,2019-03-31
+LIN,Linde plc,Net Positivity,CQ12019,,1,2019,2019-03-31
+NEM,Newmont,Net Positivity,CQ12019,1.76,1,2019,2019-03-31
+NUE,Nucor,Net Positivity,CQ12019,1.9,1,2019,2019-03-31
+AMT,American Tower,Net Positivity,CQ12019,1.19,1,2019,2019-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12019,0.5,1,2019,2019-03-31
+EQR,Equity Residential,Net Positivity,CQ12019,0.55,1,2019,2019-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12019,1.13,1,2019,2019-03-31
+IRM,Iron Mountain,Net Positivity,CQ12019,1.35,1,2019,2019-03-31
+PLD,Prologis,Net Positivity,CQ12019,0.13,1,2019,2019-03-31
+VTR,Ventas,Net Positivity,CQ12019,2.1,1,2019,2019-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12019,0.74,1,2019,2019-03-31
+AES,AES Corporation,Net Positivity,CQ12019,1.31,1,2019,2019-03-31
+AEE,Ameren,Net Positivity,CQ12019,1.72,1,2019,2019-03-31
+AEP,American Electric Power,Net Positivity,CQ12019,0.82,1,2019,2019-03-31
+CMS,CMS Energy,Net Positivity,CQ12019,0.82,1,2019,2019-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12019,1.1,1,2019,2019-03-31
+DUK,Duke Energy,Net Positivity,CQ12019,0.92,1,2019,2019-03-31
+EIX,Edison International,Net Positivity,CQ12019,-0.75,1,2019,2019-03-31
+ETR,Entergy,Net Positivity,CQ12019,1.21,1,2019,2019-03-31
+EXC,Exelon,Net Positivity,CQ12019,0.98,1,2019,2019-03-31
+NEE,NextEra Energy,Net Positivity,CQ12019,1.01,1,2019,2019-03-31
+SO,Southern Company,Net Positivity,CQ12019,1.16,1,2019,2019-03-31
+XEL,Xcel Energy,Net Positivity,CQ12019,1.56,1,2019,2019-03-31
+T,AT&T,Numeric Transeprency,CQ12019,2.3,1,2019,2019-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12019,2.1,1,2019,2019-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12019,,1,2019,2019-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12019,1.42,1,2019,2019-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12019,1.13,1,2019,2019-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12019,3.33,1,2019,2019-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12019,4.08,1,2019,2019-03-31
+VZ,Verizon,Numeric Transeprency,CQ12019,3.3,1,2019,2019-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12019,1.76,1,2019,2019-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12019,2.2,1,2019,2019-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12019,2.55,1,2019,2019-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12019,1.74,1,2019,2019-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12019,2.61,1,2019,2019-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12019,1.79,1,2019,2019-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12019,2.02,1,2019,2019-03-31
+GM,General Motors,Numeric Transeprency,CQ12019,2.72,1,2019,2019-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12019,4.6,1,2019,2019-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12019,2.17,1,2019,2019-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12019,1.75,1,2019,2019-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12019,2.83,1,2019,2019-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12019,1.36,1,2019,2019-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12019,4.17,1,2019,2019-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12019,2.97,1,2019,2019-03-31
+TGT,Target,Numeric Transeprency,CQ12019,1.52,1,2019,2019-03-31
+MO,Altria,Numeric Transeprency,CQ12019,2.44,1,2019,2019-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12019,3.63,1,2019,2019-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12019,2.09,1,2019,2019-03-31
+CLX,Clorox,Numeric Transeprency,CQ12019,1.35,1,2019,2019-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12019,1.88,1,2019,2019-03-31
+COST,Costco,Numeric Transeprency,CQ12019,3.84,1,2019,2019-03-31
+GIS,General Mills,Numeric Transeprency,CQ12019,1.8,1,2019,2019-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12019,2.72,1,2019,2019-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12019,2.28,1,2019,2019-03-31
+KR,Kroger,Numeric Transeprency,CQ12019,2.9,1,2019,2019-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12019,2.2,1,2019,2019-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12019,1.5,1,2019,2019-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12019,1.63,1,2019,2019-03-31
+SYY,Sysco,Numeric Transeprency,CQ12019,1.14,1,2019,2019-03-31
+WMT,Walmart,Numeric Transeprency,CQ12019,1.36,1,2019,2019-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12019,3.68,1,2019,2019-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12019,,1,2019,2019-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12019,2.7,1,2019,2019-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12019,3.01,1,2019,2019-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12019,1.82,1,2019,2019-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12019,2.07,1,2019,2019-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12019,3.36,1,2019,2019-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12019,2.39,1,2019,2019-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12019,2.77,1,2019,2019-03-31
+AFL,Aflac,Numeric Transeprency,CQ12019,2.12,1,2019,2019-03-31
+ALL,Allstate,Numeric Transeprency,CQ12019,2.5,1,2019,2019-03-31
+AXP,American Express,Numeric Transeprency,CQ12019,2.32,1,2019,2019-03-31
+AIG,American International Group,Numeric Transeprency,CQ12019,3.04,1,2019,2019-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12019,2.16,1,2019,2019-03-31
+AON,Aon plc,Numeric Transeprency,CQ12019,2.06,1,2019,2019-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12019,2.67,1,2019,2019-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12019,3.69,1,2019,2019-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12019,,1,2019,2019-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12019,2.42,1,2019,2019-03-31
+CME,CME Group,Numeric Transeprency,CQ12019,2.2,1,2019,2019-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12019,,1,2019,2019-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12019,2.8,1,2019,2019-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12019,2.74,1,2019,2019-03-31
+C,Citigroup,Numeric Transeprency,CQ12019,3.3,1,2019,2019-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12019,3.35,1,2019,2019-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12019,3.25,1,2019,2019-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12019,2.7,1,2019,2019-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12019,2.3,1,2019,2019-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12019,3.21,1,2019,2019-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12019,2.9,1,2019,2019-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12019,1.89,1,2019,2019-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12019,2.19,1,2019,2019-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12019,2.7,1,2019,2019-03-31
+MA,Mastercard,Numeric Transeprency,CQ12019,2.36,1,2019,2019-03-31
+MET,MetLife,Numeric Transeprency,CQ12019,3.97,1,2019,2019-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12019,1.94,1,2019,2019-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12019,2.75,1,2019,2019-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12019,2.36,1,2019,2019-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12019,3.76,1,2019,2019-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12019,1.94,1,2019,2019-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12019,2.52,1,2019,2019-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12019,3.04,1,2019,2019-03-31
+STT,State Street,Numeric Transeprency,CQ12019,2.26,1,2019,2019-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12019,,1,2019,2019-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12019,3.16,1,2019,2019-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12019,1.81,1,2019,2019-03-31
+V,Visa,Numeric Transeprency,CQ12019,2.01,1,2019,2019-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12019,2.42,1,2019,2019-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12019,2.89,1,2019,2019-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12019,2.02,1,2019,2019-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12019,1.67,1,2019,2019-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12019,3.23,1,2019,2019-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12019,3.45,1,2019,2019-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12019,2.18,1,2019,2019-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12019,4.0,1,2019,2019-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12019,6.09,1,2019,2019-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12019,1.89,1,2019,2019-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12019,2.47,1,2019,2019-03-31
+COR,Cencora,Numeric Transeprency,CQ12019,,1,2019,2019-03-31
+CI,Cigna,Numeric Transeprency,CQ12019,3.87,1,2019,2019-03-31
+DVA,DaVita,Numeric Transeprency,CQ12019,2.38,1,2019,2019-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12019,1.59,1,2019,2019-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12019,2.97,1,2019,2019-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12019,2.76,1,2019,2019-03-31
+HUM,Humana,Numeric Transeprency,CQ12019,2.47,1,2019,2019-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12019,3.8,1,2019,2019-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12019,3.53,1,2019,2019-03-31
+LH,Labcorp,Numeric Transeprency,CQ12019,3.39,1,2019,2019-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12019,2.0,1,2019,2019-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12019,2.27,1,2019,2019-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12019,1.34,1,2019,2019-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12019,3.3,1,2019,2019-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12019,3.73,1,2019,2019-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12019,2.85,1,2019,2019-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12019,1.99,1,2019,2019-03-31
+MMM,3M,Numeric Transeprency,CQ12019,3.85,1,2019,2019-03-31
+AME,Ametek,Numeric Transeprency,CQ12019,3.95,1,2019,2019-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12019,1.56,1,2019,2019-03-31
+BA,Boeing,Numeric Transeprency,CQ12019,3.15,1,2019,2019-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12019,2.49,1,2019,2019-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12019,3.57,1,2019,2019-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12019,3.03,1,2019,2019-03-31
+CMI,Cummins,Numeric Transeprency,CQ12019,4.75,1,2019,2019-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12019,2.74,1,2019,2019-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12019,3.01,1,2019,2019-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12019,2.49,1,2019,2019-03-31
+EFX,Equifax,Numeric Transeprency,CQ12019,3.22,1,2019,2019-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12019,,1,2019,2019-03-31
+FDX,FedEx,Numeric Transeprency,CQ12019,1.67,1,2019,2019-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12019,3.2,1,2019,2019-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12019,4.9,1,2019,2019-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12019,3.84,1,2019,2019-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12019,3.32,1,2019,2019-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12019,2.49,1,2019,2019-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12019,4.35,1,2019,2019-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12019,3.46,1,2019,2019-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12019,4.34,1,2019,2019-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12019,2.25,1,2019,2019-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12019,2.76,1,2019,2019-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12019,3.81,1,2019,2019-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12019,3.31,1,2019,2019-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12019,2.63,1,2019,2019-03-31
+WM,Waste Management,Numeric Transeprency,CQ12019,3.09,1,2019,2019-03-31
+ACN,Accenture,Numeric Transeprency,CQ12019,2.24,1,2019,2019-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12019,2.67,1,2019,2019-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12019,3.34,1,2019,2019-03-31
+APH,Amphenol,Numeric Transeprency,CQ12019,2.81,1,2019,2019-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12019,1.64,1,2019,2019-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12019,2.62,1,2019,2019-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12019,2.58,1,2019,2019-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12019,1.92,1,2019,2019-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12019,2.23,1,2019,2019-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12019,1.96,1,2019,2019-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12019,2.74,1,2019,2019-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12019,2.07,1,2019,2019-03-31
+IBM,IBM,Numeric Transeprency,CQ12019,2.6,1,2019,2019-03-31
+INTC,Intel,Numeric Transeprency,CQ12019,3.32,1,2019,2019-03-31
+INTU,Intuit,Numeric Transeprency,CQ12019,1.46,1,2019,2019-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12019,2.17,1,2019,2019-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12019,2.19,1,2019,2019-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12019,2.4,1,2019,2019-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12019,4.7,1,2019,2019-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12019,1.79,1,2019,2019-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12019,1.73,1,2019,2019-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12019,2.6,1,2019,2019-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12019,2.95,1,2019,2019-03-31
+APD,Air Products,Numeric Transeprency,CQ12019,2.83,1,2019,2019-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12019,2.97,1,2019,2019-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12019,1.34,1,2019,2019-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12019,3.84,1,2019,2019-03-31
+IP,International Paper,Numeric Transeprency,CQ12019,2.01,1,2019,2019-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12019,,1,2019,2019-03-31
+NEM,Newmont,Numeric Transeprency,CQ12019,3.59,1,2019,2019-03-31
+NUE,Nucor,Numeric Transeprency,CQ12019,2.92,1,2019,2019-03-31
+AMT,American Tower,Numeric Transeprency,CQ12019,4.17,1,2019,2019-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12019,2.92,1,2019,2019-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12019,3.0,1,2019,2019-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12019,3.72,1,2019,2019-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12019,3.57,1,2019,2019-03-31
+PLD,Prologis,Numeric Transeprency,CQ12019,2.73,1,2019,2019-03-31
+VTR,Ventas,Numeric Transeprency,CQ12019,3.65,1,2019,2019-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12019,2.96,1,2019,2019-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12019,3.74,1,2019,2019-03-31
+AEE,Ameren,Numeric Transeprency,CQ12019,4.01,1,2019,2019-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12019,3.58,1,2019,2019-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12019,2.96,1,2019,2019-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12019,4.53,1,2019,2019-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12019,2.94,1,2019,2019-03-31
+EIX,Edison International,Numeric Transeprency,CQ12019,2.41,1,2019,2019-03-31
+ETR,Entergy,Numeric Transeprency,CQ12019,2.57,1,2019,2019-03-31
+EXC,Exelon,Numeric Transeprency,CQ12019,3.43,1,2019,2019-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12019,3.89,1,2019,2019-03-31
+SO,Southern Company,Numeric Transeprency,CQ12019,2.56,1,2019,2019-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12019,2.51,1,2019,2019-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12019,26.92,1,2019,2019-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12019,28.95,1,2019,2019-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12019,,1,2019,2019-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12019,18.6,1,2019,2019-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12019,2.7,1,2019,2019-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12019,18.18,1,2019,2019-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12019,35.71,1,2019,2019-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12019,29.63,1,2019,2019-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12019,23.26,1,2019,2019-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12019,27.27,1,2019,2019-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12019,39.13,1,2019,2019-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12019,41.94,1,2019,2019-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12019,26.47,1,2019,2019-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12019,55.56,1,2019,2019-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12019,22.22,1,2019,2019-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12019,57.89,1,2019,2019-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12019,50.0,1,2019,2019-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12019,68.75,1,2019,2019-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12019,24.24,1,2019,2019-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12019,32.26,1,2019,2019-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12019,14.71,1,2019,2019-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12019,52.17,1,2019,2019-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12019,36.0,1,2019,2019-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12019,38.46,1,2019,2019-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12019,60.0,1,2019,2019-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12019,61.54,1,2019,2019-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12019,33.33,1,2019,2019-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12019,61.11,1,2019,2019-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12019,52.17,1,2019,2019-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12019,29.63,1,2019,2019-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12019,42.11,1,2019,2019-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12019,61.11,1,2019,2019-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12019,72.22,1,2019,2019-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12019,24.0,1,2019,2019-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12019,66.67,1,2019,2019-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12019,54.55,1,2019,2019-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12019,68.0,1,2019,2019-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12019,66.67,1,2019,2019-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12019,39.39,1,2019,2019-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12019,40.0,1,2019,2019-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12019,,1,2019,2019-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12019,16.67,1,2019,2019-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12019,22.58,1,2019,2019-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12019,57.14,1,2019,2019-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12019,21.21,1,2019,2019-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12019,47.62,1,2019,2019-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12019,23.53,1,2019,2019-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12019,57.89,1,2019,2019-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12019,40.0,1,2019,2019-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12019,26.32,1,2019,2019-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12019,41.38,1,2019,2019-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12019,35.0,1,2019,2019-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12019,58.33,1,2019,2019-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12019,45.0,1,2019,2019-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12019,30.0,1,2019,2019-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12019,30.77,1,2019,2019-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12019,,1,2019,2019-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12019,33.33,1,2019,2019-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12019,61.54,1,2019,2019-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12019,,1,2019,2019-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12019,42.86,1,2019,2019-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12019,62.5,1,2019,2019-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12019,53.85,1,2019,2019-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12019,42.11,1,2019,2019-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12019,43.48,1,2019,2019-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12019,12.5,1,2019,2019-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12019,40.74,1,2019,2019-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12019,52.63,1,2019,2019-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12019,52.94,1,2019,2019-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12019,73.33,1,2019,2019-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12019,51.85,1,2019,2019-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12019,45.83,1,2019,2019-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12019,16.22,1,2019,2019-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12019,36.84,1,2019,2019-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12019,39.29,1,2019,2019-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12019,68.75,1,2019,2019-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12019,60.0,1,2019,2019-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12019,30.43,1,2019,2019-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12019,27.78,1,2019,2019-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12019,32.0,1,2019,2019-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12019,71.43,1,2019,2019-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12019,61.9,1,2019,2019-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12019,,1,2019,2019-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12019,40.91,1,2019,2019-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12019,32.0,1,2019,2019-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12019,22.86,1,2019,2019-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12019,40.74,1,2019,2019-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12019,47.06,1,2019,2019-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12019,25.0,1,2019,2019-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12019,75.0,1,2019,2019-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12019,65.0,1,2019,2019-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12019,37.5,1,2019,2019-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12019,66.67,1,2019,2019-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12019,34.48,1,2019,2019-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12019,40.91,1,2019,2019-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12019,64.29,1,2019,2019-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12019,42.11,1,2019,2019-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12019,,1,2019,2019-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12019,71.43,1,2019,2019-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12019,54.55,1,2019,2019-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12019,35.29,1,2019,2019-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12019,53.33,1,2019,2019-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12019,52.0,1,2019,2019-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12019,52.38,1,2019,2019-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12019,40.0,1,2019,2019-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12019,38.89,1,2019,2019-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12019,70.0,1,2019,2019-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12019,43.75,1,2019,2019-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12019,40.74,1,2019,2019-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12019,76.92,1,2019,2019-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12019,69.23,1,2019,2019-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12019,41.18,1,2019,2019-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12019,52.94,1,2019,2019-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12019,46.67,1,2019,2019-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12019,71.43,1,2019,2019-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12019,66.67,1,2019,2019-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12019,47.06,1,2019,2019-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12019,45.0,1,2019,2019-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12019,59.26,1,2019,2019-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12019,35.71,1,2019,2019-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12019,56.25,1,2019,2019-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12019,18.52,1,2019,2019-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12019,55.0,1,2019,2019-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12019,47.83,1,2019,2019-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12019,54.55,1,2019,2019-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12019,61.11,1,2019,2019-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12019,,1,2019,2019-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12019,32.14,1,2019,2019-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12019,60.0,1,2019,2019-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12019,33.33,1,2019,2019-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12019,61.9,1,2019,2019-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12019,31.58,1,2019,2019-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12019,51.85,1,2019,2019-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12019,44.44,1,2019,2019-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12019,48.0,1,2019,2019-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12019,47.06,1,2019,2019-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12019,39.13,1,2019,2019-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12019,50.0,1,2019,2019-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12019,44.44,1,2019,2019-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12019,52.63,1,2019,2019-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12019,18.52,1,2019,2019-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12019,63.64,1,2019,2019-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12019,19.23,1,2019,2019-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12019,42.86,1,2019,2019-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12019,47.83,1,2019,2019-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12019,78.57,1,2019,2019-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12019,36.36,1,2019,2019-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12019,12.5,1,2019,2019-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12019,45.45,1,2019,2019-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12019,50.0,1,2019,2019-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12019,30.3,1,2019,2019-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12019,35.71,1,2019,2019-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12019,13.64,1,2019,2019-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12019,50.0,1,2019,2019-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12019,45.0,1,2019,2019-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12019,23.68,1,2019,2019-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12019,80.95,1,2019,2019-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12019,54.55,1,2019,2019-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12019,26.67,1,2019,2019-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12019,29.03,1,2019,2019-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12019,66.67,1,2019,2019-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12019,76.0,1,2019,2019-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12019,31.43,1,2019,2019-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12019,21.88,1,2019,2019-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12019,21.88,1,2019,2019-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12019,84.21,1,2019,2019-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12019,81.82,1,2019,2019-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12019,47.83,1,2019,2019-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12019,53.85,1,2019,2019-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12019,62.5,1,2019,2019-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12019,,1,2019,2019-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12019,25.0,1,2019,2019-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12019,35.29,1,2019,2019-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12019,40.0,1,2019,2019-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12019,33.33,1,2019,2019-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12019,37.5,1,2019,2019-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12019,42.86,1,2019,2019-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12019,55.56,1,2019,2019-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12019,50.0,1,2019,2019-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12019,14.29,1,2019,2019-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12019,58.33,1,2019,2019-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12019,63.64,1,2019,2019-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12019,27.27,1,2019,2019-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12019,36.84,1,2019,2019-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12019,50.0,1,2019,2019-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12019,85.71,1,2019,2019-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12019,42.11,1,2019,2019-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12019,29.41,1,2019,2019-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12019,50.0,1,2019,2019-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12019,35.0,1,2019,2019-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12019,33.33,1,2019,2019-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12019,40.0,1,2019,2019-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12019,46.67,1,2019,2019-03-31
+T,AT&T,Language Complexity,CQ12019,11.45,1,2019,2019-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12019,12.91,1,2019,2019-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12019,,1,2019,2019-03-31
+META,Meta Platforms,Language Complexity,CQ12019,12.64,1,2019,2019-03-31
+NFLX,Netflix,Language Complexity,CQ12019,11.44,1,2019,2019-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12019,14.39,1,2019,2019-03-31
+OMC,Omnicom Group,Language Complexity,CQ12019,14.31,1,2019,2019-03-31
+VZ,Verizon,Language Complexity,CQ12019,12.19,1,2019,2019-03-31
+AMZN,Amazon,Language Complexity,CQ12019,12.39,1,2019,2019-03-31
+AZO,AutoZone,Language Complexity,CQ12019,12.27,1,2019,2019-03-31
+BBY,Best Buy,Language Complexity,CQ12019,14.51,1,2019,2019-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12019,11.97,1,2019,2019-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12019,13.06,1,2019,2019-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12019,12.35,1,2019,2019-03-31
+F,Ford Motor Company,Language Complexity,CQ12019,11.46,1,2019,2019-03-31
+GM,General Motors,Language Complexity,CQ12019,11.34,1,2019,2019-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12019,13.8,1,2019,2019-03-31
+HAS,Hasbro,Language Complexity,CQ12019,11.81,1,2019,2019-03-31
+LOW,Lowe's,Language Complexity,CQ12019,13.34,1,2019,2019-03-31
+MCD,McDonald's,Language Complexity,CQ12019,13.47,1,2019,2019-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12019,13.78,1,2019,2019-03-31
+ROST,Ross Stores,Language Complexity,CQ12019,10.51,1,2019,2019-03-31
+TJX,TJX Companies,Language Complexity,CQ12019,11.74,1,2019,2019-03-31
+TGT,Target,Language Complexity,CQ12019,11.93,1,2019,2019-03-31
+MO,Altria,Language Complexity,CQ12019,13.73,1,2019,2019-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12019,12.99,1,2019,2019-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12019,11.63,1,2019,2019-03-31
+CLX,Clorox,Language Complexity,CQ12019,11.62,1,2019,2019-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12019,12.73,1,2019,2019-03-31
+COST,Costco,Language Complexity,CQ12019,10.14,1,2019,2019-03-31
+GIS,General Mills,Language Complexity,CQ12019,12.68,1,2019,2019-03-31
+HSY,Hershey Company,Language Complexity,CQ12019,12.44,1,2019,2019-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12019,11.07,1,2019,2019-03-31
+KR,Kroger,Language Complexity,CQ12019,12.19,1,2019,2019-03-31
+MKC,McCormick & Company,Language Complexity,CQ12019,13.24,1,2019,2019-03-31
+PEP,PepsiCo,Language Complexity,CQ12019,14.67,1,2019,2019-03-31
+PG,Procter & Gamble,Language Complexity,CQ12019,12.94,1,2019,2019-03-31
+SYY,Sysco,Language Complexity,CQ12019,12.23,1,2019,2019-03-31
+WMT,Walmart,Language Complexity,CQ12019,12.19,1,2019,2019-03-31
+APA,APA Corporation,Language Complexity,CQ12019,13.27,1,2019,2019-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12019,,1,2019,2019-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12019,13.35,1,2019,2019-03-31
+EOG,EOG Resources,Language Complexity,CQ12019,13.53,1,2019,2019-03-31
+XOM,ExxonMobil,Language Complexity,CQ12019,13.4,1,2019,2019-03-31
+HAL,Halliburton,Language Complexity,CQ12019,13.75,1,2019,2019-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12019,13.24,1,2019,2019-03-31
+SLB,Schlumberger,Language Complexity,CQ12019,13.41,1,2019,2019-03-31
+VLO,Valero Energy,Language Complexity,CQ12019,11.34,1,2019,2019-03-31
+AFL,Aflac,Language Complexity,CQ12019,13.48,1,2019,2019-03-31
+ALL,Allstate,Language Complexity,CQ12019,12.28,1,2019,2019-03-31
+AXP,American Express,Language Complexity,CQ12019,13.36,1,2019,2019-03-31
+AIG,American International Group,Language Complexity,CQ12019,14.18,1,2019,2019-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12019,12.23,1,2019,2019-03-31
+AON,Aon plc,Language Complexity,CQ12019,13.12,1,2019,2019-03-31
+BK,BNY Mellon,Language Complexity,CQ12019,12.4,1,2019,2019-03-31
+BAC,Bank of America,Language Complexity,CQ12019,11.26,1,2019,2019-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12019,,1,2019,2019-03-31
+BLK,BlackRock,Language Complexity,CQ12019,16.11,1,2019,2019-03-31
+CME,CME Group,Language Complexity,CQ12019,10.58,1,2019,2019-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12019,,1,2019,2019-03-31
+CB,Chubb Limited,Language Complexity,CQ12019,11.37,1,2019,2019-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12019,11.69,1,2019,2019-03-31
+C,Citigroup,Language Complexity,CQ12019,12.14,1,2019,2019-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12019,12.58,1,2019,2019-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12019,13.24,1,2019,2019-03-31
+FISV,Fiserv,Language Complexity,CQ12019,12.79,1,2019,2019-03-31
+GS,Goldman Sachs,Language Complexity,CQ12019,13.61,1,2019,2019-03-31
+HIG,Hartford Financial,Language Complexity,CQ12019,12.55,1,2019,2019-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12019,13.27,1,2019,2019-03-31
+IVZ,Invesco,Language Complexity,CQ12019,11.85,1,2019,2019-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12019,10.69,1,2019,2019-03-31
+KEY,KeyCorp,Language Complexity,CQ12019,12.51,1,2019,2019-03-31
+MA,Mastercard,Language Complexity,CQ12019,12.75,1,2019,2019-03-31
+MET,MetLife,Language Complexity,CQ12019,12.05,1,2019,2019-03-31
+MS,Morgan Stanley,Language Complexity,CQ12019,11.31,1,2019,2019-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12019,15.32,1,2019,2019-03-31
+NTRS,Northern Trust,Language Complexity,CQ12019,12.3,1,2019,2019-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12019,11.63,1,2019,2019-03-31
+PRU,Prudential Financial,Language Complexity,CQ12019,14.88,1,2019,2019-03-31
+RF,Regions Financial,Language Complexity,CQ12019,12.55,1,2019,2019-03-31
+SPGI,S&P Global,Language Complexity,CQ12019,12.45,1,2019,2019-03-31
+STT,State Street,Language Complexity,CQ12019,12.69,1,2019,2019-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12019,,1,2019,2019-03-31
+TRV,Travelers Companies,Language Complexity,CQ12019,13.91,1,2019,2019-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12019,12.26,1,2019,2019-03-31
+V,Visa,Language Complexity,CQ12019,12.65,1,2019,2019-03-31
+WFC,Wells Fargo,Language Complexity,CQ12019,13.72,1,2019,2019-03-31
+ABBV,AbbVie,Language Complexity,CQ12019,12.92,1,2019,2019-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12019,11.34,1,2019,2019-03-31
+A,Agilent Technologies,Language Complexity,CQ12019,11.15,1,2019,2019-03-31
+AMGN,Amgen,Language Complexity,CQ12019,13.39,1,2019,2019-03-31
+BAX,Baxter International,Language Complexity,CQ12019,11.54,1,2019,2019-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12019,12.09,1,2019,2019-03-31
+BIIB,Biogen,Language Complexity,CQ12019,14.18,1,2019,2019-03-31
+BSX,Boston Scientific,Language Complexity,CQ12019,13.67,1,2019,2019-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12019,12.49,1,2019,2019-03-31
+CVS,CVS Health,Language Complexity,CQ12019,13.37,1,2019,2019-03-31
+COR,Cencora,Language Complexity,CQ12019,,1,2019,2019-03-31
+CI,Cigna,Language Complexity,CQ12019,15.06,1,2019,2019-03-31
+DVA,DaVita,Language Complexity,CQ12019,10.44,1,2019,2019-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12019,12.93,1,2019,2019-03-31
+LLY,Eli Lilly,Language Complexity,CQ12019,12.7,1,2019,2019-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12019,12.53,1,2019,2019-03-31
+HUM,Humana,Language Complexity,CQ12019,13.73,1,2019,2019-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12019,13.83,1,2019,2019-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12019,14.75,1,2019,2019-03-31
+LH,Labcorp,Language Complexity,CQ12019,13.79,1,2019,2019-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12019,14.14,1,2019,2019-03-31
+MDT,Medtronic,Language Complexity,CQ12019,12.8,1,2019,2019-03-31
+MRK,Merck & Co.,Language Complexity,CQ12019,12.91,1,2019,2019-03-31
+PFE,Pfizer,Language Complexity,CQ12019,13.28,1,2019,2019-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12019,12.89,1,2019,2019-03-31
+WAT,Waters Corporation,Language Complexity,CQ12019,13.1,1,2019,2019-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12019,11.18,1,2019,2019-03-31
+MMM,3M,Language Complexity,CQ12019,10.93,1,2019,2019-03-31
+AME,Ametek,Language Complexity,CQ12019,11.21,1,2019,2019-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12019,13.1,1,2019,2019-03-31
+BA,Boeing,Language Complexity,CQ12019,12.73,1,2019,2019-03-31
+CSX,CSX Corporation,Language Complexity,CQ12019,11.28,1,2019,2019-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12019,12.11,1,2019,2019-03-31
+CTAS,Cintas,Language Complexity,CQ12019,11.79,1,2019,2019-03-31
+CMI,Cummins,Language Complexity,CQ12019,11.24,1,2019,2019-03-31
+DE,Deere & Company,Language Complexity,CQ12019,11.93,1,2019,2019-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12019,11.34,1,2019,2019-03-31
+EMR,Emerson Electric,Language Complexity,CQ12019,9.84,1,2019,2019-03-31
+EFX,Equifax,Language Complexity,CQ12019,12.57,1,2019,2019-03-31
+EXPD,Expeditors International,Language Complexity,CQ12019,,1,2019,2019-03-31
+FDX,FedEx,Language Complexity,CQ12019,13.19,1,2019,2019-03-31
+GE,GE Aerospace,Language Complexity,CQ12019,11.69,1,2019,2019-03-31
+GD,General Dynamics,Language Complexity,CQ12019,11.58,1,2019,2019-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12019,11.85,1,2019,2019-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12019,13.08,1,2019,2019-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12019,11.01,1,2019,2019-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12019,13.07,1,2019,2019-03-31
+PCAR,Paccar,Language Complexity,CQ12019,10.95,1,2019,2019-03-31
+RTX,RTX Corporation,Language Complexity,CQ12019,10.71,1,2019,2019-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12019,10.14,1,2019,2019-03-31
+ROP,Roper Technologies,Language Complexity,CQ12019,11.55,1,2019,2019-03-31
+SNA,Snap-on,Language Complexity,CQ12019,12.47,1,2019,2019-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12019,13.36,1,2019,2019-03-31
+UPS,United Parcel Service,Language Complexity,CQ12019,11.96,1,2019,2019-03-31
+WM,Waste Management,Language Complexity,CQ12019,12.25,1,2019,2019-03-31
+ACN,Accenture,Language Complexity,CQ12019,13.66,1,2019,2019-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12019,14.27,1,2019,2019-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12019,12.38,1,2019,2019-03-31
+APH,Amphenol,Language Complexity,CQ12019,13.8,1,2019,2019-03-31
+ADI,Analog Devices,Language Complexity,CQ12019,11.76,1,2019,2019-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12019,12.72,1,2019,2019-03-31
+AMAT,Applied Materials,Language Complexity,CQ12019,12.4,1,2019,2019-03-31
+ADSK,Autodesk,Language Complexity,CQ12019,12.7,1,2019,2019-03-31
+AVGO,Broadcom,Language Complexity,CQ12019,11.43,1,2019,2019-03-31
+CSCO,Cisco,Language Complexity,CQ12019,12.16,1,2019,2019-03-31
+CTSH,Cognizant,Language Complexity,CQ12019,13.46,1,2019,2019-03-31
+HPQ,HP Inc.,Language Complexity,CQ12019,12.79,1,2019,2019-03-31
+IBM,IBM,Language Complexity,CQ12019,13.15,1,2019,2019-03-31
+INTC,Intel,Language Complexity,CQ12019,12.95,1,2019,2019-03-31
+INTU,Intuit,Language Complexity,CQ12019,10.59,1,2019,2019-03-31
+LRCX,Lam Research,Language Complexity,CQ12019,11.49,1,2019,2019-03-31
+MU,Micron Technology,Language Complexity,CQ12019,13.63,1,2019,2019-03-31
+MSFT,Microsoft,Language Complexity,CQ12019,14.29,1,2019,2019-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12019,11.78,1,2019,2019-03-31
+NTAP,NetApp,Language Complexity,CQ12019,11.76,1,2019,2019-03-31
+NVDA,Nvidia,Language Complexity,CQ12019,10.82,1,2019,2019-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12019,12.17,1,2019,2019-03-31
+TXN,Texas Instruments,Language Complexity,CQ12019,11.27,1,2019,2019-03-31
+APD,Air Products,Language Complexity,CQ12019,11.31,1,2019,2019-03-31
+AVY,Avery Dennison,Language Complexity,CQ12019,13.47,1,2019,2019-03-31
+ECL,Ecolab,Language Complexity,CQ12019,11.23,1,2019,2019-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12019,13.36,1,2019,2019-03-31
+IP,International Paper,Language Complexity,CQ12019,10.99,1,2019,2019-03-31
+LIN,Linde plc,Language Complexity,CQ12019,,1,2019,2019-03-31
+NEM,Newmont,Language Complexity,CQ12019,13.31,1,2019,2019-03-31
+NUE,Nucor,Language Complexity,CQ12019,12.02,1,2019,2019-03-31
+AMT,American Tower,Language Complexity,CQ12019,14.76,1,2019,2019-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12019,11.93,1,2019,2019-03-31
+EQR,Equity Residential,Language Complexity,CQ12019,12.01,1,2019,2019-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12019,12.37,1,2019,2019-03-31
+IRM,Iron Mountain,Language Complexity,CQ12019,13.48,1,2019,2019-03-31
+PLD,Prologis,Language Complexity,CQ12019,10.29,1,2019,2019-03-31
+VTR,Ventas,Language Complexity,CQ12019,11.34,1,2019,2019-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12019,11.83,1,2019,2019-03-31
+AES,AES Corporation,Language Complexity,CQ12019,11.88,1,2019,2019-03-31
+AEE,Ameren,Language Complexity,CQ12019,15.16,1,2019,2019-03-31
+AEP,American Electric Power,Language Complexity,CQ12019,12.27,1,2019,2019-03-31
+CMS,CMS Energy,Language Complexity,CQ12019,13.71,1,2019,2019-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12019,12.43,1,2019,2019-03-31
+DUK,Duke Energy,Language Complexity,CQ12019,12.98,1,2019,2019-03-31
+EIX,Edison International,Language Complexity,CQ12019,15.81,1,2019,2019-03-31
+ETR,Entergy,Language Complexity,CQ12019,13.25,1,2019,2019-03-31
+EXC,Exelon,Language Complexity,CQ12019,12.31,1,2019,2019-03-31
+NEE,NextEra Energy,Language Complexity,CQ12019,15.82,1,2019,2019-03-31
+SO,Southern Company,Language Complexity,CQ12019,11.25,1,2019,2019-03-31
+XEL,Xcel Energy,Language Complexity,CQ12019,11.42,1,2019,2019-03-31
+T,AT&T,Net Positivity,CQ22019,1.42,2,2019,2019-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22019,1.66,2,2019,2019-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22019,,2,2019,2019-06-30
+META,Meta Platforms,Net Positivity,CQ22019,0.93,2,2019,2019-06-30
+NFLX,Netflix,Net Positivity,CQ22019,1.86,2,2019,2019-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22019,0.82,2,2019,2019-06-30
+OMC,Omnicom Group,Net Positivity,CQ22019,0.85,2,2019,2019-06-30
+VZ,Verizon,Net Positivity,CQ22019,1.51,2,2019,2019-06-30
+AMZN,Amazon,Net Positivity,CQ22019,1.04,2,2019,2019-06-30
+AZO,AutoZone,Net Positivity,CQ22019,1.58,2,2019,2019-06-30
+BBY,Best Buy,Net Positivity,CQ22019,1.62,2,2019,2019-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22019,0.69,2,2019,2019-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22019,2.15,2,2019,2019-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22019,1.15,2,2019,2019-06-30
+F,Ford Motor Company,Net Positivity,CQ22019,1.8,2,2019,2019-06-30
+GM,General Motors,Net Positivity,CQ22019,1.12,2,2019,2019-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22019,2.19,2,2019,2019-06-30
+HAS,Hasbro,Net Positivity,CQ22019,1.7,2,2019,2019-06-30
+LOW,Lowe's,Net Positivity,CQ22019,1.74,2,2019,2019-06-30
+MCD,McDonald's,Net Positivity,CQ22019,2.42,2,2019,2019-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22019,2.45,2,2019,2019-06-30
+ROST,Ross Stores,Net Positivity,CQ22019,0.7,2,2019,2019-06-30
+TJX,TJX Companies,Net Positivity,CQ22019,1.31,2,2019,2019-06-30
+TGT,Target,Net Positivity,CQ22019,2.01,2,2019,2019-06-30
+MO,Altria,Net Positivity,CQ22019,0.28,2,2019,2019-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22019,0.87,2,2019,2019-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22019,0.95,2,2019,2019-06-30
+CLX,Clorox,Net Positivity,CQ22019,1.52,2,2019,2019-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22019,1.64,2,2019,2019-06-30
+COST,Costco,Net Positivity,CQ22019,0.9,2,2019,2019-06-30
+GIS,General Mills,Net Positivity,CQ22019,1.59,2,2019,2019-06-30
+HSY,Hershey Company,Net Positivity,CQ22019,2.13,2,2019,2019-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22019,1.94,2,2019,2019-06-30
+KR,Kroger,Net Positivity,CQ22019,1.88,2,2019,2019-06-30
+MKC,McCormick & Company,Net Positivity,CQ22019,1.05,2,2019,2019-06-30
+PEP,PepsiCo,Net Positivity,CQ22019,3.02,2,2019,2019-06-30
+PG,Procter & Gamble,Net Positivity,CQ22019,1.52,2,2019,2019-06-30
+SYY,Sysco,Net Positivity,CQ22019,1.03,2,2019,2019-06-30
+WMT,Walmart,Net Positivity,CQ22019,,2,2019,2019-06-30
+APA,APA Corporation,Net Positivity,CQ22019,0.72,2,2019,2019-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22019,,2,2019,2019-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22019,0.73,2,2019,2019-06-30
+EOG,EOG Resources,Net Positivity,CQ22019,2.14,2,2019,2019-06-30
+XOM,ExxonMobil,Net Positivity,CQ22019,0.98,2,2019,2019-06-30
+HAL,Halliburton,Net Positivity,CQ22019,1.2,2,2019,2019-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22019,1.23,2,2019,2019-06-30
+SLB,Schlumberger,Net Positivity,CQ22019,1.09,2,2019,2019-06-30
+VLO,Valero Energy,Net Positivity,CQ22019,0.37,2,2019,2019-06-30
+AFL,Aflac,Net Positivity,CQ22019,0.97,2,2019,2019-06-30
+ALL,Allstate,Net Positivity,CQ22019,0.12,2,2019,2019-06-30
+AXP,American Express,Net Positivity,CQ22019,1.27,2,2019,2019-06-30
+AIG,American International Group,Net Positivity,CQ22019,0.39,2,2019,2019-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22019,1.23,2,2019,2019-06-30
+AON,Aon plc,Net Positivity,CQ22019,1.61,2,2019,2019-06-30
+BK,BNY Mellon,Net Positivity,CQ22019,1.03,2,2019,2019-06-30
+BAC,Bank of America,Net Positivity,CQ22019,0.76,2,2019,2019-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22019,,2,2019,2019-06-30
+BLK,BlackRock,Net Positivity,CQ22019,1.0,2,2019,2019-06-30
+CME,CME Group,Net Positivity,CQ22019,0.85,2,2019,2019-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22019,,2,2019,2019-06-30
+CB,Chubb Limited,Net Positivity,CQ22019,-0.41,2,2019,2019-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22019,0.05,2,2019,2019-06-30
+C,Citigroup,Net Positivity,CQ22019,1.1,2,2019,2019-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22019,2.48,2,2019,2019-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22019,1.07,2,2019,2019-06-30
+FISV,Fiserv,Net Positivity,CQ22019,1.41,2,2019,2019-06-30
+GS,Goldman Sachs,Net Positivity,CQ22019,0.85,2,2019,2019-06-30
+HIG,Hartford Financial,Net Positivity,CQ22019,0.93,2,2019,2019-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22019,0.39,2,2019,2019-06-30
+IVZ,Invesco,Net Positivity,CQ22019,1.21,2,2019,2019-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22019,0.77,2,2019,2019-06-30
+KEY,KeyCorp,Net Positivity,CQ22019,0.72,2,2019,2019-06-30
+MA,Mastercard,Net Positivity,CQ22019,0.88,2,2019,2019-06-30
+MET,MetLife,Net Positivity,CQ22019,1.83,2,2019,2019-06-30
+MS,Morgan Stanley,Net Positivity,CQ22019,0.86,2,2019,2019-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22019,1.37,2,2019,2019-06-30
+NTRS,Northern Trust,Net Positivity,CQ22019,0.08,2,2019,2019-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22019,0.52,2,2019,2019-06-30
+PRU,Prudential Financial,Net Positivity,CQ22019,1.33,2,2019,2019-06-30
+RF,Regions Financial,Net Positivity,CQ22019,0.31,2,2019,2019-06-30
+SPGI,S&P Global,Net Positivity,CQ22019,0.82,2,2019,2019-06-30
+STT,State Street,Net Positivity,CQ22019,0.76,2,2019,2019-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22019,,2,2019,2019-06-30
+TRV,Travelers Companies,Net Positivity,CQ22019,1.03,2,2019,2019-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22019,0.87,2,2019,2019-06-30
+V,Visa,Net Positivity,CQ22019,0.93,2,2019,2019-06-30
+WFC,Wells Fargo,Net Positivity,CQ22019,0.51,2,2019,2019-06-30
+ABBV,AbbVie,Net Positivity,CQ22019,0.9,2,2019,2019-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22019,1.12,2,2019,2019-06-30
+A,Agilent Technologies,Net Positivity,CQ22019,0.48,2,2019,2019-06-30
+AMGN,Amgen,Net Positivity,CQ22019,0.88,2,2019,2019-06-30
+BAX,Baxter International,Net Positivity,CQ22019,1.19,2,2019,2019-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22019,1.18,2,2019,2019-06-30
+BIIB,Biogen,Net Positivity,CQ22019,0.92,2,2019,2019-06-30
+BSX,Boston Scientific,Net Positivity,CQ22019,0.74,2,2019,2019-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22019,1.17,2,2019,2019-06-30
+CVS,CVS Health,Net Positivity,CQ22019,1.63,2,2019,2019-06-30
+COR,Cencora,Net Positivity,CQ22019,,2,2019,2019-06-30
+CI,Cigna,Net Positivity,CQ22019,1.93,2,2019,2019-06-30
+DVA,DaVita,Net Positivity,CQ22019,0.41,2,2019,2019-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22019,2.22,2,2019,2019-06-30
+LLY,Eli Lilly,Net Positivity,CQ22019,1.31,2,2019,2019-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22019,1.55,2,2019,2019-06-30
+HUM,Humana,Net Positivity,CQ22019,1.26,2,2019,2019-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22019,0.86,2,2019,2019-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22019,1.31,2,2019,2019-06-30
+LH,Labcorp,Net Positivity,CQ22019,1.04,2,2019,2019-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22019,0.67,2,2019,2019-06-30
+MDT,Medtronic,Net Positivity,CQ22019,1.12,2,2019,2019-06-30
+MRK,Merck & Co.,Net Positivity,CQ22019,1.8,2,2019,2019-06-30
+PFE,Pfizer,Net Positivity,CQ22019,1.0,2,2019,2019-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22019,1.93,2,2019,2019-06-30
+WAT,Waters Corporation,Net Positivity,CQ22019,0.92,2,2019,2019-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22019,1.49,2,2019,2019-06-30
+MMM,3M,Net Positivity,CQ22019,-0.58,2,2019,2019-06-30
+AME,Ametek,Net Positivity,CQ22019,1.49,2,2019,2019-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22019,1.56,2,2019,2019-06-30
+BA,Boeing,Net Positivity,CQ22019,1.01,2,2019,2019-06-30
+CSX,CSX Corporation,Net Positivity,CQ22019,1.38,2,2019,2019-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22019,0.8,2,2019,2019-06-30
+CTAS,Cintas,Net Positivity,CQ22019,,2,2019,2019-06-30
+CMI,Cummins,Net Positivity,CQ22019,0.8,2,2019,2019-06-30
+DE,Deere & Company,Net Positivity,CQ22019,0.44,2,2019,2019-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22019,0.46,2,2019,2019-06-30
+EMR,Emerson Electric,Net Positivity,CQ22019,0.76,2,2019,2019-06-30
+EFX,Equifax,Net Positivity,CQ22019,0.68,2,2019,2019-06-30
+EXPD,Expeditors International,Net Positivity,CQ22019,,2,2019,2019-06-30
+FDX,FedEx,Net Positivity,CQ22019,0.85,2,2019,2019-06-30
+GE,GE Aerospace,Net Positivity,CQ22019,0.89,2,2019,2019-06-30
+GD,General Dynamics,Net Positivity,CQ22019,1.09,2,2019,2019-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22019,0.27,2,2019,2019-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22019,1.37,2,2019,2019-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22019,1.74,2,2019,2019-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22019,1.49,2,2019,2019-06-30
+PCAR,Paccar,Net Positivity,CQ22019,1.83,2,2019,2019-06-30
+RTX,RTX Corporation,Net Positivity,CQ22019,1.41,2,2019,2019-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22019,0.81,2,2019,2019-06-30
+ROP,Roper Technologies,Net Positivity,CQ22019,1.5,2,2019,2019-06-30
+SNA,Snap-on,Net Positivity,CQ22019,1.43,2,2019,2019-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22019,1.54,2,2019,2019-06-30
+UPS,United Parcel Service,Net Positivity,CQ22019,2.08,2,2019,2019-06-30
+WM,Waste Management,Net Positivity,CQ22019,1.4,2,2019,2019-06-30
+ACN,Accenture,Net Positivity,CQ22019,1.57,2,2019,2019-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22019,2.65,2,2019,2019-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22019,1.6,2,2019,2019-06-30
+APH,Amphenol,Net Positivity,CQ22019,1.2,2,2019,2019-06-30
+ADI,Analog Devices,Net Positivity,CQ22019,0.78,2,2019,2019-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22019,1.67,2,2019,2019-06-30
+AMAT,Applied Materials,Net Positivity,CQ22019,1.45,2,2019,2019-06-30
+ADSK,Autodesk,Net Positivity,CQ22019,1.34,2,2019,2019-06-30
+AVGO,Broadcom,Net Positivity,CQ22019,0.32,2,2019,2019-06-30
+CSCO,Cisco,Net Positivity,CQ22019,0.94,2,2019,2019-06-30
+CTSH,Cognizant,Net Positivity,CQ22019,1.15,2,2019,2019-06-30
+HPQ,HP Inc.,Net Positivity,CQ22019,1.14,2,2019,2019-06-30
+IBM,IBM,Net Positivity,CQ22019,1.05,2,2019,2019-06-30
+INTC,Intel,Net Positivity,CQ22019,1.04,2,2019,2019-06-30
+INTU,Intuit,Net Positivity,CQ22019,1.62,2,2019,2019-06-30
+LRCX,Lam Research,Net Positivity,CQ22019,0.93,2,2019,2019-06-30
+MU,Micron Technology,Net Positivity,CQ22019,0.94,2,2019,2019-06-30
+MSFT,Microsoft,Net Positivity,CQ22019,1.7,2,2019,2019-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22019,0.47,2,2019,2019-06-30
+NTAP,NetApp,Net Positivity,CQ22019,1.17,2,2019,2019-06-30
+NVDA,Nvidia,Net Positivity,CQ22019,1.08,2,2019,2019-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22019,0.62,2,2019,2019-06-30
+TXN,Texas Instruments,Net Positivity,CQ22019,0.39,2,2019,2019-06-30
+APD,Air Products,Net Positivity,CQ22019,1.45,2,2019,2019-06-30
+AVY,Avery Dennison,Net Positivity,CQ22019,0.88,2,2019,2019-06-30
+ECL,Ecolab,Net Positivity,CQ22019,1.04,2,2019,2019-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22019,1.48,2,2019,2019-06-30
+IP,International Paper,Net Positivity,CQ22019,0.55,2,2019,2019-06-30
+LIN,Linde plc,Net Positivity,CQ22019,0.39,2,2019,2019-06-30
+NEM,Newmont,Net Positivity,CQ22019,1.2,2,2019,2019-06-30
+NUE,Nucor,Net Positivity,CQ22019,1.38,2,2019,2019-06-30
+AMT,American Tower,Net Positivity,CQ22019,1.13,2,2019,2019-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22019,0.47,2,2019,2019-06-30
+EQR,Equity Residential,Net Positivity,CQ22019,0.98,2,2019,2019-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22019,1.45,2,2019,2019-06-30
+IRM,Iron Mountain,Net Positivity,CQ22019,0.96,2,2019,2019-06-30
+PLD,Prologis,Net Positivity,CQ22019,1.08,2,2019,2019-06-30
+VTR,Ventas,Net Positivity,CQ22019,2.04,2,2019,2019-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22019,0.46,2,2019,2019-06-30
+AES,AES Corporation,Net Positivity,CQ22019,0.77,2,2019,2019-06-30
+AEE,Ameren,Net Positivity,CQ22019,0.91,2,2019,2019-06-30
+AEP,American Electric Power,Net Positivity,CQ22019,0.62,2,2019,2019-06-30
+CMS,CMS Energy,Net Positivity,CQ22019,1.28,2,2019,2019-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22019,0.88,2,2019,2019-06-30
+DUK,Duke Energy,Net Positivity,CQ22019,0.66,2,2019,2019-06-30
+EIX,Edison International,Net Positivity,CQ22019,-0.72,2,2019,2019-06-30
+ETR,Entergy,Net Positivity,CQ22019,1.03,2,2019,2019-06-30
+EXC,Exelon,Net Positivity,CQ22019,1.3,2,2019,2019-06-30
+NEE,NextEra Energy,Net Positivity,CQ22019,0.86,2,2019,2019-06-30
+SO,Southern Company,Net Positivity,CQ22019,0.78,2,2019,2019-06-30
+XEL,Xcel Energy,Net Positivity,CQ22019,1.95,2,2019,2019-06-30
+T,AT&T,Numeric Transeprency,CQ22019,2.01,2,2019,2019-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22019,1.81,2,2019,2019-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22019,,2,2019,2019-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22019,1.28,2,2019,2019-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22019,0.7,2,2019,2019-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22019,3.86,2,2019,2019-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22019,2.93,2,2019,2019-06-30
+VZ,Verizon,Numeric Transeprency,CQ22019,2.17,2,2019,2019-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22019,1.45,2,2019,2019-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22019,2.31,2,2019,2019-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22019,2.11,2,2019,2019-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22019,1.56,2,2019,2019-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22019,2.27,2,2019,2019-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22019,2.4,2,2019,2019-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22019,1.34,2,2019,2019-06-30
+GM,General Motors,Numeric Transeprency,CQ22019,2.13,2,2019,2019-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22019,3.5,2,2019,2019-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22019,1.57,2,2019,2019-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22019,1.75,2,2019,2019-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22019,1.84,2,2019,2019-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22019,2.14,2,2019,2019-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22019,1.88,2,2019,2019-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22019,1.96,2,2019,2019-06-30
+TGT,Target,Numeric Transeprency,CQ22019,1.41,2,2019,2019-06-30
+MO,Altria,Numeric Transeprency,CQ22019,2.14,2,2019,2019-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22019,2.41,2,2019,2019-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22019,2.58,2,2019,2019-06-30
+CLX,Clorox,Numeric Transeprency,CQ22019,1.62,2,2019,2019-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22019,1.08,2,2019,2019-06-30
+COST,Costco,Numeric Transeprency,CQ22019,3.45,2,2019,2019-06-30
+GIS,General Mills,Numeric Transeprency,CQ22019,3.25,2,2019,2019-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22019,2.26,2,2019,2019-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22019,1.49,2,2019,2019-06-30
+KR,Kroger,Numeric Transeprency,CQ22019,1.39,2,2019,2019-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22019,2.22,2,2019,2019-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22019,1.01,2,2019,2019-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22019,1.83,2,2019,2019-06-30
+SYY,Sysco,Numeric Transeprency,CQ22019,1.37,2,2019,2019-06-30
+WMT,Walmart,Numeric Transeprency,CQ22019,,2,2019,2019-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22019,2.42,2,2019,2019-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22019,,2,2019,2019-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22019,1.7,2,2019,2019-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22019,1.49,2,2019,2019-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22019,1.47,2,2019,2019-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22019,1.44,2,2019,2019-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22019,1.92,2,2019,2019-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22019,2.01,2,2019,2019-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22019,2.78,2,2019,2019-06-30
+AFL,Aflac,Numeric Transeprency,CQ22019,1.5,2,2019,2019-06-30
+ALL,Allstate,Numeric Transeprency,CQ22019,2.18,2,2019,2019-06-30
+AXP,American Express,Numeric Transeprency,CQ22019,2.18,2,2019,2019-06-30
+AIG,American International Group,Numeric Transeprency,CQ22019,2.89,2,2019,2019-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22019,1.52,2,2019,2019-06-30
+AON,Aon plc,Numeric Transeprency,CQ22019,1.62,2,2019,2019-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22019,1.56,2,2019,2019-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22019,3.27,2,2019,2019-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22019,,2,2019,2019-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22019,1.7,2,2019,2019-06-30
+CME,CME Group,Numeric Transeprency,CQ22019,1.82,2,2019,2019-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22019,,2,2019,2019-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22019,2.55,2,2019,2019-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22019,2.19,2,2019,2019-06-30
+C,Citigroup,Numeric Transeprency,CQ22019,2.77,2,2019,2019-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22019,2.06,2,2019,2019-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22019,3.46,2,2019,2019-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22019,1.84,2,2019,2019-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22019,1.76,2,2019,2019-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22019,2.42,2,2019,2019-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22019,1.63,2,2019,2019-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22019,2.0,2,2019,2019-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22019,1.95,2,2019,2019-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22019,2.51,2,2019,2019-06-30
+MA,Mastercard,Numeric Transeprency,CQ22019,1.49,2,2019,2019-06-30
+MET,MetLife,Numeric Transeprency,CQ22019,2.92,2,2019,2019-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22019,1.8,2,2019,2019-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22019,2.46,2,2019,2019-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22019,2.77,2,2019,2019-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22019,2.49,2,2019,2019-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22019,1.68,2,2019,2019-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22019,2.59,2,2019,2019-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22019,2.55,2,2019,2019-06-30
+STT,State Street,Numeric Transeprency,CQ22019,1.8,2,2019,2019-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22019,,2,2019,2019-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22019,2.37,2,2019,2019-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22019,2.04,2,2019,2019-06-30
+V,Visa,Numeric Transeprency,CQ22019,2.24,2,2019,2019-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22019,1.67,2,2019,2019-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22019,1.7,2,2019,2019-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22019,1.61,2,2019,2019-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22019,1.85,2,2019,2019-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22019,2.33,2,2019,2019-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22019,2.31,2,2019,2019-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22019,2.42,2,2019,2019-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22019,2.55,2,2019,2019-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22019,3.8,2,2019,2019-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22019,1.28,2,2019,2019-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22019,1.73,2,2019,2019-06-30
+COR,Cencora,Numeric Transeprency,CQ22019,,2,2019,2019-06-30
+CI,Cigna,Numeric Transeprency,CQ22019,2.43,2,2019,2019-06-30
+DVA,DaVita,Numeric Transeprency,CQ22019,1.96,2,2019,2019-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22019,1.54,2,2019,2019-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22019,2.65,2,2019,2019-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22019,1.49,2,2019,2019-06-30
+HUM,Humana,Numeric Transeprency,CQ22019,2.11,2,2019,2019-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22019,3.28,2,2019,2019-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22019,3.04,2,2019,2019-06-30
+LH,Labcorp,Numeric Transeprency,CQ22019,2.84,2,2019,2019-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22019,2.86,2,2019,2019-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22019,2.45,2,2019,2019-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22019,1.63,2,2019,2019-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22019,2.17,2,2019,2019-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22019,2.56,2,2019,2019-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22019,1.72,2,2019,2019-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22019,1.14,2,2019,2019-06-30
+MMM,3M,Numeric Transeprency,CQ22019,2.26,2,2019,2019-06-30
+AME,Ametek,Numeric Transeprency,CQ22019,2.82,2,2019,2019-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22019,1.46,2,2019,2019-06-30
+BA,Boeing,Numeric Transeprency,CQ22019,2.09,2,2019,2019-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22019,1.71,2,2019,2019-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22019,1.79,2,2019,2019-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22019,,2,2019,2019-06-30
+CMI,Cummins,Numeric Transeprency,CQ22019,3.0,2,2019,2019-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22019,1.94,2,2019,2019-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22019,2.21,2,2019,2019-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22019,2.22,2,2019,2019-06-30
+EFX,Equifax,Numeric Transeprency,CQ22019,2.28,2,2019,2019-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22019,,2,2019,2019-06-30
+FDX,FedEx,Numeric Transeprency,CQ22019,1.56,2,2019,2019-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22019,2.99,2,2019,2019-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22019,3.29,2,2019,2019-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22019,3.34,2,2019,2019-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22019,2.53,2,2019,2019-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22019,1.96,2,2019,2019-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22019,2.08,2,2019,2019-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22019,2.0,2,2019,2019-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22019,2.46,2,2019,2019-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22019,2.29,2,2019,2019-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22019,2.17,2,2019,2019-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22019,3.19,2,2019,2019-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22019,2.35,2,2019,2019-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22019,1.69,2,2019,2019-06-30
+WM,Waste Management,Numeric Transeprency,CQ22019,2.41,2,2019,2019-06-30
+ACN,Accenture,Numeric Transeprency,CQ22019,2.35,2,2019,2019-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22019,1.83,2,2019,2019-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22019,2.14,2,2019,2019-06-30
+APH,Amphenol,Numeric Transeprency,CQ22019,2.01,2,2019,2019-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22019,1.69,2,2019,2019-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22019,2.4,2,2019,2019-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22019,1.93,2,2019,2019-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22019,1.52,2,2019,2019-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22019,2.66,2,2019,2019-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22019,1.84,2,2019,2019-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22019,1.66,2,2019,2019-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22019,2.04,2,2019,2019-06-30
+IBM,IBM,Numeric Transeprency,CQ22019,1.95,2,2019,2019-06-30
+INTC,Intel,Numeric Transeprency,CQ22019,1.93,2,2019,2019-06-30
+INTU,Intuit,Numeric Transeprency,CQ22019,1.64,2,2019,2019-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22019,1.43,2,2019,2019-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22019,2.28,2,2019,2019-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22019,2.69,2,2019,2019-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22019,3.44,2,2019,2019-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22019,2.54,2,2019,2019-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22019,1.39,2,2019,2019-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22019,2.85,2,2019,2019-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22019,2.33,2,2019,2019-06-30
+APD,Air Products,Numeric Transeprency,CQ22019,2.77,2,2019,2019-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22019,1.64,2,2019,2019-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22019,1.45,2,2019,2019-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22019,2.43,2,2019,2019-06-30
+IP,International Paper,Numeric Transeprency,CQ22019,1.26,2,2019,2019-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22019,1.94,2,2019,2019-06-30
+NEM,Newmont,Numeric Transeprency,CQ22019,2.57,2,2019,2019-06-30
+NUE,Nucor,Numeric Transeprency,CQ22019,1.68,2,2019,2019-06-30
+AMT,American Tower,Numeric Transeprency,CQ22019,2.69,2,2019,2019-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22019,2.09,2,2019,2019-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22019,1.81,2,2019,2019-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22019,2.56,2,2019,2019-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22019,2.22,2,2019,2019-06-30
+PLD,Prologis,Numeric Transeprency,CQ22019,2.66,2,2019,2019-06-30
+VTR,Ventas,Numeric Transeprency,CQ22019,2.52,2,2019,2019-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22019,1.93,2,2019,2019-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22019,3.58,2,2019,2019-06-30
+AEE,Ameren,Numeric Transeprency,CQ22019,2.81,2,2019,2019-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22019,3.01,2,2019,2019-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22019,2.3,2,2019,2019-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22019,4.01,2,2019,2019-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22019,2.45,2,2019,2019-06-30
+EIX,Edison International,Numeric Transeprency,CQ22019,2.28,2,2019,2019-06-30
+ETR,Entergy,Numeric Transeprency,CQ22019,1.66,2,2019,2019-06-30
+EXC,Exelon,Numeric Transeprency,CQ22019,2.96,2,2019,2019-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22019,3.35,2,2019,2019-06-30
+SO,Southern Company,Numeric Transeprency,CQ22019,3.13,2,2019,2019-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22019,3.05,2,2019,2019-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22019,25.0,2,2019,2019-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22019,27.03,2,2019,2019-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22019,,2,2019,2019-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22019,23.68,2,2019,2019-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22019,2.63,2,2019,2019-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22019,30.77,2,2019,2019-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22019,33.33,2,2019,2019-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22019,27.27,2,2019,2019-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22019,39.13,2,2019,2019-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22019,28.57,2,2019,2019-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22019,35.48,2,2019,2019-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22019,38.71,2,2019,2019-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22019,44.44,2,2019,2019-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22019,38.1,2,2019,2019-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22019,42.86,2,2019,2019-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22019,66.67,2,2019,2019-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22019,14.29,2,2019,2019-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22019,35.71,2,2019,2019-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22019,19.35,2,2019,2019-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22019,52.0,2,2019,2019-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22019,37.04,2,2019,2019-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22019,25.93,2,2019,2019-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22019,66.67,2,2019,2019-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22019,66.67,2,2019,2019-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22019,36.84,2,2019,2019-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22019,57.89,2,2019,2019-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22019,41.67,2,2019,2019-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22019,26.92,2,2019,2019-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22019,52.63,2,2019,2019-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22019,52.94,2,2019,2019-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22019,52.63,2,2019,2019-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22019,24.14,2,2019,2019-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22019,72.73,2,2019,2019-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22019,65.22,2,2019,2019-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22019,53.85,2,2019,2019-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22019,30.77,2,2019,2019-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22019,,2,2019,2019-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22019,,2,2019,2019-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22019,15.38,2,2019,2019-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22019,22.58,2,2019,2019-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22019,33.33,2,2019,2019-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22019,25.0,2,2019,2019-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22019,36.84,2,2019,2019-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22019,21.88,2,2019,2019-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22019,44.44,2,2019,2019-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22019,46.67,2,2019,2019-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22019,41.18,2,2019,2019-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22019,33.33,2,2019,2019-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22019,30.0,2,2019,2019-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22019,31.58,2,2019,2019-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22019,42.86,2,2019,2019-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22019,29.63,2,2019,2019-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22019,,2,2019,2019-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22019,33.33,2,2019,2019-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22019,64.71,2,2019,2019-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22019,,2,2019,2019-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22019,40.0,2,2019,2019-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22019,87.5,2,2019,2019-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22019,40.0,2,2019,2019-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22019,26.32,2,2019,2019-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22019,25.0,2,2019,2019-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22019,31.58,2,2019,2019-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22019,44.44,2,2019,2019-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22019,36.84,2,2019,2019-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22019,80.0,2,2019,2019-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22019,23.68,2,2019,2019-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22019,31.58,2,2019,2019-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22019,32.14,2,2019,2019-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22019,33.33,2,2019,2019-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22019,45.0,2,2019,2019-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22019,26.09,2,2019,2019-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22019,36.84,2,2019,2019-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22019,34.62,2,2019,2019-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22019,56.25,2,2019,2019-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22019,57.14,2,2019,2019-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22019,,2,2019,2019-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22019,45.45,2,2019,2019-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22019,37.5,2,2019,2019-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22019,20.0,2,2019,2019-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22019,38.46,2,2019,2019-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22019,33.33,2,2019,2019-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22019,26.32,2,2019,2019-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22019,84.62,2,2019,2019-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22019,63.64,2,2019,2019-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22019,33.33,2,2019,2019-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22019,52.63,2,2019,2019-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22019,37.93,2,2019,2019-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22019,33.33,2,2019,2019-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22019,63.64,2,2019,2019-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22019,,2,2019,2019-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22019,54.55,2,2019,2019-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22019,45.45,2,2019,2019-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22019,46.67,2,2019,2019-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22019,84.62,2,2019,2019-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22019,34.62,2,2019,2019-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22019,61.9,2,2019,2019-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22019,55.56,2,2019,2019-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22019,61.9,2,2019,2019-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22019,31.25,2,2019,2019-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22019,34.62,2,2019,2019-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22019,66.67,2,2019,2019-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22019,61.54,2,2019,2019-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22019,53.33,2,2019,2019-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22019,53.33,2,2019,2019-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22019,71.43,2,2019,2019-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22019,46.67,2,2019,2019-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22019,29.41,2,2019,2019-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22019,36.36,2,2019,2019-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22019,53.85,2,2019,2019-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22019,65.38,2,2019,2019-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22019,,2,2019,2019-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22019,30.77,2,2019,2019-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22019,85.71,2,2019,2019-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22019,47.83,2,2019,2019-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22019,40.91,2,2019,2019-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22019,61.11,2,2019,2019-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22019,,2,2019,2019-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22019,46.15,2,2019,2019-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22019,53.33,2,2019,2019-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22019,43.75,2,2019,2019-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22019,60.0,2,2019,2019-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22019,61.11,2,2019,2019-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22019,60.87,2,2019,2019-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22019,55.56,2,2019,2019-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22019,47.83,2,2019,2019-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22019,52.63,2,2019,2019-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22019,39.13,2,2019,2019-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22019,45.45,2,2019,2019-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22019,55.56,2,2019,2019-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22019,68.42,2,2019,2019-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22019,26.92,2,2019,2019-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22019,54.55,2,2019,2019-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22019,33.33,2,2019,2019-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22019,34.48,2,2019,2019-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22019,54.17,2,2019,2019-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22019,83.33,2,2019,2019-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22019,29.17,2,2019,2019-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22019,17.07,2,2019,2019-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22019,52.17,2,2019,2019-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22019,39.13,2,2019,2019-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22019,34.29,2,2019,2019-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22019,40.74,2,2019,2019-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22019,23.33,2,2019,2019-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22019,64.29,2,2019,2019-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22019,40.0,2,2019,2019-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22019,29.73,2,2019,2019-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22019,54.55,2,2019,2019-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22019,42.86,2,2019,2019-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22019,23.33,2,2019,2019-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22019,25.0,2,2019,2019-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22019,23.68,2,2019,2019-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22019,21.21,2,2019,2019-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22019,22.58,2,2019,2019-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22019,60.0,2,2019,2019-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22019,72.73,2,2019,2019-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22019,52.17,2,2019,2019-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22019,66.67,2,2019,2019-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22019,66.67,2,2019,2019-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22019,37.5,2,2019,2019-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22019,37.5,2,2019,2019-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22019,53.33,2,2019,2019-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22019,33.33,2,2019,2019-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22019,25.0,2,2019,2019-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22019,25.0,2,2019,2019-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22019,100.0,2,2019,2019-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22019,40.0,2,2019,2019-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22019,75.0,2,2019,2019-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22019,54.55,2,2019,2019-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22019,10.0,2,2019,2019-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22019,41.18,2,2019,2019-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22019,43.75,2,2019,2019-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22019,35.29,2,2019,2019-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22019,31.25,2,2019,2019-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22019,50.0,2,2019,2019-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22019,27.78,2,2019,2019-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22019,37.5,2,2019,2019-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22019,52.94,2,2019,2019-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22019,14.29,2,2019,2019-06-30
+T,AT&T,Language Complexity,CQ22019,10.96,2,2019,2019-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22019,13.04,2,2019,2019-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22019,,2,2019,2019-06-30
+META,Meta Platforms,Language Complexity,CQ22019,12.25,2,2019,2019-06-30
+NFLX,Netflix,Language Complexity,CQ22019,13.03,2,2019,2019-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22019,14.04,2,2019,2019-06-30
+OMC,Omnicom Group,Language Complexity,CQ22019,14.11,2,2019,2019-06-30
+VZ,Verizon,Language Complexity,CQ22019,12.63,2,2019,2019-06-30
+AMZN,Amazon,Language Complexity,CQ22019,11.64,2,2019,2019-06-30
+AZO,AutoZone,Language Complexity,CQ22019,12.64,2,2019,2019-06-30
+BBY,Best Buy,Language Complexity,CQ22019,14.16,2,2019,2019-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22019,12.41,2,2019,2019-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22019,13.19,2,2019,2019-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22019,10.95,2,2019,2019-06-30
+F,Ford Motor Company,Language Complexity,CQ22019,11.69,2,2019,2019-06-30
+GM,General Motors,Language Complexity,CQ22019,11.31,2,2019,2019-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22019,12.61,2,2019,2019-06-30
+HAS,Hasbro,Language Complexity,CQ22019,11.82,2,2019,2019-06-30
+LOW,Lowe's,Language Complexity,CQ22019,13.04,2,2019,2019-06-30
+MCD,McDonald's,Language Complexity,CQ22019,13.12,2,2019,2019-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22019,13.43,2,2019,2019-06-30
+ROST,Ross Stores,Language Complexity,CQ22019,10.73,2,2019,2019-06-30
+TJX,TJX Companies,Language Complexity,CQ22019,10.66,2,2019,2019-06-30
+TGT,Target,Language Complexity,CQ22019,13.22,2,2019,2019-06-30
+MO,Altria,Language Complexity,CQ22019,12.96,2,2019,2019-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22019,12.46,2,2019,2019-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22019,12.79,2,2019,2019-06-30
+CLX,Clorox,Language Complexity,CQ22019,12.17,2,2019,2019-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22019,12.3,2,2019,2019-06-30
+COST,Costco,Language Complexity,CQ22019,10.63,2,2019,2019-06-30
+GIS,General Mills,Language Complexity,CQ22019,12.16,2,2019,2019-06-30
+HSY,Hershey Company,Language Complexity,CQ22019,11.85,2,2019,2019-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22019,10.72,2,2019,2019-06-30
+KR,Kroger,Language Complexity,CQ22019,13.26,2,2019,2019-06-30
+MKC,McCormick & Company,Language Complexity,CQ22019,12.83,2,2019,2019-06-30
+PEP,PepsiCo,Language Complexity,CQ22019,12.26,2,2019,2019-06-30
+PG,Procter & Gamble,Language Complexity,CQ22019,13.19,2,2019,2019-06-30
+SYY,Sysco,Language Complexity,CQ22019,12.63,2,2019,2019-06-30
+WMT,Walmart,Language Complexity,CQ22019,,2,2019,2019-06-30
+APA,APA Corporation,Language Complexity,CQ22019,11.82,2,2019,2019-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22019,,2,2019,2019-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22019,12.6,2,2019,2019-06-30
+EOG,EOG Resources,Language Complexity,CQ22019,12.22,2,2019,2019-06-30
+XOM,ExxonMobil,Language Complexity,CQ22019,12.39,2,2019,2019-06-30
+HAL,Halliburton,Language Complexity,CQ22019,13.02,2,2019,2019-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22019,13.03,2,2019,2019-06-30
+SLB,Schlumberger,Language Complexity,CQ22019,13.46,2,2019,2019-06-30
+VLO,Valero Energy,Language Complexity,CQ22019,11.02,2,2019,2019-06-30
+AFL,Aflac,Language Complexity,CQ22019,12.93,2,2019,2019-06-30
+ALL,Allstate,Language Complexity,CQ22019,12.29,2,2019,2019-06-30
+AXP,American Express,Language Complexity,CQ22019,12.86,2,2019,2019-06-30
+AIG,American International Group,Language Complexity,CQ22019,14.16,2,2019,2019-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22019,12.85,2,2019,2019-06-30
+AON,Aon plc,Language Complexity,CQ22019,13.68,2,2019,2019-06-30
+BK,BNY Mellon,Language Complexity,CQ22019,12.58,2,2019,2019-06-30
+BAC,Bank of America,Language Complexity,CQ22019,11.03,2,2019,2019-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22019,,2,2019,2019-06-30
+BLK,BlackRock,Language Complexity,CQ22019,15.09,2,2019,2019-06-30
+CME,CME Group,Language Complexity,CQ22019,11.61,2,2019,2019-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22019,,2,2019,2019-06-30
+CB,Chubb Limited,Language Complexity,CQ22019,10.26,2,2019,2019-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22019,11.31,2,2019,2019-06-30
+C,Citigroup,Language Complexity,CQ22019,12.66,2,2019,2019-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22019,12.63,2,2019,2019-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22019,13.04,2,2019,2019-06-30
+FISV,Fiserv,Language Complexity,CQ22019,14.05,2,2019,2019-06-30
+GS,Goldman Sachs,Language Complexity,CQ22019,13.24,2,2019,2019-06-30
+HIG,Hartford Financial,Language Complexity,CQ22019,12.78,2,2019,2019-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22019,13.71,2,2019,2019-06-30
+IVZ,Invesco,Language Complexity,CQ22019,11.94,2,2019,2019-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22019,11.3,2,2019,2019-06-30
+KEY,KeyCorp,Language Complexity,CQ22019,12.41,2,2019,2019-06-30
+MA,Mastercard,Language Complexity,CQ22019,12.37,2,2019,2019-06-30
+MET,MetLife,Language Complexity,CQ22019,13.12,2,2019,2019-06-30
+MS,Morgan Stanley,Language Complexity,CQ22019,11.73,2,2019,2019-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22019,15.59,2,2019,2019-06-30
+NTRS,Northern Trust,Language Complexity,CQ22019,11.5,2,2019,2019-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22019,10.58,2,2019,2019-06-30
+PRU,Prudential Financial,Language Complexity,CQ22019,13.82,2,2019,2019-06-30
+RF,Regions Financial,Language Complexity,CQ22019,11.76,2,2019,2019-06-30
+SPGI,S&P Global,Language Complexity,CQ22019,12.61,2,2019,2019-06-30
+STT,State Street,Language Complexity,CQ22019,13.09,2,2019,2019-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22019,,2,2019,2019-06-30
+TRV,Travelers Companies,Language Complexity,CQ22019,12.18,2,2019,2019-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22019,11.52,2,2019,2019-06-30
+V,Visa,Language Complexity,CQ22019,12.18,2,2019,2019-06-30
+WFC,Wells Fargo,Language Complexity,CQ22019,13.43,2,2019,2019-06-30
+ABBV,AbbVie,Language Complexity,CQ22019,12.84,2,2019,2019-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22019,10.32,2,2019,2019-06-30
+A,Agilent Technologies,Language Complexity,CQ22019,11.03,2,2019,2019-06-30
+AMGN,Amgen,Language Complexity,CQ22019,13.3,2,2019,2019-06-30
+BAX,Baxter International,Language Complexity,CQ22019,12.45,2,2019,2019-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22019,11.4,2,2019,2019-06-30
+BIIB,Biogen,Language Complexity,CQ22019,14.36,2,2019,2019-06-30
+BSX,Boston Scientific,Language Complexity,CQ22019,12.72,2,2019,2019-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22019,12.5,2,2019,2019-06-30
+CVS,CVS Health,Language Complexity,CQ22019,13.01,2,2019,2019-06-30
+COR,Cencora,Language Complexity,CQ22019,,2,2019,2019-06-30
+CI,Cigna,Language Complexity,CQ22019,14.52,2,2019,2019-06-30
+DVA,DaVita,Language Complexity,CQ22019,10.46,2,2019,2019-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22019,12.67,2,2019,2019-06-30
+LLY,Eli Lilly,Language Complexity,CQ22019,12.18,2,2019,2019-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22019,14.02,2,2019,2019-06-30
+HUM,Humana,Language Complexity,CQ22019,13.33,2,2019,2019-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22019,12.52,2,2019,2019-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22019,12.51,2,2019,2019-06-30
+LH,Labcorp,Language Complexity,CQ22019,13.07,2,2019,2019-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22019,15.08,2,2019,2019-06-30
+MDT,Medtronic,Language Complexity,CQ22019,11.52,2,2019,2019-06-30
+MRK,Merck & Co.,Language Complexity,CQ22019,12.85,2,2019,2019-06-30
+PFE,Pfizer,Language Complexity,CQ22019,12.66,2,2019,2019-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22019,12.57,2,2019,2019-06-30
+WAT,Waters Corporation,Language Complexity,CQ22019,13.7,2,2019,2019-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22019,11.69,2,2019,2019-06-30
+MMM,3M,Language Complexity,CQ22019,10.97,2,2019,2019-06-30
+AME,Ametek,Language Complexity,CQ22019,11.22,2,2019,2019-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22019,12.87,2,2019,2019-06-30
+BA,Boeing,Language Complexity,CQ22019,13.47,2,2019,2019-06-30
+CSX,CSX Corporation,Language Complexity,CQ22019,11.41,2,2019,2019-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22019,11.79,2,2019,2019-06-30
+CTAS,Cintas,Language Complexity,CQ22019,,2,2019,2019-06-30
+CMI,Cummins,Language Complexity,CQ22019,11.09,2,2019,2019-06-30
+DE,Deere & Company,Language Complexity,CQ22019,12.31,2,2019,2019-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22019,11.11,2,2019,2019-06-30
+EMR,Emerson Electric,Language Complexity,CQ22019,9.81,2,2019,2019-06-30
+EFX,Equifax,Language Complexity,CQ22019,12.85,2,2019,2019-06-30
+EXPD,Expeditors International,Language Complexity,CQ22019,,2,2019,2019-06-30
+FDX,FedEx,Language Complexity,CQ22019,13.86,2,2019,2019-06-30
+GE,GE Aerospace,Language Complexity,CQ22019,11.28,2,2019,2019-06-30
+GD,General Dynamics,Language Complexity,CQ22019,10.59,2,2019,2019-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22019,11.43,2,2019,2019-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22019,12.1,2,2019,2019-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22019,11.7,2,2019,2019-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22019,12.71,2,2019,2019-06-30
+PCAR,Paccar,Language Complexity,CQ22019,11.43,2,2019,2019-06-30
+RTX,RTX Corporation,Language Complexity,CQ22019,10.9,2,2019,2019-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22019,10.67,2,2019,2019-06-30
+ROP,Roper Technologies,Language Complexity,CQ22019,11.34,2,2019,2019-06-30
+SNA,Snap-on,Language Complexity,CQ22019,11.75,2,2019,2019-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22019,12.98,2,2019,2019-06-30
+UPS,United Parcel Service,Language Complexity,CQ22019,11.64,2,2019,2019-06-30
+WM,Waste Management,Language Complexity,CQ22019,11.88,2,2019,2019-06-30
+ACN,Accenture,Language Complexity,CQ22019,12.51,2,2019,2019-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22019,14.76,2,2019,2019-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22019,11.49,2,2019,2019-06-30
+APH,Amphenol,Language Complexity,CQ22019,13.61,2,2019,2019-06-30
+ADI,Analog Devices,Language Complexity,CQ22019,11.34,2,2019,2019-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22019,12.79,2,2019,2019-06-30
+AMAT,Applied Materials,Language Complexity,CQ22019,12.14,2,2019,2019-06-30
+ADSK,Autodesk,Language Complexity,CQ22019,11.93,2,2019,2019-06-30
+AVGO,Broadcom,Language Complexity,CQ22019,13.03,2,2019,2019-06-30
+CSCO,Cisco,Language Complexity,CQ22019,11.77,2,2019,2019-06-30
+CTSH,Cognizant,Language Complexity,CQ22019,14.68,2,2019,2019-06-30
+HPQ,HP Inc.,Language Complexity,CQ22019,12.86,2,2019,2019-06-30
+IBM,IBM,Language Complexity,CQ22019,13.71,2,2019,2019-06-30
+INTC,Intel,Language Complexity,CQ22019,12.49,2,2019,2019-06-30
+INTU,Intuit,Language Complexity,CQ22019,12.08,2,2019,2019-06-30
+LRCX,Lam Research,Language Complexity,CQ22019,11.68,2,2019,2019-06-30
+MU,Micron Technology,Language Complexity,CQ22019,12.7,2,2019,2019-06-30
+MSFT,Microsoft,Language Complexity,CQ22019,14.37,2,2019,2019-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22019,11.51,2,2019,2019-06-30
+NTAP,NetApp,Language Complexity,CQ22019,12.11,2,2019,2019-06-30
+NVDA,Nvidia,Language Complexity,CQ22019,12.17,2,2019,2019-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22019,10.99,2,2019,2019-06-30
+TXN,Texas Instruments,Language Complexity,CQ22019,10.71,2,2019,2019-06-30
+APD,Air Products,Language Complexity,CQ22019,10.81,2,2019,2019-06-30
+AVY,Avery Dennison,Language Complexity,CQ22019,13.21,2,2019,2019-06-30
+ECL,Ecolab,Language Complexity,CQ22019,10.51,2,2019,2019-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22019,12.71,2,2019,2019-06-30
+IP,International Paper,Language Complexity,CQ22019,11.84,2,2019,2019-06-30
+LIN,Linde plc,Language Complexity,CQ22019,11.08,2,2019,2019-06-30
+NEM,Newmont,Language Complexity,CQ22019,12.88,2,2019,2019-06-30
+NUE,Nucor,Language Complexity,CQ22019,12.19,2,2019,2019-06-30
+AMT,American Tower,Language Complexity,CQ22019,14.6,2,2019,2019-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22019,11.62,2,2019,2019-06-30
+EQR,Equity Residential,Language Complexity,CQ22019,10.69,2,2019,2019-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22019,11.25,2,2019,2019-06-30
+IRM,Iron Mountain,Language Complexity,CQ22019,13.12,2,2019,2019-06-30
+PLD,Prologis,Language Complexity,CQ22019,10.41,2,2019,2019-06-30
+VTR,Ventas,Language Complexity,CQ22019,11.16,2,2019,2019-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22019,11.15,2,2019,2019-06-30
+AES,AES Corporation,Language Complexity,CQ22019,12.06,2,2019,2019-06-30
+AEE,Ameren,Language Complexity,CQ22019,13.37,2,2019,2019-06-30
+AEP,American Electric Power,Language Complexity,CQ22019,11.71,2,2019,2019-06-30
+CMS,CMS Energy,Language Complexity,CQ22019,13.73,2,2019,2019-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22019,13.37,2,2019,2019-06-30
+DUK,Duke Energy,Language Complexity,CQ22019,13.05,2,2019,2019-06-30
+EIX,Edison International,Language Complexity,CQ22019,15.17,2,2019,2019-06-30
+ETR,Entergy,Language Complexity,CQ22019,13.62,2,2019,2019-06-30
+EXC,Exelon,Language Complexity,CQ22019,13.6,2,2019,2019-06-30
+NEE,NextEra Energy,Language Complexity,CQ22019,14.88,2,2019,2019-06-30
+SO,Southern Company,Language Complexity,CQ22019,11.04,2,2019,2019-06-30
+XEL,Xcel Energy,Language Complexity,CQ22019,13.41,2,2019,2019-06-30
+T,AT&T,Net Positivity,CQ32019,1.32,3,2019,2019-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32019,1.61,3,2019,2019-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32019,,3,2019,2019-09-30
+META,Meta Platforms,Net Positivity,CQ32019,1.14,3,2019,2019-09-30
+NFLX,Netflix,Net Positivity,CQ32019,1.74,3,2019,2019-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32019,1.19,3,2019,2019-09-30
+OMC,Omnicom Group,Net Positivity,CQ32019,0.96,3,2019,2019-09-30
+VZ,Verizon,Net Positivity,CQ32019,1.34,3,2019,2019-09-30
+AMZN,Amazon,Net Positivity,CQ32019,1.21,3,2019,2019-09-30
+AZO,AutoZone,Net Positivity,CQ32019,1.52,3,2019,2019-09-30
+BBY,Best Buy,Net Positivity,CQ32019,1.59,3,2019,2019-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32019,1.18,3,2019,2019-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32019,1.81,3,2019,2019-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32019,1.36,3,2019,2019-09-30
+F,Ford Motor Company,Net Positivity,CQ32019,1.91,3,2019,2019-09-30
+GM,General Motors,Net Positivity,CQ32019,1.02,3,2019,2019-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32019,1.2,3,2019,2019-09-30
+HAS,Hasbro,Net Positivity,CQ32019,1.21,3,2019,2019-09-30
+LOW,Lowe's,Net Positivity,CQ32019,1.67,3,2019,2019-09-30
+MCD,McDonald's,Net Positivity,CQ32019,1.73,3,2019,2019-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32019,2.37,3,2019,2019-09-30
+ROST,Ross Stores,Net Positivity,CQ32019,1.02,3,2019,2019-09-30
+TJX,TJX Companies,Net Positivity,CQ32019,1.29,3,2019,2019-09-30
+TGT,Target,Net Positivity,CQ32019,1.77,3,2019,2019-09-30
+MO,Altria,Net Positivity,CQ32019,0.74,3,2019,2019-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32019,0.61,3,2019,2019-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32019,0.27,3,2019,2019-09-30
+CLX,Clorox,Net Positivity,CQ32019,1.47,3,2019,2019-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32019,1.61,3,2019,2019-09-30
+COST,Costco,Net Positivity,CQ32019,,3,2019,2019-09-30
+GIS,General Mills,Net Positivity,CQ32019,1.82,3,2019,2019-09-30
+HSY,Hershey Company,Net Positivity,CQ32019,1.33,3,2019,2019-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32019,2.18,3,2019,2019-09-30
+KR,Kroger,Net Positivity,CQ32019,1.68,3,2019,2019-09-30
+MKC,McCormick & Company,Net Positivity,CQ32019,,3,2019,2019-09-30
+PEP,PepsiCo,Net Positivity,CQ32019,1.7,3,2019,2019-09-30
+PG,Procter & Gamble,Net Positivity,CQ32019,1.96,3,2019,2019-09-30
+SYY,Sysco,Net Positivity,CQ32019,0.96,3,2019,2019-09-30
+WMT,Walmart,Net Positivity,CQ32019,,3,2019,2019-09-30
+APA,APA Corporation,Net Positivity,CQ32019,0.59,3,2019,2019-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32019,,3,2019,2019-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32019,0.56,3,2019,2019-09-30
+EOG,EOG Resources,Net Positivity,CQ32019,2.02,3,2019,2019-09-30
+XOM,ExxonMobil,Net Positivity,CQ32019,0.86,3,2019,2019-09-30
+HAL,Halliburton,Net Positivity,CQ32019,1.1,3,2019,2019-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32019,1.78,3,2019,2019-09-30
+SLB,Schlumberger,Net Positivity,CQ32019,1.09,3,2019,2019-09-30
+VLO,Valero Energy,Net Positivity,CQ32019,0.48,3,2019,2019-09-30
+AFL,Aflac,Net Positivity,CQ32019,0.92,3,2019,2019-09-30
+ALL,Allstate,Net Positivity,CQ32019,0.99,3,2019,2019-09-30
+AXP,American Express,Net Positivity,CQ32019,1.04,3,2019,2019-09-30
+AIG,American International Group,Net Positivity,CQ32019,1.22,3,2019,2019-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32019,1.63,3,2019,2019-09-30
+AON,Aon plc,Net Positivity,CQ32019,1.63,3,2019,2019-09-30
+BK,BNY Mellon,Net Positivity,CQ32019,0.73,3,2019,2019-09-30
+BAC,Bank of America,Net Positivity,CQ32019,0.77,3,2019,2019-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32019,,3,2019,2019-09-30
+BLK,BlackRock,Net Positivity,CQ32019,1.3,3,2019,2019-09-30
+CME,CME Group,Net Positivity,CQ32019,0.87,3,2019,2019-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32019,,3,2019,2019-09-30
+CB,Chubb Limited,Net Positivity,CQ32019,-0.12,3,2019,2019-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32019,0.6,3,2019,2019-09-30
+C,Citigroup,Net Positivity,CQ32019,0.64,3,2019,2019-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32019,1.85,3,2019,2019-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32019,1.32,3,2019,2019-09-30
+FISV,Fiserv,Net Positivity,CQ32019,1.22,3,2019,2019-09-30
+GS,Goldman Sachs,Net Positivity,CQ32019,0.83,3,2019,2019-09-30
+HIG,Hartford Financial,Net Positivity,CQ32019,-0.07,3,2019,2019-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32019,0.89,3,2019,2019-09-30
+IVZ,Invesco,Net Positivity,CQ32019,1.22,3,2019,2019-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32019,0.85,3,2019,2019-09-30
+KEY,KeyCorp,Net Positivity,CQ32019,0.35,3,2019,2019-09-30
+MA,Mastercard,Net Positivity,CQ32019,0.83,3,2019,2019-09-30
+MET,MetLife,Net Positivity,CQ32019,1.5,3,2019,2019-09-30
+MS,Morgan Stanley,Net Positivity,CQ32019,0.6,3,2019,2019-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32019,0.83,3,2019,2019-09-30
+NTRS,Northern Trust,Net Positivity,CQ32019,0.15,3,2019,2019-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32019,0.56,3,2019,2019-09-30
+PRU,Prudential Financial,Net Positivity,CQ32019,0.83,3,2019,2019-09-30
+RF,Regions Financial,Net Positivity,CQ32019,0.72,3,2019,2019-09-30
+SPGI,S&P Global,Net Positivity,CQ32019,0.99,3,2019,2019-09-30
+STT,State Street,Net Positivity,CQ32019,0.75,3,2019,2019-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32019,,3,2019,2019-09-30
+TRV,Travelers Companies,Net Positivity,CQ32019,-0.23,3,2019,2019-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32019,0.52,3,2019,2019-09-30
+V,Visa,Net Positivity,CQ32019,1.18,3,2019,2019-09-30
+WFC,Wells Fargo,Net Positivity,CQ32019,0.44,3,2019,2019-09-30
+ABBV,AbbVie,Net Positivity,CQ32019,1.16,3,2019,2019-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32019,1.41,3,2019,2019-09-30
+A,Agilent Technologies,Net Positivity,CQ32019,1.18,3,2019,2019-09-30
+AMGN,Amgen,Net Positivity,CQ32019,1.29,3,2019,2019-09-30
+BAX,Baxter International,Net Positivity,CQ32019,1.43,3,2019,2019-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32019,1.65,3,2019,2019-09-30
+BIIB,Biogen,Net Positivity,CQ32019,1.07,3,2019,2019-09-30
+BSX,Boston Scientific,Net Positivity,CQ32019,0.9,3,2019,2019-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32019,1.52,3,2019,2019-09-30
+CVS,CVS Health,Net Positivity,CQ32019,1.85,3,2019,2019-09-30
+COR,Cencora,Net Positivity,CQ32019,,3,2019,2019-09-30
+CI,Cigna,Net Positivity,CQ32019,1.5,3,2019,2019-09-30
+DVA,DaVita,Net Positivity,CQ32019,0.04,3,2019,2019-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32019,1.71,3,2019,2019-09-30
+LLY,Eli Lilly,Net Positivity,CQ32019,1.5,3,2019,2019-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32019,1.34,3,2019,2019-09-30
+HUM,Humana,Net Positivity,CQ32019,1.64,3,2019,2019-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32019,0.89,3,2019,2019-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32019,1.69,3,2019,2019-09-30
+LH,Labcorp,Net Positivity,CQ32019,0.96,3,2019,2019-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32019,1.27,3,2019,2019-09-30
+MDT,Medtronic,Net Positivity,CQ32019,1.2,3,2019,2019-09-30
+MRK,Merck & Co.,Net Positivity,CQ32019,1.37,3,2019,2019-09-30
+PFE,Pfizer,Net Positivity,CQ32019,0.77,3,2019,2019-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32019,1.52,3,2019,2019-09-30
+WAT,Waters Corporation,Net Positivity,CQ32019,1.33,3,2019,2019-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32019,1.97,3,2019,2019-09-30
+MMM,3M,Net Positivity,CQ32019,0.25,3,2019,2019-09-30
+AME,Ametek,Net Positivity,CQ32019,1.88,3,2019,2019-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32019,1.48,3,2019,2019-09-30
+BA,Boeing,Net Positivity,CQ32019,0.86,3,2019,2019-09-30
+CSX,CSX Corporation,Net Positivity,CQ32019,1.12,3,2019,2019-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32019,0.59,3,2019,2019-09-30
+CTAS,Cintas,Net Positivity,CQ32019,1.02,3,2019,2019-09-30
+CMI,Cummins,Net Positivity,CQ32019,0.21,3,2019,2019-09-30
+DE,Deere & Company,Net Positivity,CQ32019,0.42,3,2019,2019-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32019,0.08,3,2019,2019-09-30
+EMR,Emerson Electric,Net Positivity,CQ32019,0.34,3,2019,2019-09-30
+EFX,Equifax,Net Positivity,CQ32019,1.06,3,2019,2019-09-30
+EXPD,Expeditors International,Net Positivity,CQ32019,,3,2019,2019-09-30
+FDX,FedEx,Net Positivity,CQ32019,0.54,3,2019,2019-09-30
+GE,GE Aerospace,Net Positivity,CQ32019,0.68,3,2019,2019-09-30
+GD,General Dynamics,Net Positivity,CQ32019,0.71,3,2019,2019-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32019,-0.15,3,2019,2019-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32019,1.36,3,2019,2019-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32019,1.43,3,2019,2019-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32019,1.48,3,2019,2019-09-30
+PCAR,Paccar,Net Positivity,CQ32019,1.4,3,2019,2019-09-30
+RTX,RTX Corporation,Net Positivity,CQ32019,1.24,3,2019,2019-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32019,0.36,3,2019,2019-09-30
+ROP,Roper Technologies,Net Positivity,CQ32019,1.14,3,2019,2019-09-30
+SNA,Snap-on,Net Positivity,CQ32019,0.84,3,2019,2019-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32019,1.49,3,2019,2019-09-30
+UPS,United Parcel Service,Net Positivity,CQ32019,2.5,3,2019,2019-09-30
+WM,Waste Management,Net Positivity,CQ32019,1.21,3,2019,2019-09-30
+ACN,Accenture,Net Positivity,CQ32019,1.33,3,2019,2019-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32019,2.3,3,2019,2019-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32019,0.97,3,2019,2019-09-30
+APH,Amphenol,Net Positivity,CQ32019,0.87,3,2019,2019-09-30
+ADI,Analog Devices,Net Positivity,CQ32019,0.41,3,2019,2019-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32019,1.74,3,2019,2019-09-30
+AMAT,Applied Materials,Net Positivity,CQ32019,2.05,3,2019,2019-09-30
+ADSK,Autodesk,Net Positivity,CQ32019,0.69,3,2019,2019-09-30
+AVGO,Broadcom,Net Positivity,CQ32019,0.59,3,2019,2019-09-30
+CSCO,Cisco,Net Positivity,CQ32019,0.93,3,2019,2019-09-30
+CTSH,Cognizant,Net Positivity,CQ32019,1.03,3,2019,2019-09-30
+HPQ,HP Inc.,Net Positivity,CQ32019,1.77,3,2019,2019-09-30
+IBM,IBM,Net Positivity,CQ32019,1.36,3,2019,2019-09-30
+INTC,Intel,Net Positivity,CQ32019,1.5,3,2019,2019-09-30
+INTU,Intuit,Net Positivity,CQ32019,1.46,3,2019,2019-09-30
+LRCX,Lam Research,Net Positivity,CQ32019,1.15,3,2019,2019-09-30
+MU,Micron Technology,Net Positivity,CQ32019,0.8,3,2019,2019-09-30
+MSFT,Microsoft,Net Positivity,CQ32019,1.75,3,2019,2019-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32019,0.84,3,2019,2019-09-30
+NTAP,NetApp,Net Positivity,CQ32019,0.81,3,2019,2019-09-30
+NVDA,Nvidia,Net Positivity,CQ32019,1.44,3,2019,2019-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32019,0.03,3,2019,2019-09-30
+TXN,Texas Instruments,Net Positivity,CQ32019,0.77,3,2019,2019-09-30
+APD,Air Products,Net Positivity,CQ32019,1.89,3,2019,2019-09-30
+AVY,Avery Dennison,Net Positivity,CQ32019,0.65,3,2019,2019-09-30
+ECL,Ecolab,Net Positivity,CQ32019,1.81,3,2019,2019-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32019,1.19,3,2019,2019-09-30
+IP,International Paper,Net Positivity,CQ32019,0.28,3,2019,2019-09-30
+LIN,Linde plc,Net Positivity,CQ32019,0.77,3,2019,2019-09-30
+NEM,Newmont,Net Positivity,CQ32019,1.29,3,2019,2019-09-30
+NUE,Nucor,Net Positivity,CQ32019,0.77,3,2019,2019-09-30
+AMT,American Tower,Net Positivity,CQ32019,1.22,3,2019,2019-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32019,0.19,3,2019,2019-09-30
+EQR,Equity Residential,Net Positivity,CQ32019,0.79,3,2019,2019-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32019,1.33,3,2019,2019-09-30
+IRM,Iron Mountain,Net Positivity,CQ32019,1.23,3,2019,2019-09-30
+PLD,Prologis,Net Positivity,CQ32019,0.51,3,2019,2019-09-30
+VTR,Ventas,Net Positivity,CQ32019,1.56,3,2019,2019-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32019,0.3,3,2019,2019-09-30
+AES,AES Corporation,Net Positivity,CQ32019,1.18,3,2019,2019-09-30
+AEE,Ameren,Net Positivity,CQ32019,0.76,3,2019,2019-09-30
+AEP,American Electric Power,Net Positivity,CQ32019,0.88,3,2019,2019-09-30
+CMS,CMS Energy,Net Positivity,CQ32019,1.14,3,2019,2019-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32019,1.26,3,2019,2019-09-30
+DUK,Duke Energy,Net Positivity,CQ32019,0.84,3,2019,2019-09-30
+EIX,Edison International,Net Positivity,CQ32019,0.06,3,2019,2019-09-30
+ETR,Entergy,Net Positivity,CQ32019,1.44,3,2019,2019-09-30
+EXC,Exelon,Net Positivity,CQ32019,-0.12,3,2019,2019-09-30
+NEE,NextEra Energy,Net Positivity,CQ32019,1.41,3,2019,2019-09-30
+SO,Southern Company,Net Positivity,CQ32019,0.88,3,2019,2019-09-30
+XEL,Xcel Energy,Net Positivity,CQ32019,1.21,3,2019,2019-09-30
+T,AT&T,Numeric Transeprency,CQ32019,1.68,3,2019,2019-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32019,1.4,3,2019,2019-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32019,,3,2019,2019-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32019,1.3,3,2019,2019-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32019,1.06,3,2019,2019-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32019,3.62,3,2019,2019-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32019,3.27,3,2019,2019-09-30
+VZ,Verizon,Numeric Transeprency,CQ32019,2.4,3,2019,2019-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32019,0.95,3,2019,2019-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32019,2.03,3,2019,2019-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32019,1.78,3,2019,2019-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32019,1.51,3,2019,2019-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32019,1.56,3,2019,2019-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32019,1.48,3,2019,2019-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32019,2.37,3,2019,2019-09-30
+GM,General Motors,Numeric Transeprency,CQ32019,1.64,3,2019,2019-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32019,3.12,3,2019,2019-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32019,1.38,3,2019,2019-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32019,1.48,3,2019,2019-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32019,1.82,3,2019,2019-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32019,1.48,3,2019,2019-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32019,2.01,3,2019,2019-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32019,1.88,3,2019,2019-09-30
+TGT,Target,Numeric Transeprency,CQ32019,1.55,3,2019,2019-09-30
+MO,Altria,Numeric Transeprency,CQ32019,2.29,3,2019,2019-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32019,2.52,3,2019,2019-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32019,1.14,3,2019,2019-09-30
+CLX,Clorox,Numeric Transeprency,CQ32019,2.16,3,2019,2019-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32019,1.32,3,2019,2019-09-30
+COST,Costco,Numeric Transeprency,CQ32019,,3,2019,2019-09-30
+GIS,General Mills,Numeric Transeprency,CQ32019,2.04,3,2019,2019-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32019,1.7,3,2019,2019-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32019,1.39,3,2019,2019-09-30
+KR,Kroger,Numeric Transeprency,CQ32019,1.67,3,2019,2019-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32019,,3,2019,2019-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32019,0.77,3,2019,2019-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32019,1.84,3,2019,2019-09-30
+SYY,Sysco,Numeric Transeprency,CQ32019,1.96,3,2019,2019-09-30
+WMT,Walmart,Numeric Transeprency,CQ32019,,3,2019,2019-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32019,1.95,3,2019,2019-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32019,,3,2019,2019-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32019,3.31,3,2019,2019-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32019,2.22,3,2019,2019-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32019,1.84,3,2019,2019-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32019,1.37,3,2019,2019-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32019,2.13,3,2019,2019-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32019,1.66,3,2019,2019-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32019,2.36,3,2019,2019-09-30
+AFL,Aflac,Numeric Transeprency,CQ32019,1.48,3,2019,2019-09-30
+ALL,Allstate,Numeric Transeprency,CQ32019,2.45,3,2019,2019-09-30
+AXP,American Express,Numeric Transeprency,CQ32019,2.23,3,2019,2019-09-30
+AIG,American International Group,Numeric Transeprency,CQ32019,3.38,3,2019,2019-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32019,1.77,3,2019,2019-09-30
+AON,Aon plc,Numeric Transeprency,CQ32019,1.8,3,2019,2019-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32019,1.38,3,2019,2019-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32019,3.3,3,2019,2019-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32019,,3,2019,2019-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32019,1.77,3,2019,2019-09-30
+CME,CME Group,Numeric Transeprency,CQ32019,1.58,3,2019,2019-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32019,,3,2019,2019-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32019,2.25,3,2019,2019-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32019,2.03,3,2019,2019-09-30
+C,Citigroup,Numeric Transeprency,CQ32019,2.14,3,2019,2019-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32019,2.31,3,2019,2019-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32019,3.23,3,2019,2019-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32019,2.58,3,2019,2019-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32019,2.02,3,2019,2019-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32019,2.45,3,2019,2019-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32019,2.05,3,2019,2019-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32019,1.93,3,2019,2019-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32019,2.72,3,2019,2019-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32019,3.13,3,2019,2019-09-30
+MA,Mastercard,Numeric Transeprency,CQ32019,1.72,3,2019,2019-09-30
+MET,MetLife,Numeric Transeprency,CQ32019,3.33,3,2019,2019-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32019,2.17,3,2019,2019-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32019,2.09,3,2019,2019-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32019,3.02,3,2019,2019-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32019,2.1,3,2019,2019-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32019,1.71,3,2019,2019-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32019,2.44,3,2019,2019-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32019,2.68,3,2019,2019-09-30
+STT,State Street,Numeric Transeprency,CQ32019,1.85,3,2019,2019-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32019,,3,2019,2019-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32019,2.22,3,2019,2019-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32019,1.99,3,2019,2019-09-30
+V,Visa,Numeric Transeprency,CQ32019,2.37,3,2019,2019-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32019,2.42,3,2019,2019-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32019,1.88,3,2019,2019-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32019,1.36,3,2019,2019-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32019,1.56,3,2019,2019-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32019,2.18,3,2019,2019-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32019,2.0,3,2019,2019-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32019,1.77,3,2019,2019-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32019,2.77,3,2019,2019-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32019,3.33,3,2019,2019-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32019,1.49,3,2019,2019-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32019,1.76,3,2019,2019-09-30
+COR,Cencora,Numeric Transeprency,CQ32019,,3,2019,2019-09-30
+CI,Cigna,Numeric Transeprency,CQ32019,2.7,3,2019,2019-09-30
+DVA,DaVita,Numeric Transeprency,CQ32019,1.87,3,2019,2019-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32019,1.18,3,2019,2019-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32019,2.4,3,2019,2019-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32019,1.26,3,2019,2019-09-30
+HUM,Humana,Numeric Transeprency,CQ32019,1.89,3,2019,2019-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32019,3.32,3,2019,2019-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32019,2.69,3,2019,2019-09-30
+LH,Labcorp,Numeric Transeprency,CQ32019,2.73,3,2019,2019-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32019,1.79,3,2019,2019-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32019,1.92,3,2019,2019-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32019,1.45,3,2019,2019-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32019,2.23,3,2019,2019-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32019,2.34,3,2019,2019-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32019,1.96,3,2019,2019-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32019,1.03,3,2019,2019-09-30
+MMM,3M,Numeric Transeprency,CQ32019,2.27,3,2019,2019-09-30
+AME,Ametek,Numeric Transeprency,CQ32019,2.84,3,2019,2019-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32019,2.58,3,2019,2019-09-30
+BA,Boeing,Numeric Transeprency,CQ32019,2.12,3,2019,2019-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32019,1.58,3,2019,2019-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32019,2.44,3,2019,2019-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32019,2.58,3,2019,2019-09-30
+CMI,Cummins,Numeric Transeprency,CQ32019,2.6,3,2019,2019-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32019,2.64,3,2019,2019-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32019,1.91,3,2019,2019-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32019,2.7,3,2019,2019-09-30
+EFX,Equifax,Numeric Transeprency,CQ32019,2.87,3,2019,2019-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32019,,3,2019,2019-09-30
+FDX,FedEx,Numeric Transeprency,CQ32019,1.88,3,2019,2019-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32019,3.82,3,2019,2019-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32019,4.43,3,2019,2019-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32019,2.6,3,2019,2019-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32019,2.45,3,2019,2019-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32019,1.78,3,2019,2019-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32019,2.27,3,2019,2019-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32019,2.16,3,2019,2019-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32019,2.53,3,2019,2019-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32019,1.99,3,2019,2019-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32019,2.04,3,2019,2019-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32019,2.72,3,2019,2019-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32019,2.55,3,2019,2019-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32019,1.78,3,2019,2019-09-30
+WM,Waste Management,Numeric Transeprency,CQ32019,2.28,3,2019,2019-09-30
+ACN,Accenture,Numeric Transeprency,CQ32019,3.28,3,2019,2019-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32019,1.62,3,2019,2019-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32019,2.22,3,2019,2019-09-30
+APH,Amphenol,Numeric Transeprency,CQ32019,1.59,3,2019,2019-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32019,1.78,3,2019,2019-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32019,2.49,3,2019,2019-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32019,1.81,3,2019,2019-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32019,1.89,3,2019,2019-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32019,2.65,3,2019,2019-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32019,2.35,3,2019,2019-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32019,1.58,3,2019,2019-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32019,2.24,3,2019,2019-09-30
+IBM,IBM,Numeric Transeprency,CQ32019,2.16,3,2019,2019-09-30
+INTC,Intel,Numeric Transeprency,CQ32019,2.43,3,2019,2019-09-30
+INTU,Intuit,Numeric Transeprency,CQ32019,2.13,3,2019,2019-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32019,1.71,3,2019,2019-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32019,3.44,3,2019,2019-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32019,3.51,3,2019,2019-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32019,3.4,3,2019,2019-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32019,2.12,3,2019,2019-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32019,1.53,3,2019,2019-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32019,2.01,3,2019,2019-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32019,2.28,3,2019,2019-09-30
+APD,Air Products,Numeric Transeprency,CQ32019,3.81,3,2019,2019-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32019,1.22,3,2019,2019-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32019,1.48,3,2019,2019-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32019,2.2,3,2019,2019-09-30
+IP,International Paper,Numeric Transeprency,CQ32019,1.27,3,2019,2019-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32019,1.99,3,2019,2019-09-30
+NEM,Newmont,Numeric Transeprency,CQ32019,2.37,3,2019,2019-09-30
+NUE,Nucor,Numeric Transeprency,CQ32019,1.75,3,2019,2019-09-30
+AMT,American Tower,Numeric Transeprency,CQ32019,2.77,3,2019,2019-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32019,3.1,3,2019,2019-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32019,1.87,3,2019,2019-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32019,3.01,3,2019,2019-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32019,2.54,3,2019,2019-09-30
+PLD,Prologis,Numeric Transeprency,CQ32019,2.6,3,2019,2019-09-30
+VTR,Ventas,Numeric Transeprency,CQ32019,3.0,3,2019,2019-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32019,1.65,3,2019,2019-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32019,3.07,3,2019,2019-09-30
+AEE,Ameren,Numeric Transeprency,CQ32019,2.42,3,2019,2019-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32019,3.02,3,2019,2019-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32019,2.35,3,2019,2019-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32019,3.0,3,2019,2019-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32019,2.23,3,2019,2019-09-30
+EIX,Edison International,Numeric Transeprency,CQ32019,3.1,3,2019,2019-09-30
+ETR,Entergy,Numeric Transeprency,CQ32019,2.02,3,2019,2019-09-30
+EXC,Exelon,Numeric Transeprency,CQ32019,2.75,3,2019,2019-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32019,3.23,3,2019,2019-09-30
+SO,Southern Company,Numeric Transeprency,CQ32019,1.95,3,2019,2019-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32019,2.67,3,2019,2019-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32019,34.62,3,2019,2019-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32019,24.32,3,2019,2019-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32019,,3,2019,2019-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32019,25.0,3,2019,2019-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32019,2.7,3,2019,2019-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32019,18.18,3,2019,2019-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32019,30.77,3,2019,2019-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32019,38.46,3,2019,2019-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32019,20.93,3,2019,2019-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32019,30.43,3,2019,2019-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32019,32.26,3,2019,2019-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32019,36.67,3,2019,2019-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32019,29.41,3,2019,2019-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32019,41.38,3,2019,2019-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32019,27.27,3,2019,2019-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32019,61.54,3,2019,2019-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32019,66.67,3,2019,2019-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32019,22.22,3,2019,2019-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32019,26.67,3,2019,2019-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32019,15.63,3,2019,2019-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32019,69.23,3,2019,2019-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32019,33.33,3,2019,2019-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32019,24.14,3,2019,2019-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32019,60.0,3,2019,2019-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32019,33.33,3,2019,2019-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32019,31.58,3,2019,2019-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32019,58.82,3,2019,2019-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32019,45.83,3,2019,2019-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32019,,3,2019,2019-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32019,60.0,3,2019,2019-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32019,70.59,3,2019,2019-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32019,61.11,3,2019,2019-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32019,20.69,3,2019,2019-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32019,,3,2019,2019-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32019,65.0,3,2019,2019-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32019,78.26,3,2019,2019-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32019,,3,2019,2019-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32019,34.62,3,2019,2019-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32019,,3,2019,2019-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32019,14.81,3,2019,2019-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32019,21.21,3,2019,2019-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32019,40.0,3,2019,2019-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32019,22.58,3,2019,2019-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32019,41.67,3,2019,2019-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32019,21.88,3,2019,2019-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32019,43.75,3,2019,2019-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32019,53.33,3,2019,2019-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32019,21.05,3,2019,2019-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32019,32.14,3,2019,2019-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32019,33.33,3,2019,2019-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32019,35.0,3,2019,2019-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32019,52.38,3,2019,2019-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32019,40.0,3,2019,2019-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32019,,3,2019,2019-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32019,26.67,3,2019,2019-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32019,52.94,3,2019,2019-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32019,,3,2019,2019-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32019,38.1,3,2019,2019-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32019,44.0,3,2019,2019-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32019,25.0,3,2019,2019-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32019,45.0,3,2019,2019-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32019,42.31,3,2019,2019-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32019,44.44,3,2019,2019-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32019,73.33,3,2019,2019-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32019,30.77,3,2019,2019-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32019,37.5,3,2019,2019-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32019,30.56,3,2019,2019-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32019,31.58,3,2019,2019-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32019,29.63,3,2019,2019-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32019,75.0,3,2019,2019-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32019,55.0,3,2019,2019-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32019,43.48,3,2019,2019-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32019,42.11,3,2019,2019-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32019,40.0,3,2019,2019-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32019,52.38,3,2019,2019-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32019,,3,2019,2019-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32019,40.91,3,2019,2019-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32019,33.33,3,2019,2019-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32019,28.57,3,2019,2019-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32019,30.77,3,2019,2019-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32019,54.55,3,2019,2019-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32019,20.0,3,2019,2019-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32019,53.33,3,2019,2019-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32019,59.09,3,2019,2019-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32019,35.29,3,2019,2019-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32019,47.37,3,2019,2019-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32019,37.93,3,2019,2019-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32019,36.36,3,2019,2019-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32019,72.73,3,2019,2019-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32019,45.83,3,2019,2019-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32019,,3,2019,2019-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32019,57.14,3,2019,2019-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32019,63.64,3,2019,2019-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32019,23.53,3,2019,2019-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32019,69.23,3,2019,2019-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32019,41.67,3,2019,2019-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32019,55.0,3,2019,2019-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32019,44.44,3,2019,2019-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32019,42.11,3,2019,2019-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32019,52.38,3,2019,2019-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32019,52.94,3,2019,2019-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32019,34.62,3,2019,2019-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32019,73.33,3,2019,2019-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32019,66.67,3,2019,2019-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32019,66.67,3,2019,2019-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32019,40.0,3,2019,2019-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32019,48.28,3,2019,2019-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32019,66.67,3,2019,2019-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32019,64.29,3,2019,2019-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32019,35.29,3,2019,2019-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32019,42.86,3,2019,2019-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32019,56.0,3,2019,2019-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32019,37.04,3,2019,2019-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32019,66.67,3,2019,2019-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32019,40.0,3,2019,2019-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32019,60.87,3,2019,2019-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32019,45.83,3,2019,2019-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32019,54.55,3,2019,2019-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32019,61.11,3,2019,2019-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32019,,3,2019,2019-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32019,35.71,3,2019,2019-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32019,56.25,3,2019,2019-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32019,41.18,3,2019,2019-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32019,42.86,3,2019,2019-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32019,52.17,3,2019,2019-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32019,64.71,3,2019,2019-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32019,65.22,3,2019,2019-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32019,30.43,3,2019,2019-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32019,41.67,3,2019,2019-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32019,75.0,3,2019,2019-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32019,55.56,3,2019,2019-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32019,25.93,3,2019,2019-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32019,66.67,3,2019,2019-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32019,33.33,3,2019,2019-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32019,39.29,3,2019,2019-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32019,54.55,3,2019,2019-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32019,84.62,3,2019,2019-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32019,30.43,3,2019,2019-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32019,17.5,3,2019,2019-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32019,30.77,3,2019,2019-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32019,41.67,3,2019,2019-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32019,25.0,3,2019,2019-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32019,33.33,3,2019,2019-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32019,25.93,3,2019,2019-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32019,35.29,3,2019,2019-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32019,33.33,3,2019,2019-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32019,24.32,3,2019,2019-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32019,52.38,3,2019,2019-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32019,52.38,3,2019,2019-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32019,38.71,3,2019,2019-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32019,25.0,3,2019,2019-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32019,51.72,3,2019,2019-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32019,23.08,3,2019,2019-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32019,18.75,3,2019,2019-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32019,25.81,3,2019,2019-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32019,47.62,3,2019,2019-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32019,60.0,3,2019,2019-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32019,56.52,3,2019,2019-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32019,69.23,3,2019,2019-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32019,46.67,3,2019,2019-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32019,35.71,3,2019,2019-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32019,53.85,3,2019,2019-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32019,12.5,3,2019,2019-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32019,12.5,3,2019,2019-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32019,22.22,3,2019,2019-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32019,66.67,3,2019,2019-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32019,87.5,3,2019,2019-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32019,12.5,3,2019,2019-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32019,75.0,3,2019,2019-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32019,45.45,3,2019,2019-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32019,50.0,3,2019,2019-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32019,35.29,3,2019,2019-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32019,29.41,3,2019,2019-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32019,46.67,3,2019,2019-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32019,44.44,3,2019,2019-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32019,60.0,3,2019,2019-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32019,30.77,3,2019,2019-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32019,27.78,3,2019,2019-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32019,29.41,3,2019,2019-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32019,44.44,3,2019,2019-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32019,8.33,3,2019,2019-09-30
+T,AT&T,Language Complexity,CQ32019,10.84,3,2019,2019-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32019,12.46,3,2019,2019-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32019,,3,2019,2019-09-30
+META,Meta Platforms,Language Complexity,CQ32019,12.22,3,2019,2019-09-30
+NFLX,Netflix,Language Complexity,CQ32019,11.52,3,2019,2019-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32019,15.95,3,2019,2019-09-30
+OMC,Omnicom Group,Language Complexity,CQ32019,13.01,3,2019,2019-09-30
+VZ,Verizon,Language Complexity,CQ32019,11.52,3,2019,2019-09-30
+AMZN,Amazon,Language Complexity,CQ32019,12.66,3,2019,2019-09-30
+AZO,AutoZone,Language Complexity,CQ32019,13.28,3,2019,2019-09-30
+BBY,Best Buy,Language Complexity,CQ32019,13.32,3,2019,2019-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32019,11.71,3,2019,2019-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32019,12.06,3,2019,2019-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32019,11.89,3,2019,2019-09-30
+F,Ford Motor Company,Language Complexity,CQ32019,11.78,3,2019,2019-09-30
+GM,General Motors,Language Complexity,CQ32019,11.33,3,2019,2019-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32019,12.45,3,2019,2019-09-30
+HAS,Hasbro,Language Complexity,CQ32019,11.98,3,2019,2019-09-30
+LOW,Lowe's,Language Complexity,CQ32019,13.64,3,2019,2019-09-30
+MCD,McDonald's,Language Complexity,CQ32019,12.38,3,2019,2019-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32019,13.37,3,2019,2019-09-30
+ROST,Ross Stores,Language Complexity,CQ32019,10.2,3,2019,2019-09-30
+TJX,TJX Companies,Language Complexity,CQ32019,11.26,3,2019,2019-09-30
+TGT,Target,Language Complexity,CQ32019,13.84,3,2019,2019-09-30
+MO,Altria,Language Complexity,CQ32019,12.8,3,2019,2019-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32019,12.53,3,2019,2019-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32019,13.11,3,2019,2019-09-30
+CLX,Clorox,Language Complexity,CQ32019,11.99,3,2019,2019-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32019,12.97,3,2019,2019-09-30
+COST,Costco,Language Complexity,CQ32019,,3,2019,2019-09-30
+GIS,General Mills,Language Complexity,CQ32019,11.0,3,2019,2019-09-30
+HSY,Hershey Company,Language Complexity,CQ32019,11.95,3,2019,2019-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32019,11.18,3,2019,2019-09-30
+KR,Kroger,Language Complexity,CQ32019,13.74,3,2019,2019-09-30
+MKC,McCormick & Company,Language Complexity,CQ32019,,3,2019,2019-09-30
+PEP,PepsiCo,Language Complexity,CQ32019,12.76,3,2019,2019-09-30
+PG,Procter & Gamble,Language Complexity,CQ32019,12.7,3,2019,2019-09-30
+SYY,Sysco,Language Complexity,CQ32019,13.34,3,2019,2019-09-30
+WMT,Walmart,Language Complexity,CQ32019,,3,2019,2019-09-30
+APA,APA Corporation,Language Complexity,CQ32019,12.11,3,2019,2019-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32019,,3,2019,2019-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32019,11.78,3,2019,2019-09-30
+EOG,EOG Resources,Language Complexity,CQ32019,12.51,3,2019,2019-09-30
+XOM,ExxonMobil,Language Complexity,CQ32019,12.15,3,2019,2019-09-30
+HAL,Halliburton,Language Complexity,CQ32019,12.73,3,2019,2019-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32019,13.46,3,2019,2019-09-30
+SLB,Schlumberger,Language Complexity,CQ32019,14.03,3,2019,2019-09-30
+VLO,Valero Energy,Language Complexity,CQ32019,10.53,3,2019,2019-09-30
+AFL,Aflac,Language Complexity,CQ32019,12.05,3,2019,2019-09-30
+ALL,Allstate,Language Complexity,CQ32019,13.08,3,2019,2019-09-30
+AXP,American Express,Language Complexity,CQ32019,13.27,3,2019,2019-09-30
+AIG,American International Group,Language Complexity,CQ32019,15.03,3,2019,2019-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32019,11.38,3,2019,2019-09-30
+AON,Aon plc,Language Complexity,CQ32019,13.72,3,2019,2019-09-30
+BK,BNY Mellon,Language Complexity,CQ32019,12.35,3,2019,2019-09-30
+BAC,Bank of America,Language Complexity,CQ32019,11.14,3,2019,2019-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32019,,3,2019,2019-09-30
+BLK,BlackRock,Language Complexity,CQ32019,16.29,3,2019,2019-09-30
+CME,CME Group,Language Complexity,CQ32019,11.21,3,2019,2019-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32019,,3,2019,2019-09-30
+CB,Chubb Limited,Language Complexity,CQ32019,11.47,3,2019,2019-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32019,11.29,3,2019,2019-09-30
+C,Citigroup,Language Complexity,CQ32019,12.63,3,2019,2019-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32019,11.54,3,2019,2019-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32019,13.45,3,2019,2019-09-30
+FISV,Fiserv,Language Complexity,CQ32019,13.02,3,2019,2019-09-30
+GS,Goldman Sachs,Language Complexity,CQ32019,13.53,3,2019,2019-09-30
+HIG,Hartford Financial,Language Complexity,CQ32019,12.2,3,2019,2019-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32019,13.38,3,2019,2019-09-30
+IVZ,Invesco,Language Complexity,CQ32019,12.02,3,2019,2019-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32019,11.43,3,2019,2019-09-30
+KEY,KeyCorp,Language Complexity,CQ32019,12.02,3,2019,2019-09-30
+MA,Mastercard,Language Complexity,CQ32019,12.09,3,2019,2019-09-30
+MET,MetLife,Language Complexity,CQ32019,12.19,3,2019,2019-09-30
+MS,Morgan Stanley,Language Complexity,CQ32019,11.11,3,2019,2019-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32019,13.86,3,2019,2019-09-30
+NTRS,Northern Trust,Language Complexity,CQ32019,12.05,3,2019,2019-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32019,10.95,3,2019,2019-09-30
+PRU,Prudential Financial,Language Complexity,CQ32019,13.22,3,2019,2019-09-30
+RF,Regions Financial,Language Complexity,CQ32019,12.0,3,2019,2019-09-30
+SPGI,S&P Global,Language Complexity,CQ32019,12.63,3,2019,2019-09-30
+STT,State Street,Language Complexity,CQ32019,12.79,3,2019,2019-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32019,,3,2019,2019-09-30
+TRV,Travelers Companies,Language Complexity,CQ32019,13.56,3,2019,2019-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32019,11.37,3,2019,2019-09-30
+V,Visa,Language Complexity,CQ32019,13.5,3,2019,2019-09-30
+WFC,Wells Fargo,Language Complexity,CQ32019,13.83,3,2019,2019-09-30
+ABBV,AbbVie,Language Complexity,CQ32019,13.09,3,2019,2019-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32019,11.46,3,2019,2019-09-30
+A,Agilent Technologies,Language Complexity,CQ32019,10.8,3,2019,2019-09-30
+AMGN,Amgen,Language Complexity,CQ32019,12.8,3,2019,2019-09-30
+BAX,Baxter International,Language Complexity,CQ32019,12.54,3,2019,2019-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32019,11.05,3,2019,2019-09-30
+BIIB,Biogen,Language Complexity,CQ32019,14.37,3,2019,2019-09-30
+BSX,Boston Scientific,Language Complexity,CQ32019,12.39,3,2019,2019-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32019,12.65,3,2019,2019-09-30
+CVS,CVS Health,Language Complexity,CQ32019,12.88,3,2019,2019-09-30
+COR,Cencora,Language Complexity,CQ32019,,3,2019,2019-09-30
+CI,Cigna,Language Complexity,CQ32019,14.55,3,2019,2019-09-30
+DVA,DaVita,Language Complexity,CQ32019,10.48,3,2019,2019-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32019,12.23,3,2019,2019-09-30
+LLY,Eli Lilly,Language Complexity,CQ32019,12.65,3,2019,2019-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32019,13.03,3,2019,2019-09-30
+HUM,Humana,Language Complexity,CQ32019,14.09,3,2019,2019-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32019,12.91,3,2019,2019-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32019,13.17,3,2019,2019-09-30
+LH,Labcorp,Language Complexity,CQ32019,13.42,3,2019,2019-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32019,14.3,3,2019,2019-09-30
+MDT,Medtronic,Language Complexity,CQ32019,12.19,3,2019,2019-09-30
+MRK,Merck & Co.,Language Complexity,CQ32019,12.12,3,2019,2019-09-30
+PFE,Pfizer,Language Complexity,CQ32019,12.82,3,2019,2019-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32019,12.54,3,2019,2019-09-30
+WAT,Waters Corporation,Language Complexity,CQ32019,13.25,3,2019,2019-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32019,11.42,3,2019,2019-09-30
+MMM,3M,Language Complexity,CQ32019,11.14,3,2019,2019-09-30
+AME,Ametek,Language Complexity,CQ32019,10.82,3,2019,2019-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32019,12.96,3,2019,2019-09-30
+BA,Boeing,Language Complexity,CQ32019,14.21,3,2019,2019-09-30
+CSX,CSX Corporation,Language Complexity,CQ32019,11.83,3,2019,2019-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32019,11.37,3,2019,2019-09-30
+CTAS,Cintas,Language Complexity,CQ32019,10.2,3,2019,2019-09-30
+CMI,Cummins,Language Complexity,CQ32019,12.0,3,2019,2019-09-30
+DE,Deere & Company,Language Complexity,CQ32019,12.08,3,2019,2019-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32019,11.02,3,2019,2019-09-30
+EMR,Emerson Electric,Language Complexity,CQ32019,10.02,3,2019,2019-09-30
+EFX,Equifax,Language Complexity,CQ32019,13.61,3,2019,2019-09-30
+EXPD,Expeditors International,Language Complexity,CQ32019,,3,2019,2019-09-30
+FDX,FedEx,Language Complexity,CQ32019,12.83,3,2019,2019-09-30
+GE,GE Aerospace,Language Complexity,CQ32019,12.1,3,2019,2019-09-30
+GD,General Dynamics,Language Complexity,CQ32019,10.87,3,2019,2019-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32019,11.86,3,2019,2019-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32019,12.24,3,2019,2019-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32019,11.61,3,2019,2019-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32019,12.54,3,2019,2019-09-30
+PCAR,Paccar,Language Complexity,CQ32019,10.57,3,2019,2019-09-30
+RTX,RTX Corporation,Language Complexity,CQ32019,10.8,3,2019,2019-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32019,11.39,3,2019,2019-09-30
+ROP,Roper Technologies,Language Complexity,CQ32019,11.38,3,2019,2019-09-30
+SNA,Snap-on,Language Complexity,CQ32019,11.49,3,2019,2019-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32019,13.32,3,2019,2019-09-30
+UPS,United Parcel Service,Language Complexity,CQ32019,12.43,3,2019,2019-09-30
+WM,Waste Management,Language Complexity,CQ32019,11.69,3,2019,2019-09-30
+ACN,Accenture,Language Complexity,CQ32019,12.74,3,2019,2019-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32019,14.32,3,2019,2019-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32019,11.97,3,2019,2019-09-30
+APH,Amphenol,Language Complexity,CQ32019,13.92,3,2019,2019-09-30
+ADI,Analog Devices,Language Complexity,CQ32019,11.98,3,2019,2019-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32019,12.36,3,2019,2019-09-30
+AMAT,Applied Materials,Language Complexity,CQ32019,12.71,3,2019,2019-09-30
+ADSK,Autodesk,Language Complexity,CQ32019,12.3,3,2019,2019-09-30
+AVGO,Broadcom,Language Complexity,CQ32019,13.53,3,2019,2019-09-30
+CSCO,Cisco,Language Complexity,CQ32019,11.57,3,2019,2019-09-30
+CTSH,Cognizant,Language Complexity,CQ32019,15.67,3,2019,2019-09-30
+HPQ,HP Inc.,Language Complexity,CQ32019,13.58,3,2019,2019-09-30
+IBM,IBM,Language Complexity,CQ32019,13.77,3,2019,2019-09-30
+INTC,Intel,Language Complexity,CQ32019,12.5,3,2019,2019-09-30
+INTU,Intuit,Language Complexity,CQ32019,12.11,3,2019,2019-09-30
+LRCX,Lam Research,Language Complexity,CQ32019,12.48,3,2019,2019-09-30
+MU,Micron Technology,Language Complexity,CQ32019,13.62,3,2019,2019-09-30
+MSFT,Microsoft,Language Complexity,CQ32019,13.89,3,2019,2019-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32019,11.94,3,2019,2019-09-30
+NTAP,NetApp,Language Complexity,CQ32019,12.29,3,2019,2019-09-30
+NVDA,Nvidia,Language Complexity,CQ32019,12.08,3,2019,2019-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32019,11.16,3,2019,2019-09-30
+TXN,Texas Instruments,Language Complexity,CQ32019,10.96,3,2019,2019-09-30
+APD,Air Products,Language Complexity,CQ32019,11.26,3,2019,2019-09-30
+AVY,Avery Dennison,Language Complexity,CQ32019,13.37,3,2019,2019-09-30
+ECL,Ecolab,Language Complexity,CQ32019,11.14,3,2019,2019-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32019,13.68,3,2019,2019-09-30
+IP,International Paper,Language Complexity,CQ32019,12.17,3,2019,2019-09-30
+LIN,Linde plc,Language Complexity,CQ32019,11.42,3,2019,2019-09-30
+NEM,Newmont,Language Complexity,CQ32019,13.11,3,2019,2019-09-30
+NUE,Nucor,Language Complexity,CQ32019,11.95,3,2019,2019-09-30
+AMT,American Tower,Language Complexity,CQ32019,14.0,3,2019,2019-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32019,11.31,3,2019,2019-09-30
+EQR,Equity Residential,Language Complexity,CQ32019,11.85,3,2019,2019-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32019,11.06,3,2019,2019-09-30
+IRM,Iron Mountain,Language Complexity,CQ32019,13.5,3,2019,2019-09-30
+PLD,Prologis,Language Complexity,CQ32019,10.22,3,2019,2019-09-30
+VTR,Ventas,Language Complexity,CQ32019,11.77,3,2019,2019-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32019,10.77,3,2019,2019-09-30
+AES,AES Corporation,Language Complexity,CQ32019,13.03,3,2019,2019-09-30
+AEE,Ameren,Language Complexity,CQ32019,14.43,3,2019,2019-09-30
+AEP,American Electric Power,Language Complexity,CQ32019,13.08,3,2019,2019-09-30
+CMS,CMS Energy,Language Complexity,CQ32019,12.72,3,2019,2019-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32019,13.05,3,2019,2019-09-30
+DUK,Duke Energy,Language Complexity,CQ32019,13.23,3,2019,2019-09-30
+EIX,Edison International,Language Complexity,CQ32019,13.89,3,2019,2019-09-30
+ETR,Entergy,Language Complexity,CQ32019,14.18,3,2019,2019-09-30
+EXC,Exelon,Language Complexity,CQ32019,13.08,3,2019,2019-09-30
+NEE,NextEra Energy,Language Complexity,CQ32019,16.62,3,2019,2019-09-30
+SO,Southern Company,Language Complexity,CQ32019,11.1,3,2019,2019-09-30
+XEL,Xcel Energy,Language Complexity,CQ32019,12.61,3,2019,2019-09-30
+T,AT&T,Net Positivity,CQ42019,1.52,4,2019,2019-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42019,1.78,4,2019,2019-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42019,,4,2019,2019-12-31
+META,Meta Platforms,Net Positivity,CQ42019,0.95,4,2019,2019-12-31
+NFLX,Netflix,Net Positivity,CQ42019,1.66,4,2019,2019-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42019,0.3,4,2019,2019-12-31
+OMC,Omnicom Group,Net Positivity,CQ42019,0.84,4,2019,2019-12-31
+VZ,Verizon,Net Positivity,CQ42019,1.74,4,2019,2019-12-31
+AMZN,Amazon,Net Positivity,CQ42019,1.09,4,2019,2019-12-31
+AZO,AutoZone,Net Positivity,CQ42019,1.43,4,2019,2019-12-31
+BBY,Best Buy,Net Positivity,CQ42019,1.7,4,2019,2019-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42019,1.24,4,2019,2019-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42019,2.09,4,2019,2019-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42019,1.74,4,2019,2019-12-31
+F,Ford Motor Company,Net Positivity,CQ42019,1.06,4,2019,2019-12-31
+GM,General Motors,Net Positivity,CQ42019,0.63,4,2019,2019-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42019,1.94,4,2019,2019-12-31
+HAS,Hasbro,Net Positivity,CQ42019,0.56,4,2019,2019-12-31
+LOW,Lowe's,Net Positivity,CQ42019,2.31,4,2019,2019-12-31
+MCD,McDonald's,Net Positivity,CQ42019,1.66,4,2019,2019-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42019,3.0,4,2019,2019-12-31
+ROST,Ross Stores,Net Positivity,CQ42019,1.34,4,2019,2019-12-31
+TJX,TJX Companies,Net Positivity,CQ42019,1.62,4,2019,2019-12-31
+TGT,Target,Net Positivity,CQ42019,2.24,4,2019,2019-12-31
+MO,Altria,Net Positivity,CQ42019,0.68,4,2019,2019-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42019,0.61,4,2019,2019-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42019,0.55,4,2019,2019-12-31
+CLX,Clorox,Net Positivity,CQ42019,1.31,4,2019,2019-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42019,1.31,4,2019,2019-12-31
+COST,Costco,Net Positivity,CQ42019,0.73,4,2019,2019-12-31
+GIS,General Mills,Net Positivity,CQ42019,2.13,4,2019,2019-12-31
+HSY,Hershey Company,Net Positivity,CQ42019,1.21,4,2019,2019-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42019,1.55,4,2019,2019-12-31
+KR,Kroger,Net Positivity,CQ42019,1.96,4,2019,2019-12-31
+MKC,McCormick & Company,Net Positivity,CQ42019,1.35,4,2019,2019-12-31
+PEP,PepsiCo,Net Positivity,CQ42019,2.42,4,2019,2019-12-31
+PG,Procter & Gamble,Net Positivity,CQ42019,1.69,4,2019,2019-12-31
+SYY,Sysco,Net Positivity,CQ42019,1.12,4,2019,2019-12-31
+WMT,Walmart,Net Positivity,CQ42019,,4,2019,2019-12-31
+APA,APA Corporation,Net Positivity,CQ42019,0.83,4,2019,2019-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42019,,4,2019,2019-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42019,0.35,4,2019,2019-12-31
+EOG,EOG Resources,Net Positivity,CQ42019,1.81,4,2019,2019-12-31
+XOM,ExxonMobil,Net Positivity,CQ42019,1.25,4,2019,2019-12-31
+HAL,Halliburton,Net Positivity,CQ42019,1.04,4,2019,2019-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42019,2.04,4,2019,2019-12-31
+SLB,Schlumberger,Net Positivity,CQ42019,0.55,4,2019,2019-12-31
+VLO,Valero Energy,Net Positivity,CQ42019,0.42,4,2019,2019-12-31
+AFL,Aflac,Net Positivity,CQ42019,0.56,4,2019,2019-12-31
+ALL,Allstate,Net Positivity,CQ42019,0.28,4,2019,2019-12-31
+AXP,American Express,Net Positivity,CQ42019,1.01,4,2019,2019-12-31
+AIG,American International Group,Net Positivity,CQ42019,0.45,4,2019,2019-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42019,1.5,4,2019,2019-12-31
+AON,Aon plc,Net Positivity,CQ42019,1.45,4,2019,2019-12-31
+BK,BNY Mellon,Net Positivity,CQ42019,1.18,4,2019,2019-12-31
+BAC,Bank of America,Net Positivity,CQ42019,1.09,4,2019,2019-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42019,,4,2019,2019-12-31
+BLK,BlackRock,Net Positivity,CQ42019,0.7,4,2019,2019-12-31
+CME,CME Group,Net Positivity,CQ42019,0.93,4,2019,2019-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42019,,4,2019,2019-12-31
+CB,Chubb Limited,Net Positivity,CQ42019,-1.21,4,2019,2019-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42019,0.21,4,2019,2019-12-31
+C,Citigroup,Net Positivity,CQ42019,0.81,4,2019,2019-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42019,1.96,4,2019,2019-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42019,0.73,4,2019,2019-12-31
+FISV,Fiserv,Net Positivity,CQ42019,2.14,4,2019,2019-12-31
+GS,Goldman Sachs,Net Positivity,CQ42019,0.89,4,2019,2019-12-31
+HIG,Hartford Financial,Net Positivity,CQ42019,0.89,4,2019,2019-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42019,0.87,4,2019,2019-12-31
+IVZ,Invesco,Net Positivity,CQ42019,1.3,4,2019,2019-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42019,0.42,4,2019,2019-12-31
+KEY,KeyCorp,Net Positivity,CQ42019,0.73,4,2019,2019-12-31
+MA,Mastercard,Net Positivity,CQ42019,0.81,4,2019,2019-12-31
+MET,MetLife,Net Positivity,CQ42019,0.96,4,2019,2019-12-31
+MS,Morgan Stanley,Net Positivity,CQ42019,1.31,4,2019,2019-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42019,1.05,4,2019,2019-12-31
+NTRS,Northern Trust,Net Positivity,CQ42019,0.58,4,2019,2019-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42019,0.45,4,2019,2019-12-31
+PRU,Prudential Financial,Net Positivity,CQ42019,0.74,4,2019,2019-12-31
+RF,Regions Financial,Net Positivity,CQ42019,0.53,4,2019,2019-12-31
+SPGI,S&P Global,Net Positivity,CQ42019,0.85,4,2019,2019-12-31
+STT,State Street,Net Positivity,CQ42019,1.04,4,2019,2019-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42019,,4,2019,2019-12-31
+TRV,Travelers Companies,Net Positivity,CQ42019,-0.08,4,2019,2019-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42019,0.77,4,2019,2019-12-31
+V,Visa,Net Positivity,CQ42019,1.14,4,2019,2019-12-31
+WFC,Wells Fargo,Net Positivity,CQ42019,0.44,4,2019,2019-12-31
+ABBV,AbbVie,Net Positivity,CQ42019,1.42,4,2019,2019-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42019,1.56,4,2019,2019-12-31
+A,Agilent Technologies,Net Positivity,CQ42019,1.12,4,2019,2019-12-31
+AMGN,Amgen,Net Positivity,CQ42019,1.19,4,2019,2019-12-31
+BAX,Baxter International,Net Positivity,CQ42019,0.56,4,2019,2019-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42019,1.21,4,2019,2019-12-31
+BIIB,Biogen,Net Positivity,CQ42019,0.33,4,2019,2019-12-31
+BSX,Boston Scientific,Net Positivity,CQ42019,1.39,4,2019,2019-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42019,1.52,4,2019,2019-12-31
+CVS,CVS Health,Net Positivity,CQ42019,2.17,4,2019,2019-12-31
+COR,Cencora,Net Positivity,CQ42019,,4,2019,2019-12-31
+CI,Cigna,Net Positivity,CQ42019,1.72,4,2019,2019-12-31
+DVA,DaVita,Net Positivity,CQ42019,0.34,4,2019,2019-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42019,1.43,4,2019,2019-12-31
+LLY,Eli Lilly,Net Positivity,CQ42019,1.27,4,2019,2019-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42019,1.15,4,2019,2019-12-31
+HUM,Humana,Net Positivity,CQ42019,1.37,4,2019,2019-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42019,0.86,4,2019,2019-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42019,1.62,4,2019,2019-12-31
+LH,Labcorp,Net Positivity,CQ42019,1.33,4,2019,2019-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42019,1.25,4,2019,2019-12-31
+MDT,Medtronic,Net Positivity,CQ42019,1.54,4,2019,2019-12-31
+MRK,Merck & Co.,Net Positivity,CQ42019,1.71,4,2019,2019-12-31
+PFE,Pfizer,Net Positivity,CQ42019,0.93,4,2019,2019-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42019,2.13,4,2019,2019-12-31
+WAT,Waters Corporation,Net Positivity,CQ42019,0.74,4,2019,2019-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42019,1.69,4,2019,2019-12-31
+MMM,3M,Net Positivity,CQ42019,0.69,4,2019,2019-12-31
+AME,Ametek,Net Positivity,CQ42019,1.64,4,2019,2019-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42019,1.35,4,2019,2019-12-31
+BA,Boeing,Net Positivity,CQ42019,0.85,4,2019,2019-12-31
+CSX,CSX Corporation,Net Positivity,CQ42019,1.44,4,2019,2019-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42019,0.26,4,2019,2019-12-31
+CTAS,Cintas,Net Positivity,CQ42019,1.84,4,2019,2019-12-31
+CMI,Cummins,Net Positivity,CQ42019,-0.21,4,2019,2019-12-31
+DE,Deere & Company,Net Positivity,CQ42019,0.59,4,2019,2019-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42019,0.23,4,2019,2019-12-31
+EMR,Emerson Electric,Net Positivity,CQ42019,0.08,4,2019,2019-12-31
+EFX,Equifax,Net Positivity,CQ42019,1.01,4,2019,2019-12-31
+EXPD,Expeditors International,Net Positivity,CQ42019,,4,2019,2019-12-31
+FDX,FedEx,Net Positivity,CQ42019,0.92,4,2019,2019-12-31
+GE,GE Aerospace,Net Positivity,CQ42019,0.74,4,2019,2019-12-31
+GD,General Dynamics,Net Positivity,CQ42019,1.28,4,2019,2019-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42019,0.3,4,2019,2019-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42019,0.88,4,2019,2019-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42019,1.27,4,2019,2019-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42019,0.77,4,2019,2019-12-31
+PCAR,Paccar,Net Positivity,CQ42019,1.1,4,2019,2019-12-31
+RTX,RTX Corporation,Net Positivity,CQ42019,1.27,4,2019,2019-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42019,1.06,4,2019,2019-12-31
+ROP,Roper Technologies,Net Positivity,CQ42019,1.68,4,2019,2019-12-31
+SNA,Snap-on,Net Positivity,CQ42019,0.82,4,2019,2019-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42019,1.09,4,2019,2019-12-31
+UPS,United Parcel Service,Net Positivity,CQ42019,2.19,4,2019,2019-12-31
+WM,Waste Management,Net Positivity,CQ42019,0.92,4,2019,2019-12-31
+ACN,Accenture,Net Positivity,CQ42019,1.77,4,2019,2019-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42019,2.97,4,2019,2019-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42019,1.1,4,2019,2019-12-31
+APH,Amphenol,Net Positivity,CQ42019,1.17,4,2019,2019-12-31
+ADI,Analog Devices,Net Positivity,CQ42019,0.61,4,2019,2019-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42019,1.83,4,2019,2019-12-31
+AMAT,Applied Materials,Net Positivity,CQ42019,1.88,4,2019,2019-12-31
+ADSK,Autodesk,Net Positivity,CQ42019,1.1,4,2019,2019-12-31
+AVGO,Broadcom,Net Positivity,CQ42019,0.74,4,2019,2019-12-31
+CSCO,Cisco,Net Positivity,CQ42019,0.74,4,2019,2019-12-31
+CTSH,Cognizant,Net Positivity,CQ42019,0.73,4,2019,2019-12-31
+HPQ,HP Inc.,Net Positivity,CQ42019,1.37,4,2019,2019-12-31
+IBM,IBM,Net Positivity,CQ42019,1.07,4,2019,2019-12-31
+INTC,Intel,Net Positivity,CQ42019,1.71,4,2019,2019-12-31
+INTU,Intuit,Net Positivity,CQ42019,1.29,4,2019,2019-12-31
+LRCX,Lam Research,Net Positivity,CQ42019,1.4,4,2019,2019-12-31
+MU,Micron Technology,Net Positivity,CQ42019,1.33,4,2019,2019-12-31
+MSFT,Microsoft,Net Positivity,CQ42019,1.79,4,2019,2019-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42019,1.22,4,2019,2019-12-31
+NTAP,NetApp,Net Positivity,CQ42019,1.4,4,2019,2019-12-31
+NVDA,Nvidia,Net Positivity,CQ42019,1.13,4,2019,2019-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42019,0.5,4,2019,2019-12-31
+TXN,Texas Instruments,Net Positivity,CQ42019,-0.1,4,2019,2019-12-31
+APD,Air Products,Net Positivity,CQ42019,0.98,4,2019,2019-12-31
+AVY,Avery Dennison,Net Positivity,CQ42019,0.7,4,2019,2019-12-31
+ECL,Ecolab,Net Positivity,CQ42019,0.87,4,2019,2019-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42019,1.63,4,2019,2019-12-31
+IP,International Paper,Net Positivity,CQ42019,0.66,4,2019,2019-12-31
+LIN,Linde plc,Net Positivity,CQ42019,1.19,4,2019,2019-12-31
+NEM,Newmont,Net Positivity,CQ42019,1.85,4,2019,2019-12-31
+NUE,Nucor,Net Positivity,CQ42019,1.65,4,2019,2019-12-31
+AMT,American Tower,Net Positivity,CQ42019,0.81,4,2019,2019-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42019,0.59,4,2019,2019-12-31
+EQR,Equity Residential,Net Positivity,CQ42019,0.68,4,2019,2019-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42019,1.11,4,2019,2019-12-31
+IRM,Iron Mountain,Net Positivity,CQ42019,1.18,4,2019,2019-12-31
+PLD,Prologis,Net Positivity,CQ42019,0.4,4,2019,2019-12-31
+VTR,Ventas,Net Positivity,CQ42019,0.59,4,2019,2019-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42019,0.51,4,2019,2019-12-31
+AES,AES Corporation,Net Positivity,CQ42019,1.06,4,2019,2019-12-31
+AEE,Ameren,Net Positivity,CQ42019,0.93,4,2019,2019-12-31
+AEP,American Electric Power,Net Positivity,CQ42019,1.04,4,2019,2019-12-31
+CMS,CMS Energy,Net Positivity,CQ42019,0.93,4,2019,2019-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42019,1.1,4,2019,2019-12-31
+DUK,Duke Energy,Net Positivity,CQ42019,1.1,4,2019,2019-12-31
+EIX,Edison International,Net Positivity,CQ42019,-0.57,4,2019,2019-12-31
+ETR,Entergy,Net Positivity,CQ42019,1.22,4,2019,2019-12-31
+EXC,Exelon,Net Positivity,CQ42019,-0.33,4,2019,2019-12-31
+NEE,NextEra Energy,Net Positivity,CQ42019,1.04,4,2019,2019-12-31
+SO,Southern Company,Net Positivity,CQ42019,0.83,4,2019,2019-12-31
+XEL,Xcel Energy,Net Positivity,CQ42019,0.99,4,2019,2019-12-31
+T,AT&T,Numeric Transeprency,CQ42019,2.48,4,2019,2019-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42019,1.37,4,2019,2019-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42019,,4,2019,2019-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42019,1.27,4,2019,2019-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42019,1.08,4,2019,2019-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42019,3.29,4,2019,2019-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42019,3.39,4,2019,2019-12-31
+VZ,Verizon,Numeric Transeprency,CQ42019,2.1,4,2019,2019-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42019,1.0,4,2019,2019-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42019,1.75,4,2019,2019-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42019,1.78,4,2019,2019-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42019,1.24,4,2019,2019-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42019,1.78,4,2019,2019-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42019,1.56,4,2019,2019-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42019,1.87,4,2019,2019-12-31
+GM,General Motors,Numeric Transeprency,CQ42019,2.31,4,2019,2019-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42019,3.65,4,2019,2019-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42019,2.09,4,2019,2019-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42019,1.95,4,2019,2019-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42019,1.93,4,2019,2019-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42019,1.53,4,2019,2019-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42019,2.28,4,2019,2019-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42019,1.5,4,2019,2019-12-31
+TGT,Target,Numeric Transeprency,CQ42019,1.84,4,2019,2019-12-31
+MO,Altria,Numeric Transeprency,CQ42019,2.16,4,2019,2019-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42019,1.72,4,2019,2019-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42019,1.44,4,2019,2019-12-31
+CLX,Clorox,Numeric Transeprency,CQ42019,1.86,4,2019,2019-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42019,1.51,4,2019,2019-12-31
+COST,Costco,Numeric Transeprency,CQ42019,2.74,4,2019,2019-12-31
+GIS,General Mills,Numeric Transeprency,CQ42019,2.19,4,2019,2019-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42019,1.92,4,2019,2019-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42019,1.5,4,2019,2019-12-31
+KR,Kroger,Numeric Transeprency,CQ42019,1.53,4,2019,2019-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42019,2.39,4,2019,2019-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42019,1.0,4,2019,2019-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42019,1.93,4,2019,2019-12-31
+SYY,Sysco,Numeric Transeprency,CQ42019,1.35,4,2019,2019-12-31
+WMT,Walmart,Numeric Transeprency,CQ42019,,4,2019,2019-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42019,2.06,4,2019,2019-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42019,,4,2019,2019-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42019,2.53,4,2019,2019-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42019,2.47,4,2019,2019-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42019,1.6,4,2019,2019-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42019,1.73,4,2019,2019-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42019,2.2,4,2019,2019-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42019,2.05,4,2019,2019-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42019,2.34,4,2019,2019-12-31
+AFL,Aflac,Numeric Transeprency,CQ42019,1.66,4,2019,2019-12-31
+ALL,Allstate,Numeric Transeprency,CQ42019,1.91,4,2019,2019-12-31
+AXP,American Express,Numeric Transeprency,CQ42019,2.42,4,2019,2019-12-31
+AIG,American International Group,Numeric Transeprency,CQ42019,3.49,4,2019,2019-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42019,1.98,4,2019,2019-12-31
+AON,Aon plc,Numeric Transeprency,CQ42019,1.7,4,2019,2019-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42019,1.72,4,2019,2019-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42019,2.78,4,2019,2019-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42019,,4,2019,2019-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42019,2.23,4,2019,2019-12-31
+CME,CME Group,Numeric Transeprency,CQ42019,1.85,4,2019,2019-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42019,,4,2019,2019-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42019,2.27,4,2019,2019-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42019,2.25,4,2019,2019-12-31
+C,Citigroup,Numeric Transeprency,CQ42019,2.09,4,2019,2019-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42019,2.0,4,2019,2019-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42019,3.13,4,2019,2019-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42019,2.72,4,2019,2019-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42019,2.08,4,2019,2019-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42019,2.35,4,2019,2019-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42019,2.05,4,2019,2019-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42019,1.48,4,2019,2019-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42019,2.37,4,2019,2019-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42019,2.36,4,2019,2019-12-31
+MA,Mastercard,Numeric Transeprency,CQ42019,1.37,4,2019,2019-12-31
+MET,MetLife,Numeric Transeprency,CQ42019,3.65,4,2019,2019-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42019,2.24,4,2019,2019-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42019,1.86,4,2019,2019-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42019,2.77,4,2019,2019-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42019,2.88,4,2019,2019-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42019,1.78,4,2019,2019-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42019,2.61,4,2019,2019-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42019,2.29,4,2019,2019-12-31
+STT,State Street,Numeric Transeprency,CQ42019,2.09,4,2019,2019-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42019,,4,2019,2019-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42019,2.29,4,2019,2019-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42019,2.15,4,2019,2019-12-31
+V,Visa,Numeric Transeprency,CQ42019,3.88,4,2019,2019-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42019,2.05,4,2019,2019-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42019,2.07,4,2019,2019-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42019,1.4,4,2019,2019-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42019,1.93,4,2019,2019-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42019,2.59,4,2019,2019-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42019,1.17,4,2019,2019-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42019,2.85,4,2019,2019-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42019,2.38,4,2019,2019-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42019,3.7,4,2019,2019-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42019,1.44,4,2019,2019-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42019,2.32,4,2019,2019-12-31
+COR,Cencora,Numeric Transeprency,CQ42019,,4,2019,2019-12-31
+CI,Cigna,Numeric Transeprency,CQ42019,3.65,4,2019,2019-12-31
+DVA,DaVita,Numeric Transeprency,CQ42019,2.52,4,2019,2019-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42019,1.56,4,2019,2019-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42019,2.52,4,2019,2019-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42019,1.46,4,2019,2019-12-31
+HUM,Humana,Numeric Transeprency,CQ42019,1.65,4,2019,2019-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42019,3.44,4,2019,2019-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42019,3.17,4,2019,2019-12-31
+LH,Labcorp,Numeric Transeprency,CQ42019,2.94,4,2019,2019-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42019,2.06,4,2019,2019-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42019,1.44,4,2019,2019-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42019,1.54,4,2019,2019-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42019,2.9,4,2019,2019-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42019,2.5,4,2019,2019-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42019,2.07,4,2019,2019-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42019,1.11,4,2019,2019-12-31
+MMM,3M,Numeric Transeprency,CQ42019,2.28,4,2019,2019-12-31
+AME,Ametek,Numeric Transeprency,CQ42019,2.55,4,2019,2019-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42019,1.83,4,2019,2019-12-31
+BA,Boeing,Numeric Transeprency,CQ42019,1.97,4,2019,2019-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42019,1.68,4,2019,2019-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42019,2.26,4,2019,2019-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42019,2.21,4,2019,2019-12-31
+CMI,Cummins,Numeric Transeprency,CQ42019,2.99,4,2019,2019-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42019,2.72,4,2019,2019-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42019,2.62,4,2019,2019-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42019,2.6,4,2019,2019-12-31
+EFX,Equifax,Numeric Transeprency,CQ42019,2.82,4,2019,2019-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42019,,4,2019,2019-12-31
+FDX,FedEx,Numeric Transeprency,CQ42019,1.8,4,2019,2019-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42019,3.75,4,2019,2019-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42019,4.39,4,2019,2019-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42019,2.64,4,2019,2019-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42019,3.38,4,2019,2019-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42019,2.28,4,2019,2019-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42019,2.61,4,2019,2019-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42019,2.56,4,2019,2019-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42019,2.77,4,2019,2019-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42019,3.05,4,2019,2019-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42019,2.21,4,2019,2019-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42019,2.68,4,2019,2019-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42019,3.49,4,2019,2019-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42019,1.58,4,2019,2019-12-31
+WM,Waste Management,Numeric Transeprency,CQ42019,3.31,4,2019,2019-12-31
+ACN,Accenture,Numeric Transeprency,CQ42019,2.42,4,2019,2019-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42019,2.97,4,2019,2019-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42019,2.25,4,2019,2019-12-31
+APH,Amphenol,Numeric Transeprency,CQ42019,1.88,4,2019,2019-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42019,3.03,4,2019,2019-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42019,2.52,4,2019,2019-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42019,1.72,4,2019,2019-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42019,2.25,4,2019,2019-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42019,3.37,4,2019,2019-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42019,1.85,4,2019,2019-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42019,2.12,4,2019,2019-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42019,3.06,4,2019,2019-12-31
+IBM,IBM,Numeric Transeprency,CQ42019,2.7,4,2019,2019-12-31
+INTC,Intel,Numeric Transeprency,CQ42019,3.67,4,2019,2019-12-31
+INTU,Intuit,Numeric Transeprency,CQ42019,1.47,4,2019,2019-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42019,2.13,4,2019,2019-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42019,2.54,4,2019,2019-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42019,3.02,4,2019,2019-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42019,3.29,4,2019,2019-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42019,1.81,4,2019,2019-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42019,1.52,4,2019,2019-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42019,1.96,4,2019,2019-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42019,2.41,4,2019,2019-12-31
+APD,Air Products,Numeric Transeprency,CQ42019,3.03,4,2019,2019-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42019,1.27,4,2019,2019-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42019,1.34,4,2019,2019-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42019,2.66,4,2019,2019-12-31
+IP,International Paper,Numeric Transeprency,CQ42019,1.37,4,2019,2019-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42019,1.77,4,2019,2019-12-31
+NEM,Newmont,Numeric Transeprency,CQ42019,2.78,4,2019,2019-12-31
+NUE,Nucor,Numeric Transeprency,CQ42019,1.74,4,2019,2019-12-31
+AMT,American Tower,Numeric Transeprency,CQ42019,2.53,4,2019,2019-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42019,2.35,4,2019,2019-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42019,2.02,4,2019,2019-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42019,2.6,4,2019,2019-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42019,2.67,4,2019,2019-12-31
+PLD,Prologis,Numeric Transeprency,CQ42019,2.44,4,2019,2019-12-31
+VTR,Ventas,Numeric Transeprency,CQ42019,2.49,4,2019,2019-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42019,2.12,4,2019,2019-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42019,3.6,4,2019,2019-12-31
+AEE,Ameren,Numeric Transeprency,CQ42019,3.78,4,2019,2019-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42019,3.52,4,2019,2019-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42019,1.72,4,2019,2019-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42019,2.66,4,2019,2019-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42019,2.97,4,2019,2019-12-31
+EIX,Edison International,Numeric Transeprency,CQ42019,2.96,4,2019,2019-12-31
+ETR,Entergy,Numeric Transeprency,CQ42019,1.72,4,2019,2019-12-31
+EXC,Exelon,Numeric Transeprency,CQ42019,2.46,4,2019,2019-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42019,3.37,4,2019,2019-12-31
+SO,Southern Company,Numeric Transeprency,CQ42019,2.43,4,2019,2019-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42019,2.23,4,2019,2019-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42019,25.93,4,2019,2019-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42019,28.21,4,2019,2019-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42019,,4,2019,2019-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42019,21.95,4,2019,2019-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42019,2.56,4,2019,2019-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42019,18.18,4,2019,2019-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42019,28.57,4,2019,2019-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42019,38.46,4,2019,2019-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42019,23.4,4,2019,2019-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42019,29.17,4,2019,2019-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42019,20.0,4,2019,2019-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42019,44.83,4,2019,2019-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42019,47.06,4,2019,2019-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42019,59.38,4,2019,2019-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42019,21.74,4,2019,2019-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42019,40.91,4,2019,2019-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42019,50.0,4,2019,2019-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42019,60.0,4,2019,2019-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42019,17.95,4,2019,2019-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42019,35.48,4,2019,2019-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42019,15.15,4,2019,2019-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42019,55.56,4,2019,2019-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42019,34.48,4,2019,2019-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42019,22.58,4,2019,2019-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42019,57.14,4,2019,2019-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42019,50.0,4,2019,2019-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42019,35.0,4,2019,2019-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42019,47.06,4,2019,2019-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42019,72.73,4,2019,2019-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42019,35.71,4,2019,2019-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42019,36.36,4,2019,2019-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42019,70.59,4,2019,2019-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42019,50.0,4,2019,2019-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42019,21.43,4,2019,2019-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42019,70.0,4,2019,2019-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42019,57.14,4,2019,2019-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42019,70.83,4,2019,2019-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42019,56.25,4,2019,2019-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42019,,4,2019,2019-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42019,34.62,4,2019,2019-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42019,,4,2019,2019-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42019,18.52,4,2019,2019-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42019,25.81,4,2019,2019-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42019,34.78,4,2019,2019-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42019,31.03,4,2019,2019-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42019,13.64,4,2019,2019-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42019,25.81,4,2019,2019-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42019,41.18,4,2019,2019-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42019,40.0,4,2019,2019-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42019,26.32,4,2019,2019-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42019,39.29,4,2019,2019-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42019,27.78,4,2019,2019-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42019,66.67,4,2019,2019-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42019,47.37,4,2019,2019-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42019,36.36,4,2019,2019-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42019,39.13,4,2019,2019-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42019,,4,2019,2019-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42019,37.5,4,2019,2019-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42019,55.56,4,2019,2019-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42019,,4,2019,2019-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42019,47.62,4,2019,2019-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42019,62.5,4,2019,2019-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42019,44.0,4,2019,2019-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42019,40.0,4,2019,2019-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42019,43.48,4,2019,2019-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42019,28.57,4,2019,2019-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42019,50.0,4,2019,2019-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42019,38.89,4,2019,2019-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42019,47.06,4,2019,2019-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42019,52.94,4,2019,2019-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42019,34.62,4,2019,2019-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42019,43.48,4,2019,2019-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42019,28.57,4,2019,2019-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42019,42.11,4,2019,2019-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42019,32.0,4,2019,2019-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42019,58.82,4,2019,2019-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42019,47.62,4,2019,2019-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42019,40.91,4,2019,2019-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42019,36.84,4,2019,2019-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42019,37.5,4,2019,2019-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42019,63.64,4,2019,2019-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42019,50.0,4,2019,2019-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42019,,4,2019,2019-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42019,40.91,4,2019,2019-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42019,30.0,4,2019,2019-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42019,27.27,4,2019,2019-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42019,28.0,4,2019,2019-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42019,50.0,4,2019,2019-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42019,31.58,4,2019,2019-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42019,60.0,4,2019,2019-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42019,63.64,4,2019,2019-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42019,56.25,4,2019,2019-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42019,50.0,4,2019,2019-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42019,37.93,4,2019,2019-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42019,37.5,4,2019,2019-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42019,58.33,4,2019,2019-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42019,38.46,4,2019,2019-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42019,,4,2019,2019-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42019,52.17,4,2019,2019-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42019,63.64,4,2019,2019-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42019,37.5,4,2019,2019-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42019,76.92,4,2019,2019-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42019,42.31,4,2019,2019-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42019,59.09,4,2019,2019-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42019,58.82,4,2019,2019-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42019,52.94,4,2019,2019-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42019,60.0,4,2019,2019-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42019,33.33,4,2019,2019-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42019,38.46,4,2019,2019-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42019,62.5,4,2019,2019-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42019,61.54,4,2019,2019-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42019,42.86,4,2019,2019-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42019,46.67,4,2019,2019-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42019,51.85,4,2019,2019-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42019,66.67,4,2019,2019-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42019,60.0,4,2019,2019-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42019,36.84,4,2019,2019-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42019,47.62,4,2019,2019-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42019,66.67,4,2019,2019-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42019,44.44,4,2019,2019-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42019,53.33,4,2019,2019-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42019,26.09,4,2019,2019-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42019,66.67,4,2019,2019-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42019,50.0,4,2019,2019-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42019,36.36,4,2019,2019-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42019,64.71,4,2019,2019-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42019,,4,2019,2019-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42019,35.48,4,2019,2019-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42019,47.06,4,2019,2019-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42019,35.29,4,2019,2019-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42019,61.9,4,2019,2019-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42019,44.44,4,2019,2019-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42019,56.52,4,2019,2019-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42019,64.71,4,2019,2019-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42019,54.55,4,2019,2019-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42019,38.89,4,2019,2019-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42019,33.33,4,2019,2019-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42019,40.0,4,2019,2019-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42019,77.78,4,2019,2019-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42019,50.0,4,2019,2019-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42019,37.04,4,2019,2019-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42019,69.23,4,2019,2019-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42019,30.77,4,2019,2019-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42019,31.03,4,2019,2019-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42019,52.38,4,2019,2019-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42019,76.92,4,2019,2019-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42019,20.0,4,2019,2019-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42019,17.5,4,2019,2019-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42019,42.31,4,2019,2019-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42019,29.17,4,2019,2019-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42019,21.88,4,2019,2019-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42019,34.48,4,2019,2019-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42019,23.08,4,2019,2019-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42019,53.85,4,2019,2019-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42019,44.44,4,2019,2019-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42019,23.68,4,2019,2019-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42019,39.13,4,2019,2019-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42019,54.55,4,2019,2019-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42019,30.3,4,2019,2019-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42019,20.59,4,2019,2019-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42019,53.85,4,2019,2019-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42019,60.0,4,2019,2019-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42019,20.93,4,2019,2019-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42019,17.65,4,2019,2019-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42019,26.67,4,2019,2019-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42019,61.9,4,2019,2019-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42019,80.0,4,2019,2019-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42019,45.45,4,2019,2019-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42019,71.43,4,2019,2019-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42019,75.0,4,2019,2019-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42019,29.41,4,2019,2019-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42019,41.18,4,2019,2019-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42019,26.67,4,2019,2019-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42019,42.86,4,2019,2019-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42019,42.86,4,2019,2019-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42019,33.33,4,2019,2019-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42019,50.0,4,2019,2019-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42019,66.67,4,2019,2019-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42019,75.0,4,2019,2019-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42019,37.5,4,2019,2019-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42019,75.0,4,2019,2019-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42019,45.45,4,2019,2019-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42019,0.0,4,2019,2019-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42019,40.0,4,2019,2019-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42019,55.56,4,2019,2019-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42019,43.75,4,2019,2019-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42019,47.06,4,2019,2019-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42019,33.33,4,2019,2019-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42019,33.33,4,2019,2019-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42019,26.32,4,2019,2019-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42019,35.29,4,2019,2019-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42019,47.37,4,2019,2019-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42019,57.14,4,2019,2019-12-31
+T,AT&T,Language Complexity,CQ42019,11.95,4,2019,2019-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42019,12.86,4,2019,2019-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42019,,4,2019,2019-12-31
+META,Meta Platforms,Language Complexity,CQ42019,11.53,4,2019,2019-12-31
+NFLX,Netflix,Language Complexity,CQ42019,11.47,4,2019,2019-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42019,14.28,4,2019,2019-12-31
+OMC,Omnicom Group,Language Complexity,CQ42019,13.28,4,2019,2019-12-31
+VZ,Verizon,Language Complexity,CQ42019,11.98,4,2019,2019-12-31
+AMZN,Amazon,Language Complexity,CQ42019,12.02,4,2019,2019-12-31
+AZO,AutoZone,Language Complexity,CQ42019,12.77,4,2019,2019-12-31
+BBY,Best Buy,Language Complexity,CQ42019,13.64,4,2019,2019-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42019,11.59,4,2019,2019-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42019,12.2,4,2019,2019-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42019,10.86,4,2019,2019-12-31
+F,Ford Motor Company,Language Complexity,CQ42019,11.61,4,2019,2019-12-31
+GM,General Motors,Language Complexity,CQ42019,12.54,4,2019,2019-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42019,12.51,4,2019,2019-12-31
+HAS,Hasbro,Language Complexity,CQ42019,12.87,4,2019,2019-12-31
+LOW,Lowe's,Language Complexity,CQ42019,13.01,4,2019,2019-12-31
+MCD,McDonald's,Language Complexity,CQ42019,12.9,4,2019,2019-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42019,13.18,4,2019,2019-12-31
+ROST,Ross Stores,Language Complexity,CQ42019,10.35,4,2019,2019-12-31
+TJX,TJX Companies,Language Complexity,CQ42019,11.11,4,2019,2019-12-31
+TGT,Target,Language Complexity,CQ42019,13.25,4,2019,2019-12-31
+MO,Altria,Language Complexity,CQ42019,13.72,4,2019,2019-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42019,11.98,4,2019,2019-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42019,12.52,4,2019,2019-12-31
+CLX,Clorox,Language Complexity,CQ42019,10.66,4,2019,2019-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42019,13.24,4,2019,2019-12-31
+COST,Costco,Language Complexity,CQ42019,10.82,4,2019,2019-12-31
+GIS,General Mills,Language Complexity,CQ42019,11.49,4,2019,2019-12-31
+HSY,Hershey Company,Language Complexity,CQ42019,11.77,4,2019,2019-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42019,11.05,4,2019,2019-12-31
+KR,Kroger,Language Complexity,CQ42019,13.36,4,2019,2019-12-31
+MKC,McCormick & Company,Language Complexity,CQ42019,12.64,4,2019,2019-12-31
+PEP,PepsiCo,Language Complexity,CQ42019,13.32,4,2019,2019-12-31
+PG,Procter & Gamble,Language Complexity,CQ42019,12.29,4,2019,2019-12-31
+SYY,Sysco,Language Complexity,CQ42019,12.81,4,2019,2019-12-31
+WMT,Walmart,Language Complexity,CQ42019,,4,2019,2019-12-31
+APA,APA Corporation,Language Complexity,CQ42019,11.21,4,2019,2019-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42019,,4,2019,2019-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42019,12.67,4,2019,2019-12-31
+EOG,EOG Resources,Language Complexity,CQ42019,12.71,4,2019,2019-12-31
+XOM,ExxonMobil,Language Complexity,CQ42019,12.84,4,2019,2019-12-31
+HAL,Halliburton,Language Complexity,CQ42019,13.14,4,2019,2019-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42019,14.54,4,2019,2019-12-31
+SLB,Schlumberger,Language Complexity,CQ42019,12.45,4,2019,2019-12-31
+VLO,Valero Energy,Language Complexity,CQ42019,10.35,4,2019,2019-12-31
+AFL,Aflac,Language Complexity,CQ42019,12.91,4,2019,2019-12-31
+ALL,Allstate,Language Complexity,CQ42019,12.53,4,2019,2019-12-31
+AXP,American Express,Language Complexity,CQ42019,12.09,4,2019,2019-12-31
+AIG,American International Group,Language Complexity,CQ42019,14.87,4,2019,2019-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42019,11.98,4,2019,2019-12-31
+AON,Aon plc,Language Complexity,CQ42019,12.87,4,2019,2019-12-31
+BK,BNY Mellon,Language Complexity,CQ42019,12.38,4,2019,2019-12-31
+BAC,Bank of America,Language Complexity,CQ42019,12.15,4,2019,2019-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42019,,4,2019,2019-12-31
+BLK,BlackRock,Language Complexity,CQ42019,14.76,4,2019,2019-12-31
+CME,CME Group,Language Complexity,CQ42019,11.38,4,2019,2019-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42019,,4,2019,2019-12-31
+CB,Chubb Limited,Language Complexity,CQ42019,11.11,4,2019,2019-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42019,11.74,4,2019,2019-12-31
+C,Citigroup,Language Complexity,CQ42019,12.21,4,2019,2019-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42019,12.0,4,2019,2019-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42019,12.02,4,2019,2019-12-31
+FISV,Fiserv,Language Complexity,CQ42019,13.29,4,2019,2019-12-31
+GS,Goldman Sachs,Language Complexity,CQ42019,13.47,4,2019,2019-12-31
+HIG,Hartford Financial,Language Complexity,CQ42019,12.51,4,2019,2019-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42019,13.38,4,2019,2019-12-31
+IVZ,Invesco,Language Complexity,CQ42019,11.56,4,2019,2019-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42019,10.6,4,2019,2019-12-31
+KEY,KeyCorp,Language Complexity,CQ42019,11.59,4,2019,2019-12-31
+MA,Mastercard,Language Complexity,CQ42019,12.35,4,2019,2019-12-31
+MET,MetLife,Language Complexity,CQ42019,12.31,4,2019,2019-12-31
+MS,Morgan Stanley,Language Complexity,CQ42019,12.01,4,2019,2019-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42019,13.91,4,2019,2019-12-31
+NTRS,Northern Trust,Language Complexity,CQ42019,10.73,4,2019,2019-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42019,10.47,4,2019,2019-12-31
+PRU,Prudential Financial,Language Complexity,CQ42019,12.93,4,2019,2019-12-31
+RF,Regions Financial,Language Complexity,CQ42019,12.2,4,2019,2019-12-31
+SPGI,S&P Global,Language Complexity,CQ42019,12.54,4,2019,2019-12-31
+STT,State Street,Language Complexity,CQ42019,13.21,4,2019,2019-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42019,,4,2019,2019-12-31
+TRV,Travelers Companies,Language Complexity,CQ42019,13.21,4,2019,2019-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42019,12.8,4,2019,2019-12-31
+V,Visa,Language Complexity,CQ42019,12.77,4,2019,2019-12-31
+WFC,Wells Fargo,Language Complexity,CQ42019,12.62,4,2019,2019-12-31
+ABBV,AbbVie,Language Complexity,CQ42019,12.6,4,2019,2019-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42019,11.06,4,2019,2019-12-31
+A,Agilent Technologies,Language Complexity,CQ42019,10.73,4,2019,2019-12-31
+AMGN,Amgen,Language Complexity,CQ42019,12.91,4,2019,2019-12-31
+BAX,Baxter International,Language Complexity,CQ42019,12.24,4,2019,2019-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42019,11.87,4,2019,2019-12-31
+BIIB,Biogen,Language Complexity,CQ42019,14.76,4,2019,2019-12-31
+BSX,Boston Scientific,Language Complexity,CQ42019,12.99,4,2019,2019-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42019,12.45,4,2019,2019-12-31
+CVS,CVS Health,Language Complexity,CQ42019,13.05,4,2019,2019-12-31
+COR,Cencora,Language Complexity,CQ42019,,4,2019,2019-12-31
+CI,Cigna,Language Complexity,CQ42019,14.28,4,2019,2019-12-31
+DVA,DaVita,Language Complexity,CQ42019,10.7,4,2019,2019-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42019,12.69,4,2019,2019-12-31
+LLY,Eli Lilly,Language Complexity,CQ42019,12.92,4,2019,2019-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42019,12.86,4,2019,2019-12-31
+HUM,Humana,Language Complexity,CQ42019,14.55,4,2019,2019-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42019,12.55,4,2019,2019-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42019,13.38,4,2019,2019-12-31
+LH,Labcorp,Language Complexity,CQ42019,13.3,4,2019,2019-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42019,14.11,4,2019,2019-12-31
+MDT,Medtronic,Language Complexity,CQ42019,12.35,4,2019,2019-12-31
+MRK,Merck & Co.,Language Complexity,CQ42019,12.85,4,2019,2019-12-31
+PFE,Pfizer,Language Complexity,CQ42019,13.03,4,2019,2019-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42019,13.43,4,2019,2019-12-31
+WAT,Waters Corporation,Language Complexity,CQ42019,13.69,4,2019,2019-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42019,10.9,4,2019,2019-12-31
+MMM,3M,Language Complexity,CQ42019,11.44,4,2019,2019-12-31
+AME,Ametek,Language Complexity,CQ42019,11.17,4,2019,2019-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42019,13.27,4,2019,2019-12-31
+BA,Boeing,Language Complexity,CQ42019,13.57,4,2019,2019-12-31
+CSX,CSX Corporation,Language Complexity,CQ42019,11.61,4,2019,2019-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42019,12.41,4,2019,2019-12-31
+CTAS,Cintas,Language Complexity,CQ42019,11.14,4,2019,2019-12-31
+CMI,Cummins,Language Complexity,CQ42019,11.73,4,2019,2019-12-31
+DE,Deere & Company,Language Complexity,CQ42019,11.59,4,2019,2019-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42019,11.46,4,2019,2019-12-31
+EMR,Emerson Electric,Language Complexity,CQ42019,10.38,4,2019,2019-12-31
+EFX,Equifax,Language Complexity,CQ42019,12.35,4,2019,2019-12-31
+EXPD,Expeditors International,Language Complexity,CQ42019,,4,2019,2019-12-31
+FDX,FedEx,Language Complexity,CQ42019,12.72,4,2019,2019-12-31
+GE,GE Aerospace,Language Complexity,CQ42019,12.93,4,2019,2019-12-31
+GD,General Dynamics,Language Complexity,CQ42019,11.31,4,2019,2019-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42019,10.76,4,2019,2019-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42019,12.03,4,2019,2019-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42019,12.39,4,2019,2019-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42019,12.27,4,2019,2019-12-31
+PCAR,Paccar,Language Complexity,CQ42019,10.53,4,2019,2019-12-31
+RTX,RTX Corporation,Language Complexity,CQ42019,11.24,4,2019,2019-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42019,11.5,4,2019,2019-12-31
+ROP,Roper Technologies,Language Complexity,CQ42019,11.93,4,2019,2019-12-31
+SNA,Snap-on,Language Complexity,CQ42019,11.99,4,2019,2019-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42019,13.69,4,2019,2019-12-31
+UPS,United Parcel Service,Language Complexity,CQ42019,12.05,4,2019,2019-12-31
+WM,Waste Management,Language Complexity,CQ42019,11.07,4,2019,2019-12-31
+ACN,Accenture,Language Complexity,CQ42019,12.66,4,2019,2019-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42019,14.74,4,2019,2019-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42019,12.28,4,2019,2019-12-31
+APH,Amphenol,Language Complexity,CQ42019,13.74,4,2019,2019-12-31
+ADI,Analog Devices,Language Complexity,CQ42019,11.57,4,2019,2019-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42019,12.36,4,2019,2019-12-31
+AMAT,Applied Materials,Language Complexity,CQ42019,11.61,4,2019,2019-12-31
+ADSK,Autodesk,Language Complexity,CQ42019,12.02,4,2019,2019-12-31
+AVGO,Broadcom,Language Complexity,CQ42019,12.89,4,2019,2019-12-31
+CSCO,Cisco,Language Complexity,CQ42019,11.71,4,2019,2019-12-31
+CTSH,Cognizant,Language Complexity,CQ42019,15.64,4,2019,2019-12-31
+HPQ,HP Inc.,Language Complexity,CQ42019,12.77,4,2019,2019-12-31
+IBM,IBM,Language Complexity,CQ42019,12.54,4,2019,2019-12-31
+INTC,Intel,Language Complexity,CQ42019,11.41,4,2019,2019-12-31
+INTU,Intuit,Language Complexity,CQ42019,11.63,4,2019,2019-12-31
+LRCX,Lam Research,Language Complexity,CQ42019,12.15,4,2019,2019-12-31
+MU,Micron Technology,Language Complexity,CQ42019,13.66,4,2019,2019-12-31
+MSFT,Microsoft,Language Complexity,CQ42019,14.66,4,2019,2019-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42019,11.8,4,2019,2019-12-31
+NTAP,NetApp,Language Complexity,CQ42019,12.32,4,2019,2019-12-31
+NVDA,Nvidia,Language Complexity,CQ42019,11.33,4,2019,2019-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42019,11.9,4,2019,2019-12-31
+TXN,Texas Instruments,Language Complexity,CQ42019,10.99,4,2019,2019-12-31
+APD,Air Products,Language Complexity,CQ42019,11.27,4,2019,2019-12-31
+AVY,Avery Dennison,Language Complexity,CQ42019,12.4,4,2019,2019-12-31
+ECL,Ecolab,Language Complexity,CQ42019,10.32,4,2019,2019-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42019,12.7,4,2019,2019-12-31
+IP,International Paper,Language Complexity,CQ42019,11.23,4,2019,2019-12-31
+LIN,Linde plc,Language Complexity,CQ42019,10.72,4,2019,2019-12-31
+NEM,Newmont,Language Complexity,CQ42019,12.33,4,2019,2019-12-31
+NUE,Nucor,Language Complexity,CQ42019,10.98,4,2019,2019-12-31
+AMT,American Tower,Language Complexity,CQ42019,14.43,4,2019,2019-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42019,11.26,4,2019,2019-12-31
+EQR,Equity Residential,Language Complexity,CQ42019,11.61,4,2019,2019-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42019,11.78,4,2019,2019-12-31
+IRM,Iron Mountain,Language Complexity,CQ42019,13.38,4,2019,2019-12-31
+PLD,Prologis,Language Complexity,CQ42019,10.62,4,2019,2019-12-31
+VTR,Ventas,Language Complexity,CQ42019,11.72,4,2019,2019-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42019,11.69,4,2019,2019-12-31
+AES,AES Corporation,Language Complexity,CQ42019,11.57,4,2019,2019-12-31
+AEE,Ameren,Language Complexity,CQ42019,14.71,4,2019,2019-12-31
+AEP,American Electric Power,Language Complexity,CQ42019,12.5,4,2019,2019-12-31
+CMS,CMS Energy,Language Complexity,CQ42019,13.03,4,2019,2019-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42019,13.42,4,2019,2019-12-31
+DUK,Duke Energy,Language Complexity,CQ42019,13.69,4,2019,2019-12-31
+EIX,Edison International,Language Complexity,CQ42019,14.98,4,2019,2019-12-31
+ETR,Entergy,Language Complexity,CQ42019,13.27,4,2019,2019-12-31
+EXC,Exelon,Language Complexity,CQ42019,13.22,4,2019,2019-12-31
+NEE,NextEra Energy,Language Complexity,CQ42019,16.79,4,2019,2019-12-31
+SO,Southern Company,Language Complexity,CQ42019,11.43,4,2019,2019-12-31
+XEL,Xcel Energy,Language Complexity,CQ42019,11.72,4,2019,2019-12-31
+T,AT&T,Net Positivity,CQ12020,1.57,1,2020,2020-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12020,1.7,1,2020,2020-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12020,,1,2020,2020-03-31
+META,Meta Platforms,Net Positivity,CQ12020,1.04,1,2020,2020-03-31
+NFLX,Netflix,Net Positivity,CQ12020,1.36,1,2020,2020-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12020,1.11,1,2020,2020-03-31
+OMC,Omnicom Group,Net Positivity,CQ12020,1.1,1,2020,2020-03-31
+VZ,Verizon,Net Positivity,CQ12020,1.31,1,2020,2020-03-31
+AMZN,Amazon,Net Positivity,CQ12020,1.07,1,2020,2020-03-31
+AZO,AutoZone,Net Positivity,CQ12020,0.91,1,2020,2020-03-31
+BBY,Best Buy,Net Positivity,CQ12020,1.59,1,2020,2020-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12020,0.89,1,2020,2020-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12020,2.33,1,2020,2020-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12020,-0.02,1,2020,2020-03-31
+F,Ford Motor Company,Net Positivity,CQ12020,0.97,1,2020,2020-03-31
+GM,General Motors,Net Positivity,CQ12020,,1,2020,2020-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12020,1.72,1,2020,2020-03-31
+HAS,Hasbro,Net Positivity,CQ12020,1.63,1,2020,2020-03-31
+LOW,Lowe's,Net Positivity,CQ12020,2.61,1,2020,2020-03-31
+MCD,McDonald's,Net Positivity,CQ12020,1.53,1,2020,2020-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12020,2.03,1,2020,2020-03-31
+ROST,Ross Stores,Net Positivity,CQ12020,0.55,1,2020,2020-03-31
+TJX,TJX Companies,Net Positivity,CQ12020,2.05,1,2020,2020-03-31
+TGT,Target,Net Positivity,CQ12020,1.33,1,2020,2020-03-31
+MO,Altria,Net Positivity,CQ12020,0.01,1,2020,2020-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12020,1.22,1,2020,2020-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12020,0.42,1,2020,2020-03-31
+CLX,Clorox,Net Positivity,CQ12020,1.98,1,2020,2020-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12020,2.03,1,2020,2020-03-31
+COST,Costco,Net Positivity,CQ12020,0.54,1,2020,2020-03-31
+GIS,General Mills,Net Positivity,CQ12020,1.01,1,2020,2020-03-31
+HSY,Hershey Company,Net Positivity,CQ12020,1.6,1,2020,2020-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12020,1.53,1,2020,2020-03-31
+KR,Kroger,Net Positivity,CQ12020,1.83,1,2020,2020-03-31
+MKC,McCormick & Company,Net Positivity,CQ12020,0.43,1,2020,2020-03-31
+PEP,PepsiCo,Net Positivity,CQ12020,2.64,1,2020,2020-03-31
+PG,Procter & Gamble,Net Positivity,CQ12020,1.43,1,2020,2020-03-31
+SYY,Sysco,Net Positivity,CQ12020,1.06,1,2020,2020-03-31
+WMT,Walmart,Net Positivity,CQ12020,1.8,1,2020,2020-03-31
+APA,APA Corporation,Net Positivity,CQ12020,0.35,1,2020,2020-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12020,,1,2020,2020-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12020,-0.06,1,2020,2020-03-31
+EOG,EOG Resources,Net Positivity,CQ12020,1.83,1,2020,2020-03-31
+XOM,ExxonMobil,Net Positivity,CQ12020,1.32,1,2020,2020-03-31
+HAL,Halliburton,Net Positivity,CQ12020,0.94,1,2020,2020-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12020,1.19,1,2020,2020-03-31
+SLB,Schlumberger,Net Positivity,CQ12020,0.79,1,2020,2020-03-31
+VLO,Valero Energy,Net Positivity,CQ12020,0.66,1,2020,2020-03-31
+AFL,Aflac,Net Positivity,CQ12020,1.18,1,2020,2020-03-31
+ALL,Allstate,Net Positivity,CQ12020,0.49,1,2020,2020-03-31
+AXP,American Express,Net Positivity,CQ12020,0.91,1,2020,2020-03-31
+AIG,American International Group,Net Positivity,CQ12020,0.8,1,2020,2020-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12020,2.25,1,2020,2020-03-31
+AON,Aon plc,Net Positivity,CQ12020,2.06,1,2020,2020-03-31
+BK,BNY Mellon,Net Positivity,CQ12020,1.82,1,2020,2020-03-31
+BAC,Bank of America,Net Positivity,CQ12020,1.51,1,2020,2020-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12020,,1,2020,2020-03-31
+BLK,BlackRock,Net Positivity,CQ12020,1.1,1,2020,2020-03-31
+CME,CME Group,Net Positivity,CQ12020,0.73,1,2020,2020-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12020,,1,2020,2020-03-31
+CB,Chubb Limited,Net Positivity,CQ12020,-0.67,1,2020,2020-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12020,1.19,1,2020,2020-03-31
+C,Citigroup,Net Positivity,CQ12020,1.43,1,2020,2020-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12020,1.78,1,2020,2020-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12020,1.57,1,2020,2020-03-31
+FISV,Fiserv,Net Positivity,CQ12020,1.97,1,2020,2020-03-31
+GS,Goldman Sachs,Net Positivity,CQ12020,0.7,1,2020,2020-03-31
+HIG,Hartford Financial,Net Positivity,CQ12020,0.6,1,2020,2020-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12020,0.72,1,2020,2020-03-31
+IVZ,Invesco,Net Positivity,CQ12020,1.3,1,2020,2020-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12020,0.64,1,2020,2020-03-31
+KEY,KeyCorp,Net Positivity,CQ12020,0.8,1,2020,2020-03-31
+MA,Mastercard,Net Positivity,CQ12020,,1,2020,2020-03-31
+MET,MetLife,Net Positivity,CQ12020,1.08,1,2020,2020-03-31
+MS,Morgan Stanley,Net Positivity,CQ12020,1.18,1,2020,2020-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12020,0.92,1,2020,2020-03-31
+NTRS,Northern Trust,Net Positivity,CQ12020,0.93,1,2020,2020-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12020,0.48,1,2020,2020-03-31
+PRU,Prudential Financial,Net Positivity,CQ12020,1.07,1,2020,2020-03-31
+RF,Regions Financial,Net Positivity,CQ12020,0.82,1,2020,2020-03-31
+SPGI,S&P Global,Net Positivity,CQ12020,1.1,1,2020,2020-03-31
+STT,State Street,Net Positivity,CQ12020,0.67,1,2020,2020-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12020,,1,2020,2020-03-31
+TRV,Travelers Companies,Net Positivity,CQ12020,0.5,1,2020,2020-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12020,0.82,1,2020,2020-03-31
+V,Visa,Net Positivity,CQ12020,0.51,1,2020,2020-03-31
+WFC,Wells Fargo,Net Positivity,CQ12020,0.84,1,2020,2020-03-31
+ABBV,AbbVie,Net Positivity,CQ12020,1.21,1,2020,2020-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12020,1.7,1,2020,2020-03-31
+A,Agilent Technologies,Net Positivity,CQ12020,1.15,1,2020,2020-03-31
+AMGN,Amgen,Net Positivity,CQ12020,1.33,1,2020,2020-03-31
+BAX,Baxter International,Net Positivity,CQ12020,0.97,1,2020,2020-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12020,0.68,1,2020,2020-03-31
+BIIB,Biogen,Net Positivity,CQ12020,1.19,1,2020,2020-03-31
+BSX,Boston Scientific,Net Positivity,CQ12020,0.92,1,2020,2020-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12020,1.96,1,2020,2020-03-31
+CVS,CVS Health,Net Positivity,CQ12020,1.66,1,2020,2020-03-31
+COR,Cencora,Net Positivity,CQ12020,,1,2020,2020-03-31
+CI,Cigna,Net Positivity,CQ12020,1.81,1,2020,2020-03-31
+DVA,DaVita,Net Positivity,CQ12020,0.53,1,2020,2020-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12020,1.8,1,2020,2020-03-31
+LLY,Eli Lilly,Net Positivity,CQ12020,1.53,1,2020,2020-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12020,1.03,1,2020,2020-03-31
+HUM,Humana,Net Positivity,CQ12020,1.5,1,2020,2020-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12020,0.96,1,2020,2020-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12020,1.59,1,2020,2020-03-31
+LH,Labcorp,Net Positivity,CQ12020,0.75,1,2020,2020-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12020,1.25,1,2020,2020-03-31
+MDT,Medtronic,Net Positivity,CQ12020,0.59,1,2020,2020-03-31
+MRK,Merck & Co.,Net Positivity,CQ12020,2.61,1,2020,2020-03-31
+PFE,Pfizer,Net Positivity,CQ12020,1.44,1,2020,2020-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12020,1.66,1,2020,2020-03-31
+WAT,Waters Corporation,Net Positivity,CQ12020,1.28,1,2020,2020-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12020,1.87,1,2020,2020-03-31
+MMM,3M,Net Positivity,CQ12020,0.84,1,2020,2020-03-31
+AME,Ametek,Net Positivity,CQ12020,1.13,1,2020,2020-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12020,1.11,1,2020,2020-03-31
+BA,Boeing,Net Positivity,CQ12020,0.09,1,2020,2020-03-31
+CSX,CSX Corporation,Net Positivity,CQ12020,1.24,1,2020,2020-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12020,0.28,1,2020,2020-03-31
+CTAS,Cintas,Net Positivity,CQ12020,-0.66,1,2020,2020-03-31
+CMI,Cummins,Net Positivity,CQ12020,-0.45,1,2020,2020-03-31
+DE,Deere & Company,Net Positivity,CQ12020,0.8,1,2020,2020-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12020,1.01,1,2020,2020-03-31
+EMR,Emerson Electric,Net Positivity,CQ12020,-0.04,1,2020,2020-03-31
+EFX,Equifax,Net Positivity,CQ12020,1.03,1,2020,2020-03-31
+EXPD,Expeditors International,Net Positivity,CQ12020,,1,2020,2020-03-31
+FDX,FedEx,Net Positivity,CQ12020,0.69,1,2020,2020-03-31
+GE,GE Aerospace,Net Positivity,CQ12020,1.09,1,2020,2020-03-31
+GD,General Dynamics,Net Positivity,CQ12020,0.97,1,2020,2020-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12020,0.39,1,2020,2020-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12020,0.97,1,2020,2020-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12020,1.33,1,2020,2020-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12020,,1,2020,2020-03-31
+PCAR,Paccar,Net Positivity,CQ12020,1.7,1,2020,2020-03-31
+RTX,RTX Corporation,Net Positivity,CQ12020,-0.02,1,2020,2020-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12020,1.11,1,2020,2020-03-31
+ROP,Roper Technologies,Net Positivity,CQ12020,1.27,1,2020,2020-03-31
+SNA,Snap-on,Net Positivity,CQ12020,0.81,1,2020,2020-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12020,1.95,1,2020,2020-03-31
+UPS,United Parcel Service,Net Positivity,CQ12020,2.11,1,2020,2020-03-31
+WM,Waste Management,Net Positivity,CQ12020,1.16,1,2020,2020-03-31
+ACN,Accenture,Net Positivity,CQ12020,0.76,1,2020,2020-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12020,1.87,1,2020,2020-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12020,1.25,1,2020,2020-03-31
+APH,Amphenol,Net Positivity,CQ12020,1.35,1,2020,2020-03-31
+ADI,Analog Devices,Net Positivity,CQ12020,0.88,1,2020,2020-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12020,1.29,1,2020,2020-03-31
+AMAT,Applied Materials,Net Positivity,CQ12020,1.95,1,2020,2020-03-31
+ADSK,Autodesk,Net Positivity,CQ12020,0.97,1,2020,2020-03-31
+AVGO,Broadcom,Net Positivity,CQ12020,0.27,1,2020,2020-03-31
+CSCO,Cisco,Net Positivity,CQ12020,0.81,1,2020,2020-03-31
+CTSH,Cognizant,Net Positivity,CQ12020,0.81,1,2020,2020-03-31
+HPQ,HP Inc.,Net Positivity,CQ12020,1.47,1,2020,2020-03-31
+IBM,IBM,Net Positivity,CQ12020,1.11,1,2020,2020-03-31
+INTC,Intel,Net Positivity,CQ12020,1.59,1,2020,2020-03-31
+INTU,Intuit,Net Positivity,CQ12020,1.63,1,2020,2020-03-31
+LRCX,Lam Research,Net Positivity,CQ12020,1.28,1,2020,2020-03-31
+MU,Micron Technology,Net Positivity,CQ12020,0.83,1,2020,2020-03-31
+MSFT,Microsoft,Net Positivity,CQ12020,1.87,1,2020,2020-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12020,0.84,1,2020,2020-03-31
+NTAP,NetApp,Net Positivity,CQ12020,1.0,1,2020,2020-03-31
+NVDA,Nvidia,Net Positivity,CQ12020,1.71,1,2020,2020-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12020,0.66,1,2020,2020-03-31
+TXN,Texas Instruments,Net Positivity,CQ12020,0.66,1,2020,2020-03-31
+APD,Air Products,Net Positivity,CQ12020,1.49,1,2020,2020-03-31
+AVY,Avery Dennison,Net Positivity,CQ12020,,1,2020,2020-03-31
+ECL,Ecolab,Net Positivity,CQ12020,1.13,1,2020,2020-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12020,1.53,1,2020,2020-03-31
+IP,International Paper,Net Positivity,CQ12020,0.69,1,2020,2020-03-31
+LIN,Linde plc,Net Positivity,CQ12020,1.12,1,2020,2020-03-31
+NEM,Newmont,Net Positivity,CQ12020,1.51,1,2020,2020-03-31
+NUE,Nucor,Net Positivity,CQ12020,1.53,1,2020,2020-03-31
+AMT,American Tower,Net Positivity,CQ12020,1.12,1,2020,2020-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12020,0.57,1,2020,2020-03-31
+EQR,Equity Residential,Net Positivity,CQ12020,1.55,1,2020,2020-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12020,0.72,1,2020,2020-03-31
+IRM,Iron Mountain,Net Positivity,CQ12020,1.35,1,2020,2020-03-31
+PLD,Prologis,Net Positivity,CQ12020,0.56,1,2020,2020-03-31
+VTR,Ventas,Net Positivity,CQ12020,1.54,1,2020,2020-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12020,1.19,1,2020,2020-03-31
+AES,AES Corporation,Net Positivity,CQ12020,1.55,1,2020,2020-03-31
+AEE,Ameren,Net Positivity,CQ12020,1.73,1,2020,2020-03-31
+AEP,American Electric Power,Net Positivity,CQ12020,1.19,1,2020,2020-03-31
+CMS,CMS Energy,Net Positivity,CQ12020,1.19,1,2020,2020-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12020,1.47,1,2020,2020-03-31
+DUK,Duke Energy,Net Positivity,CQ12020,1.59,1,2020,2020-03-31
+EIX,Edison International,Net Positivity,CQ12020,-0.06,1,2020,2020-03-31
+ETR,Entergy,Net Positivity,CQ12020,1.8,1,2020,2020-03-31
+EXC,Exelon,Net Positivity,CQ12020,1.07,1,2020,2020-03-31
+NEE,NextEra Energy,Net Positivity,CQ12020,1.51,1,2020,2020-03-31
+SO,Southern Company,Net Positivity,CQ12020,0.99,1,2020,2020-03-31
+XEL,Xcel Energy,Net Positivity,CQ12020,1.51,1,2020,2020-03-31
+T,AT&T,Numeric Transeprency,CQ12020,2.39,1,2020,2020-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12020,1.89,1,2020,2020-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12020,1.44,1,2020,2020-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12020,0.97,1,2020,2020-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12020,3.08,1,2020,2020-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12020,3.87,1,2020,2020-03-31
+VZ,Verizon,Numeric Transeprency,CQ12020,2.8,1,2020,2020-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12020,1.78,1,2020,2020-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12020,1.85,1,2020,2020-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12020,2.0,1,2020,2020-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12020,2.04,1,2020,2020-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12020,2.39,1,2020,2020-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12020,1.57,1,2020,2020-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12020,3.01,1,2020,2020-03-31
+GM,General Motors,Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12020,4.47,1,2020,2020-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12020,2.01,1,2020,2020-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12020,2.4,1,2020,2020-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12020,2.2,1,2020,2020-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12020,1.22,1,2020,2020-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12020,3.24,1,2020,2020-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12020,2.92,1,2020,2020-03-31
+TGT,Target,Numeric Transeprency,CQ12020,1.36,1,2020,2020-03-31
+MO,Altria,Numeric Transeprency,CQ12020,2.66,1,2020,2020-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12020,2.63,1,2020,2020-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12020,1.49,1,2020,2020-03-31
+CLX,Clorox,Numeric Transeprency,CQ12020,1.41,1,2020,2020-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12020,2.12,1,2020,2020-03-31
+COST,Costco,Numeric Transeprency,CQ12020,2.93,1,2020,2020-03-31
+GIS,General Mills,Numeric Transeprency,CQ12020,1.96,1,2020,2020-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12020,2.67,1,2020,2020-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12020,2.71,1,2020,2020-03-31
+KR,Kroger,Numeric Transeprency,CQ12020,1.74,1,2020,2020-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12020,1.48,1,2020,2020-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12020,1.84,1,2020,2020-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12020,1.75,1,2020,2020-03-31
+SYY,Sysco,Numeric Transeprency,CQ12020,1.14,1,2020,2020-03-31
+WMT,Walmart,Numeric Transeprency,CQ12020,1.1,1,2020,2020-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12020,2.18,1,2020,2020-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12020,2.73,1,2020,2020-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12020,2.85,1,2020,2020-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12020,1.54,1,2020,2020-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12020,2.08,1,2020,2020-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12020,2.13,1,2020,2020-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12020,2.23,1,2020,2020-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12020,2.44,1,2020,2020-03-31
+AFL,Aflac,Numeric Transeprency,CQ12020,1.99,1,2020,2020-03-31
+ALL,Allstate,Numeric Transeprency,CQ12020,2.28,1,2020,2020-03-31
+AXP,American Express,Numeric Transeprency,CQ12020,2.58,1,2020,2020-03-31
+AIG,American International Group,Numeric Transeprency,CQ12020,4.46,1,2020,2020-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12020,2.49,1,2020,2020-03-31
+AON,Aon plc,Numeric Transeprency,CQ12020,2.21,1,2020,2020-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12020,2.12,1,2020,2020-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12020,3.71,1,2020,2020-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12020,3.55,1,2020,2020-03-31
+CME,CME Group,Numeric Transeprency,CQ12020,2.44,1,2020,2020-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12020,2.98,1,2020,2020-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12020,2.75,1,2020,2020-03-31
+C,Citigroup,Numeric Transeprency,CQ12020,3.25,1,2020,2020-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12020,3.16,1,2020,2020-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12020,3.01,1,2020,2020-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12020,2.98,1,2020,2020-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12020,2.38,1,2020,2020-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12020,3.24,1,2020,2020-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12020,2.29,1,2020,2020-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12020,2.23,1,2020,2020-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12020,3.06,1,2020,2020-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12020,2.75,1,2020,2020-03-31
+MA,Mastercard,Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+MET,MetLife,Numeric Transeprency,CQ12020,4.27,1,2020,2020-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12020,2.89,1,2020,2020-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12020,2.83,1,2020,2020-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12020,2.83,1,2020,2020-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12020,3.89,1,2020,2020-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12020,2.76,1,2020,2020-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12020,2.65,1,2020,2020-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12020,3.27,1,2020,2020-03-31
+STT,State Street,Numeric Transeprency,CQ12020,2.96,1,2020,2020-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12020,3.07,1,2020,2020-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12020,2.91,1,2020,2020-03-31
+V,Visa,Numeric Transeprency,CQ12020,3.09,1,2020,2020-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12020,1.72,1,2020,2020-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12020,3.01,1,2020,2020-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12020,1.95,1,2020,2020-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12020,1.46,1,2020,2020-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12020,3.19,1,2020,2020-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12020,1.88,1,2020,2020-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12020,2.09,1,2020,2020-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12020,3.82,1,2020,2020-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12020,5.5,1,2020,2020-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12020,2.1,1,2020,2020-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12020,2.77,1,2020,2020-03-31
+COR,Cencora,Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+CI,Cigna,Numeric Transeprency,CQ12020,3.36,1,2020,2020-03-31
+DVA,DaVita,Numeric Transeprency,CQ12020,2.93,1,2020,2020-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12020,2.85,1,2020,2020-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12020,2.88,1,2020,2020-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12020,2.52,1,2020,2020-03-31
+HUM,Humana,Numeric Transeprency,CQ12020,2.28,1,2020,2020-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12020,3.86,1,2020,2020-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12020,3.67,1,2020,2020-03-31
+LH,Labcorp,Numeric Transeprency,CQ12020,2.94,1,2020,2020-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12020,1.93,1,2020,2020-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12020,1.36,1,2020,2020-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12020,1.96,1,2020,2020-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12020,3.04,1,2020,2020-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12020,3.83,1,2020,2020-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12020,2.79,1,2020,2020-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12020,1.73,1,2020,2020-03-31
+MMM,3M,Numeric Transeprency,CQ12020,3.36,1,2020,2020-03-31
+AME,Ametek,Numeric Transeprency,CQ12020,3.64,1,2020,2020-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12020,1.88,1,2020,2020-03-31
+BA,Boeing,Numeric Transeprency,CQ12020,1.91,1,2020,2020-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12020,2.27,1,2020,2020-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12020,3.5,1,2020,2020-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12020,2.12,1,2020,2020-03-31
+CMI,Cummins,Numeric Transeprency,CQ12020,4.05,1,2020,2020-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12020,1.98,1,2020,2020-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12020,3.11,1,2020,2020-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12020,2.61,1,2020,2020-03-31
+EFX,Equifax,Numeric Transeprency,CQ12020,3.86,1,2020,2020-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+FDX,FedEx,Numeric Transeprency,CQ12020,1.27,1,2020,2020-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12020,4.16,1,2020,2020-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12020,5.44,1,2020,2020-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12020,3.85,1,2020,2020-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12020,4.86,1,2020,2020-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12020,2.97,1,2020,2020-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12020,2.68,1,2020,2020-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12020,3.11,1,2020,2020-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12020,1.41,1,2020,2020-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12020,2.8,1,2020,2020-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12020,3.54,1,2020,2020-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12020,3.34,1,2020,2020-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12020,2.92,1,2020,2020-03-31
+WM,Waste Management,Numeric Transeprency,CQ12020,3.24,1,2020,2020-03-31
+ACN,Accenture,Numeric Transeprency,CQ12020,2.16,1,2020,2020-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12020,1.98,1,2020,2020-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12020,2.44,1,2020,2020-03-31
+APH,Amphenol,Numeric Transeprency,CQ12020,3.02,1,2020,2020-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12020,2.12,1,2020,2020-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12020,2.47,1,2020,2020-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12020,2.3,1,2020,2020-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12020,2.11,1,2020,2020-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12020,2.14,1,2020,2020-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12020,1.96,1,2020,2020-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12020,2.68,1,2020,2020-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12020,2.43,1,2020,2020-03-31
+IBM,IBM,Numeric Transeprency,CQ12020,2.61,1,2020,2020-03-31
+INTC,Intel,Numeric Transeprency,CQ12020,3.29,1,2020,2020-03-31
+INTU,Intuit,Numeric Transeprency,CQ12020,1.5,1,2020,2020-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12020,2.2,1,2020,2020-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12020,1.78,1,2020,2020-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12020,2.91,1,2020,2020-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12020,4.1,1,2020,2020-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12020,1.86,1,2020,2020-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12020,1.72,1,2020,2020-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12020,2.01,1,2020,2020-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12020,3.61,1,2020,2020-03-31
+APD,Air Products,Numeric Transeprency,CQ12020,2.66,1,2020,2020-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12020,,1,2020,2020-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12020,1.69,1,2020,2020-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12020,2.74,1,2020,2020-03-31
+IP,International Paper,Numeric Transeprency,CQ12020,2.47,1,2020,2020-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12020,2.77,1,2020,2020-03-31
+NEM,Newmont,Numeric Transeprency,CQ12020,3.13,1,2020,2020-03-31
+NUE,Nucor,Numeric Transeprency,CQ12020,2.67,1,2020,2020-03-31
+AMT,American Tower,Numeric Transeprency,CQ12020,3.64,1,2020,2020-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12020,3.41,1,2020,2020-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12020,3.34,1,2020,2020-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12020,3.36,1,2020,2020-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12020,3.3,1,2020,2020-03-31
+PLD,Prologis,Numeric Transeprency,CQ12020,2.96,1,2020,2020-03-31
+VTR,Ventas,Numeric Transeprency,CQ12020,2.7,1,2020,2020-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12020,3.34,1,2020,2020-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12020,4.09,1,2020,2020-03-31
+AEE,Ameren,Numeric Transeprency,CQ12020,4.01,1,2020,2020-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12020,3.58,1,2020,2020-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12020,2.56,1,2020,2020-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12020,3.58,1,2020,2020-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12020,3.26,1,2020,2020-03-31
+EIX,Edison International,Numeric Transeprency,CQ12020,3.25,1,2020,2020-03-31
+ETR,Entergy,Numeric Transeprency,CQ12020,2.03,1,2020,2020-03-31
+EXC,Exelon,Numeric Transeprency,CQ12020,2.97,1,2020,2020-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12020,4.3,1,2020,2020-03-31
+SO,Southern Company,Numeric Transeprency,CQ12020,2.84,1,2020,2020-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12020,2.13,1,2020,2020-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12020,21.43,1,2020,2020-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12020,23.26,1,2020,2020-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12020,,1,2020,2020-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12020,23.91,1,2020,2020-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12020,2.5,1,2020,2020-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12020,30.77,1,2020,2020-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12020,30.77,1,2020,2020-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12020,24.44,1,2020,2020-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12020,14.29,1,2020,2020-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12020,29.63,1,2020,2020-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12020,37.93,1,2020,2020-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12020,30.3,1,2020,2020-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12020,75.0,1,2020,2020-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12020,25.0,1,2020,2020-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12020,,1,2020,2020-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12020,83.33,1,2020,2020-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12020,22.58,1,2020,2020-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12020,31.25,1,2020,2020-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12020,21.74,1,2020,2020-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12020,55.56,1,2020,2020-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12020,28.57,1,2020,2020-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12020,39.29,1,2020,2020-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12020,57.14,1,2020,2020-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12020,54.55,1,2020,2020-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12020,35.71,1,2020,2020-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12020,68.75,1,2020,2020-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12020,52.38,1,2020,2020-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12020,34.48,1,2020,2020-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12020,52.94,1,2020,2020-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12020,55.56,1,2020,2020-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12020,83.33,1,2020,2020-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12020,52.63,1,2020,2020-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12020,68.18,1,2020,2020-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12020,66.67,1,2020,2020-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12020,61.29,1,2020,2020-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12020,43.48,1,2020,2020-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12020,,1,2020,2020-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12020,12.5,1,2020,2020-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12020,32.0,1,2020,2020-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12020,31.82,1,2020,2020-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12020,25.81,1,2020,2020-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12020,28.57,1,2020,2020-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12020,29.03,1,2020,2020-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12020,64.71,1,2020,2020-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12020,35.0,1,2020,2020-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12020,39.29,1,2020,2020-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12020,47.37,1,2020,2020-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12020,,1,2020,2020-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12020,31.25,1,2020,2020-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12020,44.44,1,2020,2020-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12020,,1,2020,2020-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12020,42.86,1,2020,2020-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12020,48.0,1,2020,2020-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12020,39.29,1,2020,2020-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12020,44.0,1,2020,2020-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12020,52.94,1,2020,2020-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12020,52.94,1,2020,2020-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12020,47.06,1,2020,2020-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12020,41.67,1,2020,2020-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12020,30.0,1,2020,2020-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12020,0.0,1,2020,2020-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12020,37.5,1,2020,2020-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12020,25.0,1,2020,2020-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12020,52.94,1,2020,2020-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12020,55.0,1,2020,2020-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12020,25.0,1,2020,2020-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12020,29.41,1,2020,2020-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12020,36.36,1,2020,2020-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12020,52.38,1,2020,2020-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12020,,1,2020,2020-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12020,40.91,1,2020,2020-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12020,14.29,1,2020,2020-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12020,29.41,1,2020,2020-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12020,37.5,1,2020,2020-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12020,66.67,1,2020,2020-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12020,37.5,1,2020,2020-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12020,58.82,1,2020,2020-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12020,65.22,1,2020,2020-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12020,41.18,1,2020,2020-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12020,73.33,1,2020,2020-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12020,36.67,1,2020,2020-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12020,66.67,1,2020,2020-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12020,36.0,1,2020,2020-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12020,,1,2020,2020-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12020,66.67,1,2020,2020-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12020,45.45,1,2020,2020-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12020,46.15,1,2020,2020-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12020,69.23,1,2020,2020-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12020,39.13,1,2020,2020-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12020,56.52,1,2020,2020-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12020,35.29,1,2020,2020-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12020,70.59,1,2020,2020-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12020,56.25,1,2020,2020-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12020,45.83,1,2020,2020-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12020,70.59,1,2020,2020-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12020,69.23,1,2020,2020-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12020,35.29,1,2020,2020-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12020,43.75,1,2020,2020-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12020,51.85,1,2020,2020-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12020,68.75,1,2020,2020-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12020,37.5,1,2020,2020-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12020,35.0,1,2020,2020-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12020,64.0,1,2020,2020-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12020,36.0,1,2020,2020-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12020,83.33,1,2020,2020-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12020,32.0,1,2020,2020-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12020,61.9,1,2020,2020-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12020,47.83,1,2020,2020-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12020,27.27,1,2020,2020-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12020,45.0,1,2020,2020-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12020,,1,2020,2020-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12020,52.17,1,2020,2020-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12020,41.18,1,2020,2020-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12020,35.29,1,2020,2020-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12020,47.62,1,2020,2020-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12020,38.89,1,2020,2020-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12020,52.17,1,2020,2020-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12020,0.0,1,2020,2020-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12020,69.57,1,2020,2020-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12020,47.06,1,2020,2020-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12020,31.82,1,2020,2020-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12020,63.64,1,2020,2020-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12020,66.67,1,2020,2020-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12020,27.78,1,2020,2020-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12020,23.08,1,2020,2020-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12020,36.36,1,2020,2020-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12020,22.22,1,2020,2020-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12020,32.0,1,2020,2020-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12020,70.0,1,2020,2020-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12020,87.5,1,2020,2020-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12020,28.0,1,2020,2020-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12020,22.5,1,2020,2020-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12020,43.48,1,2020,2020-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12020,30.77,1,2020,2020-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12020,40.0,1,2020,2020-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12020,46.15,1,2020,2020-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12020,28.0,1,2020,2020-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12020,66.67,1,2020,2020-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12020,22.5,1,2020,2020-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12020,57.14,1,2020,2020-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12020,63.64,1,2020,2020-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12020,32.26,1,2020,2020-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12020,25.81,1,2020,2020-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12020,66.67,1,2020,2020-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12020,68.0,1,2020,2020-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12020,30.77,1,2020,2020-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12020,20.0,1,2020,2020-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12020,25.0,1,2020,2020-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12020,61.9,1,2020,2020-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12020,0.0,1,2020,2020-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12020,52.38,1,2020,2020-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12020,53.33,1,2020,2020-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12020,75.0,1,2020,2020-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12020,44.44,1,2020,2020-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12020,31.25,1,2020,2020-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12020,40.0,1,2020,2020-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12020,36.36,1,2020,2020-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12020,22.22,1,2020,2020-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12020,40.0,1,2020,2020-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12020,62.5,1,2020,2020-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12020,83.33,1,2020,2020-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12020,71.43,1,2020,2020-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12020,50.0,1,2020,2020-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12020,37.5,1,2020,2020-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12020,15.38,1,2020,2020-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12020,23.53,1,2020,2020-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12020,52.94,1,2020,2020-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12020,40.0,1,2020,2020-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12020,45.45,1,2020,2020-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12020,23.08,1,2020,2020-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12020,25.0,1,2020,2020-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12020,33.33,1,2020,2020-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12020,42.86,1,2020,2020-03-31
+T,AT&T,Language Complexity,CQ12020,12.12,1,2020,2020-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12020,13.05,1,2020,2020-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12020,,1,2020,2020-03-31
+META,Meta Platforms,Language Complexity,CQ12020,11.66,1,2020,2020-03-31
+NFLX,Netflix,Language Complexity,CQ12020,10.8,1,2020,2020-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12020,14.97,1,2020,2020-03-31
+OMC,Omnicom Group,Language Complexity,CQ12020,13.34,1,2020,2020-03-31
+VZ,Verizon,Language Complexity,CQ12020,12.7,1,2020,2020-03-31
+AMZN,Amazon,Language Complexity,CQ12020,11.39,1,2020,2020-03-31
+AZO,AutoZone,Language Complexity,CQ12020,12.35,1,2020,2020-03-31
+BBY,Best Buy,Language Complexity,CQ12020,13.04,1,2020,2020-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12020,12.19,1,2020,2020-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12020,11.51,1,2020,2020-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12020,10.46,1,2020,2020-03-31
+F,Ford Motor Company,Language Complexity,CQ12020,12.54,1,2020,2020-03-31
+GM,General Motors,Language Complexity,CQ12020,,1,2020,2020-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12020,12.85,1,2020,2020-03-31
+HAS,Hasbro,Language Complexity,CQ12020,12.55,1,2020,2020-03-31
+LOW,Lowe's,Language Complexity,CQ12020,13.49,1,2020,2020-03-31
+MCD,McDonald's,Language Complexity,CQ12020,13.25,1,2020,2020-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12020,13.11,1,2020,2020-03-31
+ROST,Ross Stores,Language Complexity,CQ12020,10.62,1,2020,2020-03-31
+TJX,TJX Companies,Language Complexity,CQ12020,11.26,1,2020,2020-03-31
+TGT,Target,Language Complexity,CQ12020,12.14,1,2020,2020-03-31
+MO,Altria,Language Complexity,CQ12020,12.55,1,2020,2020-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12020,11.93,1,2020,2020-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12020,13.4,1,2020,2020-03-31
+CLX,Clorox,Language Complexity,CQ12020,11.97,1,2020,2020-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12020,13.32,1,2020,2020-03-31
+COST,Costco,Language Complexity,CQ12020,9.7,1,2020,2020-03-31
+GIS,General Mills,Language Complexity,CQ12020,12.06,1,2020,2020-03-31
+HSY,Hershey Company,Language Complexity,CQ12020,12.78,1,2020,2020-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12020,11.11,1,2020,2020-03-31
+KR,Kroger,Language Complexity,CQ12020,13.87,1,2020,2020-03-31
+MKC,McCormick & Company,Language Complexity,CQ12020,13.04,1,2020,2020-03-31
+PEP,PepsiCo,Language Complexity,CQ12020,13.49,1,2020,2020-03-31
+PG,Procter & Gamble,Language Complexity,CQ12020,11.74,1,2020,2020-03-31
+SYY,Sysco,Language Complexity,CQ12020,13.56,1,2020,2020-03-31
+WMT,Walmart,Language Complexity,CQ12020,10.82,1,2020,2020-03-31
+APA,APA Corporation,Language Complexity,CQ12020,11.5,1,2020,2020-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12020,,1,2020,2020-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12020,12.36,1,2020,2020-03-31
+EOG,EOG Resources,Language Complexity,CQ12020,12.79,1,2020,2020-03-31
+XOM,ExxonMobil,Language Complexity,CQ12020,12.98,1,2020,2020-03-31
+HAL,Halliburton,Language Complexity,CQ12020,13.22,1,2020,2020-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12020,12.65,1,2020,2020-03-31
+SLB,Schlumberger,Language Complexity,CQ12020,12.9,1,2020,2020-03-31
+VLO,Valero Energy,Language Complexity,CQ12020,10.91,1,2020,2020-03-31
+AFL,Aflac,Language Complexity,CQ12020,13.73,1,2020,2020-03-31
+ALL,Allstate,Language Complexity,CQ12020,11.28,1,2020,2020-03-31
+AXP,American Express,Language Complexity,CQ12020,13.0,1,2020,2020-03-31
+AIG,American International Group,Language Complexity,CQ12020,14.32,1,2020,2020-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12020,11.52,1,2020,2020-03-31
+AON,Aon plc,Language Complexity,CQ12020,12.74,1,2020,2020-03-31
+BK,BNY Mellon,Language Complexity,CQ12020,12.47,1,2020,2020-03-31
+BAC,Bank of America,Language Complexity,CQ12020,11.74,1,2020,2020-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12020,,1,2020,2020-03-31
+BLK,BlackRock,Language Complexity,CQ12020,15.4,1,2020,2020-03-31
+CME,CME Group,Language Complexity,CQ12020,10.98,1,2020,2020-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12020,,1,2020,2020-03-31
+CB,Chubb Limited,Language Complexity,CQ12020,10.78,1,2020,2020-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12020,12.33,1,2020,2020-03-31
+C,Citigroup,Language Complexity,CQ12020,13.01,1,2020,2020-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12020,12.87,1,2020,2020-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12020,13.38,1,2020,2020-03-31
+FISV,Fiserv,Language Complexity,CQ12020,12.72,1,2020,2020-03-31
+GS,Goldman Sachs,Language Complexity,CQ12020,13.77,1,2020,2020-03-31
+HIG,Hartford Financial,Language Complexity,CQ12020,12.56,1,2020,2020-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12020,13.06,1,2020,2020-03-31
+IVZ,Invesco,Language Complexity,CQ12020,11.61,1,2020,2020-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12020,10.89,1,2020,2020-03-31
+KEY,KeyCorp,Language Complexity,CQ12020,12.74,1,2020,2020-03-31
+MA,Mastercard,Language Complexity,CQ12020,,1,2020,2020-03-31
+MET,MetLife,Language Complexity,CQ12020,12.12,1,2020,2020-03-31
+MS,Morgan Stanley,Language Complexity,CQ12020,12.29,1,2020,2020-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12020,13.35,1,2020,2020-03-31
+NTRS,Northern Trust,Language Complexity,CQ12020,11.76,1,2020,2020-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12020,10.29,1,2020,2020-03-31
+PRU,Prudential Financial,Language Complexity,CQ12020,12.31,1,2020,2020-03-31
+RF,Regions Financial,Language Complexity,CQ12020,12.08,1,2020,2020-03-31
+SPGI,S&P Global,Language Complexity,CQ12020,13.18,1,2020,2020-03-31
+STT,State Street,Language Complexity,CQ12020,11.78,1,2020,2020-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12020,,1,2020,2020-03-31
+TRV,Travelers Companies,Language Complexity,CQ12020,12.75,1,2020,2020-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12020,11.97,1,2020,2020-03-31
+V,Visa,Language Complexity,CQ12020,12.86,1,2020,2020-03-31
+WFC,Wells Fargo,Language Complexity,CQ12020,12.29,1,2020,2020-03-31
+ABBV,AbbVie,Language Complexity,CQ12020,13.1,1,2020,2020-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12020,11.07,1,2020,2020-03-31
+A,Agilent Technologies,Language Complexity,CQ12020,10.1,1,2020,2020-03-31
+AMGN,Amgen,Language Complexity,CQ12020,12.24,1,2020,2020-03-31
+BAX,Baxter International,Language Complexity,CQ12020,12.51,1,2020,2020-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12020,12.09,1,2020,2020-03-31
+BIIB,Biogen,Language Complexity,CQ12020,13.42,1,2020,2020-03-31
+BSX,Boston Scientific,Language Complexity,CQ12020,13.28,1,2020,2020-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12020,12.66,1,2020,2020-03-31
+CVS,CVS Health,Language Complexity,CQ12020,13.41,1,2020,2020-03-31
+COR,Cencora,Language Complexity,CQ12020,,1,2020,2020-03-31
+CI,Cigna,Language Complexity,CQ12020,14.36,1,2020,2020-03-31
+DVA,DaVita,Language Complexity,CQ12020,10.0,1,2020,2020-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12020,12.49,1,2020,2020-03-31
+LLY,Eli Lilly,Language Complexity,CQ12020,12.37,1,2020,2020-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12020,12.56,1,2020,2020-03-31
+HUM,Humana,Language Complexity,CQ12020,13.09,1,2020,2020-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12020,13.21,1,2020,2020-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12020,14.25,1,2020,2020-03-31
+LH,Labcorp,Language Complexity,CQ12020,12.54,1,2020,2020-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12020,13.79,1,2020,2020-03-31
+MDT,Medtronic,Language Complexity,CQ12020,11.74,1,2020,2020-03-31
+MRK,Merck & Co.,Language Complexity,CQ12020,13.26,1,2020,2020-03-31
+PFE,Pfizer,Language Complexity,CQ12020,12.2,1,2020,2020-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12020,12.82,1,2020,2020-03-31
+WAT,Waters Corporation,Language Complexity,CQ12020,13.27,1,2020,2020-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12020,11.03,1,2020,2020-03-31
+MMM,3M,Language Complexity,CQ12020,12.39,1,2020,2020-03-31
+AME,Ametek,Language Complexity,CQ12020,11.39,1,2020,2020-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12020,12.58,1,2020,2020-03-31
+BA,Boeing,Language Complexity,CQ12020,12.72,1,2020,2020-03-31
+CSX,CSX Corporation,Language Complexity,CQ12020,10.85,1,2020,2020-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12020,11.76,1,2020,2020-03-31
+CTAS,Cintas,Language Complexity,CQ12020,11.22,1,2020,2020-03-31
+CMI,Cummins,Language Complexity,CQ12020,12.34,1,2020,2020-03-31
+DE,Deere & Company,Language Complexity,CQ12020,11.86,1,2020,2020-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12020,11.46,1,2020,2020-03-31
+EMR,Emerson Electric,Language Complexity,CQ12020,9.8,1,2020,2020-03-31
+EFX,Equifax,Language Complexity,CQ12020,13.04,1,2020,2020-03-31
+EXPD,Expeditors International,Language Complexity,CQ12020,,1,2020,2020-03-31
+FDX,FedEx,Language Complexity,CQ12020,12.66,1,2020,2020-03-31
+GE,GE Aerospace,Language Complexity,CQ12020,11.7,1,2020,2020-03-31
+GD,General Dynamics,Language Complexity,CQ12020,11.56,1,2020,2020-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12020,11.71,1,2020,2020-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12020,11.4,1,2020,2020-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12020,11.35,1,2020,2020-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12020,,1,2020,2020-03-31
+PCAR,Paccar,Language Complexity,CQ12020,9.84,1,2020,2020-03-31
+RTX,RTX Corporation,Language Complexity,CQ12020,11.33,1,2020,2020-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12020,12.51,1,2020,2020-03-31
+ROP,Roper Technologies,Language Complexity,CQ12020,10.95,1,2020,2020-03-31
+SNA,Snap-on,Language Complexity,CQ12020,12.11,1,2020,2020-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12020,14.09,1,2020,2020-03-31
+UPS,United Parcel Service,Language Complexity,CQ12020,12.46,1,2020,2020-03-31
+WM,Waste Management,Language Complexity,CQ12020,11.75,1,2020,2020-03-31
+ACN,Accenture,Language Complexity,CQ12020,13.75,1,2020,2020-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12020,14.4,1,2020,2020-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12020,11.14,1,2020,2020-03-31
+APH,Amphenol,Language Complexity,CQ12020,13.57,1,2020,2020-03-31
+ADI,Analog Devices,Language Complexity,CQ12020,11.47,1,2020,2020-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12020,12.38,1,2020,2020-03-31
+AMAT,Applied Materials,Language Complexity,CQ12020,11.33,1,2020,2020-03-31
+ADSK,Autodesk,Language Complexity,CQ12020,11.93,1,2020,2020-03-31
+AVGO,Broadcom,Language Complexity,CQ12020,11.46,1,2020,2020-03-31
+CSCO,Cisco,Language Complexity,CQ12020,11.61,1,2020,2020-03-31
+CTSH,Cognizant,Language Complexity,CQ12020,14.75,1,2020,2020-03-31
+HPQ,HP Inc.,Language Complexity,CQ12020,13.04,1,2020,2020-03-31
+IBM,IBM,Language Complexity,CQ12020,12.82,1,2020,2020-03-31
+INTC,Intel,Language Complexity,CQ12020,11.97,1,2020,2020-03-31
+INTU,Intuit,Language Complexity,CQ12020,12.76,1,2020,2020-03-31
+LRCX,Lam Research,Language Complexity,CQ12020,11.04,1,2020,2020-03-31
+MU,Micron Technology,Language Complexity,CQ12020,13.68,1,2020,2020-03-31
+MSFT,Microsoft,Language Complexity,CQ12020,13.73,1,2020,2020-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12020,11.74,1,2020,2020-03-31
+NTAP,NetApp,Language Complexity,CQ12020,11.64,1,2020,2020-03-31
+NVDA,Nvidia,Language Complexity,CQ12020,11.77,1,2020,2020-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12020,11.82,1,2020,2020-03-31
+TXN,Texas Instruments,Language Complexity,CQ12020,11.09,1,2020,2020-03-31
+APD,Air Products,Language Complexity,CQ12020,10.91,1,2020,2020-03-31
+AVY,Avery Dennison,Language Complexity,CQ12020,,1,2020,2020-03-31
+ECL,Ecolab,Language Complexity,CQ12020,9.86,1,2020,2020-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12020,12.71,1,2020,2020-03-31
+IP,International Paper,Language Complexity,CQ12020,11.66,1,2020,2020-03-31
+LIN,Linde plc,Language Complexity,CQ12020,11.37,1,2020,2020-03-31
+NEM,Newmont,Language Complexity,CQ12020,12.74,1,2020,2020-03-31
+NUE,Nucor,Language Complexity,CQ12020,10.85,1,2020,2020-03-31
+AMT,American Tower,Language Complexity,CQ12020,15.12,1,2020,2020-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12020,11.07,1,2020,2020-03-31
+EQR,Equity Residential,Language Complexity,CQ12020,12.69,1,2020,2020-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12020,11.17,1,2020,2020-03-31
+IRM,Iron Mountain,Language Complexity,CQ12020,13.73,1,2020,2020-03-31
+PLD,Prologis,Language Complexity,CQ12020,10.6,1,2020,2020-03-31
+VTR,Ventas,Language Complexity,CQ12020,11.4,1,2020,2020-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12020,12.16,1,2020,2020-03-31
+AES,AES Corporation,Language Complexity,CQ12020,13.45,1,2020,2020-03-31
+AEE,Ameren,Language Complexity,CQ12020,15.99,1,2020,2020-03-31
+AEP,American Electric Power,Language Complexity,CQ12020,12.95,1,2020,2020-03-31
+CMS,CMS Energy,Language Complexity,CQ12020,12.14,1,2020,2020-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12020,13.5,1,2020,2020-03-31
+DUK,Duke Energy,Language Complexity,CQ12020,13.15,1,2020,2020-03-31
+EIX,Edison International,Language Complexity,CQ12020,14.04,1,2020,2020-03-31
+ETR,Entergy,Language Complexity,CQ12020,13.31,1,2020,2020-03-31
+EXC,Exelon,Language Complexity,CQ12020,13.16,1,2020,2020-03-31
+NEE,NextEra Energy,Language Complexity,CQ12020,16.63,1,2020,2020-03-31
+SO,Southern Company,Language Complexity,CQ12020,11.74,1,2020,2020-03-31
+XEL,Xcel Energy,Language Complexity,CQ12020,12.54,1,2020,2020-03-31
+T,AT&T,Net Positivity,CQ22020,0.22,2,2020,2020-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22020,0.72,2,2020,2020-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22020,,2,2020,2020-06-30
+META,Meta Platforms,Net Positivity,CQ22020,0.0,2,2020,2020-06-30
+NFLX,Netflix,Net Positivity,CQ22020,1.14,2,2020,2020-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22020,-0.25,2,2020,2020-06-30
+OMC,Omnicom Group,Net Positivity,CQ22020,-0.11,2,2020,2020-06-30
+VZ,Verizon,Net Positivity,CQ22020,0.34,2,2020,2020-06-30
+AMZN,Amazon,Net Positivity,CQ22020,0.34,2,2020,2020-06-30
+AZO,AutoZone,Net Positivity,CQ22020,0.02,2,2020,2020-06-30
+BBY,Best Buy,Net Positivity,CQ22020,0.36,2,2020,2020-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22020,0.01,2,2020,2020-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22020,1.35,2,2020,2020-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22020,1.0,2,2020,2020-06-30
+F,Ford Motor Company,Net Positivity,CQ22020,0.07,2,2020,2020-06-30
+GM,General Motors,Net Positivity,CQ22020,0.69,2,2020,2020-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22020,0.55,2,2020,2020-06-30
+HAS,Hasbro,Net Positivity,CQ22020,0.76,2,2020,2020-06-30
+LOW,Lowe's,Net Positivity,CQ22020,1.03,2,2020,2020-06-30
+MCD,McDonald's,Net Positivity,CQ22020,0.08,2,2020,2020-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22020,1.39,2,2020,2020-06-30
+ROST,Ross Stores,Net Positivity,CQ22020,-0.49,2,2020,2020-06-30
+TJX,TJX Companies,Net Positivity,CQ22020,-0.03,2,2020,2020-06-30
+TGT,Target,Net Positivity,CQ22020,0.46,2,2020,2020-06-30
+MO,Altria,Net Positivity,CQ22020,0.04,2,2020,2020-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22020,0.61,2,2020,2020-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22020,-0.07,2,2020,2020-06-30
+CLX,Clorox,Net Positivity,CQ22020,0.94,2,2020,2020-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22020,0.41,2,2020,2020-06-30
+COST,Costco,Net Positivity,CQ22020,0.53,2,2020,2020-06-30
+GIS,General Mills,Net Positivity,CQ22020,,2,2020,2020-06-30
+HSY,Hershey Company,Net Positivity,CQ22020,0.76,2,2020,2020-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22020,0.76,2,2020,2020-06-30
+KR,Kroger,Net Positivity,CQ22020,1.16,2,2020,2020-06-30
+MKC,McCormick & Company,Net Positivity,CQ22020,0.39,2,2020,2020-06-30
+PEP,PepsiCo,Net Positivity,CQ22020,1.24,2,2020,2020-06-30
+PG,Procter & Gamble,Net Positivity,CQ22020,0.11,2,2020,2020-06-30
+SYY,Sysco,Net Positivity,CQ22020,1.02,2,2020,2020-06-30
+WMT,Walmart,Net Positivity,CQ22020,0.42,2,2020,2020-06-30
+APA,APA Corporation,Net Positivity,CQ22020,-0.16,2,2020,2020-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22020,,2,2020,2020-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22020,-0.08,2,2020,2020-06-30
+EOG,EOG Resources,Net Positivity,CQ22020,0.7,2,2020,2020-06-30
+XOM,ExxonMobil,Net Positivity,CQ22020,0.13,2,2020,2020-06-30
+HAL,Halliburton,Net Positivity,CQ22020,-0.2,2,2020,2020-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22020,-0.11,2,2020,2020-06-30
+SLB,Schlumberger,Net Positivity,CQ22020,-0.75,2,2020,2020-06-30
+VLO,Valero Energy,Net Positivity,CQ22020,-0.2,2,2020,2020-06-30
+AFL,Aflac,Net Positivity,CQ22020,-0.83,2,2020,2020-06-30
+ALL,Allstate,Net Positivity,CQ22020,-0.1,2,2020,2020-06-30
+AXP,American Express,Net Positivity,CQ22020,-0.58,2,2020,2020-06-30
+AIG,American International Group,Net Positivity,CQ22020,0.02,2,2020,2020-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22020,2.02,2,2020,2020-06-30
+AON,Aon plc,Net Positivity,CQ22020,0.82,2,2020,2020-06-30
+BK,BNY Mellon,Net Positivity,CQ22020,-0.15,2,2020,2020-06-30
+BAC,Bank of America,Net Positivity,CQ22020,-0.96,2,2020,2020-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22020,,2,2020,2020-06-30
+BLK,BlackRock,Net Positivity,CQ22020,0.6,2,2020,2020-06-30
+CME,CME Group,Net Positivity,CQ22020,-0.28,2,2020,2020-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22020,,2,2020,2020-06-30
+CB,Chubb Limited,Net Positivity,CQ22020,-0.77,2,2020,2020-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22020,-0.62,2,2020,2020-06-30
+C,Citigroup,Net Positivity,CQ22020,-0.57,2,2020,2020-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22020,1.38,2,2020,2020-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22020,-0.69,2,2020,2020-06-30
+FISV,Fiserv,Net Positivity,CQ22020,1.52,2,2020,2020-06-30
+GS,Goldman Sachs,Net Positivity,CQ22020,-0.35,2,2020,2020-06-30
+HIG,Hartford Financial,Net Positivity,CQ22020,-0.88,2,2020,2020-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22020,0.1,2,2020,2020-06-30
+IVZ,Invesco,Net Positivity,CQ22020,0.86,2,2020,2020-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22020,-1.23,2,2020,2020-06-30
+KEY,KeyCorp,Net Positivity,CQ22020,-0.46,2,2020,2020-06-30
+MA,Mastercard,Net Positivity,CQ22020,0.6,2,2020,2020-06-30
+MET,MetLife,Net Positivity,CQ22020,0.04,2,2020,2020-06-30
+MS,Morgan Stanley,Net Positivity,CQ22020,-0.58,2,2020,2020-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22020,0.36,2,2020,2020-06-30
+NTRS,Northern Trust,Net Positivity,CQ22020,0.03,2,2020,2020-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22020,-1.43,2,2020,2020-06-30
+PRU,Prudential Financial,Net Positivity,CQ22020,0.19,2,2020,2020-06-30
+RF,Regions Financial,Net Positivity,CQ22020,-0.67,2,2020,2020-06-30
+SPGI,S&P Global,Net Positivity,CQ22020,0.26,2,2020,2020-06-30
+STT,State Street,Net Positivity,CQ22020,0.15,2,2020,2020-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22020,,2,2020,2020-06-30
+TRV,Travelers Companies,Net Positivity,CQ22020,-0.84,2,2020,2020-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22020,-0.87,2,2020,2020-06-30
+V,Visa,Net Positivity,CQ22020,0.1,2,2020,2020-06-30
+WFC,Wells Fargo,Net Positivity,CQ22020,-1.34,2,2020,2020-06-30
+ABBV,AbbVie,Net Positivity,CQ22020,0.48,2,2020,2020-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22020,0.52,2,2020,2020-06-30
+A,Agilent Technologies,Net Positivity,CQ22020,0.27,2,2020,2020-06-30
+AMGN,Amgen,Net Positivity,CQ22020,0.93,2,2020,2020-06-30
+BAX,Baxter International,Net Positivity,CQ22020,0.16,2,2020,2020-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22020,0.42,2,2020,2020-06-30
+BIIB,Biogen,Net Positivity,CQ22020,1.14,2,2020,2020-06-30
+BSX,Boston Scientific,Net Positivity,CQ22020,0.23,2,2020,2020-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22020,1.44,2,2020,2020-06-30
+CVS,CVS Health,Net Positivity,CQ22020,0.34,2,2020,2020-06-30
+COR,Cencora,Net Positivity,CQ22020,,2,2020,2020-06-30
+CI,Cigna,Net Positivity,CQ22020,0.63,2,2020,2020-06-30
+DVA,DaVita,Net Positivity,CQ22020,-0.22,2,2020,2020-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22020,1.44,2,2020,2020-06-30
+LLY,Eli Lilly,Net Positivity,CQ22020,0.28,2,2020,2020-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22020,0.6,2,2020,2020-06-30
+HUM,Humana,Net Positivity,CQ22020,-0.03,2,2020,2020-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22020,-0.34,2,2020,2020-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22020,0.59,2,2020,2020-06-30
+LH,Labcorp,Net Positivity,CQ22020,-0.16,2,2020,2020-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22020,0.38,2,2020,2020-06-30
+MDT,Medtronic,Net Positivity,CQ22020,0.34,2,2020,2020-06-30
+MRK,Merck & Co.,Net Positivity,CQ22020,0.45,2,2020,2020-06-30
+PFE,Pfizer,Net Positivity,CQ22020,0.73,2,2020,2020-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22020,0.63,2,2020,2020-06-30
+WAT,Waters Corporation,Net Positivity,CQ22020,0.17,2,2020,2020-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22020,0.33,2,2020,2020-06-30
+MMM,3M,Net Positivity,CQ22020,-0.12,2,2020,2020-06-30
+AME,Ametek,Net Positivity,CQ22020,0.36,2,2020,2020-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22020,-0.34,2,2020,2020-06-30
+BA,Boeing,Net Positivity,CQ22020,-0.41,2,2020,2020-06-30
+CSX,CSX Corporation,Net Positivity,CQ22020,0.75,2,2020,2020-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22020,-0.56,2,2020,2020-06-30
+CTAS,Cintas,Net Positivity,CQ22020,,2,2020,2020-06-30
+CMI,Cummins,Net Positivity,CQ22020,-0.26,2,2020,2020-06-30
+DE,Deere & Company,Net Positivity,CQ22020,0.43,2,2020,2020-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22020,-0.51,2,2020,2020-06-30
+EMR,Emerson Electric,Net Positivity,CQ22020,-0.34,2,2020,2020-06-30
+EFX,Equifax,Net Positivity,CQ22020,-0.18,2,2020,2020-06-30
+EXPD,Expeditors International,Net Positivity,CQ22020,,2,2020,2020-06-30
+FDX,FedEx,Net Positivity,CQ22020,1.02,2,2020,2020-06-30
+GE,GE Aerospace,Net Positivity,CQ22020,-0.08,2,2020,2020-06-30
+GD,General Dynamics,Net Positivity,CQ22020,-0.6,2,2020,2020-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22020,0.4,2,2020,2020-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22020,0.8,2,2020,2020-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22020,0.84,2,2020,2020-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22020,0.62,2,2020,2020-06-30
+PCAR,Paccar,Net Positivity,CQ22020,1.44,2,2020,2020-06-30
+RTX,RTX Corporation,Net Positivity,CQ22020,-0.01,2,2020,2020-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22020,-0.03,2,2020,2020-06-30
+ROP,Roper Technologies,Net Positivity,CQ22020,0.19,2,2020,2020-06-30
+SNA,Snap-on,Net Positivity,CQ22020,-0.57,2,2020,2020-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22020,-0.37,2,2020,2020-06-30
+UPS,United Parcel Service,Net Positivity,CQ22020,0.6,2,2020,2020-06-30
+WM,Waste Management,Net Positivity,CQ22020,0.14,2,2020,2020-06-30
+ACN,Accenture,Net Positivity,CQ22020,0.69,2,2020,2020-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22020,2.11,2,2020,2020-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22020,,2,2020,2020-06-30
+APH,Amphenol,Net Positivity,CQ22020,-0.3,2,2020,2020-06-30
+ADI,Analog Devices,Net Positivity,CQ22020,0.32,2,2020,2020-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22020,0.82,2,2020,2020-06-30
+AMAT,Applied Materials,Net Positivity,CQ22020,1.57,2,2020,2020-06-30
+ADSK,Autodesk,Net Positivity,CQ22020,0.27,2,2020,2020-06-30
+AVGO,Broadcom,Net Positivity,CQ22020,0.15,2,2020,2020-06-30
+CSCO,Cisco,Net Positivity,CQ22020,0.49,2,2020,2020-06-30
+CTSH,Cognizant,Net Positivity,CQ22020,0.44,2,2020,2020-06-30
+HPQ,HP Inc.,Net Positivity,CQ22020,0.51,2,2020,2020-06-30
+IBM,IBM,Net Positivity,CQ22020,0.76,2,2020,2020-06-30
+INTC,Intel,Net Positivity,CQ22020,1.33,2,2020,2020-06-30
+INTU,Intuit,Net Positivity,CQ22020,0.93,2,2020,2020-06-30
+LRCX,Lam Research,Net Positivity,CQ22020,0.27,2,2020,2020-06-30
+MU,Micron Technology,Net Positivity,CQ22020,1.22,2,2020,2020-06-30
+MSFT,Microsoft,Net Positivity,CQ22020,0.83,2,2020,2020-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22020,0.07,2,2020,2020-06-30
+NTAP,NetApp,Net Positivity,CQ22020,1.23,2,2020,2020-06-30
+NVDA,Nvidia,Net Positivity,CQ22020,1.2,2,2020,2020-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22020,1.02,2,2020,2020-06-30
+TXN,Texas Instruments,Net Positivity,CQ22020,0.23,2,2020,2020-06-30
+APD,Air Products,Net Positivity,CQ22020,0.22,2,2020,2020-06-30
+AVY,Avery Dennison,Net Positivity,CQ22020,-0.4,2,2020,2020-06-30
+ECL,Ecolab,Net Positivity,CQ22020,0.47,2,2020,2020-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22020,0.82,2,2020,2020-06-30
+IP,International Paper,Net Positivity,CQ22020,0.11,2,2020,2020-06-30
+LIN,Linde plc,Net Positivity,CQ22020,0.58,2,2020,2020-06-30
+NEM,Newmont,Net Positivity,CQ22020,1.2,2,2020,2020-06-30
+NUE,Nucor,Net Positivity,CQ22020,0.32,2,2020,2020-06-30
+AMT,American Tower,Net Positivity,CQ22020,1.06,2,2020,2020-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22020,-0.28,2,2020,2020-06-30
+EQR,Equity Residential,Net Positivity,CQ22020,-0.42,2,2020,2020-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22020,-0.31,2,2020,2020-06-30
+IRM,Iron Mountain,Net Positivity,CQ22020,0.35,2,2020,2020-06-30
+PLD,Prologis,Net Positivity,CQ22020,-0.27,2,2020,2020-06-30
+VTR,Ventas,Net Positivity,CQ22020,0.93,2,2020,2020-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22020,-0.01,2,2020,2020-06-30
+AES,AES Corporation,Net Positivity,CQ22020,0.65,2,2020,2020-06-30
+AEE,Ameren,Net Positivity,CQ22020,0.39,2,2020,2020-06-30
+AEP,American Electric Power,Net Positivity,CQ22020,-0.18,2,2020,2020-06-30
+CMS,CMS Energy,Net Positivity,CQ22020,-0.04,2,2020,2020-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22020,1.09,2,2020,2020-06-30
+DUK,Duke Energy,Net Positivity,CQ22020,0.36,2,2020,2020-06-30
+EIX,Edison International,Net Positivity,CQ22020,-0.52,2,2020,2020-06-30
+ETR,Entergy,Net Positivity,CQ22020,0.36,2,2020,2020-06-30
+EXC,Exelon,Net Positivity,CQ22020,-0.2,2,2020,2020-06-30
+NEE,NextEra Energy,Net Positivity,CQ22020,0.67,2,2020,2020-06-30
+SO,Southern Company,Net Positivity,CQ22020,-0.03,2,2020,2020-06-30
+XEL,Xcel Energy,Net Positivity,CQ22020,-0.13,2,2020,2020-06-30
+T,AT&T,Numeric Transeprency,CQ22020,1.05,2,2020,2020-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22020,1.14,2,2020,2020-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22020,,2,2020,2020-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22020,1.45,2,2020,2020-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22020,0.73,2,2020,2020-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22020,3.24,2,2020,2020-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22020,2.19,2,2020,2020-06-30
+VZ,Verizon,Numeric Transeprency,CQ22020,1.56,2,2020,2020-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22020,0.83,2,2020,2020-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22020,2.06,2,2020,2020-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22020,1.3,2,2020,2020-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22020,0.85,2,2020,2020-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22020,1.66,2,2020,2020-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22020,1.72,2,2020,2020-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22020,1.68,2,2020,2020-06-30
+GM,General Motors,Numeric Transeprency,CQ22020,1.9,2,2020,2020-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22020,2.55,2,2020,2020-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22020,1.23,2,2020,2020-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22020,1.7,2,2020,2020-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22020,0.97,2,2020,2020-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22020,1.3,2,2020,2020-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22020,0.97,2,2020,2020-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22020,1.09,2,2020,2020-06-30
+TGT,Target,Numeric Transeprency,CQ22020,1.17,2,2020,2020-06-30
+MO,Altria,Numeric Transeprency,CQ22020,1.42,2,2020,2020-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22020,1.44,2,2020,2020-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22020,1.08,2,2020,2020-06-30
+CLX,Clorox,Numeric Transeprency,CQ22020,1.28,2,2020,2020-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22020,0.44,2,2020,2020-06-30
+COST,Costco,Numeric Transeprency,CQ22020,3.22,2,2020,2020-06-30
+GIS,General Mills,Numeric Transeprency,CQ22020,,2,2020,2020-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22020,1.21,2,2020,2020-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22020,0.85,2,2020,2020-06-30
+KR,Kroger,Numeric Transeprency,CQ22020,1.28,2,2020,2020-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22020,1.25,2,2020,2020-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22020,0.29,2,2020,2020-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22020,1.49,2,2020,2020-06-30
+SYY,Sysco,Numeric Transeprency,CQ22020,1.32,2,2020,2020-06-30
+WMT,Walmart,Numeric Transeprency,CQ22020,1.01,2,2020,2020-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22020,1.46,2,2020,2020-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22020,,2,2020,2020-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22020,2.24,2,2020,2020-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22020,1.6,2,2020,2020-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22020,1.11,2,2020,2020-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22020,1.74,2,2020,2020-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22020,1.5,2,2020,2020-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22020,1.58,2,2020,2020-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22020,1.77,2,2020,2020-06-30
+AFL,Aflac,Numeric Transeprency,CQ22020,1.95,2,2020,2020-06-30
+ALL,Allstate,Numeric Transeprency,CQ22020,1.51,2,2020,2020-06-30
+AXP,American Express,Numeric Transeprency,CQ22020,1.45,2,2020,2020-06-30
+AIG,American International Group,Numeric Transeprency,CQ22020,2.24,2,2020,2020-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22020,1.88,2,2020,2020-06-30
+AON,Aon plc,Numeric Transeprency,CQ22020,1.14,2,2020,2020-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22020,1.89,2,2020,2020-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22020,2.38,2,2020,2020-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22020,,2,2020,2020-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22020,1.66,2,2020,2020-06-30
+CME,CME Group,Numeric Transeprency,CQ22020,1.57,2,2020,2020-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22020,,2,2020,2020-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22020,1.39,2,2020,2020-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22020,1.83,2,2020,2020-06-30
+C,Citigroup,Numeric Transeprency,CQ22020,2.06,2,2020,2020-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22020,2.26,2,2020,2020-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22020,2.76,2,2020,2020-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22020,1.74,2,2020,2020-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22020,1.87,2,2020,2020-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22020,1.92,2,2020,2020-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22020,1.62,2,2020,2020-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22020,1.42,2,2020,2020-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22020,2.22,2,2020,2020-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22020,1.7,2,2020,2020-06-30
+MA,Mastercard,Numeric Transeprency,CQ22020,0.98,2,2020,2020-06-30
+MET,MetLife,Numeric Transeprency,CQ22020,3.18,2,2020,2020-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22020,2.55,2,2020,2020-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22020,1.77,2,2020,2020-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22020,2.5,2,2020,2020-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22020,3.43,2,2020,2020-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22020,2.0,2,2020,2020-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22020,2.38,2,2020,2020-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22020,2.21,2,2020,2020-06-30
+STT,State Street,Numeric Transeprency,CQ22020,2.01,2,2020,2020-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22020,,2,2020,2020-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22020,2.03,2,2020,2020-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22020,2.02,2,2020,2020-06-30
+V,Visa,Numeric Transeprency,CQ22020,1.99,2,2020,2020-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22020,2.13,2,2020,2020-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22020,1.81,2,2020,2020-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22020,1.17,2,2020,2020-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22020,1.01,2,2020,2020-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22020,1.82,2,2020,2020-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22020,1.47,2,2020,2020-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22020,1.24,2,2020,2020-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22020,2.16,2,2020,2020-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22020,2.43,2,2020,2020-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22020,1.47,2,2020,2020-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22020,1.56,2,2020,2020-06-30
+COR,Cencora,Numeric Transeprency,CQ22020,,2,2020,2020-06-30
+CI,Cigna,Numeric Transeprency,CQ22020,1.14,2,2020,2020-06-30
+DVA,DaVita,Numeric Transeprency,CQ22020,1.0,2,2020,2020-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22020,1.21,2,2020,2020-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22020,1.51,2,2020,2020-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22020,0.73,2,2020,2020-06-30
+HUM,Humana,Numeric Transeprency,CQ22020,0.91,2,2020,2020-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22020,1.55,2,2020,2020-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22020,2.38,2,2020,2020-06-30
+LH,Labcorp,Numeric Transeprency,CQ22020,2.42,2,2020,2020-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22020,2.39,2,2020,2020-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22020,1.13,2,2020,2020-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22020,0.92,2,2020,2020-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22020,1.68,2,2020,2020-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22020,1.97,2,2020,2020-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22020,1.64,2,2020,2020-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22020,1.2,2,2020,2020-06-30
+MMM,3M,Numeric Transeprency,CQ22020,1.71,2,2020,2020-06-30
+AME,Ametek,Numeric Transeprency,CQ22020,1.97,2,2020,2020-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22020,1.41,2,2020,2020-06-30
+BA,Boeing,Numeric Transeprency,CQ22020,2.0,2,2020,2020-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22020,1.58,2,2020,2020-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22020,2.52,2,2020,2020-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22020,,2,2020,2020-06-30
+CMI,Cummins,Numeric Transeprency,CQ22020,2.05,2,2020,2020-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22020,1.5,2,2020,2020-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22020,2.14,2,2020,2020-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22020,2.56,2,2020,2020-06-30
+EFX,Equifax,Numeric Transeprency,CQ22020,3.42,2,2020,2020-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22020,,2,2020,2020-06-30
+FDX,FedEx,Numeric Transeprency,CQ22020,1.48,2,2020,2020-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22020,2.42,2,2020,2020-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22020,2.32,2,2020,2020-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22020,1.48,2,2020,2020-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22020,1.59,2,2020,2020-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22020,1.8,2,2020,2020-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22020,1.81,2,2020,2020-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22020,1.49,2,2020,2020-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22020,3.21,2,2020,2020-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22020,2.22,2,2020,2020-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22020,1.67,2,2020,2020-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22020,3.62,2,2020,2020-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22020,2.27,2,2020,2020-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22020,1.33,2,2020,2020-06-30
+WM,Waste Management,Numeric Transeprency,CQ22020,1.56,2,2020,2020-06-30
+ACN,Accenture,Numeric Transeprency,CQ22020,2.15,2,2020,2020-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22020,1.61,2,2020,2020-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22020,,2,2020,2020-06-30
+APH,Amphenol,Numeric Transeprency,CQ22020,1.72,2,2020,2020-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22020,2.05,2,2020,2020-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22020,1.62,2,2020,2020-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22020,1.51,2,2020,2020-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22020,0.96,2,2020,2020-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22020,2.14,2,2020,2020-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22020,1.58,2,2020,2020-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22020,1.58,2,2020,2020-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22020,1.89,2,2020,2020-06-30
+IBM,IBM,Numeric Transeprency,CQ22020,1.45,2,2020,2020-06-30
+INTC,Intel,Numeric Transeprency,CQ22020,1.57,2,2020,2020-06-30
+INTU,Intuit,Numeric Transeprency,CQ22020,1.37,2,2020,2020-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22020,1.28,2,2020,2020-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22020,1.9,2,2020,2020-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22020,2.59,2,2020,2020-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22020,1.94,2,2020,2020-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22020,1.59,2,2020,2020-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22020,1.62,2,2020,2020-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22020,1.88,2,2020,2020-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22020,1.87,2,2020,2020-06-30
+APD,Air Products,Numeric Transeprency,CQ22020,2.55,2,2020,2020-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22020,1.13,2,2020,2020-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22020,0.56,2,2020,2020-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22020,1.25,2,2020,2020-06-30
+IP,International Paper,Numeric Transeprency,CQ22020,1.33,2,2020,2020-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22020,1.95,2,2020,2020-06-30
+NEM,Newmont,Numeric Transeprency,CQ22020,2.28,2,2020,2020-06-30
+NUE,Nucor,Numeric Transeprency,CQ22020,1.44,2,2020,2020-06-30
+AMT,American Tower,Numeric Transeprency,CQ22020,2.03,2,2020,2020-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22020,2.42,2,2020,2020-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22020,1.22,2,2020,2020-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22020,2.08,2,2020,2020-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22020,2.14,2,2020,2020-06-30
+PLD,Prologis,Numeric Transeprency,CQ22020,2.49,2,2020,2020-06-30
+VTR,Ventas,Numeric Transeprency,CQ22020,1.87,2,2020,2020-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22020,2.32,2,2020,2020-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22020,3.18,2,2020,2020-06-30
+AEE,Ameren,Numeric Transeprency,CQ22020,2.88,2,2020,2020-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22020,2.82,2,2020,2020-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22020,1.75,2,2020,2020-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22020,2.84,2,2020,2020-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22020,1.8,2,2020,2020-06-30
+EIX,Edison International,Numeric Transeprency,CQ22020,2.15,2,2020,2020-06-30
+ETR,Entergy,Numeric Transeprency,CQ22020,1.81,2,2020,2020-06-30
+EXC,Exelon,Numeric Transeprency,CQ22020,2.47,2,2020,2020-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22020,2.53,2,2020,2020-06-30
+SO,Southern Company,Numeric Transeprency,CQ22020,1.82,2,2020,2020-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22020,1.75,2,2020,2020-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22020,24.14,2,2020,2020-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22020,22.22,2,2020,2020-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22020,,2,2020,2020-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22020,17.07,2,2020,2020-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22020,2.7,2,2020,2020-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22020,22.22,2,2020,2020-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22020,33.33,2,2020,2020-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22020,32.0,2,2020,2020-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22020,18.6,2,2020,2020-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22020,34.78,2,2020,2020-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22020,21.43,2,2020,2020-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22020,27.59,2,2020,2020-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22020,37.5,2,2020,2020-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22020,72.41,2,2020,2020-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22020,21.05,2,2020,2020-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22020,45.0,2,2020,2020-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22020,35.71,2,2020,2020-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22020,58.82,2,2020,2020-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22020,21.88,2,2020,2020-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22020,30.0,2,2020,2020-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22020,21.88,2,2020,2020-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22020,59.26,2,2020,2020-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22020,20.69,2,2020,2020-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22020,21.43,2,2020,2020-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22020,50.0,2,2020,2020-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22020,80.0,2,2020,2020-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22020,46.67,2,2020,2020-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22020,53.33,2,2020,2020-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22020,65.0,2,2020,2020-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22020,23.33,2,2020,2020-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22020,,2,2020,2020-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22020,57.89,2,2020,2020-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22020,66.67,2,2020,2020-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22020,30.43,2,2020,2020-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22020,58.33,2,2020,2020-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22020,70.59,2,2020,2020-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22020,65.0,2,2020,2020-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22020,33.33,2,2020,2020-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22020,32.35,2,2020,2020-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22020,25.0,2,2020,2020-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22020,,2,2020,2020-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22020,4.55,2,2020,2020-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22020,23.08,2,2020,2020-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22020,42.11,2,2020,2020-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22020,28.0,2,2020,2020-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22020,28.57,2,2020,2020-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22020,28.57,2,2020,2020-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22020,61.11,2,2020,2020-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22020,41.67,2,2020,2020-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22020,22.22,2,2020,2020-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22020,37.04,2,2020,2020-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22020,50.0,2,2020,2020-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22020,36.36,2,2020,2020-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22020,53.85,2,2020,2020-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22020,44.44,2,2020,2020-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22020,33.33,2,2020,2020-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22020,,2,2020,2020-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22020,31.25,2,2020,2020-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22020,68.42,2,2020,2020-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22020,,2,2020,2020-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22020,47.62,2,2020,2020-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22020,85.71,2,2020,2020-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22020,33.33,2,2020,2020-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22020,23.08,2,2020,2020-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22020,28.57,2,2020,2020-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22020,28.57,2,2020,2020-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22020,40.91,2,2020,2020-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22020,25.0,2,2020,2020-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22020,38.89,2,2020,2020-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22020,41.18,2,2020,2020-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22020,39.13,2,2020,2020-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22020,42.11,2,2020,2020-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22020,18.18,2,2020,2020-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22020,33.33,2,2020,2020-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22020,26.09,2,2020,2020-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22020,66.67,2,2020,2020-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22020,60.0,2,2020,2020-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22020,19.05,2,2020,2020-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22020,43.75,2,2020,2020-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22020,47.83,2,2020,2020-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22020,53.85,2,2020,2020-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22020,61.11,2,2020,2020-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22020,,2,2020,2020-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22020,23.81,2,2020,2020-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22020,14.29,2,2020,2020-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22020,25.0,2,2020,2020-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22020,50.0,2,2020,2020-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22020,71.43,2,2020,2020-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22020,29.41,2,2020,2020-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22020,53.33,2,2020,2020-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22020,72.0,2,2020,2020-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22020,47.06,2,2020,2020-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22020,53.33,2,2020,2020-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22020,26.92,2,2020,2020-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22020,30.43,2,2020,2020-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22020,69.23,2,2020,2020-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22020,44.0,2,2020,2020-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22020,,2,2020,2020-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22020,15.79,2,2020,2020-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22020,60.0,2,2020,2020-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22020,25.0,2,2020,2020-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22020,71.43,2,2020,2020-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22020,37.04,2,2020,2020-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22020,54.55,2,2020,2020-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22020,38.89,2,2020,2020-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22020,37.5,2,2020,2020-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22020,41.18,2,2020,2020-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22020,52.94,2,2020,2020-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22020,26.32,2,2020,2020-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22020,56.25,2,2020,2020-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22020,57.14,2,2020,2020-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22020,23.53,2,2020,2020-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22020,35.29,2,2020,2020-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22020,30.77,2,2020,2020-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22020,56.25,2,2020,2020-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22020,60.0,2,2020,2020-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22020,31.25,2,2020,2020-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22020,52.94,2,2020,2020-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22020,60.71,2,2020,2020-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22020,43.48,2,2020,2020-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22020,,2,2020,2020-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22020,29.17,2,2020,2020-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22020,45.0,2,2020,2020-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22020,30.43,2,2020,2020-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22020,34.78,2,2020,2020-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22020,47.37,2,2020,2020-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22020,,2,2020,2020-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22020,59.26,2,2020,2020-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22020,31.25,2,2020,2020-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22020,46.67,2,2020,2020-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22020,42.86,2,2020,2020-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22020,43.75,2,2020,2020-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22020,50.0,2,2020,2020-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22020,80.0,2,2020,2020-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22020,77.27,2,2020,2020-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22020,54.55,2,2020,2020-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22020,25.0,2,2020,2020-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22020,33.33,2,2020,2020-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22020,66.67,2,2020,2020-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22020,44.44,2,2020,2020-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22020,39.13,2,2020,2020-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22020,61.54,2,2020,2020-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22020,22.73,2,2020,2020-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22020,37.04,2,2020,2020-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22020,,2,2020,2020-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22020,81.25,2,2020,2020-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22020,24.0,2,2020,2020-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22020,19.44,2,2020,2020-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22020,30.43,2,2020,2020-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22020,44.0,2,2020,2020-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22020,21.43,2,2020,2020-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22020,33.33,2,2020,2020-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22020,11.54,2,2020,2020-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22020,42.86,2,2020,2020-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22020,50.0,2,2020,2020-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22020,29.73,2,2020,2020-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22020,47.62,2,2020,2020-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22020,45.0,2,2020,2020-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22020,33.33,2,2020,2020-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22020,25.81,2,2020,2020-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22020,60.0,2,2020,2020-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22020,56.25,2,2020,2020-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22020,29.73,2,2020,2020-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22020,13.79,2,2020,2020-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22020,40.74,2,2020,2020-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22020,65.22,2,2020,2020-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22020,60.0,2,2020,2020-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22020,62.5,2,2020,2020-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22020,53.85,2,2020,2020-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22020,66.67,2,2020,2020-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22020,41.18,2,2020,2020-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22020,41.18,2,2020,2020-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22020,50.0,2,2020,2020-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22020,45.45,2,2020,2020-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22020,33.33,2,2020,2020-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22020,41.67,2,2020,2020-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22020,44.44,2,2020,2020-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22020,33.33,2,2020,2020-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22020,60.0,2,2020,2020-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22020,50.0,2,2020,2020-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22020,54.55,2,2020,2020-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22020,11.11,2,2020,2020-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22020,15.38,2,2020,2020-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22020,47.06,2,2020,2020-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22020,62.5,2,2020,2020-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22020,45.45,2,2020,2020-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22020,37.5,2,2020,2020-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22020,38.46,2,2020,2020-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22020,40.0,2,2020,2020-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22020,35.29,2,2020,2020-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22020,35.29,2,2020,2020-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22020,75.0,2,2020,2020-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22020,28.57,2,2020,2020-06-30
+T,AT&T,Language Complexity,CQ22020,12.02,2,2020,2020-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22020,12.17,2,2020,2020-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22020,,2,2020,2020-06-30
+META,Meta Platforms,Language Complexity,CQ22020,12.79,2,2020,2020-06-30
+NFLX,Netflix,Language Complexity,CQ22020,10.85,2,2020,2020-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22020,14.62,2,2020,2020-06-30
+OMC,Omnicom Group,Language Complexity,CQ22020,13.64,2,2020,2020-06-30
+VZ,Verizon,Language Complexity,CQ22020,12.67,2,2020,2020-06-30
+AMZN,Amazon,Language Complexity,CQ22020,12.62,2,2020,2020-06-30
+AZO,AutoZone,Language Complexity,CQ22020,12.05,2,2020,2020-06-30
+BBY,Best Buy,Language Complexity,CQ22020,13.81,2,2020,2020-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22020,12.58,2,2020,2020-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22020,12.63,2,2020,2020-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22020,10.55,2,2020,2020-06-30
+F,Ford Motor Company,Language Complexity,CQ22020,12.83,2,2020,2020-06-30
+GM,General Motors,Language Complexity,CQ22020,13.46,2,2020,2020-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22020,13.56,2,2020,2020-06-30
+HAS,Hasbro,Language Complexity,CQ22020,12.64,2,2020,2020-06-30
+LOW,Lowe's,Language Complexity,CQ22020,13.33,2,2020,2020-06-30
+MCD,McDonald's,Language Complexity,CQ22020,13.42,2,2020,2020-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22020,14.34,2,2020,2020-06-30
+ROST,Ross Stores,Language Complexity,CQ22020,11.62,2,2020,2020-06-30
+TJX,TJX Companies,Language Complexity,CQ22020,12.15,2,2020,2020-06-30
+TGT,Target,Language Complexity,CQ22020,14.48,2,2020,2020-06-30
+MO,Altria,Language Complexity,CQ22020,12.07,2,2020,2020-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22020,11.94,2,2020,2020-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22020,12.17,2,2020,2020-06-30
+CLX,Clorox,Language Complexity,CQ22020,12.66,2,2020,2020-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22020,13.49,2,2020,2020-06-30
+COST,Costco,Language Complexity,CQ22020,10.58,2,2020,2020-06-30
+GIS,General Mills,Language Complexity,CQ22020,,2,2020,2020-06-30
+HSY,Hershey Company,Language Complexity,CQ22020,12.15,2,2020,2020-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22020,11.57,2,2020,2020-06-30
+KR,Kroger,Language Complexity,CQ22020,14.04,2,2020,2020-06-30
+MKC,McCormick & Company,Language Complexity,CQ22020,13.92,2,2020,2020-06-30
+PEP,PepsiCo,Language Complexity,CQ22020,12.62,2,2020,2020-06-30
+PG,Procter & Gamble,Language Complexity,CQ22020,13.19,2,2020,2020-06-30
+SYY,Sysco,Language Complexity,CQ22020,13.73,2,2020,2020-06-30
+WMT,Walmart,Language Complexity,CQ22020,12.05,2,2020,2020-06-30
+APA,APA Corporation,Language Complexity,CQ22020,11.72,2,2020,2020-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22020,,2,2020,2020-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22020,12.46,2,2020,2020-06-30
+EOG,EOG Resources,Language Complexity,CQ22020,12.7,2,2020,2020-06-30
+XOM,ExxonMobil,Language Complexity,CQ22020,12.73,2,2020,2020-06-30
+HAL,Halliburton,Language Complexity,CQ22020,13.59,2,2020,2020-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22020,12.55,2,2020,2020-06-30
+SLB,Schlumberger,Language Complexity,CQ22020,13.77,2,2020,2020-06-30
+VLO,Valero Energy,Language Complexity,CQ22020,11.03,2,2020,2020-06-30
+AFL,Aflac,Language Complexity,CQ22020,14.3,2,2020,2020-06-30
+ALL,Allstate,Language Complexity,CQ22020,12.45,2,2020,2020-06-30
+AXP,American Express,Language Complexity,CQ22020,13.21,2,2020,2020-06-30
+AIG,American International Group,Language Complexity,CQ22020,13.97,2,2020,2020-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22020,12.21,2,2020,2020-06-30
+AON,Aon plc,Language Complexity,CQ22020,14.05,2,2020,2020-06-30
+BK,BNY Mellon,Language Complexity,CQ22020,11.96,2,2020,2020-06-30
+BAC,Bank of America,Language Complexity,CQ22020,11.69,2,2020,2020-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22020,,2,2020,2020-06-30
+BLK,BlackRock,Language Complexity,CQ22020,15.69,2,2020,2020-06-30
+CME,CME Group,Language Complexity,CQ22020,11.2,2,2020,2020-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22020,,2,2020,2020-06-30
+CB,Chubb Limited,Language Complexity,CQ22020,11.99,2,2020,2020-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22020,12.61,2,2020,2020-06-30
+C,Citigroup,Language Complexity,CQ22020,13.37,2,2020,2020-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22020,12.98,2,2020,2020-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22020,13.85,2,2020,2020-06-30
+FISV,Fiserv,Language Complexity,CQ22020,13.0,2,2020,2020-06-30
+GS,Goldman Sachs,Language Complexity,CQ22020,14.25,2,2020,2020-06-30
+HIG,Hartford Financial,Language Complexity,CQ22020,13.33,2,2020,2020-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22020,13.71,2,2020,2020-06-30
+IVZ,Invesco,Language Complexity,CQ22020,12.18,2,2020,2020-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22020,11.55,2,2020,2020-06-30
+KEY,KeyCorp,Language Complexity,CQ22020,12.15,2,2020,2020-06-30
+MA,Mastercard,Language Complexity,CQ22020,12.82,2,2020,2020-06-30
+MET,MetLife,Language Complexity,CQ22020,13.17,2,2020,2020-06-30
+MS,Morgan Stanley,Language Complexity,CQ22020,11.53,2,2020,2020-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22020,14.44,2,2020,2020-06-30
+NTRS,Northern Trust,Language Complexity,CQ22020,11.6,2,2020,2020-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22020,12.37,2,2020,2020-06-30
+PRU,Prudential Financial,Language Complexity,CQ22020,13.33,2,2020,2020-06-30
+RF,Regions Financial,Language Complexity,CQ22020,13.46,2,2020,2020-06-30
+SPGI,S&P Global,Language Complexity,CQ22020,12.63,2,2020,2020-06-30
+STT,State Street,Language Complexity,CQ22020,12.45,2,2020,2020-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22020,,2,2020,2020-06-30
+TRV,Travelers Companies,Language Complexity,CQ22020,13.96,2,2020,2020-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22020,13.39,2,2020,2020-06-30
+V,Visa,Language Complexity,CQ22020,12.91,2,2020,2020-06-30
+WFC,Wells Fargo,Language Complexity,CQ22020,12.97,2,2020,2020-06-30
+ABBV,AbbVie,Language Complexity,CQ22020,13.51,2,2020,2020-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22020,11.94,2,2020,2020-06-30
+A,Agilent Technologies,Language Complexity,CQ22020,10.7,2,2020,2020-06-30
+AMGN,Amgen,Language Complexity,CQ22020,12.67,2,2020,2020-06-30
+BAX,Baxter International,Language Complexity,CQ22020,12.47,2,2020,2020-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22020,13.42,2,2020,2020-06-30
+BIIB,Biogen,Language Complexity,CQ22020,14.59,2,2020,2020-06-30
+BSX,Boston Scientific,Language Complexity,CQ22020,13.8,2,2020,2020-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22020,12.43,2,2020,2020-06-30
+CVS,CVS Health,Language Complexity,CQ22020,13.17,2,2020,2020-06-30
+COR,Cencora,Language Complexity,CQ22020,,2,2020,2020-06-30
+CI,Cigna,Language Complexity,CQ22020,15.01,2,2020,2020-06-30
+DVA,DaVita,Language Complexity,CQ22020,10.83,2,2020,2020-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22020,13.23,2,2020,2020-06-30
+LLY,Eli Lilly,Language Complexity,CQ22020,12.64,2,2020,2020-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22020,12.11,2,2020,2020-06-30
+HUM,Humana,Language Complexity,CQ22020,14.17,2,2020,2020-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22020,12.8,2,2020,2020-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22020,15.26,2,2020,2020-06-30
+LH,Labcorp,Language Complexity,CQ22020,13.42,2,2020,2020-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22020,14.68,2,2020,2020-06-30
+MDT,Medtronic,Language Complexity,CQ22020,12.75,2,2020,2020-06-30
+MRK,Merck & Co.,Language Complexity,CQ22020,14.18,2,2020,2020-06-30
+PFE,Pfizer,Language Complexity,CQ22020,13.61,2,2020,2020-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22020,12.99,2,2020,2020-06-30
+WAT,Waters Corporation,Language Complexity,CQ22020,14.57,2,2020,2020-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22020,12.84,2,2020,2020-06-30
+MMM,3M,Language Complexity,CQ22020,12.17,2,2020,2020-06-30
+AME,Ametek,Language Complexity,CQ22020,11.5,2,2020,2020-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22020,13.55,2,2020,2020-06-30
+BA,Boeing,Language Complexity,CQ22020,13.28,2,2020,2020-06-30
+CSX,CSX Corporation,Language Complexity,CQ22020,11.55,2,2020,2020-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22020,12.6,2,2020,2020-06-30
+CTAS,Cintas,Language Complexity,CQ22020,,2,2020,2020-06-30
+CMI,Cummins,Language Complexity,CQ22020,12.64,2,2020,2020-06-30
+DE,Deere & Company,Language Complexity,CQ22020,13.52,2,2020,2020-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22020,12.02,2,2020,2020-06-30
+EMR,Emerson Electric,Language Complexity,CQ22020,10.89,2,2020,2020-06-30
+EFX,Equifax,Language Complexity,CQ22020,14.45,2,2020,2020-06-30
+EXPD,Expeditors International,Language Complexity,CQ22020,,2,2020,2020-06-30
+FDX,FedEx,Language Complexity,CQ22020,13.25,2,2020,2020-06-30
+GE,GE Aerospace,Language Complexity,CQ22020,11.88,2,2020,2020-06-30
+GD,General Dynamics,Language Complexity,CQ22020,12.51,2,2020,2020-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22020,12.87,2,2020,2020-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22020,12.25,2,2020,2020-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22020,11.93,2,2020,2020-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22020,12.92,2,2020,2020-06-30
+PCAR,Paccar,Language Complexity,CQ22020,11.06,2,2020,2020-06-30
+RTX,RTX Corporation,Language Complexity,CQ22020,11.68,2,2020,2020-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22020,12.7,2,2020,2020-06-30
+ROP,Roper Technologies,Language Complexity,CQ22020,12.14,2,2020,2020-06-30
+SNA,Snap-on,Language Complexity,CQ22020,11.9,2,2020,2020-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22020,13.95,2,2020,2020-06-30
+UPS,United Parcel Service,Language Complexity,CQ22020,12.24,2,2020,2020-06-30
+WM,Waste Management,Language Complexity,CQ22020,11.9,2,2020,2020-06-30
+ACN,Accenture,Language Complexity,CQ22020,12.96,2,2020,2020-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22020,15.17,2,2020,2020-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22020,,2,2020,2020-06-30
+APH,Amphenol,Language Complexity,CQ22020,13.39,2,2020,2020-06-30
+ADI,Analog Devices,Language Complexity,CQ22020,12.55,2,2020,2020-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22020,12.76,2,2020,2020-06-30
+AMAT,Applied Materials,Language Complexity,CQ22020,12.35,2,2020,2020-06-30
+ADSK,Autodesk,Language Complexity,CQ22020,11.57,2,2020,2020-06-30
+AVGO,Broadcom,Language Complexity,CQ22020,11.7,2,2020,2020-06-30
+CSCO,Cisco,Language Complexity,CQ22020,12.7,2,2020,2020-06-30
+CTSH,Cognizant,Language Complexity,CQ22020,13.78,2,2020,2020-06-30
+HPQ,HP Inc.,Language Complexity,CQ22020,13.45,2,2020,2020-06-30
+IBM,IBM,Language Complexity,CQ22020,12.52,2,2020,2020-06-30
+INTC,Intel,Language Complexity,CQ22020,12.69,2,2020,2020-06-30
+INTU,Intuit,Language Complexity,CQ22020,12.86,2,2020,2020-06-30
+LRCX,Lam Research,Language Complexity,CQ22020,12.05,2,2020,2020-06-30
+MU,Micron Technology,Language Complexity,CQ22020,13.49,2,2020,2020-06-30
+MSFT,Microsoft,Language Complexity,CQ22020,14.2,2,2020,2020-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22020,11.73,2,2020,2020-06-30
+NTAP,NetApp,Language Complexity,CQ22020,12.78,2,2020,2020-06-30
+NVDA,Nvidia,Language Complexity,CQ22020,11.4,2,2020,2020-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22020,13.23,2,2020,2020-06-30
+TXN,Texas Instruments,Language Complexity,CQ22020,11.04,2,2020,2020-06-30
+APD,Air Products,Language Complexity,CQ22020,11.47,2,2020,2020-06-30
+AVY,Avery Dennison,Language Complexity,CQ22020,12.56,2,2020,2020-06-30
+ECL,Ecolab,Language Complexity,CQ22020,11.33,2,2020,2020-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22020,13.4,2,2020,2020-06-30
+IP,International Paper,Language Complexity,CQ22020,11.77,2,2020,2020-06-30
+LIN,Linde plc,Language Complexity,CQ22020,11.24,2,2020,2020-06-30
+NEM,Newmont,Language Complexity,CQ22020,13.54,2,2020,2020-06-30
+NUE,Nucor,Language Complexity,CQ22020,12.58,2,2020,2020-06-30
+AMT,American Tower,Language Complexity,CQ22020,14.1,2,2020,2020-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22020,11.73,2,2020,2020-06-30
+EQR,Equity Residential,Language Complexity,CQ22020,10.97,2,2020,2020-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22020,11.33,2,2020,2020-06-30
+IRM,Iron Mountain,Language Complexity,CQ22020,15.1,2,2020,2020-06-30
+PLD,Prologis,Language Complexity,CQ22020,11.28,2,2020,2020-06-30
+VTR,Ventas,Language Complexity,CQ22020,12.8,2,2020,2020-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22020,12.77,2,2020,2020-06-30
+AES,AES Corporation,Language Complexity,CQ22020,12.71,2,2020,2020-06-30
+AEE,Ameren,Language Complexity,CQ22020,14.8,2,2020,2020-06-30
+AEP,American Electric Power,Language Complexity,CQ22020,13.06,2,2020,2020-06-30
+CMS,CMS Energy,Language Complexity,CQ22020,11.79,2,2020,2020-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22020,12.84,2,2020,2020-06-30
+DUK,Duke Energy,Language Complexity,CQ22020,13.43,2,2020,2020-06-30
+EIX,Edison International,Language Complexity,CQ22020,14.38,2,2020,2020-06-30
+ETR,Entergy,Language Complexity,CQ22020,12.47,2,2020,2020-06-30
+EXC,Exelon,Language Complexity,CQ22020,12.33,2,2020,2020-06-30
+NEE,NextEra Energy,Language Complexity,CQ22020,16.65,2,2020,2020-06-30
+SO,Southern Company,Language Complexity,CQ22020,11.04,2,2020,2020-06-30
+XEL,Xcel Energy,Language Complexity,CQ22020,12.68,2,2020,2020-06-30
+T,AT&T,Net Positivity,CQ32020,0.98,3,2020,2020-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32020,1.58,3,2020,2020-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32020,,3,2020,2020-09-30
+META,Meta Platforms,Net Positivity,CQ32020,0.69,3,2020,2020-09-30
+NFLX,Netflix,Net Positivity,CQ32020,2.0,3,2020,2020-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32020,0.1,3,2020,2020-09-30
+OMC,Omnicom Group,Net Positivity,CQ32020,-0.22,3,2020,2020-09-30
+VZ,Verizon,Net Positivity,CQ32020,1.06,3,2020,2020-09-30
+AMZN,Amazon,Net Positivity,CQ32020,0.87,3,2020,2020-09-30
+AZO,AutoZone,Net Positivity,CQ32020,0.58,3,2020,2020-09-30
+BBY,Best Buy,Net Positivity,CQ32020,0.78,3,2020,2020-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32020,0.26,3,2020,2020-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32020,1.52,3,2020,2020-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32020,1.39,3,2020,2020-09-30
+F,Ford Motor Company,Net Positivity,CQ32020,1.57,3,2020,2020-09-30
+GM,General Motors,Net Positivity,CQ32020,1.07,3,2020,2020-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32020,1.76,3,2020,2020-09-30
+HAS,Hasbro,Net Positivity,CQ32020,0.71,3,2020,2020-09-30
+LOW,Lowe's,Net Positivity,CQ32020,1.65,3,2020,2020-09-30
+MCD,McDonald's,Net Positivity,CQ32020,0.73,3,2020,2020-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32020,2.02,3,2020,2020-09-30
+ROST,Ross Stores,Net Positivity,CQ32020,0.07,3,2020,2020-09-30
+TJX,TJX Companies,Net Positivity,CQ32020,1.35,3,2020,2020-09-30
+TGT,Target,Net Positivity,CQ32020,1.01,3,2020,2020-09-30
+MO,Altria,Net Positivity,CQ32020,1.12,3,2020,2020-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32020,1.64,3,2020,2020-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32020,0.47,3,2020,2020-09-30
+CLX,Clorox,Net Positivity,CQ32020,1.57,3,2020,2020-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32020,1.39,3,2020,2020-09-30
+COST,Costco,Net Positivity,CQ32020,0.66,3,2020,2020-09-30
+GIS,General Mills,Net Positivity,CQ32020,0.77,3,2020,2020-09-30
+HSY,Hershey Company,Net Positivity,CQ32020,1.02,3,2020,2020-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32020,1.17,3,2020,2020-09-30
+KR,Kroger,Net Positivity,CQ32020,1.58,3,2020,2020-09-30
+MKC,McCormick & Company,Net Positivity,CQ32020,0.65,3,2020,2020-09-30
+PEP,PepsiCo,Net Positivity,CQ32020,1.15,3,2020,2020-09-30
+PG,Procter & Gamble,Net Positivity,CQ32020,0.99,3,2020,2020-09-30
+SYY,Sysco,Net Positivity,CQ32020,1.22,3,2020,2020-09-30
+WMT,Walmart,Net Positivity,CQ32020,1.23,3,2020,2020-09-30
+APA,APA Corporation,Net Positivity,CQ32020,0.55,3,2020,2020-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32020,,3,2020,2020-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32020,0.97,3,2020,2020-09-30
+EOG,EOG Resources,Net Positivity,CQ32020,1.29,3,2020,2020-09-30
+XOM,ExxonMobil,Net Positivity,CQ32020,0.47,3,2020,2020-09-30
+HAL,Halliburton,Net Positivity,CQ32020,1.19,3,2020,2020-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32020,0.32,3,2020,2020-09-30
+SLB,Schlumberger,Net Positivity,CQ32020,0.65,3,2020,2020-09-30
+VLO,Valero Energy,Net Positivity,CQ32020,0.1,3,2020,2020-09-30
+AFL,Aflac,Net Positivity,CQ32020,0.19,3,2020,2020-09-30
+ALL,Allstate,Net Positivity,CQ32020,0.25,3,2020,2020-09-30
+AXP,American Express,Net Positivity,CQ32020,0.38,3,2020,2020-09-30
+AIG,American International Group,Net Positivity,CQ32020,0.32,3,2020,2020-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32020,1.93,3,2020,2020-09-30
+AON,Aon plc,Net Positivity,CQ32020,1.33,3,2020,2020-09-30
+BK,BNY Mellon,Net Positivity,CQ32020,0.5,3,2020,2020-09-30
+BAC,Bank of America,Net Positivity,CQ32020,-0.3,3,2020,2020-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32020,,3,2020,2020-09-30
+BLK,BlackRock,Net Positivity,CQ32020,0.85,3,2020,2020-09-30
+CME,CME Group,Net Positivity,CQ32020,0.52,3,2020,2020-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32020,,3,2020,2020-09-30
+CB,Chubb Limited,Net Positivity,CQ32020,-0.89,3,2020,2020-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32020,-0.37,3,2020,2020-09-30
+C,Citigroup,Net Positivity,CQ32020,-0.04,3,2020,2020-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32020,1.85,3,2020,2020-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32020,0.51,3,2020,2020-09-30
+FISV,Fiserv,Net Positivity,CQ32020,1.76,3,2020,2020-09-30
+GS,Goldman Sachs,Net Positivity,CQ32020,0.37,3,2020,2020-09-30
+HIG,Hartford Financial,Net Positivity,CQ32020,-0.43,3,2020,2020-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32020,0.65,3,2020,2020-09-30
+IVZ,Invesco,Net Positivity,CQ32020,1.18,3,2020,2020-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32020,-1.0,3,2020,2020-09-30
+KEY,KeyCorp,Net Positivity,CQ32020,-0.11,3,2020,2020-09-30
+MA,Mastercard,Net Positivity,CQ32020,1.07,3,2020,2020-09-30
+MET,MetLife,Net Positivity,CQ32020,0.0,3,2020,2020-09-30
+MS,Morgan Stanley,Net Positivity,CQ32020,0.76,3,2020,2020-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32020,1.14,3,2020,2020-09-30
+NTRS,Northern Trust,Net Positivity,CQ32020,-0.21,3,2020,2020-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32020,-0.27,3,2020,2020-09-30
+PRU,Prudential Financial,Net Positivity,CQ32020,0.59,3,2020,2020-09-30
+RF,Regions Financial,Net Positivity,CQ32020,-0.35,3,2020,2020-09-30
+SPGI,S&P Global,Net Positivity,CQ32020,0.49,3,2020,2020-09-30
+STT,State Street,Net Positivity,CQ32020,1.07,3,2020,2020-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32020,,3,2020,2020-09-30
+TRV,Travelers Companies,Net Positivity,CQ32020,-1.16,3,2020,2020-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32020,-0.38,3,2020,2020-09-30
+V,Visa,Net Positivity,CQ32020,-0.21,3,2020,2020-09-30
+WFC,Wells Fargo,Net Positivity,CQ32020,-0.16,3,2020,2020-09-30
+ABBV,AbbVie,Net Positivity,CQ32020,2.09,3,2020,2020-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32020,0.75,3,2020,2020-09-30
+A,Agilent Technologies,Net Positivity,CQ32020,1.04,3,2020,2020-09-30
+AMGN,Amgen,Net Positivity,CQ32020,0.69,3,2020,2020-09-30
+BAX,Baxter International,Net Positivity,CQ32020,0.3,3,2020,2020-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32020,0.91,3,2020,2020-09-30
+BIIB,Biogen,Net Positivity,CQ32020,1.47,3,2020,2020-09-30
+BSX,Boston Scientific,Net Positivity,CQ32020,1.2,3,2020,2020-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32020,1.95,3,2020,2020-09-30
+CVS,CVS Health,Net Positivity,CQ32020,0.59,3,2020,2020-09-30
+COR,Cencora,Net Positivity,CQ32020,,3,2020,2020-09-30
+CI,Cigna,Net Positivity,CQ32020,0.78,3,2020,2020-09-30
+DVA,DaVita,Net Positivity,CQ32020,0.13,3,2020,2020-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32020,1.4,3,2020,2020-09-30
+LLY,Eli Lilly,Net Positivity,CQ32020,0.4,3,2020,2020-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32020,1.18,3,2020,2020-09-30
+HUM,Humana,Net Positivity,CQ32020,0.56,3,2020,2020-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32020,0.31,3,2020,2020-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32020,0.46,3,2020,2020-09-30
+LH,Labcorp,Net Positivity,CQ32020,-0.02,3,2020,2020-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32020,0.61,3,2020,2020-09-30
+MDT,Medtronic,Net Positivity,CQ32020,1.56,3,2020,2020-09-30
+MRK,Merck & Co.,Net Positivity,CQ32020,1.21,3,2020,2020-09-30
+PFE,Pfizer,Net Positivity,CQ32020,1.0,3,2020,2020-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32020,0.89,3,2020,2020-09-30
+WAT,Waters Corporation,Net Positivity,CQ32020,1.14,3,2020,2020-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32020,1.2,3,2020,2020-09-30
+MMM,3M,Net Positivity,CQ32020,0.98,3,2020,2020-09-30
+AME,Ametek,Net Positivity,CQ32020,0.94,3,2020,2020-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32020,-0.32,3,2020,2020-09-30
+BA,Boeing,Net Positivity,CQ32020,0.23,3,2020,2020-09-30
+CSX,CSX Corporation,Net Positivity,CQ32020,0.92,3,2020,2020-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32020,-0.12,3,2020,2020-09-30
+CTAS,Cintas,Net Positivity,CQ32020,0.96,3,2020,2020-09-30
+CMI,Cummins,Net Positivity,CQ32020,-0.12,3,2020,2020-09-30
+DE,Deere & Company,Net Positivity,CQ32020,0.92,3,2020,2020-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32020,-0.16,3,2020,2020-09-30
+EMR,Emerson Electric,Net Positivity,CQ32020,0.74,3,2020,2020-09-30
+EFX,Equifax,Net Positivity,CQ32020,0.59,3,2020,2020-09-30
+EXPD,Expeditors International,Net Positivity,CQ32020,,3,2020,2020-09-30
+FDX,FedEx,Net Positivity,CQ32020,1.79,3,2020,2020-09-30
+GE,GE Aerospace,Net Positivity,CQ32020,0.68,3,2020,2020-09-30
+GD,General Dynamics,Net Positivity,CQ32020,0.02,3,2020,2020-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32020,0.43,3,2020,2020-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32020,0.82,3,2020,2020-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32020,1.03,3,2020,2020-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32020,0.84,3,2020,2020-09-30
+PCAR,Paccar,Net Positivity,CQ32020,2.06,3,2020,2020-09-30
+RTX,RTX Corporation,Net Positivity,CQ32020,0.52,3,2020,2020-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32020,0.81,3,2020,2020-09-30
+ROP,Roper Technologies,Net Positivity,CQ32020,0.87,3,2020,2020-09-30
+SNA,Snap-on,Net Positivity,CQ32020,0.05,3,2020,2020-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32020,1.22,3,2020,2020-09-30
+UPS,United Parcel Service,Net Positivity,CQ32020,1.26,3,2020,2020-09-30
+WM,Waste Management,Net Positivity,CQ32020,0.99,3,2020,2020-09-30
+ACN,Accenture,Net Positivity,CQ32020,0.89,3,2020,2020-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32020,2.45,3,2020,2020-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32020,0.94,3,2020,2020-09-30
+APH,Amphenol,Net Positivity,CQ32020,0.93,3,2020,2020-09-30
+ADI,Analog Devices,Net Positivity,CQ32020,1.32,3,2020,2020-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32020,1.4,3,2020,2020-09-30
+AMAT,Applied Materials,Net Positivity,CQ32020,2.03,3,2020,2020-09-30
+ADSK,Autodesk,Net Positivity,CQ32020,1.13,3,2020,2020-09-30
+AVGO,Broadcom,Net Positivity,CQ32020,0.71,3,2020,2020-09-30
+CSCO,Cisco,Net Positivity,CQ32020,0.95,3,2020,2020-09-30
+CTSH,Cognizant,Net Positivity,CQ32020,1.04,3,2020,2020-09-30
+HPQ,HP Inc.,Net Positivity,CQ32020,1.44,3,2020,2020-09-30
+IBM,IBM,Net Positivity,CQ32020,0.91,3,2020,2020-09-30
+INTC,Intel,Net Positivity,CQ32020,1.18,3,2020,2020-09-30
+INTU,Intuit,Net Positivity,CQ32020,0.99,3,2020,2020-09-30
+LRCX,Lam Research,Net Positivity,CQ32020,1.37,3,2020,2020-09-30
+MU,Micron Technology,Net Positivity,CQ32020,1.31,3,2020,2020-09-30
+MSFT,Microsoft,Net Positivity,CQ32020,1.1,3,2020,2020-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32020,0.48,3,2020,2020-09-30
+NTAP,NetApp,Net Positivity,CQ32020,1.11,3,2020,2020-09-30
+NVDA,Nvidia,Net Positivity,CQ32020,1.29,3,2020,2020-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32020,1.0,3,2020,2020-09-30
+TXN,Texas Instruments,Net Positivity,CQ32020,0.94,3,2020,2020-09-30
+APD,Air Products,Net Positivity,CQ32020,0.84,3,2020,2020-09-30
+AVY,Avery Dennison,Net Positivity,CQ32020,0.17,3,2020,2020-09-30
+ECL,Ecolab,Net Positivity,CQ32020,0.68,3,2020,2020-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32020,0.78,3,2020,2020-09-30
+IP,International Paper,Net Positivity,CQ32020,0.74,3,2020,2020-09-30
+LIN,Linde plc,Net Positivity,CQ32020,1.13,3,2020,2020-09-30
+NEM,Newmont,Net Positivity,CQ32020,1.2,3,2020,2020-09-30
+NUE,Nucor,Net Positivity,CQ32020,0.98,3,2020,2020-09-30
+AMT,American Tower,Net Positivity,CQ32020,0.93,3,2020,2020-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32020,-0.71,3,2020,2020-09-30
+EQR,Equity Residential,Net Positivity,CQ32020,0.07,3,2020,2020-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32020,0.19,3,2020,2020-09-30
+IRM,Iron Mountain,Net Positivity,CQ32020,0.67,3,2020,2020-09-30
+PLD,Prologis,Net Positivity,CQ32020,0.26,3,2020,2020-09-30
+VTR,Ventas,Net Positivity,CQ32020,1.37,3,2020,2020-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32020,1.08,3,2020,2020-09-30
+AES,AES Corporation,Net Positivity,CQ32020,1.42,3,2020,2020-09-30
+AEE,Ameren,Net Positivity,CQ32020,0.71,3,2020,2020-09-30
+AEP,American Electric Power,Net Positivity,CQ32020,1.13,3,2020,2020-09-30
+CMS,CMS Energy,Net Positivity,CQ32020,0.86,3,2020,2020-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32020,1.58,3,2020,2020-09-30
+DUK,Duke Energy,Net Positivity,CQ32020,0.92,3,2020,2020-09-30
+EIX,Edison International,Net Positivity,CQ32020,-0.41,3,2020,2020-09-30
+ETR,Entergy,Net Positivity,CQ32020,0.82,3,2020,2020-09-30
+EXC,Exelon,Net Positivity,CQ32020,0.65,3,2020,2020-09-30
+NEE,NextEra Energy,Net Positivity,CQ32020,1.54,3,2020,2020-09-30
+SO,Southern Company,Net Positivity,CQ32020,0.12,3,2020,2020-09-30
+XEL,Xcel Energy,Net Positivity,CQ32020,1.37,3,2020,2020-09-30
+T,AT&T,Numeric Transeprency,CQ32020,0.88,3,2020,2020-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32020,1.42,3,2020,2020-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32020,,3,2020,2020-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32020,1.42,3,2020,2020-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32020,0.84,3,2020,2020-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32020,2.82,3,2020,2020-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32020,3.4,3,2020,2020-09-30
+VZ,Verizon,Numeric Transeprency,CQ32020,1.68,3,2020,2020-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32020,1.1,3,2020,2020-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32020,2.12,3,2020,2020-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32020,1.37,3,2020,2020-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32020,0.91,3,2020,2020-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32020,1.54,3,2020,2020-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32020,1.78,3,2020,2020-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32020,1.61,3,2020,2020-09-30
+GM,General Motors,Numeric Transeprency,CQ32020,2.34,3,2020,2020-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32020,2.67,3,2020,2020-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32020,1.62,3,2020,2020-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32020,1.54,3,2020,2020-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32020,1.07,3,2020,2020-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32020,1.35,3,2020,2020-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32020,0.93,3,2020,2020-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32020,0.84,3,2020,2020-09-30
+TGT,Target,Numeric Transeprency,CQ32020,1.52,3,2020,2020-09-30
+MO,Altria,Numeric Transeprency,CQ32020,1.82,3,2020,2020-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32020,1.5,3,2020,2020-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32020,0.94,3,2020,2020-09-30
+CLX,Clorox,Numeric Transeprency,CQ32020,1.79,3,2020,2020-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32020,0.5,3,2020,2020-09-30
+COST,Costco,Numeric Transeprency,CQ32020,3.1,3,2020,2020-09-30
+GIS,General Mills,Numeric Transeprency,CQ32020,0.84,3,2020,2020-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32020,0.6,3,2020,2020-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32020,1.16,3,2020,2020-09-30
+KR,Kroger,Numeric Transeprency,CQ32020,1.23,3,2020,2020-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32020,1.64,3,2020,2020-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32020,0.67,3,2020,2020-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32020,1.83,3,2020,2020-09-30
+SYY,Sysco,Numeric Transeprency,CQ32020,1.77,3,2020,2020-09-30
+WMT,Walmart,Numeric Transeprency,CQ32020,1.16,3,2020,2020-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32020,1.74,3,2020,2020-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32020,,3,2020,2020-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32020,2.42,3,2020,2020-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32020,1.91,3,2020,2020-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32020,1.55,3,2020,2020-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32020,1.62,3,2020,2020-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32020,2.22,3,2020,2020-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32020,1.97,3,2020,2020-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32020,2.25,3,2020,2020-09-30
+AFL,Aflac,Numeric Transeprency,CQ32020,2.17,3,2020,2020-09-30
+ALL,Allstate,Numeric Transeprency,CQ32020,1.72,3,2020,2020-09-30
+AXP,American Express,Numeric Transeprency,CQ32020,1.57,3,2020,2020-09-30
+AIG,American International Group,Numeric Transeprency,CQ32020,2.18,3,2020,2020-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32020,1.48,3,2020,2020-09-30
+AON,Aon plc,Numeric Transeprency,CQ32020,1.23,3,2020,2020-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32020,1.92,3,2020,2020-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32020,2.64,3,2020,2020-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32020,,3,2020,2020-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32020,2.16,3,2020,2020-09-30
+CME,CME Group,Numeric Transeprency,CQ32020,2.34,3,2020,2020-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32020,,3,2020,2020-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32020,1.87,3,2020,2020-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32020,1.75,3,2020,2020-09-30
+C,Citigroup,Numeric Transeprency,CQ32020,1.56,3,2020,2020-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32020,1.86,3,2020,2020-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32020,2.44,3,2020,2020-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32020,2.78,3,2020,2020-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32020,2.34,3,2020,2020-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32020,2.72,3,2020,2020-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32020,1.92,3,2020,2020-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32020,1.37,3,2020,2020-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32020,2.4,3,2020,2020-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32020,2.46,3,2020,2020-09-30
+MA,Mastercard,Numeric Transeprency,CQ32020,1.08,3,2020,2020-09-30
+MET,MetLife,Numeric Transeprency,CQ32020,2.9,3,2020,2020-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32020,2.19,3,2020,2020-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32020,2.18,3,2020,2020-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32020,2.68,3,2020,2020-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32020,2.5,3,2020,2020-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32020,1.6,3,2020,2020-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32020,2.08,3,2020,2020-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32020,2.4,3,2020,2020-09-30
+STT,State Street,Numeric Transeprency,CQ32020,1.85,3,2020,2020-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32020,,3,2020,2020-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32020,1.93,3,2020,2020-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32020,1.57,3,2020,2020-09-30
+V,Visa,Numeric Transeprency,CQ32020,2.2,3,2020,2020-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32020,1.85,3,2020,2020-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32020,2.54,3,2020,2020-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32020,1.24,3,2020,2020-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32020,1.26,3,2020,2020-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32020,0.92,3,2020,2020-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32020,1.78,3,2020,2020-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32020,1.85,3,2020,2020-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32020,2.12,3,2020,2020-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32020,2.01,3,2020,2020-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32020,1.43,3,2020,2020-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32020,1.98,3,2020,2020-09-30
+COR,Cencora,Numeric Transeprency,CQ32020,,3,2020,2020-09-30
+CI,Cigna,Numeric Transeprency,CQ32020,1.6,3,2020,2020-09-30
+DVA,DaVita,Numeric Transeprency,CQ32020,1.49,3,2020,2020-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32020,1.12,3,2020,2020-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32020,2.1,3,2020,2020-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32020,1.23,3,2020,2020-09-30
+HUM,Humana,Numeric Transeprency,CQ32020,1.2,3,2020,2020-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32020,1.68,3,2020,2020-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32020,2.78,3,2020,2020-09-30
+LH,Labcorp,Numeric Transeprency,CQ32020,1.93,3,2020,2020-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32020,2.08,3,2020,2020-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32020,0.98,3,2020,2020-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32020,1.08,3,2020,2020-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32020,2.23,3,2020,2020-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32020,2.17,3,2020,2020-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32020,1.43,3,2020,2020-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32020,1.09,3,2020,2020-09-30
+MMM,3M,Numeric Transeprency,CQ32020,1.75,3,2020,2020-09-30
+AME,Ametek,Numeric Transeprency,CQ32020,1.77,3,2020,2020-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32020,1.87,3,2020,2020-09-30
+BA,Boeing,Numeric Transeprency,CQ32020,1.99,3,2020,2020-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32020,1.43,3,2020,2020-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32020,2.13,3,2020,2020-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32020,1.45,3,2020,2020-09-30
+CMI,Cummins,Numeric Transeprency,CQ32020,1.84,3,2020,2020-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32020,1.69,3,2020,2020-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32020,2.34,3,2020,2020-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32020,2.21,3,2020,2020-09-30
+EFX,Equifax,Numeric Transeprency,CQ32020,3.16,3,2020,2020-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32020,,3,2020,2020-09-30
+FDX,FedEx,Numeric Transeprency,CQ32020,1.79,3,2020,2020-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32020,2.62,3,2020,2020-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32020,2.82,3,2020,2020-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32020,2.18,3,2020,2020-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32020,1.75,3,2020,2020-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32020,1.71,3,2020,2020-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32020,2.18,3,2020,2020-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32020,1.55,3,2020,2020-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32020,2.92,3,2020,2020-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32020,1.61,3,2020,2020-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32020,2.11,3,2020,2020-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32020,3.42,3,2020,2020-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32020,2.44,3,2020,2020-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32020,2.5,3,2020,2020-09-30
+WM,Waste Management,Numeric Transeprency,CQ32020,1.85,3,2020,2020-09-30
+ACN,Accenture,Numeric Transeprency,CQ32020,2.88,3,2020,2020-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32020,1.36,3,2020,2020-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32020,1.92,3,2020,2020-09-30
+APH,Amphenol,Numeric Transeprency,CQ32020,1.72,3,2020,2020-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32020,2.27,3,2020,2020-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32020,2.35,3,2020,2020-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32020,1.71,3,2020,2020-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32020,0.95,3,2020,2020-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32020,2.28,3,2020,2020-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32020,1.99,3,2020,2020-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32020,1.83,3,2020,2020-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32020,1.94,3,2020,2020-09-30
+IBM,IBM,Numeric Transeprency,CQ32020,1.33,3,2020,2020-09-30
+INTC,Intel,Numeric Transeprency,CQ32020,2.49,3,2020,2020-09-30
+INTU,Intuit,Numeric Transeprency,CQ32020,1.74,3,2020,2020-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32020,1.69,3,2020,2020-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32020,2.96,3,2020,2020-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32020,3.1,3,2020,2020-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32020,2.88,3,2020,2020-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32020,1.57,3,2020,2020-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32020,1.93,3,2020,2020-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32020,2.17,3,2020,2020-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32020,2.35,3,2020,2020-09-30
+APD,Air Products,Numeric Transeprency,CQ32020,2.47,3,2020,2020-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32020,1.82,3,2020,2020-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32020,1.06,3,2020,2020-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32020,1.42,3,2020,2020-09-30
+IP,International Paper,Numeric Transeprency,CQ32020,1.22,3,2020,2020-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32020,1.63,3,2020,2020-09-30
+NEM,Newmont,Numeric Transeprency,CQ32020,2.27,3,2020,2020-09-30
+NUE,Nucor,Numeric Transeprency,CQ32020,1.72,3,2020,2020-09-30
+AMT,American Tower,Numeric Transeprency,CQ32020,2.61,3,2020,2020-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32020,1.62,3,2020,2020-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32020,1.71,3,2020,2020-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32020,2.67,3,2020,2020-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32020,2.05,3,2020,2020-09-30
+PLD,Prologis,Numeric Transeprency,CQ32020,2.25,3,2020,2020-09-30
+VTR,Ventas,Numeric Transeprency,CQ32020,1.78,3,2020,2020-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32020,1.65,3,2020,2020-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32020,3.09,3,2020,2020-09-30
+AEE,Ameren,Numeric Transeprency,CQ32020,2.09,3,2020,2020-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32020,3.1,3,2020,2020-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32020,2.23,3,2020,2020-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32020,1.08,3,2020,2020-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32020,2.72,3,2020,2020-09-30
+EIX,Edison International,Numeric Transeprency,CQ32020,2.92,3,2020,2020-09-30
+ETR,Entergy,Numeric Transeprency,CQ32020,1.68,3,2020,2020-09-30
+EXC,Exelon,Numeric Transeprency,CQ32020,2.06,3,2020,2020-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32020,2.98,3,2020,2020-09-30
+SO,Southern Company,Numeric Transeprency,CQ32020,1.97,3,2020,2020-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32020,1.7,3,2020,2020-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32020,25.93,3,2020,2020-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32020,21.05,3,2020,2020-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32020,,3,2020,2020-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32020,18.18,3,2020,2020-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32020,2.7,3,2020,2020-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32020,18.18,3,2020,2020-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32020,34.62,3,2020,2020-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32020,14.58,3,2020,2020-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32020,26.09,3,2020,2020-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32020,25.81,3,2020,2020-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32020,20.69,3,2020,2020-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32020,23.53,3,2020,2020-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32020,65.63,3,2020,2020-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32020,44.44,3,2020,2020-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32020,57.89,3,2020,2020-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32020,14.29,3,2020,2020-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32020,75.0,3,2020,2020-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32020,21.21,3,2020,2020-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32020,37.5,3,2020,2020-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32020,21.21,3,2020,2020-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32020,69.23,3,2020,2020-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32020,24.14,3,2020,2020-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32020,16.67,3,2020,2020-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32020,58.33,3,2020,2020-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32020,37.5,3,2020,2020-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32020,66.67,3,2020,2020-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32020,55.0,3,2020,2020-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32020,43.75,3,2020,2020-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32020,55.0,3,2020,2020-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32020,77.78,3,2020,2020-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32020,64.29,3,2020,2020-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32020,23.08,3,2020,2020-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32020,58.33,3,2020,2020-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32020,55.56,3,2020,2020-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32020,52.38,3,2020,2020-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32020,39.47,3,2020,2020-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32020,52.0,3,2020,2020-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32020,,3,2020,2020-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32020,16.67,3,2020,2020-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32020,29.63,3,2020,2020-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32020,35.0,3,2020,2020-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32020,28.57,3,2020,2020-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32020,27.27,3,2020,2020-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32020,27.59,3,2020,2020-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32020,63.16,3,2020,2020-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32020,30.0,3,2020,2020-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32020,35.29,3,2020,2020-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32020,34.62,3,2020,2020-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32020,29.41,3,2020,2020-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32020,35.71,3,2020,2020-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32020,52.63,3,2020,2020-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32020,33.33,3,2020,2020-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32020,,3,2020,2020-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32020,37.5,3,2020,2020-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32020,68.42,3,2020,2020-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32020,,3,2020,2020-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32020,25.0,3,2020,2020-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32020,83.33,3,2020,2020-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32020,38.1,3,2020,2020-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32020,27.59,3,2020,2020-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32020,45.0,3,2020,2020-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32020,32.14,3,2020,2020-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32020,37.5,3,2020,2020-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32020,37.5,3,2020,2020-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32020,38.89,3,2020,2020-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32020,52.94,3,2020,2020-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32020,45.83,3,2020,2020-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32020,47.37,3,2020,2020-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32020,23.53,3,2020,2020-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32020,38.46,3,2020,2020-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32020,20.83,3,2020,2020-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32020,47.37,3,2020,2020-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32020,40.0,3,2020,2020-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32020,42.86,3,2020,2020-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32020,45.45,3,2020,2020-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32020,64.29,3,2020,2020-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32020,47.37,3,2020,2020-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32020,,3,2020,2020-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32020,35.0,3,2020,2020-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32020,31.82,3,2020,2020-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32020,21.21,3,2020,2020-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32020,43.48,3,2020,2020-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32020,61.54,3,2020,2020-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32020,23.81,3,2020,2020-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32020,69.23,3,2020,2020-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32020,64.0,3,2020,2020-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32020,35.29,3,2020,2020-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32020,64.71,3,2020,2020-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32020,40.0,3,2020,2020-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32020,29.17,3,2020,2020-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32020,46.15,3,2020,2020-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32020,28.0,3,2020,2020-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32020,,3,2020,2020-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32020,54.17,3,2020,2020-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32020,45.45,3,2020,2020-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32020,35.29,3,2020,2020-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32020,71.43,3,2020,2020-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32020,34.62,3,2020,2020-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32020,52.17,3,2020,2020-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32020,41.18,3,2020,2020-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32020,38.89,3,2020,2020-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32020,47.06,3,2020,2020-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32020,25.0,3,2020,2020-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32020,40.0,3,2020,2020-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32020,57.14,3,2020,2020-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32020,29.41,3,2020,2020-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32020,40.0,3,2020,2020-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32020,22.22,3,2020,2020-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32020,80.0,3,2020,2020-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32020,29.41,3,2020,2020-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32020,36.84,3,2020,2020-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32020,67.86,3,2020,2020-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32020,43.48,3,2020,2020-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32020,78.57,3,2020,2020-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32020,16.67,3,2020,2020-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32020,78.95,3,2020,2020-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32020,36.36,3,2020,2020-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32020,27.27,3,2020,2020-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32020,55.56,3,2020,2020-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32020,,3,2020,2020-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32020,55.56,3,2020,2020-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32020,43.75,3,2020,2020-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32020,47.62,3,2020,2020-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32020,43.75,3,2020,2020-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32020,57.14,3,2020,2020-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32020,68.75,3,2020,2020-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32020,65.0,3,2020,2020-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32020,53.33,3,2020,2020-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32020,22.73,3,2020,2020-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32020,45.45,3,2020,2020-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32020,62.5,3,2020,2020-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32020,29.41,3,2020,2020-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32020,40.74,3,2020,2020-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32020,58.33,3,2020,2020-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32020,21.74,3,2020,2020-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32020,63.16,3,2020,2020-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32020,86.67,3,2020,2020-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32020,32.0,3,2020,2020-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32020,24.32,3,2020,2020-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32020,40.0,3,2020,2020-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32020,38.46,3,2020,2020-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32020,31.25,3,2020,2020-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32020,38.46,3,2020,2020-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32020,20.0,3,2020,2020-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32020,53.33,3,2020,2020-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32020,53.33,3,2020,2020-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32020,19.05,3,2020,2020-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32020,57.14,3,2020,2020-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32020,23.53,3,2020,2020-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32020,26.67,3,2020,2020-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32020,65.38,3,2020,2020-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32020,17.5,3,2020,2020-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32020,21.43,3,2020,2020-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32020,24.14,3,2020,2020-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32020,65.22,3,2020,2020-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32020,60.0,3,2020,2020-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32020,66.67,3,2020,2020-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32020,46.15,3,2020,2020-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32020,64.29,3,2020,2020-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32020,52.94,3,2020,2020-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32020,41.18,3,2020,2020-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32020,55.56,3,2020,2020-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32020,53.33,3,2020,2020-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32020,40.0,3,2020,2020-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32020,20.0,3,2020,2020-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32020,44.44,3,2020,2020-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32020,42.86,3,2020,2020-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32020,88.89,3,2020,2020-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32020,16.67,3,2020,2020-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32020,50.0,3,2020,2020-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32020,23.08,3,2020,2020-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32020,27.78,3,2020,2020-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32020,36.84,3,2020,2020-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32020,46.67,3,2020,2020-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32020,29.41,3,2020,2020-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32020,14.29,3,2020,2020-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32020,56.25,3,2020,2020-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32020,22.22,3,2020,2020-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32020,13.33,3,2020,2020-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32020,47.06,3,2020,2020-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32020,42.86,3,2020,2020-09-30
+T,AT&T,Language Complexity,CQ32020,12.26,3,2020,2020-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32020,13.09,3,2020,2020-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32020,,3,2020,2020-09-30
+META,Meta Platforms,Language Complexity,CQ32020,12.74,3,2020,2020-09-30
+NFLX,Netflix,Language Complexity,CQ32020,11.31,3,2020,2020-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32020,14.44,3,2020,2020-09-30
+OMC,Omnicom Group,Language Complexity,CQ32020,14.44,3,2020,2020-09-30
+VZ,Verizon,Language Complexity,CQ32020,12.59,3,2020,2020-09-30
+AMZN,Amazon,Language Complexity,CQ32020,11.67,3,2020,2020-09-30
+AZO,AutoZone,Language Complexity,CQ32020,11.96,3,2020,2020-09-30
+BBY,Best Buy,Language Complexity,CQ32020,13.73,3,2020,2020-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32020,11.88,3,2020,2020-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32020,12.66,3,2020,2020-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32020,10.87,3,2020,2020-09-30
+F,Ford Motor Company,Language Complexity,CQ32020,11.99,3,2020,2020-09-30
+GM,General Motors,Language Complexity,CQ32020,12.03,3,2020,2020-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32020,13.57,3,2020,2020-09-30
+HAS,Hasbro,Language Complexity,CQ32020,11.78,3,2020,2020-09-30
+LOW,Lowe's,Language Complexity,CQ32020,13.34,3,2020,2020-09-30
+MCD,McDonald's,Language Complexity,CQ32020,13.09,3,2020,2020-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32020,14.63,3,2020,2020-09-30
+ROST,Ross Stores,Language Complexity,CQ32020,11.12,3,2020,2020-09-30
+TJX,TJX Companies,Language Complexity,CQ32020,12.33,3,2020,2020-09-30
+TGT,Target,Language Complexity,CQ32020,14.0,3,2020,2020-09-30
+MO,Altria,Language Complexity,CQ32020,12.44,3,2020,2020-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32020,11.46,3,2020,2020-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32020,11.88,3,2020,2020-09-30
+CLX,Clorox,Language Complexity,CQ32020,12.79,3,2020,2020-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32020,13.93,3,2020,2020-09-30
+COST,Costco,Language Complexity,CQ32020,10.15,3,2020,2020-09-30
+GIS,General Mills,Language Complexity,CQ32020,10.88,3,2020,2020-09-30
+HSY,Hershey Company,Language Complexity,CQ32020,10.24,3,2020,2020-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32020,11.24,3,2020,2020-09-30
+KR,Kroger,Language Complexity,CQ32020,14.4,3,2020,2020-09-30
+MKC,McCormick & Company,Language Complexity,CQ32020,13.6,3,2020,2020-09-30
+PEP,PepsiCo,Language Complexity,CQ32020,11.17,3,2020,2020-09-30
+PG,Procter & Gamble,Language Complexity,CQ32020,12.63,3,2020,2020-09-30
+SYY,Sysco,Language Complexity,CQ32020,13.14,3,2020,2020-09-30
+WMT,Walmart,Language Complexity,CQ32020,12.37,3,2020,2020-09-30
+APA,APA Corporation,Language Complexity,CQ32020,11.48,3,2020,2020-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32020,,3,2020,2020-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32020,12.03,3,2020,2020-09-30
+EOG,EOG Resources,Language Complexity,CQ32020,13.47,3,2020,2020-09-30
+XOM,ExxonMobil,Language Complexity,CQ32020,12.51,3,2020,2020-09-30
+HAL,Halliburton,Language Complexity,CQ32020,13.13,3,2020,2020-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32020,13.25,3,2020,2020-09-30
+SLB,Schlumberger,Language Complexity,CQ32020,13.74,3,2020,2020-09-30
+VLO,Valero Energy,Language Complexity,CQ32020,11.22,3,2020,2020-09-30
+AFL,Aflac,Language Complexity,CQ32020,14.22,3,2020,2020-09-30
+ALL,Allstate,Language Complexity,CQ32020,11.67,3,2020,2020-09-30
+AXP,American Express,Language Complexity,CQ32020,13.31,3,2020,2020-09-30
+AIG,American International Group,Language Complexity,CQ32020,14.34,3,2020,2020-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32020,12.11,3,2020,2020-09-30
+AON,Aon plc,Language Complexity,CQ32020,13.59,3,2020,2020-09-30
+BK,BNY Mellon,Language Complexity,CQ32020,12.53,3,2020,2020-09-30
+BAC,Bank of America,Language Complexity,CQ32020,11.51,3,2020,2020-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32020,,3,2020,2020-09-30
+BLK,BlackRock,Language Complexity,CQ32020,15.75,3,2020,2020-09-30
+CME,CME Group,Language Complexity,CQ32020,10.77,3,2020,2020-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32020,,3,2020,2020-09-30
+CB,Chubb Limited,Language Complexity,CQ32020,13.08,3,2020,2020-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32020,12.51,3,2020,2020-09-30
+C,Citigroup,Language Complexity,CQ32020,12.91,3,2020,2020-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32020,12.24,3,2020,2020-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32020,14.05,3,2020,2020-09-30
+FISV,Fiserv,Language Complexity,CQ32020,12.86,3,2020,2020-09-30
+GS,Goldman Sachs,Language Complexity,CQ32020,13.65,3,2020,2020-09-30
+HIG,Hartford Financial,Language Complexity,CQ32020,13.39,3,2020,2020-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32020,13.0,3,2020,2020-09-30
+IVZ,Invesco,Language Complexity,CQ32020,11.65,3,2020,2020-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32020,10.7,3,2020,2020-09-30
+KEY,KeyCorp,Language Complexity,CQ32020,11.86,3,2020,2020-09-30
+MA,Mastercard,Language Complexity,CQ32020,12.57,3,2020,2020-09-30
+MET,MetLife,Language Complexity,CQ32020,13.22,3,2020,2020-09-30
+MS,Morgan Stanley,Language Complexity,CQ32020,11.78,3,2020,2020-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32020,14.63,3,2020,2020-09-30
+NTRS,Northern Trust,Language Complexity,CQ32020,11.52,3,2020,2020-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32020,11.49,3,2020,2020-09-30
+PRU,Prudential Financial,Language Complexity,CQ32020,13.99,3,2020,2020-09-30
+RF,Regions Financial,Language Complexity,CQ32020,13.35,3,2020,2020-09-30
+SPGI,S&P Global,Language Complexity,CQ32020,12.94,3,2020,2020-09-30
+STT,State Street,Language Complexity,CQ32020,12.43,3,2020,2020-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32020,,3,2020,2020-09-30
+TRV,Travelers Companies,Language Complexity,CQ32020,13.34,3,2020,2020-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32020,12.11,3,2020,2020-09-30
+V,Visa,Language Complexity,CQ32020,12.68,3,2020,2020-09-30
+WFC,Wells Fargo,Language Complexity,CQ32020,12.79,3,2020,2020-09-30
+ABBV,AbbVie,Language Complexity,CQ32020,12.26,3,2020,2020-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32020,11.91,3,2020,2020-09-30
+A,Agilent Technologies,Language Complexity,CQ32020,10.66,3,2020,2020-09-30
+AMGN,Amgen,Language Complexity,CQ32020,12.49,3,2020,2020-09-30
+BAX,Baxter International,Language Complexity,CQ32020,12.74,3,2020,2020-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32020,12.33,3,2020,2020-09-30
+BIIB,Biogen,Language Complexity,CQ32020,13.94,3,2020,2020-09-30
+BSX,Boston Scientific,Language Complexity,CQ32020,13.17,3,2020,2020-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32020,12.24,3,2020,2020-09-30
+CVS,CVS Health,Language Complexity,CQ32020,14.79,3,2020,2020-09-30
+COR,Cencora,Language Complexity,CQ32020,,3,2020,2020-09-30
+CI,Cigna,Language Complexity,CQ32020,15.05,3,2020,2020-09-30
+DVA,DaVita,Language Complexity,CQ32020,10.9,3,2020,2020-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32020,12.74,3,2020,2020-09-30
+LLY,Eli Lilly,Language Complexity,CQ32020,12.22,3,2020,2020-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32020,12.33,3,2020,2020-09-30
+HUM,Humana,Language Complexity,CQ32020,13.91,3,2020,2020-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32020,13.96,3,2020,2020-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32020,14.04,3,2020,2020-09-30
+LH,Labcorp,Language Complexity,CQ32020,12.18,3,2020,2020-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32020,14.14,3,2020,2020-09-30
+MDT,Medtronic,Language Complexity,CQ32020,11.79,3,2020,2020-09-30
+MRK,Merck & Co.,Language Complexity,CQ32020,14.44,3,2020,2020-09-30
+PFE,Pfizer,Language Complexity,CQ32020,13.41,3,2020,2020-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32020,13.47,3,2020,2020-09-30
+WAT,Waters Corporation,Language Complexity,CQ32020,13.79,3,2020,2020-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32020,12.2,3,2020,2020-09-30
+MMM,3M,Language Complexity,CQ32020,11.68,3,2020,2020-09-30
+AME,Ametek,Language Complexity,CQ32020,10.76,3,2020,2020-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32020,12.48,3,2020,2020-09-30
+BA,Boeing,Language Complexity,CQ32020,14.33,3,2020,2020-09-30
+CSX,CSX Corporation,Language Complexity,CQ32020,12.17,3,2020,2020-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32020,12.46,3,2020,2020-09-30
+CTAS,Cintas,Language Complexity,CQ32020,11.64,3,2020,2020-09-30
+CMI,Cummins,Language Complexity,CQ32020,12.65,3,2020,2020-09-30
+DE,Deere & Company,Language Complexity,CQ32020,13.62,3,2020,2020-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32020,11.76,3,2020,2020-09-30
+EMR,Emerson Electric,Language Complexity,CQ32020,9.51,3,2020,2020-09-30
+EFX,Equifax,Language Complexity,CQ32020,13.82,3,2020,2020-09-30
+EXPD,Expeditors International,Language Complexity,CQ32020,,3,2020,2020-09-30
+FDX,FedEx,Language Complexity,CQ32020,13.2,3,2020,2020-09-30
+GE,GE Aerospace,Language Complexity,CQ32020,11.96,3,2020,2020-09-30
+GD,General Dynamics,Language Complexity,CQ32020,11.35,3,2020,2020-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32020,13.08,3,2020,2020-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32020,13.0,3,2020,2020-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32020,11.71,3,2020,2020-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32020,12.58,3,2020,2020-09-30
+PCAR,Paccar,Language Complexity,CQ32020,10.32,3,2020,2020-09-30
+RTX,RTX Corporation,Language Complexity,CQ32020,12.74,3,2020,2020-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32020,12.68,3,2020,2020-09-30
+ROP,Roper Technologies,Language Complexity,CQ32020,11.64,3,2020,2020-09-30
+SNA,Snap-on,Language Complexity,CQ32020,12.31,3,2020,2020-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32020,14.82,3,2020,2020-09-30
+UPS,United Parcel Service,Language Complexity,CQ32020,10.74,3,2020,2020-09-30
+WM,Waste Management,Language Complexity,CQ32020,12.29,3,2020,2020-09-30
+ACN,Accenture,Language Complexity,CQ32020,13.04,3,2020,2020-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32020,14.7,3,2020,2020-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32020,11.39,3,2020,2020-09-30
+APH,Amphenol,Language Complexity,CQ32020,13.84,3,2020,2020-09-30
+ADI,Analog Devices,Language Complexity,CQ32020,12.33,3,2020,2020-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32020,12.17,3,2020,2020-09-30
+AMAT,Applied Materials,Language Complexity,CQ32020,13.05,3,2020,2020-09-30
+ADSK,Autodesk,Language Complexity,CQ32020,12.46,3,2020,2020-09-30
+AVGO,Broadcom,Language Complexity,CQ32020,11.67,3,2020,2020-09-30
+CSCO,Cisco,Language Complexity,CQ32020,12.06,3,2020,2020-09-30
+CTSH,Cognizant,Language Complexity,CQ32020,14.88,3,2020,2020-09-30
+HPQ,HP Inc.,Language Complexity,CQ32020,12.9,3,2020,2020-09-30
+IBM,IBM,Language Complexity,CQ32020,12.44,3,2020,2020-09-30
+INTC,Intel,Language Complexity,CQ32020,13.47,3,2020,2020-09-30
+INTU,Intuit,Language Complexity,CQ32020,12.45,3,2020,2020-09-30
+LRCX,Lam Research,Language Complexity,CQ32020,11.92,3,2020,2020-09-30
+MU,Micron Technology,Language Complexity,CQ32020,12.9,3,2020,2020-09-30
+MSFT,Microsoft,Language Complexity,CQ32020,14.1,3,2020,2020-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32020,11.69,3,2020,2020-09-30
+NTAP,NetApp,Language Complexity,CQ32020,12.34,3,2020,2020-09-30
+NVDA,Nvidia,Language Complexity,CQ32020,11.81,3,2020,2020-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32020,12.5,3,2020,2020-09-30
+TXN,Texas Instruments,Language Complexity,CQ32020,10.54,3,2020,2020-09-30
+APD,Air Products,Language Complexity,CQ32020,10.87,3,2020,2020-09-30
+AVY,Avery Dennison,Language Complexity,CQ32020,12.97,3,2020,2020-09-30
+ECL,Ecolab,Language Complexity,CQ32020,11.09,3,2020,2020-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32020,12.31,3,2020,2020-09-30
+IP,International Paper,Language Complexity,CQ32020,12.16,3,2020,2020-09-30
+LIN,Linde plc,Language Complexity,CQ32020,11.1,3,2020,2020-09-30
+NEM,Newmont,Language Complexity,CQ32020,13.24,3,2020,2020-09-30
+NUE,Nucor,Language Complexity,CQ32020,11.58,3,2020,2020-09-30
+AMT,American Tower,Language Complexity,CQ32020,13.71,3,2020,2020-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32020,11.52,3,2020,2020-09-30
+EQR,Equity Residential,Language Complexity,CQ32020,11.58,3,2020,2020-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32020,11.29,3,2020,2020-09-30
+IRM,Iron Mountain,Language Complexity,CQ32020,13.55,3,2020,2020-09-30
+PLD,Prologis,Language Complexity,CQ32020,10.69,3,2020,2020-09-30
+VTR,Ventas,Language Complexity,CQ32020,13.02,3,2020,2020-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32020,11.89,3,2020,2020-09-30
+AES,AES Corporation,Language Complexity,CQ32020,11.84,3,2020,2020-09-30
+AEE,Ameren,Language Complexity,CQ32020,14.33,3,2020,2020-09-30
+AEP,American Electric Power,Language Complexity,CQ32020,13.86,3,2020,2020-09-30
+CMS,CMS Energy,Language Complexity,CQ32020,12.71,3,2020,2020-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32020,12.68,3,2020,2020-09-30
+DUK,Duke Energy,Language Complexity,CQ32020,13.73,3,2020,2020-09-30
+EIX,Edison International,Language Complexity,CQ32020,13.95,3,2020,2020-09-30
+ETR,Entergy,Language Complexity,CQ32020,13.02,3,2020,2020-09-30
+EXC,Exelon,Language Complexity,CQ32020,13.07,3,2020,2020-09-30
+NEE,NextEra Energy,Language Complexity,CQ32020,16.49,3,2020,2020-09-30
+SO,Southern Company,Language Complexity,CQ32020,10.26,3,2020,2020-09-30
+XEL,Xcel Energy,Language Complexity,CQ32020,12.14,3,2020,2020-09-30
+T,AT&T,Net Positivity,CQ42020,1.39,4,2020,2020-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42020,1.87,4,2020,2020-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42020,,4,2020,2020-12-31
+META,Meta Platforms,Net Positivity,CQ42020,0.63,4,2020,2020-12-31
+NFLX,Netflix,Net Positivity,CQ42020,0.97,4,2020,2020-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42020,0.61,4,2020,2020-12-31
+OMC,Omnicom Group,Net Positivity,CQ42020,0.8,4,2020,2020-12-31
+VZ,Verizon,Net Positivity,CQ42020,1.76,4,2020,2020-12-31
+AMZN,Amazon,Net Positivity,CQ42020,1.38,4,2020,2020-12-31
+AZO,AutoZone,Net Positivity,CQ42020,1.23,4,2020,2020-12-31
+BBY,Best Buy,Net Positivity,CQ42020,0.99,4,2020,2020-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42020,-0.05,4,2020,2020-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42020,1.94,4,2020,2020-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42020,1.32,4,2020,2020-12-31
+F,Ford Motor Company,Net Positivity,CQ42020,1.69,4,2020,2020-12-31
+GM,General Motors,Net Positivity,CQ42020,1.51,4,2020,2020-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42020,2.54,4,2020,2020-12-31
+HAS,Hasbro,Net Positivity,CQ42020,1.58,4,2020,2020-12-31
+LOW,Lowe's,Net Positivity,CQ42020,1.8,4,2020,2020-12-31
+MCD,McDonald's,Net Positivity,CQ42020,1.84,4,2020,2020-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42020,1.98,4,2020,2020-12-31
+ROST,Ross Stores,Net Positivity,CQ42020,0.56,4,2020,2020-12-31
+TJX,TJX Companies,Net Positivity,CQ42020,1.33,4,2020,2020-12-31
+TGT,Target,Net Positivity,CQ42020,1.17,4,2020,2020-12-31
+MO,Altria,Net Positivity,CQ42020,0.97,4,2020,2020-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42020,1.21,4,2020,2020-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42020,0.32,4,2020,2020-12-31
+CLX,Clorox,Net Positivity,CQ42020,2.1,4,2020,2020-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42020,1.76,4,2020,2020-12-31
+COST,Costco,Net Positivity,CQ42020,0.84,4,2020,2020-12-31
+GIS,General Mills,Net Positivity,CQ42020,0.96,4,2020,2020-12-31
+HSY,Hershey Company,Net Positivity,CQ42020,1.43,4,2020,2020-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42020,1.7,4,2020,2020-12-31
+KR,Kroger,Net Positivity,CQ42020,1.59,4,2020,2020-12-31
+MKC,McCormick & Company,Net Positivity,CQ42020,,4,2020,2020-12-31
+PEP,PepsiCo,Net Positivity,CQ42020,1.67,4,2020,2020-12-31
+PG,Procter & Gamble,Net Positivity,CQ42020,0.73,4,2020,2020-12-31
+SYY,Sysco,Net Positivity,CQ42020,1.32,4,2020,2020-12-31
+WMT,Walmart,Net Positivity,CQ42020,2.11,4,2020,2020-12-31
+APA,APA Corporation,Net Positivity,CQ42020,0.64,4,2020,2020-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42020,,4,2020,2020-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42020,0.84,4,2020,2020-12-31
+EOG,EOG Resources,Net Positivity,CQ42020,1.48,4,2020,2020-12-31
+XOM,ExxonMobil,Net Positivity,CQ42020,0.64,4,2020,2020-12-31
+HAL,Halliburton,Net Positivity,CQ42020,1.78,4,2020,2020-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42020,1.33,4,2020,2020-12-31
+SLB,Schlumberger,Net Positivity,CQ42020,0.89,4,2020,2020-12-31
+VLO,Valero Energy,Net Positivity,CQ42020,0.35,4,2020,2020-12-31
+AFL,Aflac,Net Positivity,CQ42020,0.72,4,2020,2020-12-31
+ALL,Allstate,Net Positivity,CQ42020,0.41,4,2020,2020-12-31
+AXP,American Express,Net Positivity,CQ42020,0.28,4,2020,2020-12-31
+AIG,American International Group,Net Positivity,CQ42020,0.73,4,2020,2020-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42020,2.0,4,2020,2020-12-31
+AON,Aon plc,Net Positivity,CQ42020,2.05,4,2020,2020-12-31
+BK,BNY Mellon,Net Positivity,CQ42020,0.72,4,2020,2020-12-31
+BAC,Bank of America,Net Positivity,CQ42020,-0.22,4,2020,2020-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42020,,4,2020,2020-12-31
+BLK,BlackRock,Net Positivity,CQ42020,1.3,4,2020,2020-12-31
+CME,CME Group,Net Positivity,CQ42020,0.85,4,2020,2020-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42020,,4,2020,2020-12-31
+CB,Chubb Limited,Net Positivity,CQ42020,0.72,4,2020,2020-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42020,-1.02,4,2020,2020-12-31
+C,Citigroup,Net Positivity,CQ42020,0.36,4,2020,2020-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42020,1.85,4,2020,2020-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42020,0.39,4,2020,2020-12-31
+FISV,Fiserv,Net Positivity,CQ42020,2.27,4,2020,2020-12-31
+GS,Goldman Sachs,Net Positivity,CQ42020,0.85,4,2020,2020-12-31
+HIG,Hartford Financial,Net Positivity,CQ42020,0.47,4,2020,2020-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42020,0.91,4,2020,2020-12-31
+IVZ,Invesco,Net Positivity,CQ42020,1.73,4,2020,2020-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42020,-0.56,4,2020,2020-12-31
+KEY,KeyCorp,Net Positivity,CQ42020,0.36,4,2020,2020-12-31
+MA,Mastercard,Net Positivity,CQ42020,0.86,4,2020,2020-12-31
+MET,MetLife,Net Positivity,CQ42020,0.61,4,2020,2020-12-31
+MS,Morgan Stanley,Net Positivity,CQ42020,0.84,4,2020,2020-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42020,1.34,4,2020,2020-12-31
+NTRS,Northern Trust,Net Positivity,CQ42020,0.44,4,2020,2020-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42020,-0.38,4,2020,2020-12-31
+PRU,Prudential Financial,Net Positivity,CQ42020,0.95,4,2020,2020-12-31
+RF,Regions Financial,Net Positivity,CQ42020,0.62,4,2020,2020-12-31
+SPGI,S&P Global,Net Positivity,CQ42020,0.63,4,2020,2020-12-31
+STT,State Street,Net Positivity,CQ42020,0.77,4,2020,2020-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42020,,4,2020,2020-12-31
+TRV,Travelers Companies,Net Positivity,CQ42020,0.24,4,2020,2020-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42020,0.49,4,2020,2020-12-31
+V,Visa,Net Positivity,CQ42020,0.62,4,2020,2020-12-31
+WFC,Wells Fargo,Net Positivity,CQ42020,0.4,4,2020,2020-12-31
+ABBV,AbbVie,Net Positivity,CQ42020,1.53,4,2020,2020-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42020,1.59,4,2020,2020-12-31
+A,Agilent Technologies,Net Positivity,CQ42020,1.32,4,2020,2020-12-31
+AMGN,Amgen,Net Positivity,CQ42020,0.94,4,2020,2020-12-31
+BAX,Baxter International,Net Positivity,CQ42020,0.4,4,2020,2020-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42020,0.97,4,2020,2020-12-31
+BIIB,Biogen,Net Positivity,CQ42020,1.26,4,2020,2020-12-31
+BSX,Boston Scientific,Net Positivity,CQ42020,1.1,4,2020,2020-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42020,1.84,4,2020,2020-12-31
+CVS,CVS Health,Net Positivity,CQ42020,1.53,4,2020,2020-12-31
+COR,Cencora,Net Positivity,CQ42020,,4,2020,2020-12-31
+CI,Cigna,Net Positivity,CQ42020,1.09,4,2020,2020-12-31
+DVA,DaVita,Net Positivity,CQ42020,0.14,4,2020,2020-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42020,1.36,4,2020,2020-12-31
+LLY,Eli Lilly,Net Positivity,CQ42020,0.75,4,2020,2020-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42020,0.83,4,2020,2020-12-31
+HUM,Humana,Net Positivity,CQ42020,0.89,4,2020,2020-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42020,0.69,4,2020,2020-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42020,0.99,4,2020,2020-12-31
+LH,Labcorp,Net Positivity,CQ42020,0.64,4,2020,2020-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42020,1.1,4,2020,2020-12-31
+MDT,Medtronic,Net Positivity,CQ42020,1.41,4,2020,2020-12-31
+MRK,Merck & Co.,Net Positivity,CQ42020,1.65,4,2020,2020-12-31
+PFE,Pfizer,Net Positivity,CQ42020,1.08,4,2020,2020-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42020,1.9,4,2020,2020-12-31
+WAT,Waters Corporation,Net Positivity,CQ42020,0.57,4,2020,2020-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42020,1.2,4,2020,2020-12-31
+MMM,3M,Net Positivity,CQ42020,0.78,4,2020,2020-12-31
+AME,Ametek,Net Positivity,CQ42020,1.52,4,2020,2020-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42020,0.97,4,2020,2020-12-31
+BA,Boeing,Net Positivity,CQ42020,0.46,4,2020,2020-12-31
+CSX,CSX Corporation,Net Positivity,CQ42020,1.73,4,2020,2020-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42020,0.82,4,2020,2020-12-31
+CTAS,Cintas,Net Positivity,CQ42020,0.78,4,2020,2020-12-31
+CMI,Cummins,Net Positivity,CQ42020,0.51,4,2020,2020-12-31
+DE,Deere & Company,Net Positivity,CQ42020,1.29,4,2020,2020-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42020,0.58,4,2020,2020-12-31
+EMR,Emerson Electric,Net Positivity,CQ42020,0.76,4,2020,2020-12-31
+EFX,Equifax,Net Positivity,CQ42020,1.11,4,2020,2020-12-31
+EXPD,Expeditors International,Net Positivity,CQ42020,,4,2020,2020-12-31
+FDX,FedEx,Net Positivity,CQ42020,1.97,4,2020,2020-12-31
+GE,GE Aerospace,Net Positivity,CQ42020,1.58,4,2020,2020-12-31
+GD,General Dynamics,Net Positivity,CQ42020,1.18,4,2020,2020-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42020,0.99,4,2020,2020-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42020,1.03,4,2020,2020-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42020,1.9,4,2020,2020-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42020,0.91,4,2020,2020-12-31
+PCAR,Paccar,Net Positivity,CQ42020,1.35,4,2020,2020-12-31
+RTX,RTX Corporation,Net Positivity,CQ42020,0.67,4,2020,2020-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42020,1.16,4,2020,2020-12-31
+ROP,Roper Technologies,Net Positivity,CQ42020,0.7,4,2020,2020-12-31
+SNA,Snap-on,Net Positivity,CQ42020,1.17,4,2020,2020-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42020,1.7,4,2020,2020-12-31
+UPS,United Parcel Service,Net Positivity,CQ42020,1.33,4,2020,2020-12-31
+WM,Waste Management,Net Positivity,CQ42020,0.85,4,2020,2020-12-31
+ACN,Accenture,Net Positivity,CQ42020,1.52,4,2020,2020-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42020,2.7,4,2020,2020-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42020,1.11,4,2020,2020-12-31
+APH,Amphenol,Net Positivity,CQ42020,1.0,4,2020,2020-12-31
+ADI,Analog Devices,Net Positivity,CQ42020,1.14,4,2020,2020-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42020,1.34,4,2020,2020-12-31
+AMAT,Applied Materials,Net Positivity,CQ42020,2.11,4,2020,2020-12-31
+ADSK,Autodesk,Net Positivity,CQ42020,1.45,4,2020,2020-12-31
+AVGO,Broadcom,Net Positivity,CQ42020,0.59,4,2020,2020-12-31
+CSCO,Cisco,Net Positivity,CQ42020,1.91,4,2020,2020-12-31
+CTSH,Cognizant,Net Positivity,CQ42020,1.0,4,2020,2020-12-31
+HPQ,HP Inc.,Net Positivity,CQ42020,1.55,4,2020,2020-12-31
+IBM,IBM,Net Positivity,CQ42020,1.19,4,2020,2020-12-31
+INTC,Intel,Net Positivity,CQ42020,1.51,4,2020,2020-12-31
+INTU,Intuit,Net Positivity,CQ42020,0.84,4,2020,2020-12-31
+LRCX,Lam Research,Net Positivity,CQ42020,1.01,4,2020,2020-12-31
+MU,Micron Technology,Net Positivity,CQ42020,,4,2020,2020-12-31
+MSFT,Microsoft,Net Positivity,CQ42020,1.56,4,2020,2020-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42020,1.23,4,2020,2020-12-31
+NTAP,NetApp,Net Positivity,CQ42020,1.87,4,2020,2020-12-31
+NVDA,Nvidia,Net Positivity,CQ42020,1.46,4,2020,2020-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42020,0.96,4,2020,2020-12-31
+TXN,Texas Instruments,Net Positivity,CQ42020,0.91,4,2020,2020-12-31
+APD,Air Products,Net Positivity,CQ42020,0.42,4,2020,2020-12-31
+AVY,Avery Dennison,Net Positivity,CQ42020,0.65,4,2020,2020-12-31
+ECL,Ecolab,Net Positivity,CQ42020,1.01,4,2020,2020-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42020,1.01,4,2020,2020-12-31
+IP,International Paper,Net Positivity,CQ42020,1.19,4,2020,2020-12-31
+LIN,Linde plc,Net Positivity,CQ42020,1.06,4,2020,2020-12-31
+NEM,Newmont,Net Positivity,CQ42020,1.43,4,2020,2020-12-31
+NUE,Nucor,Net Positivity,CQ42020,1.31,4,2020,2020-12-31
+AMT,American Tower,Net Positivity,CQ42020,0.85,4,2020,2020-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42020,0.21,4,2020,2020-12-31
+EQR,Equity Residential,Net Positivity,CQ42020,-0.06,4,2020,2020-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42020,1.03,4,2020,2020-12-31
+IRM,Iron Mountain,Net Positivity,CQ42020,1.67,4,2020,2020-12-31
+PLD,Prologis,Net Positivity,CQ42020,0.04,4,2020,2020-12-31
+VTR,Ventas,Net Positivity,CQ42020,1.66,4,2020,2020-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42020,0.71,4,2020,2020-12-31
+AES,AES Corporation,Net Positivity,CQ42020,1.34,4,2020,2020-12-31
+AEE,Ameren,Net Positivity,CQ42020,0.98,4,2020,2020-12-31
+AEP,American Electric Power,Net Positivity,CQ42020,0.59,4,2020,2020-12-31
+CMS,CMS Energy,Net Positivity,CQ42020,0.79,4,2020,2020-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42020,1.92,4,2020,2020-12-31
+DUK,Duke Energy,Net Positivity,CQ42020,1.26,4,2020,2020-12-31
+EIX,Edison International,Net Positivity,CQ42020,0.22,4,2020,2020-12-31
+ETR,Entergy,Net Positivity,CQ42020,1.01,4,2020,2020-12-31
+EXC,Exelon,Net Positivity,CQ42020,0.21,4,2020,2020-12-31
+NEE,NextEra Energy,Net Positivity,CQ42020,1.72,4,2020,2020-12-31
+SO,Southern Company,Net Positivity,CQ42020,0.86,4,2020,2020-12-31
+XEL,Xcel Energy,Net Positivity,CQ42020,0.85,4,2020,2020-12-31
+T,AT&T,Numeric Transeprency,CQ42020,0.99,4,2020,2020-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42020,1.48,4,2020,2020-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42020,,4,2020,2020-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42020,1.55,4,2020,2020-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42020,1.07,4,2020,2020-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42020,3.44,4,2020,2020-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42020,2.77,4,2020,2020-12-31
+VZ,Verizon,Numeric Transeprency,CQ42020,2.21,4,2020,2020-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42020,0.96,4,2020,2020-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42020,1.97,4,2020,2020-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42020,1.22,4,2020,2020-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42020,0.95,4,2020,2020-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42020,1.97,4,2020,2020-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42020,1.51,4,2020,2020-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42020,1.39,4,2020,2020-12-31
+GM,General Motors,Numeric Transeprency,CQ42020,1.76,4,2020,2020-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42020,2.73,4,2020,2020-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42020,1.68,4,2020,2020-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42020,2.3,4,2020,2020-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42020,2.09,4,2020,2020-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42020,1.59,4,2020,2020-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42020,1.36,4,2020,2020-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42020,0.89,4,2020,2020-12-31
+TGT,Target,Numeric Transeprency,CQ42020,1.77,4,2020,2020-12-31
+MO,Altria,Numeric Transeprency,CQ42020,1.78,4,2020,2020-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42020,1.59,4,2020,2020-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42020,0.99,4,2020,2020-12-31
+CLX,Clorox,Numeric Transeprency,CQ42020,1.66,4,2020,2020-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42020,0.9,4,2020,2020-12-31
+COST,Costco,Numeric Transeprency,CQ42020,3.27,4,2020,2020-12-31
+GIS,General Mills,Numeric Transeprency,CQ42020,0.88,4,2020,2020-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42020,0.74,4,2020,2020-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42020,1.65,4,2020,2020-12-31
+KR,Kroger,Numeric Transeprency,CQ42020,1.49,4,2020,2020-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42020,,4,2020,2020-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42020,0.74,4,2020,2020-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42020,1.51,4,2020,2020-12-31
+SYY,Sysco,Numeric Transeprency,CQ42020,1.23,4,2020,2020-12-31
+WMT,Walmart,Numeric Transeprency,CQ42020,1.21,4,2020,2020-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42020,2.22,4,2020,2020-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42020,,4,2020,2020-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42020,1.95,4,2020,2020-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42020,2.1,4,2020,2020-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42020,1.83,4,2020,2020-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42020,1.91,4,2020,2020-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42020,1.97,4,2020,2020-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42020,1.52,4,2020,2020-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42020,2.07,4,2020,2020-12-31
+AFL,Aflac,Numeric Transeprency,CQ42020,2.18,4,2020,2020-12-31
+ALL,Allstate,Numeric Transeprency,CQ42020,1.82,4,2020,2020-12-31
+AXP,American Express,Numeric Transeprency,CQ42020,1.55,4,2020,2020-12-31
+AIG,American International Group,Numeric Transeprency,CQ42020,2.74,4,2020,2020-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42020,1.71,4,2020,2020-12-31
+AON,Aon plc,Numeric Transeprency,CQ42020,1.53,4,2020,2020-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42020,1.51,4,2020,2020-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42020,2.87,4,2020,2020-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42020,,4,2020,2020-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42020,1.63,4,2020,2020-12-31
+CME,CME Group,Numeric Transeprency,CQ42020,1.56,4,2020,2020-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42020,,4,2020,2020-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42020,1.77,4,2020,2020-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42020,2.36,4,2020,2020-12-31
+C,Citigroup,Numeric Transeprency,CQ42020,1.75,4,2020,2020-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42020,2.12,4,2020,2020-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42020,2.74,4,2020,2020-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42020,2.61,4,2020,2020-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42020,2.17,4,2020,2020-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42020,2.88,4,2020,2020-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42020,1.88,4,2020,2020-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42020,1.73,4,2020,2020-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42020,2.61,4,2020,2020-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42020,2.65,4,2020,2020-12-31
+MA,Mastercard,Numeric Transeprency,CQ42020,1.41,4,2020,2020-12-31
+MET,MetLife,Numeric Transeprency,CQ42020,2.71,4,2020,2020-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42020,2.44,4,2020,2020-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42020,2.03,4,2020,2020-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42020,1.78,4,2020,2020-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42020,3.08,4,2020,2020-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42020,1.72,4,2020,2020-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42020,1.58,4,2020,2020-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42020,3.04,4,2020,2020-12-31
+STT,State Street,Numeric Transeprency,CQ42020,2.21,4,2020,2020-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42020,,4,2020,2020-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42020,1.87,4,2020,2020-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42020,1.85,4,2020,2020-12-31
+V,Visa,Numeric Transeprency,CQ42020,2.84,4,2020,2020-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42020,1.63,4,2020,2020-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42020,2.28,4,2020,2020-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42020,1.78,4,2020,2020-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42020,1.82,4,2020,2020-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42020,1.47,4,2020,2020-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42020,2.19,4,2020,2020-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42020,2.37,4,2020,2020-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42020,1.93,4,2020,2020-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42020,2.5,4,2020,2020-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42020,1.09,4,2020,2020-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42020,1.78,4,2020,2020-12-31
+COR,Cencora,Numeric Transeprency,CQ42020,,4,2020,2020-12-31
+CI,Cigna,Numeric Transeprency,CQ42020,1.69,4,2020,2020-12-31
+DVA,DaVita,Numeric Transeprency,CQ42020,1.53,4,2020,2020-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42020,1.38,4,2020,2020-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42020,2.42,4,2020,2020-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42020,1.62,4,2020,2020-12-31
+HUM,Humana,Numeric Transeprency,CQ42020,1.72,4,2020,2020-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42020,2.27,4,2020,2020-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42020,2.84,4,2020,2020-12-31
+LH,Labcorp,Numeric Transeprency,CQ42020,1.91,4,2020,2020-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42020,2.03,4,2020,2020-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42020,1.23,4,2020,2020-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42020,1.51,4,2020,2020-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42020,2.17,4,2020,2020-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42020,2.17,4,2020,2020-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42020,1.56,4,2020,2020-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42020,1.72,4,2020,2020-12-31
+MMM,3M,Numeric Transeprency,CQ42020,2.49,4,2020,2020-12-31
+AME,Ametek,Numeric Transeprency,CQ42020,2.08,4,2020,2020-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42020,1.55,4,2020,2020-12-31
+BA,Boeing,Numeric Transeprency,CQ42020,1.97,4,2020,2020-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42020,1.55,4,2020,2020-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42020,2.46,4,2020,2020-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42020,1.38,4,2020,2020-12-31
+CMI,Cummins,Numeric Transeprency,CQ42020,2.05,4,2020,2020-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42020,2.66,4,2020,2020-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42020,2.09,4,2020,2020-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42020,2.74,4,2020,2020-12-31
+EFX,Equifax,Numeric Transeprency,CQ42020,2.84,4,2020,2020-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42020,,4,2020,2020-12-31
+FDX,FedEx,Numeric Transeprency,CQ42020,1.56,4,2020,2020-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42020,2.5,4,2020,2020-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42020,2.61,4,2020,2020-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42020,2.66,4,2020,2020-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42020,3.09,4,2020,2020-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42020,2.05,4,2020,2020-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42020,3.17,4,2020,2020-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42020,1.67,4,2020,2020-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42020,2.71,4,2020,2020-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42020,2.57,4,2020,2020-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42020,2.13,4,2020,2020-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42020,2.95,4,2020,2020-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42020,2.77,4,2020,2020-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42020,2.43,4,2020,2020-12-31
+WM,Waste Management,Numeric Transeprency,CQ42020,1.74,4,2020,2020-12-31
+ACN,Accenture,Numeric Transeprency,CQ42020,2.81,4,2020,2020-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42020,1.43,4,2020,2020-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42020,2.08,4,2020,2020-12-31
+APH,Amphenol,Numeric Transeprency,CQ42020,1.96,4,2020,2020-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42020,2.67,4,2020,2020-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42020,1.99,4,2020,2020-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42020,2.41,4,2020,2020-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42020,1.23,4,2020,2020-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42020,3.16,4,2020,2020-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42020,1.48,4,2020,2020-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42020,1.51,4,2020,2020-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42020,1.98,4,2020,2020-12-31
+IBM,IBM,Numeric Transeprency,CQ42020,1.62,4,2020,2020-12-31
+INTC,Intel,Numeric Transeprency,CQ42020,2.79,4,2020,2020-12-31
+INTU,Intuit,Numeric Transeprency,CQ42020,1.58,4,2020,2020-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42020,1.56,4,2020,2020-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42020,,4,2020,2020-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42020,2.78,4,2020,2020-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42020,2.62,4,2020,2020-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42020,1.46,4,2020,2020-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42020,1.82,4,2020,2020-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42020,2.48,4,2020,2020-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42020,1.92,4,2020,2020-12-31
+APD,Air Products,Numeric Transeprency,CQ42020,2.47,4,2020,2020-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42020,1.67,4,2020,2020-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42020,1.46,4,2020,2020-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42020,1.89,4,2020,2020-12-31
+IP,International Paper,Numeric Transeprency,CQ42020,1.35,4,2020,2020-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42020,1.4,4,2020,2020-12-31
+NEM,Newmont,Numeric Transeprency,CQ42020,3.09,4,2020,2020-12-31
+NUE,Nucor,Numeric Transeprency,CQ42020,2.07,4,2020,2020-12-31
+AMT,American Tower,Numeric Transeprency,CQ42020,2.38,4,2020,2020-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42020,1.9,4,2020,2020-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42020,1.12,4,2020,2020-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42020,2.52,4,2020,2020-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42020,2.02,4,2020,2020-12-31
+PLD,Prologis,Numeric Transeprency,CQ42020,2.45,4,2020,2020-12-31
+VTR,Ventas,Numeric Transeprency,CQ42020,1.44,4,2020,2020-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42020,2.38,4,2020,2020-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42020,2.76,4,2020,2020-12-31
+AEE,Ameren,Numeric Transeprency,CQ42020,2.97,4,2020,2020-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42020,2.68,4,2020,2020-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42020,2.76,4,2020,2020-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42020,2.11,4,2020,2020-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42020,2.82,4,2020,2020-12-31
+EIX,Edison International,Numeric Transeprency,CQ42020,2.76,4,2020,2020-12-31
+ETR,Entergy,Numeric Transeprency,CQ42020,1.87,4,2020,2020-12-31
+EXC,Exelon,Numeric Transeprency,CQ42020,2.07,4,2020,2020-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42020,2.96,4,2020,2020-12-31
+SO,Southern Company,Numeric Transeprency,CQ42020,2.38,4,2020,2020-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42020,2.22,4,2020,2020-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42020,29.63,4,2020,2020-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42020,23.08,4,2020,2020-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42020,,4,2020,2020-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42020,17.02,4,2020,2020-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42020,2.63,4,2020,2020-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42020,23.08,4,2020,2020-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42020,46.15,4,2020,2020-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42020,34.62,4,2020,2020-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42020,12.0,4,2020,2020-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42020,20.0,4,2020,2020-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42020,21.88,4,2020,2020-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42020,19.35,4,2020,2020-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42020,39.39,4,2020,2020-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42020,68.57,4,2020,2020-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42020,47.37,4,2020,2020-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42020,55.56,4,2020,2020-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42020,23.08,4,2020,2020-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42020,60.0,4,2020,2020-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42020,20.59,4,2020,2020-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42020,0.0,4,2020,2020-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42020,10.81,4,2020,2020-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42020,70.37,4,2020,2020-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42020,24.14,4,2020,2020-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42020,22.58,4,2020,2020-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42020,42.86,4,2020,2020-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42020,50.0,4,2020,2020-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42020,31.25,4,2020,2020-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42020,53.33,4,2020,2020-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42020,65.0,4,2020,2020-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42020,37.14,4,2020,2020-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42020,47.62,4,2020,2020-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42020,75.0,4,2020,2020-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42020,57.14,4,2020,2020-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42020,7.41,4,2020,2020-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42020,,4,2020,2020-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42020,57.89,4,2020,2020-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42020,66.67,4,2020,2020-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42020,56.25,4,2020,2020-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42020,31.58,4,2020,2020-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42020,35.71,4,2020,2020-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42020,,4,2020,2020-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42020,25.0,4,2020,2020-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42020,24.14,4,2020,2020-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42020,31.58,4,2020,2020-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42020,23.08,4,2020,2020-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42020,28.57,4,2020,2020-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42020,27.59,4,2020,2020-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42020,35.29,4,2020,2020-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42020,60.0,4,2020,2020-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42020,33.33,4,2020,2020-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42020,37.04,4,2020,2020-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42020,43.75,4,2020,2020-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42020,50.0,4,2020,2020-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42020,35.71,4,2020,2020-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42020,63.16,4,2020,2020-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42020,22.73,4,2020,2020-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42020,,4,2020,2020-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42020,35.71,4,2020,2020-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42020,55.56,4,2020,2020-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42020,,4,2020,2020-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42020,35.0,4,2020,2020-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42020,83.33,4,2020,2020-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42020,54.55,4,2020,2020-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42020,25.81,4,2020,2020-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42020,52.38,4,2020,2020-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42020,26.67,4,2020,2020-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42020,28.0,4,2020,2020-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42020,47.06,4,2020,2020-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42020,57.14,4,2020,2020-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42020,64.71,4,2020,2020-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42020,44.0,4,2020,2020-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42020,45.0,4,2020,2020-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42020,22.86,4,2020,2020-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42020,58.33,4,2020,2020-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42020,36.0,4,2020,2020-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42020,55.56,4,2020,2020-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42020,72.22,4,2020,2020-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42020,30.0,4,2020,2020-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42020,58.33,4,2020,2020-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42020,47.83,4,2020,2020-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42020,60.0,4,2020,2020-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42020,68.42,4,2020,2020-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42020,,4,2020,2020-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42020,45.0,4,2020,2020-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42020,31.82,4,2020,2020-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42020,23.53,4,2020,2020-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42020,30.43,4,2020,2020-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42020,13.33,4,2020,2020-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42020,33.33,4,2020,2020-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42020,50.0,4,2020,2020-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42020,52.0,4,2020,2020-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42020,44.44,4,2020,2020-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42020,58.82,4,2020,2020-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42020,36.67,4,2020,2020-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42020,34.62,4,2020,2020-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42020,66.67,4,2020,2020-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42020,34.62,4,2020,2020-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42020,,4,2020,2020-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42020,54.17,4,2020,2020-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42020,70.0,4,2020,2020-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42020,35.29,4,2020,2020-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42020,71.43,4,2020,2020-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42020,28.0,4,2020,2020-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42020,75.0,4,2020,2020-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42020,35.29,4,2020,2020-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42020,36.84,4,2020,2020-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42020,58.82,4,2020,2020-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42020,50.0,4,2020,2020-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42020,34.62,4,2020,2020-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42020,52.94,4,2020,2020-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42020,66.67,4,2020,2020-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42020,33.33,4,2020,2020-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42020,26.67,4,2020,2020-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42020,17.24,4,2020,2020-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42020,64.29,4,2020,2020-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42020,46.67,4,2020,2020-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42020,23.53,4,2020,2020-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42020,36.84,4,2020,2020-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42020,60.71,4,2020,2020-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42020,60.87,4,2020,2020-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42020,66.67,4,2020,2020-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42020,37.5,4,2020,2020-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42020,78.95,4,2020,2020-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42020,42.86,4,2020,2020-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42020,23.81,4,2020,2020-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42020,88.89,4,2020,2020-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42020,,4,2020,2020-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42020,48.28,4,2020,2020-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42020,29.41,4,2020,2020-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42020,44.44,4,2020,2020-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42020,47.62,4,2020,2020-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42020,44.44,4,2020,2020-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42020,35.71,4,2020,2020-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42020,33.33,4,2020,2020-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42020,71.43,4,2020,2020-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42020,50.0,4,2020,2020-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42020,26.09,4,2020,2020-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42020,63.64,4,2020,2020-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42020,87.5,4,2020,2020-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42020,22.22,4,2020,2020-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42020,50.0,4,2020,2020-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42020,72.73,4,2020,2020-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42020,19.23,4,2020,2020-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42020,42.31,4,2020,2020-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42020,57.89,4,2020,2020-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42020,88.24,4,2020,2020-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42020,34.78,4,2020,2020-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42020,21.62,4,2020,2020-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42020,34.62,4,2020,2020-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42020,33.33,4,2020,2020-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42020,25.0,4,2020,2020-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42020,48.0,4,2020,2020-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42020,20.0,4,2020,2020-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42020,46.67,4,2020,2020-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42020,64.29,4,2020,2020-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42020,17.07,4,2020,2020-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42020,54.55,4,2020,2020-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42020,47.83,4,2020,2020-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42020,,4,2020,2020-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42020,20.59,4,2020,2020-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42020,50.0,4,2020,2020-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42020,65.38,4,2020,2020-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42020,22.5,4,2020,2020-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42020,13.33,4,2020,2020-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42020,28.13,4,2020,2020-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42020,54.55,4,2020,2020-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42020,50.0,4,2020,2020-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42020,60.0,4,2020,2020-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42020,47.06,4,2020,2020-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42020,53.33,4,2020,2020-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42020,41.18,4,2020,2020-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42020,42.86,4,2020,2020-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42020,54.55,4,2020,2020-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42020,37.5,4,2020,2020-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42020,20.0,4,2020,2020-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42020,60.0,4,2020,2020-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42020,55.56,4,2020,2020-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42020,71.43,4,2020,2020-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42020,66.67,4,2020,2020-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42020,57.14,4,2020,2020-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42020,58.33,4,2020,2020-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42020,54.55,4,2020,2020-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42020,23.08,4,2020,2020-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42020,27.78,4,2020,2020-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42020,52.63,4,2020,2020-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42020,53.33,4,2020,2020-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42020,41.18,4,2020,2020-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42020,40.0,4,2020,2020-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42020,52.94,4,2020,2020-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42020,33.33,4,2020,2020-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42020,27.78,4,2020,2020-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42020,41.18,4,2020,2020-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42020,66.67,4,2020,2020-12-31
+T,AT&T,Language Complexity,CQ42020,11.44,4,2020,2020-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42020,12.62,4,2020,2020-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42020,,4,2020,2020-12-31
+META,Meta Platforms,Language Complexity,CQ42020,12.71,4,2020,2020-12-31
+NFLX,Netflix,Language Complexity,CQ42020,11.42,4,2020,2020-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42020,14.6,4,2020,2020-12-31
+OMC,Omnicom Group,Language Complexity,CQ42020,13.73,4,2020,2020-12-31
+VZ,Verizon,Language Complexity,CQ42020,12.03,4,2020,2020-12-31
+AMZN,Amazon,Language Complexity,CQ42020,12.75,4,2020,2020-12-31
+AZO,AutoZone,Language Complexity,CQ42020,12.36,4,2020,2020-12-31
+BBY,Best Buy,Language Complexity,CQ42020,14.02,4,2020,2020-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42020,13.07,4,2020,2020-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42020,11.92,4,2020,2020-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42020,11.22,4,2020,2020-12-31
+F,Ford Motor Company,Language Complexity,CQ42020,11.88,4,2020,2020-12-31
+GM,General Motors,Language Complexity,CQ42020,12.8,4,2020,2020-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42020,12.51,4,2020,2020-12-31
+HAS,Hasbro,Language Complexity,CQ42020,11.29,4,2020,2020-12-31
+LOW,Lowe's,Language Complexity,CQ42020,13.81,4,2020,2020-12-31
+MCD,McDonald's,Language Complexity,CQ42020,14.58,4,2020,2020-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42020,14.16,4,2020,2020-12-31
+ROST,Ross Stores,Language Complexity,CQ42020,11.05,4,2020,2020-12-31
+TJX,TJX Companies,Language Complexity,CQ42020,11.65,4,2020,2020-12-31
+TGT,Target,Language Complexity,CQ42020,13.66,4,2020,2020-12-31
+MO,Altria,Language Complexity,CQ42020,13.64,4,2020,2020-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42020,12.55,4,2020,2020-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42020,12.35,4,2020,2020-12-31
+CLX,Clorox,Language Complexity,CQ42020,13.14,4,2020,2020-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42020,13.68,4,2020,2020-12-31
+COST,Costco,Language Complexity,CQ42020,10.17,4,2020,2020-12-31
+GIS,General Mills,Language Complexity,CQ42020,10.03,4,2020,2020-12-31
+HSY,Hershey Company,Language Complexity,CQ42020,11.1,4,2020,2020-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42020,11.43,4,2020,2020-12-31
+KR,Kroger,Language Complexity,CQ42020,14.71,4,2020,2020-12-31
+MKC,McCormick & Company,Language Complexity,CQ42020,,4,2020,2020-12-31
+PEP,PepsiCo,Language Complexity,CQ42020,11.37,4,2020,2020-12-31
+PG,Procter & Gamble,Language Complexity,CQ42020,12.79,4,2020,2020-12-31
+SYY,Sysco,Language Complexity,CQ42020,12.32,4,2020,2020-12-31
+WMT,Walmart,Language Complexity,CQ42020,11.98,4,2020,2020-12-31
+APA,APA Corporation,Language Complexity,CQ42020,10.6,4,2020,2020-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42020,,4,2020,2020-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42020,13.26,4,2020,2020-12-31
+EOG,EOG Resources,Language Complexity,CQ42020,12.99,4,2020,2020-12-31
+XOM,ExxonMobil,Language Complexity,CQ42020,13.11,4,2020,2020-12-31
+HAL,Halliburton,Language Complexity,CQ42020,14.69,4,2020,2020-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42020,13.2,4,2020,2020-12-31
+SLB,Schlumberger,Language Complexity,CQ42020,13.6,4,2020,2020-12-31
+VLO,Valero Energy,Language Complexity,CQ42020,11.11,4,2020,2020-12-31
+AFL,Aflac,Language Complexity,CQ42020,13.8,4,2020,2020-12-31
+ALL,Allstate,Language Complexity,CQ42020,12.36,4,2020,2020-12-31
+AXP,American Express,Language Complexity,CQ42020,13.22,4,2020,2020-12-31
+AIG,American International Group,Language Complexity,CQ42020,13.91,4,2020,2020-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42020,12.27,4,2020,2020-12-31
+AON,Aon plc,Language Complexity,CQ42020,13.59,4,2020,2020-12-31
+BK,BNY Mellon,Language Complexity,CQ42020,12.48,4,2020,2020-12-31
+BAC,Bank of America,Language Complexity,CQ42020,11.67,4,2020,2020-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42020,,4,2020,2020-12-31
+BLK,BlackRock,Language Complexity,CQ42020,15.18,4,2020,2020-12-31
+CME,CME Group,Language Complexity,CQ42020,11.1,4,2020,2020-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42020,,4,2020,2020-12-31
+CB,Chubb Limited,Language Complexity,CQ42020,11.16,4,2020,2020-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42020,11.78,4,2020,2020-12-31
+C,Citigroup,Language Complexity,CQ42020,12.61,4,2020,2020-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42020,12.36,4,2020,2020-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42020,13.98,4,2020,2020-12-31
+FISV,Fiserv,Language Complexity,CQ42020,12.99,4,2020,2020-12-31
+GS,Goldman Sachs,Language Complexity,CQ42020,13.67,4,2020,2020-12-31
+HIG,Hartford Financial,Language Complexity,CQ42020,12.61,4,2020,2020-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42020,13.25,4,2020,2020-12-31
+IVZ,Invesco,Language Complexity,CQ42020,12.04,4,2020,2020-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42020,10.75,4,2020,2020-12-31
+KEY,KeyCorp,Language Complexity,CQ42020,11.75,4,2020,2020-12-31
+MA,Mastercard,Language Complexity,CQ42020,12.23,4,2020,2020-12-31
+MET,MetLife,Language Complexity,CQ42020,13.29,4,2020,2020-12-31
+MS,Morgan Stanley,Language Complexity,CQ42020,10.86,4,2020,2020-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42020,13.46,4,2020,2020-12-31
+NTRS,Northern Trust,Language Complexity,CQ42020,11.37,4,2020,2020-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42020,11.51,4,2020,2020-12-31
+PRU,Prudential Financial,Language Complexity,CQ42020,13.01,4,2020,2020-12-31
+RF,Regions Financial,Language Complexity,CQ42020,10.91,4,2020,2020-12-31
+SPGI,S&P Global,Language Complexity,CQ42020,12.22,4,2020,2020-12-31
+STT,State Street,Language Complexity,CQ42020,11.62,4,2020,2020-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42020,,4,2020,2020-12-31
+TRV,Travelers Companies,Language Complexity,CQ42020,13.19,4,2020,2020-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42020,11.73,4,2020,2020-12-31
+V,Visa,Language Complexity,CQ42020,12.45,4,2020,2020-12-31
+WFC,Wells Fargo,Language Complexity,CQ42020,12.27,4,2020,2020-12-31
+ABBV,AbbVie,Language Complexity,CQ42020,12.95,4,2020,2020-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42020,11.14,4,2020,2020-12-31
+A,Agilent Technologies,Language Complexity,CQ42020,10.45,4,2020,2020-12-31
+AMGN,Amgen,Language Complexity,CQ42020,11.93,4,2020,2020-12-31
+BAX,Baxter International,Language Complexity,CQ42020,12.51,4,2020,2020-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42020,11.44,4,2020,2020-12-31
+BIIB,Biogen,Language Complexity,CQ42020,13.07,4,2020,2020-12-31
+BSX,Boston Scientific,Language Complexity,CQ42020,12.75,4,2020,2020-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42020,12.13,4,2020,2020-12-31
+CVS,CVS Health,Language Complexity,CQ42020,13.36,4,2020,2020-12-31
+COR,Cencora,Language Complexity,CQ42020,,4,2020,2020-12-31
+CI,Cigna,Language Complexity,CQ42020,14.42,4,2020,2020-12-31
+DVA,DaVita,Language Complexity,CQ42020,10.22,4,2020,2020-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42020,12.9,4,2020,2020-12-31
+LLY,Eli Lilly,Language Complexity,CQ42020,12.95,4,2020,2020-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42020,13.3,4,2020,2020-12-31
+HUM,Humana,Language Complexity,CQ42020,13.44,4,2020,2020-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42020,13.21,4,2020,2020-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42020,13.89,4,2020,2020-12-31
+LH,Labcorp,Language Complexity,CQ42020,11.33,4,2020,2020-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42020,14.37,4,2020,2020-12-31
+MDT,Medtronic,Language Complexity,CQ42020,11.31,4,2020,2020-12-31
+MRK,Merck & Co.,Language Complexity,CQ42020,14.67,4,2020,2020-12-31
+PFE,Pfizer,Language Complexity,CQ42020,12.74,4,2020,2020-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42020,12.98,4,2020,2020-12-31
+WAT,Waters Corporation,Language Complexity,CQ42020,12.22,4,2020,2020-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42020,12.28,4,2020,2020-12-31
+MMM,3M,Language Complexity,CQ42020,11.69,4,2020,2020-12-31
+AME,Ametek,Language Complexity,CQ42020,11.97,4,2020,2020-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42020,12.33,4,2020,2020-12-31
+BA,Boeing,Language Complexity,CQ42020,13.47,4,2020,2020-12-31
+CSX,CSX Corporation,Language Complexity,CQ42020,11.66,4,2020,2020-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42020,12.5,4,2020,2020-12-31
+CTAS,Cintas,Language Complexity,CQ42020,11.5,4,2020,2020-12-31
+CMI,Cummins,Language Complexity,CQ42020,11.42,4,2020,2020-12-31
+DE,Deere & Company,Language Complexity,CQ42020,12.83,4,2020,2020-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42020,12.25,4,2020,2020-12-31
+EMR,Emerson Electric,Language Complexity,CQ42020,10.97,4,2020,2020-12-31
+EFX,Equifax,Language Complexity,CQ42020,13.92,4,2020,2020-12-31
+EXPD,Expeditors International,Language Complexity,CQ42020,,4,2020,2020-12-31
+FDX,FedEx,Language Complexity,CQ42020,13.03,4,2020,2020-12-31
+GE,GE Aerospace,Language Complexity,CQ42020,11.88,4,2020,2020-12-31
+GD,General Dynamics,Language Complexity,CQ42020,11.53,4,2020,2020-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42020,12.04,4,2020,2020-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42020,12.19,4,2020,2020-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42020,12.19,4,2020,2020-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42020,12.93,4,2020,2020-12-31
+PCAR,Paccar,Language Complexity,CQ42020,10.44,4,2020,2020-12-31
+RTX,RTX Corporation,Language Complexity,CQ42020,11.89,4,2020,2020-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42020,12.57,4,2020,2020-12-31
+ROP,Roper Technologies,Language Complexity,CQ42020,12.02,4,2020,2020-12-31
+SNA,Snap-on,Language Complexity,CQ42020,11.51,4,2020,2020-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42020,14.46,4,2020,2020-12-31
+UPS,United Parcel Service,Language Complexity,CQ42020,11.23,4,2020,2020-12-31
+WM,Waste Management,Language Complexity,CQ42020,12.11,4,2020,2020-12-31
+ACN,Accenture,Language Complexity,CQ42020,13.05,4,2020,2020-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42020,15.56,4,2020,2020-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42020,11.62,4,2020,2020-12-31
+APH,Amphenol,Language Complexity,CQ42020,12.58,4,2020,2020-12-31
+ADI,Analog Devices,Language Complexity,CQ42020,12.9,4,2020,2020-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42020,12.07,4,2020,2020-12-31
+AMAT,Applied Materials,Language Complexity,CQ42020,12.47,4,2020,2020-12-31
+ADSK,Autodesk,Language Complexity,CQ42020,12.84,4,2020,2020-12-31
+AVGO,Broadcom,Language Complexity,CQ42020,12.53,4,2020,2020-12-31
+CSCO,Cisco,Language Complexity,CQ42020,11.83,4,2020,2020-12-31
+CTSH,Cognizant,Language Complexity,CQ42020,14.16,4,2020,2020-12-31
+HPQ,HP Inc.,Language Complexity,CQ42020,12.75,4,2020,2020-12-31
+IBM,IBM,Language Complexity,CQ42020,12.83,4,2020,2020-12-31
+INTC,Intel,Language Complexity,CQ42020,12.63,4,2020,2020-12-31
+INTU,Intuit,Language Complexity,CQ42020,11.4,4,2020,2020-12-31
+LRCX,Lam Research,Language Complexity,CQ42020,12.14,4,2020,2020-12-31
+MU,Micron Technology,Language Complexity,CQ42020,,4,2020,2020-12-31
+MSFT,Microsoft,Language Complexity,CQ42020,13.94,4,2020,2020-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42020,12.12,4,2020,2020-12-31
+NTAP,NetApp,Language Complexity,CQ42020,11.48,4,2020,2020-12-31
+NVDA,Nvidia,Language Complexity,CQ42020,12.57,4,2020,2020-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42020,11.86,4,2020,2020-12-31
+TXN,Texas Instruments,Language Complexity,CQ42020,10.86,4,2020,2020-12-31
+APD,Air Products,Language Complexity,CQ42020,11.41,4,2020,2020-12-31
+AVY,Avery Dennison,Language Complexity,CQ42020,12.36,4,2020,2020-12-31
+ECL,Ecolab,Language Complexity,CQ42020,10.56,4,2020,2020-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42020,11.72,4,2020,2020-12-31
+IP,International Paper,Language Complexity,CQ42020,11.96,4,2020,2020-12-31
+LIN,Linde plc,Language Complexity,CQ42020,10.8,4,2020,2020-12-31
+NEM,Newmont,Language Complexity,CQ42020,13.53,4,2020,2020-12-31
+NUE,Nucor,Language Complexity,CQ42020,11.52,4,2020,2020-12-31
+AMT,American Tower,Language Complexity,CQ42020,14.09,4,2020,2020-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42020,11.52,4,2020,2020-12-31
+EQR,Equity Residential,Language Complexity,CQ42020,12.13,4,2020,2020-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42020,11.49,4,2020,2020-12-31
+IRM,Iron Mountain,Language Complexity,CQ42020,13.71,4,2020,2020-12-31
+PLD,Prologis,Language Complexity,CQ42020,11.15,4,2020,2020-12-31
+VTR,Ventas,Language Complexity,CQ42020,12.73,4,2020,2020-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42020,12.87,4,2020,2020-12-31
+AES,AES Corporation,Language Complexity,CQ42020,11.12,4,2020,2020-12-31
+AEE,Ameren,Language Complexity,CQ42020,13.68,4,2020,2020-12-31
+AEP,American Electric Power,Language Complexity,CQ42020,12.95,4,2020,2020-12-31
+CMS,CMS Energy,Language Complexity,CQ42020,11.64,4,2020,2020-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42020,13.22,4,2020,2020-12-31
+DUK,Duke Energy,Language Complexity,CQ42020,13.22,4,2020,2020-12-31
+EIX,Edison International,Language Complexity,CQ42020,13.46,4,2020,2020-12-31
+ETR,Entergy,Language Complexity,CQ42020,12.47,4,2020,2020-12-31
+EXC,Exelon,Language Complexity,CQ42020,12.02,4,2020,2020-12-31
+NEE,NextEra Energy,Language Complexity,CQ42020,16.23,4,2020,2020-12-31
+SO,Southern Company,Language Complexity,CQ42020,11.54,4,2020,2020-12-31
+XEL,Xcel Energy,Language Complexity,CQ42020,12.27,4,2020,2020-12-31
+T,AT&T,Net Positivity,CQ12021,1.11,1,2021,2021-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12021,1.63,1,2021,2021-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12021,,1,2021,2021-03-31
+META,Meta Platforms,Net Positivity,CQ12021,0.8,1,2021,2021-03-31
+NFLX,Netflix,Net Positivity,CQ12021,1.34,1,2021,2021-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12021,1.13,1,2021,2021-03-31
+OMC,Omnicom Group,Net Positivity,CQ12021,0.62,1,2021,2021-03-31
+VZ,Verizon,Net Positivity,CQ12021,1.56,1,2021,2021-03-31
+AMZN,Amazon,Net Positivity,CQ12021,1.43,1,2021,2021-03-31
+AZO,AutoZone,Net Positivity,CQ12021,1.03,1,2021,2021-03-31
+BBY,Best Buy,Net Positivity,CQ12021,0.77,1,2021,2021-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12021,0.77,1,2021,2021-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12021,1.7,1,2021,2021-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12021,1.83,1,2021,2021-03-31
+F,Ford Motor Company,Net Positivity,CQ12021,1.73,1,2021,2021-03-31
+GM,General Motors,Net Positivity,CQ12021,1.52,1,2021,2021-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12021,2.02,1,2021,2021-03-31
+HAS,Hasbro,Net Positivity,CQ12021,1.51,1,2021,2021-03-31
+LOW,Lowe's,Net Positivity,CQ12021,1.94,1,2021,2021-03-31
+MCD,McDonald's,Net Positivity,CQ12021,1.42,1,2021,2021-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12021,1.85,1,2021,2021-03-31
+ROST,Ross Stores,Net Positivity,CQ12021,0.52,1,2021,2021-03-31
+TJX,TJX Companies,Net Positivity,CQ12021,1.13,1,2021,2021-03-31
+TGT,Target,Net Positivity,CQ12021,1.45,1,2021,2021-03-31
+MO,Altria,Net Positivity,CQ12021,1.3,1,2021,2021-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12021,1.74,1,2021,2021-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12021,0.78,1,2021,2021-03-31
+CLX,Clorox,Net Positivity,CQ12021,1.69,1,2021,2021-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12021,1.7,1,2021,2021-03-31
+COST,Costco,Net Positivity,CQ12021,0.82,1,2021,2021-03-31
+GIS,General Mills,Net Positivity,CQ12021,0.58,1,2021,2021-03-31
+HSY,Hershey Company,Net Positivity,CQ12021,1.46,1,2021,2021-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12021,1.14,1,2021,2021-03-31
+KR,Kroger,Net Positivity,CQ12021,1.72,1,2021,2021-03-31
+MKC,McCormick & Company,Net Positivity,CQ12021,1.79,1,2021,2021-03-31
+PEP,PepsiCo,Net Positivity,CQ12021,1.53,1,2021,2021-03-31
+PG,Procter & Gamble,Net Positivity,CQ12021,0.39,1,2021,2021-03-31
+SYY,Sysco,Net Positivity,CQ12021,1.24,1,2021,2021-03-31
+WMT,Walmart,Net Positivity,CQ12021,1.64,1,2021,2021-03-31
+APA,APA Corporation,Net Positivity,CQ12021,0.34,1,2021,2021-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12021,,1,2021,2021-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12021,0.91,1,2021,2021-03-31
+EOG,EOG Resources,Net Positivity,CQ12021,0.8,1,2021,2021-03-31
+XOM,ExxonMobil,Net Positivity,CQ12021,1.43,1,2021,2021-03-31
+HAL,Halliburton,Net Positivity,CQ12021,1.85,1,2021,2021-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12021,1.15,1,2021,2021-03-31
+SLB,Schlumberger,Net Positivity,CQ12021,1.15,1,2021,2021-03-31
+VLO,Valero Energy,Net Positivity,CQ12021,0.44,1,2021,2021-03-31
+AFL,Aflac,Net Positivity,CQ12021,1.35,1,2021,2021-03-31
+ALL,Allstate,Net Positivity,CQ12021,1.19,1,2021,2021-03-31
+AXP,American Express,Net Positivity,CQ12021,0.64,1,2021,2021-03-31
+AIG,American International Group,Net Positivity,CQ12021,1.29,1,2021,2021-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12021,2.3,1,2021,2021-03-31
+AON,Aon plc,Net Positivity,CQ12021,1.77,1,2021,2021-03-31
+BK,BNY Mellon,Net Positivity,CQ12021,0.74,1,2021,2021-03-31
+BAC,Bank of America,Net Positivity,CQ12021,0.04,1,2021,2021-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12021,,1,2021,2021-03-31
+BLK,BlackRock,Net Positivity,CQ12021,1.48,1,2021,2021-03-31
+CME,CME Group,Net Positivity,CQ12021,1.41,1,2021,2021-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12021,,1,2021,2021-03-31
+CB,Chubb Limited,Net Positivity,CQ12021,0.47,1,2021,2021-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12021,-0.66,1,2021,2021-03-31
+C,Citigroup,Net Positivity,CQ12021,0.78,1,2021,2021-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12021,1.72,1,2021,2021-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12021,0.86,1,2021,2021-03-31
+FISV,Fiserv,Net Positivity,CQ12021,2.22,1,2021,2021-03-31
+GS,Goldman Sachs,Net Positivity,CQ12021,1.34,1,2021,2021-03-31
+HIG,Hartford Financial,Net Positivity,CQ12021,0.81,1,2021,2021-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12021,0.86,1,2021,2021-03-31
+IVZ,Invesco,Net Positivity,CQ12021,1.47,1,2021,2021-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12021,0.54,1,2021,2021-03-31
+KEY,KeyCorp,Net Positivity,CQ12021,0.84,1,2021,2021-03-31
+MA,Mastercard,Net Positivity,CQ12021,1.01,1,2021,2021-03-31
+MET,MetLife,Net Positivity,CQ12021,0.7,1,2021,2021-03-31
+MS,Morgan Stanley,Net Positivity,CQ12021,1.15,1,2021,2021-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12021,0.72,1,2021,2021-03-31
+NTRS,Northern Trust,Net Positivity,CQ12021,0.43,1,2021,2021-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12021,0.26,1,2021,2021-03-31
+PRU,Prudential Financial,Net Positivity,CQ12021,1.06,1,2021,2021-03-31
+RF,Regions Financial,Net Positivity,CQ12021,1.22,1,2021,2021-03-31
+SPGI,S&P Global,Net Positivity,CQ12021,1.4,1,2021,2021-03-31
+STT,State Street,Net Positivity,CQ12021,0.93,1,2021,2021-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12021,,1,2021,2021-03-31
+TRV,Travelers Companies,Net Positivity,CQ12021,0.36,1,2021,2021-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12021,0.75,1,2021,2021-03-31
+V,Visa,Net Positivity,CQ12021,0.89,1,2021,2021-03-31
+WFC,Wells Fargo,Net Positivity,CQ12021,0.75,1,2021,2021-03-31
+ABBV,AbbVie,Net Positivity,CQ12021,1.25,1,2021,2021-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12021,1.6,1,2021,2021-03-31
+A,Agilent Technologies,Net Positivity,CQ12021,1.65,1,2021,2021-03-31
+AMGN,Amgen,Net Positivity,CQ12021,1.18,1,2021,2021-03-31
+BAX,Baxter International,Net Positivity,CQ12021,0.62,1,2021,2021-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12021,1.47,1,2021,2021-03-31
+BIIB,Biogen,Net Positivity,CQ12021,0.77,1,2021,2021-03-31
+BSX,Boston Scientific,Net Positivity,CQ12021,0.51,1,2021,2021-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12021,1.89,1,2021,2021-03-31
+CVS,CVS Health,Net Positivity,CQ12021,1.42,1,2021,2021-03-31
+COR,Cencora,Net Positivity,CQ12021,,1,2021,2021-03-31
+CI,Cigna,Net Positivity,CQ12021,1.24,1,2021,2021-03-31
+DVA,DaVita,Net Positivity,CQ12021,-0.05,1,2021,2021-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12021,1.06,1,2021,2021-03-31
+LLY,Eli Lilly,Net Positivity,CQ12021,1.03,1,2021,2021-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12021,0.77,1,2021,2021-03-31
+HUM,Humana,Net Positivity,CQ12021,0.27,1,2021,2021-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12021,0.64,1,2021,2021-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12021,1.43,1,2021,2021-03-31
+LH,Labcorp,Net Positivity,CQ12021,0.98,1,2021,2021-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12021,1.07,1,2021,2021-03-31
+MDT,Medtronic,Net Positivity,CQ12021,1.66,1,2021,2021-03-31
+MRK,Merck & Co.,Net Positivity,CQ12021,1.45,1,2021,2021-03-31
+PFE,Pfizer,Net Positivity,CQ12021,1.19,1,2021,2021-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12021,2.11,1,2021,2021-03-31
+WAT,Waters Corporation,Net Positivity,CQ12021,1.49,1,2021,2021-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12021,1.88,1,2021,2021-03-31
+MMM,3M,Net Positivity,CQ12021,1.69,1,2021,2021-03-31
+AME,Ametek,Net Positivity,CQ12021,1.58,1,2021,2021-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12021,1.31,1,2021,2021-03-31
+BA,Boeing,Net Positivity,CQ12021,0.64,1,2021,2021-03-31
+CSX,CSX Corporation,Net Positivity,CQ12021,1.26,1,2021,2021-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12021,0.95,1,2021,2021-03-31
+CTAS,Cintas,Net Positivity,CQ12021,0.98,1,2021,2021-03-31
+CMI,Cummins,Net Positivity,CQ12021,-0.11,1,2021,2021-03-31
+DE,Deere & Company,Net Positivity,CQ12021,1.67,1,2021,2021-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12021,0.92,1,2021,2021-03-31
+EMR,Emerson Electric,Net Positivity,CQ12021,1.41,1,2021,2021-03-31
+EFX,Equifax,Net Positivity,CQ12021,1.11,1,2021,2021-03-31
+EXPD,Expeditors International,Net Positivity,CQ12021,,1,2021,2021-03-31
+FDX,FedEx,Net Positivity,CQ12021,1.54,1,2021,2021-03-31
+GE,GE Aerospace,Net Positivity,CQ12021,1.18,1,2021,2021-03-31
+GD,General Dynamics,Net Positivity,CQ12021,0.92,1,2021,2021-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12021,1.4,1,2021,2021-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12021,1.31,1,2021,2021-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12021,0.96,1,2021,2021-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12021,0.88,1,2021,2021-03-31
+PCAR,Paccar,Net Positivity,CQ12021,2.24,1,2021,2021-03-31
+RTX,RTX Corporation,Net Positivity,CQ12021,0.64,1,2021,2021-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12021,1.13,1,2021,2021-03-31
+ROP,Roper Technologies,Net Positivity,CQ12021,0.9,1,2021,2021-03-31
+SNA,Snap-on,Net Positivity,CQ12021,1.22,1,2021,2021-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12021,1.76,1,2021,2021-03-31
+UPS,United Parcel Service,Net Positivity,CQ12021,1.44,1,2021,2021-03-31
+WM,Waste Management,Net Positivity,CQ12021,1.23,1,2021,2021-03-31
+ACN,Accenture,Net Positivity,CQ12021,1.57,1,2021,2021-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12021,2.53,1,2021,2021-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12021,0.84,1,2021,2021-03-31
+APH,Amphenol,Net Positivity,CQ12021,1.13,1,2021,2021-03-31
+ADI,Analog Devices,Net Positivity,CQ12021,1.35,1,2021,2021-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12021,1.44,1,2021,2021-03-31
+AMAT,Applied Materials,Net Positivity,CQ12021,2.13,1,2021,2021-03-31
+ADSK,Autodesk,Net Positivity,CQ12021,1.36,1,2021,2021-03-31
+AVGO,Broadcom,Net Positivity,CQ12021,0.17,1,2021,2021-03-31
+CSCO,Cisco,Net Positivity,CQ12021,1.32,1,2021,2021-03-31
+CTSH,Cognizant,Net Positivity,CQ12021,1.13,1,2021,2021-03-31
+HPQ,HP Inc.,Net Positivity,CQ12021,2.55,1,2021,2021-03-31
+IBM,IBM,Net Positivity,CQ12021,1.13,1,2021,2021-03-31
+INTC,Intel,Net Positivity,CQ12021,2.69,1,2021,2021-03-31
+INTU,Intuit,Net Positivity,CQ12021,1.52,1,2021,2021-03-31
+LRCX,Lam Research,Net Positivity,CQ12021,0.97,1,2021,2021-03-31
+MU,Micron Technology,Net Positivity,CQ12021,1.49,1,2021,2021-03-31
+MSFT,Microsoft,Net Positivity,CQ12021,1.88,1,2021,2021-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12021,1.11,1,2021,2021-03-31
+NTAP,NetApp,Net Positivity,CQ12021,2.0,1,2021,2021-03-31
+NVDA,Nvidia,Net Positivity,CQ12021,1.64,1,2021,2021-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12021,0.54,1,2021,2021-03-31
+TXN,Texas Instruments,Net Positivity,CQ12021,1.33,1,2021,2021-03-31
+APD,Air Products,Net Positivity,CQ12021,0.85,1,2021,2021-03-31
+AVY,Avery Dennison,Net Positivity,CQ12021,1.26,1,2021,2021-03-31
+ECL,Ecolab,Net Positivity,CQ12021,1.9,1,2021,2021-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12021,1.52,1,2021,2021-03-31
+IP,International Paper,Net Positivity,CQ12021,1.3,1,2021,2021-03-31
+LIN,Linde plc,Net Positivity,CQ12021,1.28,1,2021,2021-03-31
+NEM,Newmont,Net Positivity,CQ12021,1.0,1,2021,2021-03-31
+NUE,Nucor,Net Positivity,CQ12021,1.2,1,2021,2021-03-31
+AMT,American Tower,Net Positivity,CQ12021,1.13,1,2021,2021-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12021,-0.07,1,2021,2021-03-31
+EQR,Equity Residential,Net Positivity,CQ12021,0.93,1,2021,2021-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12021,0.93,1,2021,2021-03-31
+IRM,Iron Mountain,Net Positivity,CQ12021,1.23,1,2021,2021-03-31
+PLD,Prologis,Net Positivity,CQ12021,0.55,1,2021,2021-03-31
+VTR,Ventas,Net Positivity,CQ12021,1.41,1,2021,2021-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12021,1.36,1,2021,2021-03-31
+AES,AES Corporation,Net Positivity,CQ12021,1.12,1,2021,2021-03-31
+AEE,Ameren,Net Positivity,CQ12021,1.04,1,2021,2021-03-31
+AEP,American Electric Power,Net Positivity,CQ12021,0.83,1,2021,2021-03-31
+CMS,CMS Energy,Net Positivity,CQ12021,1.12,1,2021,2021-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12021,1.07,1,2021,2021-03-31
+DUK,Duke Energy,Net Positivity,CQ12021,1.51,1,2021,2021-03-31
+EIX,Edison International,Net Positivity,CQ12021,0.65,1,2021,2021-03-31
+ETR,Entergy,Net Positivity,CQ12021,0.81,1,2021,2021-03-31
+EXC,Exelon,Net Positivity,CQ12021,0.98,1,2021,2021-03-31
+NEE,NextEra Energy,Net Positivity,CQ12021,1.52,1,2021,2021-03-31
+SO,Southern Company,Net Positivity,CQ12021,0.49,1,2021,2021-03-31
+XEL,Xcel Energy,Net Positivity,CQ12021,1.53,1,2021,2021-03-31
+T,AT&T,Numeric Transeprency,CQ12021,1.55,1,2021,2021-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12021,1.79,1,2021,2021-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12021,,1,2021,2021-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12021,1.45,1,2021,2021-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12021,1.08,1,2021,2021-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12021,3.37,1,2021,2021-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12021,3.56,1,2021,2021-03-31
+VZ,Verizon,Numeric Transeprency,CQ12021,2.91,1,2021,2021-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12021,1.79,1,2021,2021-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12021,1.79,1,2021,2021-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12021,2.0,1,2021,2021-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12021,1.96,1,2021,2021-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12021,2.42,1,2021,2021-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12021,2.02,1,2021,2021-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12021,2.08,1,2021,2021-03-31
+GM,General Motors,Numeric Transeprency,CQ12021,2.23,1,2021,2021-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12021,4.09,1,2021,2021-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12021,1.85,1,2021,2021-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12021,2.08,1,2021,2021-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12021,1.93,1,2021,2021-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12021,1.26,1,2021,2021-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12021,2.43,1,2021,2021-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12021,1.5,1,2021,2021-03-31
+TGT,Target,Numeric Transeprency,CQ12021,1.48,1,2021,2021-03-31
+MO,Altria,Numeric Transeprency,CQ12021,1.73,1,2021,2021-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12021,2.6,1,2021,2021-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12021,1.09,1,2021,2021-03-31
+CLX,Clorox,Numeric Transeprency,CQ12021,1.45,1,2021,2021-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12021,1.74,1,2021,2021-03-31
+COST,Costco,Numeric Transeprency,CQ12021,3.61,1,2021,2021-03-31
+GIS,General Mills,Numeric Transeprency,CQ12021,0.81,1,2021,2021-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12021,1.18,1,2021,2021-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12021,1.86,1,2021,2021-03-31
+KR,Kroger,Numeric Transeprency,CQ12021,2.38,1,2021,2021-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12021,2.28,1,2021,2021-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12021,0.74,1,2021,2021-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12021,1.85,1,2021,2021-03-31
+SYY,Sysco,Numeric Transeprency,CQ12021,1.14,1,2021,2021-03-31
+WMT,Walmart,Numeric Transeprency,CQ12021,1.32,1,2021,2021-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12021,2.0,1,2021,2021-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12021,,1,2021,2021-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12021,2.68,1,2021,2021-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12021,2.8,1,2021,2021-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12021,2.04,1,2021,2021-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12021,1.89,1,2021,2021-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12021,2.27,1,2021,2021-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12021,2.45,1,2021,2021-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12021,2.65,1,2021,2021-03-31
+AFL,Aflac,Numeric Transeprency,CQ12021,2.56,1,2021,2021-03-31
+ALL,Allstate,Numeric Transeprency,CQ12021,2.12,1,2021,2021-03-31
+AXP,American Express,Numeric Transeprency,CQ12021,2.5,1,2021,2021-03-31
+AIG,American International Group,Numeric Transeprency,CQ12021,3.46,1,2021,2021-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12021,1.95,1,2021,2021-03-31
+AON,Aon plc,Numeric Transeprency,CQ12021,1.86,1,2021,2021-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12021,2.69,1,2021,2021-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12021,2.89,1,2021,2021-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12021,,1,2021,2021-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12021,2.92,1,2021,2021-03-31
+CME,CME Group,Numeric Transeprency,CQ12021,1.66,1,2021,2021-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12021,,1,2021,2021-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12021,2.44,1,2021,2021-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12021,3.11,1,2021,2021-03-31
+C,Citigroup,Numeric Transeprency,CQ12021,1.79,1,2021,2021-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12021,2.59,1,2021,2021-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12021,3.35,1,2021,2021-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12021,3.15,1,2021,2021-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12021,2.65,1,2021,2021-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12021,3.56,1,2021,2021-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12021,2.39,1,2021,2021-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12021,2.14,1,2021,2021-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12021,2.72,1,2021,2021-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12021,3.24,1,2021,2021-03-31
+MA,Mastercard,Numeric Transeprency,CQ12021,1.32,1,2021,2021-03-31
+MET,MetLife,Numeric Transeprency,CQ12021,4.02,1,2021,2021-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12021,4.01,1,2021,2021-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12021,3.42,1,2021,2021-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12021,2.92,1,2021,2021-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12021,3.8,1,2021,2021-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12021,1.69,1,2021,2021-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12021,2.43,1,2021,2021-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12021,3.24,1,2021,2021-03-31
+STT,State Street,Numeric Transeprency,CQ12021,3.49,1,2021,2021-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12021,,1,2021,2021-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12021,2.14,1,2021,2021-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12021,1.86,1,2021,2021-03-31
+V,Visa,Numeric Transeprency,CQ12021,2.19,1,2021,2021-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12021,1.82,1,2021,2021-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12021,2.37,1,2021,2021-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12021,2.32,1,2021,2021-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12021,1.48,1,2021,2021-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12021,2.18,1,2021,2021-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12021,2.59,1,2021,2021-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12021,1.76,1,2021,2021-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12021,2.84,1,2021,2021-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12021,4.55,1,2021,2021-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12021,1.37,1,2021,2021-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12021,2.88,1,2021,2021-03-31
+COR,Cencora,Numeric Transeprency,CQ12021,,1,2021,2021-03-31
+CI,Cigna,Numeric Transeprency,CQ12021,3.07,1,2021,2021-03-31
+DVA,DaVita,Numeric Transeprency,CQ12021,2.29,1,2021,2021-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12021,2.3,1,2021,2021-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12021,2.69,1,2021,2021-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12021,2.2,1,2021,2021-03-31
+HUM,Humana,Numeric Transeprency,CQ12021,2.28,1,2021,2021-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12021,2.18,1,2021,2021-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12021,3.09,1,2021,2021-03-31
+LH,Labcorp,Numeric Transeprency,CQ12021,2.49,1,2021,2021-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12021,2.63,1,2021,2021-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12021,1.38,1,2021,2021-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12021,1.54,1,2021,2021-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12021,2.54,1,2021,2021-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12021,3.79,1,2021,2021-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12021,2.59,1,2021,2021-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12021,1.51,1,2021,2021-03-31
+MMM,3M,Numeric Transeprency,CQ12021,2.76,1,2021,2021-03-31
+AME,Ametek,Numeric Transeprency,CQ12021,3.7,1,2021,2021-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12021,1.4,1,2021,2021-03-31
+BA,Boeing,Numeric Transeprency,CQ12021,2.84,1,2021,2021-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12021,1.69,1,2021,2021-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12021,3.36,1,2021,2021-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12021,1.54,1,2021,2021-03-31
+CMI,Cummins,Numeric Transeprency,CQ12021,4.62,1,2021,2021-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12021,2.12,1,2021,2021-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12021,3.03,1,2021,2021-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12021,2.37,1,2021,2021-03-31
+EFX,Equifax,Numeric Transeprency,CQ12021,3.56,1,2021,2021-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12021,,1,2021,2021-03-31
+FDX,FedEx,Numeric Transeprency,CQ12021,2.01,1,2021,2021-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12021,3.26,1,2021,2021-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12021,3.64,1,2021,2021-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12021,2.9,1,2021,2021-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12021,2.86,1,2021,2021-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12021,2.48,1,2021,2021-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12021,4.16,1,2021,2021-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12021,1.67,1,2021,2021-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12021,3.76,1,2021,2021-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12021,2.19,1,2021,2021-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12021,2.74,1,2021,2021-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12021,4.26,1,2021,2021-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12021,3.27,1,2021,2021-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12021,3.1,1,2021,2021-03-31
+WM,Waste Management,Numeric Transeprency,CQ12021,3.06,1,2021,2021-03-31
+ACN,Accenture,Numeric Transeprency,CQ12021,2.52,1,2021,2021-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12021,1.59,1,2021,2021-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12021,3.09,1,2021,2021-03-31
+APH,Amphenol,Numeric Transeprency,CQ12021,2.74,1,2021,2021-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12021,2.52,1,2021,2021-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12021,1.78,1,2021,2021-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12021,2.18,1,2021,2021-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12021,1.79,1,2021,2021-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12021,3.01,1,2021,2021-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12021,1.72,1,2021,2021-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12021,2.23,1,2021,2021-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12021,2.06,1,2021,2021-03-31
+IBM,IBM,Numeric Transeprency,CQ12021,2.42,1,2021,2021-03-31
+INTC,Intel,Numeric Transeprency,CQ12021,2.16,1,2021,2021-03-31
+INTU,Intuit,Numeric Transeprency,CQ12021,1.22,1,2021,2021-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12021,2.06,1,2021,2021-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12021,2.09,1,2021,2021-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12021,3.17,1,2021,2021-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12021,3.41,1,2021,2021-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12021,1.76,1,2021,2021-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12021,1.74,1,2021,2021-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12021,2.39,1,2021,2021-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12021,3.59,1,2021,2021-03-31
+APD,Air Products,Numeric Transeprency,CQ12021,2.0,1,2021,2021-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12021,2.69,1,2021,2021-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12021,2.18,1,2021,2021-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12021,3.49,1,2021,2021-03-31
+IP,International Paper,Numeric Transeprency,CQ12021,2.07,1,2021,2021-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12021,1.83,1,2021,2021-03-31
+NEM,Newmont,Numeric Transeprency,CQ12021,3.7,1,2021,2021-03-31
+NUE,Nucor,Numeric Transeprency,CQ12021,2.39,1,2021,2021-03-31
+AMT,American Tower,Numeric Transeprency,CQ12021,3.78,1,2021,2021-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12021,2.33,1,2021,2021-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12021,2.25,1,2021,2021-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12021,3.33,1,2021,2021-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12021,3.36,1,2021,2021-03-31
+PLD,Prologis,Numeric Transeprency,CQ12021,2.61,1,2021,2021-03-31
+VTR,Ventas,Numeric Transeprency,CQ12021,2.07,1,2021,2021-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12021,2.9,1,2021,2021-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12021,3.42,1,2021,2021-03-31
+AEE,Ameren,Numeric Transeprency,CQ12021,3.28,1,2021,2021-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12021,2.59,1,2021,2021-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12021,2.84,1,2021,2021-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12021,1.58,1,2021,2021-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12021,2.99,1,2021,2021-03-31
+EIX,Edison International,Numeric Transeprency,CQ12021,2.61,1,2021,2021-03-31
+ETR,Entergy,Numeric Transeprency,CQ12021,2.15,1,2021,2021-03-31
+EXC,Exelon,Numeric Transeprency,CQ12021,1.91,1,2021,2021-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12021,3.56,1,2021,2021-03-31
+SO,Southern Company,Numeric Transeprency,CQ12021,2.49,1,2021,2021-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12021,2.07,1,2021,2021-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12021,24.14,1,2021,2021-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12021,17.07,1,2021,2021-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12021,,1,2021,2021-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12021,14.89,1,2021,2021-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12021,2.44,1,2021,2021-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12021,18.18,1,2021,2021-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12021,28.57,1,2021,2021-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12021,36.0,1,2021,2021-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12021,13.64,1,2021,2021-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12021,16.0,1,2021,2021-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12021,14.29,1,2021,2021-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12021,25.0,1,2021,2021-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12021,27.78,1,2021,2021-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12021,58.06,1,2021,2021-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12021,42.11,1,2021,2021-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12021,66.67,1,2021,2021-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12021,21.43,1,2021,2021-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12021,46.67,1,2021,2021-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12021,19.35,1,2021,2021-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12021,35.14,1,2021,2021-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12021,15.15,1,2021,2021-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12021,68.0,1,2021,2021-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12021,19.23,1,2021,2021-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12021,20.69,1,2021,2021-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12021,50.0,1,2021,2021-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12021,69.23,1,2021,2021-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12021,46.67,1,2021,2021-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12021,52.94,1,2021,2021-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12021,47.83,1,2021,2021-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12021,27.27,1,2021,2021-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12021,55.0,1,2021,2021-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12021,63.16,1,2021,2021-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12021,52.94,1,2021,2021-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12021,25.0,1,2021,2021-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12021,50.0,1,2021,2021-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12021,59.09,1,2021,2021-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12021,59.09,1,2021,2021-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12021,64.29,1,2021,2021-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12021,22.22,1,2021,2021-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12021,26.92,1,2021,2021-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12021,,1,2021,2021-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12021,24.0,1,2021,2021-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12021,28.57,1,2021,2021-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12021,27.27,1,2021,2021-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12021,21.43,1,2021,2021-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12021,29.17,1,2021,2021-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12021,28.57,1,2021,2021-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12021,30.0,1,2021,2021-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12021,36.36,1,2021,2021-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12021,29.41,1,2021,2021-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12021,35.71,1,2021,2021-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12021,18.75,1,2021,2021-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12021,50.0,1,2021,2021-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12021,53.85,1,2021,2021-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12021,42.11,1,2021,2021-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12021,33.33,1,2021,2021-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12021,,1,2021,2021-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12021,31.25,1,2021,2021-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12021,70.0,1,2021,2021-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12021,,1,2021,2021-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12021,23.81,1,2021,2021-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12021,50.0,1,2021,2021-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12021,42.31,1,2021,2021-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12021,26.47,1,2021,2021-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12021,52.17,1,2021,2021-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12021,18.18,1,2021,2021-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12021,42.31,1,2021,2021-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12021,43.75,1,2021,2021-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12021,57.89,1,2021,2021-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12021,52.94,1,2021,2021-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12021,40.74,1,2021,2021-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12021,36.36,1,2021,2021-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12021,16.22,1,2021,2021-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12021,42.86,1,2021,2021-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12021,30.77,1,2021,2021-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12021,61.11,1,2021,2021-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12021,66.67,1,2021,2021-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12021,35.71,1,2021,2021-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12021,69.23,1,2021,2021-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12021,29.63,1,2021,2021-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12021,57.14,1,2021,2021-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12021,15.79,1,2021,2021-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12021,,1,2021,2021-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12021,52.38,1,2021,2021-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12021,40.0,1,2021,2021-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12021,21.62,1,2021,2021-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12021,42.31,1,2021,2021-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12021,42.11,1,2021,2021-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12021,28.57,1,2021,2021-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12021,58.82,1,2021,2021-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12021,53.85,1,2021,2021-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12021,41.18,1,2021,2021-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12021,52.94,1,2021,2021-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12021,32.14,1,2021,2021-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12021,18.52,1,2021,2021-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12021,56.25,1,2021,2021-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12021,37.5,1,2021,2021-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12021,,1,2021,2021-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12021,54.55,1,2021,2021-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12021,60.0,1,2021,2021-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12021,38.89,1,2021,2021-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12021,57.14,1,2021,2021-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12021,28.57,1,2021,2021-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12021,59.09,1,2021,2021-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12021,31.58,1,2021,2021-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12021,52.94,1,2021,2021-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12021,75.0,1,2021,2021-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12021,47.06,1,2021,2021-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12021,40.0,1,2021,2021-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12021,52.63,1,2021,2021-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12021,69.23,1,2021,2021-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12021,19.05,1,2021,2021-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12021,46.67,1,2021,2021-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12021,35.71,1,2021,2021-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12021,52.94,1,2021,2021-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12021,53.33,1,2021,2021-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12021,47.06,1,2021,2021-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12021,45.0,1,2021,2021-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12021,62.96,1,2021,2021-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12021,43.48,1,2021,2021-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12021,64.29,1,2021,2021-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12021,22.73,1,2021,2021-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12021,73.68,1,2021,2021-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12021,36.36,1,2021,2021-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12021,33.33,1,2021,2021-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12021,80.0,1,2021,2021-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12021,,1,2021,2021-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12021,35.71,1,2021,2021-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12021,38.89,1,2021,2021-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12021,29.41,1,2021,2021-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12021,47.37,1,2021,2021-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12021,47.06,1,2021,2021-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12021,61.54,1,2021,2021-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12021,58.82,1,2021,2021-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12021,77.78,1,2021,2021-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12021,42.86,1,2021,2021-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12021,21.74,1,2021,2021-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12021,50.0,1,2021,2021-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12021,66.67,1,2021,2021-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12021,27.78,1,2021,2021-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12021,57.69,1,2021,2021-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12021,68.75,1,2021,2021-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12021,23.08,1,2021,2021-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12021,44.0,1,2021,2021-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12021,64.71,1,2021,2021-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12021,81.25,1,2021,2021-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12021,33.33,1,2021,2021-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12021,24.32,1,2021,2021-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12021,50.0,1,2021,2021-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12021,30.43,1,2021,2021-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12021,35.48,1,2021,2021-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12021,45.83,1,2021,2021-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12021,21.43,1,2021,2021-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12021,50.0,1,2021,2021-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12021,42.86,1,2021,2021-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12021,22.22,1,2021,2021-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12021,66.67,1,2021,2021-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12021,41.67,1,2021,2021-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12021,26.47,1,2021,2021-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12021,16.22,1,2021,2021-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12021,81.82,1,2021,2021-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12021,54.17,1,2021,2021-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12021,16.67,1,2021,2021-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12021,14.29,1,2021,2021-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12021,20.69,1,2021,2021-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12021,50.0,1,2021,2021-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12021,58.33,1,2021,2021-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12021,52.38,1,2021,2021-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12021,33.33,1,2021,2021-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12021,60.0,1,2021,2021-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12021,50.0,1,2021,2021-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12021,26.32,1,2021,2021-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12021,54.55,1,2021,2021-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12021,36.36,1,2021,2021-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12021,25.0,1,2021,2021-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12021,0.0,1,2021,2021-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12021,55.56,1,2021,2021-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12021,85.71,1,2021,2021-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12021,83.33,1,2021,2021-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12021,37.5,1,2021,2021-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12021,50.0,1,2021,2021-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12021,55.56,1,2021,2021-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12021,35.71,1,2021,2021-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12021,36.84,1,2021,2021-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12021,30.0,1,2021,2021-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12021,31.25,1,2021,2021-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12021,33.33,1,2021,2021-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12021,17.65,1,2021,2021-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12021,47.06,1,2021,2021-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12021,31.58,1,2021,2021-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12021,20.0,1,2021,2021-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12021,42.11,1,2021,2021-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12021,31.25,1,2021,2021-03-31
+T,AT&T,Language Complexity,CQ12021,12.1,1,2021,2021-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12021,13.33,1,2021,2021-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12021,,1,2021,2021-03-31
+META,Meta Platforms,Language Complexity,CQ12021,12.44,1,2021,2021-03-31
+NFLX,Netflix,Language Complexity,CQ12021,10.56,1,2021,2021-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12021,14.95,1,2021,2021-03-31
+OMC,Omnicom Group,Language Complexity,CQ12021,14.18,1,2021,2021-03-31
+VZ,Verizon,Language Complexity,CQ12021,11.5,1,2021,2021-03-31
+AMZN,Amazon,Language Complexity,CQ12021,12.47,1,2021,2021-03-31
+AZO,AutoZone,Language Complexity,CQ12021,12.46,1,2021,2021-03-31
+BBY,Best Buy,Language Complexity,CQ12021,14.83,1,2021,2021-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12021,12.89,1,2021,2021-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12021,12.04,1,2021,2021-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12021,11.2,1,2021,2021-03-31
+F,Ford Motor Company,Language Complexity,CQ12021,12.58,1,2021,2021-03-31
+GM,General Motors,Language Complexity,CQ12021,13.21,1,2021,2021-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12021,12.96,1,2021,2021-03-31
+HAS,Hasbro,Language Complexity,CQ12021,12.26,1,2021,2021-03-31
+LOW,Lowe's,Language Complexity,CQ12021,13.61,1,2021,2021-03-31
+MCD,McDonald's,Language Complexity,CQ12021,13.01,1,2021,2021-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12021,13.82,1,2021,2021-03-31
+ROST,Ross Stores,Language Complexity,CQ12021,12.02,1,2021,2021-03-31
+TJX,TJX Companies,Language Complexity,CQ12021,12.23,1,2021,2021-03-31
+TGT,Target,Language Complexity,CQ12021,13.05,1,2021,2021-03-31
+MO,Altria,Language Complexity,CQ12021,12.57,1,2021,2021-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12021,11.46,1,2021,2021-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12021,12.22,1,2021,2021-03-31
+CLX,Clorox,Language Complexity,CQ12021,12.33,1,2021,2021-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12021,13.46,1,2021,2021-03-31
+COST,Costco,Language Complexity,CQ12021,10.27,1,2021,2021-03-31
+GIS,General Mills,Language Complexity,CQ12021,10.34,1,2021,2021-03-31
+HSY,Hershey Company,Language Complexity,CQ12021,10.86,1,2021,2021-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12021,11.48,1,2021,2021-03-31
+KR,Kroger,Language Complexity,CQ12021,14.24,1,2021,2021-03-31
+MKC,McCormick & Company,Language Complexity,CQ12021,14.09,1,2021,2021-03-31
+PEP,PepsiCo,Language Complexity,CQ12021,11.53,1,2021,2021-03-31
+PG,Procter & Gamble,Language Complexity,CQ12021,13.22,1,2021,2021-03-31
+SYY,Sysco,Language Complexity,CQ12021,12.35,1,2021,2021-03-31
+WMT,Walmart,Language Complexity,CQ12021,11.81,1,2021,2021-03-31
+APA,APA Corporation,Language Complexity,CQ12021,10.84,1,2021,2021-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12021,,1,2021,2021-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12021,12.15,1,2021,2021-03-31
+EOG,EOG Resources,Language Complexity,CQ12021,12.27,1,2021,2021-03-31
+XOM,ExxonMobil,Language Complexity,CQ12021,14.78,1,2021,2021-03-31
+HAL,Halliburton,Language Complexity,CQ12021,14.19,1,2021,2021-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12021,12.98,1,2021,2021-03-31
+SLB,Schlumberger,Language Complexity,CQ12021,13.71,1,2021,2021-03-31
+VLO,Valero Energy,Language Complexity,CQ12021,11.41,1,2021,2021-03-31
+AFL,Aflac,Language Complexity,CQ12021,13.93,1,2021,2021-03-31
+ALL,Allstate,Language Complexity,CQ12021,12.43,1,2021,2021-03-31
+AXP,American Express,Language Complexity,CQ12021,12.68,1,2021,2021-03-31
+AIG,American International Group,Language Complexity,CQ12021,14.07,1,2021,2021-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12021,11.96,1,2021,2021-03-31
+AON,Aon plc,Language Complexity,CQ12021,13.46,1,2021,2021-03-31
+BK,BNY Mellon,Language Complexity,CQ12021,12.29,1,2021,2021-03-31
+BAC,Bank of America,Language Complexity,CQ12021,11.31,1,2021,2021-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12021,,1,2021,2021-03-31
+BLK,BlackRock,Language Complexity,CQ12021,15.55,1,2021,2021-03-31
+CME,CME Group,Language Complexity,CQ12021,11.02,1,2021,2021-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12021,,1,2021,2021-03-31
+CB,Chubb Limited,Language Complexity,CQ12021,12.3,1,2021,2021-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12021,12.3,1,2021,2021-03-31
+C,Citigroup,Language Complexity,CQ12021,12.01,1,2021,2021-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12021,12.82,1,2021,2021-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12021,13.19,1,2021,2021-03-31
+FISV,Fiserv,Language Complexity,CQ12021,13.64,1,2021,2021-03-31
+GS,Goldman Sachs,Language Complexity,CQ12021,14.15,1,2021,2021-03-31
+HIG,Hartford Financial,Language Complexity,CQ12021,12.83,1,2021,2021-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12021,13.42,1,2021,2021-03-31
+IVZ,Invesco,Language Complexity,CQ12021,11.68,1,2021,2021-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12021,10.2,1,2021,2021-03-31
+KEY,KeyCorp,Language Complexity,CQ12021,11.47,1,2021,2021-03-31
+MA,Mastercard,Language Complexity,CQ12021,11.96,1,2021,2021-03-31
+MET,MetLife,Language Complexity,CQ12021,12.51,1,2021,2021-03-31
+MS,Morgan Stanley,Language Complexity,CQ12021,11.18,1,2021,2021-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12021,13.9,1,2021,2021-03-31
+NTRS,Northern Trust,Language Complexity,CQ12021,11.59,1,2021,2021-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12021,11.72,1,2021,2021-03-31
+PRU,Prudential Financial,Language Complexity,CQ12021,12.92,1,2021,2021-03-31
+RF,Regions Financial,Language Complexity,CQ12021,11.93,1,2021,2021-03-31
+SPGI,S&P Global,Language Complexity,CQ12021,13.15,1,2021,2021-03-31
+STT,State Street,Language Complexity,CQ12021,12.59,1,2021,2021-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12021,,1,2021,2021-03-31
+TRV,Travelers Companies,Language Complexity,CQ12021,13.33,1,2021,2021-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12021,12.03,1,2021,2021-03-31
+V,Visa,Language Complexity,CQ12021,12.65,1,2021,2021-03-31
+WFC,Wells Fargo,Language Complexity,CQ12021,12.79,1,2021,2021-03-31
+ABBV,AbbVie,Language Complexity,CQ12021,12.67,1,2021,2021-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12021,11.48,1,2021,2021-03-31
+A,Agilent Technologies,Language Complexity,CQ12021,10.11,1,2021,2021-03-31
+AMGN,Amgen,Language Complexity,CQ12021,12.06,1,2021,2021-03-31
+BAX,Baxter International,Language Complexity,CQ12021,11.78,1,2021,2021-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12021,12.41,1,2021,2021-03-31
+BIIB,Biogen,Language Complexity,CQ12021,13.78,1,2021,2021-03-31
+BSX,Boston Scientific,Language Complexity,CQ12021,13.06,1,2021,2021-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12021,13.26,1,2021,2021-03-31
+CVS,CVS Health,Language Complexity,CQ12021,12.66,1,2021,2021-03-31
+COR,Cencora,Language Complexity,CQ12021,,1,2021,2021-03-31
+CI,Cigna,Language Complexity,CQ12021,14.78,1,2021,2021-03-31
+DVA,DaVita,Language Complexity,CQ12021,10.95,1,2021,2021-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12021,12.63,1,2021,2021-03-31
+LLY,Eli Lilly,Language Complexity,CQ12021,12.03,1,2021,2021-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12021,12.09,1,2021,2021-03-31
+HUM,Humana,Language Complexity,CQ12021,15.19,1,2021,2021-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12021,13.15,1,2021,2021-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12021,14.45,1,2021,2021-03-31
+LH,Labcorp,Language Complexity,CQ12021,11.81,1,2021,2021-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12021,14.19,1,2021,2021-03-31
+MDT,Medtronic,Language Complexity,CQ12021,11.58,1,2021,2021-03-31
+MRK,Merck & Co.,Language Complexity,CQ12021,13.21,1,2021,2021-03-31
+PFE,Pfizer,Language Complexity,CQ12021,12.86,1,2021,2021-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12021,12.93,1,2021,2021-03-31
+WAT,Waters Corporation,Language Complexity,CQ12021,12.19,1,2021,2021-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12021,11.93,1,2021,2021-03-31
+MMM,3M,Language Complexity,CQ12021,12.2,1,2021,2021-03-31
+AME,Ametek,Language Complexity,CQ12021,11.0,1,2021,2021-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12021,12.6,1,2021,2021-03-31
+BA,Boeing,Language Complexity,CQ12021,13.36,1,2021,2021-03-31
+CSX,CSX Corporation,Language Complexity,CQ12021,11.67,1,2021,2021-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12021,12.86,1,2021,2021-03-31
+CTAS,Cintas,Language Complexity,CQ12021,11.93,1,2021,2021-03-31
+CMI,Cummins,Language Complexity,CQ12021,12.6,1,2021,2021-03-31
+DE,Deere & Company,Language Complexity,CQ12021,13.1,1,2021,2021-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12021,11.53,1,2021,2021-03-31
+EMR,Emerson Electric,Language Complexity,CQ12021,9.64,1,2021,2021-03-31
+EFX,Equifax,Language Complexity,CQ12021,13.14,1,2021,2021-03-31
+EXPD,Expeditors International,Language Complexity,CQ12021,,1,2021,2021-03-31
+FDX,FedEx,Language Complexity,CQ12021,12.68,1,2021,2021-03-31
+GE,GE Aerospace,Language Complexity,CQ12021,12.32,1,2021,2021-03-31
+GD,General Dynamics,Language Complexity,CQ12021,11.88,1,2021,2021-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12021,12.11,1,2021,2021-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12021,12.69,1,2021,2021-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12021,11.9,1,2021,2021-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12021,13.46,1,2021,2021-03-31
+PCAR,Paccar,Language Complexity,CQ12021,10.73,1,2021,2021-03-31
+RTX,RTX Corporation,Language Complexity,CQ12021,12.42,1,2021,2021-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12021,12.3,1,2021,2021-03-31
+ROP,Roper Technologies,Language Complexity,CQ12021,11.37,1,2021,2021-03-31
+SNA,Snap-on,Language Complexity,CQ12021,12.66,1,2021,2021-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12021,14.0,1,2021,2021-03-31
+UPS,United Parcel Service,Language Complexity,CQ12021,10.64,1,2021,2021-03-31
+WM,Waste Management,Language Complexity,CQ12021,12.12,1,2021,2021-03-31
+ACN,Accenture,Language Complexity,CQ12021,13.56,1,2021,2021-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12021,14.93,1,2021,2021-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12021,11.93,1,2021,2021-03-31
+APH,Amphenol,Language Complexity,CQ12021,14.47,1,2021,2021-03-31
+ADI,Analog Devices,Language Complexity,CQ12021,12.19,1,2021,2021-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12021,11.87,1,2021,2021-03-31
+AMAT,Applied Materials,Language Complexity,CQ12021,12.25,1,2021,2021-03-31
+ADSK,Autodesk,Language Complexity,CQ12021,13.24,1,2021,2021-03-31
+AVGO,Broadcom,Language Complexity,CQ12021,11.17,1,2021,2021-03-31
+CSCO,Cisco,Language Complexity,CQ12021,12.36,1,2021,2021-03-31
+CTSH,Cognizant,Language Complexity,CQ12021,15.48,1,2021,2021-03-31
+HPQ,HP Inc.,Language Complexity,CQ12021,12.59,1,2021,2021-03-31
+IBM,IBM,Language Complexity,CQ12021,12.26,1,2021,2021-03-31
+INTC,Intel,Language Complexity,CQ12021,13.55,1,2021,2021-03-31
+INTU,Intuit,Language Complexity,CQ12021,11.99,1,2021,2021-03-31
+LRCX,Lam Research,Language Complexity,CQ12021,11.36,1,2021,2021-03-31
+MU,Micron Technology,Language Complexity,CQ12021,12.62,1,2021,2021-03-31
+MSFT,Microsoft,Language Complexity,CQ12021,14.61,1,2021,2021-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12021,12.63,1,2021,2021-03-31
+NTAP,NetApp,Language Complexity,CQ12021,11.53,1,2021,2021-03-31
+NVDA,Nvidia,Language Complexity,CQ12021,11.87,1,2021,2021-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12021,12.01,1,2021,2021-03-31
+TXN,Texas Instruments,Language Complexity,CQ12021,10.54,1,2021,2021-03-31
+APD,Air Products,Language Complexity,CQ12021,11.17,1,2021,2021-03-31
+AVY,Avery Dennison,Language Complexity,CQ12021,12.76,1,2021,2021-03-31
+ECL,Ecolab,Language Complexity,CQ12021,11.4,1,2021,2021-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12021,12.43,1,2021,2021-03-31
+IP,International Paper,Language Complexity,CQ12021,12.33,1,2021,2021-03-31
+LIN,Linde plc,Language Complexity,CQ12021,11.79,1,2021,2021-03-31
+NEM,Newmont,Language Complexity,CQ12021,13.17,1,2021,2021-03-31
+NUE,Nucor,Language Complexity,CQ12021,12.0,1,2021,2021-03-31
+AMT,American Tower,Language Complexity,CQ12021,12.93,1,2021,2021-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12021,12.18,1,2021,2021-03-31
+EQR,Equity Residential,Language Complexity,CQ12021,12.37,1,2021,2021-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12021,11.96,1,2021,2021-03-31
+IRM,Iron Mountain,Language Complexity,CQ12021,13.41,1,2021,2021-03-31
+PLD,Prologis,Language Complexity,CQ12021,10.93,1,2021,2021-03-31
+VTR,Ventas,Language Complexity,CQ12021,11.79,1,2021,2021-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12021,12.99,1,2021,2021-03-31
+AES,AES Corporation,Language Complexity,CQ12021,11.29,1,2021,2021-03-31
+AEE,Ameren,Language Complexity,CQ12021,14.8,1,2021,2021-03-31
+AEP,American Electric Power,Language Complexity,CQ12021,13.15,1,2021,2021-03-31
+CMS,CMS Energy,Language Complexity,CQ12021,11.82,1,2021,2021-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12021,13.6,1,2021,2021-03-31
+DUK,Duke Energy,Language Complexity,CQ12021,13.79,1,2021,2021-03-31
+EIX,Edison International,Language Complexity,CQ12021,13.5,1,2021,2021-03-31
+ETR,Entergy,Language Complexity,CQ12021,12.72,1,2021,2021-03-31
+EXC,Exelon,Language Complexity,CQ12021,13.13,1,2021,2021-03-31
+NEE,NextEra Energy,Language Complexity,CQ12021,17.25,1,2021,2021-03-31
+SO,Southern Company,Language Complexity,CQ12021,12.58,1,2021,2021-03-31
+XEL,Xcel Energy,Language Complexity,CQ12021,12.44,1,2021,2021-03-31
+T,AT&T,Net Positivity,CQ22021,1.45,2,2021,2021-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22021,1.89,2,2021,2021-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22021,,2,2021,2021-06-30
+META,Meta Platforms,Net Positivity,CQ22021,1.5,2,2021,2021-06-30
+NFLX,Netflix,Net Positivity,CQ22021,1.52,2,2021,2021-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22021,1.55,2,2021,2021-06-30
+OMC,Omnicom Group,Net Positivity,CQ22021,1.08,2,2021,2021-06-30
+VZ,Verizon,Net Positivity,CQ22021,2.13,2,2021,2021-06-30
+AMZN,Amazon,Net Positivity,CQ22021,2.02,2,2021,2021-06-30
+AZO,AutoZone,Net Positivity,CQ22021,1.6,2,2021,2021-06-30
+BBY,Best Buy,Net Positivity,CQ22021,1.49,2,2021,2021-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22021,1.02,2,2021,2021-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22021,1.87,2,2021,2021-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22021,1.55,2,2021,2021-06-30
+F,Ford Motor Company,Net Positivity,CQ22021,1.43,2,2021,2021-06-30
+GM,General Motors,Net Positivity,CQ22021,1.28,2,2021,2021-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22021,2.78,2,2021,2021-06-30
+HAS,Hasbro,Net Positivity,CQ22021,1.55,2,2021,2021-06-30
+LOW,Lowe's,Net Positivity,CQ22021,2.31,2,2021,2021-06-30
+MCD,McDonald's,Net Positivity,CQ22021,1.72,2,2021,2021-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22021,2.41,2,2021,2021-06-30
+ROST,Ross Stores,Net Positivity,CQ22021,1.13,2,2021,2021-06-30
+TJX,TJX Companies,Net Positivity,CQ22021,1.03,2,2021,2021-06-30
+TGT,Target,Net Positivity,CQ22021,1.98,2,2021,2021-06-30
+MO,Altria,Net Positivity,CQ22021,0.59,2,2021,2021-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22021,1.49,2,2021,2021-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22021,1.3,2,2021,2021-06-30
+CLX,Clorox,Net Positivity,CQ22021,1.37,2,2021,2021-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22021,1.64,2,2021,2021-06-30
+COST,Costco,Net Positivity,CQ22021,0.74,2,2021,2021-06-30
+GIS,General Mills,Net Positivity,CQ22021,0.51,2,2021,2021-06-30
+HSY,Hershey Company,Net Positivity,CQ22021,1.86,2,2021,2021-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22021,0.52,2,2021,2021-06-30
+KR,Kroger,Net Positivity,CQ22021,1.9,2,2021,2021-06-30
+MKC,McCormick & Company,Net Positivity,CQ22021,,2,2021,2021-06-30
+PEP,PepsiCo,Net Positivity,CQ22021,1.7,2,2021,2021-06-30
+PG,Procter & Gamble,Net Positivity,CQ22021,0.6,2,2021,2021-06-30
+SYY,Sysco,Net Positivity,CQ22021,1.6,2,2021,2021-06-30
+WMT,Walmart,Net Positivity,CQ22021,2.21,2,2021,2021-06-30
+APA,APA Corporation,Net Positivity,CQ22021,0.66,2,2021,2021-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22021,,2,2021,2021-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22021,0.69,2,2021,2021-06-30
+EOG,EOG Resources,Net Positivity,CQ22021,1.29,2,2021,2021-06-30
+XOM,ExxonMobil,Net Positivity,CQ22021,1.59,2,2021,2021-06-30
+HAL,Halliburton,Net Positivity,CQ22021,2.05,2,2021,2021-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22021,1.43,2,2021,2021-06-30
+SLB,Schlumberger,Net Positivity,CQ22021,1.81,2,2021,2021-06-30
+VLO,Valero Energy,Net Positivity,CQ22021,0.28,2,2021,2021-06-30
+AFL,Aflac,Net Positivity,CQ22021,0.5,2,2021,2021-06-30
+ALL,Allstate,Net Positivity,CQ22021,0.55,2,2021,2021-06-30
+AXP,American Express,Net Positivity,CQ22021,1.16,2,2021,2021-06-30
+AIG,American International Group,Net Positivity,CQ22021,0.85,2,2021,2021-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22021,1.77,2,2021,2021-06-30
+AON,Aon plc,Net Positivity,CQ22021,1.89,2,2021,2021-06-30
+BK,BNY Mellon,Net Positivity,CQ22021,0.58,2,2021,2021-06-30
+BAC,Bank of America,Net Positivity,CQ22021,0.6,2,2021,2021-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22021,,2,2021,2021-06-30
+BLK,BlackRock,Net Positivity,CQ22021,1.42,2,2021,2021-06-30
+CME,CME Group,Net Positivity,CQ22021,0.55,2,2021,2021-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22021,,2,2021,2021-06-30
+CB,Chubb Limited,Net Positivity,CQ22021,0.59,2,2021,2021-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22021,0.33,2,2021,2021-06-30
+C,Citigroup,Net Positivity,CQ22021,1.07,2,2021,2021-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22021,2.26,2,2021,2021-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22021,1.54,2,2021,2021-06-30
+FISV,Fiserv,Net Positivity,CQ22021,1.7,2,2021,2021-06-30
+GS,Goldman Sachs,Net Positivity,CQ22021,1.17,2,2021,2021-06-30
+HIG,Hartford Financial,Net Positivity,CQ22021,0.87,2,2021,2021-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22021,1.04,2,2021,2021-06-30
+IVZ,Invesco,Net Positivity,CQ22021,1.39,2,2021,2021-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22021,0.17,2,2021,2021-06-30
+KEY,KeyCorp,Net Positivity,CQ22021,1.07,2,2021,2021-06-30
+MA,Mastercard,Net Positivity,CQ22021,1.41,2,2021,2021-06-30
+MET,MetLife,Net Positivity,CQ22021,1.08,2,2021,2021-06-30
+MS,Morgan Stanley,Net Positivity,CQ22021,1.0,2,2021,2021-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22021,1.32,2,2021,2021-06-30
+NTRS,Northern Trust,Net Positivity,CQ22021,0.87,2,2021,2021-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22021,0.0,2,2021,2021-06-30
+PRU,Prudential Financial,Net Positivity,CQ22021,0.92,2,2021,2021-06-30
+RF,Regions Financial,Net Positivity,CQ22021,0.98,2,2021,2021-06-30
+SPGI,S&P Global,Net Positivity,CQ22021,0.85,2,2021,2021-06-30
+STT,State Street,Net Positivity,CQ22021,0.85,2,2021,2021-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22021,,2,2021,2021-06-30
+TRV,Travelers Companies,Net Positivity,CQ22021,1.12,2,2021,2021-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22021,0.89,2,2021,2021-06-30
+V,Visa,Net Positivity,CQ22021,1.14,2,2021,2021-06-30
+WFC,Wells Fargo,Net Positivity,CQ22021,0.43,2,2021,2021-06-30
+ABBV,AbbVie,Net Positivity,CQ22021,1.07,2,2021,2021-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22021,1.68,2,2021,2021-06-30
+A,Agilent Technologies,Net Positivity,CQ22021,1.65,2,2021,2021-06-30
+AMGN,Amgen,Net Positivity,CQ22021,0.75,2,2021,2021-06-30
+BAX,Baxter International,Net Positivity,CQ22021,0.66,2,2021,2021-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22021,1.75,2,2021,2021-06-30
+BIIB,Biogen,Net Positivity,CQ22021,0.83,2,2021,2021-06-30
+BSX,Boston Scientific,Net Positivity,CQ22021,1.51,2,2021,2021-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22021,2.05,2,2021,2021-06-30
+CVS,CVS Health,Net Positivity,CQ22021,1.45,2,2021,2021-06-30
+COR,Cencora,Net Positivity,CQ22021,,2,2021,2021-06-30
+CI,Cigna,Net Positivity,CQ22021,1.63,2,2021,2021-06-30
+DVA,DaVita,Net Positivity,CQ22021,-0.05,2,2021,2021-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22021,1.27,2,2021,2021-06-30
+LLY,Eli Lilly,Net Positivity,CQ22021,1.6,2,2021,2021-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22021,0.91,2,2021,2021-06-30
+HUM,Humana,Net Positivity,CQ22021,1.18,2,2021,2021-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22021,0.62,2,2021,2021-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22021,1.39,2,2021,2021-06-30
+LH,Labcorp,Net Positivity,CQ22021,1.21,2,2021,2021-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22021,1.02,2,2021,2021-06-30
+MDT,Medtronic,Net Positivity,CQ22021,1.52,2,2021,2021-06-30
+MRK,Merck & Co.,Net Positivity,CQ22021,2.27,2,2021,2021-06-30
+PFE,Pfizer,Net Positivity,CQ22021,0.46,2,2021,2021-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22021,2.53,2,2021,2021-06-30
+WAT,Waters Corporation,Net Positivity,CQ22021,2.01,2,2021,2021-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22021,1.71,2,2021,2021-06-30
+MMM,3M,Net Positivity,CQ22021,1.21,2,2021,2021-06-30
+AME,Ametek,Net Positivity,CQ22021,1.72,2,2021,2021-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22021,1.44,2,2021,2021-06-30
+BA,Boeing,Net Positivity,CQ22021,1.15,2,2021,2021-06-30
+CSX,CSX Corporation,Net Positivity,CQ22021,1.19,2,2021,2021-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22021,1.63,2,2021,2021-06-30
+CTAS,Cintas,Net Positivity,CQ22021,,2,2021,2021-06-30
+CMI,Cummins,Net Positivity,CQ22021,1.01,2,2021,2021-06-30
+DE,Deere & Company,Net Positivity,CQ22021,1.23,2,2021,2021-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22021,0.91,2,2021,2021-06-30
+EMR,Emerson Electric,Net Positivity,CQ22021,1.72,2,2021,2021-06-30
+EFX,Equifax,Net Positivity,CQ22021,1.04,2,2021,2021-06-30
+EXPD,Expeditors International,Net Positivity,CQ22021,,2,2021,2021-06-30
+FDX,FedEx,Net Positivity,CQ22021,2.0,2,2021,2021-06-30
+GE,GE Aerospace,Net Positivity,CQ22021,1.42,2,2021,2021-06-30
+GD,General Dynamics,Net Positivity,CQ22021,1.01,2,2021,2021-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22021,1.08,2,2021,2021-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22021,1.11,2,2021,2021-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22021,2.17,2,2021,2021-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22021,1.3,2,2021,2021-06-30
+PCAR,Paccar,Net Positivity,CQ22021,1.95,2,2021,2021-06-30
+RTX,RTX Corporation,Net Positivity,CQ22021,0.9,2,2021,2021-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22021,1.16,2,2021,2021-06-30
+ROP,Roper Technologies,Net Positivity,CQ22021,1.76,2,2021,2021-06-30
+SNA,Snap-on,Net Positivity,CQ22021,0.93,2,2021,2021-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22021,2.35,2,2021,2021-06-30
+UPS,United Parcel Service,Net Positivity,CQ22021,1.73,2,2021,2021-06-30
+WM,Waste Management,Net Positivity,CQ22021,1.63,2,2021,2021-06-30
+ACN,Accenture,Net Positivity,CQ22021,1.58,2,2021,2021-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22021,2.3,2,2021,2021-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22021,1.26,2,2021,2021-06-30
+APH,Amphenol,Net Positivity,CQ22021,1.22,2,2021,2021-06-30
+ADI,Analog Devices,Net Positivity,CQ22021,1.17,2,2021,2021-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22021,1.5,2,2021,2021-06-30
+AMAT,Applied Materials,Net Positivity,CQ22021,2.32,2,2021,2021-06-30
+ADSK,Autodesk,Net Positivity,CQ22021,1.8,2,2021,2021-06-30
+AVGO,Broadcom,Net Positivity,CQ22021,0.79,2,2021,2021-06-30
+CSCO,Cisco,Net Positivity,CQ22021,1.24,2,2021,2021-06-30
+CTSH,Cognizant,Net Positivity,CQ22021,0.57,2,2021,2021-06-30
+HPQ,HP Inc.,Net Positivity,CQ22021,1.76,2,2021,2021-06-30
+IBM,IBM,Net Positivity,CQ22021,1.65,2,2021,2021-06-30
+INTC,Intel,Net Positivity,CQ22021,2.02,2,2021,2021-06-30
+INTU,Intuit,Net Positivity,CQ22021,1.74,2,2021,2021-06-30
+LRCX,Lam Research,Net Positivity,CQ22021,1.76,2,2021,2021-06-30
+MU,Micron Technology,Net Positivity,CQ22021,1.08,2,2021,2021-06-30
+MSFT,Microsoft,Net Positivity,CQ22021,1.29,2,2021,2021-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22021,1.26,2,2021,2021-06-30
+NTAP,NetApp,Net Positivity,CQ22021,1.71,2,2021,2021-06-30
+NVDA,Nvidia,Net Positivity,CQ22021,1.51,2,2021,2021-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22021,1.01,2,2021,2021-06-30
+TXN,Texas Instruments,Net Positivity,CQ22021,1.36,2,2021,2021-06-30
+APD,Air Products,Net Positivity,CQ22021,0.6,2,2021,2021-06-30
+AVY,Avery Dennison,Net Positivity,CQ22021,1.28,2,2021,2021-06-30
+ECL,Ecolab,Net Positivity,CQ22021,1.55,2,2021,2021-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22021,1.69,2,2021,2021-06-30
+IP,International Paper,Net Positivity,CQ22021,0.85,2,2021,2021-06-30
+LIN,Linde plc,Net Positivity,CQ22021,1.25,2,2021,2021-06-30
+NEM,Newmont,Net Positivity,CQ22021,1.3,2,2021,2021-06-30
+NUE,Nucor,Net Positivity,CQ22021,1.56,2,2021,2021-06-30
+AMT,American Tower,Net Positivity,CQ22021,1.34,2,2021,2021-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22021,0.66,2,2021,2021-06-30
+EQR,Equity Residential,Net Positivity,CQ22021,0.84,2,2021,2021-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22021,0.89,2,2021,2021-06-30
+IRM,Iron Mountain,Net Positivity,CQ22021,1.74,2,2021,2021-06-30
+PLD,Prologis,Net Positivity,CQ22021,1.05,2,2021,2021-06-30
+VTR,Ventas,Net Positivity,CQ22021,1.49,2,2021,2021-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22021,1.35,2,2021,2021-06-30
+AES,AES Corporation,Net Positivity,CQ22021,1.46,2,2021,2021-06-30
+AEE,Ameren,Net Positivity,CQ22021,0.8,2,2021,2021-06-30
+AEP,American Electric Power,Net Positivity,CQ22021,0.73,2,2021,2021-06-30
+CMS,CMS Energy,Net Positivity,CQ22021,1.29,2,2021,2021-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22021,1.9,2,2021,2021-06-30
+DUK,Duke Energy,Net Positivity,CQ22021,1.46,2,2021,2021-06-30
+EIX,Edison International,Net Positivity,CQ22021,0.33,2,2021,2021-06-30
+ETR,Entergy,Net Positivity,CQ22021,1.18,2,2021,2021-06-30
+EXC,Exelon,Net Positivity,CQ22021,-0.3,2,2021,2021-06-30
+NEE,NextEra Energy,Net Positivity,CQ22021,1.68,2,2021,2021-06-30
+SO,Southern Company,Net Positivity,CQ22021,0.69,2,2021,2021-06-30
+XEL,Xcel Energy,Net Positivity,CQ22021,1.19,2,2021,2021-06-30
+T,AT&T,Numeric Transeprency,CQ22021,0.86,2,2021,2021-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22021,1.64,2,2021,2021-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22021,,2,2021,2021-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22021,1.35,2,2021,2021-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22021,0.93,2,2021,2021-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22021,3.71,2,2021,2021-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22021,3.23,2,2021,2021-06-30
+VZ,Verizon,Numeric Transeprency,CQ22021,1.88,2,2021,2021-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22021,1.44,2,2021,2021-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22021,2.02,2,2021,2021-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22021,1.88,2,2021,2021-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22021,1.47,2,2021,2021-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22021,2.16,2,2021,2021-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22021,1.95,2,2021,2021-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22021,1.96,2,2021,2021-06-30
+GM,General Motors,Numeric Transeprency,CQ22021,1.54,2,2021,2021-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22021,2.55,2,2021,2021-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22021,1.69,2,2021,2021-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22021,1.86,2,2021,2021-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22021,1.07,2,2021,2021-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22021,1.87,2,2021,2021-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22021,2.04,2,2021,2021-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22021,1.69,2,2021,2021-06-30
+TGT,Target,Numeric Transeprency,CQ22021,1.84,2,2021,2021-06-30
+MO,Altria,Numeric Transeprency,CQ22021,1.54,2,2021,2021-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22021,1.45,2,2021,2021-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22021,1.22,2,2021,2021-06-30
+CLX,Clorox,Numeric Transeprency,CQ22021,1.58,2,2021,2021-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22021,1.17,2,2021,2021-06-30
+COST,Costco,Numeric Transeprency,CQ22021,3.38,2,2021,2021-06-30
+GIS,General Mills,Numeric Transeprency,CQ22021,0.86,2,2021,2021-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22021,0.7,2,2021,2021-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22021,0.87,2,2021,2021-06-30
+KR,Kroger,Numeric Transeprency,CQ22021,1.97,2,2021,2021-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22021,,2,2021,2021-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22021,0.81,2,2021,2021-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22021,1.82,2,2021,2021-06-30
+SYY,Sysco,Numeric Transeprency,CQ22021,1.81,2,2021,2021-06-30
+WMT,Walmart,Numeric Transeprency,CQ22021,0.97,2,2021,2021-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22021,1.51,2,2021,2021-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22021,,2,2021,2021-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22021,2.6,2,2021,2021-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22021,1.79,2,2021,2021-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22021,1.79,2,2021,2021-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22021,1.31,2,2021,2021-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22021,1.78,2,2021,2021-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22021,1.69,2,2021,2021-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22021,2.27,2,2021,2021-06-30
+AFL,Aflac,Numeric Transeprency,CQ22021,2.06,2,2021,2021-06-30
+ALL,Allstate,Numeric Transeprency,CQ22021,1.89,2,2021,2021-06-30
+AXP,American Express,Numeric Transeprency,CQ22021,2.69,2,2021,2021-06-30
+AIG,American International Group,Numeric Transeprency,CQ22021,2.86,2,2021,2021-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22021,2.05,2,2021,2021-06-30
+AON,Aon plc,Numeric Transeprency,CQ22021,2.14,2,2021,2021-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22021,2.13,2,2021,2021-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22021,2.9,2,2021,2021-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22021,,2,2021,2021-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22021,1.89,2,2021,2021-06-30
+CME,CME Group,Numeric Transeprency,CQ22021,1.89,2,2021,2021-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22021,,2,2021,2021-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22021,2.01,2,2021,2021-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22021,3.44,2,2021,2021-06-30
+C,Citigroup,Numeric Transeprency,CQ22021,1.6,2,2021,2021-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22021,2.14,2,2021,2021-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22021,2.85,2,2021,2021-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22021,2.23,2,2021,2021-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22021,1.48,2,2021,2021-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22021,2.9,2,2021,2021-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22021,1.8,2,2021,2021-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22021,2.32,2,2021,2021-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22021,2.83,2,2021,2021-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22021,2.58,2,2021,2021-06-30
+MA,Mastercard,Numeric Transeprency,CQ22021,1.27,2,2021,2021-06-30
+MET,MetLife,Numeric Transeprency,CQ22021,3.08,2,2021,2021-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22021,2.16,2,2021,2021-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22021,2.95,2,2021,2021-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22021,2.51,2,2021,2021-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22021,2.55,2,2021,2021-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22021,1.64,2,2021,2021-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22021,2.39,2,2021,2021-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22021,2.49,2,2021,2021-06-30
+STT,State Street,Numeric Transeprency,CQ22021,2.12,2,2021,2021-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22021,,2,2021,2021-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22021,2.28,2,2021,2021-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22021,1.84,2,2021,2021-06-30
+V,Visa,Numeric Transeprency,CQ22021,3.37,2,2021,2021-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22021,1.98,2,2021,2021-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22021,1.75,2,2021,2021-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22021,1.97,2,2021,2021-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22021,1.65,2,2021,2021-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22021,1.86,2,2021,2021-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22021,2.09,2,2021,2021-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22021,2.2,2,2021,2021-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22021,2.6,2,2021,2021-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22021,4.1,2,2021,2021-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22021,1.48,2,2021,2021-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22021,1.9,2,2021,2021-06-30
+COR,Cencora,Numeric Transeprency,CQ22021,,2,2021,2021-06-30
+CI,Cigna,Numeric Transeprency,CQ22021,1.9,2,2021,2021-06-30
+DVA,DaVita,Numeric Transeprency,CQ22021,2.16,2,2021,2021-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22021,2.09,2,2021,2021-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22021,2.29,2,2021,2021-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22021,1.92,2,2021,2021-06-30
+HUM,Humana,Numeric Transeprency,CQ22021,1.39,2,2021,2021-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22021,2.83,2,2021,2021-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22021,2.72,2,2021,2021-06-30
+LH,Labcorp,Numeric Transeprency,CQ22021,2.54,2,2021,2021-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22021,2.78,2,2021,2021-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22021,1.93,2,2021,2021-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22021,1.25,2,2021,2021-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22021,2.45,2,2021,2021-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22021,2.72,2,2021,2021-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22021,2.01,2,2021,2021-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22021,1.12,2,2021,2021-06-30
+MMM,3M,Numeric Transeprency,CQ22021,2.38,2,2021,2021-06-30
+AME,Ametek,Numeric Transeprency,CQ22021,2.86,2,2021,2021-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22021,1.57,2,2021,2021-06-30
+BA,Boeing,Numeric Transeprency,CQ22021,1.84,2,2021,2021-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22021,1.27,2,2021,2021-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22021,2.35,2,2021,2021-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22021,,2,2021,2021-06-30
+CMI,Cummins,Numeric Transeprency,CQ22021,2.86,2,2021,2021-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22021,1.98,2,2021,2021-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22021,1.79,2,2021,2021-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22021,1.94,2,2021,2021-06-30
+EFX,Equifax,Numeric Transeprency,CQ22021,3.5,2,2021,2021-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22021,,2,2021,2021-06-30
+FDX,FedEx,Numeric Transeprency,CQ22021,2.0,2,2021,2021-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22021,2.59,2,2021,2021-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22021,2.6,2,2021,2021-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22021,3.05,2,2021,2021-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22021,1.82,2,2021,2021-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22021,1.83,2,2021,2021-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22021,2.47,2,2021,2021-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22021,1.38,2,2021,2021-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22021,2.74,2,2021,2021-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22021,2.27,2,2021,2021-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22021,1.89,2,2021,2021-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22021,3.77,2,2021,2021-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22021,3.03,2,2021,2021-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22021,2.41,2,2021,2021-06-30
+WM,Waste Management,Numeric Transeprency,CQ22021,2.06,2,2021,2021-06-30
+ACN,Accenture,Numeric Transeprency,CQ22021,2.86,2,2021,2021-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22021,1.41,2,2021,2021-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22021,2.7,2,2021,2021-06-30
+APH,Amphenol,Numeric Transeprency,CQ22021,1.85,2,2021,2021-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22021,2.01,2,2021,2021-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22021,2.07,2,2021,2021-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22021,2.48,2,2021,2021-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22021,1.54,2,2021,2021-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22021,3.01,2,2021,2021-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22021,1.72,2,2021,2021-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22021,1.81,2,2021,2021-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22021,2.02,2,2021,2021-06-30
+IBM,IBM,Numeric Transeprency,CQ22021,1.88,2,2021,2021-06-30
+INTC,Intel,Numeric Transeprency,CQ22021,1.91,2,2021,2021-06-30
+INTU,Intuit,Numeric Transeprency,CQ22021,1.78,2,2021,2021-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22021,1.62,2,2021,2021-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22021,1.55,2,2021,2021-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22021,3.02,2,2021,2021-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22021,2.68,2,2021,2021-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22021,2.43,2,2021,2021-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22021,1.52,2,2021,2021-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22021,3.28,2,2021,2021-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22021,2.38,2,2021,2021-06-30
+APD,Air Products,Numeric Transeprency,CQ22021,2.56,2,2021,2021-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22021,1.53,2,2021,2021-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22021,1.66,2,2021,2021-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22021,2.26,2,2021,2021-06-30
+IP,International Paper,Numeric Transeprency,CQ22021,1.48,2,2021,2021-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22021,1.65,2,2021,2021-06-30
+NEM,Newmont,Numeric Transeprency,CQ22021,2.25,2,2021,2021-06-30
+NUE,Nucor,Numeric Transeprency,CQ22021,1.86,2,2021,2021-06-30
+AMT,American Tower,Numeric Transeprency,CQ22021,1.95,2,2021,2021-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22021,2.43,2,2021,2021-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22021,1.45,2,2021,2021-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22021,2.5,2,2021,2021-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22021,2.52,2,2021,2021-06-30
+PLD,Prologis,Numeric Transeprency,CQ22021,2.64,2,2021,2021-06-30
+VTR,Ventas,Numeric Transeprency,CQ22021,2.24,2,2021,2021-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22021,2.03,2,2021,2021-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22021,2.85,2,2021,2021-06-30
+AEE,Ameren,Numeric Transeprency,CQ22021,2.42,2,2021,2021-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22021,2.19,2,2021,2021-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22021,2.31,2,2021,2021-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22021,2.01,2,2021,2021-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22021,2.23,2,2021,2021-06-30
+EIX,Edison International,Numeric Transeprency,CQ22021,2.43,2,2021,2021-06-30
+ETR,Entergy,Numeric Transeprency,CQ22021,1.2,2,2021,2021-06-30
+EXC,Exelon,Numeric Transeprency,CQ22021,1.71,2,2021,2021-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22021,2.51,2,2021,2021-06-30
+SO,Southern Company,Numeric Transeprency,CQ22021,2.22,2,2021,2021-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22021,2.16,2,2021,2021-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22021,16.67,2,2021,2021-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22021,,2,2021,2021-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22021,17.02,2,2021,2021-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22021,0.0,2,2021,2021-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22021,63.64,2,2021,2021-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22021,34.62,2,2021,2021-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22021,15.22,2,2021,2021-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22021,28.0,2,2021,2021-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22021,35.48,2,2021,2021-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22021,16.13,2,2021,2021-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22021,31.43,2,2021,2021-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22021,75.0,2,2021,2021-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22021,28.57,2,2021,2021-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22021,28.57,2,2021,2021-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22021,50.0,2,2021,2021-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22021,60.0,2,2021,2021-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22021,19.44,2,2021,2021-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22021,32.43,2,2021,2021-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22021,20.0,2,2021,2021-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22021,42.31,2,2021,2021-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22021,29.63,2,2021,2021-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22021,20.69,2,2021,2021-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22021,58.82,2,2021,2021-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22021,71.43,2,2021,2021-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22021,26.67,2,2021,2021-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22021,50.0,2,2021,2021-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22021,52.0,2,2021,2021-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22021,55.0,2,2021,2021-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22021,42.11,2,2021,2021-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22021,43.75,2,2021,2021-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22021,20.69,2,2021,2021-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22021,,2,2021,2021-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22021,57.14,2,2021,2021-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22021,59.09,2,2021,2021-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22021,64.29,2,2021,2021-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22021,37.84,2,2021,2021-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22021,32.0,2,2021,2021-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22021,,2,2021,2021-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22021,13.64,2,2021,2021-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22021,31.03,2,2021,2021-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22021,24.0,2,2021,2021-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22021,30.77,2,2021,2021-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22021,26.92,2,2021,2021-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22021,47.37,2,2021,2021-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22021,41.67,2,2021,2021-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22021,27.78,2,2021,2021-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22021,40.74,2,2021,2021-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22021,26.32,2,2021,2021-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22021,42.86,2,2021,2021-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22021,47.37,2,2021,2021-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22021,32.0,2,2021,2021-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22021,,2,2021,2021-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22021,35.29,2,2021,2021-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22021,61.9,2,2021,2021-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22021,,2,2021,2021-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22021,30.0,2,2021,2021-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22021,20.0,2,2021,2021-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22021,43.48,2,2021,2021-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22021,30.56,2,2021,2021-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22021,36.36,2,2021,2021-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22021,25.81,2,2021,2021-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22021,48.0,2,2021,2021-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22021,58.82,2,2021,2021-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22021,35.0,2,2021,2021-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22021,58.82,2,2021,2021-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22021,35.71,2,2021,2021-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22021,42.86,2,2021,2021-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22021,20.51,2,2021,2021-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22021,30.77,2,2021,2021-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22021,60.0,2,2021,2021-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22021,72.22,2,2021,2021-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22021,38.89,2,2021,2021-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22021,53.33,2,2021,2021-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22021,46.15,2,2021,2021-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22021,62.5,2,2021,2021-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22021,57.89,2,2021,2021-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22021,,2,2021,2021-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22021,42.86,2,2021,2021-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22021,42.31,2,2021,2021-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22021,18.92,2,2021,2021-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22021,40.0,2,2021,2021-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22021,47.62,2,2021,2021-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22021,31.82,2,2021,2021-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22021,47.06,2,2021,2021-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22021,53.57,2,2021,2021-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22021,38.89,2,2021,2021-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22021,47.06,2,2021,2021-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22021,30.0,2,2021,2021-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22021,36.0,2,2021,2021-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22021,66.67,2,2021,2021-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22021,29.63,2,2021,2021-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22021,,2,2021,2021-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22021,52.17,2,2021,2021-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22021,31.58,2,2021,2021-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22021,64.71,2,2021,2021-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22021,50.0,2,2021,2021-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22021,30.0,2,2021,2021-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22021,47.37,2,2021,2021-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22021,31.25,2,2021,2021-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22021,58.82,2,2021,2021-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22021,40.74,2,2021,2021-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22021,27.27,2,2021,2021-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22021,42.86,2,2021,2021-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22021,21.43,2,2021,2021-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22021,50.0,2,2021,2021-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22021,53.33,2,2021,2021-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22021,42.86,2,2021,2021-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22021,40.91,2,2021,2021-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22021,65.38,2,2021,2021-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22021,50.0,2,2021,2021-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22021,,2,2021,2021-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22021,59.09,2,2021,2021-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22021,47.62,2,2021,2021-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22021,45.83,2,2021,2021-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22021,70.0,2,2021,2021-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22021,,2,2021,2021-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22021,55.17,2,2021,2021-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22021,42.11,2,2021,2021-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22021,47.62,2,2021,2021-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22021,27.27,2,2021,2021-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22021,61.11,2,2021,2021-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22021,57.89,2,2021,2021-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22021,55.56,2,2021,2021-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22021,61.54,2,2021,2021-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22021,66.67,2,2021,2021-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22021,36.84,2,2021,2021-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22021,59.26,2,2021,2021-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22021,64.71,2,2021,2021-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22021,18.52,2,2021,2021-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22021,42.31,2,2021,2021-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22021,37.5,2,2021,2021-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22021,62.5,2,2021,2021-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22021,40.91,2,2021,2021-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22021,24.32,2,2021,2021-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22021,44.44,2,2021,2021-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22021,28.0,2,2021,2021-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22021,30.0,2,2021,2021-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22021,40.74,2,2021,2021-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22021,14.29,2,2021,2021-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22021,47.06,2,2021,2021-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22021,46.67,2,2021,2021-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22021,26.19,2,2021,2021-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22021,66.67,2,2021,2021-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22021,45.83,2,2021,2021-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22021,17.24,2,2021,2021-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22021,17.5,2,2021,2021-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22021,64.29,2,2021,2021-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22021,56.0,2,2021,2021-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22021,13.33,2,2021,2021-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22021,19.23,2,2021,2021-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22021,24.14,2,2021,2021-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22021,50.0,2,2021,2021-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22021,66.67,2,2021,2021-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22021,61.9,2,2021,2021-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22021,62.5,2,2021,2021-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22021,60.0,2,2021,2021-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22021,47.37,2,2021,2021-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22021,31.58,2,2021,2021-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22021,63.64,2,2021,2021-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22021,53.85,2,2021,2021-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22021,40.0,2,2021,2021-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22021,58.33,2,2021,2021-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22021,50.0,2,2021,2021-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22021,71.43,2,2021,2021-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22021,54.55,2,2021,2021-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22021,70.0,2,2021,2021-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22021,40.0,2,2021,2021-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22021,42.86,2,2021,2021-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22021,42.11,2,2021,2021-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22021,30.0,2,2021,2021-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22021,46.67,2,2021,2021-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22021,38.89,2,2021,2021-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22021,17.65,2,2021,2021-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22021,35.29,2,2021,2021-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22021,33.33,2,2021,2021-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22021,20.0,2,2021,2021-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22021,42.11,2,2021,2021-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22021,37.5,2,2021,2021-06-30
+T,AT&T,Language Complexity,CQ22021,11.59,2,2021,2021-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22021,12.53,2,2021,2021-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22021,,2,2021,2021-06-30
+META,Meta Platforms,Language Complexity,CQ22021,11.91,2,2021,2021-06-30
+NFLX,Netflix,Language Complexity,CQ22021,10.85,2,2021,2021-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22021,15.3,2,2021,2021-06-30
+OMC,Omnicom Group,Language Complexity,CQ22021,14.58,2,2021,2021-06-30
+VZ,Verizon,Language Complexity,CQ22021,11.96,2,2021,2021-06-30
+AMZN,Amazon,Language Complexity,CQ22021,12.62,2,2021,2021-06-30
+AZO,AutoZone,Language Complexity,CQ22021,12.18,2,2021,2021-06-30
+BBY,Best Buy,Language Complexity,CQ22021,13.7,2,2021,2021-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22021,12.52,2,2021,2021-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22021,12.61,2,2021,2021-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22021,11.24,2,2021,2021-06-30
+F,Ford Motor Company,Language Complexity,CQ22021,12.17,2,2021,2021-06-30
+GM,General Motors,Language Complexity,CQ22021,13.47,2,2021,2021-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22021,12.59,2,2021,2021-06-30
+HAS,Hasbro,Language Complexity,CQ22021,11.82,2,2021,2021-06-30
+LOW,Lowe's,Language Complexity,CQ22021,13.72,2,2021,2021-06-30
+MCD,McDonald's,Language Complexity,CQ22021,12.9,2,2021,2021-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22021,13.88,2,2021,2021-06-30
+ROST,Ross Stores,Language Complexity,CQ22021,10.66,2,2021,2021-06-30
+TJX,TJX Companies,Language Complexity,CQ22021,11.8,2,2021,2021-06-30
+TGT,Target,Language Complexity,CQ22021,13.23,2,2021,2021-06-30
+MO,Altria,Language Complexity,CQ22021,12.19,2,2021,2021-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22021,12.15,2,2021,2021-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22021,12.83,2,2021,2021-06-30
+CLX,Clorox,Language Complexity,CQ22021,12.23,2,2021,2021-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22021,13.71,2,2021,2021-06-30
+COST,Costco,Language Complexity,CQ22021,10.53,2,2021,2021-06-30
+GIS,General Mills,Language Complexity,CQ22021,10.58,2,2021,2021-06-30
+HSY,Hershey Company,Language Complexity,CQ22021,11.45,2,2021,2021-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22021,10.49,2,2021,2021-06-30
+KR,Kroger,Language Complexity,CQ22021,13.21,2,2021,2021-06-30
+MKC,McCormick & Company,Language Complexity,CQ22021,,2,2021,2021-06-30
+PEP,PepsiCo,Language Complexity,CQ22021,11.27,2,2021,2021-06-30
+PG,Procter & Gamble,Language Complexity,CQ22021,12.45,2,2021,2021-06-30
+SYY,Sysco,Language Complexity,CQ22021,12.26,2,2021,2021-06-30
+WMT,Walmart,Language Complexity,CQ22021,12.54,2,2021,2021-06-30
+APA,APA Corporation,Language Complexity,CQ22021,11.5,2,2021,2021-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22021,,2,2021,2021-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22021,12.21,2,2021,2021-06-30
+EOG,EOG Resources,Language Complexity,CQ22021,12.04,2,2021,2021-06-30
+XOM,ExxonMobil,Language Complexity,CQ22021,13.96,2,2021,2021-06-30
+HAL,Halliburton,Language Complexity,CQ22021,13.42,2,2021,2021-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22021,12.78,2,2021,2021-06-30
+SLB,Schlumberger,Language Complexity,CQ22021,15.35,2,2021,2021-06-30
+VLO,Valero Energy,Language Complexity,CQ22021,10.75,2,2021,2021-06-30
+AFL,Aflac,Language Complexity,CQ22021,13.77,2,2021,2021-06-30
+ALL,Allstate,Language Complexity,CQ22021,11.94,2,2021,2021-06-30
+AXP,American Express,Language Complexity,CQ22021,12.84,2,2021,2021-06-30
+AIG,American International Group,Language Complexity,CQ22021,14.61,2,2021,2021-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22021,11.81,2,2021,2021-06-30
+AON,Aon plc,Language Complexity,CQ22021,12.73,2,2021,2021-06-30
+BK,BNY Mellon,Language Complexity,CQ22021,11.86,2,2021,2021-06-30
+BAC,Bank of America,Language Complexity,CQ22021,11.6,2,2021,2021-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22021,,2,2021,2021-06-30
+BLK,BlackRock,Language Complexity,CQ22021,16.12,2,2021,2021-06-30
+CME,CME Group,Language Complexity,CQ22021,10.31,2,2021,2021-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22021,,2,2021,2021-06-30
+CB,Chubb Limited,Language Complexity,CQ22021,10.57,2,2021,2021-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22021,13.2,2,2021,2021-06-30
+C,Citigroup,Language Complexity,CQ22021,12.37,2,2021,2021-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22021,11.99,2,2021,2021-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22021,13.11,2,2021,2021-06-30
+FISV,Fiserv,Language Complexity,CQ22021,12.77,2,2021,2021-06-30
+GS,Goldman Sachs,Language Complexity,CQ22021,13.56,2,2021,2021-06-30
+HIG,Hartford Financial,Language Complexity,CQ22021,12.29,2,2021,2021-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22021,13.69,2,2021,2021-06-30
+IVZ,Invesco,Language Complexity,CQ22021,11.56,2,2021,2021-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22021,10.75,2,2021,2021-06-30
+KEY,KeyCorp,Language Complexity,CQ22021,12.1,2,2021,2021-06-30
+MA,Mastercard,Language Complexity,CQ22021,12.43,2,2021,2021-06-30
+MET,MetLife,Language Complexity,CQ22021,12.22,2,2021,2021-06-30
+MS,Morgan Stanley,Language Complexity,CQ22021,11.85,2,2021,2021-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22021,13.82,2,2021,2021-06-30
+NTRS,Northern Trust,Language Complexity,CQ22021,12.01,2,2021,2021-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22021,10.75,2,2021,2021-06-30
+PRU,Prudential Financial,Language Complexity,CQ22021,12.44,2,2021,2021-06-30
+RF,Regions Financial,Language Complexity,CQ22021,11.68,2,2021,2021-06-30
+SPGI,S&P Global,Language Complexity,CQ22021,12.61,2,2021,2021-06-30
+STT,State Street,Language Complexity,CQ22021,11.91,2,2021,2021-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22021,,2,2021,2021-06-30
+TRV,Travelers Companies,Language Complexity,CQ22021,12.74,2,2021,2021-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22021,11.39,2,2021,2021-06-30
+V,Visa,Language Complexity,CQ22021,13.2,2,2021,2021-06-30
+WFC,Wells Fargo,Language Complexity,CQ22021,12.57,2,2021,2021-06-30
+ABBV,AbbVie,Language Complexity,CQ22021,12.73,2,2021,2021-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22021,11.03,2,2021,2021-06-30
+A,Agilent Technologies,Language Complexity,CQ22021,10.64,2,2021,2021-06-30
+AMGN,Amgen,Language Complexity,CQ22021,12.81,2,2021,2021-06-30
+BAX,Baxter International,Language Complexity,CQ22021,12.29,2,2021,2021-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22021,12.79,2,2021,2021-06-30
+BIIB,Biogen,Language Complexity,CQ22021,13.28,2,2021,2021-06-30
+BSX,Boston Scientific,Language Complexity,CQ22021,12.18,2,2021,2021-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22021,12.15,2,2021,2021-06-30
+CVS,CVS Health,Language Complexity,CQ22021,13.57,2,2021,2021-06-30
+COR,Cencora,Language Complexity,CQ22021,,2,2021,2021-06-30
+CI,Cigna,Language Complexity,CQ22021,15.75,2,2021,2021-06-30
+DVA,DaVita,Language Complexity,CQ22021,11.26,2,2021,2021-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22021,12.3,2,2021,2021-06-30
+LLY,Eli Lilly,Language Complexity,CQ22021,13.21,2,2021,2021-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22021,12.42,2,2021,2021-06-30
+HUM,Humana,Language Complexity,CQ22021,13.29,2,2021,2021-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22021,13.16,2,2021,2021-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22021,14.08,2,2021,2021-06-30
+LH,Labcorp,Language Complexity,CQ22021,11.41,2,2021,2021-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22021,13.99,2,2021,2021-06-30
+MDT,Medtronic,Language Complexity,CQ22021,12.08,2,2021,2021-06-30
+MRK,Merck & Co.,Language Complexity,CQ22021,14.18,2,2021,2021-06-30
+PFE,Pfizer,Language Complexity,CQ22021,13.98,2,2021,2021-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22021,12.93,2,2021,2021-06-30
+WAT,Waters Corporation,Language Complexity,CQ22021,12.19,2,2021,2021-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22021,11.29,2,2021,2021-06-30
+MMM,3M,Language Complexity,CQ22021,12.36,2,2021,2021-06-30
+AME,Ametek,Language Complexity,CQ22021,12.31,2,2021,2021-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22021,11.91,2,2021,2021-06-30
+BA,Boeing,Language Complexity,CQ22021,12.67,2,2021,2021-06-30
+CSX,CSX Corporation,Language Complexity,CQ22021,11.74,2,2021,2021-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22021,12.3,2,2021,2021-06-30
+CTAS,Cintas,Language Complexity,CQ22021,,2,2021,2021-06-30
+CMI,Cummins,Language Complexity,CQ22021,12.34,2,2021,2021-06-30
+DE,Deere & Company,Language Complexity,CQ22021,12.34,2,2021,2021-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22021,11.8,2,2021,2021-06-30
+EMR,Emerson Electric,Language Complexity,CQ22021,11.33,2,2021,2021-06-30
+EFX,Equifax,Language Complexity,CQ22021,12.79,2,2021,2021-06-30
+EXPD,Expeditors International,Language Complexity,CQ22021,,2,2021,2021-06-30
+FDX,FedEx,Language Complexity,CQ22021,13.7,2,2021,2021-06-30
+GE,GE Aerospace,Language Complexity,CQ22021,12.2,2,2021,2021-06-30
+GD,General Dynamics,Language Complexity,CQ22021,11.55,2,2021,2021-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22021,11.65,2,2021,2021-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22021,12.67,2,2021,2021-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22021,11.7,2,2021,2021-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22021,13.37,2,2021,2021-06-30
+PCAR,Paccar,Language Complexity,CQ22021,10.85,2,2021,2021-06-30
+RTX,RTX Corporation,Language Complexity,CQ22021,11.11,2,2021,2021-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22021,12.16,2,2021,2021-06-30
+ROP,Roper Technologies,Language Complexity,CQ22021,11.19,2,2021,2021-06-30
+SNA,Snap-on,Language Complexity,CQ22021,11.33,2,2021,2021-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22021,13.59,2,2021,2021-06-30
+UPS,United Parcel Service,Language Complexity,CQ22021,11.12,2,2021,2021-06-30
+WM,Waste Management,Language Complexity,CQ22021,12.08,2,2021,2021-06-30
+ACN,Accenture,Language Complexity,CQ22021,13.44,2,2021,2021-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22021,14.72,2,2021,2021-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22021,11.19,2,2021,2021-06-30
+APH,Amphenol,Language Complexity,CQ22021,14.65,2,2021,2021-06-30
+ADI,Analog Devices,Language Complexity,CQ22021,11.9,2,2021,2021-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22021,11.69,2,2021,2021-06-30
+AMAT,Applied Materials,Language Complexity,CQ22021,12.58,2,2021,2021-06-30
+ADSK,Autodesk,Language Complexity,CQ22021,13.39,2,2021,2021-06-30
+AVGO,Broadcom,Language Complexity,CQ22021,11.22,2,2021,2021-06-30
+CSCO,Cisco,Language Complexity,CQ22021,11.79,2,2021,2021-06-30
+CTSH,Cognizant,Language Complexity,CQ22021,14.18,2,2021,2021-06-30
+HPQ,HP Inc.,Language Complexity,CQ22021,12.41,2,2021,2021-06-30
+IBM,IBM,Language Complexity,CQ22021,11.98,2,2021,2021-06-30
+INTC,Intel,Language Complexity,CQ22021,12.14,2,2021,2021-06-30
+INTU,Intuit,Language Complexity,CQ22021,11.83,2,2021,2021-06-30
+LRCX,Lam Research,Language Complexity,CQ22021,12.25,2,2021,2021-06-30
+MU,Micron Technology,Language Complexity,CQ22021,10.52,2,2021,2021-06-30
+MSFT,Microsoft,Language Complexity,CQ22021,14.32,2,2021,2021-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22021,11.08,2,2021,2021-06-30
+NTAP,NetApp,Language Complexity,CQ22021,11.75,2,2021,2021-06-30
+NVDA,Nvidia,Language Complexity,CQ22021,12.44,2,2021,2021-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22021,12.95,2,2021,2021-06-30
+TXN,Texas Instruments,Language Complexity,CQ22021,10.43,2,2021,2021-06-30
+APD,Air Products,Language Complexity,CQ22021,11.5,2,2021,2021-06-30
+AVY,Avery Dennison,Language Complexity,CQ22021,12.5,2,2021,2021-06-30
+ECL,Ecolab,Language Complexity,CQ22021,11.14,2,2021,2021-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22021,12.6,2,2021,2021-06-30
+IP,International Paper,Language Complexity,CQ22021,11.93,2,2021,2021-06-30
+LIN,Linde plc,Language Complexity,CQ22021,11.9,2,2021,2021-06-30
+NEM,Newmont,Language Complexity,CQ22021,13.62,2,2021,2021-06-30
+NUE,Nucor,Language Complexity,CQ22021,11.45,2,2021,2021-06-30
+AMT,American Tower,Language Complexity,CQ22021,13.74,2,2021,2021-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22021,11.8,2,2021,2021-06-30
+EQR,Equity Residential,Language Complexity,CQ22021,11.12,2,2021,2021-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22021,11.17,2,2021,2021-06-30
+IRM,Iron Mountain,Language Complexity,CQ22021,14.06,2,2021,2021-06-30
+PLD,Prologis,Language Complexity,CQ22021,10.9,2,2021,2021-06-30
+VTR,Ventas,Language Complexity,CQ22021,11.77,2,2021,2021-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22021,12.38,2,2021,2021-06-30
+AES,AES Corporation,Language Complexity,CQ22021,12.12,2,2021,2021-06-30
+AEE,Ameren,Language Complexity,CQ22021,13.64,2,2021,2021-06-30
+AEP,American Electric Power,Language Complexity,CQ22021,12.95,2,2021,2021-06-30
+CMS,CMS Energy,Language Complexity,CQ22021,12.04,2,2021,2021-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22021,13.22,2,2021,2021-06-30
+DUK,Duke Energy,Language Complexity,CQ22021,13.56,2,2021,2021-06-30
+EIX,Edison International,Language Complexity,CQ22021,13.22,2,2021,2021-06-30
+ETR,Entergy,Language Complexity,CQ22021,12.78,2,2021,2021-06-30
+EXC,Exelon,Language Complexity,CQ22021,12.36,2,2021,2021-06-30
+NEE,NextEra Energy,Language Complexity,CQ22021,15.84,2,2021,2021-06-30
+SO,Southern Company,Language Complexity,CQ22021,11.22,2,2021,2021-06-30
+XEL,Xcel Energy,Language Complexity,CQ22021,12.55,2,2021,2021-06-30
+T,AT&T,Net Positivity,CQ32021,1.32,3,2021,2021-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32021,1.7,3,2021,2021-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32021,,3,2021,2021-09-30
+META,Meta Platforms,Net Positivity,CQ32021,1.61,3,2021,2021-09-30
+NFLX,Netflix,Net Positivity,CQ32021,1.35,3,2021,2021-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32021,1.9,3,2021,2021-09-30
+OMC,Omnicom Group,Net Positivity,CQ32021,1.39,3,2021,2021-09-30
+VZ,Verizon,Net Positivity,CQ32021,1.97,3,2021,2021-09-30
+AMZN,Amazon,Net Positivity,CQ32021,1.1,3,2021,2021-09-30
+AZO,AutoZone,Net Positivity,CQ32021,1.69,3,2021,2021-09-30
+BBY,Best Buy,Net Positivity,CQ32021,1.08,3,2021,2021-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32021,1.5,3,2021,2021-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32021,2.14,3,2021,2021-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32021,1.09,3,2021,2021-09-30
+F,Ford Motor Company,Net Positivity,CQ32021,1.19,3,2021,2021-09-30
+GM,General Motors,Net Positivity,CQ32021,0.81,3,2021,2021-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32021,2.36,3,2021,2021-09-30
+HAS,Hasbro,Net Positivity,CQ32021,1.62,3,2021,2021-09-30
+LOW,Lowe's,Net Positivity,CQ32021,1.76,3,2021,2021-09-30
+MCD,McDonald's,Net Positivity,CQ32021,1.91,3,2021,2021-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32021,1.69,3,2021,2021-09-30
+ROST,Ross Stores,Net Positivity,CQ32021,0.22,3,2021,2021-09-30
+TJX,TJX Companies,Net Positivity,CQ32021,1.78,3,2021,2021-09-30
+TGT,Target,Net Positivity,CQ32021,1.73,3,2021,2021-09-30
+MO,Altria,Net Positivity,CQ32021,0.67,3,2021,2021-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32021,1.82,3,2021,2021-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32021,0.44,3,2021,2021-09-30
+CLX,Clorox,Net Positivity,CQ32021,1.25,3,2021,2021-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32021,2.07,3,2021,2021-09-30
+COST,Costco,Net Positivity,CQ32021,1.04,3,2021,2021-09-30
+GIS,General Mills,Net Positivity,CQ32021,0.54,3,2021,2021-09-30
+HSY,Hershey Company,Net Positivity,CQ32021,0.39,3,2021,2021-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32021,0.71,3,2021,2021-09-30
+KR,Kroger,Net Positivity,CQ32021,1.56,3,2021,2021-09-30
+MKC,McCormick & Company,Net Positivity,CQ32021,0.73,3,2021,2021-09-30
+PEP,PepsiCo,Net Positivity,CQ32021,2.01,3,2021,2021-09-30
+PG,Procter & Gamble,Net Positivity,CQ32021,2.05,3,2021,2021-09-30
+SYY,Sysco,Net Positivity,CQ32021,1.19,3,2021,2021-09-30
+WMT,Walmart,Net Positivity,CQ32021,2.05,3,2021,2021-09-30
+APA,APA Corporation,Net Positivity,CQ32021,0.88,3,2021,2021-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32021,,3,2021,2021-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32021,1.4,3,2021,2021-09-30
+EOG,EOG Resources,Net Positivity,CQ32021,1.65,3,2021,2021-09-30
+XOM,ExxonMobil,Net Positivity,CQ32021,1.84,3,2021,2021-09-30
+HAL,Halliburton,Net Positivity,CQ32021,1.14,3,2021,2021-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32021,1.83,3,2021,2021-09-30
+SLB,Schlumberger,Net Positivity,CQ32021,1.73,3,2021,2021-09-30
+VLO,Valero Energy,Net Positivity,CQ32021,0.61,3,2021,2021-09-30
+AFL,Aflac,Net Positivity,CQ32021,1.36,3,2021,2021-09-30
+ALL,Allstate,Net Positivity,CQ32021,1.1,3,2021,2021-09-30
+AXP,American Express,Net Positivity,CQ32021,1.04,3,2021,2021-09-30
+AIG,American International Group,Net Positivity,CQ32021,1.03,3,2021,2021-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32021,1.54,3,2021,2021-09-30
+AON,Aon plc,Net Positivity,CQ32021,1.65,3,2021,2021-09-30
+BK,BNY Mellon,Net Positivity,CQ32021,1.39,3,2021,2021-09-30
+BAC,Bank of America,Net Positivity,CQ32021,0.82,3,2021,2021-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32021,,3,2021,2021-09-30
+BLK,BlackRock,Net Positivity,CQ32021,1.31,3,2021,2021-09-30
+CME,CME Group,Net Positivity,CQ32021,1.16,3,2021,2021-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32021,,3,2021,2021-09-30
+CB,Chubb Limited,Net Positivity,CQ32021,0.32,3,2021,2021-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32021,0.24,3,2021,2021-09-30
+C,Citigroup,Net Positivity,CQ32021,1.06,3,2021,2021-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32021,1.77,3,2021,2021-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32021,1.26,3,2021,2021-09-30
+FISV,Fiserv,Net Positivity,CQ32021,1.77,3,2021,2021-09-30
+GS,Goldman Sachs,Net Positivity,CQ32021,1.37,3,2021,2021-09-30
+HIG,Hartford Financial,Net Positivity,CQ32021,1.26,3,2021,2021-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32021,0.91,3,2021,2021-09-30
+IVZ,Invesco,Net Positivity,CQ32021,1.43,3,2021,2021-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32021,0.43,3,2021,2021-09-30
+KEY,KeyCorp,Net Positivity,CQ32021,1.06,3,2021,2021-09-30
+MA,Mastercard,Net Positivity,CQ32021,1.24,3,2021,2021-09-30
+MET,MetLife,Net Positivity,CQ32021,0.81,3,2021,2021-09-30
+MS,Morgan Stanley,Net Positivity,CQ32021,0.72,3,2021,2021-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32021,1.36,3,2021,2021-09-30
+NTRS,Northern Trust,Net Positivity,CQ32021,0.59,3,2021,2021-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32021,1.03,3,2021,2021-09-30
+PRU,Prudential Financial,Net Positivity,CQ32021,1.65,3,2021,2021-09-30
+RF,Regions Financial,Net Positivity,CQ32021,1.45,3,2021,2021-09-30
+SPGI,S&P Global,Net Positivity,CQ32021,1.38,3,2021,2021-09-30
+STT,State Street,Net Positivity,CQ32021,1.13,3,2021,2021-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32021,,3,2021,2021-09-30
+TRV,Travelers Companies,Net Positivity,CQ32021,0.57,3,2021,2021-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32021,1.12,3,2021,2021-09-30
+V,Visa,Net Positivity,CQ32021,1.57,3,2021,2021-09-30
+WFC,Wells Fargo,Net Positivity,CQ32021,0.77,3,2021,2021-09-30
+ABBV,AbbVie,Net Positivity,CQ32021,1.44,3,2021,2021-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32021,1.45,3,2021,2021-09-30
+A,Agilent Technologies,Net Positivity,CQ32021,1.49,3,2021,2021-09-30
+AMGN,Amgen,Net Positivity,CQ32021,1.09,3,2021,2021-09-30
+BAX,Baxter International,Net Positivity,CQ32021,0.75,3,2021,2021-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32021,1.51,3,2021,2021-09-30
+BIIB,Biogen,Net Positivity,CQ32021,0.28,3,2021,2021-09-30
+BSX,Boston Scientific,Net Positivity,CQ32021,1.16,3,2021,2021-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32021,2.12,3,2021,2021-09-30
+CVS,CVS Health,Net Positivity,CQ32021,1.47,3,2021,2021-09-30
+COR,Cencora,Net Positivity,CQ32021,,3,2021,2021-09-30
+CI,Cigna,Net Positivity,CQ32021,1.06,3,2021,2021-09-30
+DVA,DaVita,Net Positivity,CQ32021,1.04,3,2021,2021-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32021,1.08,3,2021,2021-09-30
+LLY,Eli Lilly,Net Positivity,CQ32021,1.22,3,2021,2021-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32021,0.91,3,2021,2021-09-30
+HUM,Humana,Net Positivity,CQ32021,0.54,3,2021,2021-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32021,0.63,3,2021,2021-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32021,1.98,3,2021,2021-09-30
+LH,Labcorp,Net Positivity,CQ32021,1.29,3,2021,2021-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32021,1.4,3,2021,2021-09-30
+MDT,Medtronic,Net Positivity,CQ32021,1.64,3,2021,2021-09-30
+MRK,Merck & Co.,Net Positivity,CQ32021,2.12,3,2021,2021-09-30
+PFE,Pfizer,Net Positivity,CQ32021,0.66,3,2021,2021-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32021,2.23,3,2021,2021-09-30
+WAT,Waters Corporation,Net Positivity,CQ32021,2.09,3,2021,2021-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32021,1.83,3,2021,2021-09-30
+MMM,3M,Net Positivity,CQ32021,0.93,3,2021,2021-09-30
+AME,Ametek,Net Positivity,CQ32021,1.62,3,2021,2021-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32021,1.35,3,2021,2021-09-30
+BA,Boeing,Net Positivity,CQ32021,1.57,3,2021,2021-09-30
+CSX,CSX Corporation,Net Positivity,CQ32021,1.17,3,2021,2021-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32021,1.94,3,2021,2021-09-30
+CTAS,Cintas,Net Positivity,CQ32021,1.5,3,2021,2021-09-30
+CMI,Cummins,Net Positivity,CQ32021,1.47,3,2021,2021-09-30
+DE,Deere & Company,Net Positivity,CQ32021,1.15,3,2021,2021-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32021,1.0,3,2021,2021-09-30
+EMR,Emerson Electric,Net Positivity,CQ32021,0.97,3,2021,2021-09-30
+EFX,Equifax,Net Positivity,CQ32021,0.99,3,2021,2021-09-30
+EXPD,Expeditors International,Net Positivity,CQ32021,,3,2021,2021-09-30
+FDX,FedEx,Net Positivity,CQ32021,1.12,3,2021,2021-09-30
+GE,GE Aerospace,Net Positivity,CQ32021,1.76,3,2021,2021-09-30
+GD,General Dynamics,Net Positivity,CQ32021,0.63,3,2021,2021-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32021,0.56,3,2021,2021-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32021,0.8,3,2021,2021-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32021,1.46,3,2021,2021-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32021,1.59,3,2021,2021-09-30
+PCAR,Paccar,Net Positivity,CQ32021,2.01,3,2021,2021-09-30
+RTX,RTX Corporation,Net Positivity,CQ32021,1.15,3,2021,2021-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32021,1.24,3,2021,2021-09-30
+ROP,Roper Technologies,Net Positivity,CQ32021,1.58,3,2021,2021-09-30
+SNA,Snap-on,Net Positivity,CQ32021,1.4,3,2021,2021-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32021,2.23,3,2021,2021-09-30
+UPS,United Parcel Service,Net Positivity,CQ32021,1.31,3,2021,2021-09-30
+WM,Waste Management,Net Positivity,CQ32021,1.35,3,2021,2021-09-30
+ACN,Accenture,Net Positivity,CQ32021,1.49,3,2021,2021-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32021,2.13,3,2021,2021-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32021,0.09,3,2021,2021-09-30
+APH,Amphenol,Net Positivity,CQ32021,1.08,3,2021,2021-09-30
+ADI,Analog Devices,Net Positivity,CQ32021,1.33,3,2021,2021-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32021,2.12,3,2021,2021-09-30
+AMAT,Applied Materials,Net Positivity,CQ32021,2.46,3,2021,2021-09-30
+ADSK,Autodesk,Net Positivity,CQ32021,1.49,3,2021,2021-09-30
+AVGO,Broadcom,Net Positivity,CQ32021,0.42,3,2021,2021-09-30
+CSCO,Cisco,Net Positivity,CQ32021,1.46,3,2021,2021-09-30
+CTSH,Cognizant,Net Positivity,CQ32021,1.29,3,2021,2021-09-30
+HPQ,HP Inc.,Net Positivity,CQ32021,1.47,3,2021,2021-09-30
+IBM,IBM,Net Positivity,CQ32021,1.39,3,2021,2021-09-30
+INTC,Intel,Net Positivity,CQ32021,1.85,3,2021,2021-09-30
+INTU,Intuit,Net Positivity,CQ32021,1.95,3,2021,2021-09-30
+LRCX,Lam Research,Net Positivity,CQ32021,1.14,3,2021,2021-09-30
+MU,Micron Technology,Net Positivity,CQ32021,0.75,3,2021,2021-09-30
+MSFT,Microsoft,Net Positivity,CQ32021,1.42,3,2021,2021-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32021,1.53,3,2021,2021-09-30
+NTAP,NetApp,Net Positivity,CQ32021,1.61,3,2021,2021-09-30
+NVDA,Nvidia,Net Positivity,CQ32021,1.37,3,2021,2021-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32021,0.76,3,2021,2021-09-30
+TXN,Texas Instruments,Net Positivity,CQ32021,0.92,3,2021,2021-09-30
+APD,Air Products,Net Positivity,CQ32021,1.68,3,2021,2021-09-30
+AVY,Avery Dennison,Net Positivity,CQ32021,1.36,3,2021,2021-09-30
+ECL,Ecolab,Net Positivity,CQ32021,1.96,3,2021,2021-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32021,1.96,3,2021,2021-09-30
+IP,International Paper,Net Positivity,CQ32021,0.85,3,2021,2021-09-30
+LIN,Linde plc,Net Positivity,CQ32021,1.31,3,2021,2021-09-30
+NEM,Newmont,Net Positivity,CQ32021,0.74,3,2021,2021-09-30
+NUE,Nucor,Net Positivity,CQ32021,2.08,3,2021,2021-09-30
+AMT,American Tower,Net Positivity,CQ32021,1.18,3,2021,2021-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32021,0.74,3,2021,2021-09-30
+EQR,Equity Residential,Net Positivity,CQ32021,0.82,3,2021,2021-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32021,1.06,3,2021,2021-09-30
+IRM,Iron Mountain,Net Positivity,CQ32021,1.5,3,2021,2021-09-30
+PLD,Prologis,Net Positivity,CQ32021,0.64,3,2021,2021-09-30
+VTR,Ventas,Net Positivity,CQ32021,2.04,3,2021,2021-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32021,0.87,3,2021,2021-09-30
+AES,AES Corporation,Net Positivity,CQ32021,1.74,3,2021,2021-09-30
+AEE,Ameren,Net Positivity,CQ32021,0.97,3,2021,2021-09-30
+AEP,American Electric Power,Net Positivity,CQ32021,0.82,3,2021,2021-09-30
+CMS,CMS Energy,Net Positivity,CQ32021,1.7,3,2021,2021-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32021,2.0,3,2021,2021-09-30
+DUK,Duke Energy,Net Positivity,CQ32021,1.33,3,2021,2021-09-30
+EIX,Edison International,Net Positivity,CQ32021,0.13,3,2021,2021-09-30
+ETR,Entergy,Net Positivity,CQ32021,1.65,3,2021,2021-09-30
+EXC,Exelon,Net Positivity,CQ32021,0.6,3,2021,2021-09-30
+NEE,NextEra Energy,Net Positivity,CQ32021,1.48,3,2021,2021-09-30
+SO,Southern Company,Net Positivity,CQ32021,0.5,3,2021,2021-09-30
+XEL,Xcel Energy,Net Positivity,CQ32021,1.61,3,2021,2021-09-30
+T,AT&T,Numeric Transeprency,CQ32021,1.67,3,2021,2021-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32021,1.44,3,2021,2021-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32021,,3,2021,2021-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32021,1.01,3,2021,2021-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32021,1.13,3,2021,2021-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32021,3.97,3,2021,2021-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32021,4.04,3,2021,2021-09-30
+VZ,Verizon,Numeric Transeprency,CQ32021,2.11,3,2021,2021-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32021,1.51,3,2021,2021-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32021,2.19,3,2021,2021-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32021,1.64,3,2021,2021-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32021,1.48,3,2021,2021-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32021,1.76,3,2021,2021-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32021,1.53,3,2021,2021-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32021,1.79,3,2021,2021-09-30
+GM,General Motors,Numeric Transeprency,CQ32021,1.69,3,2021,2021-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32021,2.89,3,2021,2021-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32021,1.32,3,2021,2021-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32021,1.75,3,2021,2021-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32021,1.36,3,2021,2021-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32021,1.55,3,2021,2021-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32021,2.43,3,2021,2021-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32021,1.54,3,2021,2021-09-30
+TGT,Target,Numeric Transeprency,CQ32021,1.92,3,2021,2021-09-30
+MO,Altria,Numeric Transeprency,CQ32021,1.73,3,2021,2021-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32021,1.88,3,2021,2021-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32021,0.97,3,2021,2021-09-30
+CLX,Clorox,Numeric Transeprency,CQ32021,2.16,3,2021,2021-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32021,1.25,3,2021,2021-09-30
+COST,Costco,Numeric Transeprency,CQ32021,3.25,3,2021,2021-09-30
+GIS,General Mills,Numeric Transeprency,CQ32021,0.57,3,2021,2021-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32021,0.73,3,2021,2021-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32021,1.09,3,2021,2021-09-30
+KR,Kroger,Numeric Transeprency,CQ32021,1.7,3,2021,2021-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32021,2.56,3,2021,2021-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32021,0.58,3,2021,2021-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32021,2.06,3,2021,2021-09-30
+SYY,Sysco,Numeric Transeprency,CQ32021,2.11,3,2021,2021-09-30
+WMT,Walmart,Numeric Transeprency,CQ32021,1.59,3,2021,2021-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32021,2.26,3,2021,2021-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32021,,3,2021,2021-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32021,2.09,3,2021,2021-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32021,1.51,3,2021,2021-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32021,1.41,3,2021,2021-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32021,1.82,3,2021,2021-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32021,1.77,3,2021,2021-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32021,1.92,3,2021,2021-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32021,2.07,3,2021,2021-09-30
+AFL,Aflac,Numeric Transeprency,CQ32021,2.06,3,2021,2021-09-30
+ALL,Allstate,Numeric Transeprency,CQ32021,2.2,3,2021,2021-09-30
+AXP,American Express,Numeric Transeprency,CQ32021,2.17,3,2021,2021-09-30
+AIG,American International Group,Numeric Transeprency,CQ32021,3.26,3,2021,2021-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32021,1.47,3,2021,2021-09-30
+AON,Aon plc,Numeric Transeprency,CQ32021,1.75,3,2021,2021-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32021,2.49,3,2021,2021-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32021,3.24,3,2021,2021-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32021,,3,2021,2021-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32021,1.96,3,2021,2021-09-30
+CME,CME Group,Numeric Transeprency,CQ32021,1.85,3,2021,2021-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32021,,3,2021,2021-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32021,2.94,3,2021,2021-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32021,3.35,3,2021,2021-09-30
+C,Citigroup,Numeric Transeprency,CQ32021,2.22,3,2021,2021-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32021,2.28,3,2021,2021-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32021,2.53,3,2021,2021-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32021,3.18,3,2021,2021-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32021,1.79,3,2021,2021-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32021,3.18,3,2021,2021-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32021,1.52,3,2021,2021-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32021,2.09,3,2021,2021-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32021,2.11,3,2021,2021-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32021,3.49,3,2021,2021-09-30
+MA,Mastercard,Numeric Transeprency,CQ32021,1.65,3,2021,2021-09-30
+MET,MetLife,Numeric Transeprency,CQ32021,3.04,3,2021,2021-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32021,2.38,3,2021,2021-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32021,2.73,3,2021,2021-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32021,2.51,3,2021,2021-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32021,3.09,3,2021,2021-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32021,1.74,3,2021,2021-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32021,2.15,3,2021,2021-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32021,2.78,3,2021,2021-09-30
+STT,State Street,Numeric Transeprency,CQ32021,1.95,3,2021,2021-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32021,,3,2021,2021-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32021,1.92,3,2021,2021-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32021,1.67,3,2021,2021-09-30
+V,Visa,Numeric Transeprency,CQ32021,3.27,3,2021,2021-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32021,1.87,3,2021,2021-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32021,1.76,3,2021,2021-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32021,1.77,3,2021,2021-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32021,1.89,3,2021,2021-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32021,1.92,3,2021,2021-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32021,2.4,3,2021,2021-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32021,2.97,3,2021,2021-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32021,1.93,3,2021,2021-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32021,4.37,3,2021,2021-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32021,1.09,3,2021,2021-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32021,2.63,3,2021,2021-09-30
+COR,Cencora,Numeric Transeprency,CQ32021,,3,2021,2021-09-30
+CI,Cigna,Numeric Transeprency,CQ32021,2.66,3,2021,2021-09-30
+DVA,DaVita,Numeric Transeprency,CQ32021,2.24,3,2021,2021-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32021,2.28,3,2021,2021-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32021,1.81,3,2021,2021-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32021,2.05,3,2021,2021-09-30
+HUM,Humana,Numeric Transeprency,CQ32021,2.13,3,2021,2021-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32021,2.65,3,2021,2021-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32021,3.26,3,2021,2021-09-30
+LH,Labcorp,Numeric Transeprency,CQ32021,2.78,3,2021,2021-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32021,2.64,3,2021,2021-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32021,1.21,3,2021,2021-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32021,1.05,3,2021,2021-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32021,2.36,3,2021,2021-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32021,2.68,3,2021,2021-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32021,2.44,3,2021,2021-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32021,1.46,3,2021,2021-09-30
+MMM,3M,Numeric Transeprency,CQ32021,2.31,3,2021,2021-09-30
+AME,Ametek,Numeric Transeprency,CQ32021,2.52,3,2021,2021-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32021,1.73,3,2021,2021-09-30
+BA,Boeing,Numeric Transeprency,CQ32021,1.94,3,2021,2021-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32021,1.36,3,2021,2021-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32021,2.49,3,2021,2021-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32021,1.58,3,2021,2021-09-30
+CMI,Cummins,Numeric Transeprency,CQ32021,2.47,3,2021,2021-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32021,1.82,3,2021,2021-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32021,2.02,3,2021,2021-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32021,2.4,3,2021,2021-09-30
+EFX,Equifax,Numeric Transeprency,CQ32021,3.29,3,2021,2021-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32021,,3,2021,2021-09-30
+FDX,FedEx,Numeric Transeprency,CQ32021,1.71,3,2021,2021-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32021,2.31,3,2021,2021-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32021,3.44,3,2021,2021-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32021,2.74,3,2021,2021-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32021,1.95,3,2021,2021-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32021,1.97,3,2021,2021-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32021,2.04,3,2021,2021-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32021,1.38,3,2021,2021-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32021,2.82,3,2021,2021-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32021,3.06,3,2021,2021-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32021,2.15,3,2021,2021-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32021,4.22,3,2021,2021-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32021,3.2,3,2021,2021-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32021,2.63,3,2021,2021-09-30
+WM,Waste Management,Numeric Transeprency,CQ32021,1.59,3,2021,2021-09-30
+ACN,Accenture,Numeric Transeprency,CQ32021,3.39,3,2021,2021-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32021,1.4,3,2021,2021-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32021,2.17,3,2021,2021-09-30
+APH,Amphenol,Numeric Transeprency,CQ32021,1.78,3,2021,2021-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32021,2.23,3,2021,2021-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32021,1.81,3,2021,2021-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32021,2.35,3,2021,2021-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32021,1.43,3,2021,2021-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32021,3.15,3,2021,2021-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32021,2.2,3,2021,2021-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32021,2.31,3,2021,2021-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32021,2.12,3,2021,2021-09-30
+IBM,IBM,Numeric Transeprency,CQ32021,2.07,3,2021,2021-09-30
+INTC,Intel,Numeric Transeprency,CQ32021,1.51,3,2021,2021-09-30
+INTU,Intuit,Numeric Transeprency,CQ32021,1.95,3,2021,2021-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32021,1.66,3,2021,2021-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32021,0.75,3,2021,2021-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32021,3.38,3,2021,2021-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32021,2.84,3,2021,2021-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32021,2.13,3,2021,2021-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32021,1.69,3,2021,2021-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32021,2.53,3,2021,2021-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32021,2.43,3,2021,2021-09-30
+APD,Air Products,Numeric Transeprency,CQ32021,3.14,3,2021,2021-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32021,1.56,3,2021,2021-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32021,1.3,3,2021,2021-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32021,1.93,3,2021,2021-09-30
+IP,International Paper,Numeric Transeprency,CQ32021,1.63,3,2021,2021-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32021,1.63,3,2021,2021-09-30
+NEM,Newmont,Numeric Transeprency,CQ32021,2.13,3,2021,2021-09-30
+NUE,Nucor,Numeric Transeprency,CQ32021,1.55,3,2021,2021-09-30
+AMT,American Tower,Numeric Transeprency,CQ32021,2.75,3,2021,2021-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32021,2.19,3,2021,2021-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32021,1.88,3,2021,2021-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32021,2.33,3,2021,2021-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32021,2.74,3,2021,2021-09-30
+PLD,Prologis,Numeric Transeprency,CQ32021,2.27,3,2021,2021-09-30
+VTR,Ventas,Numeric Transeprency,CQ32021,2.45,3,2021,2021-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32021,1.51,3,2021,2021-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32021,3.23,3,2021,2021-09-30
+AEE,Ameren,Numeric Transeprency,CQ32021,2.11,3,2021,2021-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32021,2.48,3,2021,2021-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32021,2.64,3,2021,2021-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32021,2.79,3,2021,2021-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32021,2.35,3,2021,2021-09-30
+EIX,Edison International,Numeric Transeprency,CQ32021,2.08,3,2021,2021-09-30
+ETR,Entergy,Numeric Transeprency,CQ32021,1.53,3,2021,2021-09-30
+EXC,Exelon,Numeric Transeprency,CQ32021,1.79,3,2021,2021-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32021,3.07,3,2021,2021-09-30
+SO,Southern Company,Numeric Transeprency,CQ32021,2.88,3,2021,2021-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32021,2.49,3,2021,2021-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32021,38.46,3,2021,2021-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32021,16.28,3,2021,2021-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32021,,3,2021,2021-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32021,20.41,3,2021,2021-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32021,0.0,3,2021,2021-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32021,36.36,3,2021,2021-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32021,33.33,3,2021,2021-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32021,40.0,3,2021,2021-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32021,16.33,3,2021,2021-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32021,24.0,3,2021,2021-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32021,15.63,3,2021,2021-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32021,25.81,3,2021,2021-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32021,29.03,3,2021,2021-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32021,70.97,3,2021,2021-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32021,42.86,3,2021,2021-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32021,50.0,3,2021,2021-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32021,50.0,3,2021,2021-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32021,60.0,3,2021,2021-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32021,21.62,3,2021,2021-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32021,29.73,3,2021,2021-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32021,18.75,3,2021,2021-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32021,51.85,3,2021,2021-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32021,25.0,3,2021,2021-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32021,26.67,3,2021,2021-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32021,31.58,3,2021,2021-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32021,66.67,3,2021,2021-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32021,41.18,3,2021,2021-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32021,43.75,3,2021,2021-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32021,37.5,3,2021,2021-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32021,26.67,3,2021,2021-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32021,52.38,3,2021,2021-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32021,36.84,3,2021,2021-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32021,43.75,3,2021,2021-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32021,21.43,3,2021,2021-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32021,53.85,3,2021,2021-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32021,54.55,3,2021,2021-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32021,52.63,3,2021,2021-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32021,66.67,3,2021,2021-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32021,29.73,3,2021,2021-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32021,28.0,3,2021,2021-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32021,,3,2021,2021-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32021,28.57,3,2021,2021-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32021,27.59,3,2021,2021-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32021,24.0,3,2021,2021-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32021,29.17,3,2021,2021-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32021,28.0,3,2021,2021-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32021,37.5,3,2021,2021-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32021,50.0,3,2021,2021-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32021,36.36,3,2021,2021-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32021,29.41,3,2021,2021-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32021,42.31,3,2021,2021-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32021,23.53,3,2021,2021-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32021,46.15,3,2021,2021-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32021,53.33,3,2021,2021-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32021,36.84,3,2021,2021-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32021,25.0,3,2021,2021-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32021,,3,2021,2021-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32021,37.5,3,2021,2021-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32021,47.06,3,2021,2021-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32021,,3,2021,2021-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32021,31.58,3,2021,2021-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32021,20.0,3,2021,2021-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32021,42.86,3,2021,2021-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32021,25.0,3,2021,2021-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32021,55.0,3,2021,2021-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32021,21.88,3,2021,2021-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32021,48.0,3,2021,2021-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32021,25.0,3,2021,2021-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32021,53.33,3,2021,2021-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32021,69.23,3,2021,2021-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32021,34.62,3,2021,2021-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32021,36.84,3,2021,2021-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32021,20.0,3,2021,2021-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32021,35.71,3,2021,2021-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32021,30.77,3,2021,2021-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32021,66.67,3,2021,2021-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32021,58.82,3,2021,2021-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32021,31.58,3,2021,2021-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32021,53.85,3,2021,2021-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32021,33.33,3,2021,2021-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32021,47.06,3,2021,2021-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32021,61.11,3,2021,2021-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32021,,3,2021,2021-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32021,40.0,3,2021,2021-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32021,45.45,3,2021,2021-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32021,25.0,3,2021,2021-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32021,39.13,3,2021,2021-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32021,50.0,3,2021,2021-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32021,24.0,3,2021,2021-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32021,47.06,3,2021,2021-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32021,55.56,3,2021,2021-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32021,47.06,3,2021,2021-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32021,35.29,3,2021,2021-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32021,26.67,3,2021,2021-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32021,27.59,3,2021,2021-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32021,61.11,3,2021,2021-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32021,18.52,3,2021,2021-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32021,,3,2021,2021-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32021,54.55,3,2021,2021-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32021,40.0,3,2021,2021-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32021,25.0,3,2021,2021-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32021,58.82,3,2021,2021-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32021,21.43,3,2021,2021-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32021,50.0,3,2021,2021-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32021,25.0,3,2021,2021-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32021,50.0,3,2021,2021-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32021,46.67,3,2021,2021-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32021,35.29,3,2021,2021-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32021,34.48,3,2021,2021-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32021,71.43,3,2021,2021-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32021,52.63,3,2021,2021-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32021,30.43,3,2021,2021-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32021,46.67,3,2021,2021-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32021,31.03,3,2021,2021-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32021,52.94,3,2021,2021-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32021,53.33,3,2021,2021-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32021,31.82,3,2021,2021-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32021,45.45,3,2021,2021-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32021,50.0,3,2021,2021-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32021,46.15,3,2021,2021-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32021,53.33,3,2021,2021-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32021,28.0,3,2021,2021-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32021,72.73,3,2021,2021-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32021,38.1,3,2021,2021-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32021,43.48,3,2021,2021-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32021,80.0,3,2021,2021-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32021,,3,2021,2021-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32021,53.33,3,2021,2021-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32021,44.44,3,2021,2021-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32021,47.37,3,2021,2021-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32021,50.0,3,2021,2021-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32021,47.62,3,2021,2021-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32021,57.14,3,2021,2021-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32021,55.56,3,2021,2021-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32021,63.16,3,2021,2021-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32021,63.16,3,2021,2021-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32021,26.09,3,2021,2021-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32021,50.0,3,2021,2021-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32021,66.67,3,2021,2021-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32021,26.32,3,2021,2021-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32021,46.43,3,2021,2021-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32021,64.71,3,2021,2021-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32021,25.0,3,2021,2021-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32021,46.15,3,2021,2021-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32021,42.86,3,2021,2021-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32021,60.0,3,2021,2021-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32021,36.0,3,2021,2021-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32021,17.14,3,2021,2021-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32021,35.71,3,2021,2021-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32021,23.08,3,2021,2021-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32021,24.14,3,2021,2021-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32021,44.44,3,2021,2021-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32021,14.29,3,2021,2021-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32021,33.33,3,2021,2021-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32021,46.67,3,2021,2021-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32021,27.27,3,2021,2021-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32021,57.14,3,2021,2021-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32021,47.83,3,2021,2021-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32021,21.88,3,2021,2021-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32021,18.42,3,2021,2021-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32021,57.14,3,2021,2021-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32021,61.54,3,2021,2021-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32021,18.0,3,2021,2021-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32021,25.0,3,2021,2021-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32021,20.0,3,2021,2021-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32021,41.67,3,2021,2021-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32021,54.55,3,2021,2021-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32021,60.0,3,2021,2021-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32021,52.63,3,2021,2021-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32021,66.67,3,2021,2021-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32021,47.37,3,2021,2021-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32021,31.58,3,2021,2021-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32021,27.27,3,2021,2021-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32021,66.67,3,2021,2021-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32021,33.33,3,2021,2021-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32021,25.0,3,2021,2021-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32021,37.5,3,2021,2021-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32021,66.67,3,2021,2021-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32021,83.33,3,2021,2021-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32021,57.14,3,2021,2021-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32021,63.64,3,2021,2021-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32021,27.27,3,2021,2021-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32021,13.33,3,2021,2021-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32021,36.84,3,2021,2021-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32021,20.0,3,2021,2021-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32021,12.5,3,2021,2021-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32021,38.89,3,2021,2021-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32021,23.53,3,2021,2021-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32021,11.76,3,2021,2021-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32021,28.57,3,2021,2021-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32021,30.0,3,2021,2021-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32021,5.56,3,2021,2021-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32021,12.5,3,2021,2021-09-30
+T,AT&T,Language Complexity,CQ32021,11.7,3,2021,2021-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32021,12.16,3,2021,2021-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32021,,3,2021,2021-09-30
+META,Meta Platforms,Language Complexity,CQ32021,12.3,3,2021,2021-09-30
+NFLX,Netflix,Language Complexity,CQ32021,11.28,3,2021,2021-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32021,15.47,3,2021,2021-09-30
+OMC,Omnicom Group,Language Complexity,CQ32021,14.27,3,2021,2021-09-30
+VZ,Verizon,Language Complexity,CQ32021,11.72,3,2021,2021-09-30
+AMZN,Amazon,Language Complexity,CQ32021,11.79,3,2021,2021-09-30
+AZO,AutoZone,Language Complexity,CQ32021,11.63,3,2021,2021-09-30
+BBY,Best Buy,Language Complexity,CQ32021,13.88,3,2021,2021-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32021,12.37,3,2021,2021-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32021,12.68,3,2021,2021-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32021,10.8,3,2021,2021-09-30
+F,Ford Motor Company,Language Complexity,CQ32021,11.64,3,2021,2021-09-30
+GM,General Motors,Language Complexity,CQ32021,13.1,3,2021,2021-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32021,12.77,3,2021,2021-09-30
+HAS,Hasbro,Language Complexity,CQ32021,12.16,3,2021,2021-09-30
+LOW,Lowe's,Language Complexity,CQ32021,13.58,3,2021,2021-09-30
+MCD,McDonald's,Language Complexity,CQ32021,12.77,3,2021,2021-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32021,13.89,3,2021,2021-09-30
+ROST,Ross Stores,Language Complexity,CQ32021,10.72,3,2021,2021-09-30
+TJX,TJX Companies,Language Complexity,CQ32021,11.72,3,2021,2021-09-30
+TGT,Target,Language Complexity,CQ32021,13.26,3,2021,2021-09-30
+MO,Altria,Language Complexity,CQ32021,12.79,3,2021,2021-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32021,12.26,3,2021,2021-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32021,12.1,3,2021,2021-09-30
+CLX,Clorox,Language Complexity,CQ32021,12.98,3,2021,2021-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32021,13.83,3,2021,2021-09-30
+COST,Costco,Language Complexity,CQ32021,10.23,3,2021,2021-09-30
+GIS,General Mills,Language Complexity,CQ32021,10.97,3,2021,2021-09-30
+HSY,Hershey Company,Language Complexity,CQ32021,10.62,3,2021,2021-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32021,11.4,3,2021,2021-09-30
+KR,Kroger,Language Complexity,CQ32021,13.58,3,2021,2021-09-30
+MKC,McCormick & Company,Language Complexity,CQ32021,13.1,3,2021,2021-09-30
+PEP,PepsiCo,Language Complexity,CQ32021,10.96,3,2021,2021-09-30
+PG,Procter & Gamble,Language Complexity,CQ32021,12.28,3,2021,2021-09-30
+SYY,Sysco,Language Complexity,CQ32021,12.53,3,2021,2021-09-30
+WMT,Walmart,Language Complexity,CQ32021,11.99,3,2021,2021-09-30
+APA,APA Corporation,Language Complexity,CQ32021,10.94,3,2021,2021-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32021,,3,2021,2021-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32021,12.29,3,2021,2021-09-30
+EOG,EOG Resources,Language Complexity,CQ32021,12.73,3,2021,2021-09-30
+XOM,ExxonMobil,Language Complexity,CQ32021,15.02,3,2021,2021-09-30
+HAL,Halliburton,Language Complexity,CQ32021,13.01,3,2021,2021-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32021,13.7,3,2021,2021-09-30
+SLB,Schlumberger,Language Complexity,CQ32021,14.62,3,2021,2021-09-30
+VLO,Valero Energy,Language Complexity,CQ32021,11.59,3,2021,2021-09-30
+AFL,Aflac,Language Complexity,CQ32021,13.43,3,2021,2021-09-30
+ALL,Allstate,Language Complexity,CQ32021,12.73,3,2021,2021-09-30
+AXP,American Express,Language Complexity,CQ32021,12.33,3,2021,2021-09-30
+AIG,American International Group,Language Complexity,CQ32021,14.53,3,2021,2021-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32021,11.72,3,2021,2021-09-30
+AON,Aon plc,Language Complexity,CQ32021,12.79,3,2021,2021-09-30
+BK,BNY Mellon,Language Complexity,CQ32021,11.78,3,2021,2021-09-30
+BAC,Bank of America,Language Complexity,CQ32021,11.54,3,2021,2021-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32021,,3,2021,2021-09-30
+BLK,BlackRock,Language Complexity,CQ32021,14.43,3,2021,2021-09-30
+CME,CME Group,Language Complexity,CQ32021,11.09,3,2021,2021-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32021,,3,2021,2021-09-30
+CB,Chubb Limited,Language Complexity,CQ32021,11.78,3,2021,2021-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32021,13.87,3,2021,2021-09-30
+C,Citigroup,Language Complexity,CQ32021,12.89,3,2021,2021-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32021,12.26,3,2021,2021-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32021,13.15,3,2021,2021-09-30
+FISV,Fiserv,Language Complexity,CQ32021,13.01,3,2021,2021-09-30
+GS,Goldman Sachs,Language Complexity,CQ32021,14.19,3,2021,2021-09-30
+HIG,Hartford Financial,Language Complexity,CQ32021,12.74,3,2021,2021-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32021,13.81,3,2021,2021-09-30
+IVZ,Invesco,Language Complexity,CQ32021,11.97,3,2021,2021-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32021,10.39,3,2021,2021-09-30
+KEY,KeyCorp,Language Complexity,CQ32021,11.78,3,2021,2021-09-30
+MA,Mastercard,Language Complexity,CQ32021,12.39,3,2021,2021-09-30
+MET,MetLife,Language Complexity,CQ32021,12.73,3,2021,2021-09-30
+MS,Morgan Stanley,Language Complexity,CQ32021,10.76,3,2021,2021-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32021,13.63,3,2021,2021-09-30
+NTRS,Northern Trust,Language Complexity,CQ32021,11.59,3,2021,2021-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32021,11.99,3,2021,2021-09-30
+PRU,Prudential Financial,Language Complexity,CQ32021,12.81,3,2021,2021-09-30
+RF,Regions Financial,Language Complexity,CQ32021,12.17,3,2021,2021-09-30
+SPGI,S&P Global,Language Complexity,CQ32021,12.25,3,2021,2021-09-30
+STT,State Street,Language Complexity,CQ32021,12.01,3,2021,2021-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32021,,3,2021,2021-09-30
+TRV,Travelers Companies,Language Complexity,CQ32021,13.01,3,2021,2021-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32021,11.24,3,2021,2021-09-30
+V,Visa,Language Complexity,CQ32021,12.98,3,2021,2021-09-30
+WFC,Wells Fargo,Language Complexity,CQ32021,12.65,3,2021,2021-09-30
+ABBV,AbbVie,Language Complexity,CQ32021,12.69,3,2021,2021-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32021,11.71,3,2021,2021-09-30
+A,Agilent Technologies,Language Complexity,CQ32021,10.61,3,2021,2021-09-30
+AMGN,Amgen,Language Complexity,CQ32021,12.37,3,2021,2021-09-30
+BAX,Baxter International,Language Complexity,CQ32021,12.34,3,2021,2021-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32021,11.69,3,2021,2021-09-30
+BIIB,Biogen,Language Complexity,CQ32021,14.1,3,2021,2021-09-30
+BSX,Boston Scientific,Language Complexity,CQ32021,12.42,3,2021,2021-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32021,11.54,3,2021,2021-09-30
+CVS,CVS Health,Language Complexity,CQ32021,13.59,3,2021,2021-09-30
+COR,Cencora,Language Complexity,CQ32021,,3,2021,2021-09-30
+CI,Cigna,Language Complexity,CQ32021,14.7,3,2021,2021-09-30
+DVA,DaVita,Language Complexity,CQ32021,11.07,3,2021,2021-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32021,12.78,3,2021,2021-09-30
+LLY,Eli Lilly,Language Complexity,CQ32021,12.89,3,2021,2021-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32021,12.28,3,2021,2021-09-30
+HUM,Humana,Language Complexity,CQ32021,14.19,3,2021,2021-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32021,13.26,3,2021,2021-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32021,13.69,3,2021,2021-09-30
+LH,Labcorp,Language Complexity,CQ32021,12.31,3,2021,2021-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32021,14.96,3,2021,2021-09-30
+MDT,Medtronic,Language Complexity,CQ32021,11.64,3,2021,2021-09-30
+MRK,Merck & Co.,Language Complexity,CQ32021,14.15,3,2021,2021-09-30
+PFE,Pfizer,Language Complexity,CQ32021,12.46,3,2021,2021-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32021,12.32,3,2021,2021-09-30
+WAT,Waters Corporation,Language Complexity,CQ32021,12.85,3,2021,2021-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32021,11.83,3,2021,2021-09-30
+MMM,3M,Language Complexity,CQ32021,12.52,3,2021,2021-09-30
+AME,Ametek,Language Complexity,CQ32021,11.1,3,2021,2021-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32021,12.85,3,2021,2021-09-30
+BA,Boeing,Language Complexity,CQ32021,12.4,3,2021,2021-09-30
+CSX,CSX Corporation,Language Complexity,CQ32021,11.38,3,2021,2021-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32021,12.23,3,2021,2021-09-30
+CTAS,Cintas,Language Complexity,CQ32021,11.31,3,2021,2021-09-30
+CMI,Cummins,Language Complexity,CQ32021,13.27,3,2021,2021-09-30
+DE,Deere & Company,Language Complexity,CQ32021,13.8,3,2021,2021-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32021,12.05,3,2021,2021-09-30
+EMR,Emerson Electric,Language Complexity,CQ32021,11.93,3,2021,2021-09-30
+EFX,Equifax,Language Complexity,CQ32021,13.12,3,2021,2021-09-30
+EXPD,Expeditors International,Language Complexity,CQ32021,,3,2021,2021-09-30
+FDX,FedEx,Language Complexity,CQ32021,12.89,3,2021,2021-09-30
+GE,GE Aerospace,Language Complexity,CQ32021,12.1,3,2021,2021-09-30
+GD,General Dynamics,Language Complexity,CQ32021,10.78,3,2021,2021-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32021,11.53,3,2021,2021-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32021,12.54,3,2021,2021-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32021,12.11,3,2021,2021-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32021,12.98,3,2021,2021-09-30
+PCAR,Paccar,Language Complexity,CQ32021,10.74,3,2021,2021-09-30
+RTX,RTX Corporation,Language Complexity,CQ32021,11.31,3,2021,2021-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32021,12.61,3,2021,2021-09-30
+ROP,Roper Technologies,Language Complexity,CQ32021,11.53,3,2021,2021-09-30
+SNA,Snap-on,Language Complexity,CQ32021,11.8,3,2021,2021-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32021,14.3,3,2021,2021-09-30
+UPS,United Parcel Service,Language Complexity,CQ32021,11.35,3,2021,2021-09-30
+WM,Waste Management,Language Complexity,CQ32021,12.94,3,2021,2021-09-30
+ACN,Accenture,Language Complexity,CQ32021,12.85,3,2021,2021-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32021,14.68,3,2021,2021-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32021,11.88,3,2021,2021-09-30
+APH,Amphenol,Language Complexity,CQ32021,13.57,3,2021,2021-09-30
+ADI,Analog Devices,Language Complexity,CQ32021,12.52,3,2021,2021-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32021,12.11,3,2021,2021-09-30
+AMAT,Applied Materials,Language Complexity,CQ32021,12.62,3,2021,2021-09-30
+ADSK,Autodesk,Language Complexity,CQ32021,12.64,3,2021,2021-09-30
+AVGO,Broadcom,Language Complexity,CQ32021,11.48,3,2021,2021-09-30
+CSCO,Cisco,Language Complexity,CQ32021,11.98,3,2021,2021-09-30
+CTSH,Cognizant,Language Complexity,CQ32021,14.34,3,2021,2021-09-30
+HPQ,HP Inc.,Language Complexity,CQ32021,12.76,3,2021,2021-09-30
+IBM,IBM,Language Complexity,CQ32021,12.37,3,2021,2021-09-30
+INTC,Intel,Language Complexity,CQ32021,11.93,3,2021,2021-09-30
+INTU,Intuit,Language Complexity,CQ32021,11.77,3,2021,2021-09-30
+LRCX,Lam Research,Language Complexity,CQ32021,11.69,3,2021,2021-09-30
+MU,Micron Technology,Language Complexity,CQ32021,10.45,3,2021,2021-09-30
+MSFT,Microsoft,Language Complexity,CQ32021,14.24,3,2021,2021-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32021,11.86,3,2021,2021-09-30
+NTAP,NetApp,Language Complexity,CQ32021,11.71,3,2021,2021-09-30
+NVDA,Nvidia,Language Complexity,CQ32021,13.36,3,2021,2021-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32021,12.03,3,2021,2021-09-30
+TXN,Texas Instruments,Language Complexity,CQ32021,9.8,3,2021,2021-09-30
+APD,Air Products,Language Complexity,CQ32021,11.95,3,2021,2021-09-30
+AVY,Avery Dennison,Language Complexity,CQ32021,13.69,3,2021,2021-09-30
+ECL,Ecolab,Language Complexity,CQ32021,11.36,3,2021,2021-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32021,12.36,3,2021,2021-09-30
+IP,International Paper,Language Complexity,CQ32021,11.86,3,2021,2021-09-30
+LIN,Linde plc,Language Complexity,CQ32021,11.44,3,2021,2021-09-30
+NEM,Newmont,Language Complexity,CQ32021,13.19,3,2021,2021-09-30
+NUE,Nucor,Language Complexity,CQ32021,12.58,3,2021,2021-09-30
+AMT,American Tower,Language Complexity,CQ32021,14.0,3,2021,2021-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32021,12.82,3,2021,2021-09-30
+EQR,Equity Residential,Language Complexity,CQ32021,11.44,3,2021,2021-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32021,10.99,3,2021,2021-09-30
+IRM,Iron Mountain,Language Complexity,CQ32021,12.92,3,2021,2021-09-30
+PLD,Prologis,Language Complexity,CQ32021,10.67,3,2021,2021-09-30
+VTR,Ventas,Language Complexity,CQ32021,12.61,3,2021,2021-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32021,11.56,3,2021,2021-09-30
+AES,AES Corporation,Language Complexity,CQ32021,13.18,3,2021,2021-09-30
+AEE,Ameren,Language Complexity,CQ32021,14.86,3,2021,2021-09-30
+AEP,American Electric Power,Language Complexity,CQ32021,12.97,3,2021,2021-09-30
+CMS,CMS Energy,Language Complexity,CQ32021,11.44,3,2021,2021-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32021,14.08,3,2021,2021-09-30
+DUK,Duke Energy,Language Complexity,CQ32021,13.95,3,2021,2021-09-30
+EIX,Edison International,Language Complexity,CQ32021,14.66,3,2021,2021-09-30
+ETR,Entergy,Language Complexity,CQ32021,12.83,3,2021,2021-09-30
+EXC,Exelon,Language Complexity,CQ32021,13.62,3,2021,2021-09-30
+NEE,NextEra Energy,Language Complexity,CQ32021,15.67,3,2021,2021-09-30
+SO,Southern Company,Language Complexity,CQ32021,11.6,3,2021,2021-09-30
+XEL,Xcel Energy,Language Complexity,CQ32021,12.76,3,2021,2021-09-30
+T,AT&T,Net Positivity,CQ42021,1.26,4,2021,2021-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42021,1.38,4,2021,2021-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42021,,4,2021,2021-12-31
+META,Meta Platforms,Net Positivity,CQ42021,1.13,4,2021,2021-12-31
+NFLX,Netflix,Net Positivity,CQ42021,1.96,4,2021,2021-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42021,1.33,4,2021,2021-12-31
+OMC,Omnicom Group,Net Positivity,CQ42021,1.43,4,2021,2021-12-31
+VZ,Verizon,Net Positivity,CQ42021,1.82,4,2021,2021-12-31
+AMZN,Amazon,Net Positivity,CQ42021,0.89,4,2021,2021-12-31
+AZO,AutoZone,Net Positivity,CQ42021,1.34,4,2021,2021-12-31
+BBY,Best Buy,Net Positivity,CQ42021,1.11,4,2021,2021-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42021,1.53,4,2021,2021-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42021,1.78,4,2021,2021-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42021,1.58,4,2021,2021-12-31
+F,Ford Motor Company,Net Positivity,CQ42021,1.2,4,2021,2021-12-31
+GM,General Motors,Net Positivity,CQ42021,1.23,4,2021,2021-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42021,2.71,4,2021,2021-12-31
+HAS,Hasbro,Net Positivity,CQ42021,1.02,4,2021,2021-12-31
+LOW,Lowe's,Net Positivity,CQ42021,2.04,4,2021,2021-12-31
+MCD,McDonald's,Net Positivity,CQ42021,1.4,4,2021,2021-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42021,1.62,4,2021,2021-12-31
+ROST,Ross Stores,Net Positivity,CQ42021,1.08,4,2021,2021-12-31
+TJX,TJX Companies,Net Positivity,CQ42021,1.63,4,2021,2021-12-31
+TGT,Target,Net Positivity,CQ42021,1.46,4,2021,2021-12-31
+MO,Altria,Net Positivity,CQ42021,0.5,4,2021,2021-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42021,1.22,4,2021,2021-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42021,0.54,4,2021,2021-12-31
+CLX,Clorox,Net Positivity,CQ42021,0.82,4,2021,2021-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42021,1.54,4,2021,2021-12-31
+COST,Costco,Net Positivity,CQ42021,1.11,4,2021,2021-12-31
+GIS,General Mills,Net Positivity,CQ42021,0.37,4,2021,2021-12-31
+HSY,Hershey Company,Net Positivity,CQ42021,1.04,4,2021,2021-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42021,0.75,4,2021,2021-12-31
+KR,Kroger,Net Positivity,CQ42021,1.75,4,2021,2021-12-31
+MKC,McCormick & Company,Net Positivity,CQ42021,,4,2021,2021-12-31
+PEP,PepsiCo,Net Positivity,CQ42021,1.98,4,2021,2021-12-31
+PG,Procter & Gamble,Net Positivity,CQ42021,0.88,4,2021,2021-12-31
+SYY,Sysco,Net Positivity,CQ42021,1.97,4,2021,2021-12-31
+WMT,Walmart,Net Positivity,CQ42021,1.89,4,2021,2021-12-31
+APA,APA Corporation,Net Positivity,CQ42021,0.66,4,2021,2021-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42021,,4,2021,2021-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42021,1.0,4,2021,2021-12-31
+EOG,EOG Resources,Net Positivity,CQ42021,1.23,4,2021,2021-12-31
+XOM,ExxonMobil,Net Positivity,CQ42021,1.55,4,2021,2021-12-31
+HAL,Halliburton,Net Positivity,CQ42021,1.77,4,2021,2021-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42021,1.26,4,2021,2021-12-31
+SLB,Schlumberger,Net Positivity,CQ42021,2.14,4,2021,2021-12-31
+VLO,Valero Energy,Net Positivity,CQ42021,0.5,4,2021,2021-12-31
+AFL,Aflac,Net Positivity,CQ42021,0.72,4,2021,2021-12-31
+ALL,Allstate,Net Positivity,CQ42021,0.31,4,2021,2021-12-31
+AXP,American Express,Net Positivity,CQ42021,1.26,4,2021,2021-12-31
+AIG,American International Group,Net Positivity,CQ42021,0.32,4,2021,2021-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42021,2.3,4,2021,2021-12-31
+AON,Aon plc,Net Positivity,CQ42021,1.77,4,2021,2021-12-31
+BK,BNY Mellon,Net Positivity,CQ42021,1.05,4,2021,2021-12-31
+BAC,Bank of America,Net Positivity,CQ42021,1.0,4,2021,2021-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42021,,4,2021,2021-12-31
+BLK,BlackRock,Net Positivity,CQ42021,1.13,4,2021,2021-12-31
+CME,CME Group,Net Positivity,CQ42021,0.84,4,2021,2021-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42021,,4,2021,2021-12-31
+CB,Chubb Limited,Net Positivity,CQ42021,-0.11,4,2021,2021-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42021,-0.03,4,2021,2021-12-31
+C,Citigroup,Net Positivity,CQ42021,0.61,4,2021,2021-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42021,1.48,4,2021,2021-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42021,1.64,4,2021,2021-12-31
+FISV,Fiserv,Net Positivity,CQ42021,1.26,4,2021,2021-12-31
+GS,Goldman Sachs,Net Positivity,CQ42021,1.44,4,2021,2021-12-31
+HIG,Hartford Financial,Net Positivity,CQ42021,0.68,4,2021,2021-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42021,0.9,4,2021,2021-12-31
+IVZ,Invesco,Net Positivity,CQ42021,0.97,4,2021,2021-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42021,0.28,4,2021,2021-12-31
+KEY,KeyCorp,Net Positivity,CQ42021,0.96,4,2021,2021-12-31
+MA,Mastercard,Net Positivity,CQ42021,1.42,4,2021,2021-12-31
+MET,MetLife,Net Positivity,CQ42021,0.45,4,2021,2021-12-31
+MS,Morgan Stanley,Net Positivity,CQ42021,0.82,4,2021,2021-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42021,1.19,4,2021,2021-12-31
+NTRS,Northern Trust,Net Positivity,CQ42021,0.88,4,2021,2021-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42021,0.26,4,2021,2021-12-31
+PRU,Prudential Financial,Net Positivity,CQ42021,1.23,4,2021,2021-12-31
+RF,Regions Financial,Net Positivity,CQ42021,1.29,4,2021,2021-12-31
+SPGI,S&P Global,Net Positivity,CQ42021,0.97,4,2021,2021-12-31
+STT,State Street,Net Positivity,CQ42021,1.4,4,2021,2021-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42021,,4,2021,2021-12-31
+TRV,Travelers Companies,Net Positivity,CQ42021,0.15,4,2021,2021-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42021,1.08,4,2021,2021-12-31
+V,Visa,Net Positivity,CQ42021,1.55,4,2021,2021-12-31
+WFC,Wells Fargo,Net Positivity,CQ42021,0.53,4,2021,2021-12-31
+ABBV,AbbVie,Net Positivity,CQ42021,1.21,4,2021,2021-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42021,1.43,4,2021,2021-12-31
+A,Agilent Technologies,Net Positivity,CQ42021,1.43,4,2021,2021-12-31
+AMGN,Amgen,Net Positivity,CQ42021,1.19,4,2021,2021-12-31
+BAX,Baxter International,Net Positivity,CQ42021,0.37,4,2021,2021-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42021,1.92,4,2021,2021-12-31
+BIIB,Biogen,Net Positivity,CQ42021,0.23,4,2021,2021-12-31
+BSX,Boston Scientific,Net Positivity,CQ42021,1.35,4,2021,2021-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42021,1.27,4,2021,2021-12-31
+CVS,CVS Health,Net Positivity,CQ42021,1.63,4,2021,2021-12-31
+COR,Cencora,Net Positivity,CQ42021,,4,2021,2021-12-31
+CI,Cigna,Net Positivity,CQ42021,1.17,4,2021,2021-12-31
+DVA,DaVita,Net Positivity,CQ42021,0.34,4,2021,2021-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42021,1.58,4,2021,2021-12-31
+LLY,Eli Lilly,Net Positivity,CQ42021,0.99,4,2021,2021-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42021,1.04,4,2021,2021-12-31
+HUM,Humana,Net Positivity,CQ42021,1.16,4,2021,2021-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42021,0.75,4,2021,2021-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42021,1.03,4,2021,2021-12-31
+LH,Labcorp,Net Positivity,CQ42021,1.07,4,2021,2021-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42021,1.47,4,2021,2021-12-31
+MDT,Medtronic,Net Positivity,CQ42021,1.26,4,2021,2021-12-31
+MRK,Merck & Co.,Net Positivity,CQ42021,1.81,4,2021,2021-12-31
+PFE,Pfizer,Net Positivity,CQ42021,0.67,4,2021,2021-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42021,1.88,4,2021,2021-12-31
+WAT,Waters Corporation,Net Positivity,CQ42021,1.43,4,2021,2021-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42021,0.83,4,2021,2021-12-31
+MMM,3M,Net Positivity,CQ42021,0.55,4,2021,2021-12-31
+AME,Ametek,Net Positivity,CQ42021,1.52,4,2021,2021-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42021,1.22,4,2021,2021-12-31
+BA,Boeing,Net Positivity,CQ42021,0.94,4,2021,2021-12-31
+CSX,CSX Corporation,Net Positivity,CQ42021,0.29,4,2021,2021-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42021,0.77,4,2021,2021-12-31
+CTAS,Cintas,Net Positivity,CQ42021,1.58,4,2021,2021-12-31
+CMI,Cummins,Net Positivity,CQ42021,0.67,4,2021,2021-12-31
+DE,Deere & Company,Net Positivity,CQ42021,0.84,4,2021,2021-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42021,0.74,4,2021,2021-12-31
+EMR,Emerson Electric,Net Positivity,CQ42021,0.77,4,2021,2021-12-31
+EFX,Equifax,Net Positivity,CQ42021,0.82,4,2021,2021-12-31
+EXPD,Expeditors International,Net Positivity,CQ42021,,4,2021,2021-12-31
+FDX,FedEx,Net Positivity,CQ42021,1.76,4,2021,2021-12-31
+GE,GE Aerospace,Net Positivity,CQ42021,1.52,4,2021,2021-12-31
+GD,General Dynamics,Net Positivity,CQ42021,0.9,4,2021,2021-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42021,0.8,4,2021,2021-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42021,0.84,4,2021,2021-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42021,1.35,4,2021,2021-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42021,0.45,4,2021,2021-12-31
+PCAR,Paccar,Net Positivity,CQ42021,1.89,4,2021,2021-12-31
+RTX,RTX Corporation,Net Positivity,CQ42021,0.39,4,2021,2021-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42021,1.31,4,2021,2021-12-31
+ROP,Roper Technologies,Net Positivity,CQ42021,0.79,4,2021,2021-12-31
+SNA,Snap-on,Net Positivity,CQ42021,1.15,4,2021,2021-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42021,1.99,4,2021,2021-12-31
+UPS,United Parcel Service,Net Positivity,CQ42021,1.29,4,2021,2021-12-31
+WM,Waste Management,Net Positivity,CQ42021,0.71,4,2021,2021-12-31
+ACN,Accenture,Net Positivity,CQ42021,1.32,4,2021,2021-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42021,3.02,4,2021,2021-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42021,0.67,4,2021,2021-12-31
+APH,Amphenol,Net Positivity,CQ42021,0.51,4,2021,2021-12-31
+ADI,Analog Devices,Net Positivity,CQ42021,1.19,4,2021,2021-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42021,1.02,4,2021,2021-12-31
+AMAT,Applied Materials,Net Positivity,CQ42021,1.78,4,2021,2021-12-31
+ADSK,Autodesk,Net Positivity,CQ42021,0.99,4,2021,2021-12-31
+AVGO,Broadcom,Net Positivity,CQ42021,0.64,4,2021,2021-12-31
+CSCO,Cisco,Net Positivity,CQ42021,1.44,4,2021,2021-12-31
+CTSH,Cognizant,Net Positivity,CQ42021,0.88,4,2021,2021-12-31
+HPQ,HP Inc.,Net Positivity,CQ42021,1.78,4,2021,2021-12-31
+IBM,IBM,Net Positivity,CQ42021,1.24,4,2021,2021-12-31
+INTC,Intel,Net Positivity,CQ42021,2.44,4,2021,2021-12-31
+INTU,Intuit,Net Positivity,CQ42021,1.56,4,2021,2021-12-31
+LRCX,Lam Research,Net Positivity,CQ42021,0.71,4,2021,2021-12-31
+MU,Micron Technology,Net Positivity,CQ42021,1.04,4,2021,2021-12-31
+MSFT,Microsoft,Net Positivity,CQ42021,1.35,4,2021,2021-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42021,1.03,4,2021,2021-12-31
+NTAP,NetApp,Net Positivity,CQ42021,1.3,4,2021,2021-12-31
+NVDA,Nvidia,Net Positivity,CQ42021,0.89,4,2021,2021-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42021,0.54,4,2021,2021-12-31
+TXN,Texas Instruments,Net Positivity,CQ42021,0.71,4,2021,2021-12-31
+APD,Air Products,Net Positivity,CQ42021,1.06,4,2021,2021-12-31
+AVY,Avery Dennison,Net Positivity,CQ42021,0.83,4,2021,2021-12-31
+ECL,Ecolab,Net Positivity,CQ42021,1.53,4,2021,2021-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42021,1.8,4,2021,2021-12-31
+IP,International Paper,Net Positivity,CQ42021,0.95,4,2021,2021-12-31
+LIN,Linde plc,Net Positivity,CQ42021,0.99,4,2021,2021-12-31
+NEM,Newmont,Net Positivity,CQ42021,0.73,4,2021,2021-12-31
+NUE,Nucor,Net Positivity,CQ42021,0.61,4,2021,2021-12-31
+AMT,American Tower,Net Positivity,CQ42021,1.28,4,2021,2021-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42021,0.95,4,2021,2021-12-31
+EQR,Equity Residential,Net Positivity,CQ42021,0.76,4,2021,2021-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42021,1.07,4,2021,2021-12-31
+IRM,Iron Mountain,Net Positivity,CQ42021,1.8,4,2021,2021-12-31
+PLD,Prologis,Net Positivity,CQ42021,0.59,4,2021,2021-12-31
+VTR,Ventas,Net Positivity,CQ42021,1.53,4,2021,2021-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42021,0.56,4,2021,2021-12-31
+AES,AES Corporation,Net Positivity,CQ42021,1.5,4,2021,2021-12-31
+AEE,Ameren,Net Positivity,CQ42021,1.23,4,2021,2021-12-31
+AEP,American Electric Power,Net Positivity,CQ42021,0.77,4,2021,2021-12-31
+CMS,CMS Energy,Net Positivity,CQ42021,1.45,4,2021,2021-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42021,0.9,4,2021,2021-12-31
+DUK,Duke Energy,Net Positivity,CQ42021,1.64,4,2021,2021-12-31
+EIX,Edison International,Net Positivity,CQ42021,0.03,4,2021,2021-12-31
+ETR,Entergy,Net Positivity,CQ42021,0.85,4,2021,2021-12-31
+EXC,Exelon,Net Positivity,CQ42021,1.08,4,2021,2021-12-31
+NEE,NextEra Energy,Net Positivity,CQ42021,1.7,4,2021,2021-12-31
+SO,Southern Company,Net Positivity,CQ42021,0.57,4,2021,2021-12-31
+XEL,Xcel Energy,Net Positivity,CQ42021,1.42,4,2021,2021-12-31
+T,AT&T,Numeric Transeprency,CQ42021,1.21,4,2021,2021-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42021,1.54,4,2021,2021-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42021,,4,2021,2021-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42021,1.68,4,2021,2021-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42021,0.81,4,2021,2021-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42021,3.81,4,2021,2021-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42021,1.92,4,2021,2021-12-31
+VZ,Verizon,Numeric Transeprency,CQ42021,1.77,4,2021,2021-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42021,1.5,4,2021,2021-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42021,2.16,4,2021,2021-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42021,1.55,4,2021,2021-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42021,1.79,4,2021,2021-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42021,1.79,4,2021,2021-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42021,1.72,4,2021,2021-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42021,2.08,4,2021,2021-12-31
+GM,General Motors,Numeric Transeprency,CQ42021,1.52,4,2021,2021-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42021,2.82,4,2021,2021-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42021,1.66,4,2021,2021-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42021,1.96,4,2021,2021-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42021,1.18,4,2021,2021-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42021,1.6,4,2021,2021-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42021,2.25,4,2021,2021-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42021,1.12,4,2021,2021-12-31
+TGT,Target,Numeric Transeprency,CQ42021,1.6,4,2021,2021-12-31
+MO,Altria,Numeric Transeprency,CQ42021,2.08,4,2021,2021-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42021,1.57,4,2021,2021-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42021,1.15,4,2021,2021-12-31
+CLX,Clorox,Numeric Transeprency,CQ42021,1.11,4,2021,2021-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42021,1.06,4,2021,2021-12-31
+COST,Costco,Numeric Transeprency,CQ42021,3.34,4,2021,2021-12-31
+GIS,General Mills,Numeric Transeprency,CQ42021,0.68,4,2021,2021-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42021,0.6,4,2021,2021-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42021,0.78,4,2021,2021-12-31
+KR,Kroger,Numeric Transeprency,CQ42021,1.44,4,2021,2021-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42021,,4,2021,2021-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42021,1.03,4,2021,2021-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42021,1.5,4,2021,2021-12-31
+SYY,Sysco,Numeric Transeprency,CQ42021,1.73,4,2021,2021-12-31
+WMT,Walmart,Numeric Transeprency,CQ42021,1.18,4,2021,2021-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42021,1.7,4,2021,2021-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42021,,4,2021,2021-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42021,1.91,4,2021,2021-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42021,1.92,4,2021,2021-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42021,0.94,4,2021,2021-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42021,1.74,4,2021,2021-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42021,1.2,4,2021,2021-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42021,1.76,4,2021,2021-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42021,2.82,4,2021,2021-12-31
+AFL,Aflac,Numeric Transeprency,CQ42021,2.1,4,2021,2021-12-31
+ALL,Allstate,Numeric Transeprency,CQ42021,2.05,4,2021,2021-12-31
+AXP,American Express,Numeric Transeprency,CQ42021,1.84,4,2021,2021-12-31
+AIG,American International Group,Numeric Transeprency,CQ42021,3.59,4,2021,2021-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42021,2.07,4,2021,2021-12-31
+AON,Aon plc,Numeric Transeprency,CQ42021,1.87,4,2021,2021-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42021,2.12,4,2021,2021-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42021,3.11,4,2021,2021-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42021,,4,2021,2021-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42021,2.05,4,2021,2021-12-31
+CME,CME Group,Numeric Transeprency,CQ42021,2.72,4,2021,2021-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42021,,4,2021,2021-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42021,3.04,4,2021,2021-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42021,3.27,4,2021,2021-12-31
+C,Citigroup,Numeric Transeprency,CQ42021,1.95,4,2021,2021-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42021,2.34,4,2021,2021-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42021,3.14,4,2021,2021-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42021,2.75,4,2021,2021-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42021,2.01,4,2021,2021-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42021,2.89,4,2021,2021-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42021,1.63,4,2021,2021-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42021,2.29,4,2021,2021-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42021,1.94,4,2021,2021-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42021,3.05,4,2021,2021-12-31
+MA,Mastercard,Numeric Transeprency,CQ42021,1.74,4,2021,2021-12-31
+MET,MetLife,Numeric Transeprency,CQ42021,3.36,4,2021,2021-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42021,1.73,4,2021,2021-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42021,2.52,4,2021,2021-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42021,1.95,4,2021,2021-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42021,2.6,4,2021,2021-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42021,1.53,4,2021,2021-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42021,2.41,4,2021,2021-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42021,2.75,4,2021,2021-12-31
+STT,State Street,Numeric Transeprency,CQ42021,1.72,4,2021,2021-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42021,,4,2021,2021-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42021,2.03,4,2021,2021-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42021,2.53,4,2021,2021-12-31
+V,Visa,Numeric Transeprency,CQ42021,3.52,4,2021,2021-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42021,1.76,4,2021,2021-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42021,1.8,4,2021,2021-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42021,1.59,4,2021,2021-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42021,2.53,4,2021,2021-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42021,1.74,4,2021,2021-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42021,1.92,4,2021,2021-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42021,3.16,4,2021,2021-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42021,2.11,4,2021,2021-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42021,3.92,4,2021,2021-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42021,1.18,4,2021,2021-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42021,3.18,4,2021,2021-12-31
+COR,Cencora,Numeric Transeprency,CQ42021,,4,2021,2021-12-31
+CI,Cigna,Numeric Transeprency,CQ42021,2.86,4,2021,2021-12-31
+DVA,DaVita,Numeric Transeprency,CQ42021,2.91,4,2021,2021-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42021,2.15,4,2021,2021-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42021,1.74,4,2021,2021-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42021,2.25,4,2021,2021-12-31
+HUM,Humana,Numeric Transeprency,CQ42021,2.09,4,2021,2021-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42021,2.58,4,2021,2021-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42021,3.34,4,2021,2021-12-31
+LH,Labcorp,Numeric Transeprency,CQ42021,3.04,4,2021,2021-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42021,2.91,4,2021,2021-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42021,1.32,4,2021,2021-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42021,1.43,4,2021,2021-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42021,2.59,4,2021,2021-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42021,2.93,4,2021,2021-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42021,3.15,4,2021,2021-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42021,1.96,4,2021,2021-12-31
+MMM,3M,Numeric Transeprency,CQ42021,2.48,4,2021,2021-12-31
+AME,Ametek,Numeric Transeprency,CQ42021,2.51,4,2021,2021-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42021,1.16,4,2021,2021-12-31
+BA,Boeing,Numeric Transeprency,CQ42021,2.54,4,2021,2021-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42021,0.98,4,2021,2021-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42021,2.44,4,2021,2021-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42021,2.02,4,2021,2021-12-31
+CMI,Cummins,Numeric Transeprency,CQ42021,2.35,4,2021,2021-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42021,2.43,4,2021,2021-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42021,2.09,4,2021,2021-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42021,3.19,4,2021,2021-12-31
+EFX,Equifax,Numeric Transeprency,CQ42021,4.46,4,2021,2021-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42021,,4,2021,2021-12-31
+FDX,FedEx,Numeric Transeprency,CQ42021,1.64,4,2021,2021-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42021,1.91,4,2021,2021-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42021,3.51,4,2021,2021-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42021,3.24,4,2021,2021-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42021,3.55,4,2021,2021-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42021,1.41,4,2021,2021-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42021,3.51,4,2021,2021-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42021,1.7,4,2021,2021-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42021,2.96,4,2021,2021-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42021,3.4,4,2021,2021-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42021,2.15,4,2021,2021-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42021,3.81,4,2021,2021-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42021,3.06,4,2021,2021-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42021,2.62,4,2021,2021-12-31
+WM,Waste Management,Numeric Transeprency,CQ42021,2.26,4,2021,2021-12-31
+ACN,Accenture,Numeric Transeprency,CQ42021,2.66,4,2021,2021-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42021,1.62,4,2021,2021-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42021,2.26,4,2021,2021-12-31
+APH,Amphenol,Numeric Transeprency,CQ42021,2.01,4,2021,2021-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42021,2.64,4,2021,2021-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42021,2.14,4,2021,2021-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42021,2.55,4,2021,2021-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42021,1.67,4,2021,2021-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42021,3.78,4,2021,2021-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42021,2.4,4,2021,2021-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42021,1.6,4,2021,2021-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42021,2.55,4,2021,2021-12-31
+IBM,IBM,Numeric Transeprency,CQ42021,2.81,4,2021,2021-12-31
+INTC,Intel,Numeric Transeprency,CQ42021,2.02,4,2021,2021-12-31
+INTU,Intuit,Numeric Transeprency,CQ42021,1.73,4,2021,2021-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42021,1.46,4,2021,2021-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42021,1.27,4,2021,2021-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42021,2.88,4,2021,2021-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42021,2.43,4,2021,2021-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42021,2.15,4,2021,2021-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42021,1.92,4,2021,2021-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42021,2.46,4,2021,2021-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42021,2.59,4,2021,2021-12-31
+APD,Air Products,Numeric Transeprency,CQ42021,2.82,4,2021,2021-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42021,2.06,4,2021,2021-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42021,1.43,4,2021,2021-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42021,2.18,4,2021,2021-12-31
+IP,International Paper,Numeric Transeprency,CQ42021,1.97,4,2021,2021-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42021,2.1,4,2021,2021-12-31
+NEM,Newmont,Numeric Transeprency,CQ42021,2.56,4,2021,2021-12-31
+NUE,Nucor,Numeric Transeprency,CQ42021,2.27,4,2021,2021-12-31
+AMT,American Tower,Numeric Transeprency,CQ42021,2.15,4,2021,2021-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42021,2.12,4,2021,2021-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42021,2.1,4,2021,2021-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42021,2.46,4,2021,2021-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42021,2.2,4,2021,2021-12-31
+PLD,Prologis,Numeric Transeprency,CQ42021,2.37,4,2021,2021-12-31
+VTR,Ventas,Numeric Transeprency,CQ42021,2.25,4,2021,2021-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42021,1.46,4,2021,2021-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42021,3.1,4,2021,2021-12-31
+AEE,Ameren,Numeric Transeprency,CQ42021,2.72,4,2021,2021-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42021,2.92,4,2021,2021-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42021,2.37,4,2021,2021-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42021,2.65,4,2021,2021-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42021,2.27,4,2021,2021-12-31
+EIX,Edison International,Numeric Transeprency,CQ42021,3.61,4,2021,2021-12-31
+ETR,Entergy,Numeric Transeprency,CQ42021,1.74,4,2021,2021-12-31
+EXC,Exelon,Numeric Transeprency,CQ42021,1.8,4,2021,2021-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42021,3.04,4,2021,2021-12-31
+SO,Southern Company,Numeric Transeprency,CQ42021,3.02,4,2021,2021-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42021,2.43,4,2021,2021-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42021,35.0,4,2021,2021-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42021,17.07,4,2021,2021-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42021,,4,2021,2021-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42021,20.83,4,2021,2021-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42021,0.0,4,2021,2021-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42021,40.0,4,2021,2021-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42021,36.0,4,2021,2021-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42021,15.56,4,2021,2021-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42021,24.0,4,2021,2021-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42021,20.59,4,2021,2021-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42021,18.75,4,2021,2021-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42021,35.48,4,2021,2021-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42021,66.67,4,2021,2021-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42021,47.62,4,2021,2021-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42021,54.55,4,2021,2021-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42021,38.46,4,2021,2021-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42021,53.85,4,2021,2021-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42021,19.44,4,2021,2021-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42021,40.54,4,2021,2021-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42021,20.59,4,2021,2021-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42021,39.29,4,2021,2021-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42021,22.58,4,2021,2021-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42021,22.22,4,2021,2021-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42021,68.75,4,2021,2021-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42021,37.5,4,2021,2021-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42021,47.06,4,2021,2021-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42021,43.48,4,2021,2021-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42021,33.33,4,2021,2021-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42021,52.63,4,2021,2021-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42021,47.06,4,2021,2021-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42021,22.22,4,2021,2021-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42021,,4,2021,2021-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42021,66.67,4,2021,2021-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42021,60.0,4,2021,2021-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42021,60.0,4,2021,2021-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42021,34.21,4,2021,2021-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42021,26.09,4,2021,2021-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42021,,4,2021,2021-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42021,11.76,4,2021,2021-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42021,36.67,4,2021,2021-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42021,30.77,4,2021,2021-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42021,29.63,4,2021,2021-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42021,34.78,4,2021,2021-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42021,32.14,4,2021,2021-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42021,52.63,4,2021,2021-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42021,33.33,4,2021,2021-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42021,44.0,4,2021,2021-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42021,33.33,4,2021,2021-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42021,63.64,4,2021,2021-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42021,21.43,4,2021,2021-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42021,44.44,4,2021,2021-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42021,37.5,4,2021,2021-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42021,,4,2021,2021-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42021,38.46,4,2021,2021-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42021,52.94,4,2021,2021-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42021,,4,2021,2021-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42021,42.11,4,2021,2021-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42021,55.0,4,2021,2021-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42021,28.57,4,2021,2021-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42021,42.86,4,2021,2021-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42021,31.03,4,2021,2021-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42021,38.46,4,2021,2021-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42021,43.75,4,2021,2021-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42021,61.54,4,2021,2021-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42021,41.67,4,2021,2021-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42021,45.0,4,2021,2021-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42021,33.33,4,2021,2021-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42021,30.77,4,2021,2021-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42021,30.77,4,2021,2021-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42021,53.33,4,2021,2021-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42021,70.59,4,2021,2021-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42021,33.33,4,2021,2021-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42021,63.64,4,2021,2021-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42021,36.0,4,2021,2021-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42021,68.75,4,2021,2021-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42021,64.71,4,2021,2021-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42021,,4,2021,2021-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42021,41.67,4,2021,2021-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42021,26.47,4,2021,2021-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42021,37.5,4,2021,2021-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42021,55.0,4,2021,2021-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42021,30.43,4,2021,2021-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42021,56.25,4,2021,2021-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42021,37.5,4,2021,2021-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42021,35.29,4,2021,2021-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42021,35.29,4,2021,2021-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42021,28.57,4,2021,2021-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42021,27.59,4,2021,2021-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42021,64.71,4,2021,2021-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42021,26.92,4,2021,2021-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42021,,4,2021,2021-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42021,52.17,4,2021,2021-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42021,60.0,4,2021,2021-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42021,33.33,4,2021,2021-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42021,58.82,4,2021,2021-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42021,36.0,4,2021,2021-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42021,56.52,4,2021,2021-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42021,30.0,4,2021,2021-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42021,41.18,4,2021,2021-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42021,26.67,4,2021,2021-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42021,47.06,4,2021,2021-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42021,31.03,4,2021,2021-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42021,58.82,4,2021,2021-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42021,28.57,4,2021,2021-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42021,28.57,4,2021,2021-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42021,28.57,4,2021,2021-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42021,45.0,4,2021,2021-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42021,28.57,4,2021,2021-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42021,34.78,4,2021,2021-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42021,45.0,4,2021,2021-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42021,44.44,4,2021,2021-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42021,55.56,4,2021,2021-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42021,53.33,4,2021,2021-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42021,32.0,4,2021,2021-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42021,63.64,4,2021,2021-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42021,52.38,4,2021,2021-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42021,34.78,4,2021,2021-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42021,65.0,4,2021,2021-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42021,,4,2021,2021-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42021,48.39,4,2021,2021-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42021,47.37,4,2021,2021-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42021,62.5,4,2021,2021-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42021,35.0,4,2021,2021-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42021,44.44,4,2021,2021-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42021,62.96,4,2021,2021-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42021,78.95,4,2021,2021-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42021,61.11,4,2021,2021-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42021,38.1,4,2021,2021-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42021,55.56,4,2021,2021-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42021,41.18,4,2021,2021-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42021,55.17,4,2021,2021-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42021,62.5,4,2021,2021-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42021,25.0,4,2021,2021-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42021,31.03,4,2021,2021-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42021,46.67,4,2021,2021-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42021,66.67,4,2021,2021-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42021,31.82,4,2021,2021-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42021,22.5,4,2021,2021-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42021,41.38,4,2021,2021-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42021,23.08,4,2021,2021-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42021,27.59,4,2021,2021-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42021,41.38,4,2021,2021-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42021,25.0,4,2021,2021-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42021,41.18,4,2021,2021-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42021,42.86,4,2021,2021-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42021,20.93,4,2021,2021-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42021,39.13,4,2021,2021-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42021,60.87,4,2021,2021-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42021,18.42,4,2021,2021-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42021,18.92,4,2021,2021-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42021,57.14,4,2021,2021-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42021,12.24,4,2021,2021-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42021,11.54,4,2021,2021-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42021,30.0,4,2021,2021-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42021,30.43,4,2021,2021-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42021,45.45,4,2021,2021-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42021,42.86,4,2021,2021-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42021,52.94,4,2021,2021-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42021,46.15,4,2021,2021-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42021,27.78,4,2021,2021-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42021,44.44,4,2021,2021-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42021,58.33,4,2021,2021-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42021,37.5,4,2021,2021-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42021,40.0,4,2021,2021-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42021,50.0,4,2021,2021-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42021,54.55,4,2021,2021-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42021,66.67,4,2021,2021-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42021,87.5,4,2021,2021-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42021,25.0,4,2021,2021-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42021,60.0,4,2021,2021-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42021,36.36,4,2021,2021-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42021,20.0,4,2021,2021-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42021,33.33,4,2021,2021-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42021,20.0,4,2021,2021-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42021,33.33,4,2021,2021-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42021,27.78,4,2021,2021-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42021,35.29,4,2021,2021-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42021,25.0,4,2021,2021-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42021,23.53,4,2021,2021-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42021,33.33,4,2021,2021-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42021,38.89,4,2021,2021-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42021,43.75,4,2021,2021-12-31
+T,AT&T,Language Complexity,CQ42021,11.98,4,2021,2021-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42021,12.36,4,2021,2021-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42021,,4,2021,2021-12-31
+META,Meta Platforms,Language Complexity,CQ42021,12.19,4,2021,2021-12-31
+NFLX,Netflix,Language Complexity,CQ42021,10.71,4,2021,2021-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42021,14.16,4,2021,2021-12-31
+OMC,Omnicom Group,Language Complexity,CQ42021,13.99,4,2021,2021-12-31
+VZ,Verizon,Language Complexity,CQ42021,11.12,4,2021,2021-12-31
+AMZN,Amazon,Language Complexity,CQ42021,12.29,4,2021,2021-12-31
+AZO,AutoZone,Language Complexity,CQ42021,12.39,4,2021,2021-12-31
+BBY,Best Buy,Language Complexity,CQ42021,13.69,4,2021,2021-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42021,12.19,4,2021,2021-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42021,12.42,4,2021,2021-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42021,10.98,4,2021,2021-12-31
+F,Ford Motor Company,Language Complexity,CQ42021,11.07,4,2021,2021-12-31
+GM,General Motors,Language Complexity,CQ42021,12.17,4,2021,2021-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42021,13.23,4,2021,2021-12-31
+HAS,Hasbro,Language Complexity,CQ42021,11.79,4,2021,2021-12-31
+LOW,Lowe's,Language Complexity,CQ42021,13.37,4,2021,2021-12-31
+MCD,McDonald's,Language Complexity,CQ42021,12.89,4,2021,2021-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42021,14.22,4,2021,2021-12-31
+ROST,Ross Stores,Language Complexity,CQ42021,10.36,4,2021,2021-12-31
+TJX,TJX Companies,Language Complexity,CQ42021,11.5,4,2021,2021-12-31
+TGT,Target,Language Complexity,CQ42021,14.37,4,2021,2021-12-31
+MO,Altria,Language Complexity,CQ42021,13.61,4,2021,2021-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42021,11.9,4,2021,2021-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42021,13.47,4,2021,2021-12-31
+CLX,Clorox,Language Complexity,CQ42021,10.14,4,2021,2021-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42021,13.81,4,2021,2021-12-31
+COST,Costco,Language Complexity,CQ42021,10.07,4,2021,2021-12-31
+GIS,General Mills,Language Complexity,CQ42021,10.51,4,2021,2021-12-31
+HSY,Hershey Company,Language Complexity,CQ42021,10.48,4,2021,2021-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42021,10.76,4,2021,2021-12-31
+KR,Kroger,Language Complexity,CQ42021,13.67,4,2021,2021-12-31
+MKC,McCormick & Company,Language Complexity,CQ42021,,4,2021,2021-12-31
+PEP,PepsiCo,Language Complexity,CQ42021,11.12,4,2021,2021-12-31
+PG,Procter & Gamble,Language Complexity,CQ42021,12.43,4,2021,2021-12-31
+SYY,Sysco,Language Complexity,CQ42021,12.99,4,2021,2021-12-31
+WMT,Walmart,Language Complexity,CQ42021,11.44,4,2021,2021-12-31
+APA,APA Corporation,Language Complexity,CQ42021,11.13,4,2021,2021-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42021,,4,2021,2021-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42021,11.53,4,2021,2021-12-31
+EOG,EOG Resources,Language Complexity,CQ42021,12.47,4,2021,2021-12-31
+XOM,ExxonMobil,Language Complexity,CQ42021,12.31,4,2021,2021-12-31
+HAL,Halliburton,Language Complexity,CQ42021,13.33,4,2021,2021-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42021,12.79,4,2021,2021-12-31
+SLB,Schlumberger,Language Complexity,CQ42021,15.27,4,2021,2021-12-31
+VLO,Valero Energy,Language Complexity,CQ42021,10.75,4,2021,2021-12-31
+AFL,Aflac,Language Complexity,CQ42021,13.05,4,2021,2021-12-31
+ALL,Allstate,Language Complexity,CQ42021,13.45,4,2021,2021-12-31
+AXP,American Express,Language Complexity,CQ42021,13.24,4,2021,2021-12-31
+AIG,American International Group,Language Complexity,CQ42021,14.85,4,2021,2021-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42021,12.93,4,2021,2021-12-31
+AON,Aon plc,Language Complexity,CQ42021,13.57,4,2021,2021-12-31
+BK,BNY Mellon,Language Complexity,CQ42021,12.23,4,2021,2021-12-31
+BAC,Bank of America,Language Complexity,CQ42021,11.55,4,2021,2021-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42021,,4,2021,2021-12-31
+BLK,BlackRock,Language Complexity,CQ42021,14.95,4,2021,2021-12-31
+CME,CME Group,Language Complexity,CQ42021,11.26,4,2021,2021-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42021,,4,2021,2021-12-31
+CB,Chubb Limited,Language Complexity,CQ42021,12.54,4,2021,2021-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42021,13.12,4,2021,2021-12-31
+C,Citigroup,Language Complexity,CQ42021,12.57,4,2021,2021-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42021,12.77,4,2021,2021-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42021,12.99,4,2021,2021-12-31
+FISV,Fiserv,Language Complexity,CQ42021,13.08,4,2021,2021-12-31
+GS,Goldman Sachs,Language Complexity,CQ42021,13.7,4,2021,2021-12-31
+HIG,Hartford Financial,Language Complexity,CQ42021,12.56,4,2021,2021-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42021,13.62,4,2021,2021-12-31
+IVZ,Invesco,Language Complexity,CQ42021,12.83,4,2021,2021-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42021,10.82,4,2021,2021-12-31
+KEY,KeyCorp,Language Complexity,CQ42021,11.07,4,2021,2021-12-31
+MA,Mastercard,Language Complexity,CQ42021,11.56,4,2021,2021-12-31
+MET,MetLife,Language Complexity,CQ42021,12.89,4,2021,2021-12-31
+MS,Morgan Stanley,Language Complexity,CQ42021,12.09,4,2021,2021-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42021,14.74,4,2021,2021-12-31
+NTRS,Northern Trust,Language Complexity,CQ42021,11.53,4,2021,2021-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42021,10.41,4,2021,2021-12-31
+PRU,Prudential Financial,Language Complexity,CQ42021,12.65,4,2021,2021-12-31
+RF,Regions Financial,Language Complexity,CQ42021,12.23,4,2021,2021-12-31
+SPGI,S&P Global,Language Complexity,CQ42021,12.55,4,2021,2021-12-31
+STT,State Street,Language Complexity,CQ42021,12.14,4,2021,2021-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42021,,4,2021,2021-12-31
+TRV,Travelers Companies,Language Complexity,CQ42021,12.55,4,2021,2021-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42021,10.91,4,2021,2021-12-31
+V,Visa,Language Complexity,CQ42021,12.58,4,2021,2021-12-31
+WFC,Wells Fargo,Language Complexity,CQ42021,12.71,4,2021,2021-12-31
+ABBV,AbbVie,Language Complexity,CQ42021,12.69,4,2021,2021-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42021,11.0,4,2021,2021-12-31
+A,Agilent Technologies,Language Complexity,CQ42021,10.37,4,2021,2021-12-31
+AMGN,Amgen,Language Complexity,CQ42021,12.4,4,2021,2021-12-31
+BAX,Baxter International,Language Complexity,CQ42021,13.14,4,2021,2021-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42021,12.88,4,2021,2021-12-31
+BIIB,Biogen,Language Complexity,CQ42021,13.32,4,2021,2021-12-31
+BSX,Boston Scientific,Language Complexity,CQ42021,12.83,4,2021,2021-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42021,12.25,4,2021,2021-12-31
+CVS,CVS Health,Language Complexity,CQ42021,14.05,4,2021,2021-12-31
+COR,Cencora,Language Complexity,CQ42021,,4,2021,2021-12-31
+CI,Cigna,Language Complexity,CQ42021,15.33,4,2021,2021-12-31
+DVA,DaVita,Language Complexity,CQ42021,10.75,4,2021,2021-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42021,12.9,4,2021,2021-12-31
+LLY,Eli Lilly,Language Complexity,CQ42021,12.82,4,2021,2021-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42021,12.28,4,2021,2021-12-31
+HUM,Humana,Language Complexity,CQ42021,14.28,4,2021,2021-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42021,13.2,4,2021,2021-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42021,13.98,4,2021,2021-12-31
+LH,Labcorp,Language Complexity,CQ42021,12.01,4,2021,2021-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42021,14.95,4,2021,2021-12-31
+MDT,Medtronic,Language Complexity,CQ42021,12.11,4,2021,2021-12-31
+MRK,Merck & Co.,Language Complexity,CQ42021,13.66,4,2021,2021-12-31
+PFE,Pfizer,Language Complexity,CQ42021,12.79,4,2021,2021-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42021,12.32,4,2021,2021-12-31
+WAT,Waters Corporation,Language Complexity,CQ42021,12.09,4,2021,2021-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42021,11.05,4,2021,2021-12-31
+MMM,3M,Language Complexity,CQ42021,11.69,4,2021,2021-12-31
+AME,Ametek,Language Complexity,CQ42021,11.92,4,2021,2021-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42021,11.98,4,2021,2021-12-31
+BA,Boeing,Language Complexity,CQ42021,13.02,4,2021,2021-12-31
+CSX,CSX Corporation,Language Complexity,CQ42021,11.98,4,2021,2021-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42021,11.82,4,2021,2021-12-31
+CTAS,Cintas,Language Complexity,CQ42021,11.16,4,2021,2021-12-31
+CMI,Cummins,Language Complexity,CQ42021,12.45,4,2021,2021-12-31
+DE,Deere & Company,Language Complexity,CQ42021,12.54,4,2021,2021-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42021,11.83,4,2021,2021-12-31
+EMR,Emerson Electric,Language Complexity,CQ42021,12.92,4,2021,2021-12-31
+EFX,Equifax,Language Complexity,CQ42021,13.15,4,2021,2021-12-31
+EXPD,Expeditors International,Language Complexity,CQ42021,,4,2021,2021-12-31
+FDX,FedEx,Language Complexity,CQ42021,13.22,4,2021,2021-12-31
+GE,GE Aerospace,Language Complexity,CQ42021,12.4,4,2021,2021-12-31
+GD,General Dynamics,Language Complexity,CQ42021,10.86,4,2021,2021-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42021,12.23,4,2021,2021-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42021,13.18,4,2021,2021-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42021,12.36,4,2021,2021-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42021,12.51,4,2021,2021-12-31
+PCAR,Paccar,Language Complexity,CQ42021,10.66,4,2021,2021-12-31
+RTX,RTX Corporation,Language Complexity,CQ42021,10.78,4,2021,2021-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42021,12.18,4,2021,2021-12-31
+ROP,Roper Technologies,Language Complexity,CQ42021,11.25,4,2021,2021-12-31
+SNA,Snap-on,Language Complexity,CQ42021,11.27,4,2021,2021-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42021,14.03,4,2021,2021-12-31
+UPS,United Parcel Service,Language Complexity,CQ42021,11.15,4,2021,2021-12-31
+WM,Waste Management,Language Complexity,CQ42021,12.1,4,2021,2021-12-31
+ACN,Accenture,Language Complexity,CQ42021,12.41,4,2021,2021-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42021,14.28,4,2021,2021-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42021,11.41,4,2021,2021-12-31
+APH,Amphenol,Language Complexity,CQ42021,13.67,4,2021,2021-12-31
+ADI,Analog Devices,Language Complexity,CQ42021,12.45,4,2021,2021-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42021,11.82,4,2021,2021-12-31
+AMAT,Applied Materials,Language Complexity,CQ42021,10.99,4,2021,2021-12-31
+ADSK,Autodesk,Language Complexity,CQ42021,12.6,4,2021,2021-12-31
+AVGO,Broadcom,Language Complexity,CQ42021,11.07,4,2021,2021-12-31
+CSCO,Cisco,Language Complexity,CQ42021,11.38,4,2021,2021-12-31
+CTSH,Cognizant,Language Complexity,CQ42021,13.93,4,2021,2021-12-31
+HPQ,HP Inc.,Language Complexity,CQ42021,12.39,4,2021,2021-12-31
+IBM,IBM,Language Complexity,CQ42021,12.05,4,2021,2021-12-31
+INTC,Intel,Language Complexity,CQ42021,12.82,4,2021,2021-12-31
+INTU,Intuit,Language Complexity,CQ42021,12.2,4,2021,2021-12-31
+LRCX,Lam Research,Language Complexity,CQ42021,11.57,4,2021,2021-12-31
+MU,Micron Technology,Language Complexity,CQ42021,11.25,4,2021,2021-12-31
+MSFT,Microsoft,Language Complexity,CQ42021,14.02,4,2021,2021-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42021,11.56,4,2021,2021-12-31
+NTAP,NetApp,Language Complexity,CQ42021,12.17,4,2021,2021-12-31
+NVDA,Nvidia,Language Complexity,CQ42021,12.59,4,2021,2021-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42021,10.65,4,2021,2021-12-31
+TXN,Texas Instruments,Language Complexity,CQ42021,9.73,4,2021,2021-12-31
+APD,Air Products,Language Complexity,CQ42021,11.9,4,2021,2021-12-31
+AVY,Avery Dennison,Language Complexity,CQ42021,12.67,4,2021,2021-12-31
+ECL,Ecolab,Language Complexity,CQ42021,11.4,4,2021,2021-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42021,13.57,4,2021,2021-12-31
+IP,International Paper,Language Complexity,CQ42021,11.82,4,2021,2021-12-31
+LIN,Linde plc,Language Complexity,CQ42021,12.17,4,2021,2021-12-31
+NEM,Newmont,Language Complexity,CQ42021,13.15,4,2021,2021-12-31
+NUE,Nucor,Language Complexity,CQ42021,12.39,4,2021,2021-12-31
+AMT,American Tower,Language Complexity,CQ42021,13.61,4,2021,2021-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42021,12.92,4,2021,2021-12-31
+EQR,Equity Residential,Language Complexity,CQ42021,11.59,4,2021,2021-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42021,11.44,4,2021,2021-12-31
+IRM,Iron Mountain,Language Complexity,CQ42021,13.59,4,2021,2021-12-31
+PLD,Prologis,Language Complexity,CQ42021,10.11,4,2021,2021-12-31
+VTR,Ventas,Language Complexity,CQ42021,12.39,4,2021,2021-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42021,11.67,4,2021,2021-12-31
+AES,AES Corporation,Language Complexity,CQ42021,12.54,4,2021,2021-12-31
+AEE,Ameren,Language Complexity,CQ42021,14.0,4,2021,2021-12-31
+AEP,American Electric Power,Language Complexity,CQ42021,13.89,4,2021,2021-12-31
+CMS,CMS Energy,Language Complexity,CQ42021,12.49,4,2021,2021-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42021,12.65,4,2021,2021-12-31
+DUK,Duke Energy,Language Complexity,CQ42021,13.03,4,2021,2021-12-31
+EIX,Edison International,Language Complexity,CQ42021,14.0,4,2021,2021-12-31
+ETR,Entergy,Language Complexity,CQ42021,13.56,4,2021,2021-12-31
+EXC,Exelon,Language Complexity,CQ42021,13.34,4,2021,2021-12-31
+NEE,NextEra Energy,Language Complexity,CQ42021,16.19,4,2021,2021-12-31
+SO,Southern Company,Language Complexity,CQ42021,11.39,4,2021,2021-12-31
+XEL,Xcel Energy,Language Complexity,CQ42021,12.68,4,2021,2021-12-31
+T,AT&T,Net Positivity,CQ12022,1.06,1,2022,2022-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12022,1.85,1,2022,2022-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12022,,1,2022,2022-03-31
+META,Meta Platforms,Net Positivity,CQ12022,0.68,1,2022,2022-03-31
+NFLX,Netflix,Net Positivity,CQ12022,1.29,1,2022,2022-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12022,1.85,1,2022,2022-03-31
+OMC,Omnicom Group,Net Positivity,CQ12022,1.55,1,2022,2022-03-31
+VZ,Verizon,Net Positivity,CQ12022,1.91,1,2022,2022-03-31
+AMZN,Amazon,Net Positivity,CQ12022,1.51,1,2022,2022-03-31
+AZO,AutoZone,Net Positivity,CQ12022,1.85,1,2022,2022-03-31
+BBY,Best Buy,Net Positivity,CQ12022,1.37,1,2022,2022-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12022,1.03,1,2022,2022-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12022,1.84,1,2022,2022-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12022,0.9,1,2022,2022-03-31
+F,Ford Motor Company,Net Positivity,CQ12022,1.74,1,2022,2022-03-31
+GM,General Motors,Net Positivity,CQ12022,1.37,1,2022,2022-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12022,2.73,1,2022,2022-03-31
+HAS,Hasbro,Net Positivity,CQ12022,1.53,1,2022,2022-03-31
+LOW,Lowe's,Net Positivity,CQ12022,1.98,1,2022,2022-03-31
+MCD,McDonald's,Net Positivity,CQ12022,1.95,1,2022,2022-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12022,2.33,1,2022,2022-03-31
+ROST,Ross Stores,Net Positivity,CQ12022,1.14,1,2022,2022-03-31
+TJX,TJX Companies,Net Positivity,CQ12022,1.8,1,2022,2022-03-31
+TGT,Target,Net Positivity,CQ12022,1.7,1,2022,2022-03-31
+MO,Altria,Net Positivity,CQ12022,0.52,1,2022,2022-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12022,1.52,1,2022,2022-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12022,0.65,1,2022,2022-03-31
+CLX,Clorox,Net Positivity,CQ12022,1.21,1,2022,2022-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12022,1.65,1,2022,2022-03-31
+COST,Costco,Net Positivity,CQ12022,0.74,1,2022,2022-03-31
+GIS,General Mills,Net Positivity,CQ12022,0.92,1,2022,2022-03-31
+HSY,Hershey Company,Net Positivity,CQ12022,1.5,1,2022,2022-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12022,0.79,1,2022,2022-03-31
+KR,Kroger,Net Positivity,CQ12022,1.93,1,2022,2022-03-31
+MKC,McCormick & Company,Net Positivity,CQ12022,0.85,1,2022,2022-03-31
+PEP,PepsiCo,Net Positivity,CQ12022,1.55,1,2022,2022-03-31
+PG,Procter & Gamble,Net Positivity,CQ12022,1.12,1,2022,2022-03-31
+SYY,Sysco,Net Positivity,CQ12022,1.35,1,2022,2022-03-31
+WMT,Walmart,Net Positivity,CQ12022,1.96,1,2022,2022-03-31
+APA,APA Corporation,Net Positivity,CQ12022,0.78,1,2022,2022-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12022,,1,2022,2022-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12022,0.9,1,2022,2022-03-31
+EOG,EOG Resources,Net Positivity,CQ12022,1.56,1,2022,2022-03-31
+XOM,ExxonMobil,Net Positivity,CQ12022,1.79,1,2022,2022-03-31
+HAL,Halliburton,Net Positivity,CQ12022,1.7,1,2022,2022-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12022,1.77,1,2022,2022-03-31
+SLB,Schlumberger,Net Positivity,CQ12022,1.62,1,2022,2022-03-31
+VLO,Valero Energy,Net Positivity,CQ12022,0.7,1,2022,2022-03-31
+AFL,Aflac,Net Positivity,CQ12022,0.94,1,2022,2022-03-31
+ALL,Allstate,Net Positivity,CQ12022,0.12,1,2022,2022-03-31
+AXP,American Express,Net Positivity,CQ12022,0.96,1,2022,2022-03-31
+AIG,American International Group,Net Positivity,CQ12022,1.33,1,2022,2022-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12022,1.83,1,2022,2022-03-31
+AON,Aon plc,Net Positivity,CQ12022,2.22,1,2022,2022-03-31
+BK,BNY Mellon,Net Positivity,CQ12022,0.74,1,2022,2022-03-31
+BAC,Bank of America,Net Positivity,CQ12022,1.01,1,2022,2022-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12022,,1,2022,2022-03-31
+BLK,BlackRock,Net Positivity,CQ12022,1.52,1,2022,2022-03-31
+CME,CME Group,Net Positivity,CQ12022,0.94,1,2022,2022-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12022,,1,2022,2022-03-31
+CB,Chubb Limited,Net Positivity,CQ12022,0.44,1,2022,2022-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12022,0.43,1,2022,2022-03-31
+C,Citigroup,Net Positivity,CQ12022,0.56,1,2022,2022-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12022,1.81,1,2022,2022-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12022,1.22,1,2022,2022-03-31
+FISV,Fiserv,Net Positivity,CQ12022,2.04,1,2022,2022-03-31
+GS,Goldman Sachs,Net Positivity,CQ12022,1.63,1,2022,2022-03-31
+HIG,Hartford Financial,Net Positivity,CQ12022,0.63,1,2022,2022-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12022,0.91,1,2022,2022-03-31
+IVZ,Invesco,Net Positivity,CQ12022,1.8,1,2022,2022-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12022,0.38,1,2022,2022-03-31
+KEY,KeyCorp,Net Positivity,CQ12022,1.06,1,2022,2022-03-31
+MA,Mastercard,Net Positivity,CQ12022,1.06,1,2022,2022-03-31
+MET,MetLife,Net Positivity,CQ12022,1.01,1,2022,2022-03-31
+MS,Morgan Stanley,Net Positivity,CQ12022,1.22,1,2022,2022-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12022,0.96,1,2022,2022-03-31
+NTRS,Northern Trust,Net Positivity,CQ12022,0.8,1,2022,2022-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12022,0.41,1,2022,2022-03-31
+PRU,Prudential Financial,Net Positivity,CQ12022,1.3,1,2022,2022-03-31
+RF,Regions Financial,Net Positivity,CQ12022,0.89,1,2022,2022-03-31
+SPGI,S&P Global,Net Positivity,CQ12022,1.12,1,2022,2022-03-31
+STT,State Street,Net Positivity,CQ12022,1.36,1,2022,2022-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12022,,1,2022,2022-03-31
+TRV,Travelers Companies,Net Positivity,CQ12022,0.84,1,2022,2022-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12022,0.87,1,2022,2022-03-31
+V,Visa,Net Positivity,CQ12022,1.36,1,2022,2022-03-31
+WFC,Wells Fargo,Net Positivity,CQ12022,1.19,1,2022,2022-03-31
+ABBV,AbbVie,Net Positivity,CQ12022,1.31,1,2022,2022-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12022,1.65,1,2022,2022-03-31
+A,Agilent Technologies,Net Positivity,CQ12022,1.66,1,2022,2022-03-31
+AMGN,Amgen,Net Positivity,CQ12022,,1,2022,2022-03-31
+BAX,Baxter International,Net Positivity,CQ12022,0.79,1,2022,2022-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12022,2.02,1,2022,2022-03-31
+BIIB,Biogen,Net Positivity,CQ12022,0.4,1,2022,2022-03-31
+BSX,Boston Scientific,Net Positivity,CQ12022,1.33,1,2022,2022-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12022,1.4,1,2022,2022-03-31
+CVS,CVS Health,Net Positivity,CQ12022,1.44,1,2022,2022-03-31
+COR,Cencora,Net Positivity,CQ12022,,1,2022,2022-03-31
+CI,Cigna,Net Positivity,CQ12022,1.67,1,2022,2022-03-31
+DVA,DaVita,Net Positivity,CQ12022,-0.2,1,2022,2022-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12022,1.24,1,2022,2022-03-31
+LLY,Eli Lilly,Net Positivity,CQ12022,0.67,1,2022,2022-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12022,0.84,1,2022,2022-03-31
+HUM,Humana,Net Positivity,CQ12022,1.41,1,2022,2022-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12022,0.84,1,2022,2022-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12022,1.64,1,2022,2022-03-31
+LH,Labcorp,Net Positivity,CQ12022,1.34,1,2022,2022-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12022,1.47,1,2022,2022-03-31
+MDT,Medtronic,Net Positivity,CQ12022,1.05,1,2022,2022-03-31
+MRK,Merck & Co.,Net Positivity,CQ12022,1.36,1,2022,2022-03-31
+PFE,Pfizer,Net Positivity,CQ12022,0.89,1,2022,2022-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12022,2.1,1,2022,2022-03-31
+WAT,Waters Corporation,Net Positivity,CQ12022,1.61,1,2022,2022-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12022,0.23,1,2022,2022-03-31
+MMM,3M,Net Positivity,CQ12022,0.95,1,2022,2022-03-31
+AME,Ametek,Net Positivity,CQ12022,1.64,1,2022,2022-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12022,1.38,1,2022,2022-03-31
+BA,Boeing,Net Positivity,CQ12022,0.62,1,2022,2022-03-31
+CSX,CSX Corporation,Net Positivity,CQ12022,1.02,1,2022,2022-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12022,0.96,1,2022,2022-03-31
+CTAS,Cintas,Net Positivity,CQ12022,1.29,1,2022,2022-03-31
+CMI,Cummins,Net Positivity,CQ12022,0.68,1,2022,2022-03-31
+DE,Deere & Company,Net Positivity,CQ12022,1.43,1,2022,2022-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12022,1.03,1,2022,2022-03-31
+EMR,Emerson Electric,Net Positivity,CQ12022,1.19,1,2022,2022-03-31
+EFX,Equifax,Net Positivity,CQ12022,1.06,1,2022,2022-03-31
+EXPD,Expeditors International,Net Positivity,CQ12022,,1,2022,2022-03-31
+FDX,FedEx,Net Positivity,CQ12022,1.66,1,2022,2022-03-31
+GE,GE Aerospace,Net Positivity,CQ12022,1.65,1,2022,2022-03-31
+GD,General Dynamics,Net Positivity,CQ12022,0.89,1,2022,2022-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12022,1.11,1,2022,2022-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12022,0.78,1,2022,2022-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12022,1.6,1,2022,2022-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12022,0.87,1,2022,2022-03-31
+PCAR,Paccar,Net Positivity,CQ12022,2.03,1,2022,2022-03-31
+RTX,RTX Corporation,Net Positivity,CQ12022,0.75,1,2022,2022-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12022,1.19,1,2022,2022-03-31
+ROP,Roper Technologies,Net Positivity,CQ12022,1.53,1,2022,2022-03-31
+SNA,Snap-on,Net Positivity,CQ12022,1.2,1,2022,2022-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12022,1.87,1,2022,2022-03-31
+UPS,United Parcel Service,Net Positivity,CQ12022,1.66,1,2022,2022-03-31
+WM,Waste Management,Net Positivity,CQ12022,1.11,1,2022,2022-03-31
+ACN,Accenture,Net Positivity,CQ12022,1.01,1,2022,2022-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12022,2.45,1,2022,2022-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12022,0.98,1,2022,2022-03-31
+APH,Amphenol,Net Positivity,CQ12022,1.36,1,2022,2022-03-31
+ADI,Analog Devices,Net Positivity,CQ12022,1.57,1,2022,2022-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12022,1.49,1,2022,2022-03-31
+AMAT,Applied Materials,Net Positivity,CQ12022,1.37,1,2022,2022-03-31
+ADSK,Autodesk,Net Positivity,CQ12022,1.51,1,2022,2022-03-31
+AVGO,Broadcom,Net Positivity,CQ12022,0.81,1,2022,2022-03-31
+CSCO,Cisco,Net Positivity,CQ12022,1.28,1,2022,2022-03-31
+CTSH,Cognizant,Net Positivity,CQ12022,1.42,1,2022,2022-03-31
+HPQ,HP Inc.,Net Positivity,CQ12022,1.08,1,2022,2022-03-31
+IBM,IBM,Net Positivity,CQ12022,0.94,1,2022,2022-03-31
+INTC,Intel,Net Positivity,CQ12022,2.16,1,2022,2022-03-31
+INTU,Intuit,Net Positivity,CQ12022,1.48,1,2022,2022-03-31
+LRCX,Lam Research,Net Positivity,CQ12022,0.31,1,2022,2022-03-31
+MU,Micron Technology,Net Positivity,CQ12022,1.1,1,2022,2022-03-31
+MSFT,Microsoft,Net Positivity,CQ12022,1.57,1,2022,2022-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12022,0.72,1,2022,2022-03-31
+NTAP,NetApp,Net Positivity,CQ12022,1.45,1,2022,2022-03-31
+NVDA,Nvidia,Net Positivity,CQ12022,1.52,1,2022,2022-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12022,1.28,1,2022,2022-03-31
+TXN,Texas Instruments,Net Positivity,CQ12022,1.01,1,2022,2022-03-31
+APD,Air Products,Net Positivity,CQ12022,0.51,1,2022,2022-03-31
+AVY,Avery Dennison,Net Positivity,CQ12022,0.88,1,2022,2022-03-31
+ECL,Ecolab,Net Positivity,CQ12022,1.45,1,2022,2022-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12022,1.73,1,2022,2022-03-31
+IP,International Paper,Net Positivity,CQ12022,0.3,1,2022,2022-03-31
+LIN,Linde plc,Net Positivity,CQ12022,0.54,1,2022,2022-03-31
+NEM,Newmont,Net Positivity,CQ12022,1.36,1,2022,2022-03-31
+NUE,Nucor,Net Positivity,CQ12022,1.4,1,2022,2022-03-31
+AMT,American Tower,Net Positivity,CQ12022,1.0,1,2022,2022-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12022,0.89,1,2022,2022-03-31
+EQR,Equity Residential,Net Positivity,CQ12022,0.82,1,2022,2022-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12022,0.76,1,2022,2022-03-31
+IRM,Iron Mountain,Net Positivity,CQ12022,1.81,1,2022,2022-03-31
+PLD,Prologis,Net Positivity,CQ12022,0.34,1,2022,2022-03-31
+VTR,Ventas,Net Positivity,CQ12022,1.97,1,2022,2022-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12022,0.92,1,2022,2022-03-31
+AES,AES Corporation,Net Positivity,CQ12022,1.14,1,2022,2022-03-31
+AEE,Ameren,Net Positivity,CQ12022,1.48,1,2022,2022-03-31
+AEP,American Electric Power,Net Positivity,CQ12022,1.34,1,2022,2022-03-31
+CMS,CMS Energy,Net Positivity,CQ12022,1.23,1,2022,2022-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12022,1.21,1,2022,2022-03-31
+DUK,Duke Energy,Net Positivity,CQ12022,1.43,1,2022,2022-03-31
+EIX,Edison International,Net Positivity,CQ12022,0.62,1,2022,2022-03-31
+ETR,Entergy,Net Positivity,CQ12022,1.47,1,2022,2022-03-31
+EXC,Exelon,Net Positivity,CQ12022,,1,2022,2022-03-31
+NEE,NextEra Energy,Net Positivity,CQ12022,1.75,1,2022,2022-03-31
+SO,Southern Company,Net Positivity,CQ12022,0.34,1,2022,2022-03-31
+XEL,Xcel Energy,Net Positivity,CQ12022,0.77,1,2022,2022-03-31
+T,AT&T,Numeric Transeprency,CQ12022,1.64,1,2022,2022-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12022,1.99,1,2022,2022-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12022,,1,2022,2022-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12022,1.51,1,2022,2022-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12022,1.18,1,2022,2022-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12022,3.33,1,2022,2022-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12022,2.81,1,2022,2022-03-31
+VZ,Verizon,Numeric Transeprency,CQ12022,3.23,1,2022,2022-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12022,1.82,1,2022,2022-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12022,2.29,1,2022,2022-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12022,2.34,1,2022,2022-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12022,2.62,1,2022,2022-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12022,2.2,1,2022,2022-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12022,1.55,1,2022,2022-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12022,1.48,1,2022,2022-03-31
+GM,General Motors,Numeric Transeprency,CQ12022,2.15,1,2022,2022-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12022,3.52,1,2022,2022-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12022,2.42,1,2022,2022-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12022,2.6,1,2022,2022-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12022,2.39,1,2022,2022-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12022,1.56,1,2022,2022-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12022,3.24,1,2022,2022-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12022,2.23,1,2022,2022-03-31
+TGT,Target,Numeric Transeprency,CQ12022,1.55,1,2022,2022-03-31
+MO,Altria,Numeric Transeprency,CQ12022,2.06,1,2022,2022-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12022,2.34,1,2022,2022-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12022,1.2,1,2022,2022-03-31
+CLX,Clorox,Numeric Transeprency,CQ12022,1.17,1,2022,2022-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12022,1.85,1,2022,2022-03-31
+COST,Costco,Numeric Transeprency,CQ12022,4.14,1,2022,2022-03-31
+GIS,General Mills,Numeric Transeprency,CQ12022,0.79,1,2022,2022-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12022,0.51,1,2022,2022-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12022,1.0,1,2022,2022-03-31
+KR,Kroger,Numeric Transeprency,CQ12022,2.26,1,2022,2022-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12022,1.72,1,2022,2022-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12022,1.15,1,2022,2022-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12022,1.56,1,2022,2022-03-31
+SYY,Sysco,Numeric Transeprency,CQ12022,1.54,1,2022,2022-03-31
+WMT,Walmart,Numeric Transeprency,CQ12022,1.75,1,2022,2022-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12022,2.57,1,2022,2022-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12022,,1,2022,2022-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12022,3.35,1,2022,2022-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12022,2.25,1,2022,2022-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12022,1.48,1,2022,2022-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12022,2.24,1,2022,2022-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12022,2.26,1,2022,2022-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12022,2.16,1,2022,2022-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12022,2.99,1,2022,2022-03-31
+AFL,Aflac,Numeric Transeprency,CQ12022,2.61,1,2022,2022-03-31
+ALL,Allstate,Numeric Transeprency,CQ12022,3.02,1,2022,2022-03-31
+AXP,American Express,Numeric Transeprency,CQ12022,3.38,1,2022,2022-03-31
+AIG,American International Group,Numeric Transeprency,CQ12022,3.99,1,2022,2022-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12022,2.59,1,2022,2022-03-31
+AON,Aon plc,Numeric Transeprency,CQ12022,2.23,1,2022,2022-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12022,2.9,1,2022,2022-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12022,3.46,1,2022,2022-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12022,,1,2022,2022-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12022,3.13,1,2022,2022-03-31
+CME,CME Group,Numeric Transeprency,CQ12022,2.39,1,2022,2022-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12022,,1,2022,2022-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12022,2.68,1,2022,2022-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12022,3.22,1,2022,2022-03-31
+C,Citigroup,Numeric Transeprency,CQ12022,2.04,1,2022,2022-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12022,2.55,1,2022,2022-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12022,2.87,1,2022,2022-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12022,4.21,1,2022,2022-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12022,2.65,1,2022,2022-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12022,3.82,1,2022,2022-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12022,2.15,1,2022,2022-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12022,3.02,1,2022,2022-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12022,2.4,1,2022,2022-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12022,2.99,1,2022,2022-03-31
+MA,Mastercard,Numeric Transeprency,CQ12022,2.36,1,2022,2022-03-31
+MET,MetLife,Numeric Transeprency,CQ12022,4.3,1,2022,2022-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12022,2.97,1,2022,2022-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12022,3.31,1,2022,2022-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12022,3.47,1,2022,2022-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12022,3.64,1,2022,2022-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12022,2.1,1,2022,2022-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12022,3.0,1,2022,2022-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12022,3.16,1,2022,2022-03-31
+STT,State Street,Numeric Transeprency,CQ12022,3.09,1,2022,2022-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12022,,1,2022,2022-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12022,2.68,1,2022,2022-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12022,2.49,1,2022,2022-03-31
+V,Visa,Numeric Transeprency,CQ12022,3.21,1,2022,2022-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12022,2.38,1,2022,2022-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12022,2.09,1,2022,2022-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12022,1.91,1,2022,2022-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12022,1.89,1,2022,2022-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12022,,1,2022,2022-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12022,2.7,1,2022,2022-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12022,2.07,1,2022,2022-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12022,2.46,1,2022,2022-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12022,5.33,1,2022,2022-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12022,1.73,1,2022,2022-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12022,2.71,1,2022,2022-03-31
+COR,Cencora,Numeric Transeprency,CQ12022,,1,2022,2022-03-31
+CI,Cigna,Numeric Transeprency,CQ12022,3.03,1,2022,2022-03-31
+DVA,DaVita,Numeric Transeprency,CQ12022,2.45,1,2022,2022-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12022,2.59,1,2022,2022-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12022,1.93,1,2022,2022-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12022,2.88,1,2022,2022-03-31
+HUM,Humana,Numeric Transeprency,CQ12022,2.38,1,2022,2022-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12022,3.32,1,2022,2022-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12022,3.22,1,2022,2022-03-31
+LH,Labcorp,Numeric Transeprency,CQ12022,3.16,1,2022,2022-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12022,3.05,1,2022,2022-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12022,1.36,1,2022,2022-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12022,1.73,1,2022,2022-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12022,2.76,1,2022,2022-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12022,3.95,1,2022,2022-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12022,3.32,1,2022,2022-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12022,2.57,1,2022,2022-03-31
+MMM,3M,Numeric Transeprency,CQ12022,2.75,1,2022,2022-03-31
+AME,Ametek,Numeric Transeprency,CQ12022,3.66,1,2022,2022-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12022,1.2,1,2022,2022-03-31
+BA,Boeing,Numeric Transeprency,CQ12022,2.45,1,2022,2022-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12022,1.47,1,2022,2022-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12022,2.86,1,2022,2022-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12022,1.8,1,2022,2022-03-31
+CMI,Cummins,Numeric Transeprency,CQ12022,3.68,1,2022,2022-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12022,2.07,1,2022,2022-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12022,2.29,1,2022,2022-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12022,1.91,1,2022,2022-03-31
+EFX,Equifax,Numeric Transeprency,CQ12022,4.4,1,2022,2022-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12022,,1,2022,2022-03-31
+FDX,FedEx,Numeric Transeprency,CQ12022,1.61,1,2022,2022-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12022,3.0,1,2022,2022-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12022,4.87,1,2022,2022-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12022,4.05,1,2022,2022-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12022,2.64,1,2022,2022-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12022,2.31,1,2022,2022-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12022,3.76,1,2022,2022-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12022,2.52,1,2022,2022-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12022,3.32,1,2022,2022-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12022,2.14,1,2022,2022-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12022,2.99,1,2022,2022-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12022,4.07,1,2022,2022-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12022,3.22,1,2022,2022-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12022,4.32,1,2022,2022-03-31
+WM,Waste Management,Numeric Transeprency,CQ12022,2.8,1,2022,2022-03-31
+ACN,Accenture,Numeric Transeprency,CQ12022,2.06,1,2022,2022-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12022,1.57,1,2022,2022-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12022,2.49,1,2022,2022-03-31
+APH,Amphenol,Numeric Transeprency,CQ12022,2.89,1,2022,2022-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12022,2.0,1,2022,2022-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12022,1.92,1,2022,2022-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12022,3.15,1,2022,2022-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12022,1.81,1,2022,2022-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12022,3.68,1,2022,2022-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12022,2.71,1,2022,2022-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12022,2.41,1,2022,2022-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12022,2.1,1,2022,2022-03-31
+IBM,IBM,Numeric Transeprency,CQ12022,2.98,1,2022,2022-03-31
+INTC,Intel,Numeric Transeprency,CQ12022,2.42,1,2022,2022-03-31
+INTU,Intuit,Numeric Transeprency,CQ12022,1.33,1,2022,2022-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12022,1.94,1,2022,2022-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12022,0.88,1,2022,2022-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12022,2.48,1,2022,2022-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12022,3.48,1,2022,2022-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12022,2.06,1,2022,2022-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12022,1.52,1,2022,2022-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12022,2.12,1,2022,2022-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12022,2.73,1,2022,2022-03-31
+APD,Air Products,Numeric Transeprency,CQ12022,2.41,1,2022,2022-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12022,1.88,1,2022,2022-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12022,2.42,1,2022,2022-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12022,3.66,1,2022,2022-03-31
+IP,International Paper,Numeric Transeprency,CQ12022,2.66,1,2022,2022-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12022,2.19,1,2022,2022-03-31
+NEM,Newmont,Numeric Transeprency,CQ12022,2.3,1,2022,2022-03-31
+NUE,Nucor,Numeric Transeprency,CQ12022,2.16,1,2022,2022-03-31
+AMT,American Tower,Numeric Transeprency,CQ12022,3.4,1,2022,2022-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12022,2.68,1,2022,2022-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12022,2.31,1,2022,2022-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12022,2.76,1,2022,2022-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12022,2.83,1,2022,2022-03-31
+PLD,Prologis,Numeric Transeprency,CQ12022,3.18,1,2022,2022-03-31
+VTR,Ventas,Numeric Transeprency,CQ12022,2.14,1,2022,2022-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12022,2.6,1,2022,2022-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12022,3.89,1,2022,2022-03-31
+AEE,Ameren,Numeric Transeprency,CQ12022,3.06,1,2022,2022-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12022,3.04,1,2022,2022-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12022,3.29,1,2022,2022-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12022,3.32,1,2022,2022-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12022,3.65,1,2022,2022-03-31
+EIX,Edison International,Numeric Transeprency,CQ12022,2.17,1,2022,2022-03-31
+ETR,Entergy,Numeric Transeprency,CQ12022,2.04,1,2022,2022-03-31
+EXC,Exelon,Numeric Transeprency,CQ12022,,1,2022,2022-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12022,3.66,1,2022,2022-03-31
+SO,Southern Company,Numeric Transeprency,CQ12022,2.85,1,2022,2022-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12022,3.51,1,2022,2022-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12022,38.89,1,2022,2022-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12022,20.0,1,2022,2022-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12022,,1,2022,2022-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12022,15.38,1,2022,2022-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12022,0.0,1,2022,2022-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12022,66.67,1,2022,2022-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12022,50.0,1,2022,2022-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12022,32.0,1,2022,2022-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12022,20.93,1,2022,2022-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12022,12.0,1,2022,2022-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12022,39.29,1,2022,2022-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12022,12.9,1,2022,2022-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12022,40.63,1,2022,2022-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12022,68.97,1,2022,2022-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12022,4.76,1,2022,2022-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12022,36.36,1,2022,2022-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12022,46.15,1,2022,2022-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12022,69.23,1,2022,2022-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12022,25.81,1,2022,2022-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12022,18.18,1,2022,2022-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12022,44.0,1,2022,2022-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12022,28.0,1,2022,2022-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12022,30.0,1,2022,2022-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12022,29.41,1,2022,2022-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12022,56.25,1,2022,2022-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12022,43.75,1,2022,2022-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12022,47.06,1,2022,2022-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12022,48.0,1,2022,2022-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12022,35.29,1,2022,2022-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12022,55.0,1,2022,2022-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12022,68.42,1,2022,2022-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12022,50.0,1,2022,2022-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12022,25.93,1,2022,2022-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12022,53.85,1,2022,2022-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12022,47.62,1,2022,2022-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12022,52.63,1,2022,2022-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12022,56.25,1,2022,2022-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12022,28.57,1,2022,2022-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12022,38.46,1,2022,2022-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12022,,1,2022,2022-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12022,29.03,1,2022,2022-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12022,34.62,1,2022,2022-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12022,30.77,1,2022,2022-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12022,26.09,1,2022,2022-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12022,31.03,1,2022,2022-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12022,57.89,1,2022,2022-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12022,15.38,1,2022,2022-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12022,27.78,1,2022,2022-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12022,48.0,1,2022,2022-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12022,18.75,1,2022,2022-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12022,50.0,1,2022,2022-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12022,55.56,1,2022,2022-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12022,32.0,1,2022,2022-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12022,,1,2022,2022-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12022,28.57,1,2022,2022-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12022,61.11,1,2022,2022-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12022,,1,2022,2022-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12022,42.86,1,2022,2022-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12022,60.0,1,2022,2022-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12022,54.55,1,2022,2022-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12022,23.33,1,2022,2022-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12022,31.82,1,2022,2022-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12022,24.14,1,2022,2022-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12022,46.15,1,2022,2022-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12022,58.82,1,2022,2022-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12022,64.29,1,2022,2022-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12022,36.0,1,2022,2022-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12022,47.62,1,2022,2022-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12022,42.42,1,2022,2022-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12022,30.77,1,2022,2022-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12022,60.0,1,2022,2022-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12022,41.18,1,2022,2022-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12022,57.14,1,2022,2022-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12022,42.31,1,2022,2022-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12022,56.25,1,2022,2022-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12022,37.5,1,2022,2022-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12022,,1,2022,2022-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12022,35.0,1,2022,2022-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12022,44.44,1,2022,2022-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12022,20.59,1,2022,2022-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12022,30.43,1,2022,2022-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12022,55.0,1,2022,2022-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12022,23.81,1,2022,2022-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12022,37.5,1,2022,2022-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12022,,1,2022,2022-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12022,50.0,1,2022,2022-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12022,22.58,1,2022,2022-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12022,32.0,1,2022,2022-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12022,55.0,1,2022,2022-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12022,38.46,1,2022,2022-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12022,,1,2022,2022-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12022,63.64,1,2022,2022-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12022,66.67,1,2022,2022-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12022,25.0,1,2022,2022-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12022,47.37,1,2022,2022-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12022,30.77,1,2022,2022-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12022,60.87,1,2022,2022-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12022,23.53,1,2022,2022-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12022,47.06,1,2022,2022-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12022,53.33,1,2022,2022-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12022,50.0,1,2022,2022-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12022,26.92,1,2022,2022-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12022,31.82,1,2022,2022-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12022,50.0,1,2022,2022-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12022,35.0,1,2022,2022-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12022,38.46,1,2022,2022-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12022,32.14,1,2022,2022-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12022,55.56,1,2022,2022-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12022,52.63,1,2022,2022-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12022,50.0,1,2022,2022-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12022,62.96,1,2022,2022-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12022,46.43,1,2022,2022-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12022,66.67,1,2022,2022-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12022,24.0,1,2022,2022-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12022,34.78,1,2022,2022-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12022,42.86,1,2022,2022-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12022,37.5,1,2022,2022-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12022,68.42,1,2022,2022-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12022,,1,2022,2022-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12022,40.0,1,2022,2022-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12022,42.11,1,2022,2022-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12022,66.67,1,2022,2022-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12022,60.0,1,2022,2022-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12022,59.26,1,2022,2022-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12022,50.0,1,2022,2022-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12022,60.0,1,2022,2022-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12022,61.11,1,2022,2022-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12022,29.17,1,2022,2022-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12022,50.0,1,2022,2022-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12022,55.56,1,2022,2022-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12022,50.0,1,2022,2022-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12022,62.5,1,2022,2022-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12022,21.74,1,2022,2022-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12022,34.48,1,2022,2022-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12022,58.82,1,2022,2022-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12022,80.0,1,2022,2022-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12022,28.0,1,2022,2022-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12022,21.43,1,2022,2022-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12022,41.38,1,2022,2022-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12022,38.1,1,2022,2022-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12022,31.03,1,2022,2022-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12022,35.71,1,2022,2022-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12022,47.06,1,2022,2022-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12022,54.55,1,2022,2022-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12022,25.0,1,2022,2022-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12022,61.9,1,2022,2022-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12022,16.67,1,2022,2022-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12022,14.29,1,2022,2022-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12022,76.92,1,2022,2022-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12022,65.22,1,2022,2022-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12022,10.81,1,2022,2022-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12022,20.0,1,2022,2022-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12022,23.33,1,2022,2022-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12022,56.52,1,2022,2022-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12022,58.33,1,2022,2022-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12022,68.75,1,2022,2022-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12022,55.56,1,2022,2022-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12022,64.29,1,2022,2022-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12022,21.05,1,2022,2022-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12022,38.46,1,2022,2022-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12022,43.75,1,2022,2022-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12022,40.0,1,2022,2022-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12022,25.0,1,2022,2022-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12022,63.64,1,2022,2022-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12022,100.0,1,2022,2022-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12022,60.0,1,2022,2022-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12022,77.78,1,2022,2022-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12022,54.55,1,2022,2022-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12022,26.67,1,2022,2022-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12022,35.0,1,2022,2022-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12022,33.33,1,2022,2022-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12022,35.29,1,2022,2022-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12022,31.25,1,2022,2022-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12022,18.75,1,2022,2022-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12022,,1,2022,2022-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12022,30.0,1,2022,2022-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12022,35.29,1,2022,2022-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12022,37.5,1,2022,2022-03-31
+T,AT&T,Language Complexity,CQ12022,12.25,1,2022,2022-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12022,12.54,1,2022,2022-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12022,,1,2022,2022-03-31
+META,Meta Platforms,Language Complexity,CQ12022,12.45,1,2022,2022-03-31
+NFLX,Netflix,Language Complexity,CQ12022,10.73,1,2022,2022-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12022,14.82,1,2022,2022-03-31
+OMC,Omnicom Group,Language Complexity,CQ12022,13.33,1,2022,2022-03-31
+VZ,Verizon,Language Complexity,CQ12022,12.16,1,2022,2022-03-31
+AMZN,Amazon,Language Complexity,CQ12022,12.91,1,2022,2022-03-31
+AZO,AutoZone,Language Complexity,CQ12022,12.62,1,2022,2022-03-31
+BBY,Best Buy,Language Complexity,CQ12022,13.12,1,2022,2022-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12022,13.12,1,2022,2022-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12022,12.14,1,2022,2022-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12022,11.12,1,2022,2022-03-31
+F,Ford Motor Company,Language Complexity,CQ12022,10.8,1,2022,2022-03-31
+GM,General Motors,Language Complexity,CQ12022,12.83,1,2022,2022-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12022,12.67,1,2022,2022-03-31
+HAS,Hasbro,Language Complexity,CQ12022,12.68,1,2022,2022-03-31
+LOW,Lowe's,Language Complexity,CQ12022,13.28,1,2022,2022-03-31
+MCD,McDonald's,Language Complexity,CQ12022,13.13,1,2022,2022-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12022,13.79,1,2022,2022-03-31
+ROST,Ross Stores,Language Complexity,CQ12022,12.86,1,2022,2022-03-31
+TJX,TJX Companies,Language Complexity,CQ12022,11.96,1,2022,2022-03-31
+TGT,Target,Language Complexity,CQ12022,12.27,1,2022,2022-03-31
+MO,Altria,Language Complexity,CQ12022,14.0,1,2022,2022-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12022,11.95,1,2022,2022-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12022,13.0,1,2022,2022-03-31
+CLX,Clorox,Language Complexity,CQ12022,10.83,1,2022,2022-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12022,12.89,1,2022,2022-03-31
+COST,Costco,Language Complexity,CQ12022,10.56,1,2022,2022-03-31
+GIS,General Mills,Language Complexity,CQ12022,10.28,1,2022,2022-03-31
+HSY,Hershey Company,Language Complexity,CQ12022,10.78,1,2022,2022-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12022,11.34,1,2022,2022-03-31
+KR,Kroger,Language Complexity,CQ12022,13.67,1,2022,2022-03-31
+MKC,McCormick & Company,Language Complexity,CQ12022,12.78,1,2022,2022-03-31
+PEP,PepsiCo,Language Complexity,CQ12022,11.02,1,2022,2022-03-31
+PG,Procter & Gamble,Language Complexity,CQ12022,13.03,1,2022,2022-03-31
+SYY,Sysco,Language Complexity,CQ12022,12.34,1,2022,2022-03-31
+WMT,Walmart,Language Complexity,CQ12022,12.09,1,2022,2022-03-31
+APA,APA Corporation,Language Complexity,CQ12022,11.52,1,2022,2022-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12022,,1,2022,2022-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12022,11.04,1,2022,2022-03-31
+EOG,EOG Resources,Language Complexity,CQ12022,13.0,1,2022,2022-03-31
+XOM,ExxonMobil,Language Complexity,CQ12022,13.62,1,2022,2022-03-31
+HAL,Halliburton,Language Complexity,CQ12022,13.09,1,2022,2022-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12022,13.8,1,2022,2022-03-31
+SLB,Schlumberger,Language Complexity,CQ12022,13.81,1,2022,2022-03-31
+VLO,Valero Energy,Language Complexity,CQ12022,10.83,1,2022,2022-03-31
+AFL,Aflac,Language Complexity,CQ12022,13.58,1,2022,2022-03-31
+ALL,Allstate,Language Complexity,CQ12022,14.23,1,2022,2022-03-31
+AXP,American Express,Language Complexity,CQ12022,11.93,1,2022,2022-03-31
+AIG,American International Group,Language Complexity,CQ12022,14.94,1,2022,2022-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12022,12.1,1,2022,2022-03-31
+AON,Aon plc,Language Complexity,CQ12022,14.27,1,2022,2022-03-31
+BK,BNY Mellon,Language Complexity,CQ12022,12.32,1,2022,2022-03-31
+BAC,Bank of America,Language Complexity,CQ12022,11.61,1,2022,2022-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12022,,1,2022,2022-03-31
+BLK,BlackRock,Language Complexity,CQ12022,15.43,1,2022,2022-03-31
+CME,CME Group,Language Complexity,CQ12022,11.25,1,2022,2022-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12022,,1,2022,2022-03-31
+CB,Chubb Limited,Language Complexity,CQ12022,11.58,1,2022,2022-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12022,12.53,1,2022,2022-03-31
+C,Citigroup,Language Complexity,CQ12022,11.59,1,2022,2022-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12022,12.05,1,2022,2022-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12022,13.99,1,2022,2022-03-31
+FISV,Fiserv,Language Complexity,CQ12022,13.73,1,2022,2022-03-31
+GS,Goldman Sachs,Language Complexity,CQ12022,12.62,1,2022,2022-03-31
+HIG,Hartford Financial,Language Complexity,CQ12022,12.72,1,2022,2022-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12022,12.76,1,2022,2022-03-31
+IVZ,Invesco,Language Complexity,CQ12022,11.96,1,2022,2022-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12022,10.96,1,2022,2022-03-31
+KEY,KeyCorp,Language Complexity,CQ12022,11.3,1,2022,2022-03-31
+MA,Mastercard,Language Complexity,CQ12022,11.96,1,2022,2022-03-31
+MET,MetLife,Language Complexity,CQ12022,12.44,1,2022,2022-03-31
+MS,Morgan Stanley,Language Complexity,CQ12022,11.02,1,2022,2022-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12022,14.1,1,2022,2022-03-31
+NTRS,Northern Trust,Language Complexity,CQ12022,11.11,1,2022,2022-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12022,11.25,1,2022,2022-03-31
+PRU,Prudential Financial,Language Complexity,CQ12022,13.36,1,2022,2022-03-31
+RF,Regions Financial,Language Complexity,CQ12022,11.77,1,2022,2022-03-31
+SPGI,S&P Global,Language Complexity,CQ12022,12.6,1,2022,2022-03-31
+STT,State Street,Language Complexity,CQ12022,12.75,1,2022,2022-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12022,,1,2022,2022-03-31
+TRV,Travelers Companies,Language Complexity,CQ12022,12.85,1,2022,2022-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12022,11.37,1,2022,2022-03-31
+V,Visa,Language Complexity,CQ12022,12.58,1,2022,2022-03-31
+WFC,Wells Fargo,Language Complexity,CQ12022,13.2,1,2022,2022-03-31
+ABBV,AbbVie,Language Complexity,CQ12022,12.75,1,2022,2022-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12022,12.12,1,2022,2022-03-31
+A,Agilent Technologies,Language Complexity,CQ12022,10.71,1,2022,2022-03-31
+AMGN,Amgen,Language Complexity,CQ12022,,1,2022,2022-03-31
+BAX,Baxter International,Language Complexity,CQ12022,13.46,1,2022,2022-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12022,13.91,1,2022,2022-03-31
+BIIB,Biogen,Language Complexity,CQ12022,14.14,1,2022,2022-03-31
+BSX,Boston Scientific,Language Complexity,CQ12022,12.71,1,2022,2022-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12022,11.68,1,2022,2022-03-31
+CVS,CVS Health,Language Complexity,CQ12022,13.67,1,2022,2022-03-31
+COR,Cencora,Language Complexity,CQ12022,,1,2022,2022-03-31
+CI,Cigna,Language Complexity,CQ12022,14.86,1,2022,2022-03-31
+DVA,DaVita,Language Complexity,CQ12022,10.74,1,2022,2022-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12022,11.98,1,2022,2022-03-31
+LLY,Eli Lilly,Language Complexity,CQ12022,12.2,1,2022,2022-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12022,12.72,1,2022,2022-03-31
+HUM,Humana,Language Complexity,CQ12022,14.89,1,2022,2022-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12022,13.8,1,2022,2022-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12022,15.2,1,2022,2022-03-31
+LH,Labcorp,Language Complexity,CQ12022,12.62,1,2022,2022-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12022,15.66,1,2022,2022-03-31
+MDT,Medtronic,Language Complexity,CQ12022,12.21,1,2022,2022-03-31
+MRK,Merck & Co.,Language Complexity,CQ12022,13.56,1,2022,2022-03-31
+PFE,Pfizer,Language Complexity,CQ12022,12.8,1,2022,2022-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12022,12.22,1,2022,2022-03-31
+WAT,Waters Corporation,Language Complexity,CQ12022,13.01,1,2022,2022-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12022,11.0,1,2022,2022-03-31
+MMM,3M,Language Complexity,CQ12022,12.42,1,2022,2022-03-31
+AME,Ametek,Language Complexity,CQ12022,11.41,1,2022,2022-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12022,11.91,1,2022,2022-03-31
+BA,Boeing,Language Complexity,CQ12022,11.49,1,2022,2022-03-31
+CSX,CSX Corporation,Language Complexity,CQ12022,11.62,1,2022,2022-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12022,12.61,1,2022,2022-03-31
+CTAS,Cintas,Language Complexity,CQ12022,11.26,1,2022,2022-03-31
+CMI,Cummins,Language Complexity,CQ12022,11.95,1,2022,2022-03-31
+DE,Deere & Company,Language Complexity,CQ12022,13.63,1,2022,2022-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12022,11.45,1,2022,2022-03-31
+EMR,Emerson Electric,Language Complexity,CQ12022,13.07,1,2022,2022-03-31
+EFX,Equifax,Language Complexity,CQ12022,13.49,1,2022,2022-03-31
+EXPD,Expeditors International,Language Complexity,CQ12022,,1,2022,2022-03-31
+FDX,FedEx,Language Complexity,CQ12022,12.64,1,2022,2022-03-31
+GE,GE Aerospace,Language Complexity,CQ12022,12.94,1,2022,2022-03-31
+GD,General Dynamics,Language Complexity,CQ12022,10.6,1,2022,2022-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12022,12.8,1,2022,2022-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12022,13.55,1,2022,2022-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12022,12.33,1,2022,2022-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12022,12.15,1,2022,2022-03-31
+PCAR,Paccar,Language Complexity,CQ12022,10.54,1,2022,2022-03-31
+RTX,RTX Corporation,Language Complexity,CQ12022,11.76,1,2022,2022-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12022,12.01,1,2022,2022-03-31
+ROP,Roper Technologies,Language Complexity,CQ12022,11.38,1,2022,2022-03-31
+SNA,Snap-on,Language Complexity,CQ12022,12.25,1,2022,2022-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12022,14.74,1,2022,2022-03-31
+UPS,United Parcel Service,Language Complexity,CQ12022,11.06,1,2022,2022-03-31
+WM,Waste Management,Language Complexity,CQ12022,12.12,1,2022,2022-03-31
+ACN,Accenture,Language Complexity,CQ12022,12.16,1,2022,2022-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12022,13.99,1,2022,2022-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12022,11.99,1,2022,2022-03-31
+APH,Amphenol,Language Complexity,CQ12022,14.64,1,2022,2022-03-31
+ADI,Analog Devices,Language Complexity,CQ12022,12.3,1,2022,2022-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12022,11.83,1,2022,2022-03-31
+AMAT,Applied Materials,Language Complexity,CQ12022,10.88,1,2022,2022-03-31
+ADSK,Autodesk,Language Complexity,CQ12022,13.25,1,2022,2022-03-31
+AVGO,Broadcom,Language Complexity,CQ12022,11.1,1,2022,2022-03-31
+CSCO,Cisco,Language Complexity,CQ12022,11.62,1,2022,2022-03-31
+CTSH,Cognizant,Language Complexity,CQ12022,14.13,1,2022,2022-03-31
+HPQ,HP Inc.,Language Complexity,CQ12022,12.57,1,2022,2022-03-31
+IBM,IBM,Language Complexity,CQ12022,12.84,1,2022,2022-03-31
+INTC,Intel,Language Complexity,CQ12022,12.59,1,2022,2022-03-31
+INTU,Intuit,Language Complexity,CQ12022,12.36,1,2022,2022-03-31
+LRCX,Lam Research,Language Complexity,CQ12022,12.78,1,2022,2022-03-31
+MU,Micron Technology,Language Complexity,CQ12022,11.39,1,2022,2022-03-31
+MSFT,Microsoft,Language Complexity,CQ12022,14.44,1,2022,2022-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12022,12.05,1,2022,2022-03-31
+NTAP,NetApp,Language Complexity,CQ12022,11.83,1,2022,2022-03-31
+NVDA,Nvidia,Language Complexity,CQ12022,12.57,1,2022,2022-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12022,11.17,1,2022,2022-03-31
+TXN,Texas Instruments,Language Complexity,CQ12022,10.82,1,2022,2022-03-31
+APD,Air Products,Language Complexity,CQ12022,11.46,1,2022,2022-03-31
+AVY,Avery Dennison,Language Complexity,CQ12022,12.96,1,2022,2022-03-31
+ECL,Ecolab,Language Complexity,CQ12022,10.57,1,2022,2022-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12022,13.97,1,2022,2022-03-31
+IP,International Paper,Language Complexity,CQ12022,11.98,1,2022,2022-03-31
+LIN,Linde plc,Language Complexity,CQ12022,11.48,1,2022,2022-03-31
+NEM,Newmont,Language Complexity,CQ12022,14.04,1,2022,2022-03-31
+NUE,Nucor,Language Complexity,CQ12022,12.05,1,2022,2022-03-31
+AMT,American Tower,Language Complexity,CQ12022,13.75,1,2022,2022-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12022,12.28,1,2022,2022-03-31
+EQR,Equity Residential,Language Complexity,CQ12022,11.0,1,2022,2022-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12022,10.96,1,2022,2022-03-31
+IRM,Iron Mountain,Language Complexity,CQ12022,12.87,1,2022,2022-03-31
+PLD,Prologis,Language Complexity,CQ12022,10.55,1,2022,2022-03-31
+VTR,Ventas,Language Complexity,CQ12022,12.41,1,2022,2022-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12022,12.72,1,2022,2022-03-31
+AES,AES Corporation,Language Complexity,CQ12022,11.42,1,2022,2022-03-31
+AEE,Ameren,Language Complexity,CQ12022,14.97,1,2022,2022-03-31
+AEP,American Electric Power,Language Complexity,CQ12022,13.22,1,2022,2022-03-31
+CMS,CMS Energy,Language Complexity,CQ12022,11.36,1,2022,2022-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12022,13.25,1,2022,2022-03-31
+DUK,Duke Energy,Language Complexity,CQ12022,12.62,1,2022,2022-03-31
+EIX,Edison International,Language Complexity,CQ12022,13.24,1,2022,2022-03-31
+ETR,Entergy,Language Complexity,CQ12022,13.77,1,2022,2022-03-31
+EXC,Exelon,Language Complexity,CQ12022,,1,2022,2022-03-31
+NEE,NextEra Energy,Language Complexity,CQ12022,16.34,1,2022,2022-03-31
+SO,Southern Company,Language Complexity,CQ12022,11.8,1,2022,2022-03-31
+XEL,Xcel Energy,Language Complexity,CQ12022,12.73,1,2022,2022-03-31
+T,AT&T,Net Positivity,CQ22022,1.31,2,2022,2022-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22022,1.63,2,2022,2022-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22022,,2,2022,2022-06-30
+META,Meta Platforms,Net Positivity,CQ22022,1.1,2,2022,2022-06-30
+NFLX,Netflix,Net Positivity,CQ22022,1.51,2,2022,2022-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22022,1.78,2,2022,2022-06-30
+OMC,Omnicom Group,Net Positivity,CQ22022,1.25,2,2022,2022-06-30
+VZ,Verizon,Net Positivity,CQ22022,1.49,2,2022,2022-06-30
+AMZN,Amazon,Net Positivity,CQ22022,0.19,2,2022,2022-06-30
+AZO,AutoZone,Net Positivity,CQ22022,1.22,2,2022,2022-06-30
+BBY,Best Buy,Net Positivity,CQ22022,0.93,2,2022,2022-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22022,1.36,2,2022,2022-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22022,1.9,2,2022,2022-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22022,0.98,2,2022,2022-06-30
+F,Ford Motor Company,Net Positivity,CQ22022,1.16,2,2022,2022-06-30
+GM,General Motors,Net Positivity,CQ22022,1.35,2,2022,2022-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22022,2.87,2,2022,2022-06-30
+HAS,Hasbro,Net Positivity,CQ22022,1.73,2,2022,2022-06-30
+LOW,Lowe's,Net Positivity,CQ22022,1.91,2,2022,2022-06-30
+MCD,McDonald's,Net Positivity,CQ22022,1.06,2,2022,2022-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22022,1.58,2,2022,2022-06-30
+ROST,Ross Stores,Net Positivity,CQ22022,0.36,2,2022,2022-06-30
+TJX,TJX Companies,Net Positivity,CQ22022,1.49,2,2022,2022-06-30
+TGT,Target,Net Positivity,CQ22022,0.68,2,2022,2022-06-30
+MO,Altria,Net Positivity,CQ22022,0.5,2,2022,2022-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22022,0.75,2,2022,2022-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22022,0.92,2,2022,2022-06-30
+CLX,Clorox,Net Positivity,CQ22022,1.15,2,2022,2022-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22022,1.18,2,2022,2022-06-30
+COST,Costco,Net Positivity,CQ22022,0.98,2,2022,2022-06-30
+GIS,General Mills,Net Positivity,CQ22022,0.0,2,2022,2022-06-30
+HSY,Hershey Company,Net Positivity,CQ22022,1.25,2,2022,2022-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22022,1.29,2,2022,2022-06-30
+KR,Kroger,Net Positivity,CQ22022,1.72,2,2022,2022-06-30
+MKC,McCormick & Company,Net Positivity,CQ22022,0.02,2,2022,2022-06-30
+PEP,PepsiCo,Net Positivity,CQ22022,1.41,2,2022,2022-06-30
+PG,Procter & Gamble,Net Positivity,CQ22022,1.7,2,2022,2022-06-30
+SYY,Sysco,Net Positivity,CQ22022,2.84,2,2022,2022-06-30
+WMT,Walmart,Net Positivity,CQ22022,1.01,2,2022,2022-06-30
+APA,APA Corporation,Net Positivity,CQ22022,0.6,2,2022,2022-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22022,,2,2022,2022-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22022,0.44,2,2022,2022-06-30
+EOG,EOG Resources,Net Positivity,CQ22022,1.47,2,2022,2022-06-30
+XOM,ExxonMobil,Net Positivity,CQ22022,1.12,2,2022,2022-06-30
+HAL,Halliburton,Net Positivity,CQ22022,0.99,2,2022,2022-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22022,1.48,2,2022,2022-06-30
+SLB,Schlumberger,Net Positivity,CQ22022,1.18,2,2022,2022-06-30
+VLO,Valero Energy,Net Positivity,CQ22022,0.23,2,2022,2022-06-30
+AFL,Aflac,Net Positivity,CQ22022,0.46,2,2022,2022-06-30
+ALL,Allstate,Net Positivity,CQ22022,0.31,2,2022,2022-06-30
+AXP,American Express,Net Positivity,CQ22022,1.4,2,2022,2022-06-30
+AIG,American International Group,Net Positivity,CQ22022,0.61,2,2022,2022-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22022,1.46,2,2022,2022-06-30
+AON,Aon plc,Net Positivity,CQ22022,1.82,2,2022,2022-06-30
+BK,BNY Mellon,Net Positivity,CQ22022,0.94,2,2022,2022-06-30
+BAC,Bank of America,Net Positivity,CQ22022,0.57,2,2022,2022-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22022,,2,2022,2022-06-30
+BLK,BlackRock,Net Positivity,CQ22022,1.07,2,2022,2022-06-30
+CME,CME Group,Net Positivity,CQ22022,1.08,2,2022,2022-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22022,,2,2022,2022-06-30
+CB,Chubb Limited,Net Positivity,CQ22022,-0.1,2,2022,2022-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22022,-0.93,2,2022,2022-06-30
+C,Citigroup,Net Positivity,CQ22022,0.31,2,2022,2022-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22022,1.48,2,2022,2022-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22022,1.45,2,2022,2022-06-30
+FISV,Fiserv,Net Positivity,CQ22022,1.69,2,2022,2022-06-30
+GS,Goldman Sachs,Net Positivity,CQ22022,0.67,2,2022,2022-06-30
+HIG,Hartford Financial,Net Positivity,CQ22022,0.22,2,2022,2022-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22022,1.43,2,2022,2022-06-30
+IVZ,Invesco,Net Positivity,CQ22022,1.27,2,2022,2022-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22022,-0.3,2,2022,2022-06-30
+KEY,KeyCorp,Net Positivity,CQ22022,0.83,2,2022,2022-06-30
+MA,Mastercard,Net Positivity,CQ22022,1.01,2,2022,2022-06-30
+MET,MetLife,Net Positivity,CQ22022,0.75,2,2022,2022-06-30
+MS,Morgan Stanley,Net Positivity,CQ22022,0.49,2,2022,2022-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22022,0.66,2,2022,2022-06-30
+NTRS,Northern Trust,Net Positivity,CQ22022,0.47,2,2022,2022-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22022,0.15,2,2022,2022-06-30
+PRU,Prudential Financial,Net Positivity,CQ22022,1.3,2,2022,2022-06-30
+RF,Regions Financial,Net Positivity,CQ22022,0.55,2,2022,2022-06-30
+SPGI,S&P Global,Net Positivity,CQ22022,1.13,2,2022,2022-06-30
+STT,State Street,Net Positivity,CQ22022,0.49,2,2022,2022-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22022,,2,2022,2022-06-30
+TRV,Travelers Companies,Net Positivity,CQ22022,0.61,2,2022,2022-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22022,0.66,2,2022,2022-06-30
+V,Visa,Net Positivity,CQ22022,1.0,2,2022,2022-06-30
+WFC,Wells Fargo,Net Positivity,CQ22022,0.05,2,2022,2022-06-30
+ABBV,AbbVie,Net Positivity,CQ22022,1.1,2,2022,2022-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22022,1.28,2,2022,2022-06-30
+A,Agilent Technologies,Net Positivity,CQ22022,0.91,2,2022,2022-06-30
+AMGN,Amgen,Net Positivity,CQ22022,0.63,2,2022,2022-06-30
+BAX,Baxter International,Net Positivity,CQ22022,0.49,2,2022,2022-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22022,1.51,2,2022,2022-06-30
+BIIB,Biogen,Net Positivity,CQ22022,0.59,2,2022,2022-06-30
+BSX,Boston Scientific,Net Positivity,CQ22022,1.47,2,2022,2022-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22022,1.35,2,2022,2022-06-30
+CVS,CVS Health,Net Positivity,CQ22022,1.14,2,2022,2022-06-30
+COR,Cencora,Net Positivity,CQ22022,,2,2022,2022-06-30
+CI,Cigna,Net Positivity,CQ22022,1.88,2,2022,2022-06-30
+DVA,DaVita,Net Positivity,CQ22022,0.3,2,2022,2022-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22022,1.44,2,2022,2022-06-30
+LLY,Eli Lilly,Net Positivity,CQ22022,0.57,2,2022,2022-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22022,0.92,2,2022,2022-06-30
+HUM,Humana,Net Positivity,CQ22022,1.03,2,2022,2022-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22022,0.35,2,2022,2022-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22022,1.08,2,2022,2022-06-30
+LH,Labcorp,Net Positivity,CQ22022,0.49,2,2022,2022-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22022,1.36,2,2022,2022-06-30
+MDT,Medtronic,Net Positivity,CQ22022,0.54,2,2022,2022-06-30
+MRK,Merck & Co.,Net Positivity,CQ22022,1.84,2,2022,2022-06-30
+PFE,Pfizer,Net Positivity,CQ22022,1.05,2,2022,2022-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22022,2.33,2,2022,2022-06-30
+WAT,Waters Corporation,Net Positivity,CQ22022,2.02,2,2022,2022-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22022,0.94,2,2022,2022-06-30
+MMM,3M,Net Positivity,CQ22022,-0.11,2,2022,2022-06-30
+AME,Ametek,Net Positivity,CQ22022,1.86,2,2022,2022-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22022,1.33,2,2022,2022-06-30
+BA,Boeing,Net Positivity,CQ22022,1.0,2,2022,2022-06-30
+CSX,CSX Corporation,Net Positivity,CQ22022,1.3,2,2022,2022-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22022,1.5,2,2022,2022-06-30
+CTAS,Cintas,Net Positivity,CQ22022,,2,2022,2022-06-30
+CMI,Cummins,Net Positivity,CQ22022,0.57,2,2022,2022-06-30
+DE,Deere & Company,Net Positivity,CQ22022,0.38,2,2022,2022-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22022,1.27,2,2022,2022-06-30
+EMR,Emerson Electric,Net Positivity,CQ22022,1.29,2,2022,2022-06-30
+EFX,Equifax,Net Positivity,CQ22022,0.72,2,2022,2022-06-30
+EXPD,Expeditors International,Net Positivity,CQ22022,,2,2022,2022-06-30
+FDX,FedEx,Net Positivity,CQ22022,1.11,2,2022,2022-06-30
+GE,GE Aerospace,Net Positivity,CQ22022,1.23,2,2022,2022-06-30
+GD,General Dynamics,Net Positivity,CQ22022,0.76,2,2022,2022-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22022,0.84,2,2022,2022-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22022,0.81,2,2022,2022-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22022,1.52,2,2022,2022-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22022,0.98,2,2022,2022-06-30
+PCAR,Paccar,Net Positivity,CQ22022,1.83,2,2022,2022-06-30
+RTX,RTX Corporation,Net Positivity,CQ22022,0.29,2,2022,2022-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22022,0.25,2,2022,2022-06-30
+ROP,Roper Technologies,Net Positivity,CQ22022,2.13,2,2022,2022-06-30
+SNA,Snap-on,Net Positivity,CQ22022,0.86,2,2022,2022-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22022,1.54,2,2022,2022-06-30
+UPS,United Parcel Service,Net Positivity,CQ22022,0.98,2,2022,2022-06-30
+WM,Waste Management,Net Positivity,CQ22022,1.17,2,2022,2022-06-30
+ACN,Accenture,Net Positivity,CQ22022,1.23,2,2022,2022-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22022,2.53,2,2022,2022-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22022,0.56,2,2022,2022-06-30
+APH,Amphenol,Net Positivity,CQ22022,1.07,2,2022,2022-06-30
+ADI,Analog Devices,Net Positivity,CQ22022,1.35,2,2022,2022-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22022,1.01,2,2022,2022-06-30
+AMAT,Applied Materials,Net Positivity,CQ22022,1.01,2,2022,2022-06-30
+ADSK,Autodesk,Net Positivity,CQ22022,1.55,2,2022,2022-06-30
+AVGO,Broadcom,Net Positivity,CQ22022,,2,2022,2022-06-30
+CSCO,Cisco,Net Positivity,CQ22022,-0.01,2,2022,2022-06-30
+CTSH,Cognizant,Net Positivity,CQ22022,0.93,2,2022,2022-06-30
+HPQ,HP Inc.,Net Positivity,CQ22022,1.15,2,2022,2022-06-30
+IBM,IBM,Net Positivity,CQ22022,0.61,2,2022,2022-06-30
+INTC,Intel,Net Positivity,CQ22022,1.78,2,2022,2022-06-30
+INTU,Intuit,Net Positivity,CQ22022,0.9,2,2022,2022-06-30
+LRCX,Lam Research,Net Positivity,CQ22022,0.4,2,2022,2022-06-30
+MU,Micron Technology,Net Positivity,CQ22022,-0.22,2,2022,2022-06-30
+MSFT,Microsoft,Net Positivity,CQ22022,0.9,2,2022,2022-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22022,0.74,2,2022,2022-06-30
+NTAP,NetApp,Net Positivity,CQ22022,1.9,2,2022,2022-06-30
+NVDA,Nvidia,Net Positivity,CQ22022,1.19,2,2022,2022-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22022,0.86,2,2022,2022-06-30
+TXN,Texas Instruments,Net Positivity,CQ22022,0.17,2,2022,2022-06-30
+APD,Air Products,Net Positivity,CQ22022,0.64,2,2022,2022-06-30
+AVY,Avery Dennison,Net Positivity,CQ22022,1.02,2,2022,2022-06-30
+ECL,Ecolab,Net Positivity,CQ22022,0.97,2,2022,2022-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22022,1.76,2,2022,2022-06-30
+IP,International Paper,Net Positivity,CQ22022,1.39,2,2022,2022-06-30
+LIN,Linde plc,Net Positivity,CQ22022,0.51,2,2022,2022-06-30
+NEM,Newmont,Net Positivity,CQ22022,0.18,2,2022,2022-06-30
+NUE,Nucor,Net Positivity,CQ22022,1.08,2,2022,2022-06-30
+AMT,American Tower,Net Positivity,CQ22022,1.23,2,2022,2022-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22022,0.13,2,2022,2022-06-30
+EQR,Equity Residential,Net Positivity,CQ22022,0.64,2,2022,2022-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22022,0.72,2,2022,2022-06-30
+IRM,Iron Mountain,Net Positivity,CQ22022,1.9,2,2022,2022-06-30
+PLD,Prologis,Net Positivity,CQ22022,0.27,2,2022,2022-06-30
+VTR,Ventas,Net Positivity,CQ22022,2.4,2,2022,2022-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22022,1.26,2,2022,2022-06-30
+AES,AES Corporation,Net Positivity,CQ22022,0.11,2,2022,2022-06-30
+AEE,Ameren,Net Positivity,CQ22022,1.4,2,2022,2022-06-30
+AEP,American Electric Power,Net Positivity,CQ22022,0.73,2,2022,2022-06-30
+CMS,CMS Energy,Net Positivity,CQ22022,1.44,2,2022,2022-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22022,0.99,2,2022,2022-06-30
+DUK,Duke Energy,Net Positivity,CQ22022,0.56,2,2022,2022-06-30
+EIX,Edison International,Net Positivity,CQ22022,-0.32,2,2022,2022-06-30
+ETR,Entergy,Net Positivity,CQ22022,0.66,2,2022,2022-06-30
+EXC,Exelon,Net Positivity,CQ22022,1.29,2,2022,2022-06-30
+NEE,NextEra Energy,Net Positivity,CQ22022,1.03,2,2022,2022-06-30
+SO,Southern Company,Net Positivity,CQ22022,0.62,2,2022,2022-06-30
+XEL,Xcel Energy,Net Positivity,CQ22022,1.19,2,2022,2022-06-30
+T,AT&T,Numeric Transeprency,CQ22022,1.31,2,2022,2022-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22022,1.91,2,2022,2022-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22022,,2,2022,2022-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22022,1.18,2,2022,2022-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22022,0.9,2,2022,2022-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22022,3.69,2,2022,2022-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22022,2.28,2,2022,2022-06-30
+VZ,Verizon,Numeric Transeprency,CQ22022,1.79,2,2022,2022-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22022,2.09,2,2022,2022-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22022,2.35,2,2022,2022-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22022,1.76,2,2022,2022-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22022,2.7,2,2022,2022-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22022,2.0,2,2022,2022-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22022,1.64,2,2022,2022-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22022,1.57,2,2022,2022-06-30
+GM,General Motors,Numeric Transeprency,CQ22022,1.92,2,2022,2022-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22022,2.5,2,2022,2022-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22022,2.0,2,2022,2022-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22022,1.96,2,2022,2022-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22022,1.24,2,2022,2022-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22022,2.09,2,2022,2022-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22022,1.76,2,2022,2022-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22022,1.83,2,2022,2022-06-30
+TGT,Target,Numeric Transeprency,CQ22022,1.34,2,2022,2022-06-30
+MO,Altria,Numeric Transeprency,CQ22022,1.25,2,2022,2022-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22022,1.38,2,2022,2022-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22022,1.65,2,2022,2022-06-30
+CLX,Clorox,Numeric Transeprency,CQ22022,1.01,2,2022,2022-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22022,1.03,2,2022,2022-06-30
+COST,Costco,Numeric Transeprency,CQ22022,3.13,2,2022,2022-06-30
+GIS,General Mills,Numeric Transeprency,CQ22022,1.38,2,2022,2022-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22022,0.4,2,2022,2022-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22022,0.75,2,2022,2022-06-30
+KR,Kroger,Numeric Transeprency,CQ22022,1.28,2,2022,2022-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22022,1.81,2,2022,2022-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22022,0.48,2,2022,2022-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22022,1.7,2,2022,2022-06-30
+SYY,Sysco,Numeric Transeprency,CQ22022,1.48,2,2022,2022-06-30
+WMT,Walmart,Numeric Transeprency,CQ22022,0.99,2,2022,2022-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22022,2.04,2,2022,2022-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22022,,2,2022,2022-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22022,1.86,2,2022,2022-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22022,2.04,2,2022,2022-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22022,1.14,2,2022,2022-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22022,1.59,2,2022,2022-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22022,1.93,2,2022,2022-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22022,1.14,2,2022,2022-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22022,2.35,2,2022,2022-06-30
+AFL,Aflac,Numeric Transeprency,CQ22022,1.52,2,2022,2022-06-30
+ALL,Allstate,Numeric Transeprency,CQ22022,2.37,2,2022,2022-06-30
+AXP,American Express,Numeric Transeprency,CQ22022,1.96,2,2022,2022-06-30
+AIG,American International Group,Numeric Transeprency,CQ22022,3.49,2,2022,2022-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22022,2.27,2,2022,2022-06-30
+AON,Aon plc,Numeric Transeprency,CQ22022,1.33,2,2022,2022-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22022,2.38,2,2022,2022-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22022,3.33,2,2022,2022-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22022,,2,2022,2022-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22022,1.55,2,2022,2022-06-30
+CME,CME Group,Numeric Transeprency,CQ22022,2.06,2,2022,2022-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22022,,2,2022,2022-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22022,2.47,2,2022,2022-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22022,3.83,2,2022,2022-06-30
+C,Citigroup,Numeric Transeprency,CQ22022,2.3,2,2022,2022-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22022,2.18,2,2022,2022-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22022,2.16,2,2022,2022-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22022,2.37,2,2022,2022-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22022,1.98,2,2022,2022-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22022,2.89,2,2022,2022-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22022,1.99,2,2022,2022-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22022,2.47,2,2022,2022-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22022,2.1,2,2022,2022-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22022,2.54,2,2022,2022-06-30
+MA,Mastercard,Numeric Transeprency,CQ22022,1.97,2,2022,2022-06-30
+MET,MetLife,Numeric Transeprency,CQ22022,2.78,2,2022,2022-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22022,1.63,2,2022,2022-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22022,2.36,2,2022,2022-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22022,2.85,2,2022,2022-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22022,3.65,2,2022,2022-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22022,1.93,2,2022,2022-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22022,2.55,2,2022,2022-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22022,2.48,2,2022,2022-06-30
+STT,State Street,Numeric Transeprency,CQ22022,2.29,2,2022,2022-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22022,,2,2022,2022-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22022,2.0,2,2022,2022-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22022,2.96,2,2022,2022-06-30
+V,Visa,Numeric Transeprency,CQ22022,3.87,2,2022,2022-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22022,1.87,2,2022,2022-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22022,1.76,2,2022,2022-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22022,1.41,2,2022,2022-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22022,1.87,2,2022,2022-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22022,2.63,2,2022,2022-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22022,2.22,2,2022,2022-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22022,2.23,2,2022,2022-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22022,1.71,2,2022,2022-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22022,3.08,2,2022,2022-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22022,1.35,2,2022,2022-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22022,2.61,2,2022,2022-06-30
+COR,Cencora,Numeric Transeprency,CQ22022,,2,2022,2022-06-30
+CI,Cigna,Numeric Transeprency,CQ22022,1.85,2,2022,2022-06-30
+DVA,DaVita,Numeric Transeprency,CQ22022,3.04,2,2022,2022-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22022,1.58,2,2022,2022-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22022,2.16,2,2022,2022-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22022,1.98,2,2022,2022-06-30
+HUM,Humana,Numeric Transeprency,CQ22022,1.93,2,2022,2022-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22022,3.18,2,2022,2022-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22022,2.24,2,2022,2022-06-30
+LH,Labcorp,Numeric Transeprency,CQ22022,2.87,2,2022,2022-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22022,3.76,2,2022,2022-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22022,1.77,2,2022,2022-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22022,1.61,2,2022,2022-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22022,2.34,2,2022,2022-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22022,2.4,2,2022,2022-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22022,2.65,2,2022,2022-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22022,1.48,2,2022,2022-06-30
+MMM,3M,Numeric Transeprency,CQ22022,3.4,2,2022,2022-06-30
+AME,Ametek,Numeric Transeprency,CQ22022,3.03,2,2022,2022-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22022,1.29,2,2022,2022-06-30
+BA,Boeing,Numeric Transeprency,CQ22022,2.12,2,2022,2022-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22022,1.4,2,2022,2022-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22022,2.44,2,2022,2022-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22022,,2,2022,2022-06-30
+CMI,Cummins,Numeric Transeprency,CQ22022,2.59,2,2022,2022-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22022,1.97,2,2022,2022-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22022,1.76,2,2022,2022-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22022,2.18,2,2022,2022-06-30
+EFX,Equifax,Numeric Transeprency,CQ22022,4.01,2,2022,2022-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22022,,2,2022,2022-06-30
+FDX,FedEx,Numeric Transeprency,CQ22022,1.63,2,2022,2022-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22022,1.58,2,2022,2022-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22022,3.07,2,2022,2022-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22022,3.77,2,2022,2022-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22022,2.01,2,2022,2022-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22022,1.08,2,2022,2022-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22022,2.16,2,2022,2022-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22022,1.55,2,2022,2022-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22022,2.88,2,2022,2022-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22022,2.55,2,2022,2022-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22022,2.35,2,2022,2022-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22022,3.64,2,2022,2022-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22022,2.78,2,2022,2022-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22022,2.68,2,2022,2022-06-30
+WM,Waste Management,Numeric Transeprency,CQ22022,2.09,2,2022,2022-06-30
+ACN,Accenture,Numeric Transeprency,CQ22022,2.67,2,2022,2022-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22022,1.54,2,2022,2022-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22022,2.09,2,2022,2022-06-30
+APH,Amphenol,Numeric Transeprency,CQ22022,1.67,2,2022,2022-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22022,2.5,2,2022,2022-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22022,2.1,2,2022,2022-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22022,1.59,2,2022,2022-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22022,1.14,2,2022,2022-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22022,,2,2022,2022-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22022,2.43,2,2022,2022-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22022,1.76,2,2022,2022-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22022,2.6,2,2022,2022-06-30
+IBM,IBM,Numeric Transeprency,CQ22022,2.1,2,2022,2022-06-30
+INTC,Intel,Numeric Transeprency,CQ22022,2.04,2,2022,2022-06-30
+INTU,Intuit,Numeric Transeprency,CQ22022,2.19,2,2022,2022-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22022,1.32,2,2022,2022-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22022,0.99,2,2022,2022-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22022,3.05,2,2022,2022-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22022,2.41,2,2022,2022-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22022,2.2,2,2022,2022-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22022,1.6,2,2022,2022-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22022,2.61,2,2022,2022-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22022,2.11,2,2022,2022-06-30
+APD,Air Products,Numeric Transeprency,CQ22022,2.62,2,2022,2022-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22022,1.34,2,2022,2022-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22022,2.15,2,2022,2022-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22022,1.88,2,2022,2022-06-30
+IP,International Paper,Numeric Transeprency,CQ22022,2.03,2,2022,2022-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22022,1.53,2,2022,2022-06-30
+NEM,Newmont,Numeric Transeprency,CQ22022,1.73,2,2022,2022-06-30
+NUE,Nucor,Numeric Transeprency,CQ22022,1.94,2,2022,2022-06-30
+AMT,American Tower,Numeric Transeprency,CQ22022,3.04,2,2022,2022-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22022,2.07,2,2022,2022-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22022,1.53,2,2022,2022-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22022,2.4,2,2022,2022-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22022,2.52,2,2022,2022-06-30
+PLD,Prologis,Numeric Transeprency,CQ22022,2.52,2,2022,2022-06-30
+VTR,Ventas,Numeric Transeprency,CQ22022,2.28,2,2022,2022-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22022,1.76,2,2022,2022-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22022,2.26,2,2022,2022-06-30
+AEE,Ameren,Numeric Transeprency,CQ22022,2.74,2,2022,2022-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22022,2.17,2,2022,2022-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22022,2.5,2,2022,2022-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22022,2.79,2,2022,2022-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22022,3.11,2,2022,2022-06-30
+EIX,Edison International,Numeric Transeprency,CQ22022,2.97,2,2022,2022-06-30
+ETR,Entergy,Numeric Transeprency,CQ22022,1.49,2,2022,2022-06-30
+EXC,Exelon,Numeric Transeprency,CQ22022,3.47,2,2022,2022-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22022,3.1,2,2022,2022-06-30
+SO,Southern Company,Numeric Transeprency,CQ22022,1.67,2,2022,2022-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22022,2.37,2,2022,2022-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22022,29.41,2,2022,2022-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22022,19.05,2,2022,2022-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22022,,2,2022,2022-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22022,16.0,2,2022,2022-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22022,2.33,2,2022,2022-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22022,36.36,2,2022,2022-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22022,54.55,2,2022,2022-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22022,29.63,2,2022,2022-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22022,12.0,2,2022,2022-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22022,37.5,2,2022,2022-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22022,32.14,2,2022,2022-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22022,18.75,2,2022,2022-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22022,31.25,2,2022,2022-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22022,59.26,2,2022,2022-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22022,47.62,2,2022,2022-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22022,41.67,2,2022,2022-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22022,57.14,2,2022,2022-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22022,61.54,2,2022,2022-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22022,21.21,2,2022,2022-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22022,38.89,2,2022,2022-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22022,14.29,2,2022,2022-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22022,48.0,2,2022,2022-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22022,26.92,2,2022,2022-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22022,19.35,2,2022,2022-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22022,31.25,2,2022,2022-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22022,64.29,2,2022,2022-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22022,31.25,2,2022,2022-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22022,50.0,2,2022,2022-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22022,52.17,2,2022,2022-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22022,30.3,2,2022,2022-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22022,47.06,2,2022,2022-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22022,60.0,2,2022,2022-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22022,43.75,2,2022,2022-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22022,34.48,2,2022,2022-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22022,54.55,2,2022,2022-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22022,61.9,2,2022,2022-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22022,59.09,2,2022,2022-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22022,44.44,2,2022,2022-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22022,47.37,2,2022,2022-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22022,39.13,2,2022,2022-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22022,,2,2022,2022-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22022,39.13,2,2022,2022-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22022,23.33,2,2022,2022-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22022,60.0,2,2022,2022-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22022,32.0,2,2022,2022-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22022,28.0,2,2022,2022-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22022,17.39,2,2022,2022-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22022,62.5,2,2022,2022-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22022,53.85,2,2022,2022-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22022,31.58,2,2022,2022-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22022,44.0,2,2022,2022-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22022,12.5,2,2022,2022-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22022,46.15,2,2022,2022-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22022,26.67,2,2022,2022-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22022,44.44,2,2022,2022-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22022,41.67,2,2022,2022-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22022,,2,2022,2022-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22022,42.86,2,2022,2022-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22022,63.16,2,2022,2022-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22022,,2,2022,2022-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22022,42.86,2,2022,2022-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22022,40.0,2,2022,2022-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22022,47.83,2,2022,2022-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22022,27.59,2,2022,2022-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22022,52.38,2,2022,2022-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22022,25.93,2,2022,2022-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22022,38.46,2,2022,2022-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22022,44.44,2,2022,2022-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22022,44.44,2,2022,2022-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22022,57.14,2,2022,2022-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22022,40.0,2,2022,2022-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22022,52.63,2,2022,2022-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22022,33.33,2,2022,2022-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22022,40.0,2,2022,2022-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22022,34.62,2,2022,2022-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22022,58.82,2,2022,2022-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22022,41.18,2,2022,2022-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22022,23.81,2,2022,2022-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22022,40.0,2,2022,2022-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22022,33.33,2,2022,2022-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22022,77.78,2,2022,2022-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22022,52.94,2,2022,2022-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22022,,2,2022,2022-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22022,47.62,2,2022,2022-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22022,45.0,2,2022,2022-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22022,29.41,2,2022,2022-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22022,36.0,2,2022,2022-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22022,50.0,2,2022,2022-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22022,27.27,2,2022,2022-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22022,56.25,2,2022,2022-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22022,41.67,2,2022,2022-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22022,53.33,2,2022,2022-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22022,50.0,2,2022,2022-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22022,29.03,2,2022,2022-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22022,30.77,2,2022,2022-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22022,45.0,2,2022,2022-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22022,33.33,2,2022,2022-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22022,,2,2022,2022-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22022,60.0,2,2022,2022-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22022,37.5,2,2022,2022-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22022,30.0,2,2022,2022-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22022,55.0,2,2022,2022-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22022,30.77,2,2022,2022-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22022,52.38,2,2022,2022-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22022,25.0,2,2022,2022-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22022,50.0,2,2022,2022-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22022,21.43,2,2022,2022-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22022,57.14,2,2022,2022-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22022,28.0,2,2022,2022-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22022,36.36,2,2022,2022-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22022,55.0,2,2022,2022-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22022,27.27,2,2022,2022-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22022,42.86,2,2022,2022-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22022,29.63,2,2022,2022-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22022,42.86,2,2022,2022-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22022,31.25,2,2022,2022-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22022,36.84,2,2022,2022-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22022,40.91,2,2022,2022-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22022,44.44,2,2022,2022-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22022,53.57,2,2022,2022-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22022,,2,2022,2022-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22022,29.17,2,2022,2022-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22022,52.0,2,2022,2022-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22022,38.1,2,2022,2022-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22022,41.67,2,2022,2022-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22022,71.43,2,2022,2022-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22022,,2,2022,2022-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22022,53.33,2,2022,2022-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22022,40.0,2,2022,2022-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22022,62.5,2,2022,2022-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22022,33.33,2,2022,2022-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22022,68.75,2,2022,2022-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22022,62.96,2,2022,2022-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22022,62.5,2,2022,2022-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22022,78.95,2,2022,2022-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22022,60.0,2,2022,2022-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22022,32.0,2,2022,2022-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22022,33.33,2,2022,2022-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22022,62.5,2,2022,2022-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22022,41.18,2,2022,2022-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22022,43.33,2,2022,2022-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22022,62.5,2,2022,2022-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22022,24.0,2,2022,2022-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22022,39.29,2,2022,2022-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22022,71.43,2,2022,2022-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22022,66.67,2,2022,2022-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22022,32.0,2,2022,2022-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22022,22.5,2,2022,2022-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22022,39.29,2,2022,2022-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22022,37.5,2,2022,2022-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22022,,2,2022,2022-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22022,37.04,2,2022,2022-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22022,30.77,2,2022,2022-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22022,41.18,2,2022,2022-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22022,50.0,2,2022,2022-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22022,28.21,2,2022,2022-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22022,31.82,2,2022,2022-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22022,48.0,2,2022,2022-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22022,29.41,2,2022,2022-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22022,16.28,2,2022,2022-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22022,64.29,2,2022,2022-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22022,52.17,2,2022,2022-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22022,22.22,2,2022,2022-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22022,23.08,2,2022,2022-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22022,30.0,2,2022,2022-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22022,19.05,2,2022,2022-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22022,66.67,2,2022,2022-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22022,57.14,2,2022,2022-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22022,68.75,2,2022,2022-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22022,57.14,2,2022,2022-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22022,15.0,2,2022,2022-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22022,55.56,2,2022,2022-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22022,33.33,2,2022,2022-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22022,53.33,2,2022,2022-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22022,37.5,2,2022,2022-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22022,12.5,2,2022,2022-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22022,36.36,2,2022,2022-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22022,100.0,2,2022,2022-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22022,55.56,2,2022,2022-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22022,36.36,2,2022,2022-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22022,50.0,2,2022,2022-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22022,50.0,2,2022,2022-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22022,20.0,2,2022,2022-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22022,31.58,2,2022,2022-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22022,42.11,2,2022,2022-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22022,33.33,2,2022,2022-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22022,15.79,2,2022,2022-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22022,25.0,2,2022,2022-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22022,29.41,2,2022,2022-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22022,22.22,2,2022,2022-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22022,19.05,2,2022,2022-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22022,38.89,2,2022,2022-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22022,25.0,2,2022,2022-06-30
+T,AT&T,Language Complexity,CQ22022,12.75,2,2022,2022-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22022,12.48,2,2022,2022-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22022,,2,2022,2022-06-30
+META,Meta Platforms,Language Complexity,CQ22022,12.6,2,2022,2022-06-30
+NFLX,Netflix,Language Complexity,CQ22022,10.43,2,2022,2022-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22022,14.82,2,2022,2022-06-30
+OMC,Omnicom Group,Language Complexity,CQ22022,12.68,2,2022,2022-06-30
+VZ,Verizon,Language Complexity,CQ22022,11.85,2,2022,2022-06-30
+AMZN,Amazon,Language Complexity,CQ22022,12.32,2,2022,2022-06-30
+AZO,AutoZone,Language Complexity,CQ22022,12.35,2,2022,2022-06-30
+BBY,Best Buy,Language Complexity,CQ22022,13.69,2,2022,2022-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22022,12.0,2,2022,2022-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22022,11.82,2,2022,2022-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22022,11.6,2,2022,2022-06-30
+F,Ford Motor Company,Language Complexity,CQ22022,10.33,2,2022,2022-06-30
+GM,General Motors,Language Complexity,CQ22022,12.77,2,2022,2022-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22022,12.23,2,2022,2022-06-30
+HAS,Hasbro,Language Complexity,CQ22022,11.94,2,2022,2022-06-30
+LOW,Lowe's,Language Complexity,CQ22022,13.13,2,2022,2022-06-30
+MCD,McDonald's,Language Complexity,CQ22022,12.28,2,2022,2022-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22022,13.93,2,2022,2022-06-30
+ROST,Ross Stores,Language Complexity,CQ22022,10.51,2,2022,2022-06-30
+TJX,TJX Companies,Language Complexity,CQ22022,11.39,2,2022,2022-06-30
+TGT,Target,Language Complexity,CQ22022,14.26,2,2022,2022-06-30
+MO,Altria,Language Complexity,CQ22022,13.49,2,2022,2022-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22022,12.44,2,2022,2022-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22022,13.48,2,2022,2022-06-30
+CLX,Clorox,Language Complexity,CQ22022,10.31,2,2022,2022-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22022,14.05,2,2022,2022-06-30
+COST,Costco,Language Complexity,CQ22022,10.45,2,2022,2022-06-30
+GIS,General Mills,Language Complexity,CQ22022,10.45,2,2022,2022-06-30
+HSY,Hershey Company,Language Complexity,CQ22022,10.8,2,2022,2022-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22022,10.26,2,2022,2022-06-30
+KR,Kroger,Language Complexity,CQ22022,12.72,2,2022,2022-06-30
+MKC,McCormick & Company,Language Complexity,CQ22022,12.55,2,2022,2022-06-30
+PEP,PepsiCo,Language Complexity,CQ22022,11.27,2,2022,2022-06-30
+PG,Procter & Gamble,Language Complexity,CQ22022,12.53,2,2022,2022-06-30
+SYY,Sysco,Language Complexity,CQ22022,12.72,2,2022,2022-06-30
+WMT,Walmart,Language Complexity,CQ22022,11.86,2,2022,2022-06-30
+APA,APA Corporation,Language Complexity,CQ22022,11.39,2,2022,2022-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22022,,2,2022,2022-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22022,10.91,2,2022,2022-06-30
+EOG,EOG Resources,Language Complexity,CQ22022,13.41,2,2022,2022-06-30
+XOM,ExxonMobil,Language Complexity,CQ22022,12.89,2,2022,2022-06-30
+HAL,Halliburton,Language Complexity,CQ22022,13.4,2,2022,2022-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22022,12.85,2,2022,2022-06-30
+SLB,Schlumberger,Language Complexity,CQ22022,15.49,2,2022,2022-06-30
+VLO,Valero Energy,Language Complexity,CQ22022,11.12,2,2022,2022-06-30
+AFL,Aflac,Language Complexity,CQ22022,11.86,2,2022,2022-06-30
+ALL,Allstate,Language Complexity,CQ22022,13.33,2,2022,2022-06-30
+AXP,American Express,Language Complexity,CQ22022,13.17,2,2022,2022-06-30
+AIG,American International Group,Language Complexity,CQ22022,15.13,2,2022,2022-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22022,11.76,2,2022,2022-06-30
+AON,Aon plc,Language Complexity,CQ22022,13.9,2,2022,2022-06-30
+BK,BNY Mellon,Language Complexity,CQ22022,12.27,2,2022,2022-06-30
+BAC,Bank of America,Language Complexity,CQ22022,11.35,2,2022,2022-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22022,,2,2022,2022-06-30
+BLK,BlackRock,Language Complexity,CQ22022,15.32,2,2022,2022-06-30
+CME,CME Group,Language Complexity,CQ22022,11.31,2,2022,2022-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22022,,2,2022,2022-06-30
+CB,Chubb Limited,Language Complexity,CQ22022,11.0,2,2022,2022-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22022,11.97,2,2022,2022-06-30
+C,Citigroup,Language Complexity,CQ22022,12.36,2,2022,2022-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22022,11.05,2,2022,2022-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22022,12.98,2,2022,2022-06-30
+FISV,Fiserv,Language Complexity,CQ22022,12.5,2,2022,2022-06-30
+GS,Goldman Sachs,Language Complexity,CQ22022,12.83,2,2022,2022-06-30
+HIG,Hartford Financial,Language Complexity,CQ22022,12.37,2,2022,2022-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22022,14.59,2,2022,2022-06-30
+IVZ,Invesco,Language Complexity,CQ22022,12.11,2,2022,2022-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22022,10.05,2,2022,2022-06-30
+KEY,KeyCorp,Language Complexity,CQ22022,11.23,2,2022,2022-06-30
+MA,Mastercard,Language Complexity,CQ22022,12.53,2,2022,2022-06-30
+MET,MetLife,Language Complexity,CQ22022,12.22,2,2022,2022-06-30
+MS,Morgan Stanley,Language Complexity,CQ22022,11.87,2,2022,2022-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22022,13.38,2,2022,2022-06-30
+NTRS,Northern Trust,Language Complexity,CQ22022,11.78,2,2022,2022-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22022,11.34,2,2022,2022-06-30
+PRU,Prudential Financial,Language Complexity,CQ22022,13.76,2,2022,2022-06-30
+RF,Regions Financial,Language Complexity,CQ22022,11.29,2,2022,2022-06-30
+SPGI,S&P Global,Language Complexity,CQ22022,12.85,2,2022,2022-06-30
+STT,State Street,Language Complexity,CQ22022,12.7,2,2022,2022-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22022,,2,2022,2022-06-30
+TRV,Travelers Companies,Language Complexity,CQ22022,12.9,2,2022,2022-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22022,11.97,2,2022,2022-06-30
+V,Visa,Language Complexity,CQ22022,11.97,2,2022,2022-06-30
+WFC,Wells Fargo,Language Complexity,CQ22022,12.08,2,2022,2022-06-30
+ABBV,AbbVie,Language Complexity,CQ22022,12.07,2,2022,2022-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22022,11.63,2,2022,2022-06-30
+A,Agilent Technologies,Language Complexity,CQ22022,10.76,2,2022,2022-06-30
+AMGN,Amgen,Language Complexity,CQ22022,12.5,2,2022,2022-06-30
+BAX,Baxter International,Language Complexity,CQ22022,12.78,2,2022,2022-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22022,13.57,2,2022,2022-06-30
+BIIB,Biogen,Language Complexity,CQ22022,13.05,2,2022,2022-06-30
+BSX,Boston Scientific,Language Complexity,CQ22022,12.45,2,2022,2022-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22022,11.87,2,2022,2022-06-30
+CVS,CVS Health,Language Complexity,CQ22022,13.23,2,2022,2022-06-30
+COR,Cencora,Language Complexity,CQ22022,,2,2022,2022-06-30
+CI,Cigna,Language Complexity,CQ22022,14.48,2,2022,2022-06-30
+DVA,DaVita,Language Complexity,CQ22022,10.91,2,2022,2022-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22022,12.9,2,2022,2022-06-30
+LLY,Eli Lilly,Language Complexity,CQ22022,12.61,2,2022,2022-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22022,12.04,2,2022,2022-06-30
+HUM,Humana,Language Complexity,CQ22022,15.19,2,2022,2022-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22022,13.23,2,2022,2022-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22022,13.82,2,2022,2022-06-30
+LH,Labcorp,Language Complexity,CQ22022,12.36,2,2022,2022-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22022,15.42,2,2022,2022-06-30
+MDT,Medtronic,Language Complexity,CQ22022,12.39,2,2022,2022-06-30
+MRK,Merck & Co.,Language Complexity,CQ22022,13.34,2,2022,2022-06-30
+PFE,Pfizer,Language Complexity,CQ22022,12.19,2,2022,2022-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22022,12.18,2,2022,2022-06-30
+WAT,Waters Corporation,Language Complexity,CQ22022,12.41,2,2022,2022-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22022,10.89,2,2022,2022-06-30
+MMM,3M,Language Complexity,CQ22022,12.83,2,2022,2022-06-30
+AME,Ametek,Language Complexity,CQ22022,12.06,2,2022,2022-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22022,12.6,2,2022,2022-06-30
+BA,Boeing,Language Complexity,CQ22022,11.17,2,2022,2022-06-30
+CSX,CSX Corporation,Language Complexity,CQ22022,12.11,2,2022,2022-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22022,11.97,2,2022,2022-06-30
+CTAS,Cintas,Language Complexity,CQ22022,,2,2022,2022-06-30
+CMI,Cummins,Language Complexity,CQ22022,12.3,2,2022,2022-06-30
+DE,Deere & Company,Language Complexity,CQ22022,12.16,2,2022,2022-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22022,11.7,2,2022,2022-06-30
+EMR,Emerson Electric,Language Complexity,CQ22022,12.53,2,2022,2022-06-30
+EFX,Equifax,Language Complexity,CQ22022,12.07,2,2022,2022-06-30
+EXPD,Expeditors International,Language Complexity,CQ22022,,2,2022,2022-06-30
+FDX,FedEx,Language Complexity,CQ22022,12.43,2,2022,2022-06-30
+GE,GE Aerospace,Language Complexity,CQ22022,12.44,2,2022,2022-06-30
+GD,General Dynamics,Language Complexity,CQ22022,11.01,2,2022,2022-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22022,11.47,2,2022,2022-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22022,12.48,2,2022,2022-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22022,12.7,2,2022,2022-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22022,12.19,2,2022,2022-06-30
+PCAR,Paccar,Language Complexity,CQ22022,9.85,2,2022,2022-06-30
+RTX,RTX Corporation,Language Complexity,CQ22022,11.25,2,2022,2022-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22022,12.85,2,2022,2022-06-30
+ROP,Roper Technologies,Language Complexity,CQ22022,11.34,2,2022,2022-06-30
+SNA,Snap-on,Language Complexity,CQ22022,11.76,2,2022,2022-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22022,14.56,2,2022,2022-06-30
+UPS,United Parcel Service,Language Complexity,CQ22022,11.32,2,2022,2022-06-30
+WM,Waste Management,Language Complexity,CQ22022,11.72,2,2022,2022-06-30
+ACN,Accenture,Language Complexity,CQ22022,12.72,2,2022,2022-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22022,14.42,2,2022,2022-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22022,11.47,2,2022,2022-06-30
+APH,Amphenol,Language Complexity,CQ22022,13.84,2,2022,2022-06-30
+ADI,Analog Devices,Language Complexity,CQ22022,12.3,2,2022,2022-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22022,11.76,2,2022,2022-06-30
+AMAT,Applied Materials,Language Complexity,CQ22022,11.87,2,2022,2022-06-30
+ADSK,Autodesk,Language Complexity,CQ22022,12.74,2,2022,2022-06-30
+AVGO,Broadcom,Language Complexity,CQ22022,,2,2022,2022-06-30
+CSCO,Cisco,Language Complexity,CQ22022,10.73,2,2022,2022-06-30
+CTSH,Cognizant,Language Complexity,CQ22022,13.75,2,2022,2022-06-30
+HPQ,HP Inc.,Language Complexity,CQ22022,12.84,2,2022,2022-06-30
+IBM,IBM,Language Complexity,CQ22022,12.45,2,2022,2022-06-30
+INTC,Intel,Language Complexity,CQ22022,12.32,2,2022,2022-06-30
+INTU,Intuit,Language Complexity,CQ22022,11.86,2,2022,2022-06-30
+LRCX,Lam Research,Language Complexity,CQ22022,12.04,2,2022,2022-06-30
+MU,Micron Technology,Language Complexity,CQ22022,11.64,2,2022,2022-06-30
+MSFT,Microsoft,Language Complexity,CQ22022,13.7,2,2022,2022-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22022,11.96,2,2022,2022-06-30
+NTAP,NetApp,Language Complexity,CQ22022,11.61,2,2022,2022-06-30
+NVDA,Nvidia,Language Complexity,CQ22022,11.83,2,2022,2022-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22022,12.26,2,2022,2022-06-30
+TXN,Texas Instruments,Language Complexity,CQ22022,10.15,2,2022,2022-06-30
+APD,Air Products,Language Complexity,CQ22022,12.16,2,2022,2022-06-30
+AVY,Avery Dennison,Language Complexity,CQ22022,12.81,2,2022,2022-06-30
+ECL,Ecolab,Language Complexity,CQ22022,11.08,2,2022,2022-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22022,13.35,2,2022,2022-06-30
+IP,International Paper,Language Complexity,CQ22022,12.14,2,2022,2022-06-30
+LIN,Linde plc,Language Complexity,CQ22022,11.77,2,2022,2022-06-30
+NEM,Newmont,Language Complexity,CQ22022,12.66,2,2022,2022-06-30
+NUE,Nucor,Language Complexity,CQ22022,12.29,2,2022,2022-06-30
+AMT,American Tower,Language Complexity,CQ22022,12.82,2,2022,2022-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22022,11.98,2,2022,2022-06-30
+EQR,Equity Residential,Language Complexity,CQ22022,11.64,2,2022,2022-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22022,11.67,2,2022,2022-06-30
+IRM,Iron Mountain,Language Complexity,CQ22022,12.71,2,2022,2022-06-30
+PLD,Prologis,Language Complexity,CQ22022,10.52,2,2022,2022-06-30
+VTR,Ventas,Language Complexity,CQ22022,12.68,2,2022,2022-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22022,12.6,2,2022,2022-06-30
+AES,AES Corporation,Language Complexity,CQ22022,11.43,2,2022,2022-06-30
+AEE,Ameren,Language Complexity,CQ22022,15.25,2,2022,2022-06-30
+AEP,American Electric Power,Language Complexity,CQ22022,13.11,2,2022,2022-06-30
+CMS,CMS Energy,Language Complexity,CQ22022,12.17,2,2022,2022-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22022,14.17,2,2022,2022-06-30
+DUK,Duke Energy,Language Complexity,CQ22022,12.17,2,2022,2022-06-30
+EIX,Edison International,Language Complexity,CQ22022,12.64,2,2022,2022-06-30
+ETR,Entergy,Language Complexity,CQ22022,12.44,2,2022,2022-06-30
+EXC,Exelon,Language Complexity,CQ22022,13.66,2,2022,2022-06-30
+NEE,NextEra Energy,Language Complexity,CQ22022,14.75,2,2022,2022-06-30
+SO,Southern Company,Language Complexity,CQ22022,11.07,2,2022,2022-06-30
+XEL,Xcel Energy,Language Complexity,CQ22022,13.21,2,2022,2022-06-30
+T,AT&T,Net Positivity,CQ32022,1.18,3,2022,2022-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32022,1.56,3,2022,2022-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32022,,3,2022,2022-09-30
+META,Meta Platforms,Net Positivity,CQ32022,1.15,3,2022,2022-09-30
+NFLX,Netflix,Net Positivity,CQ32022,1.55,3,2022,2022-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32022,1.39,3,2022,2022-09-30
+OMC,Omnicom Group,Net Positivity,CQ32022,0.4,3,2022,2022-09-30
+VZ,Verizon,Net Positivity,CQ32022,1.21,3,2022,2022-09-30
+AMZN,Amazon,Net Positivity,CQ32022,1.45,3,2022,2022-09-30
+AZO,AutoZone,Net Positivity,CQ32022,1.42,3,2022,2022-09-30
+BBY,Best Buy,Net Positivity,CQ32022,0.54,3,2022,2022-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32022,1.63,3,2022,2022-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32022,1.45,3,2022,2022-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32022,0.78,3,2022,2022-09-30
+F,Ford Motor Company,Net Positivity,CQ32022,0.83,3,2022,2022-09-30
+GM,General Motors,Net Positivity,CQ32022,0.8,3,2022,2022-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32022,1.95,3,2022,2022-09-30
+HAS,Hasbro,Net Positivity,CQ32022,1.24,3,2022,2022-09-30
+LOW,Lowe's,Net Positivity,CQ32022,1.63,3,2022,2022-09-30
+MCD,McDonald's,Net Positivity,CQ32022,1.5,3,2022,2022-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32022,2.31,3,2022,2022-09-30
+ROST,Ross Stores,Net Positivity,CQ32022,0.36,3,2022,2022-09-30
+TJX,TJX Companies,Net Positivity,CQ32022,2.01,3,2022,2022-09-30
+TGT,Target,Net Positivity,CQ32022,1.09,3,2022,2022-09-30
+MO,Altria,Net Positivity,CQ32022,0.95,3,2022,2022-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32022,1.98,3,2022,2022-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32022,0.79,3,2022,2022-09-30
+CLX,Clorox,Net Positivity,CQ32022,0.58,3,2022,2022-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32022,0.91,3,2022,2022-09-30
+COST,Costco,Net Positivity,CQ32022,0.45,3,2022,2022-09-30
+GIS,General Mills,Net Positivity,CQ32022,0.3,3,2022,2022-09-30
+HSY,Hershey Company,Net Positivity,CQ32022,0.49,3,2022,2022-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32022,0.77,3,2022,2022-09-30
+KR,Kroger,Net Positivity,CQ32022,2.2,3,2022,2022-09-30
+MKC,McCormick & Company,Net Positivity,CQ32022,,3,2022,2022-09-30
+PEP,PepsiCo,Net Positivity,CQ32022,1.2,3,2022,2022-09-30
+PG,Procter & Gamble,Net Positivity,CQ32022,1.24,3,2022,2022-09-30
+SYY,Sysco,Net Positivity,CQ32022,2.18,3,2022,2022-09-30
+WMT,Walmart,Net Positivity,CQ32022,1.23,3,2022,2022-09-30
+APA,APA Corporation,Net Positivity,CQ32022,0.38,3,2022,2022-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32022,,3,2022,2022-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32022,0.86,3,2022,2022-09-30
+EOG,EOG Resources,Net Positivity,CQ32022,0.99,3,2022,2022-09-30
+XOM,ExxonMobil,Net Positivity,CQ32022,0.95,3,2022,2022-09-30
+HAL,Halliburton,Net Positivity,CQ32022,1.68,3,2022,2022-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32022,1.4,3,2022,2022-09-30
+SLB,Schlumberger,Net Positivity,CQ32022,1.46,3,2022,2022-09-30
+VLO,Valero Energy,Net Positivity,CQ32022,0.39,3,2022,2022-09-30
+AFL,Aflac,Net Positivity,CQ32022,0.27,3,2022,2022-09-30
+ALL,Allstate,Net Positivity,CQ32022,-0.35,3,2022,2022-09-30
+AXP,American Express,Net Positivity,CQ32022,0.98,3,2022,2022-09-30
+AIG,American International Group,Net Positivity,CQ32022,0.49,3,2022,2022-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32022,1.25,3,2022,2022-09-30
+AON,Aon plc,Net Positivity,CQ32022,2.55,3,2022,2022-09-30
+BK,BNY Mellon,Net Positivity,CQ32022,0.73,3,2022,2022-09-30
+BAC,Bank of America,Net Positivity,CQ32022,0.11,3,2022,2022-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32022,,3,2022,2022-09-30
+BLK,BlackRock,Net Positivity,CQ32022,0.67,3,2022,2022-09-30
+CME,CME Group,Net Positivity,CQ32022,1.05,3,2022,2022-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32022,,3,2022,2022-09-30
+CB,Chubb Limited,Net Positivity,CQ32022,-0.81,3,2022,2022-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32022,-0.59,3,2022,2022-09-30
+C,Citigroup,Net Positivity,CQ32022,0.28,3,2022,2022-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32022,1.21,3,2022,2022-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32022,0.67,3,2022,2022-09-30
+FISV,Fiserv,Net Positivity,CQ32022,2.08,3,2022,2022-09-30
+GS,Goldman Sachs,Net Positivity,CQ32022,0.13,3,2022,2022-09-30
+HIG,Hartford Financial,Net Positivity,CQ32022,0.46,3,2022,2022-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32022,0.87,3,2022,2022-09-30
+IVZ,Invesco,Net Positivity,CQ32022,0.6,3,2022,2022-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32022,-0.54,3,2022,2022-09-30
+KEY,KeyCorp,Net Positivity,CQ32022,0.91,3,2022,2022-09-30
+MA,Mastercard,Net Positivity,CQ32022,1.13,3,2022,2022-09-30
+MET,MetLife,Net Positivity,CQ32022,0.91,3,2022,2022-09-30
+MS,Morgan Stanley,Net Positivity,CQ32022,-0.33,3,2022,2022-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32022,1.04,3,2022,2022-09-30
+NTRS,Northern Trust,Net Positivity,CQ32022,0.33,3,2022,2022-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32022,-0.09,3,2022,2022-09-30
+PRU,Prudential Financial,Net Positivity,CQ32022,1.38,3,2022,2022-09-30
+RF,Regions Financial,Net Positivity,CQ32022,0.79,3,2022,2022-09-30
+SPGI,S&P Global,Net Positivity,CQ32022,0.85,3,2022,2022-09-30
+STT,State Street,Net Positivity,CQ32022,0.42,3,2022,2022-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32022,,3,2022,2022-09-30
+TRV,Travelers Companies,Net Positivity,CQ32022,0.29,3,2022,2022-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32022,0.37,3,2022,2022-09-30
+V,Visa,Net Positivity,CQ32022,0.79,3,2022,2022-09-30
+WFC,Wells Fargo,Net Positivity,CQ32022,-0.04,3,2022,2022-09-30
+ABBV,AbbVie,Net Positivity,CQ32022,0.99,3,2022,2022-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32022,0.76,3,2022,2022-09-30
+A,Agilent Technologies,Net Positivity,CQ32022,1.46,3,2022,2022-09-30
+AMGN,Amgen,Net Positivity,CQ32022,1.06,3,2022,2022-09-30
+BAX,Baxter International,Net Positivity,CQ32022,-0.16,3,2022,2022-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32022,1.97,3,2022,2022-09-30
+BIIB,Biogen,Net Positivity,CQ32022,0.61,3,2022,2022-09-30
+BSX,Boston Scientific,Net Positivity,CQ32022,1.22,3,2022,2022-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32022,1.61,3,2022,2022-09-30
+CVS,CVS Health,Net Positivity,CQ32022,1.52,3,2022,2022-09-30
+COR,Cencora,Net Positivity,CQ32022,,3,2022,2022-09-30
+CI,Cigna,Net Positivity,CQ32022,1.66,3,2022,2022-09-30
+DVA,DaVita,Net Positivity,CQ32022,0.28,3,2022,2022-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32022,0.89,3,2022,2022-09-30
+LLY,Eli Lilly,Net Positivity,CQ32022,0.93,3,2022,2022-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32022,1.07,3,2022,2022-09-30
+HUM,Humana,Net Positivity,CQ32022,1.49,3,2022,2022-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32022,0.71,3,2022,2022-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32022,1.95,3,2022,2022-09-30
+LH,Labcorp,Net Positivity,CQ32022,1.05,3,2022,2022-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32022,0.93,3,2022,2022-09-30
+MDT,Medtronic,Net Positivity,CQ32022,1.3,3,2022,2022-09-30
+MRK,Merck & Co.,Net Positivity,CQ32022,1.71,3,2022,2022-09-30
+PFE,Pfizer,Net Positivity,CQ32022,0.97,3,2022,2022-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32022,2.32,3,2022,2022-09-30
+WAT,Waters Corporation,Net Positivity,CQ32022,1.79,3,2022,2022-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32022,1.22,3,2022,2022-09-30
+MMM,3M,Net Positivity,CQ32022,1.01,3,2022,2022-09-30
+AME,Ametek,Net Positivity,CQ32022,1.57,3,2022,2022-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32022,1.11,3,2022,2022-09-30
+BA,Boeing,Net Positivity,CQ32022,1.01,3,2022,2022-09-30
+CSX,CSX Corporation,Net Positivity,CQ32022,0.64,3,2022,2022-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32022,0.99,3,2022,2022-09-30
+CTAS,Cintas,Net Positivity,CQ32022,1.35,3,2022,2022-09-30
+CMI,Cummins,Net Positivity,CQ32022,0.71,3,2022,2022-09-30
+DE,Deere & Company,Net Positivity,CQ32022,0.76,3,2022,2022-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32022,0.64,3,2022,2022-09-30
+EMR,Emerson Electric,Net Positivity,CQ32022,0.77,3,2022,2022-09-30
+EFX,Equifax,Net Positivity,CQ32022,0.34,3,2022,2022-09-30
+EXPD,Expeditors International,Net Positivity,CQ32022,,3,2022,2022-09-30
+FDX,FedEx,Net Positivity,CQ32022,0.48,3,2022,2022-09-30
+GE,GE Aerospace,Net Positivity,CQ32022,1.39,3,2022,2022-09-30
+GD,General Dynamics,Net Positivity,CQ32022,0.21,3,2022,2022-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32022,0.78,3,2022,2022-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32022,0.42,3,2022,2022-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32022,1.36,3,2022,2022-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32022,0.81,3,2022,2022-09-30
+PCAR,Paccar,Net Positivity,CQ32022,2.11,3,2022,2022-09-30
+RTX,RTX Corporation,Net Positivity,CQ32022,0.01,3,2022,2022-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32022,1.17,3,2022,2022-09-30
+ROP,Roper Technologies,Net Positivity,CQ32022,0.95,3,2022,2022-09-30
+SNA,Snap-on,Net Positivity,CQ32022,1.29,3,2022,2022-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32022,1.13,3,2022,2022-09-30
+UPS,United Parcel Service,Net Positivity,CQ32022,1.21,3,2022,2022-09-30
+WM,Waste Management,Net Positivity,CQ32022,0.93,3,2022,2022-09-30
+ACN,Accenture,Net Positivity,CQ32022,1.46,3,2022,2022-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32022,3.28,3,2022,2022-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32022,0.32,3,2022,2022-09-30
+APH,Amphenol,Net Positivity,CQ32022,1.34,3,2022,2022-09-30
+ADI,Analog Devices,Net Positivity,CQ32022,1.07,3,2022,2022-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32022,0.83,3,2022,2022-09-30
+AMAT,Applied Materials,Net Positivity,CQ32022,0.65,3,2022,2022-09-30
+ADSK,Autodesk,Net Positivity,CQ32022,1.24,3,2022,2022-09-30
+AVGO,Broadcom,Net Positivity,CQ32022,0.58,3,2022,2022-09-30
+CSCO,Cisco,Net Positivity,CQ32022,1.2,3,2022,2022-09-30
+CTSH,Cognizant,Net Positivity,CQ32022,0.93,3,2022,2022-09-30
+HPQ,HP Inc.,Net Positivity,CQ32022,0.49,3,2022,2022-09-30
+IBM,IBM,Net Positivity,CQ32022,0.59,3,2022,2022-09-30
+INTC,Intel,Net Positivity,CQ32022,1.46,3,2022,2022-09-30
+INTU,Intuit,Net Positivity,CQ32022,1.25,3,2022,2022-09-30
+LRCX,Lam Research,Net Positivity,CQ32022,1.08,3,2022,2022-09-30
+MU,Micron Technology,Net Positivity,CQ32022,-0.23,3,2022,2022-09-30
+MSFT,Microsoft,Net Positivity,CQ32022,0.52,3,2022,2022-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32022,0.94,3,2022,2022-09-30
+NTAP,NetApp,Net Positivity,CQ32022,1.54,3,2022,2022-09-30
+NVDA,Nvidia,Net Positivity,CQ32022,0.06,3,2022,2022-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32022,0.53,3,2022,2022-09-30
+TXN,Texas Instruments,Net Positivity,CQ32022,1.11,3,2022,2022-09-30
+APD,Air Products,Net Positivity,CQ32022,1.4,3,2022,2022-09-30
+AVY,Avery Dennison,Net Positivity,CQ32022,1.86,3,2022,2022-09-30
+ECL,Ecolab,Net Positivity,CQ32022,0.99,3,2022,2022-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32022,1.72,3,2022,2022-09-30
+IP,International Paper,Net Positivity,CQ32022,1.44,3,2022,2022-09-30
+LIN,Linde plc,Net Positivity,CQ32022,0.78,3,2022,2022-09-30
+NEM,Newmont,Net Positivity,CQ32022,0.36,3,2022,2022-09-30
+NUE,Nucor,Net Positivity,CQ32022,1.68,3,2022,2022-09-30
+AMT,American Tower,Net Positivity,CQ32022,1.04,3,2022,2022-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32022,0.61,3,2022,2022-09-30
+EQR,Equity Residential,Net Positivity,CQ32022,0.79,3,2022,2022-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32022,1.11,3,2022,2022-09-30
+IRM,Iron Mountain,Net Positivity,CQ32022,2.12,3,2022,2022-09-30
+PLD,Prologis,Net Positivity,CQ32022,0.47,3,2022,2022-09-30
+VTR,Ventas,Net Positivity,CQ32022,2.14,3,2022,2022-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32022,0.77,3,2022,2022-09-30
+AES,AES Corporation,Net Positivity,CQ32022,0.76,3,2022,2022-09-30
+AEE,Ameren,Net Positivity,CQ32022,1.44,3,2022,2022-09-30
+AEP,American Electric Power,Net Positivity,CQ32022,0.98,3,2022,2022-09-30
+CMS,CMS Energy,Net Positivity,CQ32022,1.21,3,2022,2022-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32022,1.33,3,2022,2022-09-30
+DUK,Duke Energy,Net Positivity,CQ32022,1.26,3,2022,2022-09-30
+EIX,Edison International,Net Positivity,CQ32022,0.85,3,2022,2022-09-30
+ETR,Entergy,Net Positivity,CQ32022,1.02,3,2022,2022-09-30
+EXC,Exelon,Net Positivity,CQ32022,1.22,3,2022,2022-09-30
+NEE,NextEra Energy,Net Positivity,CQ32022,1.15,3,2022,2022-09-30
+SO,Southern Company,Net Positivity,CQ32022,0.62,3,2022,2022-09-30
+XEL,Xcel Energy,Net Positivity,CQ32022,1.43,3,2022,2022-09-30
+T,AT&T,Numeric Transeprency,CQ32022,1.52,3,2022,2022-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32022,1.31,3,2022,2022-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32022,,3,2022,2022-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32022,1.22,3,2022,2022-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32022,1.03,3,2022,2022-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32022,3.98,3,2022,2022-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32022,2.48,3,2022,2022-09-30
+VZ,Verizon,Numeric Transeprency,CQ32022,1.79,3,2022,2022-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32022,1.79,3,2022,2022-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32022,3.02,3,2022,2022-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32022,1.68,3,2022,2022-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32022,2.18,3,2022,2022-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32022,2.17,3,2022,2022-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32022,1.64,3,2022,2022-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32022,1.57,3,2022,2022-09-30
+GM,General Motors,Numeric Transeprency,CQ32022,2.02,3,2022,2022-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32022,2.14,3,2022,2022-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32022,1.64,3,2022,2022-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32022,1.69,3,2022,2022-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32022,1.1,3,2022,2022-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32022,1.73,3,2022,2022-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32022,2.01,3,2022,2022-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32022,1.48,3,2022,2022-09-30
+TGT,Target,Numeric Transeprency,CQ32022,1.13,3,2022,2022-09-30
+MO,Altria,Numeric Transeprency,CQ32022,1.61,3,2022,2022-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32022,1.67,3,2022,2022-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32022,1.14,3,2022,2022-09-30
+CLX,Clorox,Numeric Transeprency,CQ32022,1.4,3,2022,2022-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32022,0.95,3,2022,2022-09-30
+COST,Costco,Numeric Transeprency,CQ32022,3.14,3,2022,2022-09-30
+GIS,General Mills,Numeric Transeprency,CQ32022,0.72,3,2022,2022-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32022,0.87,3,2022,2022-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32022,0.74,3,2022,2022-09-30
+KR,Kroger,Numeric Transeprency,CQ32022,1.25,3,2022,2022-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32022,,3,2022,2022-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32022,0.61,3,2022,2022-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32022,2.4,3,2022,2022-09-30
+SYY,Sysco,Numeric Transeprency,CQ32022,1.99,3,2022,2022-09-30
+WMT,Walmart,Numeric Transeprency,CQ32022,1.29,3,2022,2022-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32022,2.23,3,2022,2022-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32022,,3,2022,2022-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32022,2.17,3,2022,2022-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32022,1.4,3,2022,2022-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32022,1.07,3,2022,2022-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32022,1.5,3,2022,2022-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32022,1.94,3,2022,2022-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32022,1.41,3,2022,2022-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32022,2.57,3,2022,2022-09-30
+AFL,Aflac,Numeric Transeprency,CQ32022,1.29,3,2022,2022-09-30
+ALL,Allstate,Numeric Transeprency,CQ32022,2.11,3,2022,2022-09-30
+AXP,American Express,Numeric Transeprency,CQ32022,1.91,3,2022,2022-09-30
+AIG,American International Group,Numeric Transeprency,CQ32022,4.08,3,2022,2022-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32022,2.7,3,2022,2022-09-30
+AON,Aon plc,Numeric Transeprency,CQ32022,1.64,3,2022,2022-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32022,2.23,3,2022,2022-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32022,3.51,3,2022,2022-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32022,,3,2022,2022-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32022,1.59,3,2022,2022-09-30
+CME,CME Group,Numeric Transeprency,CQ32022,2.05,3,2022,2022-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32022,,3,2022,2022-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32022,2.39,3,2022,2022-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32022,3.01,3,2022,2022-09-30
+C,Citigroup,Numeric Transeprency,CQ32022,2.22,3,2022,2022-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32022,1.76,3,2022,2022-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32022,2.88,3,2022,2022-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32022,3.44,3,2022,2022-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32022,2.04,3,2022,2022-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32022,2.14,3,2022,2022-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32022,1.58,3,2022,2022-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32022,1.79,3,2022,2022-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32022,3.0,3,2022,2022-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32022,3.28,3,2022,2022-09-30
+MA,Mastercard,Numeric Transeprency,CQ32022,1.88,3,2022,2022-09-30
+MET,MetLife,Numeric Transeprency,CQ32022,2.85,3,2022,2022-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32022,1.76,3,2022,2022-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32022,2.48,3,2022,2022-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32022,2.3,3,2022,2022-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32022,2.48,3,2022,2022-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32022,1.9,3,2022,2022-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32022,2.77,3,2022,2022-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32022,2.49,3,2022,2022-09-30
+STT,State Street,Numeric Transeprency,CQ32022,2.05,3,2022,2022-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32022,,3,2022,2022-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32022,2.16,3,2022,2022-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32022,2.19,3,2022,2022-09-30
+V,Visa,Numeric Transeprency,CQ32022,3.82,3,2022,2022-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32022,1.43,3,2022,2022-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32022,1.88,3,2022,2022-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32022,1.23,3,2022,2022-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32022,1.81,3,2022,2022-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32022,2.21,3,2022,2022-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32022,1.85,3,2022,2022-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32022,2.33,3,2022,2022-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32022,2.03,3,2022,2022-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32022,3.66,3,2022,2022-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32022,1.28,3,2022,2022-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32022,2.74,3,2022,2022-09-30
+COR,Cencora,Numeric Transeprency,CQ32022,,3,2022,2022-09-30
+CI,Cigna,Numeric Transeprency,CQ32022,2.19,3,2022,2022-09-30
+DVA,DaVita,Numeric Transeprency,CQ32022,2.1,3,2022,2022-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32022,2.23,3,2022,2022-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32022,1.76,3,2022,2022-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32022,2.48,3,2022,2022-09-30
+HUM,Humana,Numeric Transeprency,CQ32022,1.95,3,2022,2022-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32022,2.74,3,2022,2022-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32022,2.77,3,2022,2022-09-30
+LH,Labcorp,Numeric Transeprency,CQ32022,2.37,3,2022,2022-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32022,2.94,3,2022,2022-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32022,1.41,3,2022,2022-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32022,1.33,3,2022,2022-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32022,1.98,3,2022,2022-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32022,2.41,3,2022,2022-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32022,2.66,3,2022,2022-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32022,2.03,3,2022,2022-09-30
+MMM,3M,Numeric Transeprency,CQ32022,2.32,3,2022,2022-09-30
+AME,Ametek,Numeric Transeprency,CQ32022,2.47,3,2022,2022-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32022,2.2,3,2022,2022-09-30
+BA,Boeing,Numeric Transeprency,CQ32022,2.6,3,2022,2022-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32022,1.41,3,2022,2022-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32022,2.13,3,2022,2022-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32022,1.7,3,2022,2022-09-30
+CMI,Cummins,Numeric Transeprency,CQ32022,3.1,3,2022,2022-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32022,1.85,3,2022,2022-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32022,1.97,3,2022,2022-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32022,3.06,3,2022,2022-09-30
+EFX,Equifax,Numeric Transeprency,CQ32022,3.84,3,2022,2022-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32022,,3,2022,2022-09-30
+FDX,FedEx,Numeric Transeprency,CQ32022,1.84,3,2022,2022-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32022,2.09,3,2022,2022-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32022,2.43,3,2022,2022-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32022,3.68,3,2022,2022-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32022,2.69,3,2022,2022-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32022,1.28,3,2022,2022-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32022,1.36,3,2022,2022-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32022,1.6,3,2022,2022-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32022,2.44,3,2022,2022-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32022,2.2,3,2022,2022-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32022,2.33,3,2022,2022-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32022,3.25,3,2022,2022-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32022,2.95,3,2022,2022-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32022,2.69,3,2022,2022-09-30
+WM,Waste Management,Numeric Transeprency,CQ32022,2.65,3,2022,2022-09-30
+ACN,Accenture,Numeric Transeprency,CQ32022,3.45,3,2022,2022-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32022,1.59,3,2022,2022-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32022,2.29,3,2022,2022-09-30
+APH,Amphenol,Numeric Transeprency,CQ32022,1.64,3,2022,2022-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32022,2.3,3,2022,2022-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32022,1.7,3,2022,2022-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32022,1.93,3,2022,2022-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32022,1.1,3,2022,2022-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32022,3.96,3,2022,2022-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32022,2.54,3,2022,2022-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32022,1.63,3,2022,2022-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32022,2.32,3,2022,2022-09-30
+IBM,IBM,Numeric Transeprency,CQ32022,2.7,3,2022,2022-09-30
+INTC,Intel,Numeric Transeprency,CQ32022,1.81,3,2022,2022-09-30
+INTU,Intuit,Numeric Transeprency,CQ32022,2.59,3,2022,2022-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32022,1.32,3,2022,2022-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32022,1.3,3,2022,2022-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32022,3.26,3,2022,2022-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32022,2.6,3,2022,2022-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32022,2.01,3,2022,2022-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32022,1.59,3,2022,2022-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32022,2.51,3,2022,2022-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32022,2.7,3,2022,2022-09-30
+APD,Air Products,Numeric Transeprency,CQ32022,2.4,3,2022,2022-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32022,2.07,3,2022,2022-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32022,1.35,3,2022,2022-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32022,2.02,3,2022,2022-09-30
+IP,International Paper,Numeric Transeprency,CQ32022,1.46,3,2022,2022-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32022,1.73,3,2022,2022-09-30
+NEM,Newmont,Numeric Transeprency,CQ32022,1.87,3,2022,2022-09-30
+NUE,Nucor,Numeric Transeprency,CQ32022,1.94,3,2022,2022-09-30
+AMT,American Tower,Numeric Transeprency,CQ32022,2.83,3,2022,2022-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32022,2.76,3,2022,2022-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32022,1.58,3,2022,2022-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32022,2.62,3,2022,2022-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32022,1.76,3,2022,2022-09-30
+PLD,Prologis,Numeric Transeprency,CQ32022,2.65,3,2022,2022-09-30
+VTR,Ventas,Numeric Transeprency,CQ32022,2.8,3,2022,2022-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32022,1.72,3,2022,2022-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32022,2.42,3,2022,2022-09-30
+AEE,Ameren,Numeric Transeprency,CQ32022,2.93,3,2022,2022-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32022,1.97,3,2022,2022-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32022,2.59,3,2022,2022-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32022,2.7,3,2022,2022-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32022,1.89,3,2022,2022-09-30
+EIX,Edison International,Numeric Transeprency,CQ32022,2.74,3,2022,2022-09-30
+ETR,Entergy,Numeric Transeprency,CQ32022,1.28,3,2022,2022-09-30
+EXC,Exelon,Numeric Transeprency,CQ32022,2.56,3,2022,2022-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32022,2.87,3,2022,2022-09-30
+SO,Southern Company,Numeric Transeprency,CQ32022,1.78,3,2022,2022-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32022,2.08,3,2022,2022-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32022,26.92,3,2022,2022-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32022,14.29,3,2022,2022-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32022,,3,2022,2022-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32022,15.22,3,2022,2022-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32022,2.33,3,2022,2022-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32022,54.55,3,2022,2022-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32022,58.33,3,2022,2022-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32022,30.77,3,2022,2022-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32022,13.33,3,2022,2022-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32022,31.82,3,2022,2022-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32022,23.33,3,2022,2022-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32022,36.67,3,2022,2022-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32022,74.07,3,2022,2022-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32022,41.18,3,2022,2022-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32022,57.14,3,2022,2022-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32022,38.46,3,2022,2022-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32022,58.33,3,2022,2022-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32022,29.03,3,2022,2022-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32022,34.38,3,2022,2022-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32022,17.24,3,2022,2022-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32022,56.52,3,2022,2022-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32022,30.43,3,2022,2022-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32022,20.69,3,2022,2022-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32022,31.25,3,2022,2022-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32022,64.29,3,2022,2022-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32022,28.57,3,2022,2022-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32022,53.33,3,2022,2022-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32022,42.86,3,2022,2022-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32022,27.27,3,2022,2022-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32022,,3,2022,2022-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32022,61.11,3,2022,2022-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32022,63.16,3,2022,2022-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32022,35.29,3,2022,2022-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32022,31.58,3,2022,2022-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32022,25.0,3,2022,2022-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32022,,3,2022,2022-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32022,27.27,3,2022,2022-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32022,26.92,3,2022,2022-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32022,54.17,3,2022,2022-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32022,28.0,3,2022,2022-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32022,28.0,3,2022,2022-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32022,41.67,3,2022,2022-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32022,52.94,3,2022,2022-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32022,58.33,3,2022,2022-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32022,31.58,3,2022,2022-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32022,18.18,3,2022,2022-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32022,66.67,3,2022,2022-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32022,42.86,3,2022,2022-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32022,35.29,3,2022,2022-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32022,30.43,3,2022,2022-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32022,,3,2022,2022-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32022,66.67,3,2022,2022-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32022,,3,2022,2022-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32022,38.1,3,2022,2022-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32022,45.45,3,2022,2022-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32022,20.0,3,2022,2022-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32022,36.84,3,2022,2022-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32022,24.14,3,2022,2022-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32022,41.67,3,2022,2022-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32022,41.67,3,2022,2022-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32022,37.5,3,2022,2022-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32022,26.32,3,2022,2022-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32022,16.67,3,2022,2022-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32022,43.75,3,2022,2022-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32022,64.29,3,2022,2022-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32022,68.75,3,2022,2022-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32022,38.1,3,2022,2022-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32022,53.33,3,2022,2022-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32022,68.42,3,2022,2022-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32022,56.25,3,2022,2022-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32022,,3,2022,2022-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32022,45.0,3,2022,2022-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32022,38.89,3,2022,2022-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32022,28.13,3,2022,2022-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32022,37.5,3,2022,2022-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32022,52.38,3,2022,2022-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32022,36.84,3,2022,2022-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32022,46.67,3,2022,2022-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32022,52.17,3,2022,2022-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32022,38.46,3,2022,2022-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32022,31.03,3,2022,2022-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32022,52.17,3,2022,2022-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32022,60.0,3,2022,2022-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32022,27.27,3,2022,2022-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32022,,3,2022,2022-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32022,57.89,3,2022,2022-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32022,66.67,3,2022,2022-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32022,27.78,3,2022,2022-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32022,61.9,3,2022,2022-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32022,55.0,3,2022,2022-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32022,41.18,3,2022,2022-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32022,58.33,3,2022,2022-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32022,40.0,3,2022,2022-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32022,37.04,3,2022,2022-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32022,36.36,3,2022,2022-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32022,72.22,3,2022,2022-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32022,28.57,3,2022,2022-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32022,64.29,3,2022,2022-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32022,61.11,3,2022,2022-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32022,43.75,3,2022,2022-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32022,47.06,3,2022,2022-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32022,52.0,3,2022,2022-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32022,44.0,3,2022,2022-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32022,80.0,3,2022,2022-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32022,30.43,3,2022,2022-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32022,52.17,3,2022,2022-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32022,40.0,3,2022,2022-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32022,34.78,3,2022,2022-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32022,63.16,3,2022,2022-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32022,,3,2022,2022-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32022,53.33,3,2022,2022-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32022,38.89,3,2022,2022-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32022,46.15,3,2022,2022-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32022,57.14,3,2022,2022-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32022,56.0,3,2022,2022-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32022,82.35,3,2022,2022-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32022,37.5,3,2022,2022-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32022,34.78,3,2022,2022-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32022,70.0,3,2022,2022-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32022,57.14,3,2022,2022-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32022,25.0,3,2022,2022-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32022,31.03,3,2022,2022-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32022,60.0,3,2022,2022-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32022,27.27,3,2022,2022-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32022,78.57,3,2022,2022-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32022,36.36,3,2022,2022-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32022,24.32,3,2022,2022-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32022,48.0,3,2022,2022-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32022,34.62,3,2022,2022-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32022,40.0,3,2022,2022-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32022,42.31,3,2022,2022-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32022,20.0,3,2022,2022-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32022,42.86,3,2022,2022-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32022,42.86,3,2022,2022-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32022,11.76,3,2022,2022-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32022,44.44,3,2022,2022-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32022,47.83,3,2022,2022-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32022,18.18,3,2022,2022-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32022,12.2,3,2022,2022-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32022,66.67,3,2022,2022-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32022,47.83,3,2022,2022-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32022,25.58,3,2022,2022-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32022,16.0,3,2022,2022-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32022,25.93,3,2022,2022-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32022,36.84,3,2022,2022-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32022,38.46,3,2022,2022-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32022,61.9,3,2022,2022-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32022,66.67,3,2022,2022-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32022,53.85,3,2022,2022-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32022,40.0,3,2022,2022-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32022,38.46,3,2022,2022-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32022,50.0,3,2022,2022-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32022,22.22,3,2022,2022-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32022,11.11,3,2022,2022-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32022,33.33,3,2022,2022-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32022,66.67,3,2022,2022-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32022,71.43,3,2022,2022-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32022,42.86,3,2022,2022-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32022,80.0,3,2022,2022-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32022,23.08,3,2022,2022-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32022,25.0,3,2022,2022-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32022,44.44,3,2022,2022-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32022,22.22,3,2022,2022-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32022,22.22,3,2022,2022-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32022,38.89,3,2022,2022-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32022,25.0,3,2022,2022-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32022,17.65,3,2022,2022-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32022,23.53,3,2022,2022-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32022,30.0,3,2022,2022-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32022,38.89,3,2022,2022-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32022,25.0,3,2022,2022-09-30
+T,AT&T,Language Complexity,CQ32022,12.16,3,2022,2022-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32022,12.39,3,2022,2022-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32022,,3,2022,2022-09-30
+META,Meta Platforms,Language Complexity,CQ32022,12.05,3,2022,2022-09-30
+NFLX,Netflix,Language Complexity,CQ32022,10.8,3,2022,2022-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32022,15.28,3,2022,2022-09-30
+OMC,Omnicom Group,Language Complexity,CQ32022,12.77,3,2022,2022-09-30
+VZ,Verizon,Language Complexity,CQ32022,11.84,3,2022,2022-09-30
+AMZN,Amazon,Language Complexity,CQ32022,12.65,3,2022,2022-09-30
+AZO,AutoZone,Language Complexity,CQ32022,12.25,3,2022,2022-09-30
+BBY,Best Buy,Language Complexity,CQ32022,13.44,3,2022,2022-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32022,11.4,3,2022,2022-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32022,11.38,3,2022,2022-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32022,10.82,3,2022,2022-09-30
+F,Ford Motor Company,Language Complexity,CQ32022,10.57,3,2022,2022-09-30
+GM,General Motors,Language Complexity,CQ32022,12.17,3,2022,2022-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32022,12.86,3,2022,2022-09-30
+HAS,Hasbro,Language Complexity,CQ32022,11.71,3,2022,2022-09-30
+LOW,Lowe's,Language Complexity,CQ32022,12.71,3,2022,2022-09-30
+MCD,McDonald's,Language Complexity,CQ32022,12.69,3,2022,2022-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32022,14.24,3,2022,2022-09-30
+ROST,Ross Stores,Language Complexity,CQ32022,10.91,3,2022,2022-09-30
+TJX,TJX Companies,Language Complexity,CQ32022,11.96,3,2022,2022-09-30
+TGT,Target,Language Complexity,CQ32022,14.84,3,2022,2022-09-30
+MO,Altria,Language Complexity,CQ32022,13.62,3,2022,2022-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32022,11.39,3,2022,2022-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32022,12.3,3,2022,2022-09-30
+CLX,Clorox,Language Complexity,CQ32022,11.04,3,2022,2022-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32022,13.29,3,2022,2022-09-30
+COST,Costco,Language Complexity,CQ32022,10.05,3,2022,2022-09-30
+GIS,General Mills,Language Complexity,CQ32022,10.72,3,2022,2022-09-30
+HSY,Hershey Company,Language Complexity,CQ32022,10.5,3,2022,2022-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32022,10.17,3,2022,2022-09-30
+KR,Kroger,Language Complexity,CQ32022,12.91,3,2022,2022-09-30
+MKC,McCormick & Company,Language Complexity,CQ32022,,3,2022,2022-09-30
+PEP,PepsiCo,Language Complexity,CQ32022,11.9,3,2022,2022-09-30
+PG,Procter & Gamble,Language Complexity,CQ32022,13.01,3,2022,2022-09-30
+SYY,Sysco,Language Complexity,CQ32022,13.05,3,2022,2022-09-30
+WMT,Walmart,Language Complexity,CQ32022,11.63,3,2022,2022-09-30
+APA,APA Corporation,Language Complexity,CQ32022,10.84,3,2022,2022-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32022,,3,2022,2022-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32022,11.33,3,2022,2022-09-30
+EOG,EOG Resources,Language Complexity,CQ32022,13.45,3,2022,2022-09-30
+XOM,ExxonMobil,Language Complexity,CQ32022,12.83,3,2022,2022-09-30
+HAL,Halliburton,Language Complexity,CQ32022,13.73,3,2022,2022-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32022,12.92,3,2022,2022-09-30
+SLB,Schlumberger,Language Complexity,CQ32022,13.69,3,2022,2022-09-30
+VLO,Valero Energy,Language Complexity,CQ32022,11.13,3,2022,2022-09-30
+AFL,Aflac,Language Complexity,CQ32022,13.16,3,2022,2022-09-30
+ALL,Allstate,Language Complexity,CQ32022,12.59,3,2022,2022-09-30
+AXP,American Express,Language Complexity,CQ32022,11.8,3,2022,2022-09-30
+AIG,American International Group,Language Complexity,CQ32022,15.79,3,2022,2022-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32022,11.45,3,2022,2022-09-30
+AON,Aon plc,Language Complexity,CQ32022,14.06,3,2022,2022-09-30
+BK,BNY Mellon,Language Complexity,CQ32022,12.37,3,2022,2022-09-30
+BAC,Bank of America,Language Complexity,CQ32022,11.66,3,2022,2022-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32022,,3,2022,2022-09-30
+BLK,BlackRock,Language Complexity,CQ32022,15.39,3,2022,2022-09-30
+CME,CME Group,Language Complexity,CQ32022,11.0,3,2022,2022-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32022,,3,2022,2022-09-30
+CB,Chubb Limited,Language Complexity,CQ32022,10.91,3,2022,2022-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32022,12.28,3,2022,2022-09-30
+C,Citigroup,Language Complexity,CQ32022,12.23,3,2022,2022-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32022,12.43,3,2022,2022-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32022,13.72,3,2022,2022-09-30
+FISV,Fiserv,Language Complexity,CQ32022,12.31,3,2022,2022-09-30
+GS,Goldman Sachs,Language Complexity,CQ32022,12.78,3,2022,2022-09-30
+HIG,Hartford Financial,Language Complexity,CQ32022,12.69,3,2022,2022-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32022,13.3,3,2022,2022-09-30
+IVZ,Invesco,Language Complexity,CQ32022,12.35,3,2022,2022-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32022,9.59,3,2022,2022-09-30
+KEY,KeyCorp,Language Complexity,CQ32022,12.22,3,2022,2022-09-30
+MA,Mastercard,Language Complexity,CQ32022,12.56,3,2022,2022-09-30
+MET,MetLife,Language Complexity,CQ32022,12.44,3,2022,2022-09-30
+MS,Morgan Stanley,Language Complexity,CQ32022,11.33,3,2022,2022-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32022,12.86,3,2022,2022-09-30
+NTRS,Northern Trust,Language Complexity,CQ32022,11.11,3,2022,2022-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32022,10.03,3,2022,2022-09-30
+PRU,Prudential Financial,Language Complexity,CQ32022,13.68,3,2022,2022-09-30
+RF,Regions Financial,Language Complexity,CQ32022,11.85,3,2022,2022-09-30
+SPGI,S&P Global,Language Complexity,CQ32022,13.38,3,2022,2022-09-30
+STT,State Street,Language Complexity,CQ32022,12.51,3,2022,2022-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32022,,3,2022,2022-09-30
+TRV,Travelers Companies,Language Complexity,CQ32022,12.41,3,2022,2022-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32022,11.54,3,2022,2022-09-30
+V,Visa,Language Complexity,CQ32022,12.41,3,2022,2022-09-30
+WFC,Wells Fargo,Language Complexity,CQ32022,12.22,3,2022,2022-09-30
+ABBV,AbbVie,Language Complexity,CQ32022,12.33,3,2022,2022-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32022,11.6,3,2022,2022-09-30
+A,Agilent Technologies,Language Complexity,CQ32022,9.99,3,2022,2022-09-30
+AMGN,Amgen,Language Complexity,CQ32022,12.06,3,2022,2022-09-30
+BAX,Baxter International,Language Complexity,CQ32022,12.66,3,2022,2022-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32022,13.67,3,2022,2022-09-30
+BIIB,Biogen,Language Complexity,CQ32022,13.48,3,2022,2022-09-30
+BSX,Boston Scientific,Language Complexity,CQ32022,11.75,3,2022,2022-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32022,12.5,3,2022,2022-09-30
+CVS,CVS Health,Language Complexity,CQ32022,13.21,3,2022,2022-09-30
+COR,Cencora,Language Complexity,CQ32022,,3,2022,2022-09-30
+CI,Cigna,Language Complexity,CQ32022,14.72,3,2022,2022-09-30
+DVA,DaVita,Language Complexity,CQ32022,10.83,3,2022,2022-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32022,12.71,3,2022,2022-09-30
+LLY,Eli Lilly,Language Complexity,CQ32022,12.18,3,2022,2022-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32022,12.35,3,2022,2022-09-30
+HUM,Humana,Language Complexity,CQ32022,14.71,3,2022,2022-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32022,13.36,3,2022,2022-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32022,14.31,3,2022,2022-09-30
+LH,Labcorp,Language Complexity,CQ32022,13.54,3,2022,2022-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32022,14.97,3,2022,2022-09-30
+MDT,Medtronic,Language Complexity,CQ32022,11.75,3,2022,2022-09-30
+MRK,Merck & Co.,Language Complexity,CQ32022,13.76,3,2022,2022-09-30
+PFE,Pfizer,Language Complexity,CQ32022,12.39,3,2022,2022-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32022,12.06,3,2022,2022-09-30
+WAT,Waters Corporation,Language Complexity,CQ32022,11.94,3,2022,2022-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32022,10.82,3,2022,2022-09-30
+MMM,3M,Language Complexity,CQ32022,12.5,3,2022,2022-09-30
+AME,Ametek,Language Complexity,CQ32022,11.23,3,2022,2022-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32022,12.43,3,2022,2022-09-30
+BA,Boeing,Language Complexity,CQ32022,11.02,3,2022,2022-09-30
+CSX,CSX Corporation,Language Complexity,CQ32022,11.78,3,2022,2022-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32022,13.09,3,2022,2022-09-30
+CTAS,Cintas,Language Complexity,CQ32022,10.27,3,2022,2022-09-30
+CMI,Cummins,Language Complexity,CQ32022,12.63,3,2022,2022-09-30
+DE,Deere & Company,Language Complexity,CQ32022,11.99,3,2022,2022-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32022,11.98,3,2022,2022-09-30
+EMR,Emerson Electric,Language Complexity,CQ32022,12.95,3,2022,2022-09-30
+EFX,Equifax,Language Complexity,CQ32022,13.24,3,2022,2022-09-30
+EXPD,Expeditors International,Language Complexity,CQ32022,,3,2022,2022-09-30
+FDX,FedEx,Language Complexity,CQ32022,12.0,3,2022,2022-09-30
+GE,GE Aerospace,Language Complexity,CQ32022,12.74,3,2022,2022-09-30
+GD,General Dynamics,Language Complexity,CQ32022,11.29,3,2022,2022-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32022,11.89,3,2022,2022-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32022,11.98,3,2022,2022-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32022,12.17,3,2022,2022-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32022,12.53,3,2022,2022-09-30
+PCAR,Paccar,Language Complexity,CQ32022,9.4,3,2022,2022-09-30
+RTX,RTX Corporation,Language Complexity,CQ32022,11.78,3,2022,2022-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32022,12.19,3,2022,2022-09-30
+ROP,Roper Technologies,Language Complexity,CQ32022,11.19,3,2022,2022-09-30
+SNA,Snap-on,Language Complexity,CQ32022,11.63,3,2022,2022-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32022,14.87,3,2022,2022-09-30
+UPS,United Parcel Service,Language Complexity,CQ32022,11.04,3,2022,2022-09-30
+WM,Waste Management,Language Complexity,CQ32022,11.37,3,2022,2022-09-30
+ACN,Accenture,Language Complexity,CQ32022,13.11,3,2022,2022-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32022,14.85,3,2022,2022-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32022,11.83,3,2022,2022-09-30
+APH,Amphenol,Language Complexity,CQ32022,12.82,3,2022,2022-09-30
+ADI,Analog Devices,Language Complexity,CQ32022,12.19,3,2022,2022-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32022,11.94,3,2022,2022-09-30
+AMAT,Applied Materials,Language Complexity,CQ32022,12.17,3,2022,2022-09-30
+ADSK,Autodesk,Language Complexity,CQ32022,13.49,3,2022,2022-09-30
+AVGO,Broadcom,Language Complexity,CQ32022,10.92,3,2022,2022-09-30
+CSCO,Cisco,Language Complexity,CQ32022,11.35,3,2022,2022-09-30
+CTSH,Cognizant,Language Complexity,CQ32022,14.3,3,2022,2022-09-30
+HPQ,HP Inc.,Language Complexity,CQ32022,13.27,3,2022,2022-09-30
+IBM,IBM,Language Complexity,CQ32022,12.12,3,2022,2022-09-30
+INTC,Intel,Language Complexity,CQ32022,12.99,3,2022,2022-09-30
+INTU,Intuit,Language Complexity,CQ32022,11.9,3,2022,2022-09-30
+LRCX,Lam Research,Language Complexity,CQ32022,11.99,3,2022,2022-09-30
+MU,Micron Technology,Language Complexity,CQ32022,11.13,3,2022,2022-09-30
+MSFT,Microsoft,Language Complexity,CQ32022,13.95,3,2022,2022-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32022,12.12,3,2022,2022-09-30
+NTAP,NetApp,Language Complexity,CQ32022,11.23,3,2022,2022-09-30
+NVDA,Nvidia,Language Complexity,CQ32022,11.45,3,2022,2022-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32022,13.08,3,2022,2022-09-30
+TXN,Texas Instruments,Language Complexity,CQ32022,10.25,3,2022,2022-09-30
+APD,Air Products,Language Complexity,CQ32022,12.03,3,2022,2022-09-30
+AVY,Avery Dennison,Language Complexity,CQ32022,12.53,3,2022,2022-09-30
+ECL,Ecolab,Language Complexity,CQ32022,10.83,3,2022,2022-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32022,14.5,3,2022,2022-09-30
+IP,International Paper,Language Complexity,CQ32022,11.62,3,2022,2022-09-30
+LIN,Linde plc,Language Complexity,CQ32022,11.98,3,2022,2022-09-30
+NEM,Newmont,Language Complexity,CQ32022,14.0,3,2022,2022-09-30
+NUE,Nucor,Language Complexity,CQ32022,12.0,3,2022,2022-09-30
+AMT,American Tower,Language Complexity,CQ32022,15.06,3,2022,2022-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32022,12.4,3,2022,2022-09-30
+EQR,Equity Residential,Language Complexity,CQ32022,11.64,3,2022,2022-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32022,10.52,3,2022,2022-09-30
+IRM,Iron Mountain,Language Complexity,CQ32022,13.61,3,2022,2022-09-30
+PLD,Prologis,Language Complexity,CQ32022,10.57,3,2022,2022-09-30
+VTR,Ventas,Language Complexity,CQ32022,11.68,3,2022,2022-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32022,12.22,3,2022,2022-09-30
+AES,AES Corporation,Language Complexity,CQ32022,11.32,3,2022,2022-09-30
+AEE,Ameren,Language Complexity,CQ32022,14.13,3,2022,2022-09-30
+AEP,American Electric Power,Language Complexity,CQ32022,13.33,3,2022,2022-09-30
+CMS,CMS Energy,Language Complexity,CQ32022,12.05,3,2022,2022-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32022,13.42,3,2022,2022-09-30
+DUK,Duke Energy,Language Complexity,CQ32022,13.07,3,2022,2022-09-30
+EIX,Edison International,Language Complexity,CQ32022,12.88,3,2022,2022-09-30
+ETR,Entergy,Language Complexity,CQ32022,13.63,3,2022,2022-09-30
+EXC,Exelon,Language Complexity,CQ32022,13.42,3,2022,2022-09-30
+NEE,NextEra Energy,Language Complexity,CQ32022,15.23,3,2022,2022-09-30
+SO,Southern Company,Language Complexity,CQ32022,11.32,3,2022,2022-09-30
+XEL,Xcel Energy,Language Complexity,CQ32022,12.76,3,2022,2022-09-30
+T,AT&T,Net Positivity,CQ42022,1.6,4,2022,2022-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42022,1.35,4,2022,2022-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42022,,4,2022,2022-12-31
+META,Meta Platforms,Net Positivity,CQ42022,1.09,4,2022,2022-12-31
+NFLX,Netflix,Net Positivity,CQ42022,1.49,4,2022,2022-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42022,1.07,4,2022,2022-12-31
+OMC,Omnicom Group,Net Positivity,CQ42022,1.32,4,2022,2022-12-31
+VZ,Verizon,Net Positivity,CQ42022,1.41,4,2022,2022-12-31
+AMZN,Amazon,Net Positivity,CQ42022,1.34,4,2022,2022-12-31
+AZO,AutoZone,Net Positivity,CQ42022,1.39,4,2022,2022-12-31
+BBY,Best Buy,Net Positivity,CQ42022,0.99,4,2022,2022-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42022,1.42,4,2022,2022-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42022,1.52,4,2022,2022-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42022,1.31,4,2022,2022-12-31
+F,Ford Motor Company,Net Positivity,CQ42022,1.15,4,2022,2022-12-31
+GM,General Motors,Net Positivity,CQ42022,1.23,4,2022,2022-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42022,2.05,4,2022,2022-12-31
+HAS,Hasbro,Net Positivity,CQ42022,1.27,4,2022,2022-12-31
+LOW,Lowe's,Net Positivity,CQ42022,1.65,4,2022,2022-12-31
+MCD,McDonald's,Net Positivity,CQ42022,1.51,4,2022,2022-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42022,2.26,4,2022,2022-12-31
+ROST,Ross Stores,Net Positivity,CQ42022,1.23,4,2022,2022-12-31
+TJX,TJX Companies,Net Positivity,CQ42022,2.04,4,2022,2022-12-31
+TGT,Target,Net Positivity,CQ42022,0.98,4,2022,2022-12-31
+MO,Altria,Net Positivity,CQ42022,1.14,4,2022,2022-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42022,1.28,4,2022,2022-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42022,1.14,4,2022,2022-12-31
+CLX,Clorox,Net Positivity,CQ42022,0.61,4,2022,2022-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42022,1.49,4,2022,2022-12-31
+COST,Costco,Net Positivity,CQ42022,0.61,4,2022,2022-12-31
+GIS,General Mills,Net Positivity,CQ42022,1.19,4,2022,2022-12-31
+HSY,Hershey Company,Net Positivity,CQ42022,0.93,4,2022,2022-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42022,0.43,4,2022,2022-12-31
+KR,Kroger,Net Positivity,CQ42022,1.52,4,2022,2022-12-31
+MKC,McCormick & Company,Net Positivity,CQ42022,0.5,4,2022,2022-12-31
+PEP,PepsiCo,Net Positivity,CQ42022,1.41,4,2022,2022-12-31
+PG,Procter & Gamble,Net Positivity,CQ42022,0.75,4,2022,2022-12-31
+SYY,Sysco,Net Positivity,CQ42022,1.91,4,2022,2022-12-31
+WMT,Walmart,Net Positivity,CQ42022,1.59,4,2022,2022-12-31
+APA,APA Corporation,Net Positivity,CQ42022,0.5,4,2022,2022-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42022,,4,2022,2022-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42022,0.7,4,2022,2022-12-31
+EOG,EOG Resources,Net Positivity,CQ42022,1.08,4,2022,2022-12-31
+XOM,ExxonMobil,Net Positivity,CQ42022,0.7,4,2022,2022-12-31
+HAL,Halliburton,Net Positivity,CQ42022,1.63,4,2022,2022-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42022,1.37,4,2022,2022-12-31
+SLB,Schlumberger,Net Positivity,CQ42022,1.59,4,2022,2022-12-31
+VLO,Valero Energy,Net Positivity,CQ42022,0.34,4,2022,2022-12-31
+AFL,Aflac,Net Positivity,CQ42022,0.56,4,2022,2022-12-31
+ALL,Allstate,Net Positivity,CQ42022,-0.96,4,2022,2022-12-31
+AXP,American Express,Net Positivity,CQ42022,0.99,4,2022,2022-12-31
+AIG,American International Group,Net Positivity,CQ42022,0.19,4,2022,2022-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42022,1.01,4,2022,2022-12-31
+AON,Aon plc,Net Positivity,CQ42022,1.59,4,2022,2022-12-31
+BK,BNY Mellon,Net Positivity,CQ42022,0.54,4,2022,2022-12-31
+BAC,Bank of America,Net Positivity,CQ42022,0.27,4,2022,2022-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42022,,4,2022,2022-12-31
+BLK,BlackRock,Net Positivity,CQ42022,0.76,4,2022,2022-12-31
+CME,CME Group,Net Positivity,CQ42022,1.13,4,2022,2022-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42022,,4,2022,2022-12-31
+CB,Chubb Limited,Net Positivity,CQ42022,-0.05,4,2022,2022-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42022,-0.63,4,2022,2022-12-31
+C,Citigroup,Net Positivity,CQ42022,0.23,4,2022,2022-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42022,0.89,4,2022,2022-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42022,1.09,4,2022,2022-12-31
+FISV,Fiserv,Net Positivity,CQ42022,2.01,4,2022,2022-12-31
+GS,Goldman Sachs,Net Positivity,CQ42022,1.36,4,2022,2022-12-31
+HIG,Hartford Financial,Net Positivity,CQ42022,0.14,4,2022,2022-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42022,0.9,4,2022,2022-12-31
+IVZ,Invesco,Net Positivity,CQ42022,0.51,4,2022,2022-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42022,-0.61,4,2022,2022-12-31
+KEY,KeyCorp,Net Positivity,CQ42022,0.11,4,2022,2022-12-31
+MA,Mastercard,Net Positivity,CQ42022,1.24,4,2022,2022-12-31
+MET,MetLife,Net Positivity,CQ42022,1.09,4,2022,2022-12-31
+MS,Morgan Stanley,Net Positivity,CQ42022,0.23,4,2022,2022-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42022,1.02,4,2022,2022-12-31
+NTRS,Northern Trust,Net Positivity,CQ42022,-0.32,4,2022,2022-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42022,0.0,4,2022,2022-12-31
+PRU,Prudential Financial,Net Positivity,CQ42022,1.49,4,2022,2022-12-31
+RF,Regions Financial,Net Positivity,CQ42022,0.16,4,2022,2022-12-31
+SPGI,S&P Global,Net Positivity,CQ42022,0.84,4,2022,2022-12-31
+STT,State Street,Net Positivity,CQ42022,0.31,4,2022,2022-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42022,,4,2022,2022-12-31
+TRV,Travelers Companies,Net Positivity,CQ42022,0.71,4,2022,2022-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42022,0.75,4,2022,2022-12-31
+V,Visa,Net Positivity,CQ42022,0.36,4,2022,2022-12-31
+WFC,Wells Fargo,Net Positivity,CQ42022,-0.17,4,2022,2022-12-31
+ABBV,AbbVie,Net Positivity,CQ42022,0.84,4,2022,2022-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42022,0.7,4,2022,2022-12-31
+A,Agilent Technologies,Net Positivity,CQ42022,1.26,4,2022,2022-12-31
+AMGN,Amgen,Net Positivity,CQ42022,0.4,4,2022,2022-12-31
+BAX,Baxter International,Net Positivity,CQ42022,0.4,4,2022,2022-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42022,1.97,4,2022,2022-12-31
+BIIB,Biogen,Net Positivity,CQ42022,0.6,4,2022,2022-12-31
+BSX,Boston Scientific,Net Positivity,CQ42022,1.16,4,2022,2022-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42022,1.21,4,2022,2022-12-31
+CVS,CVS Health,Net Positivity,CQ42022,1.24,4,2022,2022-12-31
+COR,Cencora,Net Positivity,CQ42022,,4,2022,2022-12-31
+CI,Cigna,Net Positivity,CQ42022,2.38,4,2022,2022-12-31
+DVA,DaVita,Net Positivity,CQ42022,-0.48,4,2022,2022-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42022,1.48,4,2022,2022-12-31
+LLY,Eli Lilly,Net Positivity,CQ42022,0.82,4,2022,2022-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42022,1.25,4,2022,2022-12-31
+HUM,Humana,Net Positivity,CQ42022,1.62,4,2022,2022-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42022,0.76,4,2022,2022-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42022,1.09,4,2022,2022-12-31
+LH,Labcorp,Net Positivity,CQ42022,0.43,4,2022,2022-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42022,1.01,4,2022,2022-12-31
+MDT,Medtronic,Net Positivity,CQ42022,0.7,4,2022,2022-12-31
+MRK,Merck & Co.,Net Positivity,CQ42022,1.96,4,2022,2022-12-31
+PFE,Pfizer,Net Positivity,CQ42022,1.05,4,2022,2022-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42022,2.19,4,2022,2022-12-31
+WAT,Waters Corporation,Net Positivity,CQ42022,1.85,4,2022,2022-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42022,1.22,4,2022,2022-12-31
+MMM,3M,Net Positivity,CQ42022,1.01,4,2022,2022-12-31
+AME,Ametek,Net Positivity,CQ42022,2.1,4,2022,2022-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42022,1.42,4,2022,2022-12-31
+BA,Boeing,Net Positivity,CQ42022,0.6,4,2022,2022-12-31
+CSX,CSX Corporation,Net Positivity,CQ42022,1.7,4,2022,2022-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42022,1.03,4,2022,2022-12-31
+CTAS,Cintas,Net Positivity,CQ42022,1.28,4,2022,2022-12-31
+CMI,Cummins,Net Positivity,CQ42022,1.17,4,2022,2022-12-31
+DE,Deere & Company,Net Positivity,CQ42022,0.94,4,2022,2022-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42022,1.11,4,2022,2022-12-31
+EMR,Emerson Electric,Net Positivity,CQ42022,1.44,4,2022,2022-12-31
+EFX,Equifax,Net Positivity,CQ42022,0.65,4,2022,2022-12-31
+EXPD,Expeditors International,Net Positivity,CQ42022,,4,2022,2022-12-31
+FDX,FedEx,Net Positivity,CQ42022,1.47,4,2022,2022-12-31
+GE,GE Aerospace,Net Positivity,CQ42022,1.32,4,2022,2022-12-31
+GD,General Dynamics,Net Positivity,CQ42022,0.54,4,2022,2022-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42022,0.57,4,2022,2022-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42022,0.75,4,2022,2022-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42022,1.31,4,2022,2022-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42022,0.83,4,2022,2022-12-31
+PCAR,Paccar,Net Positivity,CQ42022,1.99,4,2022,2022-12-31
+RTX,RTX Corporation,Net Positivity,CQ42022,0.61,4,2022,2022-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42022,0.75,4,2022,2022-12-31
+ROP,Roper Technologies,Net Positivity,CQ42022,1.4,4,2022,2022-12-31
+SNA,Snap-on,Net Positivity,CQ42022,0.95,4,2022,2022-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42022,1.06,4,2022,2022-12-31
+UPS,United Parcel Service,Net Positivity,CQ42022,1.64,4,2022,2022-12-31
+WM,Waste Management,Net Positivity,CQ42022,0.94,4,2022,2022-12-31
+ACN,Accenture,Net Positivity,CQ42022,1.24,4,2022,2022-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42022,2.83,4,2022,2022-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42022,0.45,4,2022,2022-12-31
+APH,Amphenol,Net Positivity,CQ42022,1.26,4,2022,2022-12-31
+ADI,Analog Devices,Net Positivity,CQ42022,1.02,4,2022,2022-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42022,1.64,4,2022,2022-12-31
+AMAT,Applied Materials,Net Positivity,CQ42022,1.0,4,2022,2022-12-31
+ADSK,Autodesk,Net Positivity,CQ42022,0.89,4,2022,2022-12-31
+AVGO,Broadcom,Net Positivity,CQ42022,0.13,4,2022,2022-12-31
+CSCO,Cisco,Net Positivity,CQ42022,1.0,4,2022,2022-12-31
+CTSH,Cognizant,Net Positivity,CQ42022,0.1,4,2022,2022-12-31
+HPQ,HP Inc.,Net Positivity,CQ42022,0.87,4,2022,2022-12-31
+IBM,IBM,Net Positivity,CQ42022,1.05,4,2022,2022-12-31
+INTC,Intel,Net Positivity,CQ42022,1.82,4,2022,2022-12-31
+INTU,Intuit,Net Positivity,CQ42022,1.08,4,2022,2022-12-31
+LRCX,Lam Research,Net Positivity,CQ42022,0.66,4,2022,2022-12-31
+MU,Micron Technology,Net Positivity,CQ42022,-0.2,4,2022,2022-12-31
+MSFT,Microsoft,Net Positivity,CQ42022,0.72,4,2022,2022-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42022,0.61,4,2022,2022-12-31
+NTAP,NetApp,Net Positivity,CQ42022,0.78,4,2022,2022-12-31
+NVDA,Nvidia,Net Positivity,CQ42022,0.71,4,2022,2022-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42022,0.75,4,2022,2022-12-31
+TXN,Texas Instruments,Net Positivity,CQ42022,0.35,4,2022,2022-12-31
+APD,Air Products,Net Positivity,CQ42022,1.01,4,2022,2022-12-31
+AVY,Avery Dennison,Net Positivity,CQ42022,1.4,4,2022,2022-12-31
+ECL,Ecolab,Net Positivity,CQ42022,1.41,4,2022,2022-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42022,0.82,4,2022,2022-12-31
+IP,International Paper,Net Positivity,CQ42022,0.5,4,2022,2022-12-31
+LIN,Linde plc,Net Positivity,CQ42022,0.48,4,2022,2022-12-31
+NEM,Newmont,Net Positivity,CQ42022,0.69,4,2022,2022-12-31
+NUE,Nucor,Net Positivity,CQ42022,1.08,4,2022,2022-12-31
+AMT,American Tower,Net Positivity,CQ42022,0.84,4,2022,2022-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42022,0.54,4,2022,2022-12-31
+EQR,Equity Residential,Net Positivity,CQ42022,0.2,4,2022,2022-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42022,0.99,4,2022,2022-12-31
+IRM,Iron Mountain,Net Positivity,CQ42022,1.61,4,2022,2022-12-31
+PLD,Prologis,Net Positivity,CQ42022,0.0,4,2022,2022-12-31
+VTR,Ventas,Net Positivity,CQ42022,1.77,4,2022,2022-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42022,0.07,4,2022,2022-12-31
+AES,AES Corporation,Net Positivity,CQ42022,1.02,4,2022,2022-12-31
+AEE,Ameren,Net Positivity,CQ42022,1.86,4,2022,2022-12-31
+AEP,American Electric Power,Net Positivity,CQ42022,0.8,4,2022,2022-12-31
+CMS,CMS Energy,Net Positivity,CQ42022,1.28,4,2022,2022-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42022,1.21,4,2022,2022-12-31
+DUK,Duke Energy,Net Positivity,CQ42022,1.21,4,2022,2022-12-31
+EIX,Edison International,Net Positivity,CQ42022,-0.02,4,2022,2022-12-31
+ETR,Entergy,Net Positivity,CQ42022,1.35,4,2022,2022-12-31
+EXC,Exelon,Net Positivity,CQ42022,1.34,4,2022,2022-12-31
+NEE,NextEra Energy,Net Positivity,CQ42022,1.12,4,2022,2022-12-31
+SO,Southern Company,Net Positivity,CQ42022,0.57,4,2022,2022-12-31
+XEL,Xcel Energy,Net Positivity,CQ42022,1.53,4,2022,2022-12-31
+T,AT&T,Numeric Transeprency,CQ42022,1.32,4,2022,2022-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42022,1.5,4,2022,2022-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42022,,4,2022,2022-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42022,2.07,4,2022,2022-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42022,0.97,4,2022,2022-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42022,3.63,4,2022,2022-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42022,2.23,4,2022,2022-12-31
+VZ,Verizon,Numeric Transeprency,CQ42022,1.89,4,2022,2022-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42022,1.53,4,2022,2022-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42022,2.4,4,2022,2022-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42022,1.32,4,2022,2022-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42022,2.55,4,2022,2022-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42022,2.01,4,2022,2022-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42022,1.83,4,2022,2022-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42022,1.71,4,2022,2022-12-31
+GM,General Motors,Numeric Transeprency,CQ42022,2.13,4,2022,2022-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42022,2.35,4,2022,2022-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42022,1.81,4,2022,2022-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42022,1.92,4,2022,2022-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42022,1.22,4,2022,2022-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42022,1.48,4,2022,2022-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42022,2.09,4,2022,2022-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42022,1.39,4,2022,2022-12-31
+TGT,Target,Numeric Transeprency,CQ42022,1.62,4,2022,2022-12-31
+MO,Altria,Numeric Transeprency,CQ42022,1.92,4,2022,2022-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42022,1.82,4,2022,2022-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42022,1.49,4,2022,2022-12-31
+CLX,Clorox,Numeric Transeprency,CQ42022,0.92,4,2022,2022-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42022,1.09,4,2022,2022-12-31
+COST,Costco,Numeric Transeprency,CQ42022,3.61,4,2022,2022-12-31
+GIS,General Mills,Numeric Transeprency,CQ42022,0.5,4,2022,2022-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42022,0.88,4,2022,2022-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42022,0.89,4,2022,2022-12-31
+KR,Kroger,Numeric Transeprency,CQ42022,1.34,4,2022,2022-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42022,1.71,4,2022,2022-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42022,0.97,4,2022,2022-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42022,1.73,4,2022,2022-12-31
+SYY,Sysco,Numeric Transeprency,CQ42022,1.29,4,2022,2022-12-31
+WMT,Walmart,Numeric Transeprency,CQ42022,1.83,4,2022,2022-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42022,2.48,4,2022,2022-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42022,,4,2022,2022-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42022,2.18,4,2022,2022-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42022,2.07,4,2022,2022-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42022,0.96,4,2022,2022-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42022,1.65,4,2022,2022-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42022,2.16,4,2022,2022-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42022,1.53,4,2022,2022-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42022,2.51,4,2022,2022-12-31
+AFL,Aflac,Numeric Transeprency,CQ42022,1.33,4,2022,2022-12-31
+ALL,Allstate,Numeric Transeprency,CQ42022,2.3,4,2022,2022-12-31
+AXP,American Express,Numeric Transeprency,CQ42022,1.96,4,2022,2022-12-31
+AIG,American International Group,Numeric Transeprency,CQ42022,3.72,4,2022,2022-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42022,1.8,4,2022,2022-12-31
+AON,Aon plc,Numeric Transeprency,CQ42022,1.77,4,2022,2022-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42022,1.71,4,2022,2022-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42022,2.92,4,2022,2022-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42022,,4,2022,2022-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42022,2.44,4,2022,2022-12-31
+CME,CME Group,Numeric Transeprency,CQ42022,1.8,4,2022,2022-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42022,,4,2022,2022-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42022,2.53,4,2022,2022-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42022,3.08,4,2022,2022-12-31
+C,Citigroup,Numeric Transeprency,CQ42022,2.44,4,2022,2022-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42022,1.88,4,2022,2022-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42022,2.59,4,2022,2022-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42022,3.18,4,2022,2022-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42022,1.78,4,2022,2022-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42022,2.05,4,2022,2022-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42022,1.44,4,2022,2022-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42022,1.63,4,2022,2022-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42022,2.79,4,2022,2022-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42022,2.94,4,2022,2022-12-31
+MA,Mastercard,Numeric Transeprency,CQ42022,1.7,4,2022,2022-12-31
+MET,MetLife,Numeric Transeprency,CQ42022,2.97,4,2022,2022-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42022,1.34,4,2022,2022-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42022,2.19,4,2022,2022-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42022,2.15,4,2022,2022-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42022,3.27,4,2022,2022-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42022,1.81,4,2022,2022-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42022,2.91,4,2022,2022-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42022,2.01,4,2022,2022-12-31
+STT,State Street,Numeric Transeprency,CQ42022,1.75,4,2022,2022-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42022,,4,2022,2022-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42022,1.95,4,2022,2022-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42022,2.52,4,2022,2022-12-31
+V,Visa,Numeric Transeprency,CQ42022,4.32,4,2022,2022-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42022,1.56,4,2022,2022-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42022,1.92,4,2022,2022-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42022,1.7,4,2022,2022-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42022,2.03,4,2022,2022-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42022,2.98,4,2022,2022-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42022,2.07,4,2022,2022-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42022,2.61,4,2022,2022-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42022,1.75,4,2022,2022-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42022,3.63,4,2022,2022-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42022,1.72,4,2022,2022-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42022,3.07,4,2022,2022-12-31
+COR,Cencora,Numeric Transeprency,CQ42022,,4,2022,2022-12-31
+CI,Cigna,Numeric Transeprency,CQ42022,2.67,4,2022,2022-12-31
+DVA,DaVita,Numeric Transeprency,CQ42022,2.91,4,2022,2022-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42022,1.61,4,2022,2022-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42022,1.86,4,2022,2022-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42022,2.53,4,2022,2022-12-31
+HUM,Humana,Numeric Transeprency,CQ42022,2.09,4,2022,2022-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42022,2.83,4,2022,2022-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42022,2.99,4,2022,2022-12-31
+LH,Labcorp,Numeric Transeprency,CQ42022,2.51,4,2022,2022-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42022,2.67,4,2022,2022-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42022,1.28,4,2022,2022-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42022,1.52,4,2022,2022-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42022,2.68,4,2022,2022-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42022,2.71,4,2022,2022-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42022,2.51,4,2022,2022-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42022,1.65,4,2022,2022-12-31
+MMM,3M,Numeric Transeprency,CQ42022,2.71,4,2022,2022-12-31
+AME,Ametek,Numeric Transeprency,CQ42022,2.72,4,2022,2022-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42022,1.53,4,2022,2022-12-31
+BA,Boeing,Numeric Transeprency,CQ42022,1.99,4,2022,2022-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42022,1.12,4,2022,2022-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42022,2.42,4,2022,2022-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42022,1.79,4,2022,2022-12-31
+CMI,Cummins,Numeric Transeprency,CQ42022,3.57,4,2022,2022-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42022,2.53,4,2022,2022-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42022,2.04,4,2022,2022-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42022,3.16,4,2022,2022-12-31
+EFX,Equifax,Numeric Transeprency,CQ42022,3.86,4,2022,2022-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42022,,4,2022,2022-12-31
+FDX,FedEx,Numeric Transeprency,CQ42022,1.76,4,2022,2022-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42022,2.34,4,2022,2022-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42022,2.88,4,2022,2022-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42022,3.06,4,2022,2022-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42022,2.6,4,2022,2022-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42022,1.76,4,2022,2022-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42022,2.29,4,2022,2022-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42022,1.82,4,2022,2022-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42022,2.98,4,2022,2022-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42022,2.84,4,2022,2022-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42022,2.43,4,2022,2022-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42022,4.34,4,2022,2022-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42022,2.44,4,2022,2022-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42022,2.46,4,2022,2022-12-31
+WM,Waste Management,Numeric Transeprency,CQ42022,3.31,4,2022,2022-12-31
+ACN,Accenture,Numeric Transeprency,CQ42022,2.17,4,2022,2022-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42022,1.96,4,2022,2022-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42022,2.03,4,2022,2022-12-31
+APH,Amphenol,Numeric Transeprency,CQ42022,2.21,4,2022,2022-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42022,2.12,4,2022,2022-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42022,2.35,4,2022,2022-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42022,2.48,4,2022,2022-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42022,1.55,4,2022,2022-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42022,3.19,4,2022,2022-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42022,2.6,4,2022,2022-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42022,1.82,4,2022,2022-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42022,3.04,4,2022,2022-12-31
+IBM,IBM,Numeric Transeprency,CQ42022,2.82,4,2022,2022-12-31
+INTC,Intel,Numeric Transeprency,CQ42022,2.39,4,2022,2022-12-31
+INTU,Intuit,Numeric Transeprency,CQ42022,1.68,4,2022,2022-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42022,2.02,4,2022,2022-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42022,1.48,4,2022,2022-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42022,3.17,4,2022,2022-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42022,3.39,4,2022,2022-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42022,2.24,4,2022,2022-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42022,1.72,4,2022,2022-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42022,2.35,4,2022,2022-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42022,2.05,4,2022,2022-12-31
+APD,Air Products,Numeric Transeprency,CQ42022,2.93,4,2022,2022-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42022,1.87,4,2022,2022-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42022,1.43,4,2022,2022-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42022,1.69,4,2022,2022-12-31
+IP,International Paper,Numeric Transeprency,CQ42022,1.33,4,2022,2022-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42022,1.59,4,2022,2022-12-31
+NEM,Newmont,Numeric Transeprency,CQ42022,1.81,4,2022,2022-12-31
+NUE,Nucor,Numeric Transeprency,CQ42022,1.89,4,2022,2022-12-31
+AMT,American Tower,Numeric Transeprency,CQ42022,2.09,4,2022,2022-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42022,2.83,4,2022,2022-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42022,1.92,4,2022,2022-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42022,2.39,4,2022,2022-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42022,2.55,4,2022,2022-12-31
+PLD,Prologis,Numeric Transeprency,CQ42022,2.49,4,2022,2022-12-31
+VTR,Ventas,Numeric Transeprency,CQ42022,2.84,4,2022,2022-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42022,1.34,4,2022,2022-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42022,2.38,4,2022,2022-12-31
+AEE,Ameren,Numeric Transeprency,CQ42022,4.07,4,2022,2022-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42022,3.48,4,2022,2022-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42022,2.69,4,2022,2022-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42022,3.45,4,2022,2022-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42022,2.79,4,2022,2022-12-31
+EIX,Edison International,Numeric Transeprency,CQ42022,3.52,4,2022,2022-12-31
+ETR,Entergy,Numeric Transeprency,CQ42022,1.65,4,2022,2022-12-31
+EXC,Exelon,Numeric Transeprency,CQ42022,3.31,4,2022,2022-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42022,3.1,4,2022,2022-12-31
+SO,Southern Company,Numeric Transeprency,CQ42022,2.21,4,2022,2022-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42022,2.64,4,2022,2022-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42022,25.93,4,2022,2022-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42022,13.95,4,2022,2022-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42022,,4,2022,2022-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42022,10.87,4,2022,2022-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42022,2.38,4,2022,2022-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42022,38.46,4,2022,2022-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42022,26.92,4,2022,2022-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42022,9.09,4,2022,2022-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42022,34.78,4,2022,2022-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42022,29.63,4,2022,2022-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42022,34.48,4,2022,2022-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42022,30.0,4,2022,2022-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42022,64.29,4,2022,2022-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42022,31.58,4,2022,2022-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42022,52.63,4,2022,2022-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42022,38.46,4,2022,2022-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42022,66.67,4,2022,2022-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42022,15.15,4,2022,2022-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42022,39.39,4,2022,2022-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42022,24.24,4,2022,2022-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42022,45.83,4,2022,2022-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42022,20.0,4,2022,2022-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42022,31.25,4,2022,2022-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42022,61.54,4,2022,2022-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42022,25.0,4,2022,2022-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42022,61.9,4,2022,2022-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42022,35.48,4,2022,2022-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42022,38.89,4,2022,2022-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42022,61.11,4,2022,2022-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42022,46.15,4,2022,2022-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42022,28.0,4,2022,2022-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42022,87.5,4,2022,2022-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42022,47.06,4,2022,2022-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42022,70.0,4,2022,2022-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42022,70.59,4,2022,2022-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42022,21.05,4,2022,2022-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42022,30.43,4,2022,2022-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42022,,4,2022,2022-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42022,27.27,4,2022,2022-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42022,23.08,4,2022,2022-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42022,52.0,4,2022,2022-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42022,30.77,4,2022,2022-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42022,29.17,4,2022,2022-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42022,28.0,4,2022,2022-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42022,52.94,4,2022,2022-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42022,66.67,4,2022,2022-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42022,26.32,4,2022,2022-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42022,26.67,4,2022,2022-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42022,69.23,4,2022,2022-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42022,36.36,4,2022,2022-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42022,,4,2022,2022-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42022,68.75,4,2022,2022-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42022,,4,2022,2022-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42022,38.1,4,2022,2022-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42022,66.67,4,2022,2022-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42022,40.91,4,2022,2022-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42022,20.0,4,2022,2022-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42022,40.0,4,2022,2022-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42022,17.24,4,2022,2022-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42022,41.67,4,2022,2022-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42022,55.56,4,2022,2022-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42022,21.43,4,2022,2022-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42022,34.78,4,2022,2022-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42022,52.63,4,2022,2022-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42022,30.3,4,2022,2022-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42022,35.29,4,2022,2022-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42022,29.17,4,2022,2022-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42022,60.0,4,2022,2022-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42022,27.27,4,2022,2022-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42022,68.42,4,2022,2022-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42022,68.75,4,2022,2022-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42022,,4,2022,2022-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42022,57.14,4,2022,2022-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42022,26.09,4,2022,2022-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42022,16.13,4,2022,2022-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42022,29.17,4,2022,2022-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42022,38.1,4,2022,2022-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42022,30.0,4,2022,2022-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42022,64.29,4,2022,2022-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42022,41.67,4,2022,2022-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42022,42.86,4,2022,2022-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42022,35.71,4,2022,2022-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42022,41.38,4,2022,2022-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42022,36.0,4,2022,2022-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42022,65.0,4,2022,2022-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42022,22.73,4,2022,2022-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42022,,4,2022,2022-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42022,45.0,4,2022,2022-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42022,60.0,4,2022,2022-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42022,25.0,4,2022,2022-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42022,57.89,4,2022,2022-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42022,42.11,4,2022,2022-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42022,41.18,4,2022,2022-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42022,27.59,4,2022,2022-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42022,27.27,4,2022,2022-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42022,57.89,4,2022,2022-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42022,35.71,4,2022,2022-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42022,36.0,4,2022,2022-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42022,42.11,4,2022,2022-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42022,60.0,4,2022,2022-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42022,38.89,4,2022,2022-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42022,35.0,4,2022,2022-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42022,48.15,4,2022,2022-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42022,53.85,4,2022,2022-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42022,73.33,4,2022,2022-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42022,31.25,4,2022,2022-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42022,57.89,4,2022,2022-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42022,45.45,4,2022,2022-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42022,78.95,4,2022,2022-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42022,,4,2022,2022-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42022,40.0,4,2022,2022-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42022,41.18,4,2022,2022-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42022,42.86,4,2022,2022-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42022,55.56,4,2022,2022-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42022,43.75,4,2022,2022-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42022,26.09,4,2022,2022-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42022,0.0,4,2022,2022-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42022,57.14,4,2022,2022-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42022,37.5,4,2022,2022-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42022,32.14,4,2022,2022-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42022,56.25,4,2022,2022-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42022,27.27,4,2022,2022-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42022,25.0,4,2022,2022-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42022,42.11,4,2022,2022-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42022,71.43,4,2022,2022-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42022,25.0,4,2022,2022-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42022,18.92,4,2022,2022-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42022,48.0,4,2022,2022-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42022,37.93,4,2022,2022-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42022,41.67,4,2022,2022-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42022,37.04,4,2022,2022-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42022,21.74,4,2022,2022-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42022,38.46,4,2022,2022-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42022,46.15,4,2022,2022-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42022,16.67,4,2022,2022-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42022,45.0,4,2022,2022-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42022,34.62,4,2022,2022-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42022,21.62,4,2022,2022-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42022,11.11,4,2022,2022-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42022,38.46,4,2022,2022-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42022,37.5,4,2022,2022-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42022,21.74,4,2022,2022-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42022,15.38,4,2022,2022-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42022,24.14,4,2022,2022-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42022,42.11,4,2022,2022-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42022,61.54,4,2022,2022-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42022,73.68,4,2022,2022-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42022,53.85,4,2022,2022-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42022,44.44,4,2022,2022-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42022,29.41,4,2022,2022-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42022,33.33,4,2022,2022-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42022,40.0,4,2022,2022-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42022,30.0,4,2022,2022-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42022,22.22,4,2022,2022-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42022,50.0,4,2022,2022-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42022,83.33,4,2022,2022-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42022,57.14,4,2022,2022-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42022,62.5,4,2022,2022-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42022,80.0,4,2022,2022-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42022,38.46,4,2022,2022-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42022,0.0,4,2022,2022-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42022,23.53,4,2022,2022-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42022,38.89,4,2022,2022-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42022,25.0,4,2022,2022-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42022,44.44,4,2022,2022-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42022,18.75,4,2022,2022-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42022,44.44,4,2022,2022-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42022,29.41,4,2022,2022-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42022,31.58,4,2022,2022-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42022,64.71,4,2022,2022-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42022,56.25,4,2022,2022-12-31
+T,AT&T,Language Complexity,CQ42022,12.8,4,2022,2022-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42022,12.69,4,2022,2022-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42022,,4,2022,2022-12-31
+META,Meta Platforms,Language Complexity,CQ42022,12.65,4,2022,2022-12-31
+NFLX,Netflix,Language Complexity,CQ42022,11.07,4,2022,2022-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42022,15.46,4,2022,2022-12-31
+OMC,Omnicom Group,Language Complexity,CQ42022,13.37,4,2022,2022-12-31
+VZ,Verizon,Language Complexity,CQ42022,11.32,4,2022,2022-12-31
+AMZN,Amazon,Language Complexity,CQ42022,12.25,4,2022,2022-12-31
+AZO,AutoZone,Language Complexity,CQ42022,12.11,4,2022,2022-12-31
+BBY,Best Buy,Language Complexity,CQ42022,13.92,4,2022,2022-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42022,12.51,4,2022,2022-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42022,12.04,4,2022,2022-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42022,10.85,4,2022,2022-12-31
+F,Ford Motor Company,Language Complexity,CQ42022,11.86,4,2022,2022-12-31
+GM,General Motors,Language Complexity,CQ42022,11.9,4,2022,2022-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42022,13.44,4,2022,2022-12-31
+HAS,Hasbro,Language Complexity,CQ42022,11.95,4,2022,2022-12-31
+LOW,Lowe's,Language Complexity,CQ42022,13.42,4,2022,2022-12-31
+MCD,McDonald's,Language Complexity,CQ42022,13.1,4,2022,2022-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42022,13.1,4,2022,2022-12-31
+ROST,Ross Stores,Language Complexity,CQ42022,10.73,4,2022,2022-12-31
+TJX,TJX Companies,Language Complexity,CQ42022,11.25,4,2022,2022-12-31
+TGT,Target,Language Complexity,CQ42022,14.57,4,2022,2022-12-31
+MO,Altria,Language Complexity,CQ42022,12.73,4,2022,2022-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42022,12.34,4,2022,2022-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42022,13.4,4,2022,2022-12-31
+CLX,Clorox,Language Complexity,CQ42022,11.26,4,2022,2022-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42022,13.49,4,2022,2022-12-31
+COST,Costco,Language Complexity,CQ42022,9.73,4,2022,2022-12-31
+GIS,General Mills,Language Complexity,CQ42022,10.9,4,2022,2022-12-31
+HSY,Hershey Company,Language Complexity,CQ42022,10.54,4,2022,2022-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42022,10.75,4,2022,2022-12-31
+KR,Kroger,Language Complexity,CQ42022,12.95,4,2022,2022-12-31
+MKC,McCormick & Company,Language Complexity,CQ42022,12.34,4,2022,2022-12-31
+PEP,PepsiCo,Language Complexity,CQ42022,11.54,4,2022,2022-12-31
+PG,Procter & Gamble,Language Complexity,CQ42022,12.73,4,2022,2022-12-31
+SYY,Sysco,Language Complexity,CQ42022,12.75,4,2022,2022-12-31
+WMT,Walmart,Language Complexity,CQ42022,12.18,4,2022,2022-12-31
+APA,APA Corporation,Language Complexity,CQ42022,11.11,4,2022,2022-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42022,,4,2022,2022-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42022,11.46,4,2022,2022-12-31
+EOG,EOG Resources,Language Complexity,CQ42022,12.7,4,2022,2022-12-31
+XOM,ExxonMobil,Language Complexity,CQ42022,12.75,4,2022,2022-12-31
+HAL,Halliburton,Language Complexity,CQ42022,11.76,4,2022,2022-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42022,13.83,4,2022,2022-12-31
+SLB,Schlumberger,Language Complexity,CQ42022,15.0,4,2022,2022-12-31
+VLO,Valero Energy,Language Complexity,CQ42022,11.15,4,2022,2022-12-31
+AFL,Aflac,Language Complexity,CQ42022,12.45,4,2022,2022-12-31
+ALL,Allstate,Language Complexity,CQ42022,14.32,4,2022,2022-12-31
+AXP,American Express,Language Complexity,CQ42022,12.14,4,2022,2022-12-31
+AIG,American International Group,Language Complexity,CQ42022,14.39,4,2022,2022-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42022,12.29,4,2022,2022-12-31
+AON,Aon plc,Language Complexity,CQ42022,13.4,4,2022,2022-12-31
+BK,BNY Mellon,Language Complexity,CQ42022,13.14,4,2022,2022-12-31
+BAC,Bank of America,Language Complexity,CQ42022,12.1,4,2022,2022-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42022,,4,2022,2022-12-31
+BLK,BlackRock,Language Complexity,CQ42022,14.95,4,2022,2022-12-31
+CME,CME Group,Language Complexity,CQ42022,11.56,4,2022,2022-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42022,,4,2022,2022-12-31
+CB,Chubb Limited,Language Complexity,CQ42022,11.52,4,2022,2022-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42022,12.93,4,2022,2022-12-31
+C,Citigroup,Language Complexity,CQ42022,12.48,4,2022,2022-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42022,12.99,4,2022,2022-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42022,12.66,4,2022,2022-12-31
+FISV,Fiserv,Language Complexity,CQ42022,12.9,4,2022,2022-12-31
+GS,Goldman Sachs,Language Complexity,CQ42022,12.41,4,2022,2022-12-31
+HIG,Hartford Financial,Language Complexity,CQ42022,12.35,4,2022,2022-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42022,13.77,4,2022,2022-12-31
+IVZ,Invesco,Language Complexity,CQ42022,12.1,4,2022,2022-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42022,9.93,4,2022,2022-12-31
+KEY,KeyCorp,Language Complexity,CQ42022,11.88,4,2022,2022-12-31
+MA,Mastercard,Language Complexity,CQ42022,12.63,4,2022,2022-12-31
+MET,MetLife,Language Complexity,CQ42022,12.51,4,2022,2022-12-31
+MS,Morgan Stanley,Language Complexity,CQ42022,11.93,4,2022,2022-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42022,14.47,4,2022,2022-12-31
+NTRS,Northern Trust,Language Complexity,CQ42022,11.34,4,2022,2022-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42022,10.43,4,2022,2022-12-31
+PRU,Prudential Financial,Language Complexity,CQ42022,12.89,4,2022,2022-12-31
+RF,Regions Financial,Language Complexity,CQ42022,11.85,4,2022,2022-12-31
+SPGI,S&P Global,Language Complexity,CQ42022,13.16,4,2022,2022-12-31
+STT,State Street,Language Complexity,CQ42022,12.86,4,2022,2022-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42022,,4,2022,2022-12-31
+TRV,Travelers Companies,Language Complexity,CQ42022,12.63,4,2022,2022-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42022,12.19,4,2022,2022-12-31
+V,Visa,Language Complexity,CQ42022,12.53,4,2022,2022-12-31
+WFC,Wells Fargo,Language Complexity,CQ42022,12.39,4,2022,2022-12-31
+ABBV,AbbVie,Language Complexity,CQ42022,12.86,4,2022,2022-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42022,11.81,4,2022,2022-12-31
+A,Agilent Technologies,Language Complexity,CQ42022,10.86,4,2022,2022-12-31
+AMGN,Amgen,Language Complexity,CQ42022,12.43,4,2022,2022-12-31
+BAX,Baxter International,Language Complexity,CQ42022,12.88,4,2022,2022-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42022,13.4,4,2022,2022-12-31
+BIIB,Biogen,Language Complexity,CQ42022,13.13,4,2022,2022-12-31
+BSX,Boston Scientific,Language Complexity,CQ42022,11.8,4,2022,2022-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42022,11.85,4,2022,2022-12-31
+CVS,CVS Health,Language Complexity,CQ42022,14.51,4,2022,2022-12-31
+COR,Cencora,Language Complexity,CQ42022,,4,2022,2022-12-31
+CI,Cigna,Language Complexity,CQ42022,14.5,4,2022,2022-12-31
+DVA,DaVita,Language Complexity,CQ42022,10.38,4,2022,2022-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42022,12.04,4,2022,2022-12-31
+LLY,Eli Lilly,Language Complexity,CQ42022,12.85,4,2022,2022-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42022,13.14,4,2022,2022-12-31
+HUM,Humana,Language Complexity,CQ42022,14.5,4,2022,2022-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42022,12.99,4,2022,2022-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42022,13.65,4,2022,2022-12-31
+LH,Labcorp,Language Complexity,CQ42022,11.85,4,2022,2022-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42022,14.94,4,2022,2022-12-31
+MDT,Medtronic,Language Complexity,CQ42022,11.78,4,2022,2022-12-31
+MRK,Merck & Co.,Language Complexity,CQ42022,13.28,4,2022,2022-12-31
+PFE,Pfizer,Language Complexity,CQ42022,12.66,4,2022,2022-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42022,12.26,4,2022,2022-12-31
+WAT,Waters Corporation,Language Complexity,CQ42022,12.18,4,2022,2022-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42022,11.62,4,2022,2022-12-31
+MMM,3M,Language Complexity,CQ42022,13.21,4,2022,2022-12-31
+AME,Ametek,Language Complexity,CQ42022,11.27,4,2022,2022-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42022,12.14,4,2022,2022-12-31
+BA,Boeing,Language Complexity,CQ42022,10.74,4,2022,2022-12-31
+CSX,CSX Corporation,Language Complexity,CQ42022,12.14,4,2022,2022-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42022,12.57,4,2022,2022-12-31
+CTAS,Cintas,Language Complexity,CQ42022,10.46,4,2022,2022-12-31
+CMI,Cummins,Language Complexity,CQ42022,12.97,4,2022,2022-12-31
+DE,Deere & Company,Language Complexity,CQ42022,11.97,4,2022,2022-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42022,11.2,4,2022,2022-12-31
+EMR,Emerson Electric,Language Complexity,CQ42022,13.2,4,2022,2022-12-31
+EFX,Equifax,Language Complexity,CQ42022,12.24,4,2022,2022-12-31
+EXPD,Expeditors International,Language Complexity,CQ42022,,4,2022,2022-12-31
+FDX,FedEx,Language Complexity,CQ42022,12.37,4,2022,2022-12-31
+GE,GE Aerospace,Language Complexity,CQ42022,11.99,4,2022,2022-12-31
+GD,General Dynamics,Language Complexity,CQ42022,10.46,4,2022,2022-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42022,12.01,4,2022,2022-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42022,11.9,4,2022,2022-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42022,11.64,4,2022,2022-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42022,12.23,4,2022,2022-12-31
+PCAR,Paccar,Language Complexity,CQ42022,10.42,4,2022,2022-12-31
+RTX,RTX Corporation,Language Complexity,CQ42022,11.08,4,2022,2022-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42022,11.78,4,2022,2022-12-31
+ROP,Roper Technologies,Language Complexity,CQ42022,11.72,4,2022,2022-12-31
+SNA,Snap-on,Language Complexity,CQ42022,11.74,4,2022,2022-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42022,14.33,4,2022,2022-12-31
+UPS,United Parcel Service,Language Complexity,CQ42022,12.18,4,2022,2022-12-31
+WM,Waste Management,Language Complexity,CQ42022,11.78,4,2022,2022-12-31
+ACN,Accenture,Language Complexity,CQ42022,13.04,4,2022,2022-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42022,15.46,4,2022,2022-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42022,11.39,4,2022,2022-12-31
+APH,Amphenol,Language Complexity,CQ42022,13.46,4,2022,2022-12-31
+ADI,Analog Devices,Language Complexity,CQ42022,12.44,4,2022,2022-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42022,12.07,4,2022,2022-12-31
+AMAT,Applied Materials,Language Complexity,CQ42022,11.8,4,2022,2022-12-31
+ADSK,Autodesk,Language Complexity,CQ42022,12.83,4,2022,2022-12-31
+AVGO,Broadcom,Language Complexity,CQ42022,10.66,4,2022,2022-12-31
+CSCO,Cisco,Language Complexity,CQ42022,10.97,4,2022,2022-12-31
+CTSH,Cognizant,Language Complexity,CQ42022,13.83,4,2022,2022-12-31
+HPQ,HP Inc.,Language Complexity,CQ42022,12.99,4,2022,2022-12-31
+IBM,IBM,Language Complexity,CQ42022,11.95,4,2022,2022-12-31
+INTC,Intel,Language Complexity,CQ42022,13.23,4,2022,2022-12-31
+INTU,Intuit,Language Complexity,CQ42022,12.12,4,2022,2022-12-31
+LRCX,Lam Research,Language Complexity,CQ42022,12.73,4,2022,2022-12-31
+MU,Micron Technology,Language Complexity,CQ42022,11.03,4,2022,2022-12-31
+MSFT,Microsoft,Language Complexity,CQ42022,13.31,4,2022,2022-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42022,11.87,4,2022,2022-12-31
+NTAP,NetApp,Language Complexity,CQ42022,11.61,4,2022,2022-12-31
+NVDA,Nvidia,Language Complexity,CQ42022,12.21,4,2022,2022-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42022,12.47,4,2022,2022-12-31
+TXN,Texas Instruments,Language Complexity,CQ42022,9.95,4,2022,2022-12-31
+APD,Air Products,Language Complexity,CQ42022,11.66,4,2022,2022-12-31
+AVY,Avery Dennison,Language Complexity,CQ42022,13.08,4,2022,2022-12-31
+ECL,Ecolab,Language Complexity,CQ42022,11.29,4,2022,2022-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42022,13.24,4,2022,2022-12-31
+IP,International Paper,Language Complexity,CQ42022,12.55,4,2022,2022-12-31
+LIN,Linde plc,Language Complexity,CQ42022,12.57,4,2022,2022-12-31
+NEM,Newmont,Language Complexity,CQ42022,12.57,4,2022,2022-12-31
+NUE,Nucor,Language Complexity,CQ42022,12.19,4,2022,2022-12-31
+AMT,American Tower,Language Complexity,CQ42022,14.72,4,2022,2022-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42022,11.97,4,2022,2022-12-31
+EQR,Equity Residential,Language Complexity,CQ42022,11.85,4,2022,2022-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42022,10.84,4,2022,2022-12-31
+IRM,Iron Mountain,Language Complexity,CQ42022,13.84,4,2022,2022-12-31
+PLD,Prologis,Language Complexity,CQ42022,11.05,4,2022,2022-12-31
+VTR,Ventas,Language Complexity,CQ42022,11.63,4,2022,2022-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42022,12.02,4,2022,2022-12-31
+AES,AES Corporation,Language Complexity,CQ42022,11.7,4,2022,2022-12-31
+AEE,Ameren,Language Complexity,CQ42022,15.57,4,2022,2022-12-31
+AEP,American Electric Power,Language Complexity,CQ42022,12.96,4,2022,2022-12-31
+CMS,CMS Energy,Language Complexity,CQ42022,11.64,4,2022,2022-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42022,14.74,4,2022,2022-12-31
+DUK,Duke Energy,Language Complexity,CQ42022,12.59,4,2022,2022-12-31
+EIX,Edison International,Language Complexity,CQ42022,12.85,4,2022,2022-12-31
+ETR,Entergy,Language Complexity,CQ42022,13.31,4,2022,2022-12-31
+EXC,Exelon,Language Complexity,CQ42022,13.26,4,2022,2022-12-31
+NEE,NextEra Energy,Language Complexity,CQ42022,15.32,4,2022,2022-12-31
+SO,Southern Company,Language Complexity,CQ42022,10.9,4,2022,2022-12-31
+XEL,Xcel Energy,Language Complexity,CQ42022,12.57,4,2022,2022-12-31
+T,AT&T,Net Positivity,CQ12023,1.22,1,2023,2023-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12023,2.11,1,2023,2023-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12023,,1,2023,2023-03-31
+META,Meta Platforms,Net Positivity,CQ12023,1.35,1,2023,2023-03-31
+NFLX,Netflix,Net Positivity,CQ12023,1.79,1,2023,2023-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12023,-0.02,1,2023,2023-03-31
+OMC,Omnicom Group,Net Positivity,CQ12023,0.86,1,2023,2023-03-31
+VZ,Verizon,Net Positivity,CQ12023,1.31,1,2023,2023-03-31
+AMZN,Amazon,Net Positivity,CQ12023,0.57,1,2023,2023-03-31
+AZO,AutoZone,Net Positivity,CQ12023,1.61,1,2023,2023-03-31
+BBY,Best Buy,Net Positivity,CQ12023,1.25,1,2023,2023-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12023,1.55,1,2023,2023-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12023,1.59,1,2023,2023-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12023,1.24,1,2023,2023-03-31
+F,Ford Motor Company,Net Positivity,CQ12023,1.19,1,2023,2023-03-31
+GM,General Motors,Net Positivity,CQ12023,1.65,1,2023,2023-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12023,2.05,1,2023,2023-03-31
+HAS,Hasbro,Net Positivity,CQ12023,1.07,1,2023,2023-03-31
+LOW,Lowe's,Net Positivity,CQ12023,1.27,1,2023,2023-03-31
+MCD,McDonald's,Net Positivity,CQ12023,2.21,1,2023,2023-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12023,2.64,1,2023,2023-03-31
+ROST,Ross Stores,Net Positivity,CQ12023,1.0,1,2023,2023-03-31
+TJX,TJX Companies,Net Positivity,CQ12023,2.03,1,2023,2023-03-31
+TGT,Target,Net Positivity,CQ12023,1.7,1,2023,2023-03-31
+MO,Altria,Net Positivity,CQ12023,0.95,1,2023,2023-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12023,1.5,1,2023,2023-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12023,0.54,1,2023,2023-03-31
+CLX,Clorox,Net Positivity,CQ12023,1.19,1,2023,2023-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12023,1.28,1,2023,2023-03-31
+COST,Costco,Net Positivity,CQ12023,0.92,1,2023,2023-03-31
+GIS,General Mills,Net Positivity,CQ12023,0.84,1,2023,2023-03-31
+HSY,Hershey Company,Net Positivity,CQ12023,1.31,1,2023,2023-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12023,1.02,1,2023,2023-03-31
+KR,Kroger,Net Positivity,CQ12023,2.3,1,2023,2023-03-31
+MKC,McCormick & Company,Net Positivity,CQ12023,1.49,1,2023,2023-03-31
+PEP,PepsiCo,Net Positivity,CQ12023,1.82,1,2023,2023-03-31
+PG,Procter & Gamble,Net Positivity,CQ12023,0.95,1,2023,2023-03-31
+SYY,Sysco,Net Positivity,CQ12023,2.35,1,2023,2023-03-31
+WMT,Walmart,Net Positivity,CQ12023,1.71,1,2023,2023-03-31
+APA,APA Corporation,Net Positivity,CQ12023,0.89,1,2023,2023-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12023,,1,2023,2023-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12023,0.65,1,2023,2023-03-31
+EOG,EOG Resources,Net Positivity,CQ12023,1.74,1,2023,2023-03-31
+XOM,ExxonMobil,Net Positivity,CQ12023,1.6,1,2023,2023-03-31
+HAL,Halliburton,Net Positivity,CQ12023,1.38,1,2023,2023-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12023,1.05,1,2023,2023-03-31
+SLB,Schlumberger,Net Positivity,CQ12023,1.54,1,2023,2023-03-31
+VLO,Valero Energy,Net Positivity,CQ12023,0.57,1,2023,2023-03-31
+AFL,Aflac,Net Positivity,CQ12023,0.19,1,2023,2023-03-31
+ALL,Allstate,Net Positivity,CQ12023,-0.61,1,2023,2023-03-31
+AXP,American Express,Net Positivity,CQ12023,0.58,1,2023,2023-03-31
+AIG,American International Group,Net Positivity,CQ12023,0.94,1,2023,2023-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12023,1.38,1,2023,2023-03-31
+AON,Aon plc,Net Positivity,CQ12023,2.17,1,2023,2023-03-31
+BK,BNY Mellon,Net Positivity,CQ12023,1.07,1,2023,2023-03-31
+BAC,Bank of America,Net Positivity,CQ12023,0.43,1,2023,2023-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12023,,1,2023,2023-03-31
+BLK,BlackRock,Net Positivity,CQ12023,1.06,1,2023,2023-03-31
+CME,CME Group,Net Positivity,CQ12023,0.47,1,2023,2023-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12023,,1,2023,2023-03-31
+CB,Chubb Limited,Net Positivity,CQ12023,0.41,1,2023,2023-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12023,0.15,1,2023,2023-03-31
+C,Citigroup,Net Positivity,CQ12023,0.54,1,2023,2023-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12023,0.96,1,2023,2023-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12023,0.77,1,2023,2023-03-31
+FISV,Fiserv,Net Positivity,CQ12023,1.44,1,2023,2023-03-31
+GS,Goldman Sachs,Net Positivity,CQ12023,0.89,1,2023,2023-03-31
+HIG,Hartford Financial,Net Positivity,CQ12023,0.88,1,2023,2023-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12023,0.74,1,2023,2023-03-31
+IVZ,Invesco,Net Positivity,CQ12023,0.92,1,2023,2023-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12023,-0.36,1,2023,2023-03-31
+KEY,KeyCorp,Net Positivity,CQ12023,0.12,1,2023,2023-03-31
+MA,Mastercard,Net Positivity,CQ12023,1.24,1,2023,2023-03-31
+MET,MetLife,Net Positivity,CQ12023,0.76,1,2023,2023-03-31
+MS,Morgan Stanley,Net Positivity,CQ12023,0.85,1,2023,2023-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12023,0.92,1,2023,2023-03-31
+NTRS,Northern Trust,Net Positivity,CQ12023,0.17,1,2023,2023-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12023,-0.44,1,2023,2023-03-31
+PRU,Prudential Financial,Net Positivity,CQ12023,1.12,1,2023,2023-03-31
+RF,Regions Financial,Net Positivity,CQ12023,0.75,1,2023,2023-03-31
+SPGI,S&P Global,Net Positivity,CQ12023,0.99,1,2023,2023-03-31
+STT,State Street,Net Positivity,CQ12023,0.77,1,2023,2023-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12023,,1,2023,2023-03-31
+TRV,Travelers Companies,Net Positivity,CQ12023,1.15,1,2023,2023-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12023,0.37,1,2023,2023-03-31
+V,Visa,Net Positivity,CQ12023,1.14,1,2023,2023-03-31
+WFC,Wells Fargo,Net Positivity,CQ12023,0.52,1,2023,2023-03-31
+ABBV,AbbVie,Net Positivity,CQ12023,0.77,1,2023,2023-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12023,1.32,1,2023,2023-03-31
+A,Agilent Technologies,Net Positivity,CQ12023,1.58,1,2023,2023-03-31
+AMGN,Amgen,Net Positivity,CQ12023,0.73,1,2023,2023-03-31
+BAX,Baxter International,Net Positivity,CQ12023,0.74,1,2023,2023-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12023,1.64,1,2023,2023-03-31
+BIIB,Biogen,Net Positivity,CQ12023,0.16,1,2023,2023-03-31
+BSX,Boston Scientific,Net Positivity,CQ12023,1.13,1,2023,2023-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12023,1.35,1,2023,2023-03-31
+CVS,CVS Health,Net Positivity,CQ12023,1.77,1,2023,2023-03-31
+COR,Cencora,Net Positivity,CQ12023,,1,2023,2023-03-31
+CI,Cigna,Net Positivity,CQ12023,2.26,1,2023,2023-03-31
+DVA,DaVita,Net Positivity,CQ12023,0.58,1,2023,2023-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12023,1.17,1,2023,2023-03-31
+LLY,Eli Lilly,Net Positivity,CQ12023,0.68,1,2023,2023-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12023,1.53,1,2023,2023-03-31
+HUM,Humana,Net Positivity,CQ12023,1.37,1,2023,2023-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12023,0.79,1,2023,2023-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12023,0.99,1,2023,2023-03-31
+LH,Labcorp,Net Positivity,CQ12023,1.11,1,2023,2023-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12023,1.69,1,2023,2023-03-31
+MDT,Medtronic,Net Positivity,CQ12023,1.3,1,2023,2023-03-31
+MRK,Merck & Co.,Net Positivity,CQ12023,1.67,1,2023,2023-03-31
+PFE,Pfizer,Net Positivity,CQ12023,1.02,1,2023,2023-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12023,1.97,1,2023,2023-03-31
+WAT,Waters Corporation,Net Positivity,CQ12023,1.77,1,2023,2023-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12023,1.62,1,2023,2023-03-31
+MMM,3M,Net Positivity,CQ12023,0.17,1,2023,2023-03-31
+AME,Ametek,Net Positivity,CQ12023,1.64,1,2023,2023-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12023,1.14,1,2023,2023-03-31
+BA,Boeing,Net Positivity,CQ12023,1.48,1,2023,2023-03-31
+CSX,CSX Corporation,Net Positivity,CQ12023,1.81,1,2023,2023-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12023,1.46,1,2023,2023-03-31
+CTAS,Cintas,Net Positivity,CQ12023,1.74,1,2023,2023-03-31
+CMI,Cummins,Net Positivity,CQ12023,1.52,1,2023,2023-03-31
+DE,Deere & Company,Net Positivity,CQ12023,1.53,1,2023,2023-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12023,1.15,1,2023,2023-03-31
+EMR,Emerson Electric,Net Positivity,CQ12023,0.96,1,2023,2023-03-31
+EFX,Equifax,Net Positivity,CQ12023,0.57,1,2023,2023-03-31
+EXPD,Expeditors International,Net Positivity,CQ12023,,1,2023,2023-03-31
+FDX,FedEx,Net Positivity,CQ12023,1.65,1,2023,2023-03-31
+GE,GE Aerospace,Net Positivity,CQ12023,1.72,1,2023,2023-03-31
+GD,General Dynamics,Net Positivity,CQ12023,0.99,1,2023,2023-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12023,1.26,1,2023,2023-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12023,0.8,1,2023,2023-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12023,1.17,1,2023,2023-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12023,1.05,1,2023,2023-03-31
+PCAR,Paccar,Net Positivity,CQ12023,2.35,1,2023,2023-03-31
+RTX,RTX Corporation,Net Positivity,CQ12023,1.18,1,2023,2023-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12023,1.42,1,2023,2023-03-31
+ROP,Roper Technologies,Net Positivity,CQ12023,1.48,1,2023,2023-03-31
+SNA,Snap-on,Net Positivity,CQ12023,0.9,1,2023,2023-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12023,0.8,1,2023,2023-03-31
+UPS,United Parcel Service,Net Positivity,CQ12023,0.88,1,2023,2023-03-31
+WM,Waste Management,Net Positivity,CQ12023,1.24,1,2023,2023-03-31
+ACN,Accenture,Net Positivity,CQ12023,1.25,1,2023,2023-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12023,2.55,1,2023,2023-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12023,0.67,1,2023,2023-03-31
+APH,Amphenol,Net Positivity,CQ12023,1.07,1,2023,2023-03-31
+ADI,Analog Devices,Net Positivity,CQ12023,1.89,1,2023,2023-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12023,0.95,1,2023,2023-03-31
+AMAT,Applied Materials,Net Positivity,CQ12023,1.01,1,2023,2023-03-31
+ADSK,Autodesk,Net Positivity,CQ12023,0.71,1,2023,2023-03-31
+AVGO,Broadcom,Net Positivity,CQ12023,0.61,1,2023,2023-03-31
+CSCO,Cisco,Net Positivity,CQ12023,1.26,1,2023,2023-03-31
+CTSH,Cognizant,Net Positivity,CQ12023,1.33,1,2023,2023-03-31
+HPQ,HP Inc.,Net Positivity,CQ12023,1.3,1,2023,2023-03-31
+IBM,IBM,Net Positivity,CQ12023,1.18,1,2023,2023-03-31
+INTC,Intel,Net Positivity,CQ12023,1.11,1,2023,2023-03-31
+INTU,Intuit,Net Positivity,CQ12023,1.81,1,2023,2023-03-31
+LRCX,Lam Research,Net Positivity,CQ12023,0.91,1,2023,2023-03-31
+MU,Micron Technology,Net Positivity,CQ12023,0.69,1,2023,2023-03-31
+MSFT,Microsoft,Net Positivity,CQ12023,0.5,1,2023,2023-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12023,1.03,1,2023,2023-03-31
+NTAP,NetApp,Net Positivity,CQ12023,0.94,1,2023,2023-03-31
+NVDA,Nvidia,Net Positivity,CQ12023,1.17,1,2023,2023-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12023,0.81,1,2023,2023-03-31
+TXN,Texas Instruments,Net Positivity,CQ12023,0.32,1,2023,2023-03-31
+APD,Air Products,Net Positivity,CQ12023,1.15,1,2023,2023-03-31
+AVY,Avery Dennison,Net Positivity,CQ12023,0.47,1,2023,2023-03-31
+ECL,Ecolab,Net Positivity,CQ12023,1.35,1,2023,2023-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12023,1.48,1,2023,2023-03-31
+IP,International Paper,Net Positivity,CQ12023,1.16,1,2023,2023-03-31
+LIN,Linde plc,Net Positivity,CQ12023,0.58,1,2023,2023-03-31
+NEM,Newmont,Net Positivity,CQ12023,1.24,1,2023,2023-03-31
+NUE,Nucor,Net Positivity,CQ12023,1.1,1,2023,2023-03-31
+AMT,American Tower,Net Positivity,CQ12023,1.15,1,2023,2023-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12023,0.29,1,2023,2023-03-31
+EQR,Equity Residential,Net Positivity,CQ12023,-0.03,1,2023,2023-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12023,0.97,1,2023,2023-03-31
+IRM,Iron Mountain,Net Positivity,CQ12023,1.85,1,2023,2023-03-31
+PLD,Prologis,Net Positivity,CQ12023,0.15,1,2023,2023-03-31
+VTR,Ventas,Net Positivity,CQ12023,1.84,1,2023,2023-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12023,0.13,1,2023,2023-03-31
+AES,AES Corporation,Net Positivity,CQ12023,0.69,1,2023,2023-03-31
+AEE,Ameren,Net Positivity,CQ12023,1.76,1,2023,2023-03-31
+AEP,American Electric Power,Net Positivity,CQ12023,0.8,1,2023,2023-03-31
+CMS,CMS Energy,Net Positivity,CQ12023,1.36,1,2023,2023-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12023,1.09,1,2023,2023-03-31
+DUK,Duke Energy,Net Positivity,CQ12023,0.87,1,2023,2023-03-31
+EIX,Edison International,Net Positivity,CQ12023,0.6,1,2023,2023-03-31
+ETR,Entergy,Net Positivity,CQ12023,0.83,1,2023,2023-03-31
+EXC,Exelon,Net Positivity,CQ12023,1.14,1,2023,2023-03-31
+NEE,NextEra Energy,Net Positivity,CQ12023,1.13,1,2023,2023-03-31
+SO,Southern Company,Net Positivity,CQ12023,0.29,1,2023,2023-03-31
+XEL,Xcel Energy,Net Positivity,CQ12023,1.71,1,2023,2023-03-31
+T,AT&T,Numeric Transeprency,CQ12023,1.88,1,2023,2023-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12023,1.97,1,2023,2023-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12023,,1,2023,2023-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12023,1.69,1,2023,2023-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12023,1.03,1,2023,2023-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12023,3.06,1,2023,2023-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12023,2.66,1,2023,2023-03-31
+VZ,Verizon,Numeric Transeprency,CQ12023,1.85,1,2023,2023-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12023,1.15,1,2023,2023-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12023,2.13,1,2023,2023-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12023,2.2,1,2023,2023-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12023,3.86,1,2023,2023-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12023,2.44,1,2023,2023-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12023,1.85,1,2023,2023-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12023,1.94,1,2023,2023-03-31
+GM,General Motors,Numeric Transeprency,CQ12023,2.82,1,2023,2023-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12023,4.01,1,2023,2023-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12023,2.49,1,2023,2023-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12023,2.43,1,2023,2023-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12023,1.84,1,2023,2023-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12023,1.86,1,2023,2023-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12023,2.66,1,2023,2023-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12023,3.03,1,2023,2023-03-31
+TGT,Target,Numeric Transeprency,CQ12023,1.43,1,2023,2023-03-31
+MO,Altria,Numeric Transeprency,CQ12023,1.71,1,2023,2023-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12023,2.25,1,2023,2023-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12023,1.94,1,2023,2023-03-31
+CLX,Clorox,Numeric Transeprency,CQ12023,0.88,1,2023,2023-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12023,2.05,1,2023,2023-03-31
+COST,Costco,Numeric Transeprency,CQ12023,2.92,1,2023,2023-03-31
+GIS,General Mills,Numeric Transeprency,CQ12023,0.71,1,2023,2023-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12023,0.74,1,2023,2023-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12023,1.3,1,2023,2023-03-31
+KR,Kroger,Numeric Transeprency,CQ12023,2.02,1,2023,2023-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12023,1.46,1,2023,2023-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12023,1.15,1,2023,2023-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12023,1.62,1,2023,2023-03-31
+SYY,Sysco,Numeric Transeprency,CQ12023,1.46,1,2023,2023-03-31
+WMT,Walmart,Numeric Transeprency,CQ12023,1.65,1,2023,2023-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12023,2.4,1,2023,2023-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12023,,1,2023,2023-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12023,3.28,1,2023,2023-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12023,2.08,1,2023,2023-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12023,1.49,1,2023,2023-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12023,2.68,1,2023,2023-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12023,2.5,1,2023,2023-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12023,2.5,1,2023,2023-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12023,3.11,1,2023,2023-03-31
+AFL,Aflac,Numeric Transeprency,CQ12023,1.68,1,2023,2023-03-31
+ALL,Allstate,Numeric Transeprency,CQ12023,2.61,1,2023,2023-03-31
+AXP,American Express,Numeric Transeprency,CQ12023,3.02,1,2023,2023-03-31
+AIG,American International Group,Numeric Transeprency,CQ12023,4.76,1,2023,2023-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12023,2.05,1,2023,2023-03-31
+AON,Aon plc,Numeric Transeprency,CQ12023,2.01,1,2023,2023-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12023,2.51,1,2023,2023-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12023,3.44,1,2023,2023-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12023,,1,2023,2023-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12023,2.47,1,2023,2023-03-31
+CME,CME Group,Numeric Transeprency,CQ12023,2.36,1,2023,2023-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12023,,1,2023,2023-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12023,2.7,1,2023,2023-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12023,4.06,1,2023,2023-03-31
+C,Citigroup,Numeric Transeprency,CQ12023,2.63,1,2023,2023-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12023,1.96,1,2023,2023-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12023,3.17,1,2023,2023-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12023,3.82,1,2023,2023-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12023,2.43,1,2023,2023-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12023,3.21,1,2023,2023-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12023,2.06,1,2023,2023-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12023,2.09,1,2023,2023-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12023,2.7,1,2023,2023-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12023,3.08,1,2023,2023-03-31
+MA,Mastercard,Numeric Transeprency,CQ12023,2.14,1,2023,2023-03-31
+MET,MetLife,Numeric Transeprency,CQ12023,4.43,1,2023,2023-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12023,2.86,1,2023,2023-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12023,3.79,1,2023,2023-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12023,2.48,1,2023,2023-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12023,3.44,1,2023,2023-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12023,2.02,1,2023,2023-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12023,2.46,1,2023,2023-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12023,3.23,1,2023,2023-03-31
+STT,State Street,Numeric Transeprency,CQ12023,2.59,1,2023,2023-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12023,,1,2023,2023-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12023,3.09,1,2023,2023-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12023,3.39,1,2023,2023-03-31
+V,Visa,Numeric Transeprency,CQ12023,3.55,1,2023,2023-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12023,2.0,1,2023,2023-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12023,2.47,1,2023,2023-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12023,2.07,1,2023,2023-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12023,1.62,1,2023,2023-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12023,3.25,1,2023,2023-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12023,3.44,1,2023,2023-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12023,1.92,1,2023,2023-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12023,1.78,1,2023,2023-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12023,5.05,1,2023,2023-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12023,2.19,1,2023,2023-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12023,3.08,1,2023,2023-03-31
+COR,Cencora,Numeric Transeprency,CQ12023,,1,2023,2023-03-31
+CI,Cigna,Numeric Transeprency,CQ12023,2.63,1,2023,2023-03-31
+DVA,DaVita,Numeric Transeprency,CQ12023,3.33,1,2023,2023-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12023,2.19,1,2023,2023-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12023,2.25,1,2023,2023-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12023,3.55,1,2023,2023-03-31
+HUM,Humana,Numeric Transeprency,CQ12023,3.49,1,2023,2023-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12023,3.3,1,2023,2023-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12023,3.62,1,2023,2023-03-31
+LH,Labcorp,Numeric Transeprency,CQ12023,3.84,1,2023,2023-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12023,3.06,1,2023,2023-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12023,1.47,1,2023,2023-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12023,1.95,1,2023,2023-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12023,2.89,1,2023,2023-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12023,4.03,1,2023,2023-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12023,3.19,1,2023,2023-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12023,2.08,1,2023,2023-03-31
+MMM,3M,Numeric Transeprency,CQ12023,3.18,1,2023,2023-03-31
+AME,Ametek,Numeric Transeprency,CQ12023,3.28,1,2023,2023-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12023,1.19,1,2023,2023-03-31
+BA,Boeing,Numeric Transeprency,CQ12023,3.01,1,2023,2023-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12023,1.59,1,2023,2023-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12023,3.3,1,2023,2023-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12023,1.81,1,2023,2023-03-31
+CMI,Cummins,Numeric Transeprency,CQ12023,4.01,1,2023,2023-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12023,2.41,1,2023,2023-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12023,3.06,1,2023,2023-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12023,1.89,1,2023,2023-03-31
+EFX,Equifax,Numeric Transeprency,CQ12023,4.22,1,2023,2023-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12023,,1,2023,2023-03-31
+FDX,FedEx,Numeric Transeprency,CQ12023,1.54,1,2023,2023-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12023,3.12,1,2023,2023-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12023,3.85,1,2023,2023-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12023,4.85,1,2023,2023-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12023,2.84,1,2023,2023-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12023,1.69,1,2023,2023-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12023,2.68,1,2023,2023-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12023,2.6,1,2023,2023-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12023,3.22,1,2023,2023-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12023,2.06,1,2023,2023-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12023,2.6,1,2023,2023-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12023,3.67,1,2023,2023-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12023,3.53,1,2023,2023-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12023,3.84,1,2023,2023-03-31
+WM,Waste Management,Numeric Transeprency,CQ12023,2.8,1,2023,2023-03-31
+ACN,Accenture,Numeric Transeprency,CQ12023,2.45,1,2023,2023-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12023,1.27,1,2023,2023-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12023,2.77,1,2023,2023-03-31
+APH,Amphenol,Numeric Transeprency,CQ12023,3.63,1,2023,2023-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12023,2.4,1,2023,2023-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12023,2.19,1,2023,2023-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12023,1.84,1,2023,2023-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12023,2.37,1,2023,2023-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12023,3.18,1,2023,2023-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12023,2.23,1,2023,2023-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12023,1.53,1,2023,2023-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12023,2.0,1,2023,2023-03-31
+IBM,IBM,Numeric Transeprency,CQ12023,2.89,1,2023,2023-03-31
+INTC,Intel,Numeric Transeprency,CQ12023,3.03,1,2023,2023-03-31
+INTU,Intuit,Numeric Transeprency,CQ12023,1.65,1,2023,2023-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12023,2.45,1,2023,2023-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12023,1.33,1,2023,2023-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12023,3.64,1,2023,2023-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12023,3.63,1,2023,2023-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12023,1.82,1,2023,2023-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12023,2.0,1,2023,2023-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12023,2.41,1,2023,2023-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12023,2.93,1,2023,2023-03-31
+APD,Air Products,Numeric Transeprency,CQ12023,2.65,1,2023,2023-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12023,2.3,1,2023,2023-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12023,1.73,1,2023,2023-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12023,2.4,1,2023,2023-03-31
+IP,International Paper,Numeric Transeprency,CQ12023,2.15,1,2023,2023-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12023,2.17,1,2023,2023-03-31
+NEM,Newmont,Numeric Transeprency,CQ12023,3.25,1,2023,2023-03-31
+NUE,Nucor,Numeric Transeprency,CQ12023,2.36,1,2023,2023-03-31
+AMT,American Tower,Numeric Transeprency,CQ12023,3.18,1,2023,2023-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12023,2.84,1,2023,2023-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12023,2.0,1,2023,2023-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12023,3.2,1,2023,2023-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12023,3.74,1,2023,2023-03-31
+PLD,Prologis,Numeric Transeprency,CQ12023,2.94,1,2023,2023-03-31
+VTR,Ventas,Numeric Transeprency,CQ12023,3.24,1,2023,2023-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12023,2.38,1,2023,2023-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12023,3.74,1,2023,2023-03-31
+AEE,Ameren,Numeric Transeprency,CQ12023,4.27,1,2023,2023-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12023,3.48,1,2023,2023-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12023,3.61,1,2023,2023-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12023,2.72,1,2023,2023-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12023,2.88,1,2023,2023-03-31
+EIX,Edison International,Numeric Transeprency,CQ12023,3.79,1,2023,2023-03-31
+ETR,Entergy,Numeric Transeprency,CQ12023,2.0,1,2023,2023-03-31
+EXC,Exelon,Numeric Transeprency,CQ12023,4.54,1,2023,2023-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12023,3.5,1,2023,2023-03-31
+SO,Southern Company,Numeric Transeprency,CQ12023,3.1,1,2023,2023-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12023,2.44,1,2023,2023-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12023,22.22,1,2023,2023-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12023,11.63,1,2023,2023-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12023,,1,2023,2023-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12023,11.76,1,2023,2023-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12023,2.5,1,2023,2023-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12023,58.33,1,2023,2023-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12023,38.46,1,2023,2023-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12023,40.0,1,2023,2023-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12023,13.64,1,2023,2023-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12023,13.04,1,2023,2023-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12023,16.0,1,2023,2023-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12023,17.86,1,2023,2023-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12023,34.48,1,2023,2023-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12023,59.26,1,2023,2023-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12023,52.63,1,2023,2023-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12023,46.15,1,2023,2023-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12023,63.64,1,2023,2023-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12023,20.0,1,2023,2023-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12023,29.41,1,2023,2023-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12023,17.65,1,2023,2023-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12023,57.89,1,2023,2023-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12023,27.27,1,2023,2023-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12023,25.81,1,2023,2023-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12023,35.71,1,2023,2023-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12023,38.46,1,2023,2023-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12023,28.57,1,2023,2023-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12023,58.82,1,2023,2023-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12023,57.14,1,2023,2023-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12023,29.03,1,2023,2023-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12023,35.29,1,2023,2023-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12023,76.47,1,2023,2023-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12023,42.86,1,2023,2023-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12023,36.84,1,2023,2023-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12023,63.64,1,2023,2023-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12023,52.38,1,2023,2023-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12023,61.9,1,2023,2023-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12023,29.73,1,2023,2023-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12023,39.13,1,2023,2023-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12023,,1,2023,2023-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12023,36.0,1,2023,2023-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12023,22.22,1,2023,2023-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12023,48.0,1,2023,2023-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12023,40.91,1,2023,2023-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12023,26.92,1,2023,2023-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12023,28.0,1,2023,2023-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12023,52.94,1,2023,2023-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12023,38.46,1,2023,2023-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12023,22.22,1,2023,2023-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12023,40.0,1,2023,2023-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12023,17.65,1,2023,2023-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12023,46.15,1,2023,2023-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12023,31.25,1,2023,2023-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12023,43.75,1,2023,2023-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12023,30.43,1,2023,2023-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12023,,1,2023,2023-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12023,21.43,1,2023,2023-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12023,76.47,1,2023,2023-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12023,,1,2023,2023-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12023,40.0,1,2023,2023-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12023,71.43,1,2023,2023-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12023,30.0,1,2023,2023-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12023,31.82,1,2023,2023-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12023,25.0,1,2023,2023-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12023,41.67,1,2023,2023-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12023,50.0,1,2023,2023-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12023,57.14,1,2023,2023-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12023,57.14,1,2023,2023-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12023,39.13,1,2023,2023-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12023,42.86,1,2023,2023-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12023,22.86,1,2023,2023-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12023,17.65,1,2023,2023-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12023,29.17,1,2023,2023-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12023,52.94,1,2023,2023-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12023,66.67,1,2023,2023-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12023,30.43,1,2023,2023-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12023,60.0,1,2023,2023-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12023,34.62,1,2023,2023-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12023,53.85,1,2023,2023-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12023,52.94,1,2023,2023-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12023,,1,2023,2023-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12023,25.0,1,2023,2023-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12023,40.0,1,2023,2023-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12023,25.0,1,2023,2023-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12023,32.0,1,2023,2023-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12023,60.87,1,2023,2023-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12023,37.5,1,2023,2023-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12023,53.33,1,2023,2023-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12023,0.0,1,2023,2023-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12023,35.71,1,2023,2023-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12023,26.67,1,2023,2023-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12023,17.24,1,2023,2023-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12023,34.78,1,2023,2023-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12023,61.9,1,2023,2023-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12023,31.58,1,2023,2023-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12023,,1,2023,2023-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12023,42.11,1,2023,2023-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12023,60.0,1,2023,2023-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12023,27.78,1,2023,2023-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12023,65.0,1,2023,2023-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12023,32.0,1,2023,2023-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12023,55.0,1,2023,2023-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12023,37.5,1,2023,2023-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12023,46.15,1,2023,2023-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12023,39.13,1,2023,2023-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12023,43.48,1,2023,2023-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12023,65.0,1,2023,2023-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12023,23.53,1,2023,2023-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12023,60.0,1,2023,2023-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12023,39.13,1,2023,2023-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12023,43.75,1,2023,2023-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12023,43.75,1,2023,2023-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12023,35.29,1,2023,2023-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12023,45.0,1,2023,2023-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12023,59.26,1,2023,2023-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12023,42.31,1,2023,2023-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12023,66.67,1,2023,2023-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12023,39.13,1,2023,2023-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12023,52.17,1,2023,2023-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12023,35.29,1,2023,2023-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12023,52.94,1,2023,2023-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12023,68.42,1,2023,2023-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12023,,1,2023,2023-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12023,59.26,1,2023,2023-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12023,50.0,1,2023,2023-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12023,56.25,1,2023,2023-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12023,26.32,1,2023,2023-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12023,58.82,1,2023,2023-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12023,57.14,1,2023,2023-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12023,52.94,1,2023,2023-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12023,52.94,1,2023,2023-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12023,47.06,1,2023,2023-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12023,27.27,1,2023,2023-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12023,40.0,1,2023,2023-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12023,42.86,1,2023,2023-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12023,40.0,1,2023,2023-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12023,32.14,1,2023,2023-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12023,70.59,1,2023,2023-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12023,30.43,1,2023,2023-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12023,31.03,1,2023,2023-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12023,60.0,1,2023,2023-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12023,61.54,1,2023,2023-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12023,23.08,1,2023,2023-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12023,21.62,1,2023,2023-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12023,51.85,1,2023,2023-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12023,29.17,1,2023,2023-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12023,20.83,1,2023,2023-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12023,35.71,1,2023,2023-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12023,35.71,1,2023,2023-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12023,19.44,1,2023,2023-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12023,40.0,1,2023,2023-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12023,42.86,1,2023,2023-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12023,20.0,1,2023,2023-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12023,11.36,1,2023,2023-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12023,61.54,1,2023,2023-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12023,66.67,1,2023,2023-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12023,18.42,1,2023,2023-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12023,14.81,1,2023,2023-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12023,23.33,1,2023,2023-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12023,47.37,1,2023,2023-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12023,46.15,1,2023,2023-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12023,57.14,1,2023,2023-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12023,61.11,1,2023,2023-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12023,50.0,1,2023,2023-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12023,52.63,1,2023,2023-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12023,43.75,1,2023,2023-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12023,38.46,1,2023,2023-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12023,42.86,1,2023,2023-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12023,37.5,1,2023,2023-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12023,30.0,1,2023,2023-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12023,50.0,1,2023,2023-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12023,66.67,1,2023,2023-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12023,50.0,1,2023,2023-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12023,63.64,1,2023,2023-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12023,14.29,1,2023,2023-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12023,29.41,1,2023,2023-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12023,35.29,1,2023,2023-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12023,41.18,1,2023,2023-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12023,33.33,1,2023,2023-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12023,35.29,1,2023,2023-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12023,25.0,1,2023,2023-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12023,17.65,1,2023,2023-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12023,43.75,1,2023,2023-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12023,26.67,1,2023,2023-03-31
+T,AT&T,Language Complexity,CQ12023,13.72,1,2023,2023-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12023,13.33,1,2023,2023-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12023,,1,2023,2023-03-31
+META,Meta Platforms,Language Complexity,CQ12023,12.25,1,2023,2023-03-31
+NFLX,Netflix,Language Complexity,CQ12023,11.23,1,2023,2023-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12023,14.53,1,2023,2023-03-31
+OMC,Omnicom Group,Language Complexity,CQ12023,12.96,1,2023,2023-03-31
+VZ,Verizon,Language Complexity,CQ12023,11.9,1,2023,2023-03-31
+AMZN,Amazon,Language Complexity,CQ12023,13.46,1,2023,2023-03-31
+AZO,AutoZone,Language Complexity,CQ12023,12.18,1,2023,2023-03-31
+BBY,Best Buy,Language Complexity,CQ12023,14.07,1,2023,2023-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12023,12.68,1,2023,2023-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12023,11.46,1,2023,2023-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12023,10.88,1,2023,2023-03-31
+F,Ford Motor Company,Language Complexity,CQ12023,11.47,1,2023,2023-03-31
+GM,General Motors,Language Complexity,CQ12023,13.23,1,2023,2023-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12023,12.89,1,2023,2023-03-31
+HAS,Hasbro,Language Complexity,CQ12023,11.96,1,2023,2023-03-31
+LOW,Lowe's,Language Complexity,CQ12023,13.34,1,2023,2023-03-31
+MCD,McDonald's,Language Complexity,CQ12023,13.27,1,2023,2023-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12023,13.37,1,2023,2023-03-31
+ROST,Ross Stores,Language Complexity,CQ12023,11.69,1,2023,2023-03-31
+TJX,TJX Companies,Language Complexity,CQ12023,11.9,1,2023,2023-03-31
+TGT,Target,Language Complexity,CQ12023,12.16,1,2023,2023-03-31
+MO,Altria,Language Complexity,CQ12023,12.63,1,2023,2023-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12023,12.33,1,2023,2023-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12023,14.15,1,2023,2023-03-31
+CLX,Clorox,Language Complexity,CQ12023,10.88,1,2023,2023-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12023,14.05,1,2023,2023-03-31
+COST,Costco,Language Complexity,CQ12023,10.64,1,2023,2023-03-31
+GIS,General Mills,Language Complexity,CQ12023,10.62,1,2023,2023-03-31
+HSY,Hershey Company,Language Complexity,CQ12023,11.05,1,2023,2023-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12023,10.45,1,2023,2023-03-31
+KR,Kroger,Language Complexity,CQ12023,13.76,1,2023,2023-03-31
+MKC,McCormick & Company,Language Complexity,CQ12023,12.55,1,2023,2023-03-31
+PEP,PepsiCo,Language Complexity,CQ12023,10.8,1,2023,2023-03-31
+PG,Procter & Gamble,Language Complexity,CQ12023,12.59,1,2023,2023-03-31
+SYY,Sysco,Language Complexity,CQ12023,12.61,1,2023,2023-03-31
+WMT,Walmart,Language Complexity,CQ12023,11.74,1,2023,2023-03-31
+APA,APA Corporation,Language Complexity,CQ12023,11.47,1,2023,2023-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12023,,1,2023,2023-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12023,11.12,1,2023,2023-03-31
+EOG,EOG Resources,Language Complexity,CQ12023,12.77,1,2023,2023-03-31
+XOM,ExxonMobil,Language Complexity,CQ12023,13.53,1,2023,2023-03-31
+HAL,Halliburton,Language Complexity,CQ12023,12.17,1,2023,2023-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12023,13.69,1,2023,2023-03-31
+SLB,Schlumberger,Language Complexity,CQ12023,13.5,1,2023,2023-03-31
+VLO,Valero Energy,Language Complexity,CQ12023,11.21,1,2023,2023-03-31
+AFL,Aflac,Language Complexity,CQ12023,13.53,1,2023,2023-03-31
+ALL,Allstate,Language Complexity,CQ12023,13.83,1,2023,2023-03-31
+AXP,American Express,Language Complexity,CQ12023,12.74,1,2023,2023-03-31
+AIG,American International Group,Language Complexity,CQ12023,14.47,1,2023,2023-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12023,12.11,1,2023,2023-03-31
+AON,Aon plc,Language Complexity,CQ12023,13.08,1,2023,2023-03-31
+BK,BNY Mellon,Language Complexity,CQ12023,13.0,1,2023,2023-03-31
+BAC,Bank of America,Language Complexity,CQ12023,11.52,1,2023,2023-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12023,,1,2023,2023-03-31
+BLK,BlackRock,Language Complexity,CQ12023,15.28,1,2023,2023-03-31
+CME,CME Group,Language Complexity,CQ12023,11.32,1,2023,2023-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12023,,1,2023,2023-03-31
+CB,Chubb Limited,Language Complexity,CQ12023,12.04,1,2023,2023-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12023,12.78,1,2023,2023-03-31
+C,Citigroup,Language Complexity,CQ12023,12.7,1,2023,2023-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12023,12.98,1,2023,2023-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12023,12.84,1,2023,2023-03-31
+FISV,Fiserv,Language Complexity,CQ12023,13.22,1,2023,2023-03-31
+GS,Goldman Sachs,Language Complexity,CQ12023,12.24,1,2023,2023-03-31
+HIG,Hartford Financial,Language Complexity,CQ12023,12.74,1,2023,2023-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12023,13.44,1,2023,2023-03-31
+IVZ,Invesco,Language Complexity,CQ12023,13.07,1,2023,2023-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12023,10.99,1,2023,2023-03-31
+KEY,KeyCorp,Language Complexity,CQ12023,11.18,1,2023,2023-03-31
+MA,Mastercard,Language Complexity,CQ12023,12.27,1,2023,2023-03-31
+MET,MetLife,Language Complexity,CQ12023,12.78,1,2023,2023-03-31
+MS,Morgan Stanley,Language Complexity,CQ12023,12.06,1,2023,2023-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12023,13.89,1,2023,2023-03-31
+NTRS,Northern Trust,Language Complexity,CQ12023,11.63,1,2023,2023-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12023,10.28,1,2023,2023-03-31
+PRU,Prudential Financial,Language Complexity,CQ12023,13.6,1,2023,2023-03-31
+RF,Regions Financial,Language Complexity,CQ12023,11.98,1,2023,2023-03-31
+SPGI,S&P Global,Language Complexity,CQ12023,13.25,1,2023,2023-03-31
+STT,State Street,Language Complexity,CQ12023,12.17,1,2023,2023-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12023,,1,2023,2023-03-31
+TRV,Travelers Companies,Language Complexity,CQ12023,13.67,1,2023,2023-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12023,12.27,1,2023,2023-03-31
+V,Visa,Language Complexity,CQ12023,12.62,1,2023,2023-03-31
+WFC,Wells Fargo,Language Complexity,CQ12023,13.29,1,2023,2023-03-31
+ABBV,AbbVie,Language Complexity,CQ12023,12.08,1,2023,2023-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12023,11.55,1,2023,2023-03-31
+A,Agilent Technologies,Language Complexity,CQ12023,10.57,1,2023,2023-03-31
+AMGN,Amgen,Language Complexity,CQ12023,12.34,1,2023,2023-03-31
+BAX,Baxter International,Language Complexity,CQ12023,13.19,1,2023,2023-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12023,12.76,1,2023,2023-03-31
+BIIB,Biogen,Language Complexity,CQ12023,12.26,1,2023,2023-03-31
+BSX,Boston Scientific,Language Complexity,CQ12023,12.93,1,2023,2023-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12023,11.88,1,2023,2023-03-31
+CVS,CVS Health,Language Complexity,CQ12023,14.61,1,2023,2023-03-31
+COR,Cencora,Language Complexity,CQ12023,,1,2023,2023-03-31
+CI,Cigna,Language Complexity,CQ12023,14.71,1,2023,2023-03-31
+DVA,DaVita,Language Complexity,CQ12023,10.8,1,2023,2023-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12023,11.85,1,2023,2023-03-31
+LLY,Eli Lilly,Language Complexity,CQ12023,12.09,1,2023,2023-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12023,12.62,1,2023,2023-03-31
+HUM,Humana,Language Complexity,CQ12023,15.0,1,2023,2023-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12023,14.04,1,2023,2023-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12023,14.57,1,2023,2023-03-31
+LH,Labcorp,Language Complexity,CQ12023,11.48,1,2023,2023-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12023,15.31,1,2023,2023-03-31
+MDT,Medtronic,Language Complexity,CQ12023,11.75,1,2023,2023-03-31
+MRK,Merck & Co.,Language Complexity,CQ12023,13.08,1,2023,2023-03-31
+PFE,Pfizer,Language Complexity,CQ12023,12.61,1,2023,2023-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12023,12.57,1,2023,2023-03-31
+WAT,Waters Corporation,Language Complexity,CQ12023,12.45,1,2023,2023-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12023,10.8,1,2023,2023-03-31
+MMM,3M,Language Complexity,CQ12023,12.49,1,2023,2023-03-31
+AME,Ametek,Language Complexity,CQ12023,11.49,1,2023,2023-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12023,11.13,1,2023,2023-03-31
+BA,Boeing,Language Complexity,CQ12023,10.7,1,2023,2023-03-31
+CSX,CSX Corporation,Language Complexity,CQ12023,12.41,1,2023,2023-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12023,13.24,1,2023,2023-03-31
+CTAS,Cintas,Language Complexity,CQ12023,10.88,1,2023,2023-03-31
+CMI,Cummins,Language Complexity,CQ12023,12.66,1,2023,2023-03-31
+DE,Deere & Company,Language Complexity,CQ12023,11.75,1,2023,2023-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12023,10.86,1,2023,2023-03-31
+EMR,Emerson Electric,Language Complexity,CQ12023,10.94,1,2023,2023-03-31
+EFX,Equifax,Language Complexity,CQ12023,13.01,1,2023,2023-03-31
+EXPD,Expeditors International,Language Complexity,CQ12023,,1,2023,2023-03-31
+FDX,FedEx,Language Complexity,CQ12023,11.75,1,2023,2023-03-31
+GE,GE Aerospace,Language Complexity,CQ12023,11.55,1,2023,2023-03-31
+GD,General Dynamics,Language Complexity,CQ12023,11.45,1,2023,2023-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12023,11.92,1,2023,2023-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12023,12.72,1,2023,2023-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12023,11.91,1,2023,2023-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12023,12.42,1,2023,2023-03-31
+PCAR,Paccar,Language Complexity,CQ12023,10.64,1,2023,2023-03-31
+RTX,RTX Corporation,Language Complexity,CQ12023,12.21,1,2023,2023-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12023,12.25,1,2023,2023-03-31
+ROP,Roper Technologies,Language Complexity,CQ12023,11.25,1,2023,2023-03-31
+SNA,Snap-on,Language Complexity,CQ12023,12.0,1,2023,2023-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12023,14.01,1,2023,2023-03-31
+UPS,United Parcel Service,Language Complexity,CQ12023,11.62,1,2023,2023-03-31
+WM,Waste Management,Language Complexity,CQ12023,12.06,1,2023,2023-03-31
+ACN,Accenture,Language Complexity,CQ12023,13.05,1,2023,2023-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12023,15.02,1,2023,2023-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12023,11.91,1,2023,2023-03-31
+APH,Amphenol,Language Complexity,CQ12023,13.4,1,2023,2023-03-31
+ADI,Analog Devices,Language Complexity,CQ12023,12.46,1,2023,2023-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12023,12.21,1,2023,2023-03-31
+AMAT,Applied Materials,Language Complexity,CQ12023,11.28,1,2023,2023-03-31
+ADSK,Autodesk,Language Complexity,CQ12023,12.8,1,2023,2023-03-31
+AVGO,Broadcom,Language Complexity,CQ12023,12.11,1,2023,2023-03-31
+CSCO,Cisco,Language Complexity,CQ12023,11.3,1,2023,2023-03-31
+CTSH,Cognizant,Language Complexity,CQ12023,13.81,1,2023,2023-03-31
+HPQ,HP Inc.,Language Complexity,CQ12023,12.81,1,2023,2023-03-31
+IBM,IBM,Language Complexity,CQ12023,12.47,1,2023,2023-03-31
+INTC,Intel,Language Complexity,CQ12023,12.86,1,2023,2023-03-31
+INTU,Intuit,Language Complexity,CQ12023,12.15,1,2023,2023-03-31
+LRCX,Lam Research,Language Complexity,CQ12023,11.93,1,2023,2023-03-31
+MU,Micron Technology,Language Complexity,CQ12023,10.67,1,2023,2023-03-31
+MSFT,Microsoft,Language Complexity,CQ12023,13.8,1,2023,2023-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12023,12.21,1,2023,2023-03-31
+NTAP,NetApp,Language Complexity,CQ12023,11.87,1,2023,2023-03-31
+NVDA,Nvidia,Language Complexity,CQ12023,12.31,1,2023,2023-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12023,13.2,1,2023,2023-03-31
+TXN,Texas Instruments,Language Complexity,CQ12023,10.06,1,2023,2023-03-31
+APD,Air Products,Language Complexity,CQ12023,11.33,1,2023,2023-03-31
+AVY,Avery Dennison,Language Complexity,CQ12023,14.16,1,2023,2023-03-31
+ECL,Ecolab,Language Complexity,CQ12023,10.22,1,2023,2023-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12023,14.33,1,2023,2023-03-31
+IP,International Paper,Language Complexity,CQ12023,12.67,1,2023,2023-03-31
+LIN,Linde plc,Language Complexity,CQ12023,12.16,1,2023,2023-03-31
+NEM,Newmont,Language Complexity,CQ12023,13.26,1,2023,2023-03-31
+NUE,Nucor,Language Complexity,CQ12023,11.93,1,2023,2023-03-31
+AMT,American Tower,Language Complexity,CQ12023,13.72,1,2023,2023-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12023,12.8,1,2023,2023-03-31
+EQR,Equity Residential,Language Complexity,CQ12023,12.15,1,2023,2023-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12023,11.2,1,2023,2023-03-31
+IRM,Iron Mountain,Language Complexity,CQ12023,13.62,1,2023,2023-03-31
+PLD,Prologis,Language Complexity,CQ12023,10.81,1,2023,2023-03-31
+VTR,Ventas,Language Complexity,CQ12023,11.75,1,2023,2023-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12023,12.74,1,2023,2023-03-31
+AES,AES Corporation,Language Complexity,CQ12023,10.67,1,2023,2023-03-31
+AEE,Ameren,Language Complexity,CQ12023,14.62,1,2023,2023-03-31
+AEP,American Electric Power,Language Complexity,CQ12023,12.89,1,2023,2023-03-31
+CMS,CMS Energy,Language Complexity,CQ12023,12.09,1,2023,2023-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12023,14.17,1,2023,2023-03-31
+DUK,Duke Energy,Language Complexity,CQ12023,12.88,1,2023,2023-03-31
+EIX,Edison International,Language Complexity,CQ12023,12.27,1,2023,2023-03-31
+ETR,Entergy,Language Complexity,CQ12023,13.73,1,2023,2023-03-31
+EXC,Exelon,Language Complexity,CQ12023,14.16,1,2023,2023-03-31
+NEE,NextEra Energy,Language Complexity,CQ12023,15.99,1,2023,2023-03-31
+SO,Southern Company,Language Complexity,CQ12023,11.78,1,2023,2023-03-31
+XEL,Xcel Energy,Language Complexity,CQ12023,13.18,1,2023,2023-03-31
+T,AT&T,Net Positivity,CQ22023,1.28,2,2023,2023-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22023,2.25,2,2023,2023-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22023,,2,2023,2023-06-30
+META,Meta Platforms,Net Positivity,CQ22023,1.9,2,2023,2023-06-30
+NFLX,Netflix,Net Positivity,CQ22023,1.95,2,2023,2023-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22023,0.79,2,2023,2023-06-30
+OMC,Omnicom Group,Net Positivity,CQ22023,0.82,2,2023,2023-06-30
+VZ,Verizon,Net Positivity,CQ22023,1.84,2,2023,2023-06-30
+AMZN,Amazon,Net Positivity,CQ22023,1.19,2,2023,2023-06-30
+AZO,AutoZone,Net Positivity,CQ22023,0.99,2,2023,2023-06-30
+BBY,Best Buy,Net Positivity,CQ22023,1.16,2,2023,2023-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22023,1.45,2,2023,2023-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22023,2.64,2,2023,2023-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22023,1.08,2,2023,2023-06-30
+F,Ford Motor Company,Net Positivity,CQ22023,1.39,2,2023,2023-06-30
+GM,General Motors,Net Positivity,CQ22023,1.65,2,2023,2023-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22023,1.52,2,2023,2023-06-30
+HAS,Hasbro,Net Positivity,CQ22023,1.64,2,2023,2023-06-30
+LOW,Lowe's,Net Positivity,CQ22023,2.01,2,2023,2023-06-30
+MCD,McDonald's,Net Positivity,CQ22023,1.95,2,2023,2023-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22023,2.73,2,2023,2023-06-30
+ROST,Ross Stores,Net Positivity,CQ22023,0.73,2,2023,2023-06-30
+TJX,TJX Companies,Net Positivity,CQ22023,2.12,2,2023,2023-06-30
+TGT,Target,Net Positivity,CQ22023,1.04,2,2023,2023-06-30
+MO,Altria,Net Positivity,CQ22023,0.04,2,2023,2023-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22023,1.55,2,2023,2023-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22023,1.12,2,2023,2023-06-30
+CLX,Clorox,Net Positivity,CQ22023,1.36,2,2023,2023-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22023,2.03,2,2023,2023-06-30
+COST,Costco,Net Positivity,CQ22023,0.45,2,2023,2023-06-30
+GIS,General Mills,Net Positivity,CQ22023,0.75,2,2023,2023-06-30
+HSY,Hershey Company,Net Positivity,CQ22023,1.28,2,2023,2023-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22023,1.67,2,2023,2023-06-30
+KR,Kroger,Net Positivity,CQ22023,1.86,2,2023,2023-06-30
+MKC,McCormick & Company,Net Positivity,CQ22023,1.91,2,2023,2023-06-30
+PEP,PepsiCo,Net Positivity,CQ22023,1.65,2,2023,2023-06-30
+PG,Procter & Gamble,Net Positivity,CQ22023,1.52,2,2023,2023-06-30
+SYY,Sysco,Net Positivity,CQ22023,2.37,2,2023,2023-06-30
+WMT,Walmart,Net Positivity,CQ22023,1.77,2,2023,2023-06-30
+APA,APA Corporation,Net Positivity,CQ22023,0.75,2,2023,2023-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22023,,2,2023,2023-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22023,0.84,2,2023,2023-06-30
+EOG,EOG Resources,Net Positivity,CQ22023,1.29,2,2023,2023-06-30
+XOM,ExxonMobil,Net Positivity,CQ22023,1.25,2,2023,2023-06-30
+HAL,Halliburton,Net Positivity,CQ22023,2.02,2,2023,2023-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22023,1.16,2,2023,2023-06-30
+SLB,Schlumberger,Net Positivity,CQ22023,1.11,2,2023,2023-06-30
+VLO,Valero Energy,Net Positivity,CQ22023,0.46,2,2023,2023-06-30
+AFL,Aflac,Net Positivity,CQ22023,0.45,2,2023,2023-06-30
+ALL,Allstate,Net Positivity,CQ22023,-0.09,2,2023,2023-06-30
+AXP,American Express,Net Positivity,CQ22023,0.75,2,2023,2023-06-30
+AIG,American International Group,Net Positivity,CQ22023,1.09,2,2023,2023-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22023,1.47,2,2023,2023-06-30
+AON,Aon plc,Net Positivity,CQ22023,1.73,2,2023,2023-06-30
+BK,BNY Mellon,Net Positivity,CQ22023,0.91,2,2023,2023-06-30
+BAC,Bank of America,Net Positivity,CQ22023,0.58,2,2023,2023-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22023,,2,2023,2023-06-30
+BLK,BlackRock,Net Positivity,CQ22023,1.29,2,2023,2023-06-30
+CME,CME Group,Net Positivity,CQ22023,0.65,2,2023,2023-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22023,,2,2023,2023-06-30
+CB,Chubb Limited,Net Positivity,CQ22023,0.4,2,2023,2023-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22023,-0.28,2,2023,2023-06-30
+C,Citigroup,Net Positivity,CQ22023,0.66,2,2023,2023-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22023,2.03,2,2023,2023-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22023,0.2,2,2023,2023-06-30
+FISV,Fiserv,Net Positivity,CQ22023,2.11,2,2023,2023-06-30
+GS,Goldman Sachs,Net Positivity,CQ22023,0.69,2,2023,2023-06-30
+HIG,Hartford Financial,Net Positivity,CQ22023,0.65,2,2023,2023-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22023,1.1,2,2023,2023-06-30
+IVZ,Invesco,Net Positivity,CQ22023,1.57,2,2023,2023-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22023,-0.65,2,2023,2023-06-30
+KEY,KeyCorp,Net Positivity,CQ22023,0.1,2,2023,2023-06-30
+MA,Mastercard,Net Positivity,CQ22023,1.23,2,2023,2023-06-30
+MET,MetLife,Net Positivity,CQ22023,0.49,2,2023,2023-06-30
+MS,Morgan Stanley,Net Positivity,CQ22023,0.25,2,2023,2023-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22023,0.79,2,2023,2023-06-30
+NTRS,Northern Trust,Net Positivity,CQ22023,0.58,2,2023,2023-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22023,0.06,2,2023,2023-06-30
+PRU,Prudential Financial,Net Positivity,CQ22023,0.92,2,2023,2023-06-30
+RF,Regions Financial,Net Positivity,CQ22023,0.19,2,2023,2023-06-30
+SPGI,S&P Global,Net Positivity,CQ22023,1.17,2,2023,2023-06-30
+STT,State Street,Net Positivity,CQ22023,0.47,2,2023,2023-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22023,0.93,2,2023,2023-06-30
+TRV,Travelers Companies,Net Positivity,CQ22023,0.74,2,2023,2023-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22023,0.23,2,2023,2023-06-30
+V,Visa,Net Positivity,CQ22023,1.06,2,2023,2023-06-30
+WFC,Wells Fargo,Net Positivity,CQ22023,0.05,2,2023,2023-06-30
+ABBV,AbbVie,Net Positivity,CQ22023,1.29,2,2023,2023-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22023,1.75,2,2023,2023-06-30
+A,Agilent Technologies,Net Positivity,CQ22023,0.33,2,2023,2023-06-30
+AMGN,Amgen,Net Positivity,CQ22023,1.37,2,2023,2023-06-30
+BAX,Baxter International,Net Positivity,CQ22023,1.45,2,2023,2023-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22023,2.47,2,2023,2023-06-30
+BIIB,Biogen,Net Positivity,CQ22023,0.36,2,2023,2023-06-30
+BSX,Boston Scientific,Net Positivity,CQ22023,1.45,2,2023,2023-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22023,1.59,2,2023,2023-06-30
+CVS,CVS Health,Net Positivity,CQ22023,1.91,2,2023,2023-06-30
+COR,Cencora,Net Positivity,CQ22023,,2,2023,2023-06-30
+CI,Cigna,Net Positivity,CQ22023,2.14,2,2023,2023-06-30
+DVA,DaVita,Net Positivity,CQ22023,0.76,2,2023,2023-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22023,0.83,2,2023,2023-06-30
+LLY,Eli Lilly,Net Positivity,CQ22023,0.81,2,2023,2023-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22023,1.23,2,2023,2023-06-30
+HUM,Humana,Net Positivity,CQ22023,1.38,2,2023,2023-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22023,0.76,2,2023,2023-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22023,1.5,2,2023,2023-06-30
+LH,Labcorp,Net Positivity,CQ22023,1.21,2,2023,2023-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22023,1.76,2,2023,2023-06-30
+MDT,Medtronic,Net Positivity,CQ22023,1.63,2,2023,2023-06-30
+MRK,Merck & Co.,Net Positivity,CQ22023,2.1,2,2023,2023-06-30
+PFE,Pfizer,Net Positivity,CQ22023,1.04,2,2023,2023-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22023,2.41,2,2023,2023-06-30
+WAT,Waters Corporation,Net Positivity,CQ22023,0.63,2,2023,2023-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22023,1.77,2,2023,2023-06-30
+MMM,3M,Net Positivity,CQ22023,0.97,2,2023,2023-06-30
+AME,Ametek,Net Positivity,CQ22023,2.52,2,2023,2023-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22023,1.75,2,2023,2023-06-30
+BA,Boeing,Net Positivity,CQ22023,0.77,2,2023,2023-06-30
+CSX,CSX Corporation,Net Positivity,CQ22023,2.06,2,2023,2023-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22023,1.79,2,2023,2023-06-30
+CTAS,Cintas,Net Positivity,CQ22023,,2,2023,2023-06-30
+CMI,Cummins,Net Positivity,CQ22023,1.5,2,2023,2023-06-30
+DE,Deere & Company,Net Positivity,CQ22023,1.2,2,2023,2023-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22023,1.14,2,2023,2023-06-30
+EMR,Emerson Electric,Net Positivity,CQ22023,1.88,2,2023,2023-06-30
+EFX,Equifax,Net Positivity,CQ22023,0.69,2,2023,2023-06-30
+EXPD,Expeditors International,Net Positivity,CQ22023,,2,2023,2023-06-30
+FDX,FedEx,Net Positivity,CQ22023,1.18,2,2023,2023-06-30
+GE,GE Aerospace,Net Positivity,CQ22023,2.31,2,2023,2023-06-30
+GD,General Dynamics,Net Positivity,CQ22023,0.76,2,2023,2023-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22023,0.91,2,2023,2023-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22023,0.89,2,2023,2023-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22023,0.44,2,2023,2023-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22023,0.8,2,2023,2023-06-30
+PCAR,Paccar,Net Positivity,CQ22023,2.48,2,2023,2023-06-30
+RTX,RTX Corporation,Net Positivity,CQ22023,1.29,2,2023,2023-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22023,1.52,2,2023,2023-06-30
+ROP,Roper Technologies,Net Positivity,CQ22023,1.39,2,2023,2023-06-30
+SNA,Snap-on,Net Positivity,CQ22023,0.6,2,2023,2023-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22023,1.78,2,2023,2023-06-30
+UPS,United Parcel Service,Net Positivity,CQ22023,0.86,2,2023,2023-06-30
+WM,Waste Management,Net Positivity,CQ22023,1.08,2,2023,2023-06-30
+ACN,Accenture,Net Positivity,CQ22023,1.41,2,2023,2023-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22023,2.96,2,2023,2023-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22023,1.48,2,2023,2023-06-30
+APH,Amphenol,Net Positivity,CQ22023,0.75,2,2023,2023-06-30
+ADI,Analog Devices,Net Positivity,CQ22023,0.62,2,2023,2023-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22023,1.37,2,2023,2023-06-30
+AMAT,Applied Materials,Net Positivity,CQ22023,1.53,2,2023,2023-06-30
+ADSK,Autodesk,Net Positivity,CQ22023,1.35,2,2023,2023-06-30
+AVGO,Broadcom,Net Positivity,CQ22023,0.85,2,2023,2023-06-30
+CSCO,Cisco,Net Positivity,CQ22023,1.61,2,2023,2023-06-30
+CTSH,Cognizant,Net Positivity,CQ22023,1.16,2,2023,2023-06-30
+HPQ,HP Inc.,Net Positivity,CQ22023,1.92,2,2023,2023-06-30
+IBM,IBM,Net Positivity,CQ22023,0.82,2,2023,2023-06-30
+INTC,Intel,Net Positivity,CQ22023,1.72,2,2023,2023-06-30
+INTU,Intuit,Net Positivity,CQ22023,1.02,2,2023,2023-06-30
+LRCX,Lam Research,Net Positivity,CQ22023,0.6,2,2023,2023-06-30
+MU,Micron Technology,Net Positivity,CQ22023,0.24,2,2023,2023-06-30
+MSFT,Microsoft,Net Positivity,CQ22023,1.32,2,2023,2023-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22023,1.26,2,2023,2023-06-30
+NTAP,NetApp,Net Positivity,CQ22023,1.9,2,2023,2023-06-30
+NVDA,Nvidia,Net Positivity,CQ22023,0.85,2,2023,2023-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22023,1.17,2,2023,2023-06-30
+TXN,Texas Instruments,Net Positivity,CQ22023,0.53,2,2023,2023-06-30
+APD,Air Products,Net Positivity,CQ22023,1.62,2,2023,2023-06-30
+AVY,Avery Dennison,Net Positivity,CQ22023,0.6,2,2023,2023-06-30
+ECL,Ecolab,Net Positivity,CQ22023,1.92,2,2023,2023-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22023,1.3,2,2023,2023-06-30
+IP,International Paper,Net Positivity,CQ22023,0.8,2,2023,2023-06-30
+LIN,Linde plc,Net Positivity,CQ22023,0.55,2,2023,2023-06-30
+NEM,Newmont,Net Positivity,CQ22023,1.0,2,2023,2023-06-30
+NUE,Nucor,Net Positivity,CQ22023,1.48,2,2023,2023-06-30
+AMT,American Tower,Net Positivity,CQ22023,1.31,2,2023,2023-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22023,0.87,2,2023,2023-06-30
+EQR,Equity Residential,Net Positivity,CQ22023,0.33,2,2023,2023-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22023,1.13,2,2023,2023-06-30
+IRM,Iron Mountain,Net Positivity,CQ22023,1.56,2,2023,2023-06-30
+PLD,Prologis,Net Positivity,CQ22023,-0.22,2,2023,2023-06-30
+VTR,Ventas,Net Positivity,CQ22023,2.79,2,2023,2023-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22023,0.96,2,2023,2023-06-30
+AES,AES Corporation,Net Positivity,CQ22023,0.75,2,2023,2023-06-30
+AEE,Ameren,Net Positivity,CQ22023,2.06,2,2023,2023-06-30
+AEP,American Electric Power,Net Positivity,CQ22023,0.9,2,2023,2023-06-30
+CMS,CMS Energy,Net Positivity,CQ22023,1.26,2,2023,2023-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22023,1.71,2,2023,2023-06-30
+DUK,Duke Energy,Net Positivity,CQ22023,1.43,2,2023,2023-06-30
+EIX,Edison International,Net Positivity,CQ22023,1.12,2,2023,2023-06-30
+ETR,Entergy,Net Positivity,CQ22023,0.91,2,2023,2023-06-30
+EXC,Exelon,Net Positivity,CQ22023,0.97,2,2023,2023-06-30
+NEE,NextEra Energy,Net Positivity,CQ22023,1.59,2,2023,2023-06-30
+SO,Southern Company,Net Positivity,CQ22023,1.68,2,2023,2023-06-30
+XEL,Xcel Energy,Net Positivity,CQ22023,0.84,2,2023,2023-06-30
+T,AT&T,Numeric Transeprency,CQ22023,1.09,2,2023,2023-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22023,1.49,2,2023,2023-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22023,,2,2023,2023-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22023,1.64,2,2023,2023-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22023,0.93,2,2023,2023-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22023,3.24,2,2023,2023-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22023,2.31,2,2023,2023-06-30
+VZ,Verizon,Numeric Transeprency,CQ22023,1.42,2,2023,2023-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22023,1.17,2,2023,2023-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22023,2.07,2,2023,2023-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22023,1.54,2,2023,2023-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22023,1.64,2,2023,2023-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22023,1.32,2,2023,2023-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22023,2.46,2,2023,2023-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22023,1.81,2,2023,2023-06-30
+GM,General Motors,Numeric Transeprency,CQ22023,2.07,2,2023,2023-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22023,2.51,2,2023,2023-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22023,2.03,2,2023,2023-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22023,1.51,2,2023,2023-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22023,0.92,2,2023,2023-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22023,2.07,2,2023,2023-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22023,1.88,2,2023,2023-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22023,1.7,2,2023,2023-06-30
+TGT,Target,Numeric Transeprency,CQ22023,1.15,2,2023,2023-06-30
+MO,Altria,Numeric Transeprency,CQ22023,1.78,2,2023,2023-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22023,1.3,2,2023,2023-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22023,2.15,2,2023,2023-06-30
+CLX,Clorox,Numeric Transeprency,CQ22023,1.48,2,2023,2023-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22023,1.12,2,2023,2023-06-30
+COST,Costco,Numeric Transeprency,CQ22023,4.22,2,2023,2023-06-30
+GIS,General Mills,Numeric Transeprency,CQ22023,0.9,2,2023,2023-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22023,0.87,2,2023,2023-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22023,1.81,2,2023,2023-06-30
+KR,Kroger,Numeric Transeprency,CQ22023,1.11,2,2023,2023-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22023,1.69,2,2023,2023-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22023,0.74,2,2023,2023-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22023,1.59,2,2023,2023-06-30
+SYY,Sysco,Numeric Transeprency,CQ22023,1.22,2,2023,2023-06-30
+WMT,Walmart,Numeric Transeprency,CQ22023,1.26,2,2023,2023-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22023,1.72,2,2023,2023-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22023,,2,2023,2023-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22023,2.23,2,2023,2023-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22023,1.7,2,2023,2023-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22023,0.72,2,2023,2023-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22023,2.02,2,2023,2023-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22023,1.72,2,2023,2023-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22023,1.52,2,2023,2023-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22023,2.82,2,2023,2023-06-30
+AFL,Aflac,Numeric Transeprency,CQ22023,1.17,2,2023,2023-06-30
+ALL,Allstate,Numeric Transeprency,CQ22023,2.15,2,2023,2023-06-30
+AXP,American Express,Numeric Transeprency,CQ22023,2.26,2,2023,2023-06-30
+AIG,American International Group,Numeric Transeprency,CQ22023,3.33,2,2023,2023-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22023,2.27,2,2023,2023-06-30
+AON,Aon plc,Numeric Transeprency,CQ22023,2.07,2,2023,2023-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22023,1.47,2,2023,2023-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22023,2.98,2,2023,2023-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22023,,2,2023,2023-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22023,1.79,2,2023,2023-06-30
+CME,CME Group,Numeric Transeprency,CQ22023,1.84,2,2023,2023-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22023,,2,2023,2023-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22023,2.4,2,2023,2023-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22023,2.12,2,2023,2023-06-30
+C,Citigroup,Numeric Transeprency,CQ22023,1.95,2,2023,2023-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22023,2.22,2,2023,2023-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22023,2.85,2,2023,2023-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22023,2.33,2,2023,2023-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22023,1.83,2,2023,2023-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22023,2.14,2,2023,2023-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22023,1.38,2,2023,2023-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22023,2.19,2,2023,2023-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22023,2.18,2,2023,2023-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22023,3.13,2,2023,2023-06-30
+MA,Mastercard,Numeric Transeprency,CQ22023,1.72,2,2023,2023-06-30
+MET,MetLife,Numeric Transeprency,CQ22023,3.23,2,2023,2023-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22023,1.85,2,2023,2023-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22023,2.1,2,2023,2023-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22023,2.39,2,2023,2023-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22023,3.16,2,2023,2023-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22023,1.3,2,2023,2023-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22023,2.51,2,2023,2023-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22023,1.61,2,2023,2023-06-30
+STT,State Street,Numeric Transeprency,CQ22023,2.32,2,2023,2023-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22023,1.92,2,2023,2023-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22023,2.06,2,2023,2023-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22023,2.62,2,2023,2023-06-30
+V,Visa,Numeric Transeprency,CQ22023,3.17,2,2023,2023-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22023,1.48,2,2023,2023-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22023,2.02,2,2023,2023-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22023,1.36,2,2023,2023-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22023,1.32,2,2023,2023-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22023,2.11,2,2023,2023-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22023,1.85,2,2023,2023-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22023,1.97,2,2023,2023-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22023,1.37,2,2023,2023-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22023,2.77,2,2023,2023-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22023,1.4,2,2023,2023-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22023,2.52,2,2023,2023-06-30
+COR,Cencora,Numeric Transeprency,CQ22023,,2,2023,2023-06-30
+CI,Cigna,Numeric Transeprency,CQ22023,1.57,2,2023,2023-06-30
+DVA,DaVita,Numeric Transeprency,CQ22023,2.56,2,2023,2023-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22023,1.67,2,2023,2023-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22023,2.35,2,2023,2023-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22023,2.01,2,2023,2023-06-30
+HUM,Humana,Numeric Transeprency,CQ22023,1.97,2,2023,2023-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22023,2.57,2,2023,2023-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22023,2.98,2,2023,2023-06-30
+LH,Labcorp,Numeric Transeprency,CQ22023,3.1,2,2023,2023-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22023,3.05,2,2023,2023-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22023,1.42,2,2023,2023-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22023,1.33,2,2023,2023-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22023,1.88,2,2023,2023-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22023,2.1,2,2023,2023-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22023,2.61,2,2023,2023-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22023,1.92,2,2023,2023-06-30
+MMM,3M,Numeric Transeprency,CQ22023,2.36,2,2023,2023-06-30
+AME,Ametek,Numeric Transeprency,CQ22023,2.06,2,2023,2023-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22023,1.08,2,2023,2023-06-30
+BA,Boeing,Numeric Transeprency,CQ22023,2.8,2,2023,2023-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22023,1.64,2,2023,2023-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22023,2.2,2,2023,2023-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22023,,2,2023,2023-06-30
+CMI,Cummins,Numeric Transeprency,CQ22023,3.63,2,2023,2023-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22023,2.13,2,2023,2023-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22023,2.69,2,2023,2023-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22023,2.25,2,2023,2023-06-30
+EFX,Equifax,Numeric Transeprency,CQ22023,3.56,2,2023,2023-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22023,,2,2023,2023-06-30
+FDX,FedEx,Numeric Transeprency,CQ22023,2.73,2,2023,2023-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22023,1.8,2,2023,2023-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22023,2.23,2,2023,2023-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22023,3.11,2,2023,2023-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22023,2.19,2,2023,2023-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22023,1.17,2,2023,2023-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22023,1.5,2,2023,2023-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22023,2.11,2,2023,2023-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22023,2.37,2,2023,2023-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22023,2.59,2,2023,2023-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22023,1.8,2,2023,2023-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22023,3.03,2,2023,2023-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22023,2.21,2,2023,2023-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22023,2.75,2,2023,2023-06-30
+WM,Waste Management,Numeric Transeprency,CQ22023,1.86,2,2023,2023-06-30
+ACN,Accenture,Numeric Transeprency,CQ22023,2.61,2,2023,2023-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22023,1.53,2,2023,2023-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22023,2.42,2,2023,2023-06-30
+APH,Amphenol,Numeric Transeprency,CQ22023,2.27,2,2023,2023-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22023,1.38,2,2023,2023-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22023,1.73,2,2023,2023-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22023,1.63,2,2023,2023-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22023,1.33,2,2023,2023-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22023,3.08,2,2023,2023-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22023,2.88,2,2023,2023-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22023,2.51,2,2023,2023-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22023,1.83,2,2023,2023-06-30
+IBM,IBM,Numeric Transeprency,CQ22023,2.73,2,2023,2023-06-30
+INTC,Intel,Numeric Transeprency,CQ22023,2.01,2,2023,2023-06-30
+INTU,Intuit,Numeric Transeprency,CQ22023,2.23,2,2023,2023-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22023,1.96,2,2023,2023-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22023,1.74,2,2023,2023-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22023,3.08,2,2023,2023-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22023,3.38,2,2023,2023-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22023,2.44,2,2023,2023-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22023,1.7,2,2023,2023-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22023,2.95,2,2023,2023-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22023,2.27,2,2023,2023-06-30
+APD,Air Products,Numeric Transeprency,CQ22023,2.15,2,2023,2023-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22023,1.39,2,2023,2023-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22023,1.54,2,2023,2023-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22023,1.88,2,2023,2023-06-30
+IP,International Paper,Numeric Transeprency,CQ22023,1.24,2,2023,2023-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22023,1.63,2,2023,2023-06-30
+NEM,Newmont,Numeric Transeprency,CQ22023,2.05,2,2023,2023-06-30
+NUE,Nucor,Numeric Transeprency,CQ22023,1.91,2,2023,2023-06-30
+AMT,American Tower,Numeric Transeprency,CQ22023,2.35,2,2023,2023-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22023,1.9,2,2023,2023-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22023,1.44,2,2023,2023-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22023,2.34,2,2023,2023-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22023,1.66,2,2023,2023-06-30
+PLD,Prologis,Numeric Transeprency,CQ22023,2.33,2,2023,2023-06-30
+VTR,Ventas,Numeric Transeprency,CQ22023,2.59,2,2023,2023-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22023,1.39,2,2023,2023-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22023,2.15,2,2023,2023-06-30
+AEE,Ameren,Numeric Transeprency,CQ22023,4.29,2,2023,2023-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22023,2.34,2,2023,2023-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22023,1.85,2,2023,2023-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22023,2.96,2,2023,2023-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22023,2.49,2,2023,2023-06-30
+EIX,Edison International,Numeric Transeprency,CQ22023,3.51,2,2023,2023-06-30
+ETR,Entergy,Numeric Transeprency,CQ22023,2.14,2,2023,2023-06-30
+EXC,Exelon,Numeric Transeprency,CQ22023,2.94,2,2023,2023-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22023,3.16,2,2023,2023-06-30
+SO,Southern Company,Numeric Transeprency,CQ22023,2.09,2,2023,2023-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22023,1.93,2,2023,2023-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22023,24.0,2,2023,2023-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22023,12.24,2,2023,2023-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22023,,2,2023,2023-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22023,14.29,2,2023,2023-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22023,2.7,2,2023,2023-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22023,45.45,2,2023,2023-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22023,46.15,2,2023,2023-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22023,43.48,2,2023,2023-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22023,12.5,2,2023,2023-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22023,36.0,2,2023,2023-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22023,32.14,2,2023,2023-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22023,28.57,2,2023,2023-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22023,41.38,2,2023,2023-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22023,72.0,2,2023,2023-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22023,40.0,2,2023,2023-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22023,50.0,2,2023,2023-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22023,46.15,2,2023,2023-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22023,27.27,2,2023,2023-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22023,20.0,2,2023,2023-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22023,31.25,2,2023,2023-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22023,14.29,2,2023,2023-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22023,57.89,2,2023,2023-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22023,36.36,2,2023,2023-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22023,14.71,2,2023,2023-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22023,30.77,2,2023,2023-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22023,69.23,2,2023,2023-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22023,25.0,2,2023,2023-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22023,56.25,2,2023,2023-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22023,57.14,2,2023,2023-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22023,25.0,2,2023,2023-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22023,50.0,2,2023,2023-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22023,68.75,2,2023,2023-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22023,35.71,2,2023,2023-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22023,36.36,2,2023,2023-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22023,60.0,2,2023,2023-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22023,61.11,2,2023,2023-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22023,60.0,2,2023,2023-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22023,33.33,2,2023,2023-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22023,28.21,2,2023,2023-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22023,40.0,2,2023,2023-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22023,,2,2023,2023-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22023,12.5,2,2023,2023-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22023,23.08,2,2023,2023-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22023,44.0,2,2023,2023-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22023,36.0,2,2023,2023-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22023,22.73,2,2023,2023-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22023,26.92,2,2023,2023-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22023,35.29,2,2023,2023-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22023,58.33,2,2023,2023-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22023,33.33,2,2023,2023-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22023,13.04,2,2023,2023-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22023,29.41,2,2023,2023-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22023,53.85,2,2023,2023-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22023,38.89,2,2023,2023-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22023,52.94,2,2023,2023-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22023,37.5,2,2023,2023-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22023,,2,2023,2023-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22023,31.25,2,2023,2023-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22023,64.71,2,2023,2023-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22023,,2,2023,2023-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22023,35.0,2,2023,2023-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22023,85.71,2,2023,2023-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22023,39.13,2,2023,2023-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22023,34.62,2,2023,2023-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22023,36.36,2,2023,2023-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22023,19.23,2,2023,2023-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22023,45.83,2,2023,2023-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22023,47.06,2,2023,2023-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22023,42.86,2,2023,2023-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22023,28.57,2,2023,2023-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22023,37.5,2,2023,2023-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22023,38.1,2,2023,2023-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22023,25.0,2,2023,2023-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22023,37.5,2,2023,2023-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22023,37.5,2,2023,2023-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22023,64.71,2,2023,2023-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22023,60.0,2,2023,2023-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22023,26.09,2,2023,2023-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22023,46.67,2,2023,2023-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22023,32.0,2,2023,2023-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22023,61.11,2,2023,2023-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22023,35.29,2,2023,2023-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22023,58.33,2,2023,2023-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22023,63.16,2,2023,2023-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22023,36.0,2,2023,2023-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22023,21.21,2,2023,2023-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22023,36.0,2,2023,2023-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22023,29.17,2,2023,2023-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22023,33.33,2,2023,2023-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22023,50.0,2,2023,2023-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22023,41.67,2,2023,2023-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22023,40.0,2,2023,2023-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22023,31.25,2,2023,2023-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22023,24.14,2,2023,2023-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22023,28.0,2,2023,2023-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22023,45.45,2,2023,2023-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22023,18.18,2,2023,2023-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22023,,2,2023,2023-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22023,47.06,2,2023,2023-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22023,33.33,2,2023,2023-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22023,25.0,2,2023,2023-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22023,47.62,2,2023,2023-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22023,27.27,2,2023,2023-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22023,65.0,2,2023,2023-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22023,30.0,2,2023,2023-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22023,33.33,2,2023,2023-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22023,38.46,2,2023,2023-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22023,50.0,2,2023,2023-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22023,37.5,2,2023,2023-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22023,34.78,2,2023,2023-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22023,65.0,2,2023,2023-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22023,29.17,2,2023,2023-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22023,43.75,2,2023,2023-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22023,34.78,2,2023,2023-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22023,60.0,2,2023,2023-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22023,46.67,2,2023,2023-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22023,43.75,2,2023,2023-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22023,52.63,2,2023,2023-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22023,51.85,2,2023,2023-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22023,52.0,2,2023,2023-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22023,,2,2023,2023-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22023,30.43,2,2023,2023-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22023,38.46,2,2023,2023-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22023,41.18,2,2023,2023-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22023,36.84,2,2023,2023-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22023,72.22,2,2023,2023-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22023,,2,2023,2023-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22023,51.72,2,2023,2023-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22023,52.94,2,2023,2023-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22023,58.82,2,2023,2023-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22023,35.0,2,2023,2023-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22023,50.0,2,2023,2023-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22023,48.15,2,2023,2023-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22023,52.63,2,2023,2023-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22023,61.11,2,2023,2023-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22023,45.0,2,2023,2023-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22023,36.36,2,2023,2023-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22023,46.15,2,2023,2023-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22023,57.14,2,2023,2023-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22023,33.33,2,2023,2023-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22023,23.08,2,2023,2023-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22023,42.11,2,2023,2023-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22023,20.83,2,2023,2023-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22023,20.69,2,2023,2023-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22023,23.81,2,2023,2023-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22023,46.15,2,2023,2023-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22023,28.0,2,2023,2023-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22023,25.64,2,2023,2023-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22023,51.85,2,2023,2023-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22023,32.14,2,2023,2023-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22023,42.31,2,2023,2023-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22023,30.43,2,2023,2023-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22023,12.0,2,2023,2023-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22023,40.0,2,2023,2023-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22023,38.46,2,2023,2023-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22023,19.44,2,2023,2023-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22023,37.5,2,2023,2023-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22023,52.38,2,2023,2023-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22023,12.12,2,2023,2023-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22023,11.63,2,2023,2023-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22023,30.0,2,2023,2023-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22023,52.63,2,2023,2023-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22023,11.9,2,2023,2023-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22023,18.52,2,2023,2023-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22023,24.14,2,2023,2023-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22023,44.44,2,2023,2023-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22023,58.33,2,2023,2023-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22023,75.0,2,2023,2023-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22023,41.18,2,2023,2023-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22023,60.0,2,2023,2023-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22023,55.0,2,2023,2023-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22023,29.41,2,2023,2023-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22023,53.85,2,2023,2023-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22023,50.0,2,2023,2023-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22023,36.36,2,2023,2023-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22023,50.0,2,2023,2023-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22023,50.0,2,2023,2023-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22023,83.33,2,2023,2023-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22023,50.0,2,2023,2023-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22023,50.0,2,2023,2023-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22023,63.64,2,2023,2023-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22023,54.55,2,2023,2023-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22023,0.0,2,2023,2023-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22023,35.29,2,2023,2023-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22023,37.5,2,2023,2023-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22023,20.0,2,2023,2023-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22023,25.0,2,2023,2023-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22023,21.43,2,2023,2023-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22023,31.25,2,2023,2023-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22023,33.33,2,2023,2023-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22023,33.33,2,2023,2023-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22023,53.33,2,2023,2023-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22023,42.86,2,2023,2023-06-30
+T,AT&T,Language Complexity,CQ22023,13.16,2,2023,2023-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22023,13.01,2,2023,2023-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22023,,2,2023,2023-06-30
+META,Meta Platforms,Language Complexity,CQ22023,13.6,2,2023,2023-06-30
+NFLX,Netflix,Language Complexity,CQ22023,10.86,2,2023,2023-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22023,14.45,2,2023,2023-06-30
+OMC,Omnicom Group,Language Complexity,CQ22023,13.11,2,2023,2023-06-30
+VZ,Verizon,Language Complexity,CQ22023,11.53,2,2023,2023-06-30
+AMZN,Amazon,Language Complexity,CQ22023,14.09,2,2023,2023-06-30
+AZO,AutoZone,Language Complexity,CQ22023,11.59,2,2023,2023-06-30
+BBY,Best Buy,Language Complexity,CQ22023,13.83,2,2023,2023-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22023,12.17,2,2023,2023-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22023,11.71,2,2023,2023-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22023,11.04,2,2023,2023-06-30
+F,Ford Motor Company,Language Complexity,CQ22023,11.19,2,2023,2023-06-30
+GM,General Motors,Language Complexity,CQ22023,12.22,2,2023,2023-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22023,12.61,2,2023,2023-06-30
+HAS,Hasbro,Language Complexity,CQ22023,12.33,2,2023,2023-06-30
+LOW,Lowe's,Language Complexity,CQ22023,13.64,2,2023,2023-06-30
+MCD,McDonald's,Language Complexity,CQ22023,13.8,2,2023,2023-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22023,13.22,2,2023,2023-06-30
+ROST,Ross Stores,Language Complexity,CQ22023,10.84,2,2023,2023-06-30
+TJX,TJX Companies,Language Complexity,CQ22023,11.2,2,2023,2023-06-30
+TGT,Target,Language Complexity,CQ22023,14.52,2,2023,2023-06-30
+MO,Altria,Language Complexity,CQ22023,13.85,2,2023,2023-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22023,12.16,2,2023,2023-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22023,14.22,2,2023,2023-06-30
+CLX,Clorox,Language Complexity,CQ22023,11.08,2,2023,2023-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22023,12.94,2,2023,2023-06-30
+COST,Costco,Language Complexity,CQ22023,10.53,2,2023,2023-06-30
+GIS,General Mills,Language Complexity,CQ22023,11.08,2,2023,2023-06-30
+HSY,Hershey Company,Language Complexity,CQ22023,10.99,2,2023,2023-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22023,11.03,2,2023,2023-06-30
+KR,Kroger,Language Complexity,CQ22023,13.37,2,2023,2023-06-30
+MKC,McCormick & Company,Language Complexity,CQ22023,12.83,2,2023,2023-06-30
+PEP,PepsiCo,Language Complexity,CQ22023,11.93,2,2023,2023-06-30
+PG,Procter & Gamble,Language Complexity,CQ22023,12.41,2,2023,2023-06-30
+SYY,Sysco,Language Complexity,CQ22023,12.64,2,2023,2023-06-30
+WMT,Walmart,Language Complexity,CQ22023,12.3,2,2023,2023-06-30
+APA,APA Corporation,Language Complexity,CQ22023,10.94,2,2023,2023-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22023,,2,2023,2023-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22023,10.49,2,2023,2023-06-30
+EOG,EOG Resources,Language Complexity,CQ22023,12.72,2,2023,2023-06-30
+XOM,ExxonMobil,Language Complexity,CQ22023,12.23,2,2023,2023-06-30
+HAL,Halliburton,Language Complexity,CQ22023,12.24,2,2023,2023-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22023,13.2,2,2023,2023-06-30
+SLB,Schlumberger,Language Complexity,CQ22023,13.97,2,2023,2023-06-30
+VLO,Valero Energy,Language Complexity,CQ22023,11.2,2,2023,2023-06-30
+AFL,Aflac,Language Complexity,CQ22023,12.1,2,2023,2023-06-30
+ALL,Allstate,Language Complexity,CQ22023,13.58,2,2023,2023-06-30
+AXP,American Express,Language Complexity,CQ22023,11.99,2,2023,2023-06-30
+AIG,American International Group,Language Complexity,CQ22023,14.18,2,2023,2023-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22023,11.38,2,2023,2023-06-30
+AON,Aon plc,Language Complexity,CQ22023,12.44,2,2023,2023-06-30
+BK,BNY Mellon,Language Complexity,CQ22023,12.17,2,2023,2023-06-30
+BAC,Bank of America,Language Complexity,CQ22023,11.24,2,2023,2023-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22023,,2,2023,2023-06-30
+BLK,BlackRock,Language Complexity,CQ22023,14.38,2,2023,2023-06-30
+CME,CME Group,Language Complexity,CQ22023,10.81,2,2023,2023-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22023,,2,2023,2023-06-30
+CB,Chubb Limited,Language Complexity,CQ22023,11.46,2,2023,2023-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22023,12.29,2,2023,2023-06-30
+C,Citigroup,Language Complexity,CQ22023,12.82,2,2023,2023-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22023,12.41,2,2023,2023-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22023,13.25,2,2023,2023-06-30
+FISV,Fiserv,Language Complexity,CQ22023,12.44,2,2023,2023-06-30
+GS,Goldman Sachs,Language Complexity,CQ22023,12.18,2,2023,2023-06-30
+HIG,Hartford Financial,Language Complexity,CQ22023,12.62,2,2023,2023-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22023,13.6,2,2023,2023-06-30
+IVZ,Invesco,Language Complexity,CQ22023,12.58,2,2023,2023-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22023,10.16,2,2023,2023-06-30
+KEY,KeyCorp,Language Complexity,CQ22023,11.17,2,2023,2023-06-30
+MA,Mastercard,Language Complexity,CQ22023,12.2,2,2023,2023-06-30
+MET,MetLife,Language Complexity,CQ22023,13.21,2,2023,2023-06-30
+MS,Morgan Stanley,Language Complexity,CQ22023,11.67,2,2023,2023-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22023,13.27,2,2023,2023-06-30
+NTRS,Northern Trust,Language Complexity,CQ22023,11.52,2,2023,2023-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22023,11.9,2,2023,2023-06-30
+PRU,Prudential Financial,Language Complexity,CQ22023,14.08,2,2023,2023-06-30
+RF,Regions Financial,Language Complexity,CQ22023,11.6,2,2023,2023-06-30
+SPGI,S&P Global,Language Complexity,CQ22023,13.1,2,2023,2023-06-30
+STT,State Street,Language Complexity,CQ22023,12.49,2,2023,2023-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22023,13.49,2,2023,2023-06-30
+TRV,Travelers Companies,Language Complexity,CQ22023,12.53,2,2023,2023-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22023,11.56,2,2023,2023-06-30
+V,Visa,Language Complexity,CQ22023,11.89,2,2023,2023-06-30
+WFC,Wells Fargo,Language Complexity,CQ22023,12.62,2,2023,2023-06-30
+ABBV,AbbVie,Language Complexity,CQ22023,12.46,2,2023,2023-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22023,11.16,2,2023,2023-06-30
+A,Agilent Technologies,Language Complexity,CQ22023,10.45,2,2023,2023-06-30
+AMGN,Amgen,Language Complexity,CQ22023,12.79,2,2023,2023-06-30
+BAX,Baxter International,Language Complexity,CQ22023,12.13,2,2023,2023-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22023,13.22,2,2023,2023-06-30
+BIIB,Biogen,Language Complexity,CQ22023,12.63,2,2023,2023-06-30
+BSX,Boston Scientific,Language Complexity,CQ22023,12.16,2,2023,2023-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22023,12.0,2,2023,2023-06-30
+CVS,CVS Health,Language Complexity,CQ22023,14.8,2,2023,2023-06-30
+COR,Cencora,Language Complexity,CQ22023,,2,2023,2023-06-30
+CI,Cigna,Language Complexity,CQ22023,14.97,2,2023,2023-06-30
+DVA,DaVita,Language Complexity,CQ22023,11.12,2,2023,2023-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22023,12.31,2,2023,2023-06-30
+LLY,Eli Lilly,Language Complexity,CQ22023,12.93,2,2023,2023-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22023,12.68,2,2023,2023-06-30
+HUM,Humana,Language Complexity,CQ22023,14.5,2,2023,2023-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22023,13.18,2,2023,2023-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22023,13.12,2,2023,2023-06-30
+LH,Labcorp,Language Complexity,CQ22023,11.52,2,2023,2023-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22023,15.26,2,2023,2023-06-30
+MDT,Medtronic,Language Complexity,CQ22023,11.14,2,2023,2023-06-30
+MRK,Merck & Co.,Language Complexity,CQ22023,13.44,2,2023,2023-06-30
+PFE,Pfizer,Language Complexity,CQ22023,12.31,2,2023,2023-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22023,12.75,2,2023,2023-06-30
+WAT,Waters Corporation,Language Complexity,CQ22023,12.29,2,2023,2023-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22023,10.57,2,2023,2023-06-30
+MMM,3M,Language Complexity,CQ22023,12.75,2,2023,2023-06-30
+AME,Ametek,Language Complexity,CQ22023,11.49,2,2023,2023-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22023,11.3,2,2023,2023-06-30
+BA,Boeing,Language Complexity,CQ22023,10.55,2,2023,2023-06-30
+CSX,CSX Corporation,Language Complexity,CQ22023,12.42,2,2023,2023-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22023,12.41,2,2023,2023-06-30
+CTAS,Cintas,Language Complexity,CQ22023,,2,2023,2023-06-30
+CMI,Cummins,Language Complexity,CQ22023,12.75,2,2023,2023-06-30
+DE,Deere & Company,Language Complexity,CQ22023,12.96,2,2023,2023-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22023,12.06,2,2023,2023-06-30
+EMR,Emerson Electric,Language Complexity,CQ22023,12.12,2,2023,2023-06-30
+EFX,Equifax,Language Complexity,CQ22023,12.72,2,2023,2023-06-30
+EXPD,Expeditors International,Language Complexity,CQ22023,,2,2023,2023-06-30
+FDX,FedEx,Language Complexity,CQ22023,12.44,2,2023,2023-06-30
+GE,GE Aerospace,Language Complexity,CQ22023,11.48,2,2023,2023-06-30
+GD,General Dynamics,Language Complexity,CQ22023,11.14,2,2023,2023-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22023,11.09,2,2023,2023-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22023,12.56,2,2023,2023-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22023,12.49,2,2023,2023-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22023,13.19,2,2023,2023-06-30
+PCAR,Paccar,Language Complexity,CQ22023,10.24,2,2023,2023-06-30
+RTX,RTX Corporation,Language Complexity,CQ22023,11.31,2,2023,2023-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22023,11.73,2,2023,2023-06-30
+ROP,Roper Technologies,Language Complexity,CQ22023,11.26,2,2023,2023-06-30
+SNA,Snap-on,Language Complexity,CQ22023,11.35,2,2023,2023-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22023,14.21,2,2023,2023-06-30
+UPS,United Parcel Service,Language Complexity,CQ22023,11.32,2,2023,2023-06-30
+WM,Waste Management,Language Complexity,CQ22023,11.55,2,2023,2023-06-30
+ACN,Accenture,Language Complexity,CQ22023,12.8,2,2023,2023-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22023,15.24,2,2023,2023-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22023,12.37,2,2023,2023-06-30
+APH,Amphenol,Language Complexity,CQ22023,14.07,2,2023,2023-06-30
+ADI,Analog Devices,Language Complexity,CQ22023,11.92,2,2023,2023-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22023,11.73,2,2023,2023-06-30
+AMAT,Applied Materials,Language Complexity,CQ22023,11.43,2,2023,2023-06-30
+ADSK,Autodesk,Language Complexity,CQ22023,13.15,2,2023,2023-06-30
+AVGO,Broadcom,Language Complexity,CQ22023,11.49,2,2023,2023-06-30
+CSCO,Cisco,Language Complexity,CQ22023,11.46,2,2023,2023-06-30
+CTSH,Cognizant,Language Complexity,CQ22023,14.13,2,2023,2023-06-30
+HPQ,HP Inc.,Language Complexity,CQ22023,12.59,2,2023,2023-06-30
+IBM,IBM,Language Complexity,CQ22023,12.49,2,2023,2023-06-30
+INTC,Intel,Language Complexity,CQ22023,12.75,2,2023,2023-06-30
+INTU,Intuit,Language Complexity,CQ22023,12.31,2,2023,2023-06-30
+LRCX,Lam Research,Language Complexity,CQ22023,12.06,2,2023,2023-06-30
+MU,Micron Technology,Language Complexity,CQ22023,10.86,2,2023,2023-06-30
+MSFT,Microsoft,Language Complexity,CQ22023,14.34,2,2023,2023-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22023,12.44,2,2023,2023-06-30
+NTAP,NetApp,Language Complexity,CQ22023,12.33,2,2023,2023-06-30
+NVDA,Nvidia,Language Complexity,CQ22023,12.97,2,2023,2023-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22023,12.99,2,2023,2023-06-30
+TXN,Texas Instruments,Language Complexity,CQ22023,9.95,2,2023,2023-06-30
+APD,Air Products,Language Complexity,CQ22023,11.55,2,2023,2023-06-30
+AVY,Avery Dennison,Language Complexity,CQ22023,13.96,2,2023,2023-06-30
+ECL,Ecolab,Language Complexity,CQ22023,10.61,2,2023,2023-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22023,14.1,2,2023,2023-06-30
+IP,International Paper,Language Complexity,CQ22023,12.16,2,2023,2023-06-30
+LIN,Linde plc,Language Complexity,CQ22023,12.26,2,2023,2023-06-30
+NEM,Newmont,Language Complexity,CQ22023,14.31,2,2023,2023-06-30
+NUE,Nucor,Language Complexity,CQ22023,12.21,2,2023,2023-06-30
+AMT,American Tower,Language Complexity,CQ22023,13.38,2,2023,2023-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22023,12.19,2,2023,2023-06-30
+EQR,Equity Residential,Language Complexity,CQ22023,11.27,2,2023,2023-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22023,10.68,2,2023,2023-06-30
+IRM,Iron Mountain,Language Complexity,CQ22023,13.4,2,2023,2023-06-30
+PLD,Prologis,Language Complexity,CQ22023,10.8,2,2023,2023-06-30
+VTR,Ventas,Language Complexity,CQ22023,12.29,2,2023,2023-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22023,12.32,2,2023,2023-06-30
+AES,AES Corporation,Language Complexity,CQ22023,11.31,2,2023,2023-06-30
+AEE,Ameren,Language Complexity,CQ22023,16.21,2,2023,2023-06-30
+AEP,American Electric Power,Language Complexity,CQ22023,13.72,2,2023,2023-06-30
+CMS,CMS Energy,Language Complexity,CQ22023,12.14,2,2023,2023-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22023,14.01,2,2023,2023-06-30
+DUK,Duke Energy,Language Complexity,CQ22023,13.47,2,2023,2023-06-30
+EIX,Edison International,Language Complexity,CQ22023,13.44,2,2023,2023-06-30
+ETR,Entergy,Language Complexity,CQ22023,13.4,2,2023,2023-06-30
+EXC,Exelon,Language Complexity,CQ22023,14.25,2,2023,2023-06-30
+NEE,NextEra Energy,Language Complexity,CQ22023,16.01,2,2023,2023-06-30
+SO,Southern Company,Language Complexity,CQ22023,11.77,2,2023,2023-06-30
+XEL,Xcel Energy,Language Complexity,CQ22023,12.85,2,2023,2023-06-30
+T,AT&T,Net Positivity,CQ32023,1.35,3,2023,2023-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32023,2.5,3,2023,2023-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32023,,3,2023,2023-09-30
+META,Meta Platforms,Net Positivity,CQ32023,1.25,3,2023,2023-09-30
+NFLX,Netflix,Net Positivity,CQ32023,1.5,3,2023,2023-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32023,0.61,3,2023,2023-09-30
+OMC,Omnicom Group,Net Positivity,CQ32023,1.28,3,2023,2023-09-30
+VZ,Verizon,Net Positivity,CQ32023,1.86,3,2023,2023-09-30
+AMZN,Amazon,Net Positivity,CQ32023,1.95,3,2023,2023-09-30
+AZO,AutoZone,Net Positivity,CQ32023,1.44,3,2023,2023-09-30
+BBY,Best Buy,Net Positivity,CQ32023,1.54,3,2023,2023-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32023,1.9,3,2023,2023-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32023,2.08,3,2023,2023-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32023,0.75,3,2023,2023-09-30
+F,Ford Motor Company,Net Positivity,CQ32023,1.13,3,2023,2023-09-30
+GM,General Motors,Net Positivity,CQ32023,1.49,3,2023,2023-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32023,1.95,3,2023,2023-09-30
+HAS,Hasbro,Net Positivity,CQ32023,0.71,3,2023,2023-09-30
+LOW,Lowe's,Net Positivity,CQ32023,1.82,3,2023,2023-09-30
+MCD,McDonald's,Net Positivity,CQ32023,1.92,3,2023,2023-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32023,3.03,3,2023,2023-09-30
+ROST,Ross Stores,Net Positivity,CQ32023,1.96,3,2023,2023-09-30
+TJX,TJX Companies,Net Positivity,CQ32023,2.59,3,2023,2023-09-30
+TGT,Target,Net Positivity,CQ32023,1.43,3,2023,2023-09-30
+MO,Altria,Net Positivity,CQ32023,0.5,3,2023,2023-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32023,1.49,3,2023,2023-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32023,0.59,3,2023,2023-09-30
+CLX,Clorox,Net Positivity,CQ32023,1.69,3,2023,2023-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32023,1.59,3,2023,2023-09-30
+COST,Costco,Net Positivity,CQ32023,0.58,3,2023,2023-09-30
+GIS,General Mills,Net Positivity,CQ32023,0.74,3,2023,2023-09-30
+HSY,Hershey Company,Net Positivity,CQ32023,1.07,3,2023,2023-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32023,1.99,3,2023,2023-09-30
+KR,Kroger,Net Positivity,CQ32023,1.65,3,2023,2023-09-30
+MKC,McCormick & Company,Net Positivity,CQ32023,,3,2023,2023-09-30
+PEP,PepsiCo,Net Positivity,CQ32023,1.89,3,2023,2023-09-30
+PG,Procter & Gamble,Net Positivity,CQ32023,2.34,3,2023,2023-09-30
+SYY,Sysco,Net Positivity,CQ32023,2.76,3,2023,2023-09-30
+WMT,Walmart,Net Positivity,CQ32023,2.32,3,2023,2023-09-30
+APA,APA Corporation,Net Positivity,CQ32023,0.93,3,2023,2023-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32023,,3,2023,2023-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32023,1.33,3,2023,2023-09-30
+EOG,EOG Resources,Net Positivity,CQ32023,1.5,3,2023,2023-09-30
+XOM,ExxonMobil,Net Positivity,CQ32023,1.95,3,2023,2023-09-30
+HAL,Halliburton,Net Positivity,CQ32023,1.52,3,2023,2023-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32023,1.74,3,2023,2023-09-30
+SLB,Schlumberger,Net Positivity,CQ32023,1.51,3,2023,2023-09-30
+VLO,Valero Energy,Net Positivity,CQ32023,0.79,3,2023,2023-09-30
+AFL,Aflac,Net Positivity,CQ32023,0.94,3,2023,2023-09-30
+ALL,Allstate,Net Positivity,CQ32023,-0.63,3,2023,2023-09-30
+AXP,American Express,Net Positivity,CQ32023,0.97,3,2023,2023-09-30
+AIG,American International Group,Net Positivity,CQ32023,0.68,3,2023,2023-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32023,1.44,3,2023,2023-09-30
+AON,Aon plc,Net Positivity,CQ32023,2.05,3,2023,2023-09-30
+BK,BNY Mellon,Net Positivity,CQ32023,1.23,3,2023,2023-09-30
+BAC,Bank of America,Net Positivity,CQ32023,0.84,3,2023,2023-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32023,,3,2023,2023-09-30
+BLK,BlackRock,Net Positivity,CQ32023,2.19,3,2023,2023-09-30
+CME,CME Group,Net Positivity,CQ32023,1.26,3,2023,2023-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32023,,3,2023,2023-09-30
+CB,Chubb Limited,Net Positivity,CQ32023,-0.05,3,2023,2023-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32023,0.11,3,2023,2023-09-30
+C,Citigroup,Net Positivity,CQ32023,0.5,3,2023,2023-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32023,1.22,3,2023,2023-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32023,0.31,3,2023,2023-09-30
+FISV,Fiserv,Net Positivity,CQ32023,1.89,3,2023,2023-09-30
+GS,Goldman Sachs,Net Positivity,CQ32023,1.02,3,2023,2023-09-30
+HIG,Hartford Financial,Net Positivity,CQ32023,0.83,3,2023,2023-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32023,1.19,3,2023,2023-09-30
+IVZ,Invesco,Net Positivity,CQ32023,1.31,3,2023,2023-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32023,-0.07,3,2023,2023-09-30
+KEY,KeyCorp,Net Positivity,CQ32023,0.19,3,2023,2023-09-30
+MA,Mastercard,Net Positivity,CQ32023,1.26,3,2023,2023-09-30
+MET,MetLife,Net Positivity,CQ32023,0.9,3,2023,2023-09-30
+MS,Morgan Stanley,Net Positivity,CQ32023,0.61,3,2023,2023-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32023,0.99,3,2023,2023-09-30
+NTRS,Northern Trust,Net Positivity,CQ32023,0.8,3,2023,2023-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32023,-0.17,3,2023,2023-09-30
+PRU,Prudential Financial,Net Positivity,CQ32023,2.21,3,2023,2023-09-30
+RF,Regions Financial,Net Positivity,CQ32023,0.41,3,2023,2023-09-30
+SPGI,S&P Global,Net Positivity,CQ32023,1.21,3,2023,2023-09-30
+STT,State Street,Net Positivity,CQ32023,0.59,3,2023,2023-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32023,1.32,3,2023,2023-09-30
+TRV,Travelers Companies,Net Positivity,CQ32023,0.51,3,2023,2023-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32023,0.49,3,2023,2023-09-30
+V,Visa,Net Positivity,CQ32023,0.82,3,2023,2023-09-30
+WFC,Wells Fargo,Net Positivity,CQ32023,-0.04,3,2023,2023-09-30
+ABBV,AbbVie,Net Positivity,CQ32023,1.3,3,2023,2023-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32023,1.7,3,2023,2023-09-30
+A,Agilent Technologies,Net Positivity,CQ32023,0.12,3,2023,2023-09-30
+AMGN,Amgen,Net Positivity,CQ32023,1.49,3,2023,2023-09-30
+BAX,Baxter International,Net Positivity,CQ32023,1.09,3,2023,2023-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32023,1.68,3,2023,2023-09-30
+BIIB,Biogen,Net Positivity,CQ32023,0.54,3,2023,2023-09-30
+BSX,Boston Scientific,Net Positivity,CQ32023,1.7,3,2023,2023-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32023,1.42,3,2023,2023-09-30
+CVS,CVS Health,Net Positivity,CQ32023,1.23,3,2023,2023-09-30
+COR,Cencora,Net Positivity,CQ32023,,3,2023,2023-09-30
+CI,Cigna,Net Positivity,CQ32023,1.74,3,2023,2023-09-30
+DVA,DaVita,Net Positivity,CQ32023,0.85,3,2023,2023-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32023,0.91,3,2023,2023-09-30
+LLY,Eli Lilly,Net Positivity,CQ32023,0.64,3,2023,2023-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32023,1.62,3,2023,2023-09-30
+HUM,Humana,Net Positivity,CQ32023,2.11,3,2023,2023-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32023,0.89,3,2023,2023-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32023,1.32,3,2023,2023-09-30
+LH,Labcorp,Net Positivity,CQ32023,1.56,3,2023,2023-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32023,1.44,3,2023,2023-09-30
+MDT,Medtronic,Net Positivity,CQ32023,1.68,3,2023,2023-09-30
+MRK,Merck & Co.,Net Positivity,CQ32023,1.67,3,2023,2023-09-30
+PFE,Pfizer,Net Positivity,CQ32023,0.65,3,2023,2023-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32023,1.15,3,2023,2023-09-30
+WAT,Waters Corporation,Net Positivity,CQ32023,0.94,3,2023,2023-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32023,1.72,3,2023,2023-09-30
+MMM,3M,Net Positivity,CQ32023,0.58,3,2023,2023-09-30
+AME,Ametek,Net Positivity,CQ32023,2.36,3,2023,2023-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32023,1.75,3,2023,2023-09-30
+BA,Boeing,Net Positivity,CQ32023,1.47,3,2023,2023-09-30
+CSX,CSX Corporation,Net Positivity,CQ32023,2.07,3,2023,2023-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32023,1.28,3,2023,2023-09-30
+CTAS,Cintas,Net Positivity,CQ32023,1.48,3,2023,2023-09-30
+CMI,Cummins,Net Positivity,CQ32023,1.14,3,2023,2023-09-30
+DE,Deere & Company,Net Positivity,CQ32023,1.05,3,2023,2023-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32023,0.86,3,2023,2023-09-30
+EMR,Emerson Electric,Net Positivity,CQ32023,2.28,3,2023,2023-09-30
+EFX,Equifax,Net Positivity,CQ32023,0.78,3,2023,2023-09-30
+EXPD,Expeditors International,Net Positivity,CQ32023,,3,2023,2023-09-30
+FDX,FedEx,Net Positivity,CQ32023,2.08,3,2023,2023-09-30
+GE,GE Aerospace,Net Positivity,CQ32023,2.28,3,2023,2023-09-30
+GD,General Dynamics,Net Positivity,CQ32023,1.18,3,2023,2023-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32023,1.63,3,2023,2023-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32023,0.85,3,2023,2023-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32023,0.86,3,2023,2023-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32023,1.4,3,2023,2023-09-30
+PCAR,Paccar,Net Positivity,CQ32023,1.92,3,2023,2023-09-30
+RTX,RTX Corporation,Net Positivity,CQ32023,0.42,3,2023,2023-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32023,0.82,3,2023,2023-09-30
+ROP,Roper Technologies,Net Positivity,CQ32023,1.32,3,2023,2023-09-30
+SNA,Snap-on,Net Positivity,CQ32023,0.76,3,2023,2023-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32023,2.15,3,2023,2023-09-30
+UPS,United Parcel Service,Net Positivity,CQ32023,0.81,3,2023,2023-09-30
+WM,Waste Management,Net Positivity,CQ32023,1.19,3,2023,2023-09-30
+ACN,Accenture,Net Positivity,CQ32023,0.89,3,2023,2023-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32023,2.73,3,2023,2023-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32023,1.7,3,2023,2023-09-30
+APH,Amphenol,Net Positivity,CQ32023,1.2,3,2023,2023-09-30
+ADI,Analog Devices,Net Positivity,CQ32023,0.64,3,2023,2023-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32023,1.55,3,2023,2023-09-30
+AMAT,Applied Materials,Net Positivity,CQ32023,1.93,3,2023,2023-09-30
+ADSK,Autodesk,Net Positivity,CQ32023,1.43,3,2023,2023-09-30
+AVGO,Broadcom,Net Positivity,CQ32023,0.26,3,2023,2023-09-30
+CSCO,Cisco,Net Positivity,CQ32023,1.28,3,2023,2023-09-30
+CTSH,Cognizant,Net Positivity,CQ32023,1.57,3,2023,2023-09-30
+HPQ,HP Inc.,Net Positivity,CQ32023,1.48,3,2023,2023-09-30
+IBM,IBM,Net Positivity,CQ32023,1.38,3,2023,2023-09-30
+INTC,Intel,Net Positivity,CQ32023,2.5,3,2023,2023-09-30
+INTU,Intuit,Net Positivity,CQ32023,1.74,3,2023,2023-09-30
+LRCX,Lam Research,Net Positivity,CQ32023,1.36,3,2023,2023-09-30
+MU,Micron Technology,Net Positivity,CQ32023,0.5,3,2023,2023-09-30
+MSFT,Microsoft,Net Positivity,CQ32023,1.02,3,2023,2023-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32023,1.39,3,2023,2023-09-30
+NTAP,NetApp,Net Positivity,CQ32023,1.25,3,2023,2023-09-30
+NVDA,Nvidia,Net Positivity,CQ32023,1.41,3,2023,2023-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32023,0.87,3,2023,2023-09-30
+TXN,Texas Instruments,Net Positivity,CQ32023,0.23,3,2023,2023-09-30
+APD,Air Products,Net Positivity,CQ32023,1.14,3,2023,2023-09-30
+AVY,Avery Dennison,Net Positivity,CQ32023,0.6,3,2023,2023-09-30
+ECL,Ecolab,Net Positivity,CQ32023,2.16,3,2023,2023-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32023,1.71,3,2023,2023-09-30
+IP,International Paper,Net Positivity,CQ32023,0.56,3,2023,2023-09-30
+LIN,Linde plc,Net Positivity,CQ32023,1.0,3,2023,2023-09-30
+NEM,Newmont,Net Positivity,CQ32023,1.0,3,2023,2023-09-30
+NUE,Nucor,Net Positivity,CQ32023,1.11,3,2023,2023-09-30
+AMT,American Tower,Net Positivity,CQ32023,0.78,3,2023,2023-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32023,0.12,3,2023,2023-09-30
+EQR,Equity Residential,Net Positivity,CQ32023,0.91,3,2023,2023-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32023,1.06,3,2023,2023-09-30
+IRM,Iron Mountain,Net Positivity,CQ32023,1.42,3,2023,2023-09-30
+PLD,Prologis,Net Positivity,CQ32023,0.03,3,2023,2023-09-30
+VTR,Ventas,Net Positivity,CQ32023,1.98,3,2023,2023-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32023,0.74,3,2023,2023-09-30
+AES,AES Corporation,Net Positivity,CQ32023,1.16,3,2023,2023-09-30
+AEE,Ameren,Net Positivity,CQ32023,1.02,3,2023,2023-09-30
+AEP,American Electric Power,Net Positivity,CQ32023,0.79,3,2023,2023-09-30
+CMS,CMS Energy,Net Positivity,CQ32023,1.0,3,2023,2023-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32023,1.69,3,2023,2023-09-30
+DUK,Duke Energy,Net Positivity,CQ32023,0.97,3,2023,2023-09-30
+EIX,Edison International,Net Positivity,CQ32023,0.67,3,2023,2023-09-30
+ETR,Entergy,Net Positivity,CQ32023,1.18,3,2023,2023-09-30
+EXC,Exelon,Net Positivity,CQ32023,0.91,3,2023,2023-09-30
+NEE,NextEra Energy,Net Positivity,CQ32023,1.11,3,2023,2023-09-30
+SO,Southern Company,Net Positivity,CQ32023,1.11,3,2023,2023-09-30
+XEL,Xcel Energy,Net Positivity,CQ32023,0.52,3,2023,2023-09-30
+T,AT&T,Numeric Transeprency,CQ32023,1.89,3,2023,2023-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32023,1.53,3,2023,2023-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32023,,3,2023,2023-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32023,1.62,3,2023,2023-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32023,0.79,3,2023,2023-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32023,3.54,3,2023,2023-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32023,2.28,3,2023,2023-09-30
+VZ,Verizon,Numeric Transeprency,CQ32023,1.6,3,2023,2023-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32023,1.25,3,2023,2023-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32023,2.77,3,2023,2023-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32023,1.53,3,2023,2023-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32023,1.69,3,2023,2023-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32023,1.78,3,2023,2023-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32023,1.58,3,2023,2023-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32023,1.74,3,2023,2023-09-30
+GM,General Motors,Numeric Transeprency,CQ32023,1.95,3,2023,2023-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32023,2.34,3,2023,2023-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32023,2.58,3,2023,2023-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32023,1.65,3,2023,2023-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32023,0.98,3,2023,2023-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32023,1.33,3,2023,2023-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32023,1.63,3,2023,2023-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32023,1.86,3,2023,2023-09-30
+TGT,Target,Numeric Transeprency,CQ32023,1.3,3,2023,2023-09-30
+MO,Altria,Numeric Transeprency,CQ32023,1.97,3,2023,2023-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32023,1.48,3,2023,2023-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32023,1.65,3,2023,2023-09-30
+CLX,Clorox,Numeric Transeprency,CQ32023,1.51,3,2023,2023-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32023,1.08,3,2023,2023-09-30
+COST,Costco,Numeric Transeprency,CQ32023,3.23,3,2023,2023-09-30
+GIS,General Mills,Numeric Transeprency,CQ32023,0.9,3,2023,2023-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32023,0.59,3,2023,2023-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32023,1.43,3,2023,2023-09-30
+KR,Kroger,Numeric Transeprency,CQ32023,1.4,3,2023,2023-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32023,,3,2023,2023-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32023,0.8,3,2023,2023-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32023,2.38,3,2023,2023-09-30
+SYY,Sysco,Numeric Transeprency,CQ32023,2.44,3,2023,2023-09-30
+WMT,Walmart,Numeric Transeprency,CQ32023,1.23,3,2023,2023-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32023,2.36,3,2023,2023-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32023,,3,2023,2023-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32023,2.52,3,2023,2023-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32023,1.77,3,2023,2023-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32023,1.23,3,2023,2023-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32023,2.1,3,2023,2023-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32023,1.66,3,2023,2023-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32023,2.05,3,2023,2023-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32023,2.14,3,2023,2023-09-30
+AFL,Aflac,Numeric Transeprency,CQ32023,0.91,3,2023,2023-09-30
+ALL,Allstate,Numeric Transeprency,CQ32023,2.8,3,2023,2023-09-30
+AXP,American Express,Numeric Transeprency,CQ32023,2.26,3,2023,2023-09-30
+AIG,American International Group,Numeric Transeprency,CQ32023,3.8,3,2023,2023-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32023,2.02,3,2023,2023-09-30
+AON,Aon plc,Numeric Transeprency,CQ32023,1.45,3,2023,2023-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32023,1.93,3,2023,2023-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32023,3.32,3,2023,2023-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32023,,3,2023,2023-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32023,1.82,3,2023,2023-09-30
+CME,CME Group,Numeric Transeprency,CQ32023,1.62,3,2023,2023-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32023,,3,2023,2023-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32023,2.55,3,2023,2023-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32023,2.75,3,2023,2023-09-30
+C,Citigroup,Numeric Transeprency,CQ32023,2.5,3,2023,2023-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32023,2.2,3,2023,2023-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32023,2.72,3,2023,2023-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32023,2.89,3,2023,2023-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32023,1.98,3,2023,2023-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32023,2.34,3,2023,2023-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32023,1.68,3,2023,2023-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32023,2.19,3,2023,2023-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32023,2.31,3,2023,2023-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32023,3.13,3,2023,2023-09-30
+MA,Mastercard,Numeric Transeprency,CQ32023,1.55,3,2023,2023-09-30
+MET,MetLife,Numeric Transeprency,CQ32023,3.09,3,2023,2023-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32023,2.09,3,2023,2023-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32023,2.86,3,2023,2023-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32023,2.49,3,2023,2023-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32023,3.73,3,2023,2023-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32023,1.56,3,2023,2023-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32023,2.69,3,2023,2023-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32023,1.74,3,2023,2023-09-30
+STT,State Street,Numeric Transeprency,CQ32023,2.27,3,2023,2023-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32023,1.46,3,2023,2023-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32023,2.0,3,2023,2023-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32023,3.01,3,2023,2023-09-30
+V,Visa,Numeric Transeprency,CQ32023,2.7,3,2023,2023-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32023,1.49,3,2023,2023-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32023,2.2,3,2023,2023-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32023,1.48,3,2023,2023-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32023,1.7,3,2023,2023-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32023,2.26,3,2023,2023-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32023,2.23,3,2023,2023-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32023,2.18,3,2023,2023-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32023,1.25,3,2023,2023-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32023,3.05,3,2023,2023-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32023,2.36,3,2023,2023-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32023,2.81,3,2023,2023-09-30
+COR,Cencora,Numeric Transeprency,CQ32023,,3,2023,2023-09-30
+CI,Cigna,Numeric Transeprency,CQ32023,2.35,3,2023,2023-09-30
+DVA,DaVita,Numeric Transeprency,CQ32023,1.16,3,2023,2023-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32023,1.74,3,2023,2023-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32023,2.47,3,2023,2023-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32023,2.67,3,2023,2023-09-30
+HUM,Humana,Numeric Transeprency,CQ32023,3.0,3,2023,2023-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32023,2.47,3,2023,2023-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32023,2.85,3,2023,2023-09-30
+LH,Labcorp,Numeric Transeprency,CQ32023,2.77,3,2023,2023-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32023,2.56,3,2023,2023-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32023,1.36,3,2023,2023-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32023,1.5,3,2023,2023-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32023,1.7,3,2023,2023-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32023,2.42,3,2023,2023-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32023,2.49,3,2023,2023-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32023,1.55,3,2023,2023-09-30
+MMM,3M,Numeric Transeprency,CQ32023,2.51,3,2023,2023-09-30
+AME,Ametek,Numeric Transeprency,CQ32023,2.48,3,2023,2023-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32023,1.94,3,2023,2023-09-30
+BA,Boeing,Numeric Transeprency,CQ32023,3.21,3,2023,2023-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32023,1.41,3,2023,2023-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32023,2.2,3,2023,2023-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32023,1.72,3,2023,2023-09-30
+CMI,Cummins,Numeric Transeprency,CQ32023,3.76,3,2023,2023-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32023,2.08,3,2023,2023-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32023,2.39,3,2023,2023-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32023,2.45,3,2023,2023-09-30
+EFX,Equifax,Numeric Transeprency,CQ32023,3.54,3,2023,2023-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32023,,3,2023,2023-09-30
+FDX,FedEx,Numeric Transeprency,CQ32023,1.78,3,2023,2023-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32023,1.91,3,2023,2023-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32023,2.95,3,2023,2023-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32023,4.1,3,2023,2023-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32023,2.53,3,2023,2023-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32023,1.43,3,2023,2023-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32023,2.11,3,2023,2023-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32023,1.79,3,2023,2023-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32023,2.63,3,2023,2023-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32023,2.79,3,2023,2023-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32023,1.98,3,2023,2023-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32023,3.3,3,2023,2023-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32023,2.16,3,2023,2023-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32023,2.78,3,2023,2023-09-30
+WM,Waste Management,Numeric Transeprency,CQ32023,2.57,3,2023,2023-09-30
+ACN,Accenture,Numeric Transeprency,CQ32023,2.93,3,2023,2023-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32023,1.54,3,2023,2023-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32023,2.3,3,2023,2023-09-30
+APH,Amphenol,Numeric Transeprency,CQ32023,2.35,3,2023,2023-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32023,2.4,3,2023,2023-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32023,1.91,3,2023,2023-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32023,2.38,3,2023,2023-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32023,0.95,3,2023,2023-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32023,2.97,3,2023,2023-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32023,2.76,3,2023,2023-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32023,2.01,3,2023,2023-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32023,1.93,3,2023,2023-09-30
+IBM,IBM,Numeric Transeprency,CQ32023,2.29,3,2023,2023-09-30
+INTC,Intel,Numeric Transeprency,CQ32023,1.79,3,2023,2023-09-30
+INTU,Intuit,Numeric Transeprency,CQ32023,2.34,3,2023,2023-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32023,1.8,3,2023,2023-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32023,1.94,3,2023,2023-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32023,3.11,3,2023,2023-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32023,2.93,3,2023,2023-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32023,1.58,3,2023,2023-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32023,1.7,3,2023,2023-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32023,2.8,3,2023,2023-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32023,2.06,3,2023,2023-09-30
+APD,Air Products,Numeric Transeprency,CQ32023,2.39,3,2023,2023-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32023,1.63,3,2023,2023-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32023,1.32,3,2023,2023-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32023,2.2,3,2023,2023-09-30
+IP,International Paper,Numeric Transeprency,CQ32023,1.26,3,2023,2023-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32023,1.97,3,2023,2023-09-30
+NEM,Newmont,Numeric Transeprency,CQ32023,1.39,3,2023,2023-09-30
+NUE,Nucor,Numeric Transeprency,CQ32023,1.5,3,2023,2023-09-30
+AMT,American Tower,Numeric Transeprency,CQ32023,2.39,3,2023,2023-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32023,2.35,3,2023,2023-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32023,1.57,3,2023,2023-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32023,2.35,3,2023,2023-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32023,1.71,3,2023,2023-09-30
+PLD,Prologis,Numeric Transeprency,CQ32023,2.69,3,2023,2023-09-30
+VTR,Ventas,Numeric Transeprency,CQ32023,2.8,3,2023,2023-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32023,1.6,3,2023,2023-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32023,2.28,3,2023,2023-09-30
+AEE,Ameren,Numeric Transeprency,CQ32023,3.39,3,2023,2023-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32023,2.56,3,2023,2023-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32023,2.09,3,2023,2023-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32023,2.64,3,2023,2023-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32023,2.55,3,2023,2023-09-30
+EIX,Edison International,Numeric Transeprency,CQ32023,3.88,3,2023,2023-09-30
+ETR,Entergy,Numeric Transeprency,CQ32023,1.52,3,2023,2023-09-30
+EXC,Exelon,Numeric Transeprency,CQ32023,2.88,3,2023,2023-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32023,2.9,3,2023,2023-09-30
+SO,Southern Company,Numeric Transeprency,CQ32023,1.89,3,2023,2023-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32023,2.04,3,2023,2023-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32023,34.78,3,2023,2023-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32023,12.77,3,2023,2023-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32023,,3,2023,2023-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32023,12.5,3,2023,2023-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32023,2.38,3,2023,2023-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32023,60.0,3,2023,2023-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32023,46.15,3,2023,2023-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32023,43.48,3,2023,2023-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32023,8.16,3,2023,2023-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32023,27.27,3,2023,2023-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32023,25.0,3,2023,2023-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32023,35.71,3,2023,2023-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32023,28.57,3,2023,2023-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32023,72.0,3,2023,2023-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32023,30.0,3,2023,2023-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32023,47.37,3,2023,2023-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32023,46.15,3,2023,2023-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32023,40.0,3,2023,2023-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32023,23.53,3,2023,2023-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32023,26.67,3,2023,2023-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32023,16.67,3,2023,2023-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32023,47.37,3,2023,2023-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32023,25.0,3,2023,2023-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32023,14.29,3,2023,2023-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32023,35.71,3,2023,2023-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32023,50.0,3,2023,2023-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32023,31.25,3,2023,2023-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32023,56.25,3,2023,2023-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32023,38.1,3,2023,2023-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32023,35.48,3,2023,2023-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32023,29.41,3,2023,2023-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32023,70.59,3,2023,2023-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32023,53.33,3,2023,2023-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32023,45.45,3,2023,2023-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32023,,3,2023,2023-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32023,47.37,3,2023,2023-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32023,55.0,3,2023,2023-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32023,29.41,3,2023,2023-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32023,26.83,3,2023,2023-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32023,38.1,3,2023,2023-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32023,,3,2023,2023-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32023,37.5,3,2023,2023-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32023,30.77,3,2023,2023-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32023,45.45,3,2023,2023-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32023,30.77,3,2023,2023-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32023,34.78,3,2023,2023-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32023,30.77,3,2023,2023-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32023,50.0,3,2023,2023-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32023,38.46,3,2023,2023-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32023,27.78,3,2023,2023-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32023,37.5,3,2023,2023-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32023,20.0,3,2023,2023-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32023,50.0,3,2023,2023-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32023,38.89,3,2023,2023-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32023,50.0,3,2023,2023-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32023,30.43,3,2023,2023-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32023,,3,2023,2023-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32023,33.33,3,2023,2023-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32023,62.5,3,2023,2023-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32023,,3,2023,2023-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32023,38.1,3,2023,2023-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32023,83.33,3,2023,2023-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32023,45.45,3,2023,2023-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32023,33.33,3,2023,2023-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32023,28.57,3,2023,2023-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32023,24.14,3,2023,2023-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32023,41.67,3,2023,2023-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32023,47.06,3,2023,2023-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32023,33.33,3,2023,2023-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32023,42.86,3,2023,2023-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32023,39.13,3,2023,2023-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32023,45.0,3,2023,2023-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32023,27.27,3,2023,2023-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32023,40.0,3,2023,2023-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32023,33.33,3,2023,2023-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32023,41.18,3,2023,2023-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32023,42.86,3,2023,2023-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32023,31.82,3,2023,2023-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32023,42.86,3,2023,2023-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32023,26.92,3,2023,2023-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32023,59.09,3,2023,2023-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32023,23.53,3,2023,2023-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32023,63.64,3,2023,2023-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32023,38.1,3,2023,2023-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32023,34.78,3,2023,2023-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32023,29.41,3,2023,2023-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32023,36.0,3,2023,2023-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32023,42.31,3,2023,2023-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32023,31.58,3,2023,2023-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32023,58.82,3,2023,2023-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32023,42.86,3,2023,2023-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32023,23.08,3,2023,2023-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32023,25.0,3,2023,2023-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32023,33.33,3,2023,2023-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32023,32.0,3,2023,2023-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32023,56.0,3,2023,2023-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32023,8.7,3,2023,2023-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32023,,3,2023,2023-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32023,33.33,3,2023,2023-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32023,14.29,3,2023,2023-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32023,35.0,3,2023,2023-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32023,63.64,3,2023,2023-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32023,38.46,3,2023,2023-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32023,40.0,3,2023,2023-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32023,31.82,3,2023,2023-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32023,35.0,3,2023,2023-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32023,25.0,3,2023,2023-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32023,35.71,3,2023,2023-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32023,20.0,3,2023,2023-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32023,40.0,3,2023,2023-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32023,63.64,3,2023,2023-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32023,23.08,3,2023,2023-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32023,37.5,3,2023,2023-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32023,47.83,3,2023,2023-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32023,37.5,3,2023,2023-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32023,31.25,3,2023,2023-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32023,35.29,3,2023,2023-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32023,47.62,3,2023,2023-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32023,44.44,3,2023,2023-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32023,54.17,3,2023,2023-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32023,56.25,3,2023,2023-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32023,42.86,3,2023,2023-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32023,37.5,3,2023,2023-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32023,42.11,3,2023,2023-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32023,36.84,3,2023,2023-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32023,65.0,3,2023,2023-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32023,,3,2023,2023-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32023,48.28,3,2023,2023-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32023,44.44,3,2023,2023-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32023,50.0,3,2023,2023-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32023,30.0,3,2023,2023-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32023,58.82,3,2023,2023-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32023,55.56,3,2023,2023-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32023,56.25,3,2023,2023-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32023,52.94,3,2023,2023-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32023,52.63,3,2023,2023-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32023,31.82,3,2023,2023-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32023,40.0,3,2023,2023-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32023,55.56,3,2023,2023-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32023,29.41,3,2023,2023-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32023,40.74,3,2023,2023-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32023,55.0,3,2023,2023-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32023,25.0,3,2023,2023-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32023,30.0,3,2023,2023-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32023,33.33,3,2023,2023-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32023,53.85,3,2023,2023-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32023,26.92,3,2023,2023-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32023,22.5,3,2023,2023-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32023,38.46,3,2023,2023-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32023,34.48,3,2023,2023-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32023,34.62,3,2023,2023-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32023,36.0,3,2023,2023-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32023,15.38,3,2023,2023-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32023,37.5,3,2023,2023-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32023,40.0,3,2023,2023-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32023,13.51,3,2023,2023-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32023,37.5,3,2023,2023-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32023,52.38,3,2023,2023-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32023,15.79,3,2023,2023-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32023,11.11,3,2023,2023-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32023,66.67,3,2023,2023-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32023,42.11,3,2023,2023-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32023,12.24,3,2023,2023-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32023,19.23,3,2023,2023-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32023,21.43,3,2023,2023-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32023,35.29,3,2023,2023-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32023,60.0,3,2023,2023-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32023,66.67,3,2023,2023-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32023,27.78,3,2023,2023-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32023,60.0,3,2023,2023-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32023,43.48,3,2023,2023-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32023,25.0,3,2023,2023-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32023,53.85,3,2023,2023-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32023,53.85,3,2023,2023-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32023,42.86,3,2023,2023-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32023,25.0,3,2023,2023-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32023,57.14,3,2023,2023-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32023,83.33,3,2023,2023-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32023,66.67,3,2023,2023-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32023,37.5,3,2023,2023-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32023,72.73,3,2023,2023-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32023,54.55,3,2023,2023-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32023,23.08,3,2023,2023-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32023,36.84,3,2023,2023-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32023,6.25,3,2023,2023-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32023,40.0,3,2023,2023-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32023,29.41,3,2023,2023-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32023,33.33,3,2023,2023-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32023,18.75,3,2023,2023-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32023,23.53,3,2023,2023-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32023,26.32,3,2023,2023-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32023,43.75,3,2023,2023-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32023,46.67,3,2023,2023-09-30
+T,AT&T,Language Complexity,CQ32023,12.07,3,2023,2023-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32023,12.53,3,2023,2023-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32023,,3,2023,2023-09-30
+META,Meta Platforms,Language Complexity,CQ32023,12.25,3,2023,2023-09-30
+NFLX,Netflix,Language Complexity,CQ32023,11.49,3,2023,2023-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32023,14.49,3,2023,2023-09-30
+OMC,Omnicom Group,Language Complexity,CQ32023,12.93,3,2023,2023-09-30
+VZ,Verizon,Language Complexity,CQ32023,11.42,3,2023,2023-09-30
+AMZN,Amazon,Language Complexity,CQ32023,14.06,3,2023,2023-09-30
+AZO,AutoZone,Language Complexity,CQ32023,12.05,3,2023,2023-09-30
+BBY,Best Buy,Language Complexity,CQ32023,14.03,3,2023,2023-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32023,12.15,3,2023,2023-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32023,12.19,3,2023,2023-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32023,11.02,3,2023,2023-09-30
+F,Ford Motor Company,Language Complexity,CQ32023,11.96,3,2023,2023-09-30
+GM,General Motors,Language Complexity,CQ32023,12.21,3,2023,2023-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32023,12.13,3,2023,2023-09-30
+HAS,Hasbro,Language Complexity,CQ32023,12.49,3,2023,2023-09-30
+LOW,Lowe's,Language Complexity,CQ32023,13.85,3,2023,2023-09-30
+MCD,McDonald's,Language Complexity,CQ32023,13.86,3,2023,2023-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32023,13.08,3,2023,2023-09-30
+ROST,Ross Stores,Language Complexity,CQ32023,10.73,3,2023,2023-09-30
+TJX,TJX Companies,Language Complexity,CQ32023,11.99,3,2023,2023-09-30
+TGT,Target,Language Complexity,CQ32023,14.65,3,2023,2023-09-30
+MO,Altria,Language Complexity,CQ32023,13.18,3,2023,2023-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32023,12.96,3,2023,2023-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32023,12.34,3,2023,2023-09-30
+CLX,Clorox,Language Complexity,CQ32023,11.34,3,2023,2023-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32023,12.98,3,2023,2023-09-30
+COST,Costco,Language Complexity,CQ32023,9.65,3,2023,2023-09-30
+GIS,General Mills,Language Complexity,CQ32023,10.02,3,2023,2023-09-30
+HSY,Hershey Company,Language Complexity,CQ32023,10.38,3,2023,2023-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32023,11.58,3,2023,2023-09-30
+KR,Kroger,Language Complexity,CQ32023,13.45,3,2023,2023-09-30
+MKC,McCormick & Company,Language Complexity,CQ32023,,3,2023,2023-09-30
+PEP,PepsiCo,Language Complexity,CQ32023,10.85,3,2023,2023-09-30
+PG,Procter & Gamble,Language Complexity,CQ32023,12.58,3,2023,2023-09-30
+SYY,Sysco,Language Complexity,CQ32023,12.87,3,2023,2023-09-30
+WMT,Walmart,Language Complexity,CQ32023,11.64,3,2023,2023-09-30
+APA,APA Corporation,Language Complexity,CQ32023,10.78,3,2023,2023-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32023,,3,2023,2023-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32023,10.6,3,2023,2023-09-30
+EOG,EOG Resources,Language Complexity,CQ32023,13.38,3,2023,2023-09-30
+XOM,ExxonMobil,Language Complexity,CQ32023,13.08,3,2023,2023-09-30
+HAL,Halliburton,Language Complexity,CQ32023,12.13,3,2023,2023-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32023,12.86,3,2023,2023-09-30
+SLB,Schlumberger,Language Complexity,CQ32023,15.24,3,2023,2023-09-30
+VLO,Valero Energy,Language Complexity,CQ32023,11.14,3,2023,2023-09-30
+AFL,Aflac,Language Complexity,CQ32023,12.55,3,2023,2023-09-30
+ALL,Allstate,Language Complexity,CQ32023,14.56,3,2023,2023-09-30
+AXP,American Express,Language Complexity,CQ32023,11.82,3,2023,2023-09-30
+AIG,American International Group,Language Complexity,CQ32023,13.68,3,2023,2023-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32023,12.11,3,2023,2023-09-30
+AON,Aon plc,Language Complexity,CQ32023,13.39,3,2023,2023-09-30
+BK,BNY Mellon,Language Complexity,CQ32023,12.57,3,2023,2023-09-30
+BAC,Bank of America,Language Complexity,CQ32023,12.03,3,2023,2023-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32023,,3,2023,2023-09-30
+BLK,BlackRock,Language Complexity,CQ32023,14.76,3,2023,2023-09-30
+CME,CME Group,Language Complexity,CQ32023,11.15,3,2023,2023-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32023,,3,2023,2023-09-30
+CB,Chubb Limited,Language Complexity,CQ32023,11.64,3,2023,2023-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32023,12.4,3,2023,2023-09-30
+C,Citigroup,Language Complexity,CQ32023,12.73,3,2023,2023-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32023,12.33,3,2023,2023-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32023,13.41,3,2023,2023-09-30
+FISV,Fiserv,Language Complexity,CQ32023,12.57,3,2023,2023-09-30
+GS,Goldman Sachs,Language Complexity,CQ32023,12.33,3,2023,2023-09-30
+HIG,Hartford Financial,Language Complexity,CQ32023,12.81,3,2023,2023-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32023,13.82,3,2023,2023-09-30
+IVZ,Invesco,Language Complexity,CQ32023,13.34,3,2023,2023-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32023,11.12,3,2023,2023-09-30
+KEY,KeyCorp,Language Complexity,CQ32023,11.19,3,2023,2023-09-30
+MA,Mastercard,Language Complexity,CQ32023,11.84,3,2023,2023-09-30
+MET,MetLife,Language Complexity,CQ32023,12.78,3,2023,2023-09-30
+MS,Morgan Stanley,Language Complexity,CQ32023,11.57,3,2023,2023-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32023,14.13,3,2023,2023-09-30
+NTRS,Northern Trust,Language Complexity,CQ32023,11.04,3,2023,2023-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32023,11.09,3,2023,2023-09-30
+PRU,Prudential Financial,Language Complexity,CQ32023,14.07,3,2023,2023-09-30
+RF,Regions Financial,Language Complexity,CQ32023,11.42,3,2023,2023-09-30
+SPGI,S&P Global,Language Complexity,CQ32023,12.91,3,2023,2023-09-30
+STT,State Street,Language Complexity,CQ32023,13.47,3,2023,2023-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32023,13.2,3,2023,2023-09-30
+TRV,Travelers Companies,Language Complexity,CQ32023,13.09,3,2023,2023-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32023,11.95,3,2023,2023-09-30
+V,Visa,Language Complexity,CQ32023,11.37,3,2023,2023-09-30
+WFC,Wells Fargo,Language Complexity,CQ32023,12.3,3,2023,2023-09-30
+ABBV,AbbVie,Language Complexity,CQ32023,12.27,3,2023,2023-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32023,10.99,3,2023,2023-09-30
+A,Agilent Technologies,Language Complexity,CQ32023,10.56,3,2023,2023-09-30
+AMGN,Amgen,Language Complexity,CQ32023,13.34,3,2023,2023-09-30
+BAX,Baxter International,Language Complexity,CQ32023,14.02,3,2023,2023-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32023,13.68,3,2023,2023-09-30
+BIIB,Biogen,Language Complexity,CQ32023,11.97,3,2023,2023-09-30
+BSX,Boston Scientific,Language Complexity,CQ32023,12.34,3,2023,2023-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32023,12.02,3,2023,2023-09-30
+CVS,CVS Health,Language Complexity,CQ32023,13.98,3,2023,2023-09-30
+COR,Cencora,Language Complexity,CQ32023,,3,2023,2023-09-30
+CI,Cigna,Language Complexity,CQ32023,14.56,3,2023,2023-09-30
+DVA,DaVita,Language Complexity,CQ32023,11.21,3,2023,2023-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32023,12.45,3,2023,2023-09-30
+LLY,Eli Lilly,Language Complexity,CQ32023,12.98,3,2023,2023-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32023,13.11,3,2023,2023-09-30
+HUM,Humana,Language Complexity,CQ32023,15.96,3,2023,2023-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32023,13.41,3,2023,2023-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32023,14.11,3,2023,2023-09-30
+LH,Labcorp,Language Complexity,CQ32023,12.72,3,2023,2023-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32023,14.93,3,2023,2023-09-30
+MDT,Medtronic,Language Complexity,CQ32023,11.64,3,2023,2023-09-30
+MRK,Merck & Co.,Language Complexity,CQ32023,12.68,3,2023,2023-09-30
+PFE,Pfizer,Language Complexity,CQ32023,12.55,3,2023,2023-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32023,13.41,3,2023,2023-09-30
+WAT,Waters Corporation,Language Complexity,CQ32023,12.04,3,2023,2023-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32023,10.83,3,2023,2023-09-30
+MMM,3M,Language Complexity,CQ32023,12.26,3,2023,2023-09-30
+AME,Ametek,Language Complexity,CQ32023,12.83,3,2023,2023-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32023,12.28,3,2023,2023-09-30
+BA,Boeing,Language Complexity,CQ32023,9.98,3,2023,2023-09-30
+CSX,CSX Corporation,Language Complexity,CQ32023,11.85,3,2023,2023-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32023,11.94,3,2023,2023-09-30
+CTAS,Cintas,Language Complexity,CQ32023,10.29,3,2023,2023-09-30
+CMI,Cummins,Language Complexity,CQ32023,11.83,3,2023,2023-09-30
+DE,Deere & Company,Language Complexity,CQ32023,12.5,3,2023,2023-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32023,11.59,3,2023,2023-09-30
+EMR,Emerson Electric,Language Complexity,CQ32023,13.19,3,2023,2023-09-30
+EFX,Equifax,Language Complexity,CQ32023,13.03,3,2023,2023-09-30
+EXPD,Expeditors International,Language Complexity,CQ32023,,3,2023,2023-09-30
+FDX,FedEx,Language Complexity,CQ32023,12.03,3,2023,2023-09-30
+GE,GE Aerospace,Language Complexity,CQ32023,11.45,3,2023,2023-09-30
+GD,General Dynamics,Language Complexity,CQ32023,10.68,3,2023,2023-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32023,12.02,3,2023,2023-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32023,12.73,3,2023,2023-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32023,11.9,3,2023,2023-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32023,12.05,3,2023,2023-09-30
+PCAR,Paccar,Language Complexity,CQ32023,10.89,3,2023,2023-09-30
+RTX,RTX Corporation,Language Complexity,CQ32023,11.27,3,2023,2023-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32023,12.08,3,2023,2023-09-30
+ROP,Roper Technologies,Language Complexity,CQ32023,11.04,3,2023,2023-09-30
+SNA,Snap-on,Language Complexity,CQ32023,11.99,3,2023,2023-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32023,14.02,3,2023,2023-09-30
+UPS,United Parcel Service,Language Complexity,CQ32023,10.87,3,2023,2023-09-30
+WM,Waste Management,Language Complexity,CQ32023,11.3,3,2023,2023-09-30
+ACN,Accenture,Language Complexity,CQ32023,12.52,3,2023,2023-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32023,14.93,3,2023,2023-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32023,12.04,3,2023,2023-09-30
+APH,Amphenol,Language Complexity,CQ32023,13.85,3,2023,2023-09-30
+ADI,Analog Devices,Language Complexity,CQ32023,11.63,3,2023,2023-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32023,12.08,3,2023,2023-09-30
+AMAT,Applied Materials,Language Complexity,CQ32023,12.1,3,2023,2023-09-30
+ADSK,Autodesk,Language Complexity,CQ32023,12.62,3,2023,2023-09-30
+AVGO,Broadcom,Language Complexity,CQ32023,11.79,3,2023,2023-09-30
+CSCO,Cisco,Language Complexity,CQ32023,11.07,3,2023,2023-09-30
+CTSH,Cognizant,Language Complexity,CQ32023,13.73,3,2023,2023-09-30
+HPQ,HP Inc.,Language Complexity,CQ32023,12.85,3,2023,2023-09-30
+IBM,IBM,Language Complexity,CQ32023,12.15,3,2023,2023-09-30
+INTC,Intel,Language Complexity,CQ32023,13.22,3,2023,2023-09-30
+INTU,Intuit,Language Complexity,CQ32023,12.18,3,2023,2023-09-30
+LRCX,Lam Research,Language Complexity,CQ32023,11.87,3,2023,2023-09-30
+MU,Micron Technology,Language Complexity,CQ32023,11.0,3,2023,2023-09-30
+MSFT,Microsoft,Language Complexity,CQ32023,13.44,3,2023,2023-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32023,11.88,3,2023,2023-09-30
+NTAP,NetApp,Language Complexity,CQ32023,12.12,3,2023,2023-09-30
+NVDA,Nvidia,Language Complexity,CQ32023,13.06,3,2023,2023-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32023,12.05,3,2023,2023-09-30
+TXN,Texas Instruments,Language Complexity,CQ32023,10.18,3,2023,2023-09-30
+APD,Air Products,Language Complexity,CQ32023,11.49,3,2023,2023-09-30
+AVY,Avery Dennison,Language Complexity,CQ32023,13.24,3,2023,2023-09-30
+ECL,Ecolab,Language Complexity,CQ32023,11.44,3,2023,2023-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32023,13.73,3,2023,2023-09-30
+IP,International Paper,Language Complexity,CQ32023,12.17,3,2023,2023-09-30
+LIN,Linde plc,Language Complexity,CQ32023,11.73,3,2023,2023-09-30
+NEM,Newmont,Language Complexity,CQ32023,12.39,3,2023,2023-09-30
+NUE,Nucor,Language Complexity,CQ32023,11.9,3,2023,2023-09-30
+AMT,American Tower,Language Complexity,CQ32023,13.87,3,2023,2023-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32023,11.74,3,2023,2023-09-30
+EQR,Equity Residential,Language Complexity,CQ32023,12.16,3,2023,2023-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32023,10.91,3,2023,2023-09-30
+IRM,Iron Mountain,Language Complexity,CQ32023,13.39,3,2023,2023-09-30
+PLD,Prologis,Language Complexity,CQ32023,10.84,3,2023,2023-09-30
+VTR,Ventas,Language Complexity,CQ32023,12.7,3,2023,2023-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32023,11.58,3,2023,2023-09-30
+AES,AES Corporation,Language Complexity,CQ32023,11.56,3,2023,2023-09-30
+AEE,Ameren,Language Complexity,CQ32023,14.39,3,2023,2023-09-30
+AEP,American Electric Power,Language Complexity,CQ32023,12.9,3,2023,2023-09-30
+CMS,CMS Energy,Language Complexity,CQ32023,13.48,3,2023,2023-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32023,13.76,3,2023,2023-09-30
+DUK,Duke Energy,Language Complexity,CQ32023,13.0,3,2023,2023-09-30
+EIX,Edison International,Language Complexity,CQ32023,13.08,3,2023,2023-09-30
+ETR,Entergy,Language Complexity,CQ32023,13.68,3,2023,2023-09-30
+EXC,Exelon,Language Complexity,CQ32023,14.17,3,2023,2023-09-30
+NEE,NextEra Energy,Language Complexity,CQ32023,14.07,3,2023,2023-09-30
+SO,Southern Company,Language Complexity,CQ32023,11.79,3,2023,2023-09-30
+XEL,Xcel Energy,Language Complexity,CQ32023,13.53,3,2023,2023-09-30
+T,AT&T,Net Positivity,CQ42023,1.43,4,2023,2023-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42023,2.34,4,2023,2023-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42023,,4,2023,2023-12-31
+META,Meta Platforms,Net Positivity,CQ42023,1.74,4,2023,2023-12-31
+NFLX,Netflix,Net Positivity,CQ42023,1.61,4,2023,2023-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42023,1.41,4,2023,2023-12-31
+OMC,Omnicom Group,Net Positivity,CQ42023,0.9,4,2023,2023-12-31
+VZ,Verizon,Net Positivity,CQ42023,1.95,4,2023,2023-12-31
+AMZN,Amazon,Net Positivity,CQ42023,1.79,4,2023,2023-12-31
+AZO,AutoZone,Net Positivity,CQ42023,1.24,4,2023,2023-12-31
+BBY,Best Buy,Net Positivity,CQ42023,1.38,4,2023,2023-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42023,1.71,4,2023,2023-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42023,2.15,4,2023,2023-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42023,1.35,4,2023,2023-12-31
+F,Ford Motor Company,Net Positivity,CQ42023,1.24,4,2023,2023-12-31
+GM,General Motors,Net Positivity,CQ42023,1.77,4,2023,2023-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42023,1.5,4,2023,2023-12-31
+HAS,Hasbro,Net Positivity,CQ42023,0.81,4,2023,2023-12-31
+LOW,Lowe's,Net Positivity,CQ42023,1.52,4,2023,2023-12-31
+MCD,McDonald's,Net Positivity,CQ42023,1.59,4,2023,2023-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42023,2.81,4,2023,2023-12-31
+ROST,Ross Stores,Net Positivity,CQ42023,1.31,4,2023,2023-12-31
+TJX,TJX Companies,Net Positivity,CQ42023,2.17,4,2023,2023-12-31
+TGT,Target,Net Positivity,CQ42023,2.14,4,2023,2023-12-31
+MO,Altria,Net Positivity,CQ42023,0.41,4,2023,2023-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42023,1.48,4,2023,2023-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42023,0.57,4,2023,2023-12-31
+CLX,Clorox,Net Positivity,CQ42023,0.67,4,2023,2023-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42023,1.36,4,2023,2023-12-31
+COST,Costco,Net Positivity,CQ42023,1.12,4,2023,2023-12-31
+GIS,General Mills,Net Positivity,CQ42023,1.04,4,2023,2023-12-31
+HSY,Hershey Company,Net Positivity,CQ42023,1.39,4,2023,2023-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42023,1.34,4,2023,2023-12-31
+KR,Kroger,Net Positivity,CQ42023,1.58,4,2023,2023-12-31
+MKC,McCormick & Company,Net Positivity,CQ42023,1.87,4,2023,2023-12-31
+PEP,PepsiCo,Net Positivity,CQ42023,0.8,4,2023,2023-12-31
+PG,Procter & Gamble,Net Positivity,CQ42023,2.0,4,2023,2023-12-31
+SYY,Sysco,Net Positivity,CQ42023,3.32,4,2023,2023-12-31
+WMT,Walmart,Net Positivity,CQ42023,2.04,4,2023,2023-12-31
+APA,APA Corporation,Net Positivity,CQ42023,0.35,4,2023,2023-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42023,,4,2023,2023-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42023,0.91,4,2023,2023-12-31
+EOG,EOG Resources,Net Positivity,CQ42023,1.98,4,2023,2023-12-31
+XOM,ExxonMobil,Net Positivity,CQ42023,1.41,4,2023,2023-12-31
+HAL,Halliburton,Net Positivity,CQ42023,1.76,4,2023,2023-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42023,1.62,4,2023,2023-12-31
+SLB,Schlumberger,Net Positivity,CQ42023,1.93,4,2023,2023-12-31
+VLO,Valero Energy,Net Positivity,CQ42023,0.68,4,2023,2023-12-31
+AFL,Aflac,Net Positivity,CQ42023,1.07,4,2023,2023-12-31
+ALL,Allstate,Net Positivity,CQ42023,0.34,4,2023,2023-12-31
+AXP,American Express,Net Positivity,CQ42023,1.33,4,2023,2023-12-31
+AIG,American International Group,Net Positivity,CQ42023,0.4,4,2023,2023-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42023,1.79,4,2023,2023-12-31
+AON,Aon plc,Net Positivity,CQ42023,1.72,4,2023,2023-12-31
+BK,BNY Mellon,Net Positivity,CQ42023,1.0,4,2023,2023-12-31
+BAC,Bank of America,Net Positivity,CQ42023,0.6,4,2023,2023-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42023,,4,2023,2023-12-31
+BLK,BlackRock,Net Positivity,CQ42023,1.58,4,2023,2023-12-31
+CME,CME Group,Net Positivity,CQ42023,1.06,4,2023,2023-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42023,,4,2023,2023-12-31
+CB,Chubb Limited,Net Positivity,CQ42023,0.12,4,2023,2023-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42023,0.02,4,2023,2023-12-31
+C,Citigroup,Net Positivity,CQ42023,0.36,4,2023,2023-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42023,1.72,4,2023,2023-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42023,0.56,4,2023,2023-12-31
+FISV,Fiserv,Net Positivity,CQ42023,1.58,4,2023,2023-12-31
+GS,Goldman Sachs,Net Positivity,CQ42023,0.88,4,2023,2023-12-31
+HIG,Hartford Financial,Net Positivity,CQ42023,0.77,4,2023,2023-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42023,0.89,4,2023,2023-12-31
+IVZ,Invesco,Net Positivity,CQ42023,1.4,4,2023,2023-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42023,-0.17,4,2023,2023-12-31
+KEY,KeyCorp,Net Positivity,CQ42023,0.34,4,2023,2023-12-31
+MA,Mastercard,Net Positivity,CQ42023,0.82,4,2023,2023-12-31
+MET,MetLife,Net Positivity,CQ42023,1.3,4,2023,2023-12-31
+MS,Morgan Stanley,Net Positivity,CQ42023,0.67,4,2023,2023-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42023,1.06,4,2023,2023-12-31
+NTRS,Northern Trust,Net Positivity,CQ42023,0.55,4,2023,2023-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42023,-0.12,4,2023,2023-12-31
+PRU,Prudential Financial,Net Positivity,CQ42023,1.51,4,2023,2023-12-31
+RF,Regions Financial,Net Positivity,CQ42023,-0.53,4,2023,2023-12-31
+SPGI,S&P Global,Net Positivity,CQ42023,1.78,4,2023,2023-12-31
+STT,State Street,Net Positivity,CQ42023,0.82,4,2023,2023-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42023,1.59,4,2023,2023-12-31
+TRV,Travelers Companies,Net Positivity,CQ42023,0.81,4,2023,2023-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42023,0.7,4,2023,2023-12-31
+V,Visa,Net Positivity,CQ42023,1.5,4,2023,2023-12-31
+WFC,Wells Fargo,Net Positivity,CQ42023,0.24,4,2023,2023-12-31
+ABBV,AbbVie,Net Positivity,CQ42023,1.08,4,2023,2023-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42023,1.4,4,2023,2023-12-31
+A,Agilent Technologies,Net Positivity,CQ42023,0.46,4,2023,2023-12-31
+AMGN,Amgen,Net Positivity,CQ42023,1.21,4,2023,2023-12-31
+BAX,Baxter International,Net Positivity,CQ42023,1.47,4,2023,2023-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42023,1.93,4,2023,2023-12-31
+BIIB,Biogen,Net Positivity,CQ42023,0.48,4,2023,2023-12-31
+BSX,Boston Scientific,Net Positivity,CQ42023,1.17,4,2023,2023-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42023,1.7,4,2023,2023-12-31
+CVS,CVS Health,Net Positivity,CQ42023,1.42,4,2023,2023-12-31
+COR,Cencora,Net Positivity,CQ42023,,4,2023,2023-12-31
+CI,Cigna,Net Positivity,CQ42023,1.85,4,2023,2023-12-31
+DVA,DaVita,Net Positivity,CQ42023,0.33,4,2023,2023-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42023,0.63,4,2023,2023-12-31
+LLY,Eli Lilly,Net Positivity,CQ42023,0.57,4,2023,2023-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42023,1.23,4,2023,2023-12-31
+HUM,Humana,Net Positivity,CQ42023,1.32,4,2023,2023-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42023,0.43,4,2023,2023-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42023,1.19,4,2023,2023-12-31
+LH,Labcorp,Net Positivity,CQ42023,0.99,4,2023,2023-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42023,0.84,4,2023,2023-12-31
+MDT,Medtronic,Net Positivity,CQ42023,1.27,4,2023,2023-12-31
+MRK,Merck & Co.,Net Positivity,CQ42023,2.0,4,2023,2023-12-31
+PFE,Pfizer,Net Positivity,CQ42023,1.06,4,2023,2023-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42023,1.73,4,2023,2023-12-31
+WAT,Waters Corporation,Net Positivity,CQ42023,0.56,4,2023,2023-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42023,1.8,4,2023,2023-12-31
+MMM,3M,Net Positivity,CQ42023,1.15,4,2023,2023-12-31
+AME,Ametek,Net Positivity,CQ42023,1.71,4,2023,2023-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42023,1.88,4,2023,2023-12-31
+BA,Boeing,Net Positivity,CQ42023,0.85,4,2023,2023-12-31
+CSX,CSX Corporation,Net Positivity,CQ42023,2.16,4,2023,2023-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42023,0.98,4,2023,2023-12-31
+CTAS,Cintas,Net Positivity,CQ42023,1.89,4,2023,2023-12-31
+CMI,Cummins,Net Positivity,CQ42023,1.21,4,2023,2023-12-31
+DE,Deere & Company,Net Positivity,CQ42023,1.38,4,2023,2023-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42023,1.19,4,2023,2023-12-31
+EMR,Emerson Electric,Net Positivity,CQ42023,1.37,4,2023,2023-12-31
+EFX,Equifax,Net Positivity,CQ42023,0.06,4,2023,2023-12-31
+EXPD,Expeditors International,Net Positivity,CQ42023,,4,2023,2023-12-31
+FDX,FedEx,Net Positivity,CQ42023,1.69,4,2023,2023-12-31
+GE,GE Aerospace,Net Positivity,CQ42023,1.88,4,2023,2023-12-31
+GD,General Dynamics,Net Positivity,CQ42023,1.07,4,2023,2023-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42023,1.41,4,2023,2023-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42023,0.43,4,2023,2023-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42023,1.11,4,2023,2023-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42023,1.37,4,2023,2023-12-31
+PCAR,Paccar,Net Positivity,CQ42023,1.98,4,2023,2023-12-31
+RTX,RTX Corporation,Net Positivity,CQ42023,0.6,4,2023,2023-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42023,0.85,4,2023,2023-12-31
+ROP,Roper Technologies,Net Positivity,CQ42023,1.75,4,2023,2023-12-31
+SNA,Snap-on,Net Positivity,CQ42023,1.17,4,2023,2023-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42023,2.2,4,2023,2023-12-31
+UPS,United Parcel Service,Net Positivity,CQ42023,0.26,4,2023,2023-12-31
+WM,Waste Management,Net Positivity,CQ42023,1.34,4,2023,2023-12-31
+ACN,Accenture,Net Positivity,CQ42023,1.48,4,2023,2023-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42023,3.18,4,2023,2023-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42023,0.89,4,2023,2023-12-31
+APH,Amphenol,Net Positivity,CQ42023,0.89,4,2023,2023-12-31
+ADI,Analog Devices,Net Positivity,CQ42023,0.56,4,2023,2023-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42023,1.37,4,2023,2023-12-31
+AMAT,Applied Materials,Net Positivity,CQ42023,1.63,4,2023,2023-12-31
+ADSK,Autodesk,Net Positivity,CQ42023,0.9,4,2023,2023-12-31
+AVGO,Broadcom,Net Positivity,CQ42023,0.19,4,2023,2023-12-31
+CSCO,Cisco,Net Positivity,CQ42023,0.88,4,2023,2023-12-31
+CTSH,Cognizant,Net Positivity,CQ42023,1.19,4,2023,2023-12-31
+HPQ,HP Inc.,Net Positivity,CQ42023,1.75,4,2023,2023-12-31
+IBM,IBM,Net Positivity,CQ42023,1.37,4,2023,2023-12-31
+INTC,Intel,Net Positivity,CQ42023,2.18,4,2023,2023-12-31
+INTU,Intuit,Net Positivity,CQ42023,1.46,4,2023,2023-12-31
+LRCX,Lam Research,Net Positivity,CQ42023,1.23,4,2023,2023-12-31
+MU,Micron Technology,Net Positivity,CQ42023,0.1,4,2023,2023-12-31
+MSFT,Microsoft,Net Positivity,CQ42023,1.5,4,2023,2023-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42023,0.98,4,2023,2023-12-31
+NTAP,NetApp,Net Positivity,CQ42023,1.23,4,2023,2023-12-31
+NVDA,Nvidia,Net Positivity,CQ42023,1.04,4,2023,2023-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42023,0.53,4,2023,2023-12-31
+TXN,Texas Instruments,Net Positivity,CQ42023,0.34,4,2023,2023-12-31
+APD,Air Products,Net Positivity,CQ42023,1.03,4,2023,2023-12-31
+AVY,Avery Dennison,Net Positivity,CQ42023,0.97,4,2023,2023-12-31
+ECL,Ecolab,Net Positivity,CQ42023,2.27,4,2023,2023-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42023,1.93,4,2023,2023-12-31
+IP,International Paper,Net Positivity,CQ42023,1.85,4,2023,2023-12-31
+LIN,Linde plc,Net Positivity,CQ42023,0.44,4,2023,2023-12-31
+NEM,Newmont,Net Positivity,CQ42023,0.81,4,2023,2023-12-31
+NUE,Nucor,Net Positivity,CQ42023,0.8,4,2023,2023-12-31
+AMT,American Tower,Net Positivity,CQ42023,0.94,4,2023,2023-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42023,0.8,4,2023,2023-12-31
+EQR,Equity Residential,Net Positivity,CQ42023,-0.14,4,2023,2023-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42023,,4,2023,2023-12-31
+IRM,Iron Mountain,Net Positivity,CQ42023,1.86,4,2023,2023-12-31
+PLD,Prologis,Net Positivity,CQ42023,0.25,4,2023,2023-12-31
+VTR,Ventas,Net Positivity,CQ42023,2.26,4,2023,2023-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42023,0.26,4,2023,2023-12-31
+AES,AES Corporation,Net Positivity,CQ42023,0.99,4,2023,2023-12-31
+AEE,Ameren,Net Positivity,CQ42023,1.16,4,2023,2023-12-31
+AEP,American Electric Power,Net Positivity,CQ42023,0.98,4,2023,2023-12-31
+CMS,CMS Energy,Net Positivity,CQ42023,0.99,4,2023,2023-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42023,1.64,4,2023,2023-12-31
+DUK,Duke Energy,Net Positivity,CQ42023,1.12,4,2023,2023-12-31
+EIX,Edison International,Net Positivity,CQ42023,0.61,4,2023,2023-12-31
+ETR,Entergy,Net Positivity,CQ42023,0.83,4,2023,2023-12-31
+EXC,Exelon,Net Positivity,CQ42023,1.13,4,2023,2023-12-31
+NEE,NextEra Energy,Net Positivity,CQ42023,1.4,4,2023,2023-12-31
+SO,Southern Company,Net Positivity,CQ42023,0.75,4,2023,2023-12-31
+XEL,Xcel Energy,Net Positivity,CQ42023,0.9,4,2023,2023-12-31
+T,AT&T,Numeric Transeprency,CQ42023,1.07,4,2023,2023-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42023,1.51,4,2023,2023-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42023,,4,2023,2023-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42023,1.68,4,2023,2023-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42023,1.05,4,2023,2023-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42023,3.11,4,2023,2023-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42023,2.59,4,2023,2023-12-31
+VZ,Verizon,Numeric Transeprency,CQ42023,2.04,4,2023,2023-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42023,1.41,4,2023,2023-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42023,2.3,4,2023,2023-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42023,1.3,4,2023,2023-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42023,2.05,4,2023,2023-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42023,2.49,4,2023,2023-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42023,1.56,4,2023,2023-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42023,1.7,4,2023,2023-12-31
+GM,General Motors,Numeric Transeprency,CQ42023,1.53,4,2023,2023-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42023,2.41,4,2023,2023-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42023,2.75,4,2023,2023-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42023,1.25,4,2023,2023-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42023,0.86,4,2023,2023-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42023,1.94,4,2023,2023-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42023,1.89,4,2023,2023-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42023,1.86,4,2023,2023-12-31
+TGT,Target,Numeric Transeprency,CQ42023,1.67,4,2023,2023-12-31
+MO,Altria,Numeric Transeprency,CQ42023,1.92,4,2023,2023-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42023,1.7,4,2023,2023-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42023,1.67,4,2023,2023-12-31
+CLX,Clorox,Numeric Transeprency,CQ42023,0.84,4,2023,2023-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42023,1.28,4,2023,2023-12-31
+COST,Costco,Numeric Transeprency,CQ42023,4.14,4,2023,2023-12-31
+GIS,General Mills,Numeric Transeprency,CQ42023,0.96,4,2023,2023-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42023,0.52,4,2023,2023-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42023,2.79,4,2023,2023-12-31
+KR,Kroger,Numeric Transeprency,CQ42023,1.34,4,2023,2023-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42023,2.02,4,2023,2023-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42023,0.83,4,2023,2023-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42023,2.26,4,2023,2023-12-31
+SYY,Sysco,Numeric Transeprency,CQ42023,1.43,4,2023,2023-12-31
+WMT,Walmart,Numeric Transeprency,CQ42023,1.34,4,2023,2023-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42023,1.96,4,2023,2023-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42023,,4,2023,2023-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42023,2.49,4,2023,2023-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42023,1.98,4,2023,2023-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42023,1.84,4,2023,2023-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42023,2.02,4,2023,2023-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42023,1.32,4,2023,2023-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42023,1.7,4,2023,2023-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42023,2.45,4,2023,2023-12-31
+AFL,Aflac,Numeric Transeprency,CQ42023,1.99,4,2023,2023-12-31
+ALL,Allstate,Numeric Transeprency,CQ42023,2.59,4,2023,2023-12-31
+AXP,American Express,Numeric Transeprency,CQ42023,2.19,4,2023,2023-12-31
+AIG,American International Group,Numeric Transeprency,CQ42023,3.42,4,2023,2023-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42023,2.41,4,2023,2023-12-31
+AON,Aon plc,Numeric Transeprency,CQ42023,2.18,4,2023,2023-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42023,1.66,4,2023,2023-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42023,3.33,4,2023,2023-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42023,,4,2023,2023-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42023,2.2,4,2023,2023-12-31
+CME,CME Group,Numeric Transeprency,CQ42023,1.6,4,2023,2023-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42023,,4,2023,2023-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42023,2.65,4,2023,2023-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42023,2.64,4,2023,2023-12-31
+C,Citigroup,Numeric Transeprency,CQ42023,2.28,4,2023,2023-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42023,3.06,4,2023,2023-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42023,2.52,4,2023,2023-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42023,3.35,4,2023,2023-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42023,1.98,4,2023,2023-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42023,2.27,4,2023,2023-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42023,1.36,4,2023,2023-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42023,2.02,4,2023,2023-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42023,2.11,4,2023,2023-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42023,2.55,4,2023,2023-12-31
+MA,Mastercard,Numeric Transeprency,CQ42023,1.45,4,2023,2023-12-31
+MET,MetLife,Numeric Transeprency,CQ42023,3.33,4,2023,2023-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42023,1.68,4,2023,2023-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42023,2.6,4,2023,2023-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42023,2.8,4,2023,2023-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42023,3.29,4,2023,2023-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42023,1.14,4,2023,2023-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42023,2.79,4,2023,2023-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42023,1.79,4,2023,2023-12-31
+STT,State Street,Numeric Transeprency,CQ42023,2.17,4,2023,2023-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42023,1.78,4,2023,2023-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42023,1.92,4,2023,2023-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42023,2.49,4,2023,2023-12-31
+V,Visa,Numeric Transeprency,CQ42023,3.16,4,2023,2023-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42023,1.52,4,2023,2023-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42023,2.35,4,2023,2023-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42023,1.82,4,2023,2023-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42023,2.03,4,2023,2023-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42023,2.65,4,2023,2023-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42023,2.28,4,2023,2023-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42023,3.29,4,2023,2023-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42023,1.8,4,2023,2023-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42023,4.02,4,2023,2023-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42023,2.16,4,2023,2023-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42023,2.72,4,2023,2023-12-31
+COR,Cencora,Numeric Transeprency,CQ42023,,4,2023,2023-12-31
+CI,Cigna,Numeric Transeprency,CQ42023,2.34,4,2023,2023-12-31
+DVA,DaVita,Numeric Transeprency,CQ42023,2.58,4,2023,2023-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42023,1.63,4,2023,2023-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42023,1.71,4,2023,2023-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42023,3.09,4,2023,2023-12-31
+HUM,Humana,Numeric Transeprency,CQ42023,2.64,4,2023,2023-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42023,3.03,4,2023,2023-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42023,2.67,4,2023,2023-12-31
+LH,Labcorp,Numeric Transeprency,CQ42023,2.94,4,2023,2023-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42023,2.59,4,2023,2023-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42023,1.51,4,2023,2023-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42023,1.64,4,2023,2023-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42023,2.08,4,2023,2023-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42023,2.82,4,2023,2023-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42023,2.64,4,2023,2023-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42023,2.12,4,2023,2023-12-31
+MMM,3M,Numeric Transeprency,CQ42023,2.45,4,2023,2023-12-31
+AME,Ametek,Numeric Transeprency,CQ42023,2.48,4,2023,2023-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42023,0.93,4,2023,2023-12-31
+BA,Boeing,Numeric Transeprency,CQ42023,3.23,4,2023,2023-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42023,1.25,4,2023,2023-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42023,2.26,4,2023,2023-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42023,1.64,4,2023,2023-12-31
+CMI,Cummins,Numeric Transeprency,CQ42023,3.91,4,2023,2023-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42023,3.15,4,2023,2023-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42023,2.58,4,2023,2023-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42023,4.36,4,2023,2023-12-31
+EFX,Equifax,Numeric Transeprency,CQ42023,3.33,4,2023,2023-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42023,,4,2023,2023-12-31
+FDX,FedEx,Numeric Transeprency,CQ42023,1.3,4,2023,2023-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42023,2.63,4,2023,2023-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42023,3.15,4,2023,2023-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42023,3.26,4,2023,2023-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42023,2.25,4,2023,2023-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42023,1.29,4,2023,2023-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42023,2.19,4,2023,2023-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42023,2.58,4,2023,2023-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42023,2.92,4,2023,2023-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42023,3.58,4,2023,2023-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42023,1.63,4,2023,2023-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42023,3.16,4,2023,2023-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42023,2.36,4,2023,2023-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42023,2.76,4,2023,2023-12-31
+WM,Waste Management,Numeric Transeprency,CQ42023,3.09,4,2023,2023-12-31
+ACN,Accenture,Numeric Transeprency,CQ42023,2.34,4,2023,2023-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42023,2.48,4,2023,2023-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42023,1.95,4,2023,2023-12-31
+APH,Amphenol,Numeric Transeprency,CQ42023,2.51,4,2023,2023-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42023,3.01,4,2023,2023-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42023,1.99,4,2023,2023-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42023,2.85,4,2023,2023-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42023,1.53,4,2023,2023-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42023,4.55,4,2023,2023-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42023,2.46,4,2023,2023-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42023,2.21,4,2023,2023-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42023,2.74,4,2023,2023-12-31
+IBM,IBM,Numeric Transeprency,CQ42023,2.72,4,2023,2023-12-31
+INTC,Intel,Numeric Transeprency,CQ42023,2.18,4,2023,2023-12-31
+INTU,Intuit,Numeric Transeprency,CQ42023,1.58,4,2023,2023-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42023,1.6,4,2023,2023-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42023,1.56,4,2023,2023-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42023,3.1,4,2023,2023-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42023,3.31,4,2023,2023-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42023,2.17,4,2023,2023-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42023,1.43,4,2023,2023-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42023,2.08,4,2023,2023-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42023,2.46,4,2023,2023-12-31
+APD,Air Products,Numeric Transeprency,CQ42023,2.4,4,2023,2023-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42023,1.63,4,2023,2023-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42023,1.45,4,2023,2023-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42023,2.22,4,2023,2023-12-31
+IP,International Paper,Numeric Transeprency,CQ42023,1.35,4,2023,2023-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42023,1.99,4,2023,2023-12-31
+NEM,Newmont,Numeric Transeprency,CQ42023,2.47,4,2023,2023-12-31
+NUE,Nucor,Numeric Transeprency,CQ42023,1.59,4,2023,2023-12-31
+AMT,American Tower,Numeric Transeprency,CQ42023,2.5,4,2023,2023-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42023,2.22,4,2023,2023-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42023,1.8,4,2023,2023-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42023,,4,2023,2023-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42023,2.22,4,2023,2023-12-31
+PLD,Prologis,Numeric Transeprency,CQ42023,2.17,4,2023,2023-12-31
+VTR,Ventas,Numeric Transeprency,CQ42023,2.67,4,2023,2023-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42023,1.46,4,2023,2023-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42023,2.34,4,2023,2023-12-31
+AEE,Ameren,Numeric Transeprency,CQ42023,3.45,4,2023,2023-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42023,2.65,4,2023,2023-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42023,1.97,4,2023,2023-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42023,3.47,4,2023,2023-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42023,3.27,4,2023,2023-12-31
+EIX,Edison International,Numeric Transeprency,CQ42023,2.95,4,2023,2023-12-31
+ETR,Entergy,Numeric Transeprency,CQ42023,1.75,4,2023,2023-12-31
+EXC,Exelon,Numeric Transeprency,CQ42023,2.9,4,2023,2023-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42023,3.07,4,2023,2023-12-31
+SO,Southern Company,Numeric Transeprency,CQ42023,2.18,4,2023,2023-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42023,3.1,4,2023,2023-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42023,29.17,4,2023,2023-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42023,13.64,4,2023,2023-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42023,,4,2023,2023-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42023,10.42,4,2023,2023-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42023,2.38,4,2023,2023-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42023,25.0,4,2023,2023-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42023,38.46,4,2023,2023-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42023,47.83,4,2023,2023-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42023,10.0,4,2023,2023-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42023,29.17,4,2023,2023-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42023,20.69,4,2023,2023-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42023,29.63,4,2023,2023-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42023,36.67,4,2023,2023-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42023,59.26,4,2023,2023-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42023,25.0,4,2023,2023-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42023,38.1,4,2023,2023-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42023,41.67,4,2023,2023-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42023,54.55,4,2023,2023-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42023,19.44,4,2023,2023-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42023,30.0,4,2023,2023-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42023,15.79,4,2023,2023-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42023,42.86,4,2023,2023-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42023,28.0,4,2023,2023-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42023,21.62,4,2023,2023-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42023,42.86,4,2023,2023-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42023,31.25,4,2023,2023-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42023,35.29,4,2023,2023-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42023,55.0,4,2023,2023-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42023,28.57,4,2023,2023-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42023,42.11,4,2023,2023-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42023,52.63,4,2023,2023-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42023,25.0,4,2023,2023-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42023,34.78,4,2023,2023-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42023,36.36,4,2023,2023-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42023,45.45,4,2023,2023-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42023,35.29,4,2023,2023-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42023,26.67,4,2023,2023-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42023,31.82,4,2023,2023-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42023,,4,2023,2023-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42023,34.62,4,2023,2023-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42023,45.45,4,2023,2023-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42023,37.04,4,2023,2023-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42023,21.74,4,2023,2023-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42023,29.63,4,2023,2023-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42023,47.06,4,2023,2023-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42023,53.85,4,2023,2023-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42023,22.22,4,2023,2023-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42023,37.5,4,2023,2023-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42023,21.43,4,2023,2023-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42023,46.15,4,2023,2023-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42023,33.33,4,2023,2023-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42023,58.82,4,2023,2023-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42023,34.78,4,2023,2023-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42023,,4,2023,2023-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42023,33.33,4,2023,2023-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42023,73.33,4,2023,2023-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42023,,4,2023,2023-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42023,38.1,4,2023,2023-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42023,66.67,4,2023,2023-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42023,38.1,4,2023,2023-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42023,23.08,4,2023,2023-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42023,36.36,4,2023,2023-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42023,24.14,4,2023,2023-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42023,34.78,4,2023,2023-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42023,35.29,4,2023,2023-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42023,46.15,4,2023,2023-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42023,57.14,4,2023,2023-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42023,34.78,4,2023,2023-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42023,33.33,4,2023,2023-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42023,42.86,4,2023,2023-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42023,33.33,4,2023,2023-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42023,35.29,4,2023,2023-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42023,46.67,4,2023,2023-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42023,23.81,4,2023,2023-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42023,53.85,4,2023,2023-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42023,25.0,4,2023,2023-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42023,68.18,4,2023,2023-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42023,52.94,4,2023,2023-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42023,66.67,4,2023,2023-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42023,52.38,4,2023,2023-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42023,28.0,4,2023,2023-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42023,33.33,4,2023,2023-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42023,26.09,4,2023,2023-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42023,37.04,4,2023,2023-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42023,30.0,4,2023,2023-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42023,26.67,4,2023,2023-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42023,20.83,4,2023,2023-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42023,32.14,4,2023,2023-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42023,58.33,4,2023,2023-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42023,17.39,4,2023,2023-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42023,,4,2023,2023-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42023,36.84,4,2023,2023-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42023,28.57,4,2023,2023-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42023,52.17,4,2023,2023-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42023,26.92,4,2023,2023-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42023,52.63,4,2023,2023-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42023,30.77,4,2023,2023-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42023,71.43,4,2023,2023-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42023,30.77,4,2023,2023-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42023,46.67,4,2023,2023-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42023,26.67,4,2023,2023-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42023,47.83,4,2023,2023-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42023,61.11,4,2023,2023-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42023,16.67,4,2023,2023-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42023,37.5,4,2023,2023-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42023,30.43,4,2023,2023-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42023,46.67,4,2023,2023-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42023,37.5,4,2023,2023-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42023,47.37,4,2023,2023-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42023,38.1,4,2023,2023-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42023,53.85,4,2023,2023-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42023,41.67,4,2023,2023-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42023,73.68,4,2023,2023-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42023,36.84,4,2023,2023-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42023,19.23,4,2023,2023-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42023,40.0,4,2023,2023-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42023,42.11,4,2023,2023-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42023,75.0,4,2023,2023-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42023,,4,2023,2023-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42023,53.33,4,2023,2023-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42023,46.67,4,2023,2023-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42023,38.89,4,2023,2023-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42023,38.89,4,2023,2023-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42023,47.37,4,2023,2023-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42023,57.69,4,2023,2023-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42023,41.18,4,2023,2023-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42023,47.06,4,2023,2023-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42023,40.0,4,2023,2023-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42023,33.33,4,2023,2023-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42023,70.59,4,2023,2023-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42023,62.5,4,2023,2023-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42023,46.67,4,2023,2023-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42023,33.33,4,2023,2023-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42023,47.37,4,2023,2023-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42023,32.0,4,2023,2023-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42023,20.59,4,2023,2023-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42023,52.17,4,2023,2023-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42023,66.67,4,2023,2023-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42023,23.08,4,2023,2023-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42023,21.43,4,2023,2023-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42023,38.71,4,2023,2023-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42023,33.33,4,2023,2023-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42023,31.03,4,2023,2023-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42023,30.77,4,2023,2023-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42023,19.23,4,2023,2023-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42023,40.0,4,2023,2023-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42023,40.0,4,2023,2023-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42023,19.44,4,2023,2023-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42023,29.63,4,2023,2023-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42023,38.46,4,2023,2023-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42023,15.0,4,2023,2023-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42023,10.2,4,2023,2023-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42023,10.64,4,2023,2023-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42023,16.67,4,2023,2023-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42023,30.0,4,2023,2023-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42023,38.89,4,2023,2023-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42023,70.0,4,2023,2023-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42023,65.0,4,2023,2023-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42023,44.44,4,2023,2023-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42023,66.67,4,2023,2023-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42023,47.62,4,2023,2023-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42023,26.67,4,2023,2023-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42023,63.64,4,2023,2023-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42023,58.33,4,2023,2023-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42023,50.0,4,2023,2023-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42023,28.57,4,2023,2023-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42023,,4,2023,2023-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42023,80.0,4,2023,2023-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42023,60.0,4,2023,2023-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42023,14.29,4,2023,2023-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42023,72.73,4,2023,2023-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42023,33.33,4,2023,2023-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42023,28.57,4,2023,2023-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42023,31.58,4,2023,2023-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42023,58.82,4,2023,2023-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42023,31.25,4,2023,2023-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42023,22.22,4,2023,2023-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42023,37.5,4,2023,2023-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42023,41.18,4,2023,2023-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42023,11.11,4,2023,2023-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42023,25.0,4,2023,2023-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42023,44.44,4,2023,2023-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42023,52.94,4,2023,2023-12-31
+T,AT&T,Language Complexity,CQ42023,12.35,4,2023,2023-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42023,13.04,4,2023,2023-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42023,,4,2023,2023-12-31
+META,Meta Platforms,Language Complexity,CQ42023,13.36,4,2023,2023-12-31
+NFLX,Netflix,Language Complexity,CQ42023,10.99,4,2023,2023-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42023,14.55,4,2023,2023-12-31
+OMC,Omnicom Group,Language Complexity,CQ42023,12.49,4,2023,2023-12-31
+VZ,Verizon,Language Complexity,CQ42023,11.57,4,2023,2023-12-31
+AMZN,Amazon,Language Complexity,CQ42023,14.45,4,2023,2023-12-31
+AZO,AutoZone,Language Complexity,CQ42023,12.76,4,2023,2023-12-31
+BBY,Best Buy,Language Complexity,CQ42023,13.86,4,2023,2023-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42023,11.27,4,2023,2023-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42023,11.95,4,2023,2023-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42023,11.26,4,2023,2023-12-31
+F,Ford Motor Company,Language Complexity,CQ42023,12.69,4,2023,2023-12-31
+GM,General Motors,Language Complexity,CQ42023,12.72,4,2023,2023-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42023,12.86,4,2023,2023-12-31
+HAS,Hasbro,Language Complexity,CQ42023,11.68,4,2023,2023-12-31
+LOW,Lowe's,Language Complexity,CQ42023,13.78,4,2023,2023-12-31
+MCD,McDonald's,Language Complexity,CQ42023,13.9,4,2023,2023-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42023,13.15,4,2023,2023-12-31
+ROST,Ross Stores,Language Complexity,CQ42023,10.11,4,2023,2023-12-31
+TJX,TJX Companies,Language Complexity,CQ42023,12.16,4,2023,2023-12-31
+TGT,Target,Language Complexity,CQ42023,13.94,4,2023,2023-12-31
+MO,Altria,Language Complexity,CQ42023,12.44,4,2023,2023-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42023,13.66,4,2023,2023-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42023,13.01,4,2023,2023-12-31
+CLX,Clorox,Language Complexity,CQ42023,12.13,4,2023,2023-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42023,13.52,4,2023,2023-12-31
+COST,Costco,Language Complexity,CQ42023,10.1,4,2023,2023-12-31
+GIS,General Mills,Language Complexity,CQ42023,11.32,4,2023,2023-12-31
+HSY,Hershey Company,Language Complexity,CQ42023,11.04,4,2023,2023-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42023,11.42,4,2023,2023-12-31
+KR,Kroger,Language Complexity,CQ42023,13.55,4,2023,2023-12-31
+MKC,McCormick & Company,Language Complexity,CQ42023,12.88,4,2023,2023-12-31
+PEP,PepsiCo,Language Complexity,CQ42023,12.54,4,2023,2023-12-31
+PG,Procter & Gamble,Language Complexity,CQ42023,11.8,4,2023,2023-12-31
+SYY,Sysco,Language Complexity,CQ42023,12.54,4,2023,2023-12-31
+WMT,Walmart,Language Complexity,CQ42023,11.65,4,2023,2023-12-31
+APA,APA Corporation,Language Complexity,CQ42023,11.21,4,2023,2023-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42023,,4,2023,2023-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42023,10.62,4,2023,2023-12-31
+EOG,EOG Resources,Language Complexity,CQ42023,12.88,4,2023,2023-12-31
+XOM,ExxonMobil,Language Complexity,CQ42023,12.46,4,2023,2023-12-31
+HAL,Halliburton,Language Complexity,CQ42023,12.54,4,2023,2023-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42023,14.09,4,2023,2023-12-31
+SLB,Schlumberger,Language Complexity,CQ42023,14.32,4,2023,2023-12-31
+VLO,Valero Energy,Language Complexity,CQ42023,11.21,4,2023,2023-12-31
+AFL,Aflac,Language Complexity,CQ42023,12.25,4,2023,2023-12-31
+ALL,Allstate,Language Complexity,CQ42023,13.24,4,2023,2023-12-31
+AXP,American Express,Language Complexity,CQ42023,11.55,4,2023,2023-12-31
+AIG,American International Group,Language Complexity,CQ42023,14.18,4,2023,2023-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42023,12.79,4,2023,2023-12-31
+AON,Aon plc,Language Complexity,CQ42023,13.36,4,2023,2023-12-31
+BK,BNY Mellon,Language Complexity,CQ42023,12.45,4,2023,2023-12-31
+BAC,Bank of America,Language Complexity,CQ42023,11.32,4,2023,2023-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42023,,4,2023,2023-12-31
+BLK,BlackRock,Language Complexity,CQ42023,14.04,4,2023,2023-12-31
+CME,CME Group,Language Complexity,CQ42023,11.33,4,2023,2023-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42023,,4,2023,2023-12-31
+CB,Chubb Limited,Language Complexity,CQ42023,11.64,4,2023,2023-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42023,13.04,4,2023,2023-12-31
+C,Citigroup,Language Complexity,CQ42023,12.31,4,2023,2023-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42023,12.76,4,2023,2023-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42023,12.64,4,2023,2023-12-31
+FISV,Fiserv,Language Complexity,CQ42023,12.85,4,2023,2023-12-31
+GS,Goldman Sachs,Language Complexity,CQ42023,12.1,4,2023,2023-12-31
+HIG,Hartford Financial,Language Complexity,CQ42023,11.92,4,2023,2023-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42023,14.45,4,2023,2023-12-31
+IVZ,Invesco,Language Complexity,CQ42023,13.28,4,2023,2023-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42023,11.48,4,2023,2023-12-31
+KEY,KeyCorp,Language Complexity,CQ42023,11.18,4,2023,2023-12-31
+MA,Mastercard,Language Complexity,CQ42023,12.29,4,2023,2023-12-31
+MET,MetLife,Language Complexity,CQ42023,12.71,4,2023,2023-12-31
+MS,Morgan Stanley,Language Complexity,CQ42023,11.04,4,2023,2023-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42023,13.47,4,2023,2023-12-31
+NTRS,Northern Trust,Language Complexity,CQ42023,11.44,4,2023,2023-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42023,11.44,4,2023,2023-12-31
+PRU,Prudential Financial,Language Complexity,CQ42023,13.59,4,2023,2023-12-31
+RF,Regions Financial,Language Complexity,CQ42023,11.49,4,2023,2023-12-31
+SPGI,S&P Global,Language Complexity,CQ42023,13.3,4,2023,2023-12-31
+STT,State Street,Language Complexity,CQ42023,12.66,4,2023,2023-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42023,13.15,4,2023,2023-12-31
+TRV,Travelers Companies,Language Complexity,CQ42023,12.44,4,2023,2023-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42023,11.69,4,2023,2023-12-31
+V,Visa,Language Complexity,CQ42023,12.4,4,2023,2023-12-31
+WFC,Wells Fargo,Language Complexity,CQ42023,12.66,4,2023,2023-12-31
+ABBV,AbbVie,Language Complexity,CQ42023,12.11,4,2023,2023-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42023,11.42,4,2023,2023-12-31
+A,Agilent Technologies,Language Complexity,CQ42023,10.86,4,2023,2023-12-31
+AMGN,Amgen,Language Complexity,CQ42023,12.96,4,2023,2023-12-31
+BAX,Baxter International,Language Complexity,CQ42023,13.98,4,2023,2023-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42023,13.69,4,2023,2023-12-31
+BIIB,Biogen,Language Complexity,CQ42023,12.55,4,2023,2023-12-31
+BSX,Boston Scientific,Language Complexity,CQ42023,12.93,4,2023,2023-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42023,11.71,4,2023,2023-12-31
+CVS,CVS Health,Language Complexity,CQ42023,14.24,4,2023,2023-12-31
+COR,Cencora,Language Complexity,CQ42023,,4,2023,2023-12-31
+CI,Cigna,Language Complexity,CQ42023,14.99,4,2023,2023-12-31
+DVA,DaVita,Language Complexity,CQ42023,11.2,4,2023,2023-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42023,12.97,4,2023,2023-12-31
+LLY,Eli Lilly,Language Complexity,CQ42023,12.33,4,2023,2023-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42023,13.3,4,2023,2023-12-31
+HUM,Humana,Language Complexity,CQ42023,15.13,4,2023,2023-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42023,12.64,4,2023,2023-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42023,13.49,4,2023,2023-12-31
+LH,Labcorp,Language Complexity,CQ42023,12.23,4,2023,2023-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42023,14.49,4,2023,2023-12-31
+MDT,Medtronic,Language Complexity,CQ42023,12.49,4,2023,2023-12-31
+MRK,Merck & Co.,Language Complexity,CQ42023,13.41,4,2023,2023-12-31
+PFE,Pfizer,Language Complexity,CQ42023,11.58,4,2023,2023-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42023,13.35,4,2023,2023-12-31
+WAT,Waters Corporation,Language Complexity,CQ42023,12.06,4,2023,2023-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42023,10.67,4,2023,2023-12-31
+MMM,3M,Language Complexity,CQ42023,11.66,4,2023,2023-12-31
+AME,Ametek,Language Complexity,CQ42023,11.88,4,2023,2023-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42023,12.13,4,2023,2023-12-31
+BA,Boeing,Language Complexity,CQ42023,11.15,4,2023,2023-12-31
+CSX,CSX Corporation,Language Complexity,CQ42023,11.73,4,2023,2023-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42023,12.18,4,2023,2023-12-31
+CTAS,Cintas,Language Complexity,CQ42023,10.39,4,2023,2023-12-31
+CMI,Cummins,Language Complexity,CQ42023,13.51,4,2023,2023-12-31
+DE,Deere & Company,Language Complexity,CQ42023,13.03,4,2023,2023-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42023,11.2,4,2023,2023-12-31
+EMR,Emerson Electric,Language Complexity,CQ42023,12.75,4,2023,2023-12-31
+EFX,Equifax,Language Complexity,CQ42023,12.43,4,2023,2023-12-31
+EXPD,Expeditors International,Language Complexity,CQ42023,,4,2023,2023-12-31
+FDX,FedEx,Language Complexity,CQ42023,12.0,4,2023,2023-12-31
+GE,GE Aerospace,Language Complexity,CQ42023,11.32,4,2023,2023-12-31
+GD,General Dynamics,Language Complexity,CQ42023,11.34,4,2023,2023-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42023,12.05,4,2023,2023-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42023,12.5,4,2023,2023-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42023,12.47,4,2023,2023-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42023,12.19,4,2023,2023-12-31
+PCAR,Paccar,Language Complexity,CQ42023,10.3,4,2023,2023-12-31
+RTX,RTX Corporation,Language Complexity,CQ42023,12.18,4,2023,2023-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42023,12.07,4,2023,2023-12-31
+ROP,Roper Technologies,Language Complexity,CQ42023,11.54,4,2023,2023-12-31
+SNA,Snap-on,Language Complexity,CQ42023,11.73,4,2023,2023-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42023,13.36,4,2023,2023-12-31
+UPS,United Parcel Service,Language Complexity,CQ42023,10.95,4,2023,2023-12-31
+WM,Waste Management,Language Complexity,CQ42023,11.56,4,2023,2023-12-31
+ACN,Accenture,Language Complexity,CQ42023,12.64,4,2023,2023-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42023,14.92,4,2023,2023-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42023,11.89,4,2023,2023-12-31
+APH,Amphenol,Language Complexity,CQ42023,12.98,4,2023,2023-12-31
+ADI,Analog Devices,Language Complexity,CQ42023,11.8,4,2023,2023-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42023,12.09,4,2023,2023-12-31
+AMAT,Applied Materials,Language Complexity,CQ42023,11.34,4,2023,2023-12-31
+ADSK,Autodesk,Language Complexity,CQ42023,12.8,4,2023,2023-12-31
+AVGO,Broadcom,Language Complexity,CQ42023,11.99,4,2023,2023-12-31
+CSCO,Cisco,Language Complexity,CQ42023,11.56,4,2023,2023-12-31
+CTSH,Cognizant,Language Complexity,CQ42023,13.56,4,2023,2023-12-31
+HPQ,HP Inc.,Language Complexity,CQ42023,13.02,4,2023,2023-12-31
+IBM,IBM,Language Complexity,CQ42023,12.34,4,2023,2023-12-31
+INTC,Intel,Language Complexity,CQ42023,13.1,4,2023,2023-12-31
+INTU,Intuit,Language Complexity,CQ42023,11.81,4,2023,2023-12-31
+LRCX,Lam Research,Language Complexity,CQ42023,11.86,4,2023,2023-12-31
+MU,Micron Technology,Language Complexity,CQ42023,11.47,4,2023,2023-12-31
+MSFT,Microsoft,Language Complexity,CQ42023,14.06,4,2023,2023-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42023,11.49,4,2023,2023-12-31
+NTAP,NetApp,Language Complexity,CQ42023,12.87,4,2023,2023-12-31
+NVDA,Nvidia,Language Complexity,CQ42023,12.86,4,2023,2023-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42023,11.83,4,2023,2023-12-31
+TXN,Texas Instruments,Language Complexity,CQ42023,10.41,4,2023,2023-12-31
+APD,Air Products,Language Complexity,CQ42023,11.74,4,2023,2023-12-31
+AVY,Avery Dennison,Language Complexity,CQ42023,13.9,4,2023,2023-12-31
+ECL,Ecolab,Language Complexity,CQ42023,11.86,4,2023,2023-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42023,12.54,4,2023,2023-12-31
+IP,International Paper,Language Complexity,CQ42023,11.85,4,2023,2023-12-31
+LIN,Linde plc,Language Complexity,CQ42023,12.02,4,2023,2023-12-31
+NEM,Newmont,Language Complexity,CQ42023,14.25,4,2023,2023-12-31
+NUE,Nucor,Language Complexity,CQ42023,11.98,4,2023,2023-12-31
+AMT,American Tower,Language Complexity,CQ42023,14.1,4,2023,2023-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42023,11.72,4,2023,2023-12-31
+EQR,Equity Residential,Language Complexity,CQ42023,11.7,4,2023,2023-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42023,,4,2023,2023-12-31
+IRM,Iron Mountain,Language Complexity,CQ42023,13.55,4,2023,2023-12-31
+PLD,Prologis,Language Complexity,CQ42023,11.43,4,2023,2023-12-31
+VTR,Ventas,Language Complexity,CQ42023,12.64,4,2023,2023-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42023,11.82,4,2023,2023-12-31
+AES,AES Corporation,Language Complexity,CQ42023,11.7,4,2023,2023-12-31
+AEE,Ameren,Language Complexity,CQ42023,14.06,4,2023,2023-12-31
+AEP,American Electric Power,Language Complexity,CQ42023,12.15,4,2023,2023-12-31
+CMS,CMS Energy,Language Complexity,CQ42023,12.0,4,2023,2023-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42023,13.02,4,2023,2023-12-31
+DUK,Duke Energy,Language Complexity,CQ42023,13.15,4,2023,2023-12-31
+EIX,Edison International,Language Complexity,CQ42023,12.87,4,2023,2023-12-31
+ETR,Entergy,Language Complexity,CQ42023,14.11,4,2023,2023-12-31
+EXC,Exelon,Language Complexity,CQ42023,15.3,4,2023,2023-12-31
+NEE,NextEra Energy,Language Complexity,CQ42023,13.74,4,2023,2023-12-31
+SO,Southern Company,Language Complexity,CQ42023,11.86,4,2023,2023-12-31
+XEL,Xcel Energy,Language Complexity,CQ42023,12.82,4,2023,2023-12-31
+T,AT&T,Net Positivity,CQ12024,1.64,1,2024,2024-03-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ12024,2.5,1,2024,2024-03-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ12024,,1,2024,2024-03-31
+META,Meta Platforms,Net Positivity,CQ12024,2.0,1,2024,2024-03-31
+NFLX,Netflix,Net Positivity,CQ12024,1.78,1,2024,2024-03-31
+NWSA,News Corp (Class A),Net Positivity,CQ12024,1.56,1,2024,2024-03-31
+OMC,Omnicom Group,Net Positivity,CQ12024,1.27,1,2024,2024-03-31
+VZ,Verizon,Net Positivity,CQ12024,1.98,1,2024,2024-03-31
+AMZN,Amazon,Net Positivity,CQ12024,2.05,1,2024,2024-03-31
+AZO,AutoZone,Net Positivity,CQ12024,1.34,1,2024,2024-03-31
+BBY,Best Buy,Net Positivity,CQ12024,1.61,1,2024,2024-03-31
+BKNG,Booking Holdings,Net Positivity,CQ12024,1.73,1,2024,2024-03-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ12024,2.59,1,2024,2024-03-31
+DRI,Darden Restaurants,Net Positivity,CQ12024,1.23,1,2024,2024-03-31
+F,Ford Motor Company,Net Positivity,CQ12024,1.07,1,2024,2024-03-31
+GM,General Motors,Net Positivity,CQ12024,1.55,1,2024,2024-03-31
+GPC,Genuine Parts Company,Net Positivity,CQ12024,1.95,1,2024,2024-03-31
+HAS,Hasbro,Net Positivity,CQ12024,0.93,1,2024,2024-03-31
+LOW,Lowe's,Net Positivity,CQ12024,2.04,1,2024,2024-03-31
+MCD,McDonald's,Net Positivity,CQ12024,2.24,1,2024,2024-03-31
+NKE,"Nike, Inc.",Net Positivity,CQ12024,2.16,1,2024,2024-03-31
+ROST,Ross Stores,Net Positivity,CQ12024,1.43,1,2024,2024-03-31
+TJX,TJX Companies,Net Positivity,CQ12024,2.18,1,2024,2024-03-31
+TGT,Target,Net Positivity,CQ12024,2.0,1,2024,2024-03-31
+MO,Altria,Net Positivity,CQ12024,0.09,1,2024,2024-03-31
+ADM,Archer Daniels Midland,Net Positivity,CQ12024,1.04,1,2024,2024-03-31
+BF.B,Brown-Forman,Net Positivity,CQ12024,0.34,1,2024,2024-03-31
+CLX,Clorox,Net Positivity,CQ12024,0.78,1,2024,2024-03-31
+KO,Coca-Cola Company,Net Positivity,CQ12024,1.06,1,2024,2024-03-31
+COST,Costco,Net Positivity,CQ12024,0.76,1,2024,2024-03-31
+GIS,General Mills,Net Positivity,CQ12024,1.23,1,2024,2024-03-31
+HSY,Hershey Company,Net Positivity,CQ12024,0.98,1,2024,2024-03-31
+KMB,Kimberly-Clark,Net Positivity,CQ12024,1.07,1,2024,2024-03-31
+KR,Kroger,Net Positivity,CQ12024,2.56,1,2024,2024-03-31
+MKC,McCormick & Company,Net Positivity,CQ12024,1.72,1,2024,2024-03-31
+PEP,PepsiCo,Net Positivity,CQ12024,1.89,1,2024,2024-03-31
+PG,Procter & Gamble,Net Positivity,CQ12024,1.89,1,2024,2024-03-31
+SYY,Sysco,Net Positivity,CQ12024,2.37,1,2024,2024-03-31
+WMT,Walmart,Net Positivity,CQ12024,2.52,1,2024,2024-03-31
+APA,APA Corporation,Net Positivity,CQ12024,0.6,1,2024,2024-03-31
+CVX,Chevron Corporation,Net Positivity,CQ12024,,1,2024,2024-03-31
+CTRA,Coterra Energy,Net Positivity,CQ12024,1.48,1,2024,2024-03-31
+EOG,EOG Resources,Net Positivity,CQ12024,1.53,1,2024,2024-03-31
+XOM,ExxonMobil,Net Positivity,CQ12024,1.71,1,2024,2024-03-31
+HAL,Halliburton,Net Positivity,CQ12024,1.76,1,2024,2024-03-31
+OXY,Occidental Petroleum,Net Positivity,CQ12024,1.35,1,2024,2024-03-31
+SLB,Schlumberger,Net Positivity,CQ12024,2.04,1,2024,2024-03-31
+VLO,Valero Energy,Net Positivity,CQ12024,0.57,1,2024,2024-03-31
+AFL,Aflac,Net Positivity,CQ12024,1.14,1,2024,2024-03-31
+ALL,Allstate,Net Positivity,CQ12024,0.33,1,2024,2024-03-31
+AXP,American Express,Net Positivity,CQ12024,1.57,1,2024,2024-03-31
+AIG,American International Group,Net Positivity,CQ12024,0.28,1,2024,2024-03-31
+AMP,Ameriprise Financial,Net Positivity,CQ12024,1.81,1,2024,2024-03-31
+AON,Aon plc,Net Positivity,CQ12024,1.5,1,2024,2024-03-31
+BK,BNY Mellon,Net Positivity,CQ12024,1.92,1,2024,2024-03-31
+BAC,Bank of America,Net Positivity,CQ12024,0.86,1,2024,2024-03-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ12024,,1,2024,2024-03-31
+BLK,BlackRock,Net Positivity,CQ12024,1.83,1,2024,2024-03-31
+CME,CME Group,Net Positivity,CQ12024,0.94,1,2024,2024-03-31
+SCHW,Charles Schwab,Net Positivity,CQ12024,,1,2024,2024-03-31
+CB,Chubb Limited,Net Positivity,CQ12024,0.14,1,2024,2024-03-31
+CINF,Cincinnati Financial,Net Positivity,CQ12024,0.2,1,2024,2024-03-31
+C,Citigroup,Net Positivity,CQ12024,0.38,1,2024,2024-03-31
+FIS,Fidelity National Information Services,Net Positivity,CQ12024,1.34,1,2024,2024-03-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ12024,0.77,1,2024,2024-03-31
+FISV,Fiserv,Net Positivity,CQ12024,1.56,1,2024,2024-03-31
+GS,Goldman Sachs,Net Positivity,CQ12024,1.52,1,2024,2024-03-31
+HIG,Hartford Financial,Net Positivity,CQ12024,1.53,1,2024,2024-03-31
+ICE,Intercontinental Exchange,Net Positivity,CQ12024,1.05,1,2024,2024-03-31
+IVZ,Invesco,Net Positivity,CQ12024,1.22,1,2024,2024-03-31
+JPM,JPMorgan Chase,Net Positivity,CQ12024,0.31,1,2024,2024-03-31
+KEY,KeyCorp,Net Positivity,CQ12024,0.78,1,2024,2024-03-31
+MA,Mastercard,Net Positivity,CQ12024,0.94,1,2024,2024-03-31
+MET,MetLife,Net Positivity,CQ12024,0.69,1,2024,2024-03-31
+MS,Morgan Stanley,Net Positivity,CQ12024,1.07,1,2024,2024-03-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ12024,1.01,1,2024,2024-03-31
+NTRS,Northern Trust,Net Positivity,CQ12024,0.93,1,2024,2024-03-31
+PNC,PNC Financial Services,Net Positivity,CQ12024,-0.23,1,2024,2024-03-31
+PRU,Prudential Financial,Net Positivity,CQ12024,1.79,1,2024,2024-03-31
+RF,Regions Financial,Net Positivity,CQ12024,-0.03,1,2024,2024-03-31
+SPGI,S&P Global,Net Positivity,CQ12024,1.7,1,2024,2024-03-31
+STT,State Street,Net Positivity,CQ12024,0.92,1,2024,2024-03-31
+TROW,T. Rowe Price,Net Positivity,CQ12024,2.3,1,2024,2024-03-31
+TRV,Travelers Companies,Net Positivity,CQ12024,1.59,1,2024,2024-03-31
+USB,U.S. Bancorp,Net Positivity,CQ12024,0.55,1,2024,2024-03-31
+V,Visa,Net Positivity,CQ12024,1.49,1,2024,2024-03-31
+WFC,Wells Fargo,Net Positivity,CQ12024,0.6,1,2024,2024-03-31
+ABBV,AbbVie,Net Positivity,CQ12024,1.17,1,2024,2024-03-31
+ABT,Abbott Laboratories,Net Positivity,CQ12024,1.95,1,2024,2024-03-31
+A,Agilent Technologies,Net Positivity,CQ12024,1.24,1,2024,2024-03-31
+AMGN,Amgen,Net Positivity,CQ12024,1.1,1,2024,2024-03-31
+BAX,Baxter International,Net Positivity,CQ12024,1.78,1,2024,2024-03-31
+BDX,Becton Dickinson,Net Positivity,CQ12024,2.23,1,2024,2024-03-31
+BIIB,Biogen,Net Positivity,CQ12024,0.48,1,2024,2024-03-31
+BSX,Boston Scientific,Net Positivity,CQ12024,1.2,1,2024,2024-03-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ12024,1.56,1,2024,2024-03-31
+CVS,CVS Health,Net Positivity,CQ12024,1.52,1,2024,2024-03-31
+COR,Cencora,Net Positivity,CQ12024,,1,2024,2024-03-31
+CI,Cigna,Net Positivity,CQ12024,1.86,1,2024,2024-03-31
+DVA,DaVita,Net Positivity,CQ12024,0.47,1,2024,2024-03-31
+DHR,Danaher Corporation,Net Positivity,CQ12024,1.0,1,2024,2024-03-31
+LLY,Eli Lilly,Net Positivity,CQ12024,0.86,1,2024,2024-03-31
+GILD,Gilead Sciences,Net Positivity,CQ12024,0.94,1,2024,2024-03-31
+HUM,Humana,Net Positivity,CQ12024,0.07,1,2024,2024-03-31
+ISRG,Intuitive Surgical,Net Positivity,CQ12024,1.37,1,2024,2024-03-31
+JNJ,Johnson & Johnson,Net Positivity,CQ12024,2.06,1,2024,2024-03-31
+LH,Labcorp,Net Positivity,CQ12024,1.66,1,2024,2024-03-31
+MCK,McKesson Corporation,Net Positivity,CQ12024,1.52,1,2024,2024-03-31
+MDT,Medtronic,Net Positivity,CQ12024,1.64,1,2024,2024-03-31
+MRK,Merck & Co.,Net Positivity,CQ12024,1.87,1,2024,2024-03-31
+PFE,Pfizer,Net Positivity,CQ12024,1.17,1,2024,2024-03-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ12024,2.3,1,2024,2024-03-31
+WAT,Waters Corporation,Net Positivity,CQ12024,0.11,1,2024,2024-03-31
+ZBH,Zimmer Biomet,Net Positivity,CQ12024,1.04,1,2024,2024-03-31
+MMM,3M,Net Positivity,CQ12024,0.87,1,2024,2024-03-31
+AME,Ametek,Net Positivity,CQ12024,1.99,1,2024,2024-03-31
+ADP,Automatic Data Processing,Net Positivity,CQ12024,1.57,1,2024,2024-03-31
+BA,Boeing,Net Positivity,CQ12024,0.78,1,2024,2024-03-31
+CSX,CSX Corporation,Net Positivity,CQ12024,2.19,1,2024,2024-03-31
+CAT,Caterpillar Inc.,Net Positivity,CQ12024,1.59,1,2024,2024-03-31
+CTAS,Cintas,Net Positivity,CQ12024,2.35,1,2024,2024-03-31
+CMI,Cummins,Net Positivity,CQ12024,0.82,1,2024,2024-03-31
+DE,Deere & Company,Net Positivity,CQ12024,1.73,1,2024,2024-03-31
+ETN,Eaton Corporation,Net Positivity,CQ12024,1.15,1,2024,2024-03-31
+EMR,Emerson Electric,Net Positivity,CQ12024,1.69,1,2024,2024-03-31
+EFX,Equifax,Net Positivity,CQ12024,0.7,1,2024,2024-03-31
+EXPD,Expeditors International,Net Positivity,CQ12024,,1,2024,2024-03-31
+FDX,FedEx,Net Positivity,CQ12024,2.07,1,2024,2024-03-31
+GE,GE Aerospace,Net Positivity,CQ12024,1.73,1,2024,2024-03-31
+GD,General Dynamics,Net Positivity,CQ12024,1.24,1,2024,2024-03-31
+ITW,Illinois Tool Works,Net Positivity,CQ12024,1.19,1,2024,2024-03-31
+LMT,Lockheed Martin,Net Positivity,CQ12024,0.57,1,2024,2024-03-31
+NSC,Norfolk Southern,Net Positivity,CQ12024,1.07,1,2024,2024-03-31
+NOC,Northrop Grumman,Net Positivity,CQ12024,1.11,1,2024,2024-03-31
+PCAR,Paccar,Net Positivity,CQ12024,1.84,1,2024,2024-03-31
+RTX,RTX Corporation,Net Positivity,CQ12024,0.97,1,2024,2024-03-31
+ROK,Rockwell Automation,Net Positivity,CQ12024,0.66,1,2024,2024-03-31
+ROP,Roper Technologies,Net Positivity,CQ12024,1.66,1,2024,2024-03-31
+SNA,Snap-on,Net Positivity,CQ12024,0.74,1,2024,2024-03-31
+SWK,Stanley Black & Decker,Net Positivity,CQ12024,2.06,1,2024,2024-03-31
+UPS,United Parcel Service,Net Positivity,CQ12024,0.74,1,2024,2024-03-31
+WM,Waste Management,Net Positivity,CQ12024,1.9,1,2024,2024-03-31
+ACN,Accenture,Net Positivity,CQ12024,0.99,1,2024,2024-03-31
+ADBE,Adobe Inc.,Net Positivity,CQ12024,2.38,1,2024,2024-03-31
+AKAM,Akamai Technologies,Net Positivity,CQ12024,1.12,1,2024,2024-03-31
+APH,Amphenol,Net Positivity,CQ12024,1.28,1,2024,2024-03-31
+ADI,Analog Devices,Net Positivity,CQ12024,0.43,1,2024,2024-03-31
+AAPL,Apple Inc.,Net Positivity,CQ12024,1.7,1,2024,2024-03-31
+AMAT,Applied Materials,Net Positivity,CQ12024,2.31,1,2024,2024-03-31
+ADSK,Autodesk,Net Positivity,CQ12024,0.76,1,2024,2024-03-31
+AVGO,Broadcom,Net Positivity,CQ12024,0.47,1,2024,2024-03-31
+CSCO,Cisco,Net Positivity,CQ12024,0.64,1,2024,2024-03-31
+CTSH,Cognizant,Net Positivity,CQ12024,1.28,1,2024,2024-03-31
+HPQ,HP Inc.,Net Positivity,CQ12024,1.48,1,2024,2024-03-31
+IBM,IBM,Net Positivity,CQ12024,1.4,1,2024,2024-03-31
+INTC,Intel,Net Positivity,CQ12024,2.26,1,2024,2024-03-31
+INTU,Intuit,Net Positivity,CQ12024,1.7,1,2024,2024-03-31
+LRCX,Lam Research,Net Positivity,CQ12024,1.17,1,2024,2024-03-31
+MU,Micron Technology,Net Positivity,CQ12024,1.46,1,2024,2024-03-31
+MSFT,Microsoft,Net Positivity,CQ12024,1.05,1,2024,2024-03-31
+MSI,Motorola Solutions,Net Positivity,CQ12024,1.61,1,2024,2024-03-31
+NTAP,NetApp,Net Positivity,CQ12024,1.82,1,2024,2024-03-31
+NVDA,Nvidia,Net Positivity,CQ12024,1.42,1,2024,2024-03-31
+ORCL,Oracle Corporation,Net Positivity,CQ12024,0.9,1,2024,2024-03-31
+TXN,Texas Instruments,Net Positivity,CQ12024,0.13,1,2024,2024-03-31
+APD,Air Products,Net Positivity,CQ12024,0.58,1,2024,2024-03-31
+AVY,Avery Dennison,Net Positivity,CQ12024,1.29,1,2024,2024-03-31
+ECL,Ecolab,Net Positivity,CQ12024,2.01,1,2024,2024-03-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ12024,2.51,1,2024,2024-03-31
+IP,International Paper,Net Positivity,CQ12024,1.17,1,2024,2024-03-31
+LIN,Linde plc,Net Positivity,CQ12024,0.69,1,2024,2024-03-31
+NEM,Newmont,Net Positivity,CQ12024,0.99,1,2024,2024-03-31
+NUE,Nucor,Net Positivity,CQ12024,1.11,1,2024,2024-03-31
+AMT,American Tower,Net Positivity,CQ12024,0.93,1,2024,2024-03-31
+AVB,AvalonBay Communities,Net Positivity,CQ12024,0.59,1,2024,2024-03-31
+EQR,Equity Residential,Net Positivity,CQ12024,0.75,1,2024,2024-03-31
+DOC,Healthpeak Properties,Net Positivity,CQ12024,0.91,1,2024,2024-03-31
+IRM,Iron Mountain,Net Positivity,CQ12024,1.82,1,2024,2024-03-31
+PLD,Prologis,Net Positivity,CQ12024,0.9,1,2024,2024-03-31
+VTR,Ventas,Net Positivity,CQ12024,2.24,1,2024,2024-03-31
+WY,Weyerhaeuser,Net Positivity,CQ12024,1.03,1,2024,2024-03-31
+AES,AES Corporation,Net Positivity,CQ12024,0.98,1,2024,2024-03-31
+AEE,Ameren,Net Positivity,CQ12024,1.59,1,2024,2024-03-31
+AEP,American Electric Power,Net Positivity,CQ12024,1.35,1,2024,2024-03-31
+CMS,CMS Energy,Net Positivity,CQ12024,1.46,1,2024,2024-03-31
+CNP,CenterPoint Energy,Net Positivity,CQ12024,1.48,1,2024,2024-03-31
+DUK,Duke Energy,Net Positivity,CQ12024,1.56,1,2024,2024-03-31
+EIX,Edison International,Net Positivity,CQ12024,0.71,1,2024,2024-03-31
+ETR,Entergy,Net Positivity,CQ12024,1.24,1,2024,2024-03-31
+EXC,Exelon,Net Positivity,CQ12024,1.22,1,2024,2024-03-31
+NEE,NextEra Energy,Net Positivity,CQ12024,1.16,1,2024,2024-03-31
+SO,Southern Company,Net Positivity,CQ12024,1.12,1,2024,2024-03-31
+XEL,Xcel Energy,Net Positivity,CQ12024,0.82,1,2024,2024-03-31
+T,AT&T,Numeric Transeprency,CQ12024,2.21,1,2024,2024-03-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ12024,1.91,1,2024,2024-03-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ12024,,1,2024,2024-03-31
+META,Meta Platforms,Numeric Transeprency,CQ12024,1.62,1,2024,2024-03-31
+NFLX,Netflix,Numeric Transeprency,CQ12024,0.98,1,2024,2024-03-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ12024,3.0,1,2024,2024-03-31
+OMC,Omnicom Group,Numeric Transeprency,CQ12024,2.5,1,2024,2024-03-31
+VZ,Verizon,Numeric Transeprency,CQ12024,2.43,1,2024,2024-03-31
+AMZN,Amazon,Numeric Transeprency,CQ12024,1.79,1,2024,2024-03-31
+AZO,AutoZone,Numeric Transeprency,CQ12024,1.98,1,2024,2024-03-31
+BBY,Best Buy,Numeric Transeprency,CQ12024,1.74,1,2024,2024-03-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ12024,2.93,1,2024,2024-03-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ12024,2.65,1,2024,2024-03-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ12024,2.11,1,2024,2024-03-31
+F,Ford Motor Company,Numeric Transeprency,CQ12024,2.58,1,2024,2024-03-31
+GM,General Motors,Numeric Transeprency,CQ12024,2.91,1,2024,2024-03-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ12024,3.56,1,2024,2024-03-31
+HAS,Hasbro,Numeric Transeprency,CQ12024,2.98,1,2024,2024-03-31
+LOW,Lowe's,Numeric Transeprency,CQ12024,1.79,1,2024,2024-03-31
+MCD,McDonald's,Numeric Transeprency,CQ12024,1.93,1,2024,2024-03-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ12024,1.44,1,2024,2024-03-31
+ROST,Ross Stores,Numeric Transeprency,CQ12024,3.22,1,2024,2024-03-31
+TJX,TJX Companies,Numeric Transeprency,CQ12024,2.42,1,2024,2024-03-31
+TGT,Target,Numeric Transeprency,CQ12024,1.59,1,2024,2024-03-31
+MO,Altria,Numeric Transeprency,CQ12024,1.95,1,2024,2024-03-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ12024,2.81,1,2024,2024-03-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ12024,2.06,1,2024,2024-03-31
+CLX,Clorox,Numeric Transeprency,CQ12024,1.02,1,2024,2024-03-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ12024,2.76,1,2024,2024-03-31
+COST,Costco,Numeric Transeprency,CQ12024,3.61,1,2024,2024-03-31
+GIS,General Mills,Numeric Transeprency,CQ12024,0.58,1,2024,2024-03-31
+HSY,Hershey Company,Numeric Transeprency,CQ12024,0.96,1,2024,2024-03-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ12024,1.33,1,2024,2024-03-31
+KR,Kroger,Numeric Transeprency,CQ12024,1.89,1,2024,2024-03-31
+MKC,McCormick & Company,Numeric Transeprency,CQ12024,1.49,1,2024,2024-03-31
+PEP,PepsiCo,Numeric Transeprency,CQ12024,0.97,1,2024,2024-03-31
+PG,Procter & Gamble,Numeric Transeprency,CQ12024,1.82,1,2024,2024-03-31
+SYY,Sysco,Numeric Transeprency,CQ12024,1.56,1,2024,2024-03-31
+WMT,Walmart,Numeric Transeprency,CQ12024,2.19,1,2024,2024-03-31
+APA,APA Corporation,Numeric Transeprency,CQ12024,2.27,1,2024,2024-03-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ12024,,1,2024,2024-03-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ12024,3.53,1,2024,2024-03-31
+EOG,EOG Resources,Numeric Transeprency,CQ12024,2.39,1,2024,2024-03-31
+XOM,ExxonMobil,Numeric Transeprency,CQ12024,1.24,1,2024,2024-03-31
+HAL,Halliburton,Numeric Transeprency,CQ12024,2.47,1,2024,2024-03-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ12024,2.5,1,2024,2024-03-31
+SLB,Schlumberger,Numeric Transeprency,CQ12024,2.47,1,2024,2024-03-31
+VLO,Valero Energy,Numeric Transeprency,CQ12024,2.6,1,2024,2024-03-31
+AFL,Aflac,Numeric Transeprency,CQ12024,2.78,1,2024,2024-03-31
+ALL,Allstate,Numeric Transeprency,CQ12024,2.56,1,2024,2024-03-31
+AXP,American Express,Numeric Transeprency,CQ12024,2.44,1,2024,2024-03-31
+AIG,American International Group,Numeric Transeprency,CQ12024,5.01,1,2024,2024-03-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ12024,3.09,1,2024,2024-03-31
+AON,Aon plc,Numeric Transeprency,CQ12024,2.2,1,2024,2024-03-31
+BK,BNY Mellon,Numeric Transeprency,CQ12024,2.92,1,2024,2024-03-31
+BAC,Bank of America,Numeric Transeprency,CQ12024,4.08,1,2024,2024-03-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ12024,,1,2024,2024-03-31
+BLK,BlackRock,Numeric Transeprency,CQ12024,2.5,1,2024,2024-03-31
+CME,CME Group,Numeric Transeprency,CQ12024,2.36,1,2024,2024-03-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ12024,,1,2024,2024-03-31
+CB,Chubb Limited,Numeric Transeprency,CQ12024,2.84,1,2024,2024-03-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ12024,4.04,1,2024,2024-03-31
+C,Citigroup,Numeric Transeprency,CQ12024,3.19,1,2024,2024-03-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ12024,4.54,1,2024,2024-03-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ12024,3.46,1,2024,2024-03-31
+FISV,Fiserv,Numeric Transeprency,CQ12024,3.67,1,2024,2024-03-31
+GS,Goldman Sachs,Numeric Transeprency,CQ12024,2.68,1,2024,2024-03-31
+HIG,Hartford Financial,Numeric Transeprency,CQ12024,3.66,1,2024,2024-03-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ12024,2.41,1,2024,2024-03-31
+IVZ,Invesco,Numeric Transeprency,CQ12024,2.38,1,2024,2024-03-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ12024,3.13,1,2024,2024-03-31
+KEY,KeyCorp,Numeric Transeprency,CQ12024,3.22,1,2024,2024-03-31
+MA,Mastercard,Numeric Transeprency,CQ12024,1.49,1,2024,2024-03-31
+MET,MetLife,Numeric Transeprency,CQ12024,4.49,1,2024,2024-03-31
+MS,Morgan Stanley,Numeric Transeprency,CQ12024,2.19,1,2024,2024-03-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ12024,3.13,1,2024,2024-03-31
+NTRS,Northern Trust,Numeric Transeprency,CQ12024,2.69,1,2024,2024-03-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ12024,3.12,1,2024,2024-03-31
+PRU,Prudential Financial,Numeric Transeprency,CQ12024,2.1,1,2024,2024-03-31
+RF,Regions Financial,Numeric Transeprency,CQ12024,2.45,1,2024,2024-03-31
+SPGI,S&P Global,Numeric Transeprency,CQ12024,2.9,1,2024,2024-03-31
+STT,State Street,Numeric Transeprency,CQ12024,2.4,1,2024,2024-03-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ12024,2.65,1,2024,2024-03-31
+TRV,Travelers Companies,Numeric Transeprency,CQ12024,2.56,1,2024,2024-03-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ12024,2.32,1,2024,2024-03-31
+V,Visa,Numeric Transeprency,CQ12024,2.23,1,2024,2024-03-31
+WFC,Wells Fargo,Numeric Transeprency,CQ12024,2.14,1,2024,2024-03-31
+ABBV,AbbVie,Numeric Transeprency,CQ12024,2.37,1,2024,2024-03-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ12024,2.24,1,2024,2024-03-31
+A,Agilent Technologies,Numeric Transeprency,CQ12024,1.23,1,2024,2024-03-31
+AMGN,Amgen,Numeric Transeprency,CQ12024,3.46,1,2024,2024-03-31
+BAX,Baxter International,Numeric Transeprency,CQ12024,2.84,1,2024,2024-03-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ12024,2.22,1,2024,2024-03-31
+BIIB,Biogen,Numeric Transeprency,CQ12024,1.96,1,2024,2024-03-31
+BSX,Boston Scientific,Numeric Transeprency,CQ12024,5.17,1,2024,2024-03-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ12024,1.83,1,2024,2024-03-31
+CVS,CVS Health,Numeric Transeprency,CQ12024,2.61,1,2024,2024-03-31
+COR,Cencora,Numeric Transeprency,CQ12024,,1,2024,2024-03-31
+CI,Cigna,Numeric Transeprency,CQ12024,2.47,1,2024,2024-03-31
+DVA,DaVita,Numeric Transeprency,CQ12024,3.71,1,2024,2024-03-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ12024,1.74,1,2024,2024-03-31
+LLY,Eli Lilly,Numeric Transeprency,CQ12024,2.18,1,2024,2024-03-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ12024,3.93,1,2024,2024-03-31
+HUM,Humana,Numeric Transeprency,CQ12024,1.53,1,2024,2024-03-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ12024,3.76,1,2024,2024-03-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ12024,3.61,1,2024,2024-03-31
+LH,Labcorp,Numeric Transeprency,CQ12024,2.66,1,2024,2024-03-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ12024,2.77,1,2024,2024-03-31
+MDT,Medtronic,Numeric Transeprency,CQ12024,1.24,1,2024,2024-03-31
+MRK,Merck & Co.,Numeric Transeprency,CQ12024,1.81,1,2024,2024-03-31
+PFE,Pfizer,Numeric Transeprency,CQ12024,2.03,1,2024,2024-03-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ12024,3.29,1,2024,2024-03-31
+WAT,Waters Corporation,Numeric Transeprency,CQ12024,3.76,1,2024,2024-03-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ12024,3.71,1,2024,2024-03-31
+MMM,3M,Numeric Transeprency,CQ12024,3.73,1,2024,2024-03-31
+AME,Ametek,Numeric Transeprency,CQ12024,3.34,1,2024,2024-03-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ12024,1.12,1,2024,2024-03-31
+BA,Boeing,Numeric Transeprency,CQ12024,2.83,1,2024,2024-03-31
+CSX,CSX Corporation,Numeric Transeprency,CQ12024,1.85,1,2024,2024-03-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ12024,3.49,1,2024,2024-03-31
+CTAS,Cintas,Numeric Transeprency,CQ12024,1.72,1,2024,2024-03-31
+CMI,Cummins,Numeric Transeprency,CQ12024,4.35,1,2024,2024-03-31
+DE,Deere & Company,Numeric Transeprency,CQ12024,1.62,1,2024,2024-03-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ12024,3.29,1,2024,2024-03-31
+EMR,Emerson Electric,Numeric Transeprency,CQ12024,2.65,1,2024,2024-03-31
+EFX,Equifax,Numeric Transeprency,CQ12024,5.34,1,2024,2024-03-31
+EXPD,Expeditors International,Numeric Transeprency,CQ12024,,1,2024,2024-03-31
+FDX,FedEx,Numeric Transeprency,CQ12024,1.92,1,2024,2024-03-31
+GE,GE Aerospace,Numeric Transeprency,CQ12024,4.14,1,2024,2024-03-31
+GD,General Dynamics,Numeric Transeprency,CQ12024,3.84,1,2024,2024-03-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ12024,4.36,1,2024,2024-03-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ12024,3.04,1,2024,2024-03-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ12024,1.99,1,2024,2024-03-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ12024,2.78,1,2024,2024-03-31
+PCAR,Paccar,Numeric Transeprency,CQ12024,2.36,1,2024,2024-03-31
+RTX,RTX Corporation,Numeric Transeprency,CQ12024,3.75,1,2024,2024-03-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ12024,2.43,1,2024,2024-03-31
+ROP,Roper Technologies,Numeric Transeprency,CQ12024,2.98,1,2024,2024-03-31
+SNA,Snap-on,Numeric Transeprency,CQ12024,3.48,1,2024,2024-03-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ12024,3.11,1,2024,2024-03-31
+UPS,United Parcel Service,Numeric Transeprency,CQ12024,3.72,1,2024,2024-03-31
+WM,Waste Management,Numeric Transeprency,CQ12024,2.85,1,2024,2024-03-31
+ACN,Accenture,Numeric Transeprency,CQ12024,2.16,1,2024,2024-03-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ12024,1.56,1,2024,2024-03-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ12024,2.12,1,2024,2024-03-31
+APH,Amphenol,Numeric Transeprency,CQ12024,3.42,1,2024,2024-03-31
+ADI,Analog Devices,Numeric Transeprency,CQ12024,2.08,1,2024,2024-03-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ12024,2.63,1,2024,2024-03-31
+AMAT,Applied Materials,Numeric Transeprency,CQ12024,2.65,1,2024,2024-03-31
+ADSK,Autodesk,Numeric Transeprency,CQ12024,2.28,1,2024,2024-03-31
+AVGO,Broadcom,Numeric Transeprency,CQ12024,3.33,1,2024,2024-03-31
+CSCO,Cisco,Numeric Transeprency,CQ12024,2.26,1,2024,2024-03-31
+CTSH,Cognizant,Numeric Transeprency,CQ12024,2.71,1,2024,2024-03-31
+HPQ,HP Inc.,Numeric Transeprency,CQ12024,2.41,1,2024,2024-03-31
+IBM,IBM,Numeric Transeprency,CQ12024,3.3,1,2024,2024-03-31
+INTC,Intel,Numeric Transeprency,CQ12024,2.82,1,2024,2024-03-31
+INTU,Intuit,Numeric Transeprency,CQ12024,1.55,1,2024,2024-03-31
+LRCX,Lam Research,Numeric Transeprency,CQ12024,1.83,1,2024,2024-03-31
+MU,Micron Technology,Numeric Transeprency,CQ12024,1.44,1,2024,2024-03-31
+MSFT,Microsoft,Numeric Transeprency,CQ12024,3.22,1,2024,2024-03-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ12024,3.65,1,2024,2024-03-31
+NTAP,NetApp,Numeric Transeprency,CQ12024,1.93,1,2024,2024-03-31
+NVDA,Nvidia,Numeric Transeprency,CQ12024,1.48,1,2024,2024-03-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ12024,2.24,1,2024,2024-03-31
+TXN,Texas Instruments,Numeric Transeprency,CQ12024,2.58,1,2024,2024-03-31
+APD,Air Products,Numeric Transeprency,CQ12024,2.03,1,2024,2024-03-31
+AVY,Avery Dennison,Numeric Transeprency,CQ12024,2.77,1,2024,2024-03-31
+ECL,Ecolab,Numeric Transeprency,CQ12024,1.83,1,2024,2024-03-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ12024,2.4,1,2024,2024-03-31
+IP,International Paper,Numeric Transeprency,CQ12024,1.49,1,2024,2024-03-31
+LIN,Linde plc,Numeric Transeprency,CQ12024,2.01,1,2024,2024-03-31
+NEM,Newmont,Numeric Transeprency,CQ12024,2.94,1,2024,2024-03-31
+NUE,Nucor,Numeric Transeprency,CQ12024,2.21,1,2024,2024-03-31
+AMT,American Tower,Numeric Transeprency,CQ12024,2.91,1,2024,2024-03-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ12024,3.14,1,2024,2024-03-31
+EQR,Equity Residential,Numeric Transeprency,CQ12024,1.85,1,2024,2024-03-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ12024,3.26,1,2024,2024-03-31
+IRM,Iron Mountain,Numeric Transeprency,CQ12024,2.9,1,2024,2024-03-31
+PLD,Prologis,Numeric Transeprency,CQ12024,2.84,1,2024,2024-03-31
+VTR,Ventas,Numeric Transeprency,CQ12024,3.19,1,2024,2024-03-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ12024,2.51,1,2024,2024-03-31
+AES,AES Corporation,Numeric Transeprency,CQ12024,3.87,1,2024,2024-03-31
+AEE,Ameren,Numeric Transeprency,CQ12024,3.12,1,2024,2024-03-31
+AEP,American Electric Power,Numeric Transeprency,CQ12024,2.77,1,2024,2024-03-31
+CMS,CMS Energy,Numeric Transeprency,CQ12024,2.51,1,2024,2024-03-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ12024,2.82,1,2024,2024-03-31
+DUK,Duke Energy,Numeric Transeprency,CQ12024,3.31,1,2024,2024-03-31
+EIX,Edison International,Numeric Transeprency,CQ12024,3.58,1,2024,2024-03-31
+ETR,Entergy,Numeric Transeprency,CQ12024,2.84,1,2024,2024-03-31
+EXC,Exelon,Numeric Transeprency,CQ12024,3.26,1,2024,2024-03-31
+NEE,NextEra Energy,Numeric Transeprency,CQ12024,3.46,1,2024,2024-03-31
+SO,Southern Company,Numeric Transeprency,CQ12024,2.28,1,2024,2024-03-31
+XEL,Xcel Energy,Numeric Transeprency,CQ12024,2.92,1,2024,2024-03-31
+T,AT&T,Analyst Selectivity Ratio,CQ12024,22.73,1,2024,2024-03-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ12024,10.2,1,2024,2024-03-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ12024,,1,2024,2024-03-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ12024,9.8,1,2024,2024-03-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ12024,0.0,1,2024,2024-03-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ12024,50.0,1,2024,2024-03-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ12024,46.15,1,2024,2024-03-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ12024,37.5,1,2024,2024-03-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ12024,12.5,1,2024,2024-03-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ12024,25.0,1,2024,2024-03-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ12024,22.22,1,2024,2024-03-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ12024,26.67,1,2024,2024-03-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ12024,48.0,1,2024,2024-03-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ12024,30.0,1,2024,2024-03-31
+GM,General Motors,Analyst Selectivity Ratio,CQ12024,40.0,1,2024,2024-03-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ12024,42.86,1,2024,2024-03-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ12024,50.0,1,2024,2024-03-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ12024,17.65,1,2024,2024-03-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ12024,29.03,1,2024,2024-03-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ12024,8.11,1,2024,2024-03-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ12024,65.0,1,2024,2024-03-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ12024,18.18,1,2024,2024-03-31
+TGT,Target,Analyst Selectivity Ratio,CQ12024,26.47,1,2024,2024-03-31
+MO,Altria,Analyst Selectivity Ratio,CQ12024,27.27,1,2024,2024-03-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ12024,46.15,1,2024,2024-03-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ12024,23.53,1,2024,2024-03-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ12024,47.06,1,2024,2024-03-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ12024,55.0,1,2024,2024-03-31
+COST,Costco,Analyst Selectivity Ratio,CQ12024,34.29,1,2024,2024-03-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ12024,41.18,1,2024,2024-03-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ12024,47.62,1,2024,2024-03-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ12024,35.29,1,2024,2024-03-31
+KR,Kroger,Analyst Selectivity Ratio,CQ12024,42.86,1,2024,2024-03-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ12024,42.86,1,2024,2024-03-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ12024,47.37,1,2024,2024-03-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ12024,47.62,1,2024,2024-03-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ12024,52.94,1,2024,2024-03-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ12024,20.51,1,2024,2024-03-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ12024,23.08,1,2024,2024-03-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ12024,,1,2024,2024-03-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ12024,26.09,1,2024,2024-03-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ12024,30.77,1,2024,2024-03-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ12024,38.89,1,2024,2024-03-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ12024,37.04,1,2024,2024-03-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ12024,29.63,1,2024,2024-03-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ12024,52.94,1,2024,2024-03-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ12024,58.33,1,2024,2024-03-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ12024,25.0,1,2024,2024-03-31
+AXP,American Express,Analyst Selectivity Ratio,CQ12024,40.0,1,2024,2024-03-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ12024,29.41,1,2024,2024-03-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ12024,61.54,1,2024,2024-03-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ12024,28.57,1,2024,2024-03-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ12024,41.18,1,2024,2024-03-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ12024,25.0,1,2024,2024-03-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ12024,,1,2024,2024-03-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+CME,CME Group,Analyst Selectivity Ratio,CQ12024,66.67,1,2024,2024-03-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ12024,,1,2024,2024-03-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ12024,31.82,1,2024,2024-03-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ12024,50.0,1,2024,2024-03-31
+C,Citigroup,Analyst Selectivity Ratio,CQ12024,41.67,1,2024,2024-03-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ12024,26.09,1,2024,2024-03-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ12024,31.82,1,2024,2024-03-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ12024,21.21,1,2024,2024-03-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ12024,44.44,1,2024,2024-03-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ12024,31.25,1,2024,2024-03-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ12024,50.0,1,2024,2024-03-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ12024,29.17,1,2024,2024-03-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ12024,40.91,1,2024,2024-03-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ12024,23.53,1,2024,2024-03-31
+MET,MetLife,Analyst Selectivity Ratio,CQ12024,46.15,1,2024,2024-03-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ12024,24.0,1,2024,2024-03-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ12024,61.54,1,2024,2024-03-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ12024,46.67,1,2024,2024-03-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ12024,41.67,1,2024,2024-03-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ12024,72.73,1,2024,2024-03-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ12024,36.0,1,2024,2024-03-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ12024,45.0,1,2024,2024-03-31
+STT,State Street,Analyst Selectivity Ratio,CQ12024,58.82,1,2024,2024-03-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ12024,46.15,1,2024,2024-03-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ12024,40.91,1,2024,2024-03-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+V,Visa,Analyst Selectivity Ratio,CQ12024,23.53,1,2024,2024-03-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ12024,29.17,1,2024,2024-03-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ12024,38.46,1,2024,2024-03-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ12024,35.0,1,2024,2024-03-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ12024,62.5,1,2024,2024-03-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ12024,39.13,1,2024,2024-03-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ12024,23.08,1,2024,2024-03-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ12024,18.52,1,2024,2024-03-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ12024,28.57,1,2024,2024-03-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ12024,41.67,1,2024,2024-03-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ12024,39.13,1,2024,2024-03-31
+COR,Cencora,Analyst Selectivity Ratio,CQ12024,,1,2024,2024-03-31
+CI,Cigna,Analyst Selectivity Ratio,CQ12024,42.11,1,2024,2024-03-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ12024,28.57,1,2024,2024-03-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ12024,26.09,1,2024,2024-03-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ12024,60.87,1,2024,2024-03-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ12024,23.08,1,2024,2024-03-31
+HUM,Humana,Analyst Selectivity Ratio,CQ12024,70.59,1,2024,2024-03-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ12024,21.43,1,2024,2024-03-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ12024,52.63,1,2024,2024-03-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ12024,36.36,1,2024,2024-03-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ12024,50.0,1,2024,2024-03-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ12024,21.43,1,2024,2024-03-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ12024,52.17,1,2024,2024-03-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ12024,68.42,1,2024,2024-03-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ12024,22.73,1,2024,2024-03-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+MMM,3M,Analyst Selectivity Ratio,CQ12024,43.75,1,2024,2024-03-31
+AME,Ametek,Analyst Selectivity Ratio,CQ12024,75.0,1,2024,2024-03-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ12024,55.56,1,2024,2024-03-31
+BA,Boeing,Analyst Selectivity Ratio,CQ12024,30.43,1,2024,2024-03-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ12024,44.0,1,2024,2024-03-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ12024,34.62,1,2024,2024-03-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ12024,47.06,1,2024,2024-03-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ12024,26.92,1,2024,2024-03-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ12024,27.78,1,2024,2024-03-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ12024,36.36,1,2024,2024-03-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ12024,28.57,1,2024,2024-03-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ12024,,1,2024,2024-03-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ12024,46.43,1,2024,2024-03-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ12024,40.0,1,2024,2024-03-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ12024,52.94,1,2024,2024-03-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ12024,35.29,1,2024,2024-03-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ12024,23.81,1,2024,2024-03-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ12024,57.69,1,2024,2024-03-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ12024,50.0,1,2024,2024-03-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ12024,50.0,1,2024,2024-03-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ12024,35.0,1,2024,2024-03-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ12024,31.82,1,2024,2024-03-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ12024,41.18,1,2024,2024-03-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ12024,37.5,1,2024,2024-03-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ12024,40.0,1,2024,2024-03-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ12024,31.03,1,2024,2024-03-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ12024,45.0,1,2024,2024-03-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ12024,26.92,1,2024,2024-03-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ12024,23.53,1,2024,2024-03-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ12024,54.55,1,2024,2024-03-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ12024,64.29,1,2024,2024-03-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ12024,26.92,1,2024,2024-03-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ12024,17.07,1,2024,2024-03-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ12024,48.15,1,2024,2024-03-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ12024,32.26,1,2024,2024-03-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ12024,38.46,1,2024,2024-03-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ12024,18.52,1,2024,2024-03-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+IBM,IBM,Analyst Selectivity Ratio,CQ12024,35.29,1,2024,2024-03-31
+INTC,Intel,Analyst Selectivity Ratio,CQ12024,10.53,1,2024,2024-03-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ12024,43.48,1,2024,2024-03-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ12024,38.46,1,2024,2024-03-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ12024,20.0,1,2024,2024-03-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ12024,10.42,1,2024,2024-03-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ12024,60.0,1,2024,2024-03-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ12024,22.22,1,2024,2024-03-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ12024,10.42,1,2024,2024-03-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ12024,19.35,1,2024,2024-03-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ12024,29.63,1,2024,2024-03-31
+APD,Air Products,Analyst Selectivity Ratio,CQ12024,61.11,1,2024,2024-03-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ12024,63.64,1,2024,2024-03-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ12024,60.0,1,2024,2024-03-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ12024,52.94,1,2024,2024-03-31
+IP,International Paper,Analyst Selectivity Ratio,CQ12024,60.0,1,2024,2024-03-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ12024,50.0,1,2024,2024-03-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ12024,13.33,1,2024,2024-03-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ12024,45.45,1,2024,2024-03-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ12024,55.56,1,2024,2024-03-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ12024,55.56,1,2024,2024-03-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ12024,50.0,1,2024,2024-03-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ12024,60.0,1,2024,2024-03-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ12024,80.0,1,2024,2024-03-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ12024,63.64,1,2024,2024-03-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ12024,35.71,1,2024,2024-03-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ12024,38.46,1,2024,2024-03-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ12024,33.33,1,2024,2024-03-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ12024,56.25,1,2024,2024-03-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ12024,29.41,1,2024,2024-03-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ12024,36.84,1,2024,2024-03-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ12024,52.94,1,2024,2024-03-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ12024,15.79,1,2024,2024-03-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ12024,22.22,1,2024,2024-03-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ12024,20.0,1,2024,2024-03-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ12024,60.0,1,2024,2024-03-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ12024,50.0,1,2024,2024-03-31
+T,AT&T,Language Complexity,CQ12024,12.64,1,2024,2024-03-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ12024,12.89,1,2024,2024-03-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ12024,,1,2024,2024-03-31
+META,Meta Platforms,Language Complexity,CQ12024,13.42,1,2024,2024-03-31
+NFLX,Netflix,Language Complexity,CQ12024,10.31,1,2024,2024-03-31
+NWSA,News Corp (Class A),Language Complexity,CQ12024,14.7,1,2024,2024-03-31
+OMC,Omnicom Group,Language Complexity,CQ12024,13.43,1,2024,2024-03-31
+VZ,Verizon,Language Complexity,CQ12024,11.51,1,2024,2024-03-31
+AMZN,Amazon,Language Complexity,CQ12024,14.25,1,2024,2024-03-31
+AZO,AutoZone,Language Complexity,CQ12024,11.69,1,2024,2024-03-31
+BBY,Best Buy,Language Complexity,CQ12024,14.33,1,2024,2024-03-31
+BKNG,Booking Holdings,Language Complexity,CQ12024,13.08,1,2024,2024-03-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ12024,11.61,1,2024,2024-03-31
+DRI,Darden Restaurants,Language Complexity,CQ12024,11.16,1,2024,2024-03-31
+F,Ford Motor Company,Language Complexity,CQ12024,11.03,1,2024,2024-03-31
+GM,General Motors,Language Complexity,CQ12024,12.53,1,2024,2024-03-31
+GPC,Genuine Parts Company,Language Complexity,CQ12024,13.65,1,2024,2024-03-31
+HAS,Hasbro,Language Complexity,CQ12024,12.65,1,2024,2024-03-31
+LOW,Lowe's,Language Complexity,CQ12024,13.44,1,2024,2024-03-31
+MCD,McDonald's,Language Complexity,CQ12024,14.33,1,2024,2024-03-31
+NKE,"Nike, Inc.",Language Complexity,CQ12024,13.07,1,2024,2024-03-31
+ROST,Ross Stores,Language Complexity,CQ12024,10.86,1,2024,2024-03-31
+TJX,TJX Companies,Language Complexity,CQ12024,11.27,1,2024,2024-03-31
+TGT,Target,Language Complexity,CQ12024,12.65,1,2024,2024-03-31
+MO,Altria,Language Complexity,CQ12024,13.71,1,2024,2024-03-31
+ADM,Archer Daniels Midland,Language Complexity,CQ12024,13.41,1,2024,2024-03-31
+BF.B,Brown-Forman,Language Complexity,CQ12024,13.22,1,2024,2024-03-31
+CLX,Clorox,Language Complexity,CQ12024,11.18,1,2024,2024-03-31
+KO,Coca-Cola Company,Language Complexity,CQ12024,12.76,1,2024,2024-03-31
+COST,Costco,Language Complexity,CQ12024,10.07,1,2024,2024-03-31
+GIS,General Mills,Language Complexity,CQ12024,10.44,1,2024,2024-03-31
+HSY,Hershey Company,Language Complexity,CQ12024,10.65,1,2024,2024-03-31
+KMB,Kimberly-Clark,Language Complexity,CQ12024,10.82,1,2024,2024-03-31
+KR,Kroger,Language Complexity,CQ12024,13.36,1,2024,2024-03-31
+MKC,McCormick & Company,Language Complexity,CQ12024,12.07,1,2024,2024-03-31
+PEP,PepsiCo,Language Complexity,CQ12024,11.59,1,2024,2024-03-31
+PG,Procter & Gamble,Language Complexity,CQ12024,12.99,1,2024,2024-03-31
+SYY,Sysco,Language Complexity,CQ12024,11.99,1,2024,2024-03-31
+WMT,Walmart,Language Complexity,CQ12024,12.14,1,2024,2024-03-31
+APA,APA Corporation,Language Complexity,CQ12024,11.15,1,2024,2024-03-31
+CVX,Chevron Corporation,Language Complexity,CQ12024,,1,2024,2024-03-31
+CTRA,Coterra Energy,Language Complexity,CQ12024,11.44,1,2024,2024-03-31
+EOG,EOG Resources,Language Complexity,CQ12024,13.16,1,2024,2024-03-31
+XOM,ExxonMobil,Language Complexity,CQ12024,12.84,1,2024,2024-03-31
+HAL,Halliburton,Language Complexity,CQ12024,12.11,1,2024,2024-03-31
+OXY,Occidental Petroleum,Language Complexity,CQ12024,13.32,1,2024,2024-03-31
+SLB,Schlumberger,Language Complexity,CQ12024,14.33,1,2024,2024-03-31
+VLO,Valero Energy,Language Complexity,CQ12024,11.31,1,2024,2024-03-31
+AFL,Aflac,Language Complexity,CQ12024,12.55,1,2024,2024-03-31
+ALL,Allstate,Language Complexity,CQ12024,13.16,1,2024,2024-03-31
+AXP,American Express,Language Complexity,CQ12024,11.32,1,2024,2024-03-31
+AIG,American International Group,Language Complexity,CQ12024,13.73,1,2024,2024-03-31
+AMP,Ameriprise Financial,Language Complexity,CQ12024,12.14,1,2024,2024-03-31
+AON,Aon plc,Language Complexity,CQ12024,14.03,1,2024,2024-03-31
+BK,BNY Mellon,Language Complexity,CQ12024,12.68,1,2024,2024-03-31
+BAC,Bank of America,Language Complexity,CQ12024,11.14,1,2024,2024-03-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ12024,,1,2024,2024-03-31
+BLK,BlackRock,Language Complexity,CQ12024,13.78,1,2024,2024-03-31
+CME,CME Group,Language Complexity,CQ12024,11.33,1,2024,2024-03-31
+SCHW,Charles Schwab,Language Complexity,CQ12024,,1,2024,2024-03-31
+CB,Chubb Limited,Language Complexity,CQ12024,11.31,1,2024,2024-03-31
+CINF,Cincinnati Financial,Language Complexity,CQ12024,12.55,1,2024,2024-03-31
+C,Citigroup,Language Complexity,CQ12024,12.8,1,2024,2024-03-31
+FIS,Fidelity National Information Services,Language Complexity,CQ12024,13.4,1,2024,2024-03-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ12024,13.62,1,2024,2024-03-31
+FISV,Fiserv,Language Complexity,CQ12024,13.53,1,2024,2024-03-31
+GS,Goldman Sachs,Language Complexity,CQ12024,13.01,1,2024,2024-03-31
+HIG,Hartford Financial,Language Complexity,CQ12024,11.97,1,2024,2024-03-31
+ICE,Intercontinental Exchange,Language Complexity,CQ12024,14.71,1,2024,2024-03-31
+IVZ,Invesco,Language Complexity,CQ12024,13.41,1,2024,2024-03-31
+JPM,JPMorgan Chase,Language Complexity,CQ12024,11.23,1,2024,2024-03-31
+KEY,KeyCorp,Language Complexity,CQ12024,11.49,1,2024,2024-03-31
+MA,Mastercard,Language Complexity,CQ12024,12.86,1,2024,2024-03-31
+MET,MetLife,Language Complexity,CQ12024,13.24,1,2024,2024-03-31
+MS,Morgan Stanley,Language Complexity,CQ12024,13.41,1,2024,2024-03-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ12024,12.99,1,2024,2024-03-31
+NTRS,Northern Trust,Language Complexity,CQ12024,11.86,1,2024,2024-03-31
+PNC,PNC Financial Services,Language Complexity,CQ12024,10.79,1,2024,2024-03-31
+PRU,Prudential Financial,Language Complexity,CQ12024,13.81,1,2024,2024-03-31
+RF,Regions Financial,Language Complexity,CQ12024,11.7,1,2024,2024-03-31
+SPGI,S&P Global,Language Complexity,CQ12024,13.4,1,2024,2024-03-31
+STT,State Street,Language Complexity,CQ12024,12.34,1,2024,2024-03-31
+TROW,T. Rowe Price,Language Complexity,CQ12024,14.43,1,2024,2024-03-31
+TRV,Travelers Companies,Language Complexity,CQ12024,12.82,1,2024,2024-03-31
+USB,U.S. Bancorp,Language Complexity,CQ12024,11.6,1,2024,2024-03-31
+V,Visa,Language Complexity,CQ12024,12.58,1,2024,2024-03-31
+WFC,Wells Fargo,Language Complexity,CQ12024,12.56,1,2024,2024-03-31
+ABBV,AbbVie,Language Complexity,CQ12024,12.18,1,2024,2024-03-31
+ABT,Abbott Laboratories,Language Complexity,CQ12024,11.9,1,2024,2024-03-31
+A,Agilent Technologies,Language Complexity,CQ12024,10.0,1,2024,2024-03-31
+AMGN,Amgen,Language Complexity,CQ12024,12.97,1,2024,2024-03-31
+BAX,Baxter International,Language Complexity,CQ12024,12.94,1,2024,2024-03-31
+BDX,Becton Dickinson,Language Complexity,CQ12024,12.16,1,2024,2024-03-31
+BIIB,Biogen,Language Complexity,CQ12024,12.36,1,2024,2024-03-31
+BSX,Boston Scientific,Language Complexity,CQ12024,12.44,1,2024,2024-03-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ12024,12.08,1,2024,2024-03-31
+CVS,CVS Health,Language Complexity,CQ12024,13.48,1,2024,2024-03-31
+COR,Cencora,Language Complexity,CQ12024,,1,2024,2024-03-31
+CI,Cigna,Language Complexity,CQ12024,14.99,1,2024,2024-03-31
+DVA,DaVita,Language Complexity,CQ12024,11.95,1,2024,2024-03-31
+DHR,Danaher Corporation,Language Complexity,CQ12024,12.49,1,2024,2024-03-31
+LLY,Eli Lilly,Language Complexity,CQ12024,12.55,1,2024,2024-03-31
+GILD,Gilead Sciences,Language Complexity,CQ12024,13.65,1,2024,2024-03-31
+HUM,Humana,Language Complexity,CQ12024,13.25,1,2024,2024-03-31
+ISRG,Intuitive Surgical,Language Complexity,CQ12024,12.42,1,2024,2024-03-31
+JNJ,Johnson & Johnson,Language Complexity,CQ12024,13.42,1,2024,2024-03-31
+LH,Labcorp,Language Complexity,CQ12024,12.25,1,2024,2024-03-31
+MCK,McKesson Corporation,Language Complexity,CQ12024,14.96,1,2024,2024-03-31
+MDT,Medtronic,Language Complexity,CQ12024,12.26,1,2024,2024-03-31
+MRK,Merck & Co.,Language Complexity,CQ12024,12.97,1,2024,2024-03-31
+PFE,Pfizer,Language Complexity,CQ12024,12.33,1,2024,2024-03-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ12024,13.6,1,2024,2024-03-31
+WAT,Waters Corporation,Language Complexity,CQ12024,11.56,1,2024,2024-03-31
+ZBH,Zimmer Biomet,Language Complexity,CQ12024,11.71,1,2024,2024-03-31
+MMM,3M,Language Complexity,CQ12024,12.42,1,2024,2024-03-31
+AME,Ametek,Language Complexity,CQ12024,11.04,1,2024,2024-03-31
+ADP,Automatic Data Processing,Language Complexity,CQ12024,12.02,1,2024,2024-03-31
+BA,Boeing,Language Complexity,CQ12024,10.43,1,2024,2024-03-31
+CSX,CSX Corporation,Language Complexity,CQ12024,11.74,1,2024,2024-03-31
+CAT,Caterpillar Inc.,Language Complexity,CQ12024,12.54,1,2024,2024-03-31
+CTAS,Cintas,Language Complexity,CQ12024,10.96,1,2024,2024-03-31
+CMI,Cummins,Language Complexity,CQ12024,12.75,1,2024,2024-03-31
+DE,Deere & Company,Language Complexity,CQ12024,12.91,1,2024,2024-03-31
+ETN,Eaton Corporation,Language Complexity,CQ12024,11.49,1,2024,2024-03-31
+EMR,Emerson Electric,Language Complexity,CQ12024,12.29,1,2024,2024-03-31
+EFX,Equifax,Language Complexity,CQ12024,13.58,1,2024,2024-03-31
+EXPD,Expeditors International,Language Complexity,CQ12024,,1,2024,2024-03-31
+FDX,FedEx,Language Complexity,CQ12024,12.88,1,2024,2024-03-31
+GE,GE Aerospace,Language Complexity,CQ12024,11.86,1,2024,2024-03-31
+GD,General Dynamics,Language Complexity,CQ12024,11.31,1,2024,2024-03-31
+ITW,Illinois Tool Works,Language Complexity,CQ12024,12.72,1,2024,2024-03-31
+LMT,Lockheed Martin,Language Complexity,CQ12024,13.24,1,2024,2024-03-31
+NSC,Norfolk Southern,Language Complexity,CQ12024,12.36,1,2024,2024-03-31
+NOC,Northrop Grumman,Language Complexity,CQ12024,12.58,1,2024,2024-03-31
+PCAR,Paccar,Language Complexity,CQ12024,10.67,1,2024,2024-03-31
+RTX,RTX Corporation,Language Complexity,CQ12024,13.2,1,2024,2024-03-31
+ROK,Rockwell Automation,Language Complexity,CQ12024,11.75,1,2024,2024-03-31
+ROP,Roper Technologies,Language Complexity,CQ12024,12.1,1,2024,2024-03-31
+SNA,Snap-on,Language Complexity,CQ12024,11.84,1,2024,2024-03-31
+SWK,Stanley Black & Decker,Language Complexity,CQ12024,13.92,1,2024,2024-03-31
+UPS,United Parcel Service,Language Complexity,CQ12024,11.4,1,2024,2024-03-31
+WM,Waste Management,Language Complexity,CQ12024,12.53,1,2024,2024-03-31
+ACN,Accenture,Language Complexity,CQ12024,12.91,1,2024,2024-03-31
+ADBE,Adobe Inc.,Language Complexity,CQ12024,13.94,1,2024,2024-03-31
+AKAM,Akamai Technologies,Language Complexity,CQ12024,11.33,1,2024,2024-03-31
+APH,Amphenol,Language Complexity,CQ12024,13.89,1,2024,2024-03-31
+ADI,Analog Devices,Language Complexity,CQ12024,12.34,1,2024,2024-03-31
+AAPL,Apple Inc.,Language Complexity,CQ12024,12.34,1,2024,2024-03-31
+AMAT,Applied Materials,Language Complexity,CQ12024,11.48,1,2024,2024-03-31
+ADSK,Autodesk,Language Complexity,CQ12024,12.95,1,2024,2024-03-31
+AVGO,Broadcom,Language Complexity,CQ12024,11.69,1,2024,2024-03-31
+CSCO,Cisco,Language Complexity,CQ12024,12.26,1,2024,2024-03-31
+CTSH,Cognizant,Language Complexity,CQ12024,13.12,1,2024,2024-03-31
+HPQ,HP Inc.,Language Complexity,CQ12024,13.43,1,2024,2024-03-31
+IBM,IBM,Language Complexity,CQ12024,12.52,1,2024,2024-03-31
+INTC,Intel,Language Complexity,CQ12024,13.23,1,2024,2024-03-31
+INTU,Intuit,Language Complexity,CQ12024,12.51,1,2024,2024-03-31
+LRCX,Lam Research,Language Complexity,CQ12024,11.81,1,2024,2024-03-31
+MU,Micron Technology,Language Complexity,CQ12024,10.53,1,2024,2024-03-31
+MSFT,Microsoft,Language Complexity,CQ12024,13.27,1,2024,2024-03-31
+MSI,Motorola Solutions,Language Complexity,CQ12024,12.18,1,2024,2024-03-31
+NTAP,NetApp,Language Complexity,CQ12024,12.42,1,2024,2024-03-31
+NVDA,Nvidia,Language Complexity,CQ12024,13.42,1,2024,2024-03-31
+ORCL,Oracle Corporation,Language Complexity,CQ12024,12.54,1,2024,2024-03-31
+TXN,Texas Instruments,Language Complexity,CQ12024,10.43,1,2024,2024-03-31
+APD,Air Products,Language Complexity,CQ12024,10.97,1,2024,2024-03-31
+AVY,Avery Dennison,Language Complexity,CQ12024,14.46,1,2024,2024-03-31
+ECL,Ecolab,Language Complexity,CQ12024,11.56,1,2024,2024-03-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ12024,12.43,1,2024,2024-03-31
+IP,International Paper,Language Complexity,CQ12024,12.35,1,2024,2024-03-31
+LIN,Linde plc,Language Complexity,CQ12024,12.08,1,2024,2024-03-31
+NEM,Newmont,Language Complexity,CQ12024,14.95,1,2024,2024-03-31
+NUE,Nucor,Language Complexity,CQ12024,12.05,1,2024,2024-03-31
+AMT,American Tower,Language Complexity,CQ12024,14.28,1,2024,2024-03-31
+AVB,AvalonBay Communities,Language Complexity,CQ12024,12.45,1,2024,2024-03-31
+EQR,Equity Residential,Language Complexity,CQ12024,11.38,1,2024,2024-03-31
+DOC,Healthpeak Properties,Language Complexity,CQ12024,10.44,1,2024,2024-03-31
+IRM,Iron Mountain,Language Complexity,CQ12024,13.09,1,2024,2024-03-31
+PLD,Prologis,Language Complexity,CQ12024,11.17,1,2024,2024-03-31
+VTR,Ventas,Language Complexity,CQ12024,11.97,1,2024,2024-03-31
+WY,Weyerhaeuser,Language Complexity,CQ12024,12.64,1,2024,2024-03-31
+AES,AES Corporation,Language Complexity,CQ12024,11.54,1,2024,2024-03-31
+AEE,Ameren,Language Complexity,CQ12024,14.1,1,2024,2024-03-31
+AEP,American Electric Power,Language Complexity,CQ12024,12.31,1,2024,2024-03-31
+CMS,CMS Energy,Language Complexity,CQ12024,11.91,1,2024,2024-03-31
+CNP,CenterPoint Energy,Language Complexity,CQ12024,14.82,1,2024,2024-03-31
+DUK,Duke Energy,Language Complexity,CQ12024,13.49,1,2024,2024-03-31
+EIX,Edison International,Language Complexity,CQ12024,11.84,1,2024,2024-03-31
+ETR,Entergy,Language Complexity,CQ12024,14.61,1,2024,2024-03-31
+EXC,Exelon,Language Complexity,CQ12024,15.08,1,2024,2024-03-31
+NEE,NextEra Energy,Language Complexity,CQ12024,15.08,1,2024,2024-03-31
+SO,Southern Company,Language Complexity,CQ12024,11.8,1,2024,2024-03-31
+XEL,Xcel Energy,Language Complexity,CQ12024,12.8,1,2024,2024-03-31
+T,AT&T,Net Positivity,CQ22024,1.14,2,2024,2024-06-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ22024,2.52,2,2024,2024-06-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ22024,,2,2024,2024-06-30
+META,Meta Platforms,Net Positivity,CQ22024,2.1,2,2024,2024-06-30
+NFLX,Netflix,Net Positivity,CQ22024,1.96,2,2024,2024-06-30
+NWSA,News Corp (Class A),Net Positivity,CQ22024,1.48,2,2024,2024-06-30
+OMC,Omnicom Group,Net Positivity,CQ22024,0.84,2,2024,2024-06-30
+VZ,Verizon,Net Positivity,CQ22024,1.93,2,2024,2024-06-30
+AMZN,Amazon,Net Positivity,CQ22024,1.75,2,2024,2024-06-30
+AZO,AutoZone,Net Positivity,CQ22024,1.23,2,2024,2024-06-30
+BBY,Best Buy,Net Positivity,CQ22024,1.75,2,2024,2024-06-30
+BKNG,Booking Holdings,Net Positivity,CQ22024,1.96,2,2024,2024-06-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ22024,2.96,2,2024,2024-06-30
+DRI,Darden Restaurants,Net Positivity,CQ22024,1.35,2,2024,2024-06-30
+F,Ford Motor Company,Net Positivity,CQ22024,0.96,2,2024,2024-06-30
+GM,General Motors,Net Positivity,CQ22024,2.03,2,2024,2024-06-30
+GPC,Genuine Parts Company,Net Positivity,CQ22024,1.77,2,2024,2024-06-30
+HAS,Hasbro,Net Positivity,CQ22024,0.98,2,2024,2024-06-30
+LOW,Lowe's,Net Positivity,CQ22024,2.15,2,2024,2024-06-30
+MCD,McDonald's,Net Positivity,CQ22024,1.93,2,2024,2024-06-30
+NKE,"Nike, Inc.",Net Positivity,CQ22024,1.76,2,2024,2024-06-30
+ROST,Ross Stores,Net Positivity,CQ22024,1.82,2,2024,2024-06-30
+TJX,TJX Companies,Net Positivity,CQ22024,1.95,2,2024,2024-06-30
+TGT,Target,Net Positivity,CQ22024,2.61,2,2024,2024-06-30
+MO,Altria,Net Positivity,CQ22024,0.33,2,2024,2024-06-30
+ADM,Archer Daniels Midland,Net Positivity,CQ22024,1.26,2,2024,2024-06-30
+BF.B,Brown-Forman,Net Positivity,CQ22024,0.39,2,2024,2024-06-30
+CLX,Clorox,Net Positivity,CQ22024,0.34,2,2024,2024-06-30
+KO,Coca-Cola Company,Net Positivity,CQ22024,1.72,2,2024,2024-06-30
+COST,Costco,Net Positivity,CQ22024,2.14,2,2024,2024-06-30
+GIS,General Mills,Net Positivity,CQ22024,1.22,2,2024,2024-06-30
+HSY,Hershey Company,Net Positivity,CQ22024,1.33,2,2024,2024-06-30
+KMB,Kimberly-Clark,Net Positivity,CQ22024,1.62,2,2024,2024-06-30
+KR,Kroger,Net Positivity,CQ22024,2.21,2,2024,2024-06-30
+MKC,McCormick & Company,Net Positivity,CQ22024,1.75,2,2024,2024-06-30
+PEP,PepsiCo,Net Positivity,CQ22024,2.29,2,2024,2024-06-30
+PG,Procter & Gamble,Net Positivity,CQ22024,1.82,2,2024,2024-06-30
+SYY,Sysco,Net Positivity,CQ22024,2.22,2,2024,2024-06-30
+WMT,Walmart,Net Positivity,CQ22024,2.56,2,2024,2024-06-30
+APA,APA Corporation,Net Positivity,CQ22024,0.86,2,2024,2024-06-30
+CVX,Chevron Corporation,Net Positivity,CQ22024,,2,2024,2024-06-30
+CTRA,Coterra Energy,Net Positivity,CQ22024,1.08,2,2024,2024-06-30
+EOG,EOG Resources,Net Positivity,CQ22024,2.01,2,2024,2024-06-30
+XOM,ExxonMobil,Net Positivity,CQ22024,1.96,2,2024,2024-06-30
+HAL,Halliburton,Net Positivity,CQ22024,1.95,2,2024,2024-06-30
+OXY,Occidental Petroleum,Net Positivity,CQ22024,1.65,2,2024,2024-06-30
+SLB,Schlumberger,Net Positivity,CQ22024,1.2,2,2024,2024-06-30
+VLO,Valero Energy,Net Positivity,CQ22024,0.2,2,2024,2024-06-30
+AFL,Aflac,Net Positivity,CQ22024,1.43,2,2024,2024-06-30
+ALL,Allstate,Net Positivity,CQ22024,1.07,2,2024,2024-06-30
+AXP,American Express,Net Positivity,CQ22024,1.57,2,2024,2024-06-30
+AIG,American International Group,Net Positivity,CQ22024,0.67,2,2024,2024-06-30
+AMP,Ameriprise Financial,Net Positivity,CQ22024,1.98,2,2024,2024-06-30
+AON,Aon plc,Net Positivity,CQ22024,1.95,2,2024,2024-06-30
+BK,BNY Mellon,Net Positivity,CQ22024,1.43,2,2024,2024-06-30
+BAC,Bank of America,Net Positivity,CQ22024,1.31,2,2024,2024-06-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ22024,,2,2024,2024-06-30
+BLK,BlackRock,Net Positivity,CQ22024,1.64,2,2024,2024-06-30
+CME,CME Group,Net Positivity,CQ22024,1.01,2,2024,2024-06-30
+SCHW,Charles Schwab,Net Positivity,CQ22024,,2,2024,2024-06-30
+CB,Chubb Limited,Net Positivity,CQ22024,-0.29,2,2024,2024-06-30
+CINF,Cincinnati Financial,Net Positivity,CQ22024,0.26,2,2024,2024-06-30
+C,Citigroup,Net Positivity,CQ22024,0.73,2,2024,2024-06-30
+FIS,Fidelity National Information Services,Net Positivity,CQ22024,1.61,2,2024,2024-06-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ22024,0.82,2,2024,2024-06-30
+FISV,Fiserv,Net Positivity,CQ22024,1.47,2,2024,2024-06-30
+GS,Goldman Sachs,Net Positivity,CQ22024,1.37,2,2024,2024-06-30
+HIG,Hartford Financial,Net Positivity,CQ22024,1.01,2,2024,2024-06-30
+ICE,Intercontinental Exchange,Net Positivity,CQ22024,1.4,2,2024,2024-06-30
+IVZ,Invesco,Net Positivity,CQ22024,1.25,2,2024,2024-06-30
+JPM,JPMorgan Chase,Net Positivity,CQ22024,0.23,2,2024,2024-06-30
+KEY,KeyCorp,Net Positivity,CQ22024,-0.07,2,2024,2024-06-30
+MA,Mastercard,Net Positivity,CQ22024,1.39,2,2024,2024-06-30
+MET,MetLife,Net Positivity,CQ22024,1.32,2,2024,2024-06-30
+MS,Morgan Stanley,Net Positivity,CQ22024,1.64,2,2024,2024-06-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ22024,1.83,2,2024,2024-06-30
+NTRS,Northern Trust,Net Positivity,CQ22024,0.92,2,2024,2024-06-30
+PNC,PNC Financial Services,Net Positivity,CQ22024,0.0,2,2024,2024-06-30
+PRU,Prudential Financial,Net Positivity,CQ22024,2.04,2,2024,2024-06-30
+RF,Regions Financial,Net Positivity,CQ22024,-0.27,2,2024,2024-06-30
+SPGI,S&P Global,Net Positivity,CQ22024,1.8,2,2024,2024-06-30
+STT,State Street,Net Positivity,CQ22024,1.08,2,2024,2024-06-30
+TROW,T. Rowe Price,Net Positivity,CQ22024,1.55,2,2024,2024-06-30
+TRV,Travelers Companies,Net Positivity,CQ22024,1.65,2,2024,2024-06-30
+USB,U.S. Bancorp,Net Positivity,CQ22024,0.65,2,2024,2024-06-30
+V,Visa,Net Positivity,CQ22024,1.41,2,2024,2024-06-30
+WFC,Wells Fargo,Net Positivity,CQ22024,0.5,2,2024,2024-06-30
+ABBV,AbbVie,Net Positivity,CQ22024,1.01,2,2024,2024-06-30
+ABT,Abbott Laboratories,Net Positivity,CQ22024,1.34,2,2024,2024-06-30
+A,Agilent Technologies,Net Positivity,CQ22024,0.18,2,2024,2024-06-30
+AMGN,Amgen,Net Positivity,CQ22024,1.11,2,2024,2024-06-30
+BAX,Baxter International,Net Positivity,CQ22024,1.68,2,2024,2024-06-30
+BDX,Becton Dickinson,Net Positivity,CQ22024,3.01,2,2024,2024-06-30
+BIIB,Biogen,Net Positivity,CQ22024,0.49,2,2024,2024-06-30
+BSX,Boston Scientific,Net Positivity,CQ22024,1.32,2,2024,2024-06-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ22024,1.59,2,2024,2024-06-30
+CVS,CVS Health,Net Positivity,CQ22024,0.9,2,2024,2024-06-30
+COR,Cencora,Net Positivity,CQ22024,,2,2024,2024-06-30
+CI,Cigna,Net Positivity,CQ22024,1.95,2,2024,2024-06-30
+DVA,DaVita,Net Positivity,CQ22024,0.51,2,2024,2024-06-30
+DHR,Danaher Corporation,Net Positivity,CQ22024,1.28,2,2024,2024-06-30
+LLY,Eli Lilly,Net Positivity,CQ22024,0.63,2,2024,2024-06-30
+GILD,Gilead Sciences,Net Positivity,CQ22024,1.04,2,2024,2024-06-30
+HUM,Humana,Net Positivity,CQ22024,0.58,2,2024,2024-06-30
+ISRG,Intuitive Surgical,Net Positivity,CQ22024,0.84,2,2024,2024-06-30
+JNJ,Johnson & Johnson,Net Positivity,CQ22024,1.83,2,2024,2024-06-30
+LH,Labcorp,Net Positivity,CQ22024,1.38,2,2024,2024-06-30
+MCK,McKesson Corporation,Net Positivity,CQ22024,1.86,2,2024,2024-06-30
+MDT,Medtronic,Net Positivity,CQ22024,1.54,2,2024,2024-06-30
+MRK,Merck & Co.,Net Positivity,CQ22024,1.14,2,2024,2024-06-30
+PFE,Pfizer,Net Positivity,CQ22024,1.89,2,2024,2024-06-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ22024,2.5,2,2024,2024-06-30
+WAT,Waters Corporation,Net Positivity,CQ22024,0.59,2,2024,2024-06-30
+ZBH,Zimmer Biomet,Net Positivity,CQ22024,1.81,2,2024,2024-06-30
+MMM,3M,Net Positivity,CQ22024,1.23,2,2024,2024-06-30
+AME,Ametek,Net Positivity,CQ22024,2.17,2,2024,2024-06-30
+ADP,Automatic Data Processing,Net Positivity,CQ22024,2.22,2,2024,2024-06-30
+BA,Boeing,Net Positivity,CQ22024,0.84,2,2024,2024-06-30
+CSX,CSX Corporation,Net Positivity,CQ22024,1.82,2,2024,2024-06-30
+CAT,Caterpillar Inc.,Net Positivity,CQ22024,1.56,2,2024,2024-06-30
+CTAS,Cintas,Net Positivity,CQ22024,,2,2024,2024-06-30
+CMI,Cummins,Net Positivity,CQ22024,1.21,2,2024,2024-06-30
+DE,Deere & Company,Net Positivity,CQ22024,1.22,2,2024,2024-06-30
+ETN,Eaton Corporation,Net Positivity,CQ22024,1.01,2,2024,2024-06-30
+EMR,Emerson Electric,Net Positivity,CQ22024,1.7,2,2024,2024-06-30
+EFX,Equifax,Net Positivity,CQ22024,0.97,2,2024,2024-06-30
+EXPD,Expeditors International,Net Positivity,CQ22024,,2,2024,2024-06-30
+FDX,FedEx,Net Positivity,CQ22024,2.01,2,2024,2024-06-30
+GE,GE Aerospace,Net Positivity,CQ22024,1.72,2,2024,2024-06-30
+GD,General Dynamics,Net Positivity,CQ22024,0.49,2,2024,2024-06-30
+ITW,Illinois Tool Works,Net Positivity,CQ22024,1.56,2,2024,2024-06-30
+LMT,Lockheed Martin,Net Positivity,CQ22024,0.68,2,2024,2024-06-30
+NSC,Norfolk Southern,Net Positivity,CQ22024,0.92,2,2024,2024-06-30
+NOC,Northrop Grumman,Net Positivity,CQ22024,1.52,2,2024,2024-06-30
+PCAR,Paccar,Net Positivity,CQ22024,2.44,2,2024,2024-06-30
+RTX,RTX Corporation,Net Positivity,CQ22024,1.65,2,2024,2024-06-30
+ROK,Rockwell Automation,Net Positivity,CQ22024,1.02,2,2024,2024-06-30
+ROP,Roper Technologies,Net Positivity,CQ22024,1.54,2,2024,2024-06-30
+SNA,Snap-on,Net Positivity,CQ22024,0.47,2,2024,2024-06-30
+SWK,Stanley Black & Decker,Net Positivity,CQ22024,1.78,2,2024,2024-06-30
+UPS,United Parcel Service,Net Positivity,CQ22024,0.94,2,2024,2024-06-30
+WM,Waste Management,Net Positivity,CQ22024,2.04,2,2024,2024-06-30
+ACN,Accenture,Net Positivity,CQ22024,1.67,2,2024,2024-06-30
+ADBE,Adobe Inc.,Net Positivity,CQ22024,2.63,2,2024,2024-06-30
+AKAM,Akamai Technologies,Net Positivity,CQ22024,0.83,2,2024,2024-06-30
+APH,Amphenol,Net Positivity,CQ22024,1.48,2,2024,2024-06-30
+ADI,Analog Devices,Net Positivity,CQ22024,1.23,2,2024,2024-06-30
+AAPL,Apple Inc.,Net Positivity,CQ22024,1.53,2,2024,2024-06-30
+AMAT,Applied Materials,Net Positivity,CQ22024,2.02,2,2024,2024-06-30
+ADSK,Autodesk,Net Positivity,CQ22024,1.16,2,2024,2024-06-30
+AVGO,Broadcom,Net Positivity,CQ22024,0.38,2,2024,2024-06-30
+CSCO,Cisco,Net Positivity,CQ22024,1.29,2,2024,2024-06-30
+CTSH,Cognizant,Net Positivity,CQ22024,1.57,2,2024,2024-06-30
+HPQ,HP Inc.,Net Positivity,CQ22024,1.89,2,2024,2024-06-30
+IBM,IBM,Net Positivity,CQ22024,1.41,2,2024,2024-06-30
+INTC,Intel,Net Positivity,CQ22024,2.04,2,2024,2024-06-30
+INTU,Intuit,Net Positivity,CQ22024,1.65,2,2024,2024-06-30
+LRCX,Lam Research,Net Positivity,CQ22024,1.12,2,2024,2024-06-30
+MU,Micron Technology,Net Positivity,CQ22024,0.96,2,2024,2024-06-30
+MSFT,Microsoft,Net Positivity,CQ22024,1.15,2,2024,2024-06-30
+MSI,Motorola Solutions,Net Positivity,CQ22024,1.26,2,2024,2024-06-30
+NTAP,NetApp,Net Positivity,CQ22024,1.88,2,2024,2024-06-30
+NVDA,Nvidia,Net Positivity,CQ22024,1.58,2,2024,2024-06-30
+ORCL,Oracle Corporation,Net Positivity,CQ22024,0.39,2,2024,2024-06-30
+TXN,Texas Instruments,Net Positivity,CQ22024,0.47,2,2024,2024-06-30
+APD,Air Products,Net Positivity,CQ22024,0.49,2,2024,2024-06-30
+AVY,Avery Dennison,Net Positivity,CQ22024,0.99,2,2024,2024-06-30
+ECL,Ecolab,Net Positivity,CQ22024,1.94,2,2024,2024-06-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ22024,3.06,2,2024,2024-06-30
+IP,International Paper,Net Positivity,CQ22024,0.9,2,2024,2024-06-30
+LIN,Linde plc,Net Positivity,CQ22024,0.8,2,2024,2024-06-30
+NEM,Newmont,Net Positivity,CQ22024,0.5,2,2024,2024-06-30
+NUE,Nucor,Net Positivity,CQ22024,1.33,2,2024,2024-06-30
+AMT,American Tower,Net Positivity,CQ22024,0.95,2,2024,2024-06-30
+AVB,AvalonBay Communities,Net Positivity,CQ22024,1.13,2,2024,2024-06-30
+EQR,Equity Residential,Net Positivity,CQ22024,1.0,2,2024,2024-06-30
+DOC,Healthpeak Properties,Net Positivity,CQ22024,0.6,2,2024,2024-06-30
+IRM,Iron Mountain,Net Positivity,CQ22024,2.07,2,2024,2024-06-30
+PLD,Prologis,Net Positivity,CQ22024,0.23,2,2024,2024-06-30
+VTR,Ventas,Net Positivity,CQ22024,2.51,2,2024,2024-06-30
+WY,Weyerhaeuser,Net Positivity,CQ22024,0.68,2,2024,2024-06-30
+AES,AES Corporation,Net Positivity,CQ22024,1.13,2,2024,2024-06-30
+AEE,Ameren,Net Positivity,CQ22024,0.74,2,2024,2024-06-30
+AEP,American Electric Power,Net Positivity,CQ22024,0.75,2,2024,2024-06-30
+CMS,CMS Energy,Net Positivity,CQ22024,1.94,2,2024,2024-06-30
+CNP,CenterPoint Energy,Net Positivity,CQ22024,1.55,2,2024,2024-06-30
+DUK,Duke Energy,Net Positivity,CQ22024,1.72,2,2024,2024-06-30
+EIX,Edison International,Net Positivity,CQ22024,0.7,2,2024,2024-06-30
+ETR,Entergy,Net Positivity,CQ22024,0.99,2,2024,2024-06-30
+EXC,Exelon,Net Positivity,CQ22024,1.21,2,2024,2024-06-30
+NEE,NextEra Energy,Net Positivity,CQ22024,1.02,2,2024,2024-06-30
+SO,Southern Company,Net Positivity,CQ22024,0.8,2,2024,2024-06-30
+XEL,Xcel Energy,Net Positivity,CQ22024,0.77,2,2024,2024-06-30
+T,AT&T,Numeric Transeprency,CQ22024,1.46,2,2024,2024-06-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ22024,1.8,2,2024,2024-06-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ22024,,2,2024,2024-06-30
+META,Meta Platforms,Numeric Transeprency,CQ22024,1.25,2,2024,2024-06-30
+NFLX,Netflix,Numeric Transeprency,CQ22024,1.04,2,2024,2024-06-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ22024,3.09,2,2024,2024-06-30
+OMC,Omnicom Group,Numeric Transeprency,CQ22024,2.41,2,2024,2024-06-30
+VZ,Verizon,Numeric Transeprency,CQ22024,1.46,2,2024,2024-06-30
+AMZN,Amazon,Numeric Transeprency,CQ22024,1.44,2,2024,2024-06-30
+AZO,AutoZone,Numeric Transeprency,CQ22024,2.08,2,2024,2024-06-30
+BBY,Best Buy,Numeric Transeprency,CQ22024,1.45,2,2024,2024-06-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ22024,1.15,2,2024,2024-06-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ22024,1.81,2,2024,2024-06-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ22024,2.49,2,2024,2024-06-30
+F,Ford Motor Company,Numeric Transeprency,CQ22024,2.19,2,2024,2024-06-30
+GM,General Motors,Numeric Transeprency,CQ22024,1.88,2,2024,2024-06-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ22024,2.69,2,2024,2024-06-30
+HAS,Hasbro,Numeric Transeprency,CQ22024,1.79,2,2024,2024-06-30
+LOW,Lowe's,Numeric Transeprency,CQ22024,1.14,2,2024,2024-06-30
+MCD,McDonald's,Numeric Transeprency,CQ22024,0.85,2,2024,2024-06-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ22024,1.98,2,2024,2024-06-30
+ROST,Ross Stores,Numeric Transeprency,CQ22024,1.84,2,2024,2024-06-30
+TJX,TJX Companies,Numeric Transeprency,CQ22024,1.54,2,2024,2024-06-30
+TGT,Target,Numeric Transeprency,CQ22024,1.29,2,2024,2024-06-30
+MO,Altria,Numeric Transeprency,CQ22024,1.87,2,2024,2024-06-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ22024,1.72,2,2024,2024-06-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ22024,1.69,2,2024,2024-06-30
+CLX,Clorox,Numeric Transeprency,CQ22024,0.99,2,2024,2024-06-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ22024,1.32,2,2024,2024-06-30
+COST,Costco,Numeric Transeprency,CQ22024,1.63,2,2024,2024-06-30
+GIS,General Mills,Numeric Transeprency,CQ22024,0.84,2,2024,2024-06-30
+HSY,Hershey Company,Numeric Transeprency,CQ22024,0.59,2,2024,2024-06-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ22024,1.49,2,2024,2024-06-30
+KR,Kroger,Numeric Transeprency,CQ22024,0.94,2,2024,2024-06-30
+MKC,McCormick & Company,Numeric Transeprency,CQ22024,1.22,2,2024,2024-06-30
+PEP,PepsiCo,Numeric Transeprency,CQ22024,0.75,2,2024,2024-06-30
+PG,Procter & Gamble,Numeric Transeprency,CQ22024,1.88,2,2024,2024-06-30
+SYY,Sysco,Numeric Transeprency,CQ22024,1.48,2,2024,2024-06-30
+WMT,Walmart,Numeric Transeprency,CQ22024,1.27,2,2024,2024-06-30
+APA,APA Corporation,Numeric Transeprency,CQ22024,2.29,2,2024,2024-06-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ22024,,2,2024,2024-06-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ22024,2.25,2,2024,2024-06-30
+EOG,EOG Resources,Numeric Transeprency,CQ22024,1.68,2,2024,2024-06-30
+XOM,ExxonMobil,Numeric Transeprency,CQ22024,3.04,2,2024,2024-06-30
+HAL,Halliburton,Numeric Transeprency,CQ22024,1.91,2,2024,2024-06-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ22024,1.44,2,2024,2024-06-30
+SLB,Schlumberger,Numeric Transeprency,CQ22024,1.59,2,2024,2024-06-30
+VLO,Valero Energy,Numeric Transeprency,CQ22024,2.69,2,2024,2024-06-30
+AFL,Aflac,Numeric Transeprency,CQ22024,1.92,2,2024,2024-06-30
+ALL,Allstate,Numeric Transeprency,CQ22024,1.97,2,2024,2024-06-30
+AXP,American Express,Numeric Transeprency,CQ22024,2.17,2,2024,2024-06-30
+AIG,American International Group,Numeric Transeprency,CQ22024,4.1,2,2024,2024-06-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ22024,2.35,2,2024,2024-06-30
+AON,Aon plc,Numeric Transeprency,CQ22024,2.09,2,2024,2024-06-30
+BK,BNY Mellon,Numeric Transeprency,CQ22024,2.08,2,2024,2024-06-30
+BAC,Bank of America,Numeric Transeprency,CQ22024,3.06,2,2024,2024-06-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ22024,,2,2024,2024-06-30
+BLK,BlackRock,Numeric Transeprency,CQ22024,2.18,2,2024,2024-06-30
+CME,CME Group,Numeric Transeprency,CQ22024,1.62,2,2024,2024-06-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ22024,,2,2024,2024-06-30
+CB,Chubb Limited,Numeric Transeprency,CQ22024,2.73,2,2024,2024-06-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ22024,2.91,2,2024,2024-06-30
+C,Citigroup,Numeric Transeprency,CQ22024,2.22,2,2024,2024-06-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ22024,6.48,2,2024,2024-06-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ22024,2.69,2,2024,2024-06-30
+FISV,Fiserv,Numeric Transeprency,CQ22024,3.13,2,2024,2024-06-30
+GS,Goldman Sachs,Numeric Transeprency,CQ22024,1.7,2,2024,2024-06-30
+HIG,Hartford Financial,Numeric Transeprency,CQ22024,2.26,2,2024,2024-06-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ22024,1.46,2,2024,2024-06-30
+IVZ,Invesco,Numeric Transeprency,CQ22024,2.26,2,2024,2024-06-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ22024,1.96,2,2024,2024-06-30
+KEY,KeyCorp,Numeric Transeprency,CQ22024,2.39,2,2024,2024-06-30
+MA,Mastercard,Numeric Transeprency,CQ22024,1.24,2,2024,2024-06-30
+MET,MetLife,Numeric Transeprency,CQ22024,3.42,2,2024,2024-06-30
+MS,Morgan Stanley,Numeric Transeprency,CQ22024,1.41,2,2024,2024-06-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ22024,2.56,2,2024,2024-06-30
+NTRS,Northern Trust,Numeric Transeprency,CQ22024,2.38,2,2024,2024-06-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ22024,3.53,2,2024,2024-06-30
+PRU,Prudential Financial,Numeric Transeprency,CQ22024,1.62,2,2024,2024-06-30
+RF,Regions Financial,Numeric Transeprency,CQ22024,2.23,2,2024,2024-06-30
+SPGI,S&P Global,Numeric Transeprency,CQ22024,2.15,2,2024,2024-06-30
+STT,State Street,Numeric Transeprency,CQ22024,2.4,2,2024,2024-06-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ22024,1.44,2,2024,2024-06-30
+TRV,Travelers Companies,Numeric Transeprency,CQ22024,2.24,2,2024,2024-06-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ22024,1.82,2,2024,2024-06-30
+V,Visa,Numeric Transeprency,CQ22024,2.22,2,2024,2024-06-30
+WFC,Wells Fargo,Numeric Transeprency,CQ22024,1.29,2,2024,2024-06-30
+ABBV,AbbVie,Numeric Transeprency,CQ22024,1.87,2,2024,2024-06-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ22024,1.37,2,2024,2024-06-30
+A,Agilent Technologies,Numeric Transeprency,CQ22024,1.7,2,2024,2024-06-30
+AMGN,Amgen,Numeric Transeprency,CQ22024,1.92,2,2024,2024-06-30
+BAX,Baxter International,Numeric Transeprency,CQ22024,2.16,2,2024,2024-06-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ22024,1.99,2,2024,2024-06-30
+BIIB,Biogen,Numeric Transeprency,CQ22024,1.95,2,2024,2024-06-30
+BSX,Boston Scientific,Numeric Transeprency,CQ22024,3.72,2,2024,2024-06-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ22024,1.21,2,2024,2024-06-30
+CVS,CVS Health,Numeric Transeprency,CQ22024,2.28,2,2024,2024-06-30
+COR,Cencora,Numeric Transeprency,CQ22024,,2,2024,2024-06-30
+CI,Cigna,Numeric Transeprency,CQ22024,1.92,2,2024,2024-06-30
+DVA,DaVita,Numeric Transeprency,CQ22024,2.33,2,2024,2024-06-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ22024,1.26,2,2024,2024-06-30
+LLY,Eli Lilly,Numeric Transeprency,CQ22024,1.9,2,2024,2024-06-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ22024,2.29,2,2024,2024-06-30
+HUM,Humana,Numeric Transeprency,CQ22024,1.36,2,2024,2024-06-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ22024,2.81,2,2024,2024-06-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ22024,2.56,2,2024,2024-06-30
+LH,Labcorp,Numeric Transeprency,CQ22024,1.82,2,2024,2024-06-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ22024,2.52,2,2024,2024-06-30
+MDT,Medtronic,Numeric Transeprency,CQ22024,1.78,2,2024,2024-06-30
+MRK,Merck & Co.,Numeric Transeprency,CQ22024,1.37,2,2024,2024-06-30
+PFE,Pfizer,Numeric Transeprency,CQ22024,1.93,2,2024,2024-06-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ22024,1.77,2,2024,2024-06-30
+WAT,Waters Corporation,Numeric Transeprency,CQ22024,2.32,2,2024,2024-06-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ22024,2.65,2,2024,2024-06-30
+MMM,3M,Numeric Transeprency,CQ22024,2.86,2,2024,2024-06-30
+AME,Ametek,Numeric Transeprency,CQ22024,2.82,2,2024,2024-06-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ22024,1.23,2,2024,2024-06-30
+BA,Boeing,Numeric Transeprency,CQ22024,2.27,2,2024,2024-06-30
+CSX,CSX Corporation,Numeric Transeprency,CQ22024,1.0,2,2024,2024-06-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ22024,2.4,2,2024,2024-06-30
+CTAS,Cintas,Numeric Transeprency,CQ22024,,2,2024,2024-06-30
+CMI,Cummins,Numeric Transeprency,CQ22024,3.92,2,2024,2024-06-30
+DE,Deere & Company,Numeric Transeprency,CQ22024,1.81,2,2024,2024-06-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ22024,2.27,2,2024,2024-06-30
+EMR,Emerson Electric,Numeric Transeprency,CQ22024,2.54,2,2024,2024-06-30
+EFX,Equifax,Numeric Transeprency,CQ22024,3.0,2,2024,2024-06-30
+EXPD,Expeditors International,Numeric Transeprency,CQ22024,,2,2024,2024-06-30
+FDX,FedEx,Numeric Transeprency,CQ22024,2.63,2,2024,2024-06-30
+GE,GE Aerospace,Numeric Transeprency,CQ22024,2.41,2,2024,2024-06-30
+GD,General Dynamics,Numeric Transeprency,CQ22024,2.49,2,2024,2024-06-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ22024,3.79,2,2024,2024-06-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ22024,1.86,2,2024,2024-06-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ22024,1.4,2,2024,2024-06-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ22024,1.45,2,2024,2024-06-30
+PCAR,Paccar,Numeric Transeprency,CQ22024,2.61,2,2024,2024-06-30
+RTX,RTX Corporation,Numeric Transeprency,CQ22024,2.38,2,2024,2024-06-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ22024,2.34,2,2024,2024-06-30
+ROP,Roper Technologies,Numeric Transeprency,CQ22024,1.82,2,2024,2024-06-30
+SNA,Snap-on,Numeric Transeprency,CQ22024,2.79,2,2024,2024-06-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ22024,2.29,2,2024,2024-06-30
+UPS,United Parcel Service,Numeric Transeprency,CQ22024,2.61,2,2024,2024-06-30
+WM,Waste Management,Numeric Transeprency,CQ22024,2.62,2,2024,2024-06-30
+ACN,Accenture,Numeric Transeprency,CQ22024,2.55,2,2024,2024-06-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ22024,1.43,2,2024,2024-06-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ22024,2.29,2,2024,2024-06-30
+APH,Amphenol,Numeric Transeprency,CQ22024,2.21,2,2024,2024-06-30
+ADI,Analog Devices,Numeric Transeprency,CQ22024,1.73,2,2024,2024-06-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ22024,1.9,2,2024,2024-06-30
+AMAT,Applied Materials,Numeric Transeprency,CQ22024,2.3,2,2024,2024-06-30
+ADSK,Autodesk,Numeric Transeprency,CQ22024,1.24,2,2024,2024-06-30
+AVGO,Broadcom,Numeric Transeprency,CQ22024,3.28,2,2024,2024-06-30
+CSCO,Cisco,Numeric Transeprency,CQ22024,2.7,2,2024,2024-06-30
+CTSH,Cognizant,Numeric Transeprency,CQ22024,2.54,2,2024,2024-06-30
+HPQ,HP Inc.,Numeric Transeprency,CQ22024,2.25,2,2024,2024-06-30
+IBM,IBM,Numeric Transeprency,CQ22024,2.3,2,2024,2024-06-30
+INTC,Intel,Numeric Transeprency,CQ22024,1.9,2,2024,2024-06-30
+INTU,Intuit,Numeric Transeprency,CQ22024,2.26,2,2024,2024-06-30
+LRCX,Lam Research,Numeric Transeprency,CQ22024,1.88,2,2024,2024-06-30
+MU,Micron Technology,Numeric Transeprency,CQ22024,1.58,2,2024,2024-06-30
+MSFT,Microsoft,Numeric Transeprency,CQ22024,2.84,2,2024,2024-06-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ22024,3.33,2,2024,2024-06-30
+NTAP,NetApp,Numeric Transeprency,CQ22024,2.92,2,2024,2024-06-30
+NVDA,Nvidia,Numeric Transeprency,CQ22024,1.45,2,2024,2024-06-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ22024,3.16,2,2024,2024-06-30
+TXN,Texas Instruments,Numeric Transeprency,CQ22024,1.98,2,2024,2024-06-30
+APD,Air Products,Numeric Transeprency,CQ22024,2.15,2,2024,2024-06-30
+AVY,Avery Dennison,Numeric Transeprency,CQ22024,1.6,2,2024,2024-06-30
+ECL,Ecolab,Numeric Transeprency,CQ22024,1.53,2,2024,2024-06-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ22024,1.53,2,2024,2024-06-30
+IP,International Paper,Numeric Transeprency,CQ22024,1.79,2,2024,2024-06-30
+LIN,Linde plc,Numeric Transeprency,CQ22024,1.42,2,2024,2024-06-30
+NEM,Newmont,Numeric Transeprency,CQ22024,2.54,2,2024,2024-06-30
+NUE,Nucor,Numeric Transeprency,CQ22024,1.45,2,2024,2024-06-30
+AMT,American Tower,Numeric Transeprency,CQ22024,1.95,2,2024,2024-06-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ22024,2.56,2,2024,2024-06-30
+EQR,Equity Residential,Numeric Transeprency,CQ22024,1.64,2,2024,2024-06-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ22024,2.43,2,2024,2024-06-30
+IRM,Iron Mountain,Numeric Transeprency,CQ22024,1.94,2,2024,2024-06-30
+PLD,Prologis,Numeric Transeprency,CQ22024,2.55,2,2024,2024-06-30
+VTR,Ventas,Numeric Transeprency,CQ22024,2.01,2,2024,2024-06-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ22024,1.45,2,2024,2024-06-30
+AES,AES Corporation,Numeric Transeprency,CQ22024,1.77,2,2024,2024-06-30
+AEE,Ameren,Numeric Transeprency,CQ22024,3.01,2,2024,2024-06-30
+AEP,American Electric Power,Numeric Transeprency,CQ22024,1.81,2,2024,2024-06-30
+CMS,CMS Energy,Numeric Transeprency,CQ22024,1.87,2,2024,2024-06-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ22024,2.7,2,2024,2024-06-30
+DUK,Duke Energy,Numeric Transeprency,CQ22024,2.57,2,2024,2024-06-30
+EIX,Edison International,Numeric Transeprency,CQ22024,2.35,2,2024,2024-06-30
+ETR,Entergy,Numeric Transeprency,CQ22024,1.48,2,2024,2024-06-30
+EXC,Exelon,Numeric Transeprency,CQ22024,2.75,2,2024,2024-06-30
+NEE,NextEra Energy,Numeric Transeprency,CQ22024,2.84,2,2024,2024-06-30
+SO,Southern Company,Numeric Transeprency,CQ22024,1.5,2,2024,2024-06-30
+XEL,Xcel Energy,Numeric Transeprency,CQ22024,1.48,2,2024,2024-06-30
+T,AT&T,Analyst Selectivity Ratio,CQ22024,34.78,2,2024,2024-06-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ22024,12.5,2,2024,2024-06-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ22024,,2,2024,2024-06-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ22024,12.96,2,2024,2024-06-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ22024,0.0,2,2024,2024-06-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ22024,46.15,2,2024,2024-06-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ22024,34.62,2,2024,2024-06-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ22024,9.62,2,2024,2024-06-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ22024,30.77,2,2024,2024-06-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ22024,20.69,2,2024,2024-06-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ22024,31.25,2,2024,2024-06-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ22024,26.67,2,2024,2024-06-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ22024,64.0,2,2024,2024-06-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ22024,27.27,2,2024,2024-06-30
+GM,General Motors,Analyst Selectivity Ratio,CQ22024,33.33,2,2024,2024-06-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ22024,33.33,2,2024,2024-06-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ22024,58.33,2,2024,2024-06-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ22024,16.67,2,2024,2024-06-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ22024,40.0,2,2024,2024-06-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ22024,11.76,2,2024,2024-06-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ22024,45.0,2,2024,2024-06-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ22024,34.78,2,2024,2024-06-30
+TGT,Target,Analyst Selectivity Ratio,CQ22024,13.89,2,2024,2024-06-30
+MO,Altria,Analyst Selectivity Ratio,CQ22024,36.36,2,2024,2024-06-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ22024,53.85,2,2024,2024-06-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ22024,18.75,2,2024,2024-06-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ22024,41.18,2,2024,2024-06-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ22024,60.0,2,2024,2024-06-30
+COST,Costco,Analyst Selectivity Ratio,CQ22024,33.33,2,2024,2024-06-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ22024,55.0,2,2024,2024-06-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ22024,41.18,2,2024,2024-06-30
+KR,Kroger,Analyst Selectivity Ratio,CQ22024,36.36,2,2024,2024-06-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ22024,38.46,2,2024,2024-06-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ22024,55.0,2,2024,2024-06-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ22024,57.14,2,2024,2024-06-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ22024,38.89,2,2024,2024-06-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ22024,30.77,2,2024,2024-06-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ22024,20.0,2,2024,2024-06-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ22024,,2,2024,2024-06-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ22024,36.36,2,2024,2024-06-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ22024,30.77,2,2024,2024-06-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ22024,0.0,2,2024,2024-06-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ22024,40.74,2,2024,2024-06-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ22024,35.71,2,2024,2024-06-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ22024,28.0,2,2024,2024-06-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ22024,46.67,2,2024,2024-06-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ22024,36.36,2,2024,2024-06-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ22024,35.0,2,2024,2024-06-30
+AXP,American Express,Analyst Selectivity Ratio,CQ22024,25.0,2,2024,2024-06-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ22024,17.65,2,2024,2024-06-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ22024,64.29,2,2024,2024-06-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ22024,28.57,2,2024,2024-06-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ22024,52.94,2,2024,2024-06-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ22024,30.43,2,2024,2024-06-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ22024,,2,2024,2024-06-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ22024,40.0,2,2024,2024-06-30
+CME,CME Group,Analyst Selectivity Ratio,CQ22024,73.33,2,2024,2024-06-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ22024,,2,2024,2024-06-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ22024,35.0,2,2024,2024-06-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ22024,57.14,2,2024,2024-06-30
+C,Citigroup,Analyst Selectivity Ratio,CQ22024,59.09,2,2024,2024-06-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ22024,0.0,2,2024,2024-06-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ22024,34.78,2,2024,2024-06-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ22024,27.27,2,2024,2024-06-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ22024,40.91,2,2024,2024-06-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ22024,43.75,2,2024,2024-06-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ22024,42.86,2,2024,2024-06-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ22024,31.82,2,2024,2024-06-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ22024,31.82,2,2024,2024-06-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ22024,27.78,2,2024,2024-06-30
+MET,MetLife,Analyst Selectivity Ratio,CQ22024,15.38,2,2024,2024-06-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ22024,31.82,2,2024,2024-06-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ22024,53.33,2,2024,2024-06-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ22024,33.33,2,2024,2024-06-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ22024,34.78,2,2024,2024-06-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ22024,32.0,2,2024,2024-06-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ22024,71.43,2,2024,2024-06-30
+STT,State Street,Analyst Selectivity Ratio,CQ22024,35.29,2,2024,2024-06-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ22024,54.55,2,2024,2024-06-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ22024,41.67,2,2024,2024-06-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ22024,37.5,2,2024,2024-06-30
+V,Visa,Analyst Selectivity Ratio,CQ22024,27.78,2,2024,2024-06-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ22024,34.78,2,2024,2024-06-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ22024,36.0,2,2024,2024-06-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ22024,30.0,2,2024,2024-06-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ22024,68.75,2,2024,2024-06-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ22024,40.0,2,2024,2024-06-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ22024,53.85,2,2024,2024-06-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ22024,28.57,2,2024,2024-06-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ22024,20.69,2,2024,2024-06-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ22024,32.14,2,2024,2024-06-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ22024,54.55,2,2024,2024-06-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ22024,25.0,2,2024,2024-06-30
+COR,Cencora,Analyst Selectivity Ratio,CQ22024,,2,2024,2024-06-30
+CI,Cigna,Analyst Selectivity Ratio,CQ22024,42.11,2,2024,2024-06-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ22024,57.14,2,2024,2024-06-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ22024,20.83,2,2024,2024-06-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ22024,48.0,2,2024,2024-06-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ22024,30.77,2,2024,2024-06-30
+HUM,Humana,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ22024,30.77,2,2024,2024-06-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ22024,31.58,2,2024,2024-06-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ22024,38.46,2,2024,2024-06-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ22024,25.0,2,2024,2024-06-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ22024,40.91,2,2024,2024-06-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ22024,68.42,2,2024,2024-06-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ22024,24.0,2,2024,2024-06-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ22024,29.17,2,2024,2024-06-30
+MMM,3M,Analyst Selectivity Ratio,CQ22024,87.5,2,2024,2024-06-30
+AME,Ametek,Analyst Selectivity Ratio,CQ22024,35.71,2,2024,2024-06-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ22024,27.78,2,2024,2024-06-30
+BA,Boeing,Analyst Selectivity Ratio,CQ22024,33.33,2,2024,2024-06-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ22024,56.0,2,2024,2024-06-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ22024,34.62,2,2024,2024-06-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ22024,,2,2024,2024-06-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ22024,33.33,2,2024,2024-06-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ22024,22.73,2,2024,2024-06-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ22024,47.37,2,2024,2024-06-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ22024,38.1,2,2024,2024-06-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ22024,70.0,2,2024,2024-06-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ22024,,2,2024,2024-06-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ22024,44.83,2,2024,2024-06-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ22024,62.5,2,2024,2024-06-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ22024,57.89,2,2024,2024-06-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ22024,16.67,2,2024,2024-06-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ22024,33.33,2,2024,2024-06-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ22024,36.36,2,2024,2024-06-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ22024,52.94,2,2024,2024-06-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ22024,25.0,2,2024,2024-06-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ22024,47.37,2,2024,2024-06-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ22024,38.1,2,2024,2024-06-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ22024,45.45,2,2024,2024-06-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ22024,66.67,2,2024,2024-06-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ22024,60.0,2,2024,2024-06-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ22024,44.83,2,2024,2024-06-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ22024,25.0,2,2024,2024-06-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ22024,24.0,2,2024,2024-06-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ22024,24.24,2,2024,2024-06-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ22024,40.91,2,2024,2024-06-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ22024,26.92,2,2024,2024-06-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ22024,24.39,2,2024,2024-06-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ22024,32.14,2,2024,2024-06-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ22024,29.63,2,2024,2024-06-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ22024,29.41,2,2024,2024-06-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ22024,56.25,2,2024,2024-06-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ22024,28.57,2,2024,2024-06-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ22024,35.71,2,2024,2024-06-30
+IBM,IBM,Analyst Selectivity Ratio,CQ22024,35.29,2,2024,2024-06-30
+INTC,Intel,Analyst Selectivity Ratio,CQ22024,20.0,2,2024,2024-06-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ22024,57.14,2,2024,2024-06-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ22024,40.74,2,2024,2024-06-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ22024,20.0,2,2024,2024-06-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ22024,10.0,2,2024,2024-06-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ22024,18.18,2,2024,2024-06-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ22024,55.56,2,2024,2024-06-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ22024,13.21,2,2024,2024-06-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ22024,22.22,2,2024,2024-06-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ22024,27.59,2,2024,2024-06-30
+APD,Air Products,Analyst Selectivity Ratio,CQ22024,55.56,2,2024,2024-06-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ22024,66.67,2,2024,2024-06-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ22024,56.25,2,2024,2024-06-30
+IP,International Paper,Analyst Selectivity Ratio,CQ22024,62.5,2,2024,2024-06-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ22024,28.57,2,2024,2024-06-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ22024,26.32,2,2024,2024-06-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ22024,30.77,2,2024,2024-06-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ22024,53.85,2,2024,2024-06-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ22024,62.5,2,2024,2024-06-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ22024,12.5,2,2024,2024-06-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ22024,50.0,2,2024,2024-06-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ22024,40.0,2,2024,2024-06-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ22024,83.33,2,2024,2024-06-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ22024,41.67,2,2024,2024-06-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ22024,33.33,2,2024,2024-06-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ22024,30.0,2,2024,2024-06-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ22024,23.53,2,2024,2024-06-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ22024,26.67,2,2024,2024-06-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ22024,33.33,2,2024,2024-06-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ22024,20.0,2,2024,2024-06-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ22024,44.44,2,2024,2024-06-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ22024,5.88,2,2024,2024-06-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ22024,23.81,2,2024,2024-06-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ22024,47.37,2,2024,2024-06-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ22024,40.0,2,2024,2024-06-30
+T,AT&T,Language Complexity,CQ22024,12.12,2,2024,2024-06-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ22024,13.07,2,2024,2024-06-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ22024,,2,2024,2024-06-30
+META,Meta Platforms,Language Complexity,CQ22024,13.66,2,2024,2024-06-30
+NFLX,Netflix,Language Complexity,CQ22024,10.6,2,2024,2024-06-30
+NWSA,News Corp (Class A),Language Complexity,CQ22024,14.84,2,2024,2024-06-30
+OMC,Omnicom Group,Language Complexity,CQ22024,12.77,2,2024,2024-06-30
+VZ,Verizon,Language Complexity,CQ22024,10.78,2,2024,2024-06-30
+AMZN,Amazon,Language Complexity,CQ22024,13.84,2,2024,2024-06-30
+AZO,AutoZone,Language Complexity,CQ22024,11.95,2,2024,2024-06-30
+BBY,Best Buy,Language Complexity,CQ22024,13.47,2,2024,2024-06-30
+BKNG,Booking Holdings,Language Complexity,CQ22024,12.57,2,2024,2024-06-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ22024,11.78,2,2024,2024-06-30
+DRI,Darden Restaurants,Language Complexity,CQ22024,10.77,2,2024,2024-06-30
+F,Ford Motor Company,Language Complexity,CQ22024,10.69,2,2024,2024-06-30
+GM,General Motors,Language Complexity,CQ22024,11.73,2,2024,2024-06-30
+GPC,Genuine Parts Company,Language Complexity,CQ22024,13.0,2,2024,2024-06-30
+HAS,Hasbro,Language Complexity,CQ22024,11.26,2,2024,2024-06-30
+LOW,Lowe's,Language Complexity,CQ22024,13.19,2,2024,2024-06-30
+MCD,McDonald's,Language Complexity,CQ22024,14.03,2,2024,2024-06-30
+NKE,"Nike, Inc.",Language Complexity,CQ22024,12.81,2,2024,2024-06-30
+ROST,Ross Stores,Language Complexity,CQ22024,10.7,2,2024,2024-06-30
+TJX,TJX Companies,Language Complexity,CQ22024,11.44,2,2024,2024-06-30
+TGT,Target,Language Complexity,CQ22024,14.55,2,2024,2024-06-30
+MO,Altria,Language Complexity,CQ22024,13.28,2,2024,2024-06-30
+ADM,Archer Daniels Midland,Language Complexity,CQ22024,12.32,2,2024,2024-06-30
+BF.B,Brown-Forman,Language Complexity,CQ22024,13.62,2,2024,2024-06-30
+CLX,Clorox,Language Complexity,CQ22024,11.35,2,2024,2024-06-30
+KO,Coca-Cola Company,Language Complexity,CQ22024,12.73,2,2024,2024-06-30
+COST,Costco,Language Complexity,CQ22024,11.45,2,2024,2024-06-30
+GIS,General Mills,Language Complexity,CQ22024,10.61,2,2024,2024-06-30
+HSY,Hershey Company,Language Complexity,CQ22024,10.46,2,2024,2024-06-30
+KMB,Kimberly-Clark,Language Complexity,CQ22024,10.9,2,2024,2024-06-30
+KR,Kroger,Language Complexity,CQ22024,12.69,2,2024,2024-06-30
+MKC,McCormick & Company,Language Complexity,CQ22024,13.18,2,2024,2024-06-30
+PEP,PepsiCo,Language Complexity,CQ22024,12.33,2,2024,2024-06-30
+PG,Procter & Gamble,Language Complexity,CQ22024,11.7,2,2024,2024-06-30
+SYY,Sysco,Language Complexity,CQ22024,11.87,2,2024,2024-06-30
+WMT,Walmart,Language Complexity,CQ22024,12.11,2,2024,2024-06-30
+APA,APA Corporation,Language Complexity,CQ22024,11.39,2,2024,2024-06-30
+CVX,Chevron Corporation,Language Complexity,CQ22024,,2,2024,2024-06-30
+CTRA,Coterra Energy,Language Complexity,CQ22024,10.53,2,2024,2024-06-30
+EOG,EOG Resources,Language Complexity,CQ22024,12.53,2,2024,2024-06-30
+XOM,ExxonMobil,Language Complexity,CQ22024,15.34,2,2024,2024-06-30
+HAL,Halliburton,Language Complexity,CQ22024,11.13,2,2024,2024-06-30
+OXY,Occidental Petroleum,Language Complexity,CQ22024,13.2,2,2024,2024-06-30
+SLB,Schlumberger,Language Complexity,CQ22024,15.09,2,2024,2024-06-30
+VLO,Valero Energy,Language Complexity,CQ22024,11.37,2,2024,2024-06-30
+AFL,Aflac,Language Complexity,CQ22024,11.98,2,2024,2024-06-30
+ALL,Allstate,Language Complexity,CQ22024,12.43,2,2024,2024-06-30
+AXP,American Express,Language Complexity,CQ22024,10.69,2,2024,2024-06-30
+AIG,American International Group,Language Complexity,CQ22024,14.76,2,2024,2024-06-30
+AMP,Ameriprise Financial,Language Complexity,CQ22024,12.01,2,2024,2024-06-30
+AON,Aon plc,Language Complexity,CQ22024,13.74,2,2024,2024-06-30
+BK,BNY Mellon,Language Complexity,CQ22024,11.83,2,2024,2024-06-30
+BAC,Bank of America,Language Complexity,CQ22024,11.63,2,2024,2024-06-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ22024,,2,2024,2024-06-30
+BLK,BlackRock,Language Complexity,CQ22024,13.47,2,2024,2024-06-30
+CME,CME Group,Language Complexity,CQ22024,10.99,2,2024,2024-06-30
+SCHW,Charles Schwab,Language Complexity,CQ22024,,2,2024,2024-06-30
+CB,Chubb Limited,Language Complexity,CQ22024,11.33,2,2024,2024-06-30
+CINF,Cincinnati Financial,Language Complexity,CQ22024,12.47,2,2024,2024-06-30
+C,Citigroup,Language Complexity,CQ22024,12.37,2,2024,2024-06-30
+FIS,Fidelity National Information Services,Language Complexity,CQ22024,14.76,2,2024,2024-06-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ22024,12.81,2,2024,2024-06-30
+FISV,Fiserv,Language Complexity,CQ22024,12.58,2,2024,2024-06-30
+GS,Goldman Sachs,Language Complexity,CQ22024,12.06,2,2024,2024-06-30
+HIG,Hartford Financial,Language Complexity,CQ22024,12.12,2,2024,2024-06-30
+ICE,Intercontinental Exchange,Language Complexity,CQ22024,14.13,2,2024,2024-06-30
+IVZ,Invesco,Language Complexity,CQ22024,13.31,2,2024,2024-06-30
+JPM,JPMorgan Chase,Language Complexity,CQ22024,10.95,2,2024,2024-06-30
+KEY,KeyCorp,Language Complexity,CQ22024,11.2,2,2024,2024-06-30
+MA,Mastercard,Language Complexity,CQ22024,12.65,2,2024,2024-06-30
+MET,MetLife,Language Complexity,CQ22024,12.66,2,2024,2024-06-30
+MS,Morgan Stanley,Language Complexity,CQ22024,12.71,2,2024,2024-06-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ22024,13.41,2,2024,2024-06-30
+NTRS,Northern Trust,Language Complexity,CQ22024,12.35,2,2024,2024-06-30
+PNC,PNC Financial Services,Language Complexity,CQ22024,10.48,2,2024,2024-06-30
+PRU,Prudential Financial,Language Complexity,CQ22024,14.19,2,2024,2024-06-30
+RF,Regions Financial,Language Complexity,CQ22024,11.2,2,2024,2024-06-30
+SPGI,S&P Global,Language Complexity,CQ22024,13.15,2,2024,2024-06-30
+STT,State Street,Language Complexity,CQ22024,12.73,2,2024,2024-06-30
+TROW,T. Rowe Price,Language Complexity,CQ22024,13.6,2,2024,2024-06-30
+TRV,Travelers Companies,Language Complexity,CQ22024,12.79,2,2024,2024-06-30
+USB,U.S. Bancorp,Language Complexity,CQ22024,10.26,2,2024,2024-06-30
+V,Visa,Language Complexity,CQ22024,12.56,2,2024,2024-06-30
+WFC,Wells Fargo,Language Complexity,CQ22024,11.96,2,2024,2024-06-30
+ABBV,AbbVie,Language Complexity,CQ22024,12.4,2,2024,2024-06-30
+ABT,Abbott Laboratories,Language Complexity,CQ22024,11.32,2,2024,2024-06-30
+A,Agilent Technologies,Language Complexity,CQ22024,11.09,2,2024,2024-06-30
+AMGN,Amgen,Language Complexity,CQ22024,13.11,2,2024,2024-06-30
+BAX,Baxter International,Language Complexity,CQ22024,13.4,2,2024,2024-06-30
+BDX,Becton Dickinson,Language Complexity,CQ22024,13.18,2,2024,2024-06-30
+BIIB,Biogen,Language Complexity,CQ22024,11.95,2,2024,2024-06-30
+BSX,Boston Scientific,Language Complexity,CQ22024,12.33,2,2024,2024-06-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ22024,11.8,2,2024,2024-06-30
+CVS,CVS Health,Language Complexity,CQ22024,13.97,2,2024,2024-06-30
+COR,Cencora,Language Complexity,CQ22024,,2,2024,2024-06-30
+CI,Cigna,Language Complexity,CQ22024,13.92,2,2024,2024-06-30
+DVA,DaVita,Language Complexity,CQ22024,11.03,2,2024,2024-06-30
+DHR,Danaher Corporation,Language Complexity,CQ22024,12.62,2,2024,2024-06-30
+LLY,Eli Lilly,Language Complexity,CQ22024,12.1,2,2024,2024-06-30
+GILD,Gilead Sciences,Language Complexity,CQ22024,12.68,2,2024,2024-06-30
+HUM,Humana,Language Complexity,CQ22024,13.56,2,2024,2024-06-30
+ISRG,Intuitive Surgical,Language Complexity,CQ22024,12.03,2,2024,2024-06-30
+JNJ,Johnson & Johnson,Language Complexity,CQ22024,13.67,2,2024,2024-06-30
+LH,Labcorp,Language Complexity,CQ22024,11.93,2,2024,2024-06-30
+MCK,McKesson Corporation,Language Complexity,CQ22024,15.03,2,2024,2024-06-30
+MDT,Medtronic,Language Complexity,CQ22024,11.9,2,2024,2024-06-30
+MRK,Merck & Co.,Language Complexity,CQ22024,12.92,2,2024,2024-06-30
+PFE,Pfizer,Language Complexity,CQ22024,11.84,2,2024,2024-06-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ22024,12.42,2,2024,2024-06-30
+WAT,Waters Corporation,Language Complexity,CQ22024,12.48,2,2024,2024-06-30
+ZBH,Zimmer Biomet,Language Complexity,CQ22024,11.1,2,2024,2024-06-30
+MMM,3M,Language Complexity,CQ22024,11.54,2,2024,2024-06-30
+AME,Ametek,Language Complexity,CQ22024,11.91,2,2024,2024-06-30
+ADP,Automatic Data Processing,Language Complexity,CQ22024,11.92,2,2024,2024-06-30
+BA,Boeing,Language Complexity,CQ22024,11.24,2,2024,2024-06-30
+CSX,CSX Corporation,Language Complexity,CQ22024,11.89,2,2024,2024-06-30
+CAT,Caterpillar Inc.,Language Complexity,CQ22024,12.91,2,2024,2024-06-30
+CTAS,Cintas,Language Complexity,CQ22024,,2,2024,2024-06-30
+CMI,Cummins,Language Complexity,CQ22024,12.66,2,2024,2024-06-30
+DE,Deere & Company,Language Complexity,CQ22024,12.22,2,2024,2024-06-30
+ETN,Eaton Corporation,Language Complexity,CQ22024,11.71,2,2024,2024-06-30
+EMR,Emerson Electric,Language Complexity,CQ22024,12.6,2,2024,2024-06-30
+EFX,Equifax,Language Complexity,CQ22024,12.0,2,2024,2024-06-30
+EXPD,Expeditors International,Language Complexity,CQ22024,,2,2024,2024-06-30
+FDX,FedEx,Language Complexity,CQ22024,12.6,2,2024,2024-06-30
+GE,GE Aerospace,Language Complexity,CQ22024,11.84,2,2024,2024-06-30
+GD,General Dynamics,Language Complexity,CQ22024,10.59,2,2024,2024-06-30
+ITW,Illinois Tool Works,Language Complexity,CQ22024,11.64,2,2024,2024-06-30
+LMT,Lockheed Martin,Language Complexity,CQ22024,13.11,2,2024,2024-06-30
+NSC,Norfolk Southern,Language Complexity,CQ22024,12.88,2,2024,2024-06-30
+NOC,Northrop Grumman,Language Complexity,CQ22024,12.39,2,2024,2024-06-30
+PCAR,Paccar,Language Complexity,CQ22024,10.48,2,2024,2024-06-30
+RTX,RTX Corporation,Language Complexity,CQ22024,11.35,2,2024,2024-06-30
+ROK,Rockwell Automation,Language Complexity,CQ22024,12.16,2,2024,2024-06-30
+ROP,Roper Technologies,Language Complexity,CQ22024,10.84,2,2024,2024-06-30
+SNA,Snap-on,Language Complexity,CQ22024,11.67,2,2024,2024-06-30
+SWK,Stanley Black & Decker,Language Complexity,CQ22024,13.33,2,2024,2024-06-30
+UPS,United Parcel Service,Language Complexity,CQ22024,10.72,2,2024,2024-06-30
+WM,Waste Management,Language Complexity,CQ22024,12.36,2,2024,2024-06-30
+ACN,Accenture,Language Complexity,CQ22024,13.31,2,2024,2024-06-30
+ADBE,Adobe Inc.,Language Complexity,CQ22024,14.86,2,2024,2024-06-30
+AKAM,Akamai Technologies,Language Complexity,CQ22024,11.79,2,2024,2024-06-30
+APH,Amphenol,Language Complexity,CQ22024,13.28,2,2024,2024-06-30
+ADI,Analog Devices,Language Complexity,CQ22024,12.47,2,2024,2024-06-30
+AAPL,Apple Inc.,Language Complexity,CQ22024,11.42,2,2024,2024-06-30
+AMAT,Applied Materials,Language Complexity,CQ22024,12.04,2,2024,2024-06-30
+ADSK,Autodesk,Language Complexity,CQ22024,12.75,2,2024,2024-06-30
+AVGO,Broadcom,Language Complexity,CQ22024,11.75,2,2024,2024-06-30
+CSCO,Cisco,Language Complexity,CQ22024,11.84,2,2024,2024-06-30
+CTSH,Cognizant,Language Complexity,CQ22024,12.9,2,2024,2024-06-30
+HPQ,HP Inc.,Language Complexity,CQ22024,12.8,2,2024,2024-06-30
+IBM,IBM,Language Complexity,CQ22024,12.8,2,2024,2024-06-30
+INTC,Intel,Language Complexity,CQ22024,12.12,2,2024,2024-06-30
+INTU,Intuit,Language Complexity,CQ22024,12.26,2,2024,2024-06-30
+LRCX,Lam Research,Language Complexity,CQ22024,11.29,2,2024,2024-06-30
+MU,Micron Technology,Language Complexity,CQ22024,11.37,2,2024,2024-06-30
+MSFT,Microsoft,Language Complexity,CQ22024,13.53,2,2024,2024-06-30
+MSI,Motorola Solutions,Language Complexity,CQ22024,11.56,2,2024,2024-06-30
+NTAP,NetApp,Language Complexity,CQ22024,12.26,2,2024,2024-06-30
+NVDA,Nvidia,Language Complexity,CQ22024,12.68,2,2024,2024-06-30
+ORCL,Oracle Corporation,Language Complexity,CQ22024,11.38,2,2024,2024-06-30
+TXN,Texas Instruments,Language Complexity,CQ22024,9.82,2,2024,2024-06-30
+APD,Air Products,Language Complexity,CQ22024,10.42,2,2024,2024-06-30
+AVY,Avery Dennison,Language Complexity,CQ22024,13.48,2,2024,2024-06-30
+ECL,Ecolab,Language Complexity,CQ22024,11.64,2,2024,2024-06-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ22024,12.71,2,2024,2024-06-30
+IP,International Paper,Language Complexity,CQ22024,12.25,2,2024,2024-06-30
+LIN,Linde plc,Language Complexity,CQ22024,11.7,2,2024,2024-06-30
+NEM,Newmont,Language Complexity,CQ22024,13.02,2,2024,2024-06-30
+NUE,Nucor,Language Complexity,CQ22024,11.49,2,2024,2024-06-30
+AMT,American Tower,Language Complexity,CQ22024,13.48,2,2024,2024-06-30
+AVB,AvalonBay Communities,Language Complexity,CQ22024,11.39,2,2024,2024-06-30
+EQR,Equity Residential,Language Complexity,CQ22024,12.15,2,2024,2024-06-30
+DOC,Healthpeak Properties,Language Complexity,CQ22024,11.11,2,2024,2024-06-30
+IRM,Iron Mountain,Language Complexity,CQ22024,12.75,2,2024,2024-06-30
+PLD,Prologis,Language Complexity,CQ22024,11.03,2,2024,2024-06-30
+VTR,Ventas,Language Complexity,CQ22024,11.71,2,2024,2024-06-30
+WY,Weyerhaeuser,Language Complexity,CQ22024,11.61,2,2024,2024-06-30
+AES,AES Corporation,Language Complexity,CQ22024,11.65,2,2024,2024-06-30
+AEE,Ameren,Language Complexity,CQ22024,14.05,2,2024,2024-06-30
+AEP,American Electric Power,Language Complexity,CQ22024,11.45,2,2024,2024-06-30
+CMS,CMS Energy,Language Complexity,CQ22024,12.52,2,2024,2024-06-30
+CNP,CenterPoint Energy,Language Complexity,CQ22024,15.16,2,2024,2024-06-30
+DUK,Duke Energy,Language Complexity,CQ22024,12.74,2,2024,2024-06-30
+EIX,Edison International,Language Complexity,CQ22024,13.56,2,2024,2024-06-30
+ETR,Entergy,Language Complexity,CQ22024,13.31,2,2024,2024-06-30
+EXC,Exelon,Language Complexity,CQ22024,16.51,2,2024,2024-06-30
+NEE,NextEra Energy,Language Complexity,CQ22024,14.03,2,2024,2024-06-30
+SO,Southern Company,Language Complexity,CQ22024,13.16,2,2024,2024-06-30
+XEL,Xcel Energy,Language Complexity,CQ22024,13.8,2,2024,2024-06-30
+T,AT&T,Net Positivity,CQ32024,1.62,3,2024,2024-09-30
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ32024,2.44,3,2024,2024-09-30
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ32024,,3,2024,2024-09-30
+META,Meta Platforms,Net Positivity,CQ32024,2.4,3,2024,2024-09-30
+NFLX,Netflix,Net Positivity,CQ32024,2.32,3,2024,2024-09-30
+NWSA,News Corp (Class A),Net Positivity,CQ32024,1.45,3,2024,2024-09-30
+OMC,Omnicom Group,Net Positivity,CQ32024,1.36,3,2024,2024-09-30
+VZ,Verizon,Net Positivity,CQ32024,2.22,3,2024,2024-09-30
+AMZN,Amazon,Net Positivity,CQ32024,1.25,3,2024,2024-09-30
+AZO,AutoZone,Net Positivity,CQ32024,1.41,3,2024,2024-09-30
+BBY,Best Buy,Net Positivity,CQ32024,1.59,3,2024,2024-09-30
+BKNG,Booking Holdings,Net Positivity,CQ32024,1.7,3,2024,2024-09-30
+CMG,Chipotle Mexican Grill,Net Positivity,CQ32024,2.89,3,2024,2024-09-30
+DRI,Darden Restaurants,Net Positivity,CQ32024,0.93,3,2024,2024-09-30
+F,Ford Motor Company,Net Positivity,CQ32024,1.17,3,2024,2024-09-30
+GM,General Motors,Net Positivity,CQ32024,1.73,3,2024,2024-09-30
+GPC,Genuine Parts Company,Net Positivity,CQ32024,1.14,3,2024,2024-09-30
+HAS,Hasbro,Net Positivity,CQ32024,1.05,3,2024,2024-09-30
+LOW,Lowe's,Net Positivity,CQ32024,1.5,3,2024,2024-09-30
+MCD,McDonald's,Net Positivity,CQ32024,1.46,3,2024,2024-09-30
+NKE,"Nike, Inc.",Net Positivity,CQ32024,,3,2024,2024-09-30
+ROST,Ross Stores,Net Positivity,CQ32024,1.17,3,2024,2024-09-30
+TJX,TJX Companies,Net Positivity,CQ32024,2.14,3,2024,2024-09-30
+TGT,Target,Net Positivity,CQ32024,2.01,3,2024,2024-09-30
+MO,Altria,Net Positivity,CQ32024,-0.25,3,2024,2024-09-30
+ADM,Archer Daniels Midland,Net Positivity,CQ32024,1.68,3,2024,2024-09-30
+BF.B,Brown-Forman,Net Positivity,CQ32024,0.47,3,2024,2024-09-30
+CLX,Clorox,Net Positivity,CQ32024,1.25,3,2024,2024-09-30
+KO,Coca-Cola Company,Net Positivity,CQ32024,1.75,3,2024,2024-09-30
+COST,Costco,Net Positivity,CQ32024,1.74,3,2024,2024-09-30
+GIS,General Mills,Net Positivity,CQ32024,1.73,3,2024,2024-09-30
+HSY,Hershey Company,Net Positivity,CQ32024,0.88,3,2024,2024-09-30
+KMB,Kimberly-Clark,Net Positivity,CQ32024,2.0,3,2024,2024-09-30
+KR,Kroger,Net Positivity,CQ32024,2.36,3,2024,2024-09-30
+MKC,McCormick & Company,Net Positivity,CQ32024,,3,2024,2024-09-30
+PEP,PepsiCo,Net Positivity,CQ32024,1.45,3,2024,2024-09-30
+PG,Procter & Gamble,Net Positivity,CQ32024,1.7,3,2024,2024-09-30
+SYY,Sysco,Net Positivity,CQ32024,2.86,3,2024,2024-09-30
+WMT,Walmart,Net Positivity,CQ32024,2.13,3,2024,2024-09-30
+APA,APA Corporation,Net Positivity,CQ32024,0.71,3,2024,2024-09-30
+CVX,Chevron Corporation,Net Positivity,CQ32024,,3,2024,2024-09-30
+CTRA,Coterra Energy,Net Positivity,CQ32024,0.93,3,2024,2024-09-30
+EOG,EOG Resources,Net Positivity,CQ32024,0.93,3,2024,2024-09-30
+XOM,ExxonMobil,Net Positivity,CQ32024,1.35,3,2024,2024-09-30
+HAL,Halliburton,Net Positivity,CQ32024,1.84,3,2024,2024-09-30
+OXY,Occidental Petroleum,Net Positivity,CQ32024,2.07,3,2024,2024-09-30
+SLB,Schlumberger,Net Positivity,CQ32024,1.68,3,2024,2024-09-30
+VLO,Valero Energy,Net Positivity,CQ32024,0.45,3,2024,2024-09-30
+AFL,Aflac,Net Positivity,CQ32024,1.55,3,2024,2024-09-30
+ALL,Allstate,Net Positivity,CQ32024,1.15,3,2024,2024-09-30
+AXP,American Express,Net Positivity,CQ32024,1.63,3,2024,2024-09-30
+AIG,American International Group,Net Positivity,CQ32024,0.16,3,2024,2024-09-30
+AMP,Ameriprise Financial,Net Positivity,CQ32024,1.62,3,2024,2024-09-30
+AON,Aon plc,Net Positivity,CQ32024,1.87,3,2024,2024-09-30
+BK,BNY Mellon,Net Positivity,CQ32024,1.67,3,2024,2024-09-30
+BAC,Bank of America,Net Positivity,CQ32024,0.78,3,2024,2024-09-30
+BRK.B,Berkshire Hathaway,Net Positivity,CQ32024,,3,2024,2024-09-30
+BLK,BlackRock,Net Positivity,CQ32024,1.85,3,2024,2024-09-30
+CME,CME Group,Net Positivity,CQ32024,0.93,3,2024,2024-09-30
+SCHW,Charles Schwab,Net Positivity,CQ32024,,3,2024,2024-09-30
+CB,Chubb Limited,Net Positivity,CQ32024,-0.26,3,2024,2024-09-30
+CINF,Cincinnati Financial,Net Positivity,CQ32024,0.12,3,2024,2024-09-30
+C,Citigroup,Net Positivity,CQ32024,0.65,3,2024,2024-09-30
+FIS,Fidelity National Information Services,Net Positivity,CQ32024,1.96,3,2024,2024-09-30
+FITB,Fifth Third Bancorp,Net Positivity,CQ32024,0.78,3,2024,2024-09-30
+FISV,Fiserv,Net Positivity,CQ32024,1.43,3,2024,2024-09-30
+GS,Goldman Sachs,Net Positivity,CQ32024,1.19,3,2024,2024-09-30
+HIG,Hartford Financial,Net Positivity,CQ32024,1.2,3,2024,2024-09-30
+ICE,Intercontinental Exchange,Net Positivity,CQ32024,1.09,3,2024,2024-09-30
+IVZ,Invesco,Net Positivity,CQ32024,2.0,3,2024,2024-09-30
+JPM,JPMorgan Chase,Net Positivity,CQ32024,0.35,3,2024,2024-09-30
+KEY,KeyCorp,Net Positivity,CQ32024,0.55,3,2024,2024-09-30
+MA,Mastercard,Net Positivity,CQ32024,1.2,3,2024,2024-09-30
+MET,MetLife,Net Positivity,CQ32024,1.63,3,2024,2024-09-30
+MS,Morgan Stanley,Net Positivity,CQ32024,1.04,3,2024,2024-09-30
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ32024,1.35,3,2024,2024-09-30
+NTRS,Northern Trust,Net Positivity,CQ32024,0.84,3,2024,2024-09-30
+PNC,PNC Financial Services,Net Positivity,CQ32024,0.36,3,2024,2024-09-30
+PRU,Prudential Financial,Net Positivity,CQ32024,1.97,3,2024,2024-09-30
+RF,Regions Financial,Net Positivity,CQ32024,0.87,3,2024,2024-09-30
+SPGI,S&P Global,Net Positivity,CQ32024,1.62,3,2024,2024-09-30
+STT,State Street,Net Positivity,CQ32024,0.98,3,2024,2024-09-30
+TROW,T. Rowe Price,Net Positivity,CQ32024,1.69,3,2024,2024-09-30
+TRV,Travelers Companies,Net Positivity,CQ32024,0.9,3,2024,2024-09-30
+USB,U.S. Bancorp,Net Positivity,CQ32024,0.47,3,2024,2024-09-30
+V,Visa,Net Positivity,CQ32024,1.5,3,2024,2024-09-30
+WFC,Wells Fargo,Net Positivity,CQ32024,0.31,3,2024,2024-09-30
+ABBV,AbbVie,Net Positivity,CQ32024,1.3,3,2024,2024-09-30
+ABT,Abbott Laboratories,Net Positivity,CQ32024,1.57,3,2024,2024-09-30
+A,Agilent Technologies,Net Positivity,CQ32024,1.24,3,2024,2024-09-30
+AMGN,Amgen,Net Positivity,CQ32024,1.35,3,2024,2024-09-30
+BAX,Baxter International,Net Positivity,CQ32024,1.43,3,2024,2024-09-30
+BDX,Becton Dickinson,Net Positivity,CQ32024,2.45,3,2024,2024-09-30
+BIIB,Biogen,Net Positivity,CQ32024,0.93,3,2024,2024-09-30
+BSX,Boston Scientific,Net Positivity,CQ32024,1.34,3,2024,2024-09-30
+BMY,Bristol Myers Squibb,Net Positivity,CQ32024,1.06,3,2024,2024-09-30
+CVS,CVS Health,Net Positivity,CQ32024,1.43,3,2024,2024-09-30
+COR,Cencora,Net Positivity,CQ32024,,3,2024,2024-09-30
+CI,Cigna,Net Positivity,CQ32024,1.58,3,2024,2024-09-30
+DVA,DaVita,Net Positivity,CQ32024,-0.07,3,2024,2024-09-30
+DHR,Danaher Corporation,Net Positivity,CQ32024,0.86,3,2024,2024-09-30
+LLY,Eli Lilly,Net Positivity,CQ32024,0.56,3,2024,2024-09-30
+GILD,Gilead Sciences,Net Positivity,CQ32024,1.06,3,2024,2024-09-30
+HUM,Humana,Net Positivity,CQ32024,1.16,3,2024,2024-09-30
+ISRG,Intuitive Surgical,Net Positivity,CQ32024,1.0,3,2024,2024-09-30
+JNJ,Johnson & Johnson,Net Positivity,CQ32024,1.7,3,2024,2024-09-30
+LH,Labcorp,Net Positivity,CQ32024,1.41,3,2024,2024-09-30
+MCK,McKesson Corporation,Net Positivity,CQ32024,1.32,3,2024,2024-09-30
+MDT,Medtronic,Net Positivity,CQ32024,1.51,3,2024,2024-09-30
+MRK,Merck & Co.,Net Positivity,CQ32024,1.45,3,2024,2024-09-30
+PFE,Pfizer,Net Positivity,CQ32024,1.74,3,2024,2024-09-30
+TMO,Thermo Fisher Scientific,Net Positivity,CQ32024,2.76,3,2024,2024-09-30
+WAT,Waters Corporation,Net Positivity,CQ32024,1.26,3,2024,2024-09-30
+ZBH,Zimmer Biomet,Net Positivity,CQ32024,1.54,3,2024,2024-09-30
+MMM,3M,Net Positivity,CQ32024,1.13,3,2024,2024-09-30
+AME,Ametek,Net Positivity,CQ32024,0.96,3,2024,2024-09-30
+ADP,Automatic Data Processing,Net Positivity,CQ32024,1.74,3,2024,2024-09-30
+BA,Boeing,Net Positivity,CQ32024,1.06,3,2024,2024-09-30
+CSX,CSX Corporation,Net Positivity,CQ32024,1.72,3,2024,2024-09-30
+CAT,Caterpillar Inc.,Net Positivity,CQ32024,1.23,3,2024,2024-09-30
+CTAS,Cintas,Net Positivity,CQ32024,1.67,3,2024,2024-09-30
+CMI,Cummins,Net Positivity,CQ32024,1.21,3,2024,2024-09-30
+DE,Deere & Company,Net Positivity,CQ32024,0.5,3,2024,2024-09-30
+ETN,Eaton Corporation,Net Positivity,CQ32024,0.8,3,2024,2024-09-30
+EMR,Emerson Electric,Net Positivity,CQ32024,1.14,3,2024,2024-09-30
+EFX,Equifax,Net Positivity,CQ32024,1.33,3,2024,2024-09-30
+EXPD,Expeditors International,Net Positivity,CQ32024,,3,2024,2024-09-30
+FDX,FedEx,Net Positivity,CQ32024,1.49,3,2024,2024-09-30
+GE,GE Aerospace,Net Positivity,CQ32024,1.41,3,2024,2024-09-30
+GD,General Dynamics,Net Positivity,CQ32024,0.67,3,2024,2024-09-30
+ITW,Illinois Tool Works,Net Positivity,CQ32024,1.39,3,2024,2024-09-30
+LMT,Lockheed Martin,Net Positivity,CQ32024,1.1,3,2024,2024-09-30
+NSC,Norfolk Southern,Net Positivity,CQ32024,1.58,3,2024,2024-09-30
+NOC,Northrop Grumman,Net Positivity,CQ32024,1.22,3,2024,2024-09-30
+PCAR,Paccar,Net Positivity,CQ32024,1.77,3,2024,2024-09-30
+RTX,RTX Corporation,Net Positivity,CQ32024,1.05,3,2024,2024-09-30
+ROK,Rockwell Automation,Net Positivity,CQ32024,0.7,3,2024,2024-09-30
+ROP,Roper Technologies,Net Positivity,CQ32024,1.75,3,2024,2024-09-30
+SNA,Snap-on,Net Positivity,CQ32024,0.37,3,2024,2024-09-30
+SWK,Stanley Black & Decker,Net Positivity,CQ32024,2.18,3,2024,2024-09-30
+UPS,United Parcel Service,Net Positivity,CQ32024,1.12,3,2024,2024-09-30
+WM,Waste Management,Net Positivity,CQ32024,1.05,3,2024,2024-09-30
+ACN,Accenture,Net Positivity,CQ32024,1.07,3,2024,2024-09-30
+ADBE,Adobe Inc.,Net Positivity,CQ32024,2.9,3,2024,2024-09-30
+AKAM,Akamai Technologies,Net Positivity,CQ32024,0.79,3,2024,2024-09-30
+APH,Amphenol,Net Positivity,CQ32024,1.47,3,2024,2024-09-30
+ADI,Analog Devices,Net Positivity,CQ32024,0.82,3,2024,2024-09-30
+AAPL,Apple Inc.,Net Positivity,CQ32024,1.57,3,2024,2024-09-30
+AMAT,Applied Materials,Net Positivity,CQ32024,2.07,3,2024,2024-09-30
+ADSK,Autodesk,Net Positivity,CQ32024,1.69,3,2024,2024-09-30
+AVGO,Broadcom,Net Positivity,CQ32024,0.55,3,2024,2024-09-30
+CSCO,Cisco,Net Positivity,CQ32024,1.13,3,2024,2024-09-30
+CTSH,Cognizant,Net Positivity,CQ32024,1.55,3,2024,2024-09-30
+HPQ,HP Inc.,Net Positivity,CQ32024,1.73,3,2024,2024-09-30
+IBM,IBM,Net Positivity,CQ32024,1.5,3,2024,2024-09-30
+INTC,Intel,Net Positivity,CQ32024,1.73,3,2024,2024-09-30
+INTU,Intuit,Net Positivity,CQ32024,1.52,3,2024,2024-09-30
+LRCX,Lam Research,Net Positivity,CQ32024,1.24,3,2024,2024-09-30
+MU,Micron Technology,Net Positivity,CQ32024,1.5,3,2024,2024-09-30
+MSFT,Microsoft,Net Positivity,CQ32024,0.77,3,2024,2024-09-30
+MSI,Motorola Solutions,Net Positivity,CQ32024,1.69,3,2024,2024-09-30
+NTAP,NetApp,Net Positivity,CQ32024,1.71,3,2024,2024-09-30
+NVDA,Nvidia,Net Positivity,CQ32024,0.88,3,2024,2024-09-30
+ORCL,Oracle Corporation,Net Positivity,CQ32024,0.63,3,2024,2024-09-30
+TXN,Texas Instruments,Net Positivity,CQ32024,1.24,3,2024,2024-09-30
+APD,Air Products,Net Positivity,CQ32024,0.91,3,2024,2024-09-30
+AVY,Avery Dennison,Net Positivity,CQ32024,0.82,3,2024,2024-09-30
+ECL,Ecolab,Net Positivity,CQ32024,2.04,3,2024,2024-09-30
+IFF,International Flavors & Fragrances,Net Positivity,CQ32024,2.58,3,2024,2024-09-30
+IP,International Paper,Net Positivity,CQ32024,1.16,3,2024,2024-09-30
+LIN,Linde plc,Net Positivity,CQ32024,0.69,3,2024,2024-09-30
+NEM,Newmont,Net Positivity,CQ32024,0.83,3,2024,2024-09-30
+NUE,Nucor,Net Positivity,CQ32024,0.83,3,2024,2024-09-30
+AMT,American Tower,Net Positivity,CQ32024,1.16,3,2024,2024-09-30
+AVB,AvalonBay Communities,Net Positivity,CQ32024,0.56,3,2024,2024-09-30
+EQR,Equity Residential,Net Positivity,CQ32024,1.11,3,2024,2024-09-30
+DOC,Healthpeak Properties,Net Positivity,CQ32024,1.66,3,2024,2024-09-30
+IRM,Iron Mountain,Net Positivity,CQ32024,1.82,3,2024,2024-09-30
+PLD,Prologis,Net Positivity,CQ32024,0.9,3,2024,2024-09-30
+VTR,Ventas,Net Positivity,CQ32024,2.47,3,2024,2024-09-30
+WY,Weyerhaeuser,Net Positivity,CQ32024,0.53,3,2024,2024-09-30
+AES,AES Corporation,Net Positivity,CQ32024,1.07,3,2024,2024-09-30
+AEE,Ameren,Net Positivity,CQ32024,1.67,3,2024,2024-09-30
+AEP,American Electric Power,Net Positivity,CQ32024,1.24,3,2024,2024-09-30
+CMS,CMS Energy,Net Positivity,CQ32024,1.33,3,2024,2024-09-30
+CNP,CenterPoint Energy,Net Positivity,CQ32024,0.44,3,2024,2024-09-30
+DUK,Duke Energy,Net Positivity,CQ32024,1.29,3,2024,2024-09-30
+EIX,Edison International,Net Positivity,CQ32024,1.28,3,2024,2024-09-30
+ETR,Entergy,Net Positivity,CQ32024,1.16,3,2024,2024-09-30
+EXC,Exelon,Net Positivity,CQ32024,0.96,3,2024,2024-09-30
+NEE,NextEra Energy,Net Positivity,CQ32024,0.98,3,2024,2024-09-30
+SO,Southern Company,Net Positivity,CQ32024,1.38,3,2024,2024-09-30
+XEL,Xcel Energy,Net Positivity,CQ32024,1.25,3,2024,2024-09-30
+T,AT&T,Numeric Transeprency,CQ32024,1.26,3,2024,2024-09-30
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ32024,1.6,3,2024,2024-09-30
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ32024,,3,2024,2024-09-30
+META,Meta Platforms,Numeric Transeprency,CQ32024,1.58,3,2024,2024-09-30
+NFLX,Netflix,Numeric Transeprency,CQ32024,1.09,3,2024,2024-09-30
+NWSA,News Corp (Class A),Numeric Transeprency,CQ32024,3.26,3,2024,2024-09-30
+OMC,Omnicom Group,Numeric Transeprency,CQ32024,1.93,3,2024,2024-09-30
+VZ,Verizon,Numeric Transeprency,CQ32024,1.73,3,2024,2024-09-30
+AMZN,Amazon,Numeric Transeprency,CQ32024,1.5,3,2024,2024-09-30
+AZO,AutoZone,Numeric Transeprency,CQ32024,2.55,3,2024,2024-09-30
+BBY,Best Buy,Numeric Transeprency,CQ32024,1.5,3,2024,2024-09-30
+BKNG,Booking Holdings,Numeric Transeprency,CQ32024,1.31,3,2024,2024-09-30
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ32024,1.58,3,2024,2024-09-30
+DRI,Darden Restaurants,Numeric Transeprency,CQ32024,1.21,3,2024,2024-09-30
+F,Ford Motor Company,Numeric Transeprency,CQ32024,1.69,3,2024,2024-09-30
+GM,General Motors,Numeric Transeprency,CQ32024,1.98,3,2024,2024-09-30
+GPC,Genuine Parts Company,Numeric Transeprency,CQ32024,1.99,3,2024,2024-09-30
+HAS,Hasbro,Numeric Transeprency,CQ32024,2.12,3,2024,2024-09-30
+LOW,Lowe's,Numeric Transeprency,CQ32024,1.11,3,2024,2024-09-30
+MCD,McDonald's,Numeric Transeprency,CQ32024,1.14,3,2024,2024-09-30
+NKE,"Nike, Inc.",Numeric Transeprency,CQ32024,,3,2024,2024-09-30
+ROST,Ross Stores,Numeric Transeprency,CQ32024,1.93,3,2024,2024-09-30
+TJX,TJX Companies,Numeric Transeprency,CQ32024,1.45,3,2024,2024-09-30
+TGT,Target,Numeric Transeprency,CQ32024,1.54,3,2024,2024-09-30
+MO,Altria,Numeric Transeprency,CQ32024,2.03,3,2024,2024-09-30
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ32024,1.95,3,2024,2024-09-30
+BF.B,Brown-Forman,Numeric Transeprency,CQ32024,1.37,3,2024,2024-09-30
+CLX,Clorox,Numeric Transeprency,CQ32024,1.49,3,2024,2024-09-30
+KO,Coca-Cola Company,Numeric Transeprency,CQ32024,1.2,3,2024,2024-09-30
+COST,Costco,Numeric Transeprency,CQ32024,2.27,3,2024,2024-09-30
+GIS,General Mills,Numeric Transeprency,CQ32024,0.58,3,2024,2024-09-30
+HSY,Hershey Company,Numeric Transeprency,CQ32024,0.73,3,2024,2024-09-30
+KMB,Kimberly-Clark,Numeric Transeprency,CQ32024,1.09,3,2024,2024-09-30
+KR,Kroger,Numeric Transeprency,CQ32024,1.01,3,2024,2024-09-30
+MKC,McCormick & Company,Numeric Transeprency,CQ32024,,3,2024,2024-09-30
+PEP,PepsiCo,Numeric Transeprency,CQ32024,0.62,3,2024,2024-09-30
+PG,Procter & Gamble,Numeric Transeprency,CQ32024,2.33,3,2024,2024-09-30
+SYY,Sysco,Numeric Transeprency,CQ32024,1.97,3,2024,2024-09-30
+WMT,Walmart,Numeric Transeprency,CQ32024,1.16,3,2024,2024-09-30
+APA,APA Corporation,Numeric Transeprency,CQ32024,2.03,3,2024,2024-09-30
+CVX,Chevron Corporation,Numeric Transeprency,CQ32024,,3,2024,2024-09-30
+CTRA,Coterra Energy,Numeric Transeprency,CQ32024,2.2,3,2024,2024-09-30
+EOG,EOG Resources,Numeric Transeprency,CQ32024,1.6,3,2024,2024-09-30
+XOM,ExxonMobil,Numeric Transeprency,CQ32024,0.9,3,2024,2024-09-30
+HAL,Halliburton,Numeric Transeprency,CQ32024,2.31,3,2024,2024-09-30
+OXY,Occidental Petroleum,Numeric Transeprency,CQ32024,1.5,3,2024,2024-09-30
+SLB,Schlumberger,Numeric Transeprency,CQ32024,1.57,3,2024,2024-09-30
+VLO,Valero Energy,Numeric Transeprency,CQ32024,2.27,3,2024,2024-09-30
+AFL,Aflac,Numeric Transeprency,CQ32024,1.91,3,2024,2024-09-30
+ALL,Allstate,Numeric Transeprency,CQ32024,1.71,3,2024,2024-09-30
+AXP,American Express,Numeric Transeprency,CQ32024,2.23,3,2024,2024-09-30
+AIG,American International Group,Numeric Transeprency,CQ32024,4.37,3,2024,2024-09-30
+AMP,Ameriprise Financial,Numeric Transeprency,CQ32024,2.29,3,2024,2024-09-30
+AON,Aon plc,Numeric Transeprency,CQ32024,1.79,3,2024,2024-09-30
+BK,BNY Mellon,Numeric Transeprency,CQ32024,1.8,3,2024,2024-09-30
+BAC,Bank of America,Numeric Transeprency,CQ32024,3.18,3,2024,2024-09-30
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ32024,,3,2024,2024-09-30
+BLK,BlackRock,Numeric Transeprency,CQ32024,1.96,3,2024,2024-09-30
+CME,CME Group,Numeric Transeprency,CQ32024,1.53,3,2024,2024-09-30
+SCHW,Charles Schwab,Numeric Transeprency,CQ32024,,3,2024,2024-09-30
+CB,Chubb Limited,Numeric Transeprency,CQ32024,2.82,3,2024,2024-09-30
+CINF,Cincinnati Financial,Numeric Transeprency,CQ32024,2.57,3,2024,2024-09-30
+C,Citigroup,Numeric Transeprency,CQ32024,1.85,3,2024,2024-09-30
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ32024,2.11,3,2024,2024-09-30
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ32024,2.48,3,2024,2024-09-30
+FISV,Fiserv,Numeric Transeprency,CQ32024,2.93,3,2024,2024-09-30
+GS,Goldman Sachs,Numeric Transeprency,CQ32024,2.06,3,2024,2024-09-30
+HIG,Hartford Financial,Numeric Transeprency,CQ32024,2.32,3,2024,2024-09-30
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ32024,1.66,3,2024,2024-09-30
+IVZ,Invesco,Numeric Transeprency,CQ32024,2.13,3,2024,2024-09-30
+JPM,JPMorgan Chase,Numeric Transeprency,CQ32024,2.11,3,2024,2024-09-30
+KEY,KeyCorp,Numeric Transeprency,CQ32024,2.92,3,2024,2024-09-30
+MA,Mastercard,Numeric Transeprency,CQ32024,1.16,3,2024,2024-09-30
+MET,MetLife,Numeric Transeprency,CQ32024,2.76,3,2024,2024-09-30
+MS,Morgan Stanley,Numeric Transeprency,CQ32024,1.66,3,2024,2024-09-30
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ32024,2.69,3,2024,2024-09-30
+NTRS,Northern Trust,Numeric Transeprency,CQ32024,2.05,3,2024,2024-09-30
+PNC,PNC Financial Services,Numeric Transeprency,CQ32024,3.36,3,2024,2024-09-30
+PRU,Prudential Financial,Numeric Transeprency,CQ32024,1.7,3,2024,2024-09-30
+RF,Regions Financial,Numeric Transeprency,CQ32024,2.53,3,2024,2024-09-30
+SPGI,S&P Global,Numeric Transeprency,CQ32024,2.14,3,2024,2024-09-30
+STT,State Street,Numeric Transeprency,CQ32024,1.73,3,2024,2024-09-30
+TROW,T. Rowe Price,Numeric Transeprency,CQ32024,1.5,3,2024,2024-09-30
+TRV,Travelers Companies,Numeric Transeprency,CQ32024,2.4,3,2024,2024-09-30
+USB,U.S. Bancorp,Numeric Transeprency,CQ32024,2.3,3,2024,2024-09-30
+V,Visa,Numeric Transeprency,CQ32024,2.23,3,2024,2024-09-30
+WFC,Wells Fargo,Numeric Transeprency,CQ32024,1.39,3,2024,2024-09-30
+ABBV,AbbVie,Numeric Transeprency,CQ32024,2.03,3,2024,2024-09-30
+ABT,Abbott Laboratories,Numeric Transeprency,CQ32024,1.43,3,2024,2024-09-30
+A,Agilent Technologies,Numeric Transeprency,CQ32024,1.88,3,2024,2024-09-30
+AMGN,Amgen,Numeric Transeprency,CQ32024,2.32,3,2024,2024-09-30
+BAX,Baxter International,Numeric Transeprency,CQ32024,2.31,3,2024,2024-09-30
+BDX,Becton Dickinson,Numeric Transeprency,CQ32024,1.93,3,2024,2024-09-30
+BIIB,Biogen,Numeric Transeprency,CQ32024,1.52,3,2024,2024-09-30
+BSX,Boston Scientific,Numeric Transeprency,CQ32024,2.98,3,2024,2024-09-30
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ32024,1.45,3,2024,2024-09-30
+CVS,CVS Health,Numeric Transeprency,CQ32024,2.72,3,2024,2024-09-30
+COR,Cencora,Numeric Transeprency,CQ32024,,3,2024,2024-09-30
+CI,Cigna,Numeric Transeprency,CQ32024,1.95,3,2024,2024-09-30
+DVA,DaVita,Numeric Transeprency,CQ32024,2.91,3,2024,2024-09-30
+DHR,Danaher Corporation,Numeric Transeprency,CQ32024,1.49,3,2024,2024-09-30
+LLY,Eli Lilly,Numeric Transeprency,CQ32024,1.9,3,2024,2024-09-30
+GILD,Gilead Sciences,Numeric Transeprency,CQ32024,2.8,3,2024,2024-09-30
+HUM,Humana,Numeric Transeprency,CQ32024,1.01,3,2024,2024-09-30
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ32024,2.61,3,2024,2024-09-30
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ32024,3.12,3,2024,2024-09-30
+LH,Labcorp,Numeric Transeprency,CQ32024,2.41,3,2024,2024-09-30
+MCK,McKesson Corporation,Numeric Transeprency,CQ32024,2.13,3,2024,2024-09-30
+MDT,Medtronic,Numeric Transeprency,CQ32024,1.01,3,2024,2024-09-30
+MRK,Merck & Co.,Numeric Transeprency,CQ32024,1.94,3,2024,2024-09-30
+PFE,Pfizer,Numeric Transeprency,CQ32024,1.89,3,2024,2024-09-30
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ32024,2.3,3,2024,2024-09-30
+WAT,Waters Corporation,Numeric Transeprency,CQ32024,2.37,3,2024,2024-09-30
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ32024,2.47,3,2024,2024-09-30
+MMM,3M,Numeric Transeprency,CQ32024,2.03,3,2024,2024-09-30
+AME,Ametek,Numeric Transeprency,CQ32024,2.43,3,2024,2024-09-30
+ADP,Automatic Data Processing,Numeric Transeprency,CQ32024,2.09,3,2024,2024-09-30
+BA,Boeing,Numeric Transeprency,CQ32024,1.46,3,2024,2024-09-30
+CSX,CSX Corporation,Numeric Transeprency,CQ32024,1.0,3,2024,2024-09-30
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ32024,2.18,3,2024,2024-09-30
+CTAS,Cintas,Numeric Transeprency,CQ32024,1.74,3,2024,2024-09-30
+CMI,Cummins,Numeric Transeprency,CQ32024,3.83,3,2024,2024-09-30
+DE,Deere & Company,Numeric Transeprency,CQ32024,2.14,3,2024,2024-09-30
+ETN,Eaton Corporation,Numeric Transeprency,CQ32024,2.15,3,2024,2024-09-30
+EMR,Emerson Electric,Numeric Transeprency,CQ32024,2.33,3,2024,2024-09-30
+EFX,Equifax,Numeric Transeprency,CQ32024,2.7,3,2024,2024-09-30
+EXPD,Expeditors International,Numeric Transeprency,CQ32024,,3,2024,2024-09-30
+FDX,FedEx,Numeric Transeprency,CQ32024,1.41,3,2024,2024-09-30
+GE,GE Aerospace,Numeric Transeprency,CQ32024,2.44,3,2024,2024-09-30
+GD,General Dynamics,Numeric Transeprency,CQ32024,3.79,3,2024,2024-09-30
+ITW,Illinois Tool Works,Numeric Transeprency,CQ32024,3.76,3,2024,2024-09-30
+LMT,Lockheed Martin,Numeric Transeprency,CQ32024,2.24,3,2024,2024-09-30
+NSC,Norfolk Southern,Numeric Transeprency,CQ32024,1.77,3,2024,2024-09-30
+NOC,Northrop Grumman,Numeric Transeprency,CQ32024,1.97,3,2024,2024-09-30
+PCAR,Paccar,Numeric Transeprency,CQ32024,1.82,3,2024,2024-09-30
+RTX,RTX Corporation,Numeric Transeprency,CQ32024,2.25,3,2024,2024-09-30
+ROK,Rockwell Automation,Numeric Transeprency,CQ32024,2.26,3,2024,2024-09-30
+ROP,Roper Technologies,Numeric Transeprency,CQ32024,1.79,3,2024,2024-09-30
+SNA,Snap-on,Numeric Transeprency,CQ32024,2.4,3,2024,2024-09-30
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ32024,2.25,3,2024,2024-09-30
+UPS,United Parcel Service,Numeric Transeprency,CQ32024,2.43,3,2024,2024-09-30
+WM,Waste Management,Numeric Transeprency,CQ32024,2.09,3,2024,2024-09-30
+ACN,Accenture,Numeric Transeprency,CQ32024,3.31,3,2024,2024-09-30
+ADBE,Adobe Inc.,Numeric Transeprency,CQ32024,1.53,3,2024,2024-09-30
+AKAM,Akamai Technologies,Numeric Transeprency,CQ32024,1.91,3,2024,2024-09-30
+APH,Amphenol,Numeric Transeprency,CQ32024,2.23,3,2024,2024-09-30
+ADI,Analog Devices,Numeric Transeprency,CQ32024,2.0,3,2024,2024-09-30
+AAPL,Apple Inc.,Numeric Transeprency,CQ32024,1.99,3,2024,2024-09-30
+AMAT,Applied Materials,Numeric Transeprency,CQ32024,2.23,3,2024,2024-09-30
+ADSK,Autodesk,Numeric Transeprency,CQ32024,1.48,3,2024,2024-09-30
+AVGO,Broadcom,Numeric Transeprency,CQ32024,2.95,3,2024,2024-09-30
+CSCO,Cisco,Numeric Transeprency,CQ32024,2.57,3,2024,2024-09-30
+CTSH,Cognizant,Numeric Transeprency,CQ32024,2.32,3,2024,2024-09-30
+HPQ,HP Inc.,Numeric Transeprency,CQ32024,1.93,3,2024,2024-09-30
+IBM,IBM,Numeric Transeprency,CQ32024,2.28,3,2024,2024-09-30
+INTC,Intel,Numeric Transeprency,CQ32024,2.05,3,2024,2024-09-30
+INTU,Intuit,Numeric Transeprency,CQ32024,2.71,3,2024,2024-09-30
+LRCX,Lam Research,Numeric Transeprency,CQ32024,1.82,3,2024,2024-09-30
+MU,Micron Technology,Numeric Transeprency,CQ32024,0.89,3,2024,2024-09-30
+MSFT,Microsoft,Numeric Transeprency,CQ32024,3.32,3,2024,2024-09-30
+MSI,Motorola Solutions,Numeric Transeprency,CQ32024,2.48,3,2024,2024-09-30
+NTAP,NetApp,Numeric Transeprency,CQ32024,1.82,3,2024,2024-09-30
+NVDA,Nvidia,Numeric Transeprency,CQ32024,1.44,3,2024,2024-09-30
+ORCL,Oracle Corporation,Numeric Transeprency,CQ32024,1.99,3,2024,2024-09-30
+TXN,Texas Instruments,Numeric Transeprency,CQ32024,1.99,3,2024,2024-09-30
+APD,Air Products,Numeric Transeprency,CQ32024,1.89,3,2024,2024-09-30
+AVY,Avery Dennison,Numeric Transeprency,CQ32024,1.55,3,2024,2024-09-30
+ECL,Ecolab,Numeric Transeprency,CQ32024,2.43,3,2024,2024-09-30
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ32024,1.79,3,2024,2024-09-30
+IP,International Paper,Numeric Transeprency,CQ32024,1.73,3,2024,2024-09-30
+LIN,Linde plc,Numeric Transeprency,CQ32024,1.4,3,2024,2024-09-30
+NEM,Newmont,Numeric Transeprency,CQ32024,2.51,3,2024,2024-09-30
+NUE,Nucor,Numeric Transeprency,CQ32024,1.65,3,2024,2024-09-30
+AMT,American Tower,Numeric Transeprency,CQ32024,1.77,3,2024,2024-09-30
+AVB,AvalonBay Communities,Numeric Transeprency,CQ32024,2.53,3,2024,2024-09-30
+EQR,Equity Residential,Numeric Transeprency,CQ32024,1.52,3,2024,2024-09-30
+DOC,Healthpeak Properties,Numeric Transeprency,CQ32024,2.11,3,2024,2024-09-30
+IRM,Iron Mountain,Numeric Transeprency,CQ32024,2.0,3,2024,2024-09-30
+PLD,Prologis,Numeric Transeprency,CQ32024,2.51,3,2024,2024-09-30
+VTR,Ventas,Numeric Transeprency,CQ32024,2.39,3,2024,2024-09-30
+WY,Weyerhaeuser,Numeric Transeprency,CQ32024,1.31,3,2024,2024-09-30
+AES,AES Corporation,Numeric Transeprency,CQ32024,1.86,3,2024,2024-09-30
+AEE,Ameren,Numeric Transeprency,CQ32024,2.44,3,2024,2024-09-30
+AEP,American Electric Power,Numeric Transeprency,CQ32024,1.97,3,2024,2024-09-30
+CMS,CMS Energy,Numeric Transeprency,CQ32024,1.84,3,2024,2024-09-30
+CNP,CenterPoint Energy,Numeric Transeprency,CQ32024,2.51,3,2024,2024-09-30
+DUK,Duke Energy,Numeric Transeprency,CQ32024,2.16,3,2024,2024-09-30
+EIX,Edison International,Numeric Transeprency,CQ32024,2.8,3,2024,2024-09-30
+ETR,Entergy,Numeric Transeprency,CQ32024,1.4,3,2024,2024-09-30
+EXC,Exelon,Numeric Transeprency,CQ32024,1.67,3,2024,2024-09-30
+NEE,NextEra Energy,Numeric Transeprency,CQ32024,2.03,3,2024,2024-09-30
+SO,Southern Company,Numeric Transeprency,CQ32024,2.02,3,2024,2024-09-30
+XEL,Xcel Energy,Numeric Transeprency,CQ32024,1.68,3,2024,2024-09-30
+T,AT&T,Analyst Selectivity Ratio,CQ32024,22.73,3,2024,2024-09-30
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ32024,7.41,3,2024,2024-09-30
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ32024,,3,2024,2024-09-30
+META,Meta Platforms,Analyst Selectivity Ratio,CQ32024,12.73,3,2024,2024-09-30
+NFLX,Netflix,Analyst Selectivity Ratio,CQ32024,0.0,3,2024,2024-09-30
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ32024,54.55,3,2024,2024-09-30
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ32024,66.67,3,2024,2024-09-30
+VZ,Verizon,Analyst Selectivity Ratio,CQ32024,41.67,3,2024,2024-09-30
+AMZN,Amazon,Analyst Selectivity Ratio,CQ32024,9.43,3,2024,2024-09-30
+AZO,AutoZone,Analyst Selectivity Ratio,CQ32024,25.0,3,2024,2024-09-30
+BBY,Best Buy,Analyst Selectivity Ratio,CQ32024,26.67,3,2024,2024-09-30
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ32024,26.67,3,2024,2024-09-30
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ32024,32.26,3,2024,2024-09-30
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ32024,58.33,3,2024,2024-09-30
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ32024,19.05,3,2024,2024-09-30
+GM,General Motors,Analyst Selectivity Ratio,CQ32024,36.0,3,2024,2024-09-30
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+HAS,Hasbro,Analyst Selectivity Ratio,CQ32024,45.45,3,2024,2024-09-30
+LOW,Lowe's,Analyst Selectivity Ratio,CQ32024,24.32,3,2024,2024-09-30
+MCD,McDonald's,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ32024,,3,2024,2024-09-30
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ32024,57.14,3,2024,2024-09-30
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ32024,26.09,3,2024,2024-09-30
+TGT,Target,Analyst Selectivity Ratio,CQ32024,15.79,3,2024,2024-09-30
+MO,Altria,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ32024,71.43,3,2024,2024-09-30
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ32024,31.25,3,2024,2024-09-30
+CLX,Clorox,Analyst Selectivity Ratio,CQ32024,52.94,3,2024,2024-09-30
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+COST,Costco,Analyst Selectivity Ratio,CQ32024,29.41,3,2024,2024-09-30
+GIS,General Mills,Analyst Selectivity Ratio,CQ32024,46.67,3,2024,2024-09-30
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ32024,52.63,3,2024,2024-09-30
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ32024,46.67,3,2024,2024-09-30
+KR,Kroger,Analyst Selectivity Ratio,CQ32024,34.78,3,2024,2024-09-30
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ32024,,3,2024,2024-09-30
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ32024,47.37,3,2024,2024-09-30
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+SYY,Sysco,Analyst Selectivity Ratio,CQ32024,35.29,3,2024,2024-09-30
+WMT,Walmart,Analyst Selectivity Ratio,CQ32024,26.19,3,2024,2024-09-30
+APA,APA Corporation,Analyst Selectivity Ratio,CQ32024,38.1,3,2024,2024-09-30
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ32024,,3,2024,2024-09-30
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ32024,25.0,3,2024,2024-09-30
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ32024,35.0,3,2024,2024-09-30
+HAL,Halliburton,Analyst Selectivity Ratio,CQ32024,37.5,3,2024,2024-09-30
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ32024,26.32,3,2024,2024-09-30
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ32024,38.46,3,2024,2024-09-30
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+AFL,Aflac,Analyst Selectivity Ratio,CQ32024,20.0,3,2024,2024-09-30
+ALL,Allstate,Analyst Selectivity Ratio,CQ32024,16.67,3,2024,2024-09-30
+AXP,American Express,Analyst Selectivity Ratio,CQ32024,36.0,3,2024,2024-09-30
+AIG,American International Group,Analyst Selectivity Ratio,CQ32024,41.67,3,2024,2024-09-30
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ32024,61.54,3,2024,2024-09-30
+AON,Aon plc,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ32024,58.82,3,2024,2024-09-30
+BAC,Bank of America,Analyst Selectivity Ratio,CQ32024,37.5,3,2024,2024-09-30
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ32024,,3,2024,2024-09-30
+BLK,BlackRock,Analyst Selectivity Ratio,CQ32024,35.71,3,2024,2024-09-30
+CME,CME Group,Analyst Selectivity Ratio,CQ32024,71.43,3,2024,2024-09-30
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ32024,,3,2024,2024-09-30
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ32024,23.81,3,2024,2024-09-30
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ32024,62.5,3,2024,2024-09-30
+C,Citigroup,Analyst Selectivity Ratio,CQ32024,45.45,3,2024,2024-09-30
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ32024,38.46,3,2024,2024-09-30
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ32024,34.78,3,2024,2024-09-30
+FISV,Fiserv,Analyst Selectivity Ratio,CQ32024,25.0,3,2024,2024-09-30
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ32024,43.48,3,2024,2024-09-30
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ32024,29.41,3,2024,2024-09-30
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ32024,42.86,3,2024,2024-09-30
+IVZ,Invesco,Analyst Selectivity Ratio,CQ32024,57.14,3,2024,2024-09-30
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ32024,35.0,3,2024,2024-09-30
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ32024,45.45,3,2024,2024-09-30
+MA,Mastercard,Analyst Selectivity Ratio,CQ32024,28.57,3,2024,2024-09-30
+MET,MetLife,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ32024,34.78,3,2024,2024-09-30
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ32024,46.67,3,2024,2024-09-30
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ32024,39.13,3,2024,2024-09-30
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+RF,Regions Financial,Analyst Selectivity Ratio,CQ32024,32.0,3,2024,2024-09-30
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ32024,57.89,3,2024,2024-09-30
+STT,State Street,Analyst Selectivity Ratio,CQ32024,46.15,3,2024,2024-09-30
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ32024,54.55,3,2024,2024-09-30
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ32024,39.13,3,2024,2024-09-30
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ32024,45.83,3,2024,2024-09-30
+V,Visa,Analyst Selectivity Ratio,CQ32024,25.71,3,2024,2024-09-30
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ32024,25.0,3,2024,2024-09-30
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ32024,44.0,3,2024,2024-09-30
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ32024,28.57,3,2024,2024-09-30
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ32024,58.82,3,2024,2024-09-30
+AMGN,Amgen,Analyst Selectivity Ratio,CQ32024,42.31,3,2024,2024-09-30
+BAX,Baxter International,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ32024,43.75,3,2024,2024-09-30
+BIIB,Biogen,Analyst Selectivity Ratio,CQ32024,13.79,3,2024,2024-09-30
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ32024,26.67,3,2024,2024-09-30
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ32024,72.73,3,2024,2024-09-30
+CVS,CVS Health,Analyst Selectivity Ratio,CQ32024,31.82,3,2024,2024-09-30
+COR,Cencora,Analyst Selectivity Ratio,CQ32024,,3,2024,2024-09-30
+CI,Cigna,Analyst Selectivity Ratio,CQ32024,36.84,3,2024,2024-09-30
+DVA,DaVita,Analyst Selectivity Ratio,CQ32024,66.67,3,2024,2024-09-30
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ32024,27.27,3,2024,2024-09-30
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ32024,44.0,3,2024,2024-09-30
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ32024,32.0,3,2024,2024-09-30
+HUM,Humana,Analyst Selectivity Ratio,CQ32024,57.89,3,2024,2024-09-30
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ32024,32.0,3,2024,2024-09-30
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ32024,63.64,3,2024,2024-09-30
+LH,Labcorp,Analyst Selectivity Ratio,CQ32024,41.67,3,2024,2024-09-30
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ32024,42.86,3,2024,2024-09-30
+MDT,Medtronic,Analyst Selectivity Ratio,CQ32024,27.59,3,2024,2024-09-30
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ32024,45.45,3,2024,2024-09-30
+PFE,Pfizer,Analyst Selectivity Ratio,CQ32024,65.0,3,2024,2024-09-30
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ32024,20.83,3,2024,2024-09-30
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ32024,43.75,3,2024,2024-09-30
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ32024,29.17,3,2024,2024-09-30
+MMM,3M,Analyst Selectivity Ratio,CQ32024,71.43,3,2024,2024-09-30
+AME,Ametek,Analyst Selectivity Ratio,CQ32024,64.29,3,2024,2024-09-30
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ32024,38.89,3,2024,2024-09-30
+BA,Boeing,Analyst Selectivity Ratio,CQ32024,45.0,3,2024,2024-09-30
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ32024,41.67,3,2024,2024-09-30
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ32024,44.0,3,2024,2024-09-30
+CTAS,Cintas,Analyst Selectivity Ratio,CQ32024,47.06,3,2024,2024-09-30
+CMI,Cummins,Analyst Selectivity Ratio,CQ32024,38.89,3,2024,2024-09-30
+DE,Deere & Company,Analyst Selectivity Ratio,CQ32024,36.36,3,2024,2024-09-30
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ32024,42.86,3,2024,2024-09-30
+EFX,Equifax,Analyst Selectivity Ratio,CQ32024,65.0,3,2024,2024-09-30
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ32024,,3,2024,2024-09-30
+FDX,FedEx,Analyst Selectivity Ratio,CQ32024,29.63,3,2024,2024-09-30
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ32024,61.54,3,2024,2024-09-30
+GD,General Dynamics,Analyst Selectivity Ratio,CQ32024,47.37,3,2024,2024-09-30
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ32024,41.18,3,2024,2024-09-30
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ32024,40.0,3,2024,2024-09-30
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ32024,47.06,3,2024,2024-09-30
+PCAR,Paccar,Analyst Selectivity Ratio,CQ32024,68.42,3,2024,2024-09-30
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ32024,34.78,3,2024,2024-09-30
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ32024,46.67,3,2024,2024-09-30
+SNA,Snap-on,Analyst Selectivity Ratio,CQ32024,75.0,3,2024,2024-09-30
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ32024,35.71,3,2024,2024-09-30
+WM,Waste Management,Analyst Selectivity Ratio,CQ32024,47.62,3,2024,2024-09-30
+ACN,Accenture,Analyst Selectivity Ratio,CQ32024,28.0,3,2024,2024-09-30
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ32024,18.18,3,2024,2024-09-30
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ32024,34.78,3,2024,2024-09-30
+APH,Amphenol,Analyst Selectivity Ratio,CQ32024,60.0,3,2024,2024-09-30
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ32024,29.63,3,2024,2024-09-30
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ32024,18.6,3,2024,2024-09-30
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ32024,44.83,3,2024,2024-09-30
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ32024,25.93,3,2024,2024-09-30
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ32024,35.14,3,2024,2024-09-30
+CSCO,Cisco,Analyst Selectivity Ratio,CQ32024,44.0,3,2024,2024-09-30
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ32024,17.86,3,2024,2024-09-30
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ32024,28.57,3,2024,2024-09-30
+IBM,IBM,Analyst Selectivity Ratio,CQ32024,27.78,3,2024,2024-09-30
+INTC,Intel,Analyst Selectivity Ratio,CQ32024,19.44,3,2024,2024-09-30
+INTU,Intuit,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ32024,34.62,3,2024,2024-09-30
+MU,Micron Technology,Analyst Selectivity Ratio,CQ32024,16.13,3,2024,2024-09-30
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ32024,10.0,3,2024,2024-09-30
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ32024,63.64,3,2024,2024-09-30
+NTAP,NetApp,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ32024,10.71,3,2024,2024-09-30
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ32024,17.24,3,2024,2024-09-30
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ32024,27.59,3,2024,2024-09-30
+APD,Air Products,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ32024,55.56,3,2024,2024-09-30
+ECL,Ecolab,Analyst Selectivity Ratio,CQ32024,70.0,3,2024,2024-09-30
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ32024,66.67,3,2024,2024-09-30
+IP,International Paper,Analyst Selectivity Ratio,CQ32024,71.43,3,2024,2024-09-30
+LIN,Linde plc,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+NEM,Newmont,Analyst Selectivity Ratio,CQ32024,25.0,3,2024,2024-09-30
+NUE,Nucor,Analyst Selectivity Ratio,CQ32024,41.67,3,2024,2024-09-30
+AMT,American Tower,Analyst Selectivity Ratio,CQ32024,46.15,3,2024,2024-09-30
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ32024,62.5,3,2024,2024-09-30
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ32024,37.5,3,2024,2024-09-30
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ32024,57.14,3,2024,2024-09-30
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ32024,80.0,3,2024,2024-09-30
+PLD,Prologis,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+VTR,Ventas,Analyst Selectivity Ratio,CQ32024,50.0,3,2024,2024-09-30
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ32024,66.67,3,2024,2024-09-30
+AES,AES Corporation,Analyst Selectivity Ratio,CQ32024,41.67,3,2024,2024-09-30
+AEE,Ameren,Analyst Selectivity Ratio,CQ32024,30.77,3,2024,2024-09-30
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ32024,41.18,3,2024,2024-09-30
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ32024,35.71,3,2024,2024-09-30
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ32024,46.67,3,2024,2024-09-30
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ32024,23.53,3,2024,2024-09-30
+EIX,Edison International,Analyst Selectivity Ratio,CQ32024,29.41,3,2024,2024-09-30
+ETR,Entergy,Analyst Selectivity Ratio,CQ32024,29.41,3,2024,2024-09-30
+EXC,Exelon,Analyst Selectivity Ratio,CQ32024,25.0,3,2024,2024-09-30
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+SO,Southern Company,Analyst Selectivity Ratio,CQ32024,44.44,3,2024,2024-09-30
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ32024,33.33,3,2024,2024-09-30
+T,AT&T,Language Complexity,CQ32024,12.97,3,2024,2024-09-30
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ32024,12.76,3,2024,2024-09-30
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ32024,,3,2024,2024-09-30
+META,Meta Platforms,Language Complexity,CQ32024,13.21,3,2024,2024-09-30
+NFLX,Netflix,Language Complexity,CQ32024,10.97,3,2024,2024-09-30
+NWSA,News Corp (Class A),Language Complexity,CQ32024,14.45,3,2024,2024-09-30
+OMC,Omnicom Group,Language Complexity,CQ32024,13.41,3,2024,2024-09-30
+VZ,Verizon,Language Complexity,CQ32024,11.28,3,2024,2024-09-30
+AMZN,Amazon,Language Complexity,CQ32024,13.92,3,2024,2024-09-30
+AZO,AutoZone,Language Complexity,CQ32024,11.51,3,2024,2024-09-30
+BBY,Best Buy,Language Complexity,CQ32024,13.51,3,2024,2024-09-30
+BKNG,Booking Holdings,Language Complexity,CQ32024,12.4,3,2024,2024-09-30
+CMG,Chipotle Mexican Grill,Language Complexity,CQ32024,11.58,3,2024,2024-09-30
+DRI,Darden Restaurants,Language Complexity,CQ32024,10.28,3,2024,2024-09-30
+F,Ford Motor Company,Language Complexity,CQ32024,12.37,3,2024,2024-09-30
+GM,General Motors,Language Complexity,CQ32024,11.94,3,2024,2024-09-30
+GPC,Genuine Parts Company,Language Complexity,CQ32024,13.42,3,2024,2024-09-30
+HAS,Hasbro,Language Complexity,CQ32024,11.9,3,2024,2024-09-30
+LOW,Lowe's,Language Complexity,CQ32024,13.09,3,2024,2024-09-30
+MCD,McDonald's,Language Complexity,CQ32024,13.3,3,2024,2024-09-30
+NKE,"Nike, Inc.",Language Complexity,CQ32024,,3,2024,2024-09-30
+ROST,Ross Stores,Language Complexity,CQ32024,10.23,3,2024,2024-09-30
+TJX,TJX Companies,Language Complexity,CQ32024,11.03,3,2024,2024-09-30
+TGT,Target,Language Complexity,CQ32024,14.19,3,2024,2024-09-30
+MO,Altria,Language Complexity,CQ32024,13.0,3,2024,2024-09-30
+ADM,Archer Daniels Midland,Language Complexity,CQ32024,12.26,3,2024,2024-09-30
+BF.B,Brown-Forman,Language Complexity,CQ32024,13.19,3,2024,2024-09-30
+CLX,Clorox,Language Complexity,CQ32024,11.14,3,2024,2024-09-30
+KO,Coca-Cola Company,Language Complexity,CQ32024,13.27,3,2024,2024-09-30
+COST,Costco,Language Complexity,CQ32024,11.75,3,2024,2024-09-30
+GIS,General Mills,Language Complexity,CQ32024,10.44,3,2024,2024-09-30
+HSY,Hershey Company,Language Complexity,CQ32024,10.0,3,2024,2024-09-30
+KMB,Kimberly-Clark,Language Complexity,CQ32024,11.13,3,2024,2024-09-30
+KR,Kroger,Language Complexity,CQ32024,12.99,3,2024,2024-09-30
+MKC,McCormick & Company,Language Complexity,CQ32024,,3,2024,2024-09-30
+PEP,PepsiCo,Language Complexity,CQ32024,11.11,3,2024,2024-09-30
+PG,Procter & Gamble,Language Complexity,CQ32024,12.38,3,2024,2024-09-30
+SYY,Sysco,Language Complexity,CQ32024,12.28,3,2024,2024-09-30
+WMT,Walmart,Language Complexity,CQ32024,11.84,3,2024,2024-09-30
+APA,APA Corporation,Language Complexity,CQ32024,10.93,3,2024,2024-09-30
+CVX,Chevron Corporation,Language Complexity,CQ32024,,3,2024,2024-09-30
+CTRA,Coterra Energy,Language Complexity,CQ32024,11.37,3,2024,2024-09-30
+EOG,EOG Resources,Language Complexity,CQ32024,13.14,3,2024,2024-09-30
+XOM,ExxonMobil,Language Complexity,CQ32024,13.1,3,2024,2024-09-30
+HAL,Halliburton,Language Complexity,CQ32024,11.36,3,2024,2024-09-30
+OXY,Occidental Petroleum,Language Complexity,CQ32024,12.89,3,2024,2024-09-30
+SLB,Schlumberger,Language Complexity,CQ32024,13.89,3,2024,2024-09-30
+VLO,Valero Energy,Language Complexity,CQ32024,11.23,3,2024,2024-09-30
+AFL,Aflac,Language Complexity,CQ32024,11.61,3,2024,2024-09-30
+ALL,Allstate,Language Complexity,CQ32024,12.11,3,2024,2024-09-30
+AXP,American Express,Language Complexity,CQ32024,12.18,3,2024,2024-09-30
+AIG,American International Group,Language Complexity,CQ32024,14.97,3,2024,2024-09-30
+AMP,Ameriprise Financial,Language Complexity,CQ32024,11.91,3,2024,2024-09-30
+AON,Aon plc,Language Complexity,CQ32024,12.69,3,2024,2024-09-30
+BK,BNY Mellon,Language Complexity,CQ32024,12.79,3,2024,2024-09-30
+BAC,Bank of America,Language Complexity,CQ32024,10.87,3,2024,2024-09-30
+BRK.B,Berkshire Hathaway,Language Complexity,CQ32024,,3,2024,2024-09-30
+BLK,BlackRock,Language Complexity,CQ32024,14.08,3,2024,2024-09-30
+CME,CME Group,Language Complexity,CQ32024,10.76,3,2024,2024-09-30
+SCHW,Charles Schwab,Language Complexity,CQ32024,,3,2024,2024-09-30
+CB,Chubb Limited,Language Complexity,CQ32024,11.38,3,2024,2024-09-30
+CINF,Cincinnati Financial,Language Complexity,CQ32024,12.0,3,2024,2024-09-30
+C,Citigroup,Language Complexity,CQ32024,12.53,3,2024,2024-09-30
+FIS,Fidelity National Information Services,Language Complexity,CQ32024,11.67,3,2024,2024-09-30
+FITB,Fifth Third Bancorp,Language Complexity,CQ32024,12.74,3,2024,2024-09-30
+FISV,Fiserv,Language Complexity,CQ32024,13.87,3,2024,2024-09-30
+GS,Goldman Sachs,Language Complexity,CQ32024,13.24,3,2024,2024-09-30
+HIG,Hartford Financial,Language Complexity,CQ32024,12.7,3,2024,2024-09-30
+ICE,Intercontinental Exchange,Language Complexity,CQ32024,14.21,3,2024,2024-09-30
+IVZ,Invesco,Language Complexity,CQ32024,13.14,3,2024,2024-09-30
+JPM,JPMorgan Chase,Language Complexity,CQ32024,12.34,3,2024,2024-09-30
+KEY,KeyCorp,Language Complexity,CQ32024,10.68,3,2024,2024-09-30
+MA,Mastercard,Language Complexity,CQ32024,12.43,3,2024,2024-09-30
+MET,MetLife,Language Complexity,CQ32024,12.06,3,2024,2024-09-30
+MS,Morgan Stanley,Language Complexity,CQ32024,13.02,3,2024,2024-09-30
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ32024,13.7,3,2024,2024-09-30
+NTRS,Northern Trust,Language Complexity,CQ32024,11.47,3,2024,2024-09-30
+PNC,PNC Financial Services,Language Complexity,CQ32024,10.45,3,2024,2024-09-30
+PRU,Prudential Financial,Language Complexity,CQ32024,13.73,3,2024,2024-09-30
+RF,Regions Financial,Language Complexity,CQ32024,11.12,3,2024,2024-09-30
+SPGI,S&P Global,Language Complexity,CQ32024,12.87,3,2024,2024-09-30
+STT,State Street,Language Complexity,CQ32024,12.03,3,2024,2024-09-30
+TROW,T. Rowe Price,Language Complexity,CQ32024,12.88,3,2024,2024-09-30
+TRV,Travelers Companies,Language Complexity,CQ32024,12.93,3,2024,2024-09-30
+USB,U.S. Bancorp,Language Complexity,CQ32024,10.66,3,2024,2024-09-30
+V,Visa,Language Complexity,CQ32024,12.85,3,2024,2024-09-30
+WFC,Wells Fargo,Language Complexity,CQ32024,12.85,3,2024,2024-09-30
+ABBV,AbbVie,Language Complexity,CQ32024,12.76,3,2024,2024-09-30
+ABT,Abbott Laboratories,Language Complexity,CQ32024,11.87,3,2024,2024-09-30
+A,Agilent Technologies,Language Complexity,CQ32024,10.76,3,2024,2024-09-30
+AMGN,Amgen,Language Complexity,CQ32024,13.38,3,2024,2024-09-30
+BAX,Baxter International,Language Complexity,CQ32024,12.92,3,2024,2024-09-30
+BDX,Becton Dickinson,Language Complexity,CQ32024,13.18,3,2024,2024-09-30
+BIIB,Biogen,Language Complexity,CQ32024,13.27,3,2024,2024-09-30
+BSX,Boston Scientific,Language Complexity,CQ32024,12.61,3,2024,2024-09-30
+BMY,Bristol Myers Squibb,Language Complexity,CQ32024,11.98,3,2024,2024-09-30
+CVS,CVS Health,Language Complexity,CQ32024,13.53,3,2024,2024-09-30
+COR,Cencora,Language Complexity,CQ32024,,3,2024,2024-09-30
+CI,Cigna,Language Complexity,CQ32024,14.35,3,2024,2024-09-30
+DVA,DaVita,Language Complexity,CQ32024,10.89,3,2024,2024-09-30
+DHR,Danaher Corporation,Language Complexity,CQ32024,12.84,3,2024,2024-09-30
+LLY,Eli Lilly,Language Complexity,CQ32024,12.71,3,2024,2024-09-30
+GILD,Gilead Sciences,Language Complexity,CQ32024,13.03,3,2024,2024-09-30
+HUM,Humana,Language Complexity,CQ32024,12.42,3,2024,2024-09-30
+ISRG,Intuitive Surgical,Language Complexity,CQ32024,11.91,3,2024,2024-09-30
+JNJ,Johnson & Johnson,Language Complexity,CQ32024,13.54,3,2024,2024-09-30
+LH,Labcorp,Language Complexity,CQ32024,12.31,3,2024,2024-09-30
+MCK,McKesson Corporation,Language Complexity,CQ32024,14.88,3,2024,2024-09-30
+MDT,Medtronic,Language Complexity,CQ32024,10.93,3,2024,2024-09-30
+MRK,Merck & Co.,Language Complexity,CQ32024,13.42,3,2024,2024-09-30
+PFE,Pfizer,Language Complexity,CQ32024,12.82,3,2024,2024-09-30
+TMO,Thermo Fisher Scientific,Language Complexity,CQ32024,12.43,3,2024,2024-09-30
+WAT,Waters Corporation,Language Complexity,CQ32024,11.72,3,2024,2024-09-30
+ZBH,Zimmer Biomet,Language Complexity,CQ32024,11.18,3,2024,2024-09-30
+MMM,3M,Language Complexity,CQ32024,11.13,3,2024,2024-09-30
+AME,Ametek,Language Complexity,CQ32024,11.15,3,2024,2024-09-30
+ADP,Automatic Data Processing,Language Complexity,CQ32024,11.15,3,2024,2024-09-30
+BA,Boeing,Language Complexity,CQ32024,12.59,3,2024,2024-09-30
+CSX,CSX Corporation,Language Complexity,CQ32024,12.36,3,2024,2024-09-30
+CAT,Caterpillar Inc.,Language Complexity,CQ32024,12.35,3,2024,2024-09-30
+CTAS,Cintas,Language Complexity,CQ32024,11.74,3,2024,2024-09-30
+CMI,Cummins,Language Complexity,CQ32024,12.07,3,2024,2024-09-30
+DE,Deere & Company,Language Complexity,CQ32024,13.13,3,2024,2024-09-30
+ETN,Eaton Corporation,Language Complexity,CQ32024,11.74,3,2024,2024-09-30
+EMR,Emerson Electric,Language Complexity,CQ32024,12.35,3,2024,2024-09-30
+EFX,Equifax,Language Complexity,CQ32024,12.07,3,2024,2024-09-30
+EXPD,Expeditors International,Language Complexity,CQ32024,,3,2024,2024-09-30
+FDX,FedEx,Language Complexity,CQ32024,12.79,3,2024,2024-09-30
+GE,GE Aerospace,Language Complexity,CQ32024,11.92,3,2024,2024-09-30
+GD,General Dynamics,Language Complexity,CQ32024,10.32,3,2024,2024-09-30
+ITW,Illinois Tool Works,Language Complexity,CQ32024,12.67,3,2024,2024-09-30
+LMT,Lockheed Martin,Language Complexity,CQ32024,12.85,3,2024,2024-09-30
+NSC,Norfolk Southern,Language Complexity,CQ32024,12.37,3,2024,2024-09-30
+NOC,Northrop Grumman,Language Complexity,CQ32024,12.79,3,2024,2024-09-30
+PCAR,Paccar,Language Complexity,CQ32024,10.52,3,2024,2024-09-30
+RTX,RTX Corporation,Language Complexity,CQ32024,12.01,3,2024,2024-09-30
+ROK,Rockwell Automation,Language Complexity,CQ32024,11.59,3,2024,2024-09-30
+ROP,Roper Technologies,Language Complexity,CQ32024,11.48,3,2024,2024-09-30
+SNA,Snap-on,Language Complexity,CQ32024,11.82,3,2024,2024-09-30
+SWK,Stanley Black & Decker,Language Complexity,CQ32024,13.94,3,2024,2024-09-30
+UPS,United Parcel Service,Language Complexity,CQ32024,10.88,3,2024,2024-09-30
+WM,Waste Management,Language Complexity,CQ32024,11.78,3,2024,2024-09-30
+ACN,Accenture,Language Complexity,CQ32024,13.05,3,2024,2024-09-30
+ADBE,Adobe Inc.,Language Complexity,CQ32024,15.26,3,2024,2024-09-30
+AKAM,Akamai Technologies,Language Complexity,CQ32024,11.91,3,2024,2024-09-30
+APH,Amphenol,Language Complexity,CQ32024,13.15,3,2024,2024-09-30
+ADI,Analog Devices,Language Complexity,CQ32024,12.87,3,2024,2024-09-30
+AAPL,Apple Inc.,Language Complexity,CQ32024,12.04,3,2024,2024-09-30
+AMAT,Applied Materials,Language Complexity,CQ32024,11.99,3,2024,2024-09-30
+ADSK,Autodesk,Language Complexity,CQ32024,13.43,3,2024,2024-09-30
+AVGO,Broadcom,Language Complexity,CQ32024,11.27,3,2024,2024-09-30
+CSCO,Cisco,Language Complexity,CQ32024,11.85,3,2024,2024-09-30
+CTSH,Cognizant,Language Complexity,CQ32024,12.69,3,2024,2024-09-30
+HPQ,HP Inc.,Language Complexity,CQ32024,12.57,3,2024,2024-09-30
+IBM,IBM,Language Complexity,CQ32024,12.41,3,2024,2024-09-30
+INTC,Intel,Language Complexity,CQ32024,12.94,3,2024,2024-09-30
+INTU,Intuit,Language Complexity,CQ32024,12.5,3,2024,2024-09-30
+LRCX,Lam Research,Language Complexity,CQ32024,11.86,3,2024,2024-09-30
+MU,Micron Technology,Language Complexity,CQ32024,11.73,3,2024,2024-09-30
+MSFT,Microsoft,Language Complexity,CQ32024,13.27,3,2024,2024-09-30
+MSI,Motorola Solutions,Language Complexity,CQ32024,12.04,3,2024,2024-09-30
+NTAP,NetApp,Language Complexity,CQ32024,11.87,3,2024,2024-09-30
+NVDA,Nvidia,Language Complexity,CQ32024,12.22,3,2024,2024-09-30
+ORCL,Oracle Corporation,Language Complexity,CQ32024,11.53,3,2024,2024-09-30
+TXN,Texas Instruments,Language Complexity,CQ32024,10.91,3,2024,2024-09-30
+APD,Air Products,Language Complexity,CQ32024,11.2,3,2024,2024-09-30
+AVY,Avery Dennison,Language Complexity,CQ32024,13.94,3,2024,2024-09-30
+ECL,Ecolab,Language Complexity,CQ32024,12.33,3,2024,2024-09-30
+IFF,International Flavors & Fragrances,Language Complexity,CQ32024,13.17,3,2024,2024-09-30
+IP,International Paper,Language Complexity,CQ32024,11.07,3,2024,2024-09-30
+LIN,Linde plc,Language Complexity,CQ32024,11.82,3,2024,2024-09-30
+NEM,Newmont,Language Complexity,CQ32024,11.96,3,2024,2024-09-30
+NUE,Nucor,Language Complexity,CQ32024,12.02,3,2024,2024-09-30
+AMT,American Tower,Language Complexity,CQ32024,13.51,3,2024,2024-09-30
+AVB,AvalonBay Communities,Language Complexity,CQ32024,13.0,3,2024,2024-09-30
+EQR,Equity Residential,Language Complexity,CQ32024,12.13,3,2024,2024-09-30
+DOC,Healthpeak Properties,Language Complexity,CQ32024,10.38,3,2024,2024-09-30
+IRM,Iron Mountain,Language Complexity,CQ32024,13.0,3,2024,2024-09-30
+PLD,Prologis,Language Complexity,CQ32024,11.47,3,2024,2024-09-30
+VTR,Ventas,Language Complexity,CQ32024,11.99,3,2024,2024-09-30
+WY,Weyerhaeuser,Language Complexity,CQ32024,12.17,3,2024,2024-09-30
+AES,AES Corporation,Language Complexity,CQ32024,11.05,3,2024,2024-09-30
+AEE,Ameren,Language Complexity,CQ32024,13.37,3,2024,2024-09-30
+AEP,American Electric Power,Language Complexity,CQ32024,11.97,3,2024,2024-09-30
+CMS,CMS Energy,Language Complexity,CQ32024,11.83,3,2024,2024-09-30
+CNP,CenterPoint Energy,Language Complexity,CQ32024,13.54,3,2024,2024-09-30
+DUK,Duke Energy,Language Complexity,CQ32024,13.39,3,2024,2024-09-30
+EIX,Edison International,Language Complexity,CQ32024,14.09,3,2024,2024-09-30
+ETR,Entergy,Language Complexity,CQ32024,13.34,3,2024,2024-09-30
+EXC,Exelon,Language Complexity,CQ32024,13.98,3,2024,2024-09-30
+NEE,NextEra Energy,Language Complexity,CQ32024,13.64,3,2024,2024-09-30
+SO,Southern Company,Language Complexity,CQ32024,12.47,3,2024,2024-09-30
+XEL,Xcel Energy,Language Complexity,CQ32024,13.45,3,2024,2024-09-30
+T,AT&T,Net Positivity,CQ42024,1.35,4,2024,2024-12-31
+GOOGL,Alphabet Inc. (Class A),Net Positivity,CQ42024,2.22,4,2024,2024-12-31
+GOOG,Alphabet Inc. (Class C),Net Positivity,CQ42024,,4,2024,2024-12-31
+META,Meta Platforms,Net Positivity,CQ42024,2.02,4,2024,2024-12-31
+NFLX,Netflix,Net Positivity,CQ42024,2.18,4,2024,2024-12-31
+NWSA,News Corp (Class A),Net Positivity,CQ42024,1.13,4,2024,2024-12-31
+OMC,Omnicom Group,Net Positivity,CQ42024,1.7,4,2024,2024-12-31
+VZ,Verizon,Net Positivity,CQ42024,1.71,4,2024,2024-12-31
+AMZN,Amazon,Net Positivity,CQ42024,2.03,4,2024,2024-12-31
+AZO,AutoZone,Net Positivity,CQ42024,1.3,4,2024,2024-12-31
+BBY,Best Buy,Net Positivity,CQ42024,1.66,4,2024,2024-12-31
+BKNG,Booking Holdings,Net Positivity,CQ42024,2.38,4,2024,2024-12-31
+CMG,Chipotle Mexican Grill,Net Positivity,CQ42024,2.19,4,2024,2024-12-31
+DRI,Darden Restaurants,Net Positivity,CQ42024,1.71,4,2024,2024-12-31
+F,Ford Motor Company,Net Positivity,CQ42024,1.3,4,2024,2024-12-31
+GM,General Motors,Net Positivity,CQ42024,1.29,4,2024,2024-12-31
+GPC,Genuine Parts Company,Net Positivity,CQ42024,0.69,4,2024,2024-12-31
+HAS,Hasbro,Net Positivity,CQ42024,1.12,4,2024,2024-12-31
+LOW,Lowe's,Net Positivity,CQ42024,1.6,4,2024,2024-12-31
+MCD,McDonald's,Net Positivity,CQ42024,1.87,4,2024,2024-12-31
+NKE,"Nike, Inc.",Net Positivity,CQ42024,1.32,4,2024,2024-12-31
+ROST,Ross Stores,Net Positivity,CQ42024,1.16,4,2024,2024-12-31
+TJX,TJX Companies,Net Positivity,CQ42024,1.71,4,2024,2024-12-31
+TGT,Target,Net Positivity,CQ42024,1.54,4,2024,2024-12-31
+MO,Altria,Net Positivity,CQ42024,0.43,4,2024,2024-12-31
+ADM,Archer Daniels Midland,Net Positivity,CQ42024,0.82,4,2024,2024-12-31
+BF.B,Brown-Forman,Net Positivity,CQ42024,0.56,4,2024,2024-12-31
+CLX,Clorox,Net Positivity,CQ42024,1.03,4,2024,2024-12-31
+KO,Coca-Cola Company,Net Positivity,CQ42024,0.97,4,2024,2024-12-31
+COST,Costco,Net Positivity,CQ42024,1.5,4,2024,2024-12-31
+GIS,General Mills,Net Positivity,CQ42024,1.0,4,2024,2024-12-31
+HSY,Hershey Company,Net Positivity,CQ42024,0.86,4,2024,2024-12-31
+KMB,Kimberly-Clark,Net Positivity,CQ42024,1.37,4,2024,2024-12-31
+KR,Kroger,Net Positivity,CQ42024,2.43,4,2024,2024-12-31
+MKC,McCormick & Company,Net Positivity,CQ42024,1.56,4,2024,2024-12-31
+PEP,PepsiCo,Net Positivity,CQ42024,1.3,4,2024,2024-12-31
+PG,Procter & Gamble,Net Positivity,CQ42024,1.72,4,2024,2024-12-31
+SYY,Sysco,Net Positivity,CQ42024,2.43,4,2024,2024-12-31
+WMT,Walmart,Net Positivity,CQ42024,2.05,4,2024,2024-12-31
+APA,APA Corporation,Net Positivity,CQ42024,0.4,4,2024,2024-12-31
+CVX,Chevron Corporation,Net Positivity,CQ42024,,4,2024,2024-12-31
+CTRA,Coterra Energy,Net Positivity,CQ42024,0.95,4,2024,2024-12-31
+EOG,EOG Resources,Net Positivity,CQ42024,1.28,4,2024,2024-12-31
+XOM,ExxonMobil,Net Positivity,CQ42024,2.09,4,2024,2024-12-31
+HAL,Halliburton,Net Positivity,CQ42024,1.33,4,2024,2024-12-31
+OXY,Occidental Petroleum,Net Positivity,CQ42024,1.91,4,2024,2024-12-31
+SLB,Schlumberger,Net Positivity,CQ42024,1.15,4,2024,2024-12-31
+VLO,Valero Energy,Net Positivity,CQ42024,0.52,4,2024,2024-12-31
+AFL,Aflac,Net Positivity,CQ42024,1.42,4,2024,2024-12-31
+ALL,Allstate,Net Positivity,CQ42024,0.96,4,2024,2024-12-31
+AXP,American Express,Net Positivity,CQ42024,1.22,4,2024,2024-12-31
+AIG,American International Group,Net Positivity,CQ42024,0.4,4,2024,2024-12-31
+AMP,Ameriprise Financial,Net Positivity,CQ42024,1.79,4,2024,2024-12-31
+AON,Aon plc,Net Positivity,CQ42024,1.72,4,2024,2024-12-31
+BK,BNY Mellon,Net Positivity,CQ42024,1.31,4,2024,2024-12-31
+BAC,Bank of America,Net Positivity,CQ42024,1.06,4,2024,2024-12-31
+BRK.B,Berkshire Hathaway,Net Positivity,CQ42024,,4,2024,2024-12-31
+BLK,BlackRock,Net Positivity,CQ42024,2.39,4,2024,2024-12-31
+CME,CME Group,Net Positivity,CQ42024,0.9,4,2024,2024-12-31
+SCHW,Charles Schwab,Net Positivity,CQ42024,,4,2024,2024-12-31
+CB,Chubb Limited,Net Positivity,CQ42024,0.28,4,2024,2024-12-31
+CINF,Cincinnati Financial,Net Positivity,CQ42024,-0.13,4,2024,2024-12-31
+C,Citigroup,Net Positivity,CQ42024,0.9,4,2024,2024-12-31
+FIS,Fidelity National Information Services,Net Positivity,CQ42024,1.51,4,2024,2024-12-31
+FITB,Fifth Third Bancorp,Net Positivity,CQ42024,0.85,4,2024,2024-12-31
+FISV,Fiserv,Net Positivity,CQ42024,1.39,4,2024,2024-12-31
+GS,Goldman Sachs,Net Positivity,CQ42024,1.21,4,2024,2024-12-31
+HIG,Hartford Financial,Net Positivity,CQ42024,1.03,4,2024,2024-12-31
+ICE,Intercontinental Exchange,Net Positivity,CQ42024,0.98,4,2024,2024-12-31
+IVZ,Invesco,Net Positivity,CQ42024,2.1,4,2024,2024-12-31
+JPM,JPMorgan Chase,Net Positivity,CQ42024,-0.02,4,2024,2024-12-31
+KEY,KeyCorp,Net Positivity,CQ42024,0.63,4,2024,2024-12-31
+MA,Mastercard,Net Positivity,CQ42024,1.28,4,2024,2024-12-31
+MET,MetLife,Net Positivity,CQ42024,1.23,4,2024,2024-12-31
+MS,Morgan Stanley,Net Positivity,CQ42024,1.29,4,2024,2024-12-31
+NDAQ,"Nasdaq, Inc.",Net Positivity,CQ42024,1.6,4,2024,2024-12-31
+NTRS,Northern Trust,Net Positivity,CQ42024,1.51,4,2024,2024-12-31
+PNC,PNC Financial Services,Net Positivity,CQ42024,0.85,4,2024,2024-12-31
+PRU,Prudential Financial,Net Positivity,CQ42024,1.89,4,2024,2024-12-31
+RF,Regions Financial,Net Positivity,CQ42024,0.96,4,2024,2024-12-31
+SPGI,S&P Global,Net Positivity,CQ42024,2.22,4,2024,2024-12-31
+STT,State Street,Net Positivity,CQ42024,1.77,4,2024,2024-12-31
+TROW,T. Rowe Price,Net Positivity,CQ42024,1.14,4,2024,2024-12-31
+TRV,Travelers Companies,Net Positivity,CQ42024,2.25,4,2024,2024-12-31
+USB,U.S. Bancorp,Net Positivity,CQ42024,1.2,4,2024,2024-12-31
+V,Visa,Net Positivity,CQ42024,1.32,4,2024,2024-12-31
+WFC,Wells Fargo,Net Positivity,CQ42024,0.38,4,2024,2024-12-31
+ABBV,AbbVie,Net Positivity,CQ42024,1.61,4,2024,2024-12-31
+ABT,Abbott Laboratories,Net Positivity,CQ42024,1.39,4,2024,2024-12-31
+A,Agilent Technologies,Net Positivity,CQ42024,1.1,4,2024,2024-12-31
+AMGN,Amgen,Net Positivity,CQ42024,1.42,4,2024,2024-12-31
+BAX,Baxter International,Net Positivity,CQ42024,0.16,4,2024,2024-12-31
+BDX,Becton Dickinson,Net Positivity,CQ42024,2.51,4,2024,2024-12-31
+BIIB,Biogen,Net Positivity,CQ42024,1.2,4,2024,2024-12-31
+BSX,Boston Scientific,Net Positivity,CQ42024,1.37,4,2024,2024-12-31
+BMY,Bristol Myers Squibb,Net Positivity,CQ42024,1.21,4,2024,2024-12-31
+CVS,CVS Health,Net Positivity,CQ42024,1.62,4,2024,2024-12-31
+COR,Cencora,Net Positivity,CQ42024,,4,2024,2024-12-31
+CI,Cigna,Net Positivity,CQ42024,1.36,4,2024,2024-12-31
+DVA,DaVita,Net Positivity,CQ42024,-0.24,4,2024,2024-12-31
+DHR,Danaher Corporation,Net Positivity,CQ42024,1.49,4,2024,2024-12-31
+LLY,Eli Lilly,Net Positivity,CQ42024,0.94,4,2024,2024-12-31
+GILD,Gilead Sciences,Net Positivity,CQ42024,0.76,4,2024,2024-12-31
+HUM,Humana,Net Positivity,CQ42024,0.75,4,2024,2024-12-31
+ISRG,Intuitive Surgical,Net Positivity,CQ42024,1.45,4,2024,2024-12-31
+JNJ,Johnson & Johnson,Net Positivity,CQ42024,1.4,4,2024,2024-12-31
+LH,Labcorp,Net Positivity,CQ42024,1.27,4,2024,2024-12-31
+MCK,McKesson Corporation,Net Positivity,CQ42024,1.29,4,2024,2024-12-31
+MDT,Medtronic,Net Positivity,CQ42024,1.6,4,2024,2024-12-31
+MRK,Merck & Co.,Net Positivity,CQ42024,1.95,4,2024,2024-12-31
+PFE,Pfizer,Net Positivity,CQ42024,1.42,4,2024,2024-12-31
+TMO,Thermo Fisher Scientific,Net Positivity,CQ42024,2.02,4,2024,2024-12-31
+WAT,Waters Corporation,Net Positivity,CQ42024,1.83,4,2024,2024-12-31
+ZBH,Zimmer Biomet,Net Positivity,CQ42024,1.04,4,2024,2024-12-31
+MMM,3M,Net Positivity,CQ42024,1.14,4,2024,2024-12-31
+AME,Ametek,Net Positivity,CQ42024,1.66,4,2024,2024-12-31
+ADP,Automatic Data Processing,Net Positivity,CQ42024,2.07,4,2024,2024-12-31
+BA,Boeing,Net Positivity,CQ42024,0.54,4,2024,2024-12-31
+CSX,CSX Corporation,Net Positivity,CQ42024,1.13,4,2024,2024-12-31
+CAT,Caterpillar Inc.,Net Positivity,CQ42024,0.99,4,2024,2024-12-31
+CTAS,Cintas,Net Positivity,CQ42024,1.91,4,2024,2024-12-31
+CMI,Cummins,Net Positivity,CQ42024,1.39,4,2024,2024-12-31
+DE,Deere & Company,Net Positivity,CQ42024,1.22,4,2024,2024-12-31
+ETN,Eaton Corporation,Net Positivity,CQ42024,0.59,4,2024,2024-12-31
+EMR,Emerson Electric,Net Positivity,CQ42024,1.43,4,2024,2024-12-31
+EFX,Equifax,Net Positivity,CQ42024,1.13,4,2024,2024-12-31
+EXPD,Expeditors International,Net Positivity,CQ42024,,4,2024,2024-12-31
+FDX,FedEx,Net Positivity,CQ42024,2.06,4,2024,2024-12-31
+GE,GE Aerospace,Net Positivity,CQ42024,1.29,4,2024,2024-12-31
+GD,General Dynamics,Net Positivity,CQ42024,0.86,4,2024,2024-12-31
+ITW,Illinois Tool Works,Net Positivity,CQ42024,1.61,4,2024,2024-12-31
+LMT,Lockheed Martin,Net Positivity,CQ42024,0.74,4,2024,2024-12-31
+NSC,Norfolk Southern,Net Positivity,CQ42024,1.4,4,2024,2024-12-31
+NOC,Northrop Grumman,Net Positivity,CQ42024,1.68,4,2024,2024-12-31
+PCAR,Paccar,Net Positivity,CQ42024,1.45,4,2024,2024-12-31
+RTX,RTX Corporation,Net Positivity,CQ42024,1.01,4,2024,2024-12-31
+ROK,Rockwell Automation,Net Positivity,CQ42024,0.66,4,2024,2024-12-31
+ROP,Roper Technologies,Net Positivity,CQ42024,1.65,4,2024,2024-12-31
+SNA,Snap-on,Net Positivity,CQ42024,1.03,4,2024,2024-12-31
+SWK,Stanley Black & Decker,Net Positivity,CQ42024,1.64,4,2024,2024-12-31
+UPS,United Parcel Service,Net Positivity,CQ42024,1.4,4,2024,2024-12-31
+WM,Waste Management,Net Positivity,CQ42024,1.3,4,2024,2024-12-31
+ACN,Accenture,Net Positivity,CQ42024,1.51,4,2024,2024-12-31
+ADBE,Adobe Inc.,Net Positivity,CQ42024,2.77,4,2024,2024-12-31
+AKAM,Akamai Technologies,Net Positivity,CQ42024,0.97,4,2024,2024-12-31
+APH,Amphenol,Net Positivity,CQ42024,1.44,4,2024,2024-12-31
+ADI,Analog Devices,Net Positivity,CQ42024,1.14,4,2024,2024-12-31
+AAPL,Apple Inc.,Net Positivity,CQ42024,1.46,4,2024,2024-12-31
+AMAT,Applied Materials,Net Positivity,CQ42024,1.88,4,2024,2024-12-31
+ADSK,Autodesk,Net Positivity,CQ42024,1.59,4,2024,2024-12-31
+AVGO,Broadcom,Net Positivity,CQ42024,0.45,4,2024,2024-12-31
+CSCO,Cisco,Net Positivity,CQ42024,1.61,4,2024,2024-12-31
+CTSH,Cognizant,Net Positivity,CQ42024,2.3,4,2024,2024-12-31
+HPQ,HP Inc.,Net Positivity,CQ42024,1.96,4,2024,2024-12-31
+IBM,IBM,Net Positivity,CQ42024,1.43,4,2024,2024-12-31
+INTC,Intel,Net Positivity,CQ42024,1.71,4,2024,2024-12-31
+INTU,Intuit,Net Positivity,CQ42024,1.84,4,2024,2024-12-31
+LRCX,Lam Research,Net Positivity,CQ42024,1.35,4,2024,2024-12-31
+MU,Micron Technology,Net Positivity,CQ42024,0.56,4,2024,2024-12-31
+MSFT,Microsoft,Net Positivity,CQ42024,1.17,4,2024,2024-12-31
+MSI,Motorola Solutions,Net Positivity,CQ42024,1.45,4,2024,2024-12-31
+NTAP,NetApp,Net Positivity,CQ42024,1.56,4,2024,2024-12-31
+NVDA,Nvidia,Net Positivity,CQ42024,1.21,4,2024,2024-12-31
+ORCL,Oracle Corporation,Net Positivity,CQ42024,0.88,4,2024,2024-12-31
+TXN,Texas Instruments,Net Positivity,CQ42024,0.49,4,2024,2024-12-31
+APD,Air Products,Net Positivity,CQ42024,1.38,4,2024,2024-12-31
+AVY,Avery Dennison,Net Positivity,CQ42024,1.05,4,2024,2024-12-31
+ECL,Ecolab,Net Positivity,CQ42024,2.22,4,2024,2024-12-31
+IFF,International Flavors & Fragrances,Net Positivity,CQ42024,2.36,4,2024,2024-12-31
+IP,International Paper,Net Positivity,CQ42024,1.56,4,2024,2024-12-31
+LIN,Linde plc,Net Positivity,CQ42024,0.28,4,2024,2024-12-31
+NEM,Newmont,Net Positivity,CQ42024,0.52,4,2024,2024-12-31
+NUE,Nucor,Net Positivity,CQ42024,0.73,4,2024,2024-12-31
+AMT,American Tower,Net Positivity,CQ42024,0.65,4,2024,2024-12-31
+AVB,AvalonBay Communities,Net Positivity,CQ42024,0.89,4,2024,2024-12-31
+EQR,Equity Residential,Net Positivity,CQ42024,1.13,4,2024,2024-12-31
+DOC,Healthpeak Properties,Net Positivity,CQ42024,1.53,4,2024,2024-12-31
+IRM,Iron Mountain,Net Positivity,CQ42024,1.49,4,2024,2024-12-31
+PLD,Prologis,Net Positivity,CQ42024,0.82,4,2024,2024-12-31
+VTR,Ventas,Net Positivity,CQ42024,2.36,4,2024,2024-12-31
+WY,Weyerhaeuser,Net Positivity,CQ42024,0.63,4,2024,2024-12-31
+AES,AES Corporation,Net Positivity,CQ42024,0.51,4,2024,2024-12-31
+AEE,Ameren,Net Positivity,CQ42024,1.5,4,2024,2024-12-31
+AEP,American Electric Power,Net Positivity,CQ42024,1.55,4,2024,2024-12-31
+CMS,CMS Energy,Net Positivity,CQ42024,1.29,4,2024,2024-12-31
+CNP,CenterPoint Energy,Net Positivity,CQ42024,0.76,4,2024,2024-12-31
+DUK,Duke Energy,Net Positivity,CQ42024,0.56,4,2024,2024-12-31
+EIX,Edison International,Net Positivity,CQ42024,0.36,4,2024,2024-12-31
+ETR,Entergy,Net Positivity,CQ42024,0.94,4,2024,2024-12-31
+EXC,Exelon,Net Positivity,CQ42024,0.69,4,2024,2024-12-31
+NEE,NextEra Energy,Net Positivity,CQ42024,0.58,4,2024,2024-12-31
+SO,Southern Company,Net Positivity,CQ42024,0.63,4,2024,2024-12-31
+XEL,Xcel Energy,Net Positivity,CQ42024,0.88,4,2024,2024-12-31
+T,AT&T,Numeric Transeprency,CQ42024,1.57,4,2024,2024-12-31
+GOOGL,Alphabet Inc. (Class A),Numeric Transeprency,CQ42024,2.01,4,2024,2024-12-31
+GOOG,Alphabet Inc. (Class C),Numeric Transeprency,CQ42024,,4,2024,2024-12-31
+META,Meta Platforms,Numeric Transeprency,CQ42024,1.65,4,2024,2024-12-31
+NFLX,Netflix,Numeric Transeprency,CQ42024,1.31,4,2024,2024-12-31
+NWSA,News Corp (Class A),Numeric Transeprency,CQ42024,3.51,4,2024,2024-12-31
+OMC,Omnicom Group,Numeric Transeprency,CQ42024,2.01,4,2024,2024-12-31
+VZ,Verizon,Numeric Transeprency,CQ42024,1.48,4,2024,2024-12-31
+AMZN,Amazon,Numeric Transeprency,CQ42024,1.73,4,2024,2024-12-31
+AZO,AutoZone,Numeric Transeprency,CQ42024,2.05,4,2024,2024-12-31
+BBY,Best Buy,Numeric Transeprency,CQ42024,1.49,4,2024,2024-12-31
+BKNG,Booking Holdings,Numeric Transeprency,CQ42024,1.43,4,2024,2024-12-31
+CMG,Chipotle Mexican Grill,Numeric Transeprency,CQ42024,2.12,4,2024,2024-12-31
+DRI,Darden Restaurants,Numeric Transeprency,CQ42024,1.85,4,2024,2024-12-31
+F,Ford Motor Company,Numeric Transeprency,CQ42024,2.24,4,2024,2024-12-31
+GM,General Motors,Numeric Transeprency,CQ42024,1.79,4,2024,2024-12-31
+GPC,Genuine Parts Company,Numeric Transeprency,CQ42024,2.59,4,2024,2024-12-31
+HAS,Hasbro,Numeric Transeprency,CQ42024,2.19,4,2024,2024-12-31
+LOW,Lowe's,Numeric Transeprency,CQ42024,1.05,4,2024,2024-12-31
+MCD,McDonald's,Numeric Transeprency,CQ42024,1.16,4,2024,2024-12-31
+NKE,"Nike, Inc.",Numeric Transeprency,CQ42024,1.25,4,2024,2024-12-31
+ROST,Ross Stores,Numeric Transeprency,CQ42024,1.87,4,2024,2024-12-31
+TJX,TJX Companies,Numeric Transeprency,CQ42024,1.3,4,2024,2024-12-31
+TGT,Target,Numeric Transeprency,CQ42024,1.41,4,2024,2024-12-31
+MO,Altria,Numeric Transeprency,CQ42024,2.84,4,2024,2024-12-31
+ADM,Archer Daniels Midland,Numeric Transeprency,CQ42024,1.59,4,2024,2024-12-31
+BF.B,Brown-Forman,Numeric Transeprency,CQ42024,1.5,4,2024,2024-12-31
+CLX,Clorox,Numeric Transeprency,CQ42024,1.0,4,2024,2024-12-31
+KO,Coca-Cola Company,Numeric Transeprency,CQ42024,1.39,4,2024,2024-12-31
+COST,Costco,Numeric Transeprency,CQ42024,1.82,4,2024,2024-12-31
+GIS,General Mills,Numeric Transeprency,CQ42024,0.98,4,2024,2024-12-31
+HSY,Hershey Company,Numeric Transeprency,CQ42024,0.97,4,2024,2024-12-31
+KMB,Kimberly-Clark,Numeric Transeprency,CQ42024,1.04,4,2024,2024-12-31
+KR,Kroger,Numeric Transeprency,CQ42024,0.71,4,2024,2024-12-31
+MKC,McCormick & Company,Numeric Transeprency,CQ42024,1.25,4,2024,2024-12-31
+PEP,PepsiCo,Numeric Transeprency,CQ42024,0.69,4,2024,2024-12-31
+PG,Procter & Gamble,Numeric Transeprency,CQ42024,2.4,4,2024,2024-12-31
+SYY,Sysco,Numeric Transeprency,CQ42024,1.7,4,2024,2024-12-31
+WMT,Walmart,Numeric Transeprency,CQ42024,1.65,4,2024,2024-12-31
+APA,APA Corporation,Numeric Transeprency,CQ42024,2.4,4,2024,2024-12-31
+CVX,Chevron Corporation,Numeric Transeprency,CQ42024,,4,2024,2024-12-31
+CTRA,Coterra Energy,Numeric Transeprency,CQ42024,2.3,4,2024,2024-12-31
+EOG,EOG Resources,Numeric Transeprency,CQ42024,1.86,4,2024,2024-12-31
+XOM,ExxonMobil,Numeric Transeprency,CQ42024,1.29,4,2024,2024-12-31
+HAL,Halliburton,Numeric Transeprency,CQ42024,2.06,4,2024,2024-12-31
+OXY,Occidental Petroleum,Numeric Transeprency,CQ42024,1.86,4,2024,2024-12-31
+SLB,Schlumberger,Numeric Transeprency,CQ42024,1.72,4,2024,2024-12-31
+VLO,Valero Energy,Numeric Transeprency,CQ42024,2.25,4,2024,2024-12-31
+AFL,Aflac,Numeric Transeprency,CQ42024,1.99,4,2024,2024-12-31
+ALL,Allstate,Numeric Transeprency,CQ42024,2.19,4,2024,2024-12-31
+AXP,American Express,Numeric Transeprency,CQ42024,2.07,4,2024,2024-12-31
+AIG,American International Group,Numeric Transeprency,CQ42024,3.62,4,2024,2024-12-31
+AMP,Ameriprise Financial,Numeric Transeprency,CQ42024,2.05,4,2024,2024-12-31
+AON,Aon plc,Numeric Transeprency,CQ42024,2.11,4,2024,2024-12-31
+BK,BNY Mellon,Numeric Transeprency,CQ42024,1.99,4,2024,2024-12-31
+BAC,Bank of America,Numeric Transeprency,CQ42024,3.22,4,2024,2024-12-31
+BRK.B,Berkshire Hathaway,Numeric Transeprency,CQ42024,,4,2024,2024-12-31
+BLK,BlackRock,Numeric Transeprency,CQ42024,2.5,4,2024,2024-12-31
+CME,CME Group,Numeric Transeprency,CQ42024,1.62,4,2024,2024-12-31
+SCHW,Charles Schwab,Numeric Transeprency,CQ42024,,4,2024,2024-12-31
+CB,Chubb Limited,Numeric Transeprency,CQ42024,2.63,4,2024,2024-12-31
+CINF,Cincinnati Financial,Numeric Transeprency,CQ42024,2.26,4,2024,2024-12-31
+C,Citigroup,Numeric Transeprency,CQ42024,2.62,4,2024,2024-12-31
+FIS,Fidelity National Information Services,Numeric Transeprency,CQ42024,2.34,4,2024,2024-12-31
+FITB,Fifth Third Bancorp,Numeric Transeprency,CQ42024,2.59,4,2024,2024-12-31
+FISV,Fiserv,Numeric Transeprency,CQ42024,3.23,4,2024,2024-12-31
+GS,Goldman Sachs,Numeric Transeprency,CQ42024,1.84,4,2024,2024-12-31
+HIG,Hartford Financial,Numeric Transeprency,CQ42024,2.04,4,2024,2024-12-31
+ICE,Intercontinental Exchange,Numeric Transeprency,CQ42024,2.13,4,2024,2024-12-31
+IVZ,Invesco,Numeric Transeprency,CQ42024,1.79,4,2024,2024-12-31
+JPM,JPMorgan Chase,Numeric Transeprency,CQ42024,1.74,4,2024,2024-12-31
+KEY,KeyCorp,Numeric Transeprency,CQ42024,3.15,4,2024,2024-12-31
+MA,Mastercard,Numeric Transeprency,CQ42024,1.24,4,2024,2024-12-31
+MET,MetLife,Numeric Transeprency,CQ42024,2.86,4,2024,2024-12-31
+MS,Morgan Stanley,Numeric Transeprency,CQ42024,1.32,4,2024,2024-12-31
+NDAQ,"Nasdaq, Inc.",Numeric Transeprency,CQ42024,2.96,4,2024,2024-12-31
+NTRS,Northern Trust,Numeric Transeprency,CQ42024,1.87,4,2024,2024-12-31
+PNC,PNC Financial Services,Numeric Transeprency,CQ42024,3.44,4,2024,2024-12-31
+PRU,Prudential Financial,Numeric Transeprency,CQ42024,1.57,4,2024,2024-12-31
+RF,Regions Financial,Numeric Transeprency,CQ42024,2.53,4,2024,2024-12-31
+SPGI,S&P Global,Numeric Transeprency,CQ42024,2.13,4,2024,2024-12-31
+STT,State Street,Numeric Transeprency,CQ42024,1.84,4,2024,2024-12-31
+TROW,T. Rowe Price,Numeric Transeprency,CQ42024,1.94,4,2024,2024-12-31
+TRV,Travelers Companies,Numeric Transeprency,CQ42024,2.46,4,2024,2024-12-31
+USB,U.S. Bancorp,Numeric Transeprency,CQ42024,2.07,4,2024,2024-12-31
+V,Visa,Numeric Transeprency,CQ42024,2.86,4,2024,2024-12-31
+WFC,Wells Fargo,Numeric Transeprency,CQ42024,2.01,4,2024,2024-12-31
+ABBV,AbbVie,Numeric Transeprency,CQ42024,2.15,4,2024,2024-12-31
+ABT,Abbott Laboratories,Numeric Transeprency,CQ42024,1.63,4,2024,2024-12-31
+A,Agilent Technologies,Numeric Transeprency,CQ42024,1.82,4,2024,2024-12-31
+AMGN,Amgen,Numeric Transeprency,CQ42024,2.64,4,2024,2024-12-31
+BAX,Baxter International,Numeric Transeprency,CQ42024,3.17,4,2024,2024-12-31
+BDX,Becton Dickinson,Numeric Transeprency,CQ42024,2.3,4,2024,2024-12-31
+BIIB,Biogen,Numeric Transeprency,CQ42024,1.81,4,2024,2024-12-31
+BSX,Boston Scientific,Numeric Transeprency,CQ42024,2.68,4,2024,2024-12-31
+BMY,Bristol Myers Squibb,Numeric Transeprency,CQ42024,1.46,4,2024,2024-12-31
+CVS,CVS Health,Numeric Transeprency,CQ42024,2.14,4,2024,2024-12-31
+COR,Cencora,Numeric Transeprency,CQ42024,,4,2024,2024-12-31
+CI,Cigna,Numeric Transeprency,CQ42024,1.99,4,2024,2024-12-31
+DVA,DaVita,Numeric Transeprency,CQ42024,2.07,4,2024,2024-12-31
+DHR,Danaher Corporation,Numeric Transeprency,CQ42024,1.35,4,2024,2024-12-31
+LLY,Eli Lilly,Numeric Transeprency,CQ42024,2.13,4,2024,2024-12-31
+GILD,Gilead Sciences,Numeric Transeprency,CQ42024,3.21,4,2024,2024-12-31
+HUM,Humana,Numeric Transeprency,CQ42024,1.88,4,2024,2024-12-31
+ISRG,Intuitive Surgical,Numeric Transeprency,CQ42024,3.17,4,2024,2024-12-31
+JNJ,Johnson & Johnson,Numeric Transeprency,CQ42024,2.91,4,2024,2024-12-31
+LH,Labcorp,Numeric Transeprency,CQ42024,2.5,4,2024,2024-12-31
+MCK,McKesson Corporation,Numeric Transeprency,CQ42024,2.06,4,2024,2024-12-31
+MDT,Medtronic,Numeric Transeprency,CQ42024,1.47,4,2024,2024-12-31
+MRK,Merck & Co.,Numeric Transeprency,CQ42024,2.49,4,2024,2024-12-31
+PFE,Pfizer,Numeric Transeprency,CQ42024,2.26,4,2024,2024-12-31
+TMO,Thermo Fisher Scientific,Numeric Transeprency,CQ42024,2.02,4,2024,2024-12-31
+WAT,Waters Corporation,Numeric Transeprency,CQ42024,2.31,4,2024,2024-12-31
+ZBH,Zimmer Biomet,Numeric Transeprency,CQ42024,2.55,4,2024,2024-12-31
+MMM,3M,Numeric Transeprency,CQ42024,2.29,4,2024,2024-12-31
+AME,Ametek,Numeric Transeprency,CQ42024,2.44,4,2024,2024-12-31
+ADP,Automatic Data Processing,Numeric Transeprency,CQ42024,1.18,4,2024,2024-12-31
+BA,Boeing,Numeric Transeprency,CQ42024,1.24,4,2024,2024-12-31
+CSX,CSX Corporation,Numeric Transeprency,CQ42024,1.17,4,2024,2024-12-31
+CAT,Caterpillar Inc.,Numeric Transeprency,CQ42024,2.24,4,2024,2024-12-31
+CTAS,Cintas,Numeric Transeprency,CQ42024,1.64,4,2024,2024-12-31
+CMI,Cummins,Numeric Transeprency,CQ42024,3.48,4,2024,2024-12-31
+DE,Deere & Company,Numeric Transeprency,CQ42024,2.85,4,2024,2024-12-31
+ETN,Eaton Corporation,Numeric Transeprency,CQ42024,2.66,4,2024,2024-12-31
+EMR,Emerson Electric,Numeric Transeprency,CQ42024,3.16,4,2024,2024-12-31
+EFX,Equifax,Numeric Transeprency,CQ42024,3.34,4,2024,2024-12-31
+EXPD,Expeditors International,Numeric Transeprency,CQ42024,,4,2024,2024-12-31
+FDX,FedEx,Numeric Transeprency,CQ42024,1.99,4,2024,2024-12-31
+GE,GE Aerospace,Numeric Transeprency,CQ42024,2.97,4,2024,2024-12-31
+GD,General Dynamics,Numeric Transeprency,CQ42024,2.76,4,2024,2024-12-31
+ITW,Illinois Tool Works,Numeric Transeprency,CQ42024,3.47,4,2024,2024-12-31
+LMT,Lockheed Martin,Numeric Transeprency,CQ42024,2.89,4,2024,2024-12-31
+NSC,Norfolk Southern,Numeric Transeprency,CQ42024,1.57,4,2024,2024-12-31
+NOC,Northrop Grumman,Numeric Transeprency,CQ42024,1.63,4,2024,2024-12-31
+PCAR,Paccar,Numeric Transeprency,CQ42024,2.0,4,2024,2024-12-31
+RTX,RTX Corporation,Numeric Transeprency,CQ42024,2.51,4,2024,2024-12-31
+ROK,Rockwell Automation,Numeric Transeprency,CQ42024,2.7,4,2024,2024-12-31
+ROP,Roper Technologies,Numeric Transeprency,CQ42024,1.69,4,2024,2024-12-31
+SNA,Snap-on,Numeric Transeprency,CQ42024,2.91,4,2024,2024-12-31
+SWK,Stanley Black & Decker,Numeric Transeprency,CQ42024,2.28,4,2024,2024-12-31
+UPS,United Parcel Service,Numeric Transeprency,CQ42024,2.67,4,2024,2024-12-31
+WM,Waste Management,Numeric Transeprency,CQ42024,2.87,4,2024,2024-12-31
+ACN,Accenture,Numeric Transeprency,CQ42024,2.43,4,2024,2024-12-31
+ADBE,Adobe Inc.,Numeric Transeprency,CQ42024,2.61,4,2024,2024-12-31
+AKAM,Akamai Technologies,Numeric Transeprency,CQ42024,2.18,4,2024,2024-12-31
+APH,Amphenol,Numeric Transeprency,CQ42024,2.26,4,2024,2024-12-31
+ADI,Analog Devices,Numeric Transeprency,CQ42024,2.7,4,2024,2024-12-31
+AAPL,Apple Inc.,Numeric Transeprency,CQ42024,2.16,4,2024,2024-12-31
+AMAT,Applied Materials,Numeric Transeprency,CQ42024,2.51,4,2024,2024-12-31
+ADSK,Autodesk,Numeric Transeprency,CQ42024,1.79,4,2024,2024-12-31
+AVGO,Broadcom,Numeric Transeprency,CQ42024,5.49,4,2024,2024-12-31
+CSCO,Cisco,Numeric Transeprency,CQ42024,2.09,4,2024,2024-12-31
+CTSH,Cognizant,Numeric Transeprency,CQ42024,2.54,4,2024,2024-12-31
+HPQ,HP Inc.,Numeric Transeprency,CQ42024,1.8,4,2024,2024-12-31
+IBM,IBM,Numeric Transeprency,CQ42024,2.79,4,2024,2024-12-31
+INTC,Intel,Numeric Transeprency,CQ42024,2.01,4,2024,2024-12-31
+INTU,Intuit,Numeric Transeprency,CQ42024,1.48,4,2024,2024-12-31
+LRCX,Lam Research,Numeric Transeprency,CQ42024,1.83,4,2024,2024-12-31
+MU,Micron Technology,Numeric Transeprency,CQ42024,1.29,4,2024,2024-12-31
+MSFT,Microsoft,Numeric Transeprency,CQ42024,2.61,4,2024,2024-12-31
+MSI,Motorola Solutions,Numeric Transeprency,CQ42024,2.93,4,2024,2024-12-31
+NTAP,NetApp,Numeric Transeprency,CQ42024,1.82,4,2024,2024-12-31
+NVDA,Nvidia,Numeric Transeprency,CQ42024,1.48,4,2024,2024-12-31
+ORCL,Oracle Corporation,Numeric Transeprency,CQ42024,3.16,4,2024,2024-12-31
+TXN,Texas Instruments,Numeric Transeprency,CQ42024,2.24,4,2024,2024-12-31
+APD,Air Products,Numeric Transeprency,CQ42024,2.44,4,2024,2024-12-31
+AVY,Avery Dennison,Numeric Transeprency,CQ42024,1.82,4,2024,2024-12-31
+ECL,Ecolab,Numeric Transeprency,CQ42024,2.63,4,2024,2024-12-31
+IFF,International Flavors & Fragrances,Numeric Transeprency,CQ42024,2.21,4,2024,2024-12-31
+IP,International Paper,Numeric Transeprency,CQ42024,1.74,4,2024,2024-12-31
+LIN,Linde plc,Numeric Transeprency,CQ42024,1.51,4,2024,2024-12-31
+NEM,Newmont,Numeric Transeprency,CQ42024,2.98,4,2024,2024-12-31
+NUE,Nucor,Numeric Transeprency,CQ42024,1.55,4,2024,2024-12-31
+AMT,American Tower,Numeric Transeprency,CQ42024,1.95,4,2024,2024-12-31
+AVB,AvalonBay Communities,Numeric Transeprency,CQ42024,2.58,4,2024,2024-12-31
+EQR,Equity Residential,Numeric Transeprency,CQ42024,1.58,4,2024,2024-12-31
+DOC,Healthpeak Properties,Numeric Transeprency,CQ42024,2.67,4,2024,2024-12-31
+IRM,Iron Mountain,Numeric Transeprency,CQ42024,2.59,4,2024,2024-12-31
+PLD,Prologis,Numeric Transeprency,CQ42024,2.53,4,2024,2024-12-31
+VTR,Ventas,Numeric Transeprency,CQ42024,2.4,4,2024,2024-12-31
+WY,Weyerhaeuser,Numeric Transeprency,CQ42024,1.46,4,2024,2024-12-31
+AES,AES Corporation,Numeric Transeprency,CQ42024,2.75,4,2024,2024-12-31
+AEE,Ameren,Numeric Transeprency,CQ42024,3.0,4,2024,2024-12-31
+AEP,American Electric Power,Numeric Transeprency,CQ42024,2.94,4,2024,2024-12-31
+CMS,CMS Energy,Numeric Transeprency,CQ42024,1.87,4,2024,2024-12-31
+CNP,CenterPoint Energy,Numeric Transeprency,CQ42024,3.45,4,2024,2024-12-31
+DUK,Duke Energy,Numeric Transeprency,CQ42024,3.05,4,2024,2024-12-31
+EIX,Edison International,Numeric Transeprency,CQ42024,2.33,4,2024,2024-12-31
+ETR,Entergy,Numeric Transeprency,CQ42024,1.57,4,2024,2024-12-31
+EXC,Exelon,Numeric Transeprency,CQ42024,1.63,4,2024,2024-12-31
+NEE,NextEra Energy,Numeric Transeprency,CQ42024,2.34,4,2024,2024-12-31
+SO,Southern Company,Numeric Transeprency,CQ42024,1.22,4,2024,2024-12-31
+XEL,Xcel Energy,Numeric Transeprency,CQ42024,2.6,4,2024,2024-12-31
+T,AT&T,Analyst Selectivity Ratio,CQ42024,30.0,4,2024,2024-12-31
+GOOGL,Alphabet Inc. (Class A),Analyst Selectivity Ratio,CQ42024,9.8,4,2024,2024-12-31
+GOOG,Alphabet Inc. (Class C),Analyst Selectivity Ratio,CQ42024,,4,2024,2024-12-31
+META,Meta Platforms,Analyst Selectivity Ratio,CQ42024,13.46,4,2024,2024-12-31
+NFLX,Netflix,Analyst Selectivity Ratio,CQ42024,0.0,4,2024,2024-12-31
+NWSA,News Corp (Class A),Analyst Selectivity Ratio,CQ42024,33.33,4,2024,2024-12-31
+OMC,Omnicom Group,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+VZ,Verizon,Analyst Selectivity Ratio,CQ42024,47.37,4,2024,2024-12-31
+AMZN,Amazon,Analyst Selectivity Ratio,CQ42024,9.09,4,2024,2024-12-31
+AZO,AutoZone,Analyst Selectivity Ratio,CQ42024,33.33,4,2024,2024-12-31
+BBY,Best Buy,Analyst Selectivity Ratio,CQ42024,24.14,4,2024,2024-12-31
+BKNG,Booking Holdings,Analyst Selectivity Ratio,CQ42024,29.63,4,2024,2024-12-31
+CMG,Chipotle Mexican Grill,Analyst Selectivity Ratio,CQ42024,34.48,4,2024,2024-12-31
+DRI,Darden Restaurants,Analyst Selectivity Ratio,CQ42024,52.0,4,2024,2024-12-31
+F,Ford Motor Company,Analyst Selectivity Ratio,CQ42024,20.0,4,2024,2024-12-31
+GM,General Motors,Analyst Selectivity Ratio,CQ42024,40.91,4,2024,2024-12-31
+GPC,Genuine Parts Company,Analyst Selectivity Ratio,CQ42024,54.55,4,2024,2024-12-31
+HAS,Hasbro,Analyst Selectivity Ratio,CQ42024,55.56,4,2024,2024-12-31
+LOW,Lowe's,Analyst Selectivity Ratio,CQ42024,20.0,4,2024,2024-12-31
+MCD,McDonald's,Analyst Selectivity Ratio,CQ42024,25.0,4,2024,2024-12-31
+NKE,"Nike, Inc.",Analyst Selectivity Ratio,CQ42024,15.79,4,2024,2024-12-31
+ROST,Ross Stores,Analyst Selectivity Ratio,CQ42024,57.14,4,2024,2024-12-31
+TJX,TJX Companies,Analyst Selectivity Ratio,CQ42024,34.78,4,2024,2024-12-31
+TGT,Target,Analyst Selectivity Ratio,CQ42024,16.22,4,2024,2024-12-31
+MO,Altria,Analyst Selectivity Ratio,CQ42024,25.0,4,2024,2024-12-31
+ADM,Archer Daniels Midland,Analyst Selectivity Ratio,CQ42024,66.67,4,2024,2024-12-31
+BF.B,Brown-Forman,Analyst Selectivity Ratio,CQ42024,35.29,4,2024,2024-12-31
+CLX,Clorox,Analyst Selectivity Ratio,CQ42024,58.82,4,2024,2024-12-31
+KO,Coca-Cola Company,Analyst Selectivity Ratio,CQ42024,55.0,4,2024,2024-12-31
+COST,Costco,Analyst Selectivity Ratio,CQ42024,37.14,4,2024,2024-12-31
+GIS,General Mills,Analyst Selectivity Ratio,CQ42024,35.0,4,2024,2024-12-31
+HSY,Hershey Company,Analyst Selectivity Ratio,CQ42024,42.86,4,2024,2024-12-31
+KMB,Kimberly-Clark,Analyst Selectivity Ratio,CQ42024,40.0,4,2024,2024-12-31
+KR,Kroger,Analyst Selectivity Ratio,CQ42024,31.82,4,2024,2024-12-31
+MKC,McCormick & Company,Analyst Selectivity Ratio,CQ42024,57.14,4,2024,2024-12-31
+PEP,PepsiCo,Analyst Selectivity Ratio,CQ42024,38.89,4,2024,2024-12-31
+PG,Procter & Gamble,Analyst Selectivity Ratio,CQ42024,52.38,4,2024,2024-12-31
+SYY,Sysco,Analyst Selectivity Ratio,CQ42024,40.0,4,2024,2024-12-31
+WMT,Walmart,Analyst Selectivity Ratio,CQ42024,30.0,4,2024,2024-12-31
+APA,APA Corporation,Analyst Selectivity Ratio,CQ42024,22.73,4,2024,2024-12-31
+CVX,Chevron Corporation,Analyst Selectivity Ratio,CQ42024,,4,2024,2024-12-31
+CTRA,Coterra Energy,Analyst Selectivity Ratio,CQ42024,29.41,4,2024,2024-12-31
+EOG,EOG Resources,Analyst Selectivity Ratio,CQ42024,19.05,4,2024,2024-12-31
+XOM,ExxonMobil,Analyst Selectivity Ratio,CQ42024,40.0,4,2024,2024-12-31
+HAL,Halliburton,Analyst Selectivity Ratio,CQ42024,20.83,4,2024,2024-12-31
+OXY,Occidental Petroleum,Analyst Selectivity Ratio,CQ42024,11.76,4,2024,2024-12-31
+SLB,Schlumberger,Analyst Selectivity Ratio,CQ42024,34.78,4,2024,2024-12-31
+VLO,Valero Energy,Analyst Selectivity Ratio,CQ42024,46.15,4,2024,2024-12-31
+AFL,Aflac,Analyst Selectivity Ratio,CQ42024,40.0,4,2024,2024-12-31
+ALL,Allstate,Analyst Selectivity Ratio,CQ42024,28.57,4,2024,2024-12-31
+AXP,American Express,Analyst Selectivity Ratio,CQ42024,33.33,4,2024,2024-12-31
+AIG,American International Group,Analyst Selectivity Ratio,CQ42024,18.18,4,2024,2024-12-31
+AMP,Ameriprise Financial,Analyst Selectivity Ratio,CQ42024,72.73,4,2024,2024-12-31
+AON,Aon plc,Analyst Selectivity Ratio,CQ42024,40.0,4,2024,2024-12-31
+BK,BNY Mellon,Analyst Selectivity Ratio,CQ42024,64.29,4,2024,2024-12-31
+BAC,Bank of America,Analyst Selectivity Ratio,CQ42024,36.84,4,2024,2024-12-31
+BRK.B,Berkshire Hathaway,Analyst Selectivity Ratio,CQ42024,,4,2024,2024-12-31
+BLK,BlackRock,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+CME,CME Group,Analyst Selectivity Ratio,CQ42024,60.0,4,2024,2024-12-31
+SCHW,Charles Schwab,Analyst Selectivity Ratio,CQ42024,,4,2024,2024-12-31
+CB,Chubb Limited,Analyst Selectivity Ratio,CQ42024,29.41,4,2024,2024-12-31
+CINF,Cincinnati Financial,Analyst Selectivity Ratio,CQ42024,57.14,4,2024,2024-12-31
+C,Citigroup,Analyst Selectivity Ratio,CQ42024,47.06,4,2024,2024-12-31
+FIS,Fidelity National Information Services,Analyst Selectivity Ratio,CQ42024,32.0,4,2024,2024-12-31
+FITB,Fifth Third Bancorp,Analyst Selectivity Ratio,CQ42024,35.0,4,2024,2024-12-31
+FISV,Fiserv,Analyst Selectivity Ratio,CQ42024,21.43,4,2024,2024-12-31
+GS,Goldman Sachs,Analyst Selectivity Ratio,CQ42024,35.29,4,2024,2024-12-31
+HIG,Hartford Financial,Analyst Selectivity Ratio,CQ42024,42.86,4,2024,2024-12-31
+ICE,Intercontinental Exchange,Analyst Selectivity Ratio,CQ42024,40.0,4,2024,2024-12-31
+IVZ,Invesco,Analyst Selectivity Ratio,CQ42024,53.85,4,2024,2024-12-31
+JPM,JPMorgan Chase,Analyst Selectivity Ratio,CQ42024,42.11,4,2024,2024-12-31
+KEY,KeyCorp,Analyst Selectivity Ratio,CQ42024,31.25,4,2024,2024-12-31
+MA,Mastercard,Analyst Selectivity Ratio,CQ42024,21.88,4,2024,2024-12-31
+MET,MetLife,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+MS,Morgan Stanley,Analyst Selectivity Ratio,CQ42024,27.78,4,2024,2024-12-31
+NDAQ,"Nasdaq, Inc.",Analyst Selectivity Ratio,CQ42024,56.25,4,2024,2024-12-31
+NTRS,Northern Trust,Analyst Selectivity Ratio,CQ42024,75.0,4,2024,2024-12-31
+PNC,PNC Financial Services,Analyst Selectivity Ratio,CQ42024,35.0,4,2024,2024-12-31
+PRU,Prudential Financial,Analyst Selectivity Ratio,CQ42024,42.86,4,2024,2024-12-31
+RF,Regions Financial,Analyst Selectivity Ratio,CQ42024,27.27,4,2024,2024-12-31
+SPGI,S&P Global,Analyst Selectivity Ratio,CQ42024,52.63,4,2024,2024-12-31
+STT,State Street,Analyst Selectivity Ratio,CQ42024,53.85,4,2024,2024-12-31
+TROW,T. Rowe Price,Analyst Selectivity Ratio,CQ42024,54.55,4,2024,2024-12-31
+TRV,Travelers Companies,Analyst Selectivity Ratio,CQ42024,36.84,4,2024,2024-12-31
+USB,U.S. Bancorp,Analyst Selectivity Ratio,CQ42024,38.1,4,2024,2024-12-31
+V,Visa,Analyst Selectivity Ratio,CQ42024,23.53,4,2024,2024-12-31
+WFC,Wells Fargo,Analyst Selectivity Ratio,CQ42024,36.36,4,2024,2024-12-31
+ABBV,AbbVie,Analyst Selectivity Ratio,CQ42024,28.57,4,2024,2024-12-31
+ABT,Abbott Laboratories,Analyst Selectivity Ratio,CQ42024,31.58,4,2024,2024-12-31
+A,Agilent Technologies,Analyst Selectivity Ratio,CQ42024,46.67,4,2024,2024-12-31
+AMGN,Amgen,Analyst Selectivity Ratio,CQ42024,43.48,4,2024,2024-12-31
+BAX,Baxter International,Analyst Selectivity Ratio,CQ42024,46.15,4,2024,2024-12-31
+BDX,Becton Dickinson,Analyst Selectivity Ratio,CQ42024,37.5,4,2024,2024-12-31
+BIIB,Biogen,Analyst Selectivity Ratio,CQ42024,29.63,4,2024,2024-12-31
+BSX,Boston Scientific,Analyst Selectivity Ratio,CQ42024,35.71,4,2024,2024-12-31
+BMY,Bristol Myers Squibb,Analyst Selectivity Ratio,CQ42024,55.56,4,2024,2024-12-31
+CVS,CVS Health,Analyst Selectivity Ratio,CQ42024,16.67,4,2024,2024-12-31
+COR,Cencora,Analyst Selectivity Ratio,CQ42024,,4,2024,2024-12-31
+CI,Cigna,Analyst Selectivity Ratio,CQ42024,37.5,4,2024,2024-12-31
+DVA,DaVita,Analyst Selectivity Ratio,CQ42024,66.67,4,2024,2024-12-31
+DHR,Danaher Corporation,Analyst Selectivity Ratio,CQ42024,18.18,4,2024,2024-12-31
+LLY,Eli Lilly,Analyst Selectivity Ratio,CQ42024,36.36,4,2024,2024-12-31
+GILD,Gilead Sciences,Analyst Selectivity Ratio,CQ42024,31.82,4,2024,2024-12-31
+HUM,Humana,Analyst Selectivity Ratio,CQ42024,31.25,4,2024,2024-12-31
+ISRG,Intuitive Surgical,Analyst Selectivity Ratio,CQ42024,25.0,4,2024,2024-12-31
+JNJ,Johnson & Johnson,Analyst Selectivity Ratio,CQ42024,31.25,4,2024,2024-12-31
+LH,Labcorp,Analyst Selectivity Ratio,CQ42024,64.29,4,2024,2024-12-31
+MCK,McKesson Corporation,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+MDT,Medtronic,Analyst Selectivity Ratio,CQ42024,27.59,4,2024,2024-12-31
+MRK,Merck & Co.,Analyst Selectivity Ratio,CQ42024,30.0,4,2024,2024-12-31
+PFE,Pfizer,Analyst Selectivity Ratio,CQ42024,56.25,4,2024,2024-12-31
+TMO,Thermo Fisher Scientific,Analyst Selectivity Ratio,CQ42024,16.0,4,2024,2024-12-31
+WAT,Waters Corporation,Analyst Selectivity Ratio,CQ42024,26.67,4,2024,2024-12-31
+ZBH,Zimmer Biomet,Analyst Selectivity Ratio,CQ42024,40.91,4,2024,2024-12-31
+MMM,3M,Analyst Selectivity Ratio,CQ42024,61.54,4,2024,2024-12-31
+AME,Ametek,Analyst Selectivity Ratio,CQ42024,64.29,4,2024,2024-12-31
+ADP,Automatic Data Processing,Analyst Selectivity Ratio,CQ42024,35.29,4,2024,2024-12-31
+BA,Boeing,Analyst Selectivity Ratio,CQ42024,38.89,4,2024,2024-12-31
+CSX,CSX Corporation,Analyst Selectivity Ratio,CQ42024,45.45,4,2024,2024-12-31
+CAT,Caterpillar Inc.,Analyst Selectivity Ratio,CQ42024,59.09,4,2024,2024-12-31
+CTAS,Cintas,Analyst Selectivity Ratio,CQ42024,52.63,4,2024,2024-12-31
+CMI,Cummins,Analyst Selectivity Ratio,CQ42024,47.62,4,2024,2024-12-31
+DE,Deere & Company,Analyst Selectivity Ratio,CQ42024,31.82,4,2024,2024-12-31
+ETN,Eaton Corporation,Analyst Selectivity Ratio,CQ42024,40.0,4,2024,2024-12-31
+EMR,Emerson Electric,Analyst Selectivity Ratio,CQ42024,23.81,4,2024,2024-12-31
+EFX,Equifax,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+EXPD,Expeditors International,Analyst Selectivity Ratio,CQ42024,,4,2024,2024-12-31
+FDX,FedEx,Analyst Selectivity Ratio,CQ42024,31.03,4,2024,2024-12-31
+GE,GE Aerospace,Analyst Selectivity Ratio,CQ42024,60.0,4,2024,2024-12-31
+GD,General Dynamics,Analyst Selectivity Ratio,CQ42024,33.33,4,2024,2024-12-31
+ITW,Illinois Tool Works,Analyst Selectivity Ratio,CQ42024,25.0,4,2024,2024-12-31
+LMT,Lockheed Martin,Analyst Selectivity Ratio,CQ42024,33.33,4,2024,2024-12-31
+NSC,Norfolk Southern,Analyst Selectivity Ratio,CQ42024,39.13,4,2024,2024-12-31
+NOC,Northrop Grumman,Analyst Selectivity Ratio,CQ42024,31.25,4,2024,2024-12-31
+PCAR,Paccar,Analyst Selectivity Ratio,CQ42024,61.11,4,2024,2024-12-31
+RTX,RTX Corporation,Analyst Selectivity Ratio,CQ42024,40.0,4,2024,2024-12-31
+ROK,Rockwell Automation,Analyst Selectivity Ratio,CQ42024,26.09,4,2024,2024-12-31
+ROP,Roper Technologies,Analyst Selectivity Ratio,CQ42024,57.14,4,2024,2024-12-31
+SNA,Snap-on,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+SWK,Stanley Black & Decker,Analyst Selectivity Ratio,CQ42024,35.71,4,2024,2024-12-31
+UPS,United Parcel Service,Analyst Selectivity Ratio,CQ42024,23.08,4,2024,2024-12-31
+WM,Waste Management,Analyst Selectivity Ratio,CQ42024,52.38,4,2024,2024-12-31
+ACN,Accenture,Analyst Selectivity Ratio,CQ42024,32.0,4,2024,2024-12-31
+ADBE,Adobe Inc.,Analyst Selectivity Ratio,CQ42024,15.15,4,2024,2024-12-31
+AKAM,Akamai Technologies,Analyst Selectivity Ratio,CQ42024,18.18,4,2024,2024-12-31
+APH,Amphenol,Analyst Selectivity Ratio,CQ42024,52.94,4,2024,2024-12-31
+ADI,Analog Devices,Analyst Selectivity Ratio,CQ42024,28.0,4,2024,2024-12-31
+AAPL,Apple Inc.,Analyst Selectivity Ratio,CQ42024,19.05,4,2024,2024-12-31
+AMAT,Applied Materials,Analyst Selectivity Ratio,CQ42024,34.62,4,2024,2024-12-31
+ADSK,Autodesk,Analyst Selectivity Ratio,CQ42024,34.62,4,2024,2024-12-31
+AVGO,Broadcom,Analyst Selectivity Ratio,CQ42024,23.68,4,2024,2024-12-31
+CSCO,Cisco,Analyst Selectivity Ratio,CQ42024,38.46,4,2024,2024-12-31
+CTSH,Cognizant,Analyst Selectivity Ratio,CQ42024,26.92,4,2024,2024-12-31
+HPQ,HP Inc.,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+IBM,IBM,Analyst Selectivity Ratio,CQ42024,35.29,4,2024,2024-12-31
+INTC,Intel,Analyst Selectivity Ratio,CQ42024,13.89,4,2024,2024-12-31
+INTU,Intuit,Analyst Selectivity Ratio,CQ42024,28.0,4,2024,2024-12-31
+LRCX,Lam Research,Analyst Selectivity Ratio,CQ42024,32.0,4,2024,2024-12-31
+MU,Micron Technology,Analyst Selectivity Ratio,CQ42024,18.18,4,2024,2024-12-31
+MSFT,Microsoft,Analyst Selectivity Ratio,CQ42024,10.2,4,2024,2024-12-31
+MSI,Motorola Solutions,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+NTAP,NetApp,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+NVDA,Nvidia,Analyst Selectivity Ratio,CQ42024,12.5,4,2024,2024-12-31
+ORCL,Oracle Corporation,Analyst Selectivity Ratio,CQ42024,17.24,4,2024,2024-12-31
+TXN,Texas Instruments,Analyst Selectivity Ratio,CQ42024,24.14,4,2024,2024-12-31
+APD,Air Products,Analyst Selectivity Ratio,CQ42024,35.29,4,2024,2024-12-31
+AVY,Avery Dennison,Analyst Selectivity Ratio,CQ42024,60.0,4,2024,2024-12-31
+ECL,Ecolab,Analyst Selectivity Ratio,CQ42024,72.22,4,2024,2024-12-31
+IFF,International Flavors & Fragrances,Analyst Selectivity Ratio,CQ42024,62.5,4,2024,2024-12-31
+IP,International Paper,Analyst Selectivity Ratio,CQ42024,44.44,4,2024,2024-12-31
+LIN,Linde plc,Analyst Selectivity Ratio,CQ42024,55.56,4,2024,2024-12-31
+NEM,Newmont,Analyst Selectivity Ratio,CQ42024,33.33,4,2024,2024-12-31
+NUE,Nucor,Analyst Selectivity Ratio,CQ42024,70.0,4,2024,2024-12-31
+AMT,American Tower,Analyst Selectivity Ratio,CQ42024,70.0,4,2024,2024-12-31
+AVB,AvalonBay Communities,Analyst Selectivity Ratio,CQ42024,62.5,4,2024,2024-12-31
+EQR,Equity Residential,Analyst Selectivity Ratio,CQ42024,40.0,4,2024,2024-12-31
+DOC,Healthpeak Properties,Analyst Selectivity Ratio,CQ42024,57.14,4,2024,2024-12-31
+IRM,Iron Mountain,Analyst Selectivity Ratio,CQ42024,100.0,4,2024,2024-12-31
+PLD,Prologis,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+VTR,Ventas,Analyst Selectivity Ratio,CQ42024,60.0,4,2024,2024-12-31
+WY,Weyerhaeuser,Analyst Selectivity Ratio,CQ42024,50.0,4,2024,2024-12-31
+AES,AES Corporation,Analyst Selectivity Ratio,CQ42024,45.45,4,2024,2024-12-31
+AEE,Ameren,Analyst Selectivity Ratio,CQ42024,15.38,4,2024,2024-12-31
+AEP,American Electric Power,Analyst Selectivity Ratio,CQ42024,37.5,4,2024,2024-12-31
+CMS,CMS Energy,Analyst Selectivity Ratio,CQ42024,38.46,4,2024,2024-12-31
+CNP,CenterPoint Energy,Analyst Selectivity Ratio,CQ42024,30.77,4,2024,2024-12-31
+DUK,Duke Energy,Analyst Selectivity Ratio,CQ42024,25.0,4,2024,2024-12-31
+EIX,Edison International,Analyst Selectivity Ratio,CQ42024,35.29,4,2024,2024-12-31
+ETR,Entergy,Analyst Selectivity Ratio,CQ42024,35.71,4,2024,2024-12-31
+EXC,Exelon,Analyst Selectivity Ratio,CQ42024,20.0,4,2024,2024-12-31
+NEE,NextEra Energy,Analyst Selectivity Ratio,CQ42024,15.79,4,2024,2024-12-31
+SO,Southern Company,Analyst Selectivity Ratio,CQ42024,41.18,4,2024,2024-12-31
+XEL,Xcel Energy,Analyst Selectivity Ratio,CQ42024,46.15,4,2024,2024-12-31
+T,AT&T,Language Complexity,CQ42024,13.81,4,2024,2024-12-31
+GOOGL,Alphabet Inc. (Class A),Language Complexity,CQ42024,12.72,4,2024,2024-12-31
+GOOG,Alphabet Inc. (Class C),Language Complexity,CQ42024,,4,2024,2024-12-31
+META,Meta Platforms,Language Complexity,CQ42024,13.18,4,2024,2024-12-31
+NFLX,Netflix,Language Complexity,CQ42024,10.48,4,2024,2024-12-31
+NWSA,News Corp (Class A),Language Complexity,CQ42024,14.97,4,2024,2024-12-31
+OMC,Omnicom Group,Language Complexity,CQ42024,12.65,4,2024,2024-12-31
+VZ,Verizon,Language Complexity,CQ42024,9.65,4,2024,2024-12-31
+AMZN,Amazon,Language Complexity,CQ42024,13.82,4,2024,2024-12-31
+AZO,AutoZone,Language Complexity,CQ42024,11.66,4,2024,2024-12-31
+BBY,Best Buy,Language Complexity,CQ42024,13.52,4,2024,2024-12-31
+BKNG,Booking Holdings,Language Complexity,CQ42024,12.38,4,2024,2024-12-31
+CMG,Chipotle Mexican Grill,Language Complexity,CQ42024,12.43,4,2024,2024-12-31
+DRI,Darden Restaurants,Language Complexity,CQ42024,11.07,4,2024,2024-12-31
+F,Ford Motor Company,Language Complexity,CQ42024,11.19,4,2024,2024-12-31
+GM,General Motors,Language Complexity,CQ42024,12.37,4,2024,2024-12-31
+GPC,Genuine Parts Company,Language Complexity,CQ42024,14.39,4,2024,2024-12-31
+HAS,Hasbro,Language Complexity,CQ42024,11.4,4,2024,2024-12-31
+LOW,Lowe's,Language Complexity,CQ42024,13.28,4,2024,2024-12-31
+MCD,McDonald's,Language Complexity,CQ42024,13.13,4,2024,2024-12-31
+NKE,"Nike, Inc.",Language Complexity,CQ42024,12.21,4,2024,2024-12-31
+ROST,Ross Stores,Language Complexity,CQ42024,10.81,4,2024,2024-12-31
+TJX,TJX Companies,Language Complexity,CQ42024,11.62,4,2024,2024-12-31
+TGT,Target,Language Complexity,CQ42024,14.24,4,2024,2024-12-31
+MO,Altria,Language Complexity,CQ42024,13.02,4,2024,2024-12-31
+ADM,Archer Daniels Midland,Language Complexity,CQ42024,12.4,4,2024,2024-12-31
+BF.B,Brown-Forman,Language Complexity,CQ42024,13.71,4,2024,2024-12-31
+CLX,Clorox,Language Complexity,CQ42024,11.31,4,2024,2024-12-31
+KO,Coca-Cola Company,Language Complexity,CQ42024,12.55,4,2024,2024-12-31
+COST,Costco,Language Complexity,CQ42024,11.76,4,2024,2024-12-31
+GIS,General Mills,Language Complexity,CQ42024,10.71,4,2024,2024-12-31
+HSY,Hershey Company,Language Complexity,CQ42024,10.08,4,2024,2024-12-31
+KMB,Kimberly-Clark,Language Complexity,CQ42024,11.53,4,2024,2024-12-31
+KR,Kroger,Language Complexity,CQ42024,12.63,4,2024,2024-12-31
+MKC,McCormick & Company,Language Complexity,CQ42024,11.94,4,2024,2024-12-31
+PEP,PepsiCo,Language Complexity,CQ42024,12.15,4,2024,2024-12-31
+PG,Procter & Gamble,Language Complexity,CQ42024,11.48,4,2024,2024-12-31
+SYY,Sysco,Language Complexity,CQ42024,12.06,4,2024,2024-12-31
+WMT,Walmart,Language Complexity,CQ42024,12.3,4,2024,2024-12-31
+APA,APA Corporation,Language Complexity,CQ42024,11.32,4,2024,2024-12-31
+CVX,Chevron Corporation,Language Complexity,CQ42024,,4,2024,2024-12-31
+CTRA,Coterra Energy,Language Complexity,CQ42024,11.29,4,2024,2024-12-31
+EOG,EOG Resources,Language Complexity,CQ42024,13.41,4,2024,2024-12-31
+XOM,ExxonMobil,Language Complexity,CQ42024,13.75,4,2024,2024-12-31
+HAL,Halliburton,Language Complexity,CQ42024,12.74,4,2024,2024-12-31
+OXY,Occidental Petroleum,Language Complexity,CQ42024,13.6,4,2024,2024-12-31
+SLB,Schlumberger,Language Complexity,CQ42024,14.14,4,2024,2024-12-31
+VLO,Valero Energy,Language Complexity,CQ42024,11.07,4,2024,2024-12-31
+AFL,Aflac,Language Complexity,CQ42024,11.91,4,2024,2024-12-31
+ALL,Allstate,Language Complexity,CQ42024,11.85,4,2024,2024-12-31
+AXP,American Express,Language Complexity,CQ42024,12.41,4,2024,2024-12-31
+AIG,American International Group,Language Complexity,CQ42024,14.28,4,2024,2024-12-31
+AMP,Ameriprise Financial,Language Complexity,CQ42024,12.56,4,2024,2024-12-31
+AON,Aon plc,Language Complexity,CQ42024,13.48,4,2024,2024-12-31
+BK,BNY Mellon,Language Complexity,CQ42024,12.75,4,2024,2024-12-31
+BAC,Bank of America,Language Complexity,CQ42024,12.0,4,2024,2024-12-31
+BRK.B,Berkshire Hathaway,Language Complexity,CQ42024,,4,2024,2024-12-31
+BLK,BlackRock,Language Complexity,CQ42024,13.5,4,2024,2024-12-31
+CME,CME Group,Language Complexity,CQ42024,10.97,4,2024,2024-12-31
+SCHW,Charles Schwab,Language Complexity,CQ42024,,4,2024,2024-12-31
+CB,Chubb Limited,Language Complexity,CQ42024,11.0,4,2024,2024-12-31
+CINF,Cincinnati Financial,Language Complexity,CQ42024,12.2,4,2024,2024-12-31
+C,Citigroup,Language Complexity,CQ42024,12.67,4,2024,2024-12-31
+FIS,Fidelity National Information Services,Language Complexity,CQ42024,11.32,4,2024,2024-12-31
+FITB,Fifth Third Bancorp,Language Complexity,CQ42024,12.98,4,2024,2024-12-31
+FISV,Fiserv,Language Complexity,CQ42024,13.13,4,2024,2024-12-31
+GS,Goldman Sachs,Language Complexity,CQ42024,12.71,4,2024,2024-12-31
+HIG,Hartford Financial,Language Complexity,CQ42024,12.04,4,2024,2024-12-31
+ICE,Intercontinental Exchange,Language Complexity,CQ42024,15.16,4,2024,2024-12-31
+IVZ,Invesco,Language Complexity,CQ42024,12.58,4,2024,2024-12-31
+JPM,JPMorgan Chase,Language Complexity,CQ42024,10.73,4,2024,2024-12-31
+KEY,KeyCorp,Language Complexity,CQ42024,11.58,4,2024,2024-12-31
+MA,Mastercard,Language Complexity,CQ42024,12.38,4,2024,2024-12-31
+MET,MetLife,Language Complexity,CQ42024,12.15,4,2024,2024-12-31
+MS,Morgan Stanley,Language Complexity,CQ42024,11.69,4,2024,2024-12-31
+NDAQ,"Nasdaq, Inc.",Language Complexity,CQ42024,13.16,4,2024,2024-12-31
+NTRS,Northern Trust,Language Complexity,CQ42024,11.3,4,2024,2024-12-31
+PNC,PNC Financial Services,Language Complexity,CQ42024,10.71,4,2024,2024-12-31
+PRU,Prudential Financial,Language Complexity,CQ42024,14.48,4,2024,2024-12-31
+RF,Regions Financial,Language Complexity,CQ42024,12.71,4,2024,2024-12-31
+SPGI,S&P Global,Language Complexity,CQ42024,13.75,4,2024,2024-12-31
+STT,State Street,Language Complexity,CQ42024,12.52,4,2024,2024-12-31
+TROW,T. Rowe Price,Language Complexity,CQ42024,12.72,4,2024,2024-12-31
+TRV,Travelers Companies,Language Complexity,CQ42024,12.73,4,2024,2024-12-31
+USB,U.S. Bancorp,Language Complexity,CQ42024,11.53,4,2024,2024-12-31
+V,Visa,Language Complexity,CQ42024,12.98,4,2024,2024-12-31
+WFC,Wells Fargo,Language Complexity,CQ42024,12.6,4,2024,2024-12-31
+ABBV,AbbVie,Language Complexity,CQ42024,12.78,4,2024,2024-12-31
+ABT,Abbott Laboratories,Language Complexity,CQ42024,11.47,4,2024,2024-12-31
+A,Agilent Technologies,Language Complexity,CQ42024,11.42,4,2024,2024-12-31
+AMGN,Amgen,Language Complexity,CQ42024,12.94,4,2024,2024-12-31
+BAX,Baxter International,Language Complexity,CQ42024,13.61,4,2024,2024-12-31
+BDX,Becton Dickinson,Language Complexity,CQ42024,13.78,4,2024,2024-12-31
+BIIB,Biogen,Language Complexity,CQ42024,13.25,4,2024,2024-12-31
+BSX,Boston Scientific,Language Complexity,CQ42024,13.1,4,2024,2024-12-31
+BMY,Bristol Myers Squibb,Language Complexity,CQ42024,12.04,4,2024,2024-12-31
+CVS,CVS Health,Language Complexity,CQ42024,14.39,4,2024,2024-12-31
+COR,Cencora,Language Complexity,CQ42024,,4,2024,2024-12-31
+CI,Cigna,Language Complexity,CQ42024,14.62,4,2024,2024-12-31
+DVA,DaVita,Language Complexity,CQ42024,10.15,4,2024,2024-12-31
+DHR,Danaher Corporation,Language Complexity,CQ42024,12.72,4,2024,2024-12-31
+LLY,Eli Lilly,Language Complexity,CQ42024,12.52,4,2024,2024-12-31
+GILD,Gilead Sciences,Language Complexity,CQ42024,12.8,4,2024,2024-12-31
+HUM,Humana,Language Complexity,CQ42024,12.27,4,2024,2024-12-31
+ISRG,Intuitive Surgical,Language Complexity,CQ42024,12.9,4,2024,2024-12-31
+JNJ,Johnson & Johnson,Language Complexity,CQ42024,13.77,4,2024,2024-12-31
+LH,Labcorp,Language Complexity,CQ42024,11.6,4,2024,2024-12-31
+MCK,McKesson Corporation,Language Complexity,CQ42024,14.46,4,2024,2024-12-31
+MDT,Medtronic,Language Complexity,CQ42024,12.34,4,2024,2024-12-31
+MRK,Merck & Co.,Language Complexity,CQ42024,13.44,4,2024,2024-12-31
+PFE,Pfizer,Language Complexity,CQ42024,12.46,4,2024,2024-12-31
+TMO,Thermo Fisher Scientific,Language Complexity,CQ42024,13.21,4,2024,2024-12-31
+WAT,Waters Corporation,Language Complexity,CQ42024,12.44,4,2024,2024-12-31
+ZBH,Zimmer Biomet,Language Complexity,CQ42024,10.91,4,2024,2024-12-31
+MMM,3M,Language Complexity,CQ42024,10.85,4,2024,2024-12-31
+AME,Ametek,Language Complexity,CQ42024,11.07,4,2024,2024-12-31
+ADP,Automatic Data Processing,Language Complexity,CQ42024,10.99,4,2024,2024-12-31
+BA,Boeing,Language Complexity,CQ42024,11.27,4,2024,2024-12-31
+CSX,CSX Corporation,Language Complexity,CQ42024,12.26,4,2024,2024-12-31
+CAT,Caterpillar Inc.,Language Complexity,CQ42024,12.53,4,2024,2024-12-31
+CTAS,Cintas,Language Complexity,CQ42024,10.86,4,2024,2024-12-31
+CMI,Cummins,Language Complexity,CQ42024,12.63,4,2024,2024-12-31
+DE,Deere & Company,Language Complexity,CQ42024,13.88,4,2024,2024-12-31
+ETN,Eaton Corporation,Language Complexity,CQ42024,12.15,4,2024,2024-12-31
+EMR,Emerson Electric,Language Complexity,CQ42024,14.41,4,2024,2024-12-31
+EFX,Equifax,Language Complexity,CQ42024,12.55,4,2024,2024-12-31
+EXPD,Expeditors International,Language Complexity,CQ42024,,4,2024,2024-12-31
+FDX,FedEx,Language Complexity,CQ42024,13.39,4,2024,2024-12-31
+GE,GE Aerospace,Language Complexity,CQ42024,11.57,4,2024,2024-12-31
+GD,General Dynamics,Language Complexity,CQ42024,10.85,4,2024,2024-12-31
+ITW,Illinois Tool Works,Language Complexity,CQ42024,12.76,4,2024,2024-12-31
+LMT,Lockheed Martin,Language Complexity,CQ42024,13.1,4,2024,2024-12-31
+NSC,Norfolk Southern,Language Complexity,CQ42024,12.3,4,2024,2024-12-31
+NOC,Northrop Grumman,Language Complexity,CQ42024,12.82,4,2024,2024-12-31
+PCAR,Paccar,Language Complexity,CQ42024,9.99,4,2024,2024-12-31
+RTX,RTX Corporation,Language Complexity,CQ42024,11.59,4,2024,2024-12-31
+ROK,Rockwell Automation,Language Complexity,CQ42024,12.42,4,2024,2024-12-31
+ROP,Roper Technologies,Language Complexity,CQ42024,11.53,4,2024,2024-12-31
+SNA,Snap-on,Language Complexity,CQ42024,11.83,4,2024,2024-12-31
+SWK,Stanley Black & Decker,Language Complexity,CQ42024,13.65,4,2024,2024-12-31
+UPS,United Parcel Service,Language Complexity,CQ42024,11.0,4,2024,2024-12-31
+WM,Waste Management,Language Complexity,CQ42024,12.7,4,2024,2024-12-31
+ACN,Accenture,Language Complexity,CQ42024,12.91,4,2024,2024-12-31
+ADBE,Adobe Inc.,Language Complexity,CQ42024,15.49,4,2024,2024-12-31
+AKAM,Akamai Technologies,Language Complexity,CQ42024,12.92,4,2024,2024-12-31
+APH,Amphenol,Language Complexity,CQ42024,13.1,4,2024,2024-12-31
+ADI,Analog Devices,Language Complexity,CQ42024,12.9,4,2024,2024-12-31
+AAPL,Apple Inc.,Language Complexity,CQ42024,11.83,4,2024,2024-12-31
+AMAT,Applied Materials,Language Complexity,CQ42024,12.86,4,2024,2024-12-31
+ADSK,Autodesk,Language Complexity,CQ42024,13.23,4,2024,2024-12-31
+AVGO,Broadcom,Language Complexity,CQ42024,10.47,4,2024,2024-12-31
+CSCO,Cisco,Language Complexity,CQ42024,11.75,4,2024,2024-12-31
+CTSH,Cognizant,Language Complexity,CQ42024,13.49,4,2024,2024-12-31
+HPQ,HP Inc.,Language Complexity,CQ42024,12.68,4,2024,2024-12-31
+IBM,IBM,Language Complexity,CQ42024,13.11,4,2024,2024-12-31
+INTC,Intel,Language Complexity,CQ42024,12.26,4,2024,2024-12-31
+INTU,Intuit,Language Complexity,CQ42024,12.46,4,2024,2024-12-31
+LRCX,Lam Research,Language Complexity,CQ42024,11.58,4,2024,2024-12-31
+MU,Micron Technology,Language Complexity,CQ42024,10.25,4,2024,2024-12-31
+MSFT,Microsoft,Language Complexity,CQ42024,13.42,4,2024,2024-12-31
+MSI,Motorola Solutions,Language Complexity,CQ42024,11.52,4,2024,2024-12-31
+NTAP,NetApp,Language Complexity,CQ42024,11.15,4,2024,2024-12-31
+NVDA,Nvidia,Language Complexity,CQ42024,11.9,4,2024,2024-12-31
+ORCL,Oracle Corporation,Language Complexity,CQ42024,12.25,4,2024,2024-12-31
+TXN,Texas Instruments,Language Complexity,CQ42024,9.64,4,2024,2024-12-31
+APD,Air Products,Language Complexity,CQ42024,11.44,4,2024,2024-12-31
+AVY,Avery Dennison,Language Complexity,CQ42024,13.38,4,2024,2024-12-31
+ECL,Ecolab,Language Complexity,CQ42024,11.97,4,2024,2024-12-31
+IFF,International Flavors & Fragrances,Language Complexity,CQ42024,12.49,4,2024,2024-12-31
+IP,International Paper,Language Complexity,CQ42024,11.3,4,2024,2024-12-31
+LIN,Linde plc,Language Complexity,CQ42024,12.04,4,2024,2024-12-31
+NEM,Newmont,Language Complexity,CQ42024,12.91,4,2024,2024-12-31
+NUE,Nucor,Language Complexity,CQ42024,12.03,4,2024,2024-12-31
+AMT,American Tower,Language Complexity,CQ42024,13.5,4,2024,2024-12-31
+AVB,AvalonBay Communities,Language Complexity,CQ42024,12.33,4,2024,2024-12-31
+EQR,Equity Residential,Language Complexity,CQ42024,12.33,4,2024,2024-12-31
+DOC,Healthpeak Properties,Language Complexity,CQ42024,10.38,4,2024,2024-12-31
+IRM,Iron Mountain,Language Complexity,CQ42024,12.48,4,2024,2024-12-31
+PLD,Prologis,Language Complexity,CQ42024,11.35,4,2024,2024-12-31
+VTR,Ventas,Language Complexity,CQ42024,12.18,4,2024,2024-12-31
+WY,Weyerhaeuser,Language Complexity,CQ42024,11.77,4,2024,2024-12-31
+AES,AES Corporation,Language Complexity,CQ42024,11.1,4,2024,2024-12-31
+AEE,Ameren,Language Complexity,CQ42024,14.46,4,2024,2024-12-31
+AEP,American Electric Power,Language Complexity,CQ42024,12.97,4,2024,2024-12-31
+CMS,CMS Energy,Language Complexity,CQ42024,12.6,4,2024,2024-12-31
+CNP,CenterPoint Energy,Language Complexity,CQ42024,14.25,4,2024,2024-12-31
+DUK,Duke Energy,Language Complexity,CQ42024,12.06,4,2024,2024-12-31
+EIX,Edison International,Language Complexity,CQ42024,12.56,4,2024,2024-12-31
+ETR,Entergy,Language Complexity,CQ42024,13.14,4,2024,2024-12-31
+EXC,Exelon,Language Complexity,CQ42024,12.93,4,2024,2024-12-31
+NEE,NextEra Energy,Language Complexity,CQ42024,13.62,4,2024,2024-12-31
+SO,Southern Company,Language Complexity,CQ42024,12.2,4,2024,2024-12-31
+XEL,Xcel Energy,Language Complexity,CQ42024,12.65,4,2024,2024-12-31
diff --git a/Transcripts Machine Readable Data.csv b/data/raw/Transcripts Machine Readable Data.csv
similarity index 100%
rename from Transcripts Machine Readable Data.csv
rename to data/raw/Transcripts Machine Readable Data.csv
diff --git a/crsp_v2_2014_2024.csv b/data/raw/crsp_v2_2014_2024.csv
similarity index 100%
rename from crsp_v2_2014_2024.csv
rename to data/raw/crsp_v2_2014_2024.csv
diff --git a/notebooks/EDA_CRSP.ipynb b/notebooks/EDA_CRSP.ipynb
new file mode 100644
index 0000000..af34492
--- /dev/null
+++ b/notebooks/EDA_CRSP.ipynb
@@ -0,0 +1,2551 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "110bea9a",
+   "metadata": {},
+   "source": [
+    "# CRSP v2 Daily Basic EDA\n",
+    "\n",
+    "This notebook performs basic exploratory data analysis on `crsp_v2_2014_2024.csv` with emphasis on univariate analysis.\n",
+    "\n",
+    "Scope:\n",
+    "- Data loading and quick schema checks\n",
+    "- Missing values and duplicate diagnostics\n",
+    "- Univariate analysis for categorical, numeric, and date fields\n",
+    "- Basic sanity checks for OHLC and returns\n",
+    "- Export of summary tables for downstream modeling\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "5e9a6942",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Libraries loaded.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import warnings\n",
+    "from pathlib import Path\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "\n",
+    "sns.set_theme(style=\"whitegrid\")\n",
+    "pd.set_option(\"display.max_columns\", 120)\n",
+    "pd.set_option(\"display.width\", 200)\n",
+    "print(\"Libraries loaded.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "f67d241c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Project root: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\n",
+      "Data path: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\raw\\crsp_v2_2014_2024.csv\n",
+      "Exists? True\n",
+      "Output dir: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\n"
+     ]
+    }
+   ],
+   "source": [
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "\n",
+    "# Project root finder\n",
+    "ROOT = Path.cwd()\n",
+    "\n",
+    "# If notebook is running from notebooks/, move up one level\n",
+    "if ROOT.name == \"notebooks\":\n",
+    "    ROOT = ROOT.parent\n",
+    "\n",
+    "DATA_PATH = ROOT / \"data\" / \"raw\" / \"crsp_v2_2014_2024.csv\"\n",
+    "OUTPUT_DIR = ROOT / \"data\" / \"processed\"\n",
+    "OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "print(\"Project root:\", ROOT)\n",
+    "print(\"Data path:\", DATA_PATH)\n",
+    "print(\"Exists?\", DATA_PATH.exists())\n",
+    "print(\"Output dir:\", OUTPUT_DIR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "6edf8267",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Data path: C:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\raw\\crsp_v2_2014_2024.csv\n",
+      "Output path: C:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\notebooks\\data\\processed\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Config\n",
+    "DATA_PATH = Path(\"C:\\\\Users\\\\mkp22\\\\OneDrive\\\\Desktop\\\\FA Project\\\\FA-Project\\\\data\\\\raw\\\\crsp_v2_2014_2024.csv\")\n",
+    "OUTPUT_DIR = Path(\"data/processed\")\n",
+    "OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "# Set SAMPLE_N = None to use full data.\n",
+    "SAMPLE_N = 200000\n",
+    "RANDOM_SEED = 42\n",
+    "\n",
+    "core_columns = [\n",
+    "    \"permno\", \"permco\", \"ticker\", \"cusip\", \"issuernm\", \"siccd\", \"naics\",\n",
+    "    \"dlycaldt\", \"dlyclose\", \"dlyopen\", \"dlyhigh\", \"dlylow\", \"dlyprc\",\n",
+    "    \"dlyret\", \"dlyretx\", \"dlyvol\", \"shrout\", \"dlycap\", \"dlycumfacpr\",\n",
+    "    \"dlycumfacshr\", \"sprtrn\", \"vwretd\", \"ewretd\", \"securitytype\",\n",
+    "    \"sharetype\", \"usincflg\", \"shradrflg\"\n",
+    "]\n",
+    "\n",
+    "numeric_candidates = [\n",
+    "    \"dlyclose\", \"dlyopen\", \"dlyhigh\", \"dlylow\", \"dlyprc\", \"dlyret\", \"dlyretx\",\n",
+    "    \"dlyvol\", \"shrout\", \"dlycap\", \"dlycumfacpr\", \"dlycumfacshr\", \"sprtrn\",\n",
+    "    \"vwretd\", \"ewretd\"\n",
+    "]\n",
+    "\n",
+    "categorical_candidates = [\"securitytype\", \"sharetype\", \"usincflg\", \"shradrflg\", \"ticker\"]\n",
+    "\n",
+    "print(f\"Data path: {DATA_PATH.resolve()}\")\n",
+    "print(f\"Output path: {OUTPUT_DIR.resolve()}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "871f85d3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Rows: 495,987\n",
+      "Columns: 27\n",
+      "Available core columns: 27\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>permno</th>\n",
+       "      <th>permco</th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>cusip</th>\n",
+       "      <th>issuernm</th>\n",
+       "      <th>siccd</th>\n",
+       "      <th>naics</th>\n",
+       "      <th>dlycaldt</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>dlyopen</th>\n",
+       "      <th>dlyhigh</th>\n",
+       "      <th>dlylow</th>\n",
+       "      <th>dlyprc</th>\n",
+       "      <th>dlyret</th>\n",
+       "      <th>dlyretx</th>\n",
+       "      <th>dlyvol</th>\n",
+       "      <th>shrout</th>\n",
+       "      <th>dlycap</th>\n",
+       "      <th>dlycumfacpr</th>\n",
+       "      <th>dlycumfacshr</th>\n",
+       "      <th>sprtrn</th>\n",
+       "      <th>vwretd</th>\n",
+       "      <th>ewretd</th>\n",
+       "      <th>securitytype</th>\n",
+       "      <th>sharetype</th>\n",
+       "      <th>usincflg</th>\n",
+       "      <th>shradrflg</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10104</td>\n",
+       "      <td>8045</td>\n",
+       "      <td>ORCL</td>\n",
+       "      <td>68389X10</td>\n",
+       "      <td>ORACLE CORP</td>\n",
+       "      <td>7372</td>\n",
+       "      <td>511210</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>37.84</td>\n",
+       "      <td>37.78</td>\n",
+       "      <td>38.03</td>\n",
+       "      <td>37.550</td>\n",
+       "      <td>37.84</td>\n",
+       "      <td>-0.010978</td>\n",
+       "      <td>-0.010978</td>\n",
+       "      <td>18163700.0</td>\n",
+       "      <td>4497409</td>\n",
+       "      <td>1.701820e+08</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-0.008862</td>\n",
+       "      <td>-0.008757</td>\n",
+       "      <td>-0.004051</td>\n",
+       "      <td>EQTY</td>\n",
+       "      <td>NS</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>10104</td>\n",
+       "      <td>8045</td>\n",
+       "      <td>ORCL</td>\n",
+       "      <td>68389X10</td>\n",
+       "      <td>ORACLE CORP</td>\n",
+       "      <td>7372</td>\n",
+       "      <td>511210</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>37.62</td>\n",
+       "      <td>37.65</td>\n",
+       "      <td>37.86</td>\n",
+       "      <td>37.560</td>\n",
+       "      <td>37.62</td>\n",
+       "      <td>-0.002643</td>\n",
+       "      <td>-0.005814</td>\n",
+       "      <td>11693900.0</td>\n",
+       "      <td>4497409</td>\n",
+       "      <td>1.691925e+08</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-0.000333</td>\n",
+       "      <td>0.000491</td>\n",
+       "      <td>0.004096</td>\n",
+       "      <td>EQTY</td>\n",
+       "      <td>NS</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>10104</td>\n",
+       "      <td>8045</td>\n",
+       "      <td>ORCL</td>\n",
+       "      <td>68389X10</td>\n",
+       "      <td>ORACLE CORP</td>\n",
+       "      <td>7372</td>\n",
+       "      <td>511210</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>37.47</td>\n",
+       "      <td>37.64</td>\n",
+       "      <td>37.80</td>\n",
+       "      <td>37.415</td>\n",
+       "      <td>37.47</td>\n",
+       "      <td>-0.003987</td>\n",
+       "      <td>-0.003987</td>\n",
+       "      <td>15330000.0</td>\n",
+       "      <td>4497409</td>\n",
+       "      <td>1.685179e+08</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-0.002512</td>\n",
+       "      <td>-0.003340</td>\n",
+       "      <td>-0.001676</td>\n",
+       "      <td>EQTY</td>\n",
+       "      <td>NS</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>10104</td>\n",
+       "      <td>8045</td>\n",
+       "      <td>ORCL</td>\n",
+       "      <td>68389X10</td>\n",
+       "      <td>ORACLE CORP</td>\n",
+       "      <td>7372</td>\n",
+       "      <td>511210</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>37.85</td>\n",
+       "      <td>37.66</td>\n",
+       "      <td>37.93</td>\n",
+       "      <td>37.500</td>\n",
+       "      <td>37.85</td>\n",
+       "      <td>0.010141</td>\n",
+       "      <td>0.010141</td>\n",
+       "      <td>16793300.0</td>\n",
+       "      <td>4497409</td>\n",
+       "      <td>1.702269e+08</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.006082</td>\n",
+       "      <td>0.006090</td>\n",
+       "      <td>0.006892</td>\n",
+       "      <td>EQTY</td>\n",
+       "      <td>NS</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>10104</td>\n",
+       "      <td>8045</td>\n",
+       "      <td>ORCL</td>\n",
+       "      <td>68389X10</td>\n",
+       "      <td>ORACLE CORP</td>\n",
+       "      <td>7372</td>\n",
+       "      <td>511210</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "      <td>37.72</td>\n",
+       "      <td>37.79</td>\n",
+       "      <td>37.91</td>\n",
+       "      <td>37.560</td>\n",
+       "      <td>37.72</td>\n",
+       "      <td>-0.003435</td>\n",
+       "      <td>-0.003435</td>\n",
+       "      <td>16111600.0</td>\n",
+       "      <td>4497409</td>\n",
+       "      <td>1.696423e+08</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-0.000212</td>\n",
+       "      <td>0.000155</td>\n",
+       "      <td>0.000835</td>\n",
+       "      <td>EQTY</td>\n",
+       "      <td>NS</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   permno  permco ticker     cusip     issuernm  siccd   naics   dlycaldt  dlyclose  dlyopen  dlyhigh  dlylow  dlyprc    dlyret   dlyretx      dlyvol   shrout        dlycap  dlycumfacpr  \\\n",
+       "0   10104    8045   ORCL  68389X10  ORACLE CORP   7372  511210 2014-01-02     37.84    37.78    38.03  37.550   37.84 -0.010978 -0.010978  18163700.0  4497409  1.701820e+08          1.0   \n",
+       "1   10104    8045   ORCL  68389X10  ORACLE CORP   7372  511210 2014-01-03     37.62    37.65    37.86  37.560   37.62 -0.002643 -0.005814  11693900.0  4497409  1.691925e+08          1.0   \n",
+       "2   10104    8045   ORCL  68389X10  ORACLE CORP   7372  511210 2014-01-06     37.47    37.64    37.80  37.415   37.47 -0.003987 -0.003987  15330000.0  4497409  1.685179e+08          1.0   \n",
+       "3   10104    8045   ORCL  68389X10  ORACLE CORP   7372  511210 2014-01-07     37.85    37.66    37.93  37.500   37.85  0.010141  0.010141  16793300.0  4497409  1.702269e+08          1.0   \n",
+       "4   10104    8045   ORCL  68389X10  ORACLE CORP   7372  511210 2014-01-08     37.72    37.79    37.91  37.560   37.72 -0.003435 -0.003435  16111600.0  4497409  1.696423e+08          1.0   \n",
+       "\n",
+       "   dlycumfacshr    sprtrn    vwretd    ewretd securitytype sharetype usincflg shradrflg  \n",
+       "0           1.0 -0.008862 -0.008757 -0.004051         EQTY        NS        Y         N  \n",
+       "1           1.0 -0.000333  0.000491  0.004096         EQTY        NS        Y         N  \n",
+       "2           1.0 -0.002512 -0.003340 -0.001676         EQTY        NS        Y         N  \n",
+       "3           1.0  0.006082  0.006090  0.006892         EQTY        NS        Y         N  \n",
+       "4           1.0 -0.000212  0.000155  0.000835         EQTY        NS        Y         N  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Load data\n",
+    "if not DATA_PATH.exists():\n",
+    "    raise FileNotFoundError(f\"Dataset not found: {DATA_PATH}\")\n",
+    "\n",
+    "df = pd.read_csv(DATA_PATH, low_memory=False)\n",
+    "\n",
+    "available_core_cols = [c for c in core_columns if c in df.columns]\n",
+    "missing_core_cols = [c for c in core_columns if c not in df.columns]\n",
+    "\n",
+    "if \"dlycaldt\" in df.columns:\n",
+    "    df[\"dlycaldt\"] = pd.to_datetime(df[\"dlycaldt\"], errors=\"coerce\")\n",
+    "\n",
+    "for col in [c for c in numeric_candidates if c in df.columns]:\n",
+    "    df[col] = pd.to_numeric(df[col], errors=\"coerce\")\n",
+    "\n",
+    "# if SAMPLE_N is not None and SAMPLE_N < len(df):\n",
+    "#     df = df.sample(n=SAMPLE_N, random_state=RANDOM_SEED).sort_index().reset_index(drop=True)\n",
+    "\n",
+    "print(f\"Rows: {len(df):,}\")\n",
+    "print(f\"Columns: {df.shape[1]}\")\n",
+    "print(f\"Available core columns: {len(available_core_cols)}\")\n",
+    "if missing_core_cols:\n",
+    "    print(\"Missing expected core columns:\", missing_core_cols)\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "eb9fc4d9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>column</th>\n",
+       "      <th>dtype</th>\n",
+       "      <th>missing_count</th>\n",
+       "      <th>missing_pct</th>\n",
+       "      <th>n_unique</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>dlyclose</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>277</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>63745</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>dlyopen</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>277</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>64679</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>dlylow</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>277</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>102406</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>dlyhigh</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>277</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>102668</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>securitytype</td>\n",
+       "      <td>object</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>sharetype</td>\n",
+       "      <td>object</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>usincflg</td>\n",
+       "      <td>object</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>shradrflg</td>\n",
+       "      <td>object</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>dlycumfacshr</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>dlycumfacpr</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>siccd</td>\n",
+       "      <td>int64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>156</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ticker</td>\n",
+       "      <td>object</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>185</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>permco</td>\n",
+       "      <td>int64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>186</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>permno</td>\n",
+       "      <td>int64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>188</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>cusip</td>\n",
+       "      <td>object</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>198</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>naics</td>\n",
+       "      <td>int64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>201</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>issuernm</td>\n",
+       "      <td>object</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>204</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>sprtrn</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2640</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>vwretd</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2643</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>ewretd</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2644</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>dlycaldt</td>\n",
+       "      <td>datetime64[ns]</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2768</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>shrout</td>\n",
+       "      <td>int64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>11203</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>dlyprc</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>63856</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>dlyret</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>84346</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>dlyretx</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>84401</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>dlycap</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>477976</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>dlyvol</td>\n",
+       "      <td>float64</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>479794</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          column           dtype  missing_count  missing_pct  n_unique\n",
+       "8       dlyclose         float64            277         0.06     63745\n",
+       "9        dlyopen         float64            277         0.06     64679\n",
+       "11        dlylow         float64            277         0.06    102406\n",
+       "10       dlyhigh         float64            277         0.06    102668\n",
+       "23  securitytype          object              0         0.00         1\n",
+       "24     sharetype          object              0         0.00         1\n",
+       "25      usincflg          object              0         0.00         1\n",
+       "26     shradrflg          object              0         0.00         1\n",
+       "19  dlycumfacshr         float64              0         0.00        16\n",
+       "18   dlycumfacpr         float64              0         0.00        44\n",
+       "5          siccd           int64              0         0.00       156\n",
+       "2         ticker          object              0         0.00       185\n",
+       "1         permco           int64              0         0.00       186\n",
+       "0         permno           int64              0         0.00       188\n",
+       "3          cusip          object              0         0.00       198\n",
+       "6          naics           int64              0         0.00       201\n",
+       "4       issuernm          object              0         0.00       204\n",
+       "20        sprtrn         float64              0         0.00      2640\n",
+       "21        vwretd         float64              0         0.00      2643\n",
+       "22        ewretd         float64              0         0.00      2644\n",
+       "7       dlycaldt  datetime64[ns]              0         0.00      2768\n",
+       "16        shrout           int64              0         0.00     11203\n",
+       "12        dlyprc         float64              1         0.00     63856\n",
+       "13        dlyret         float64              3         0.00     84346\n",
+       "14       dlyretx         float64              3         0.00     84401\n",
+       "17        dlycap         float64              1         0.00    477976\n",
+       "15        dlyvol         float64              1         0.00    479794"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Full-row duplicates: 16\n",
+      "permno+dlycaldt duplicates: 16\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Overview and quality diagnostics\n",
+    "schema_df = pd.DataFrame({\n",
+    "    \"column\": df.columns,\n",
+    "    \"dtype\": [str(t) for t in df.dtypes],\n",
+    "    \"missing_count\": df.isna().sum().values,\n",
+    "    \"missing_pct\": (df.isna().mean() * 100).round(2).values,\n",
+    "    \"n_unique\": [df[c].nunique(dropna=True) for c in df.columns]\n",
+    "}).sort_values([\"missing_pct\", \"n_unique\"], ascending=[False, True])\n",
+    "\n",
+    "display(schema_df.head(30))\n",
+    "\n",
+    "full_dup_count = int(df.duplicated().sum())\n",
+    "if {\"permno\", \"dlycaldt\"}.issubset(df.columns):\n",
+    "    key_dup_count = int(df.duplicated(subset=[\"permno\", \"dlycaldt\"]).sum())\n",
+    "else:\n",
+    "    key_dup_count = np.nan\n",
+    "\n",
+    "print(f\"Full-row duplicates: {full_dup_count:,}\")\n",
+    "print(f\"permno+dlycaldt duplicates: {key_dup_count}\")\n",
+    "\n",
+    "schema_df.to_csv(OUTPUT_DIR / \"schema_missingness_summary.csv\", index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "2469e86f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>securitytype</th>\n",
+       "      <th>count</th>\n",
+       "      <th>pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>EQTY</td>\n",
+       "      <td>495987</td>\n",
+       "      <td>100.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  securitytype   count    pct\n",
+       "0         EQTY  495987  100.0"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sharetype</th>\n",
+       "      <th>count</th>\n",
+       "      <th>pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NS</td>\n",
+       "      <td>495987</td>\n",
+       "      <td>100.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  sharetype   count    pct\n",
+       "0        NS  495987  100.0"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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K0rhx41SrVi1t2bJFp06dUp8+fSSdf7RYVlaWmjdvftHtzqGhoVq9erXq1aun4OBgHTlyRGvWrFHXrl1Vt25du0dxXUyHDh3k4uKiefPmadSoUSopKdHGjRv18ccfS9LvzuHn56f77rtPzzzzjA4ePKjAwEBlZ2crNjZWTZs2VcuWLW2/t2PHjumTTz5R+/btbVu/Bw4cqEWLFskwjErXjUtSUVGRxo4dqwkTJujMmTOKjY2Vn5+f/vrXv0qSJk6cqMGDB2v8+PEaMmSI3NzclJSUpG3btik+Pv4P3zsA4MojYAMAbkjdu3fXmjVrFB8fr0cffVSurq7q0qWLXnjhBbVt29au71NPPaW33npLy5cvV+vWrRUfH6+77rrronM3atRIr732mubNm6cnn3xSrq6u6tq1q+bNm6ebb75ZAwYM0C+//KLk5GS99tpratiwoXr16qUHHnhAzzzzjLKystSmTRsNHTpU3333ncaOHas5c+aoX79+Wr9+vRYsWKB58+bp1KlTatKkiaZOnapRo0bZXj82NlZz587VggULZLVa1bt3bw0ZMkSbNm2y9Zk0aZLq1aunV199VW+88YZuvvlm3X333XrkkUcqXcP8e5ycnLRixQrFxcVp+fLlys/PV8OGDTVixAhFRUVJOn9t8apVqxQXF6eYmBgVFRWpbdu2WrRokcLCwiSdX6198MEHNWfOnIsG/Icffliurq5KTk7WkiVLVLt2bYWHh2vq1KmXXG+LFi20YMECLV68WBMmTNBNN92kTp066ZVXXtGwYcOUnp5e6XnhvzZnzhwtX75ciYmJys3Nlbe3t+6991498sgjthvmDRw4UJ988omioqI0efJk2xb4hg0bql27dqpTp84Fb+7WpUsXhYWFKSYmRpIUHh6u6Ohoubq6SpLatWun9evXKzY2VtHR0TIMQ35+flqyZIl69+59yZ8BAODKsRi/txcKAIAbWGpqqh588EG9/PLL6tatm6PLuSQHDx7Url271Lt3b9uzrCVp8uTJOnDggN566y0HVndjO3LkiMLDw/XSSy9V+oKm4pnqr7zyiiNKAwCYhBVsAACuI05OTpo2bZp69+6t+++/X87Ozvr000/13//+V3PmzHF0eTekvXv3avv27frggw/UtGlTu0eoAQCuLwRsAACuI40aNdLKlSu1ZMkSPfLII7JarfL19dX8+fNt1/KiehUXF2vNmjVq2LChFi5caPfsdQDA9YUt4gAAAAAAmIDHdAEAAAAAYAICNgAAAAAAJiBgAwAAAABgAm5y5iBff/21DMNQjRo1HF0KAAAAAOAiSktLZbFYFBwc/Id9CdgOYhiGuL8cAAAAAFzdLie3EbAdpGLlOigoyMGVAAAAAAAuZvfu3Zfcl2uwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABM4PGAfPHhQ/v7+lf698cYbkqS9e/cqMjJSnTp10u23366EhAS78eXl5YqPj1fPnj3VsWNHjRo1Sjk5OXZ9qmMOAAAAAMCNzeEB+//9v/8nNzc3ffbZZ9qxY4ftX79+/VRQUKCRI0eqZcuWSk5O1qRJkxQXF6fk5GTb+KVLlyoxMVEzZ85UUlKSLBaLxo4dq5KSEkmqtjkAAAAAADc2hz+ma9++fWrVqpUaNGhQ6dy6devk6uqqGTNmyMXFRb6+vsrJydHKlSs1aNAglZSUaPXq1Xr88cfVq1cvSVJsbKx69uyprVu3qm/fvtqwYcMVnwMAAAAAgKtiBbtNmzYXPJeenq7Q0FC5uPzve4CwsDBlZ2crPz9fmZmZOnPmjMLCwmznvby8FBAQoLS0tGqbAwAAAAAAhwfsffv2KT8/Xw888IBuvfVWDRkyRJ999pkkKTc3Vz4+Pnb9K1a6Dx06pNzcXElSo0aNKvU5fPhwtc0BAAAAAIBDt4iXlJTop59+koeHh6Kjo1WzZk298847Gjt2rNasWaNz587J1dXVboybm5skqbi4WEVFRZJ0wT4nT56UpGqZo6oMw9DZs2erPB4AAAAAcGUZhiGLxXJJfR0asF1dXZWWliYXFxdbgA0MDNSPP/6ohIQEubu72240VqEi0NasWVPu7u6Szgf1ip8r+nh4eEhStcxRVaWlpdq7d2+VxwMAAAAArrzfLrhejMNvcnahgOrn56cdO3bIx8dHeXl5ducqjhs2bCir1Wpra968uV2fdu3aSVK1zFFVNWrUuOj15/jzLvVbJgAAAOB6YBiGo0u4LmVlZV1yX4cG7MzMTA0ZMkQrV65Uly5dbO3fffed2rRpo/bt2ysxMVFlZWVydnaWJKWkpKhVq1by9vZW7dq15enpqdTUVFs4Liws1J49exQZGSlJCg0NveJzVJXFYvlTK+D4fWXl5XJ2cvhtBgAAAIArjv/7XjmXs3Dn0IDt5+entm3b6rnnntP06dNVp04dbdiwQbt27dKbb76pevXqadWqVYqJidGYMWP07bffat26dXruuecknV+mj4yM1Pz581W3bl01adJE8+bNk4+PjyIiIiRJgwYNuuJz4Ork7OSk6Vs26afj3OkdAAAA16+Wdb313D39HV0GJFkMB+8jOH78uObPn69PP/1UhYWFCggI0GOPPWZb0f722281a9Ys7dmzR/Xr19eoUaNsK8uSVFZWppdeekkbN27UuXPnFBoaqmeffVZNmza19amOOS7X7t27JUlBQUFVngN/bPj6BO07muvoMgAAAIArxq++j9YNHe3oMq5bl5PdHB6wb1QE7OpBwAYAAMD1joB9ZV1OdmOTPgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJriqAnZ2draCg4O1ceNGW9vevXsVGRmpTp066fbbb1dCQoLdmPLycsXHx6tnz57q2LGjRo0apZycHLs+1TEHAAAAAODGdtUE7NLSUj322GM6e/asra2goEAjR45Uy5YtlZycrEmTJikuLk7Jycm2PkuXLlViYqJmzpyppKQkWSwWjR07ViUlJdU6BwAAAADgxubi6AIqLFq0SLVq1bJr27Bhg1xdXTVjxgy5uLjI19dXOTk5WrlypQYNGqSSkhKtXr1ajz/+uHr16iVJio2NVc+ePbV161b17du3WuYAAAAAAOCqWMFOS0tTUlKSXnjhBbv29PR0hYaGysXlf98DhIWFKTs7W/n5+crMzNSZM2cUFhZmO+/l5aWAgAClpaVV2xwAAAAAADh8BbuwsFDR0dF6+umn1ahRI7tzubm58vPzs2tr0KCBJOnQoUPKzc2VpErjGjRooMOHD1fbHN7e3pfxjv/HMAy7LfEwj8VikYeHh6PLAAAAAKpNUVGRDMNwdBnXHcMwZLFYLqmvwwP2jBkz1KlTJ/Xr16/SuXPnzsnV1dWuzc3NTZJUXFysoqIiSbpgn5MnT1bbHFVVWlqqvXv3Vnk8Ls7Dw0MBAQGOLgMAAACoNtnZ2bZ8A3P9Ng9ejEMD9qZNm5Senq533333gufd3d1tNxqrUBFoa9asKXd3d0lSSUmJ7eeKPhWrl9UxR1XVqFFDbdq0qfJ4XNylfsMEAAAAXC9atWrFCvYVkJWVdcl9HRqwk5OTlZ+fr9tvv92uffr06UpISFDjxo2Vl5dnd67iuGHDhrJarba25s2b2/Vp166dJMnHx+eKz1FVFovlTwV0AAAAAKjAJZJXxuUs3jk0YM+fP1/nzp2za+vTp48mT56se++9V++9954SExNVVlYmZ2dnSVJKSopatWolb29v1a5dW56enkpNTbWF48LCQu3Zs0eRkZGSpNDQ0Cs+BwAAAAAADr2LeMOGDdWiRQu7f5Lk7e2tJk2aaNCgQTp9+rRiYmKUlZWljRs3at26dRo/fryk8/vgIyMjNX/+fG3fvl2ZmZmaMmWKfHx8FBERIUnVMgcAAAAAAA6/ydnv8fb21qpVqzRr1iwNGDBA9evXV3R0tAYMGGDrM3nyZFmtVj399NM6d+6cQkNDlZCQYLsIvbrmAAAAAADc2CwGV8E7xO7duyVJQUFBDq7k+jZ8fYL2Hc11dBkAAADAFeNX30frho52dBnXrcvJbg7dIg4AAAAAwPWCgA0AAAAAgAkI2AAAAAAAmICADQAAAACACQjYAAAAAACYgIANAAAAAIAJCNgAAAAAAJiAgA0AAAAAgAkI2AAAAAAAmICADQAAAACACQjYAAAAAACYgIANAAAAAIAJCNgAAAAAAJiAgA0AAAAAgAkI2AAAAAAAmICADQAAAACACQjYAAAAAACYgIANAAAAAIAJCNgAAAAAAJiAgA0AAAAAgAkI2AAAAAAAmICADQAAAACACQjYAAAAAACYgIANAAAAAIAJCNgAAAAAAJiAgA0AAAAAgAkI2AAAAAAAmICADQAAAACACQjYAAAAAACYgIANAAAAAIAJCNgAAAAAAJiAgA0AAAAAgAkI2AAAAAAAmICADQAAAACACQjYAAAAAACYgIANAAAAAIAJCNgAAAAAAJiAgA0AAAAAgAkI2AAAAAAAmICADQAAAACACQjYAAAAAACYgIANAAAAAIAJCNgAAAAAAJjA4QE7Pz9fjz/+uMLCwhQcHKxx48YpKyvLdn7v3r2KjIxUp06ddPvttyshIcFufHl5ueLj49WzZ0917NhRo0aNUk5Ojl2f6pgDAAAAAHBjc3jAnjBhgg4cOKCVK1fqzTfflLu7u0aMGKGioiIVFBRo5MiRatmypZKTkzVp0iTFxcUpOTnZNn7p0qVKTEzUzJkzlZSUJIvForFjx6qkpESSqm0OAAAAAMCNzcWRL15QUKCmTZtqwoQJatu2rSRp4sSJ+tvf/qYffvhBKSkpcnV11YwZM+Ti4iJfX1/l5ORo5cqVGjRokEpKSrR69Wo9/vjj6tWrlyQpNjZWPXv21NatW9W3b19t2LDhis8BAAAAAIBDV7Dr1Kmjl156yRaujx07poSEBPn4+KhNmzZKT09XaGioXFz+9z1AWFiYsrOzlZ+fr8zMTJ05c0ZhYWG2815eXgoICFBaWpokVcscAAAAAAA4dAX715555hnbSvGyZctUs2ZN5ebmys/Pz65fgwYNJEmHDh1Sbm6uJKlRo0aV+hw+fFiSqmUOb2/vKr1nwzB09uzZKo3F77NYLPLw8HB0GQAAAEC1KSoqkmEYji7jumMYhiwWyyX1vWoC9vDhw/WPf/xDr7/+uqKiovTaa6/p3LlzcnV1tevn5uYmSSouLlZRUZEkXbDPyZMnJala5qiq0tJS7d27t8rjcXEeHh4KCAhwdBkAAABAtcnOzrblG5jrt3nwYq6agN2mTRtJ0vPPP69du3bp1Vdflbu7u+1GYxUqAm3NmjXl7u4uSSopKbH9XNGnYvWyOuaoqho1atjeN8x1qd8wAQAAANeLVq1asYJ9Bfz6KVd/xKEBOz8/XykpKbrnnnvk7OwsSXJycpKvr6/y8vLk4+OjvLw8uzEVxw0bNpTVarW1NW/e3K5Pu3btJKla5qgqi8XypwI6AAAAAFTgEskr43IW76p0k7NNmzapoKDggueOHj2qlStXXtI8eXl5mjp1qr788ktbW2lpqfbs2SNfX1+FhoYqIyNDZWVltvMpKSlq1aqVvL291a5dO3l6eio1NdV2vrCwUHv27FGXLl0kqVrmAAAAAACgSgH7ySef1IEDBy54bu/evYqPj7+kedq1a6fbbrtNzz33nNLT07Vv3z498cQTKiws1IgRIzRo0CCdPn1aMTExysrK0saNG7Vu3TqNHz9e0vl98JGRkZo/f762b9+uzMxMTZkyRT4+PoqIiJCkapkDAAAAAIBL3iI+fvx4295zwzAUFRV1wQu98/Pz7bZa/x6LxaKFCxdqwYIFeuSRR3Tq1Cl16dJF69evV+PGjSVJq1at0qxZszRgwADVr19f0dHRGjBggG2OyZMny2q16umnn9a5c+cUGhqqhIQEW23e3t7VMgcAAAAA4MZmMS7xKvivvvpKb7zxhiTprbfeUq9evVS3bl27Pk5OTvLy8tLAgQNtz7bGhe3evVuSFBQU5OBKrm/D1ydo39FcR5cBAAAAXDF+9X20buhoR5dx3bqc7HbJK9ghISEKCQmxHU+cOFHNmjWrQnkAAAAAAFx/qnQX8Tlz5phdBwAAAAAA17QqBezjx49r1qxZ+vjjj1VUVFTpWWsWi0V79uwxpUAAAAAAAK4FVQrYM2bM0CeffKK+ffvKx8dHTk5Vuhk5AAAAAADXjSoF7M8++0xPPfWU/vGPf5hdDwAAAAAA16QqLT27urpygzMAAAAAAH6lSgE7IiJC//nPf8yuBQAAAACAa1aVtogHBARo4cKFOnDggDp27Ch3d3e78xaLRVFRUaYUCAAAAADAtaBKAftf//qXJCktLU1paWmVzhOwAQAAAAA3mioF7MzMTLPrAAAAAADgmsbztQAAAAAAMEGVVrCffPLJP+wzZ86cqkwNAAAAAMA1qUoBOzU1tVLb2bNndeLECd18880KCgr604UBAAAAAHAtqVLA/vDDDy/Yvn//fk2aNEn9+/f/MzUBAAAAAHDNMfUa7NatWysqKkqLFy82c1oAAAAAAK56pt/kzNPTUwcPHjR7WgAAAAAArmpV2iJ+6NChSm1lZWXKzc3VwoUL5evr+6cLAwAAAADgWlKlgB0eHi6LxVKp3TAMeXh4aNGiRX+6MAAAAAAAriVVCtizZ8+uFLAtFos8PT0VFhYmT09PU4oDAAAAAOBaUaWAPXDgQLPrAAAAAADgmlalgC1Jx48f15o1a5SamqrCwkLVqVNHXbp00YgRI+Tt7W1mjQAAAAAAXPWqdBfx3NxcDRgwQGvXrpWbm5sCAgLk4uKiNWvWqH///jpy5IjZdQIAAAAAcFWr0gr2vHnz5OLios2bN6tZs2a29gMHDmjUqFGKjY3V3LlzTSsSAAAAAICrXZVWsHfs2KHJkyfbhWtJatasmaKiovTpp5+aUhwAAAAAANeKKgXssrIy1alT54Ln6tatq9OnT/+pogAAAAAAuNZUKWD7+/vr7bffvuC5TZs2yc/P708VBQAAAADAtaZK12BPnDhRo0eP1okTJ9SvXz/Vq1dPx44d07vvvqudO3cqPj7e7DoBAAAAALiqVSlg9+jRQy+++KJefPFFff7557b2+vXra86cOYqIiDCtQAAAAAAArgVVfg72wYMH5e/vr3Xr1unkyZPKzMxUXFycTpw4YWJ5AAAAAABcG6oUsFetWqXFixfrwQcflK+vrySpcePG+vnnn7VgwQJ5eHjoH//4h6mFAgAAAABwNatSwN6wYYOmTJmiMWPG2Np8fHw0bdo01a1bVy+//DIBGwAAAABwQ6nSXcSPHDmiDh06XPBcUFCQfvnllz9VFAAAAAAA15oqBexmzZpp586dFzyXmpoqHx+fP1UUAAAAAADXmiptER8yZIhmz54tq9WqO++8U97e3jp+/Li2bduml19+WY899pjZdQIAAAAAcFWrUsAeOnSocnNztWbNGq1du9bW7uzsrOHDh2vEiBEmlQcAAAAAwLWhyo/pmjp1qsaNG6ddu3bpxIkT8vLy0i233KI6deqYWR8AAAAAANeEKgdsSapdu7Z69uxpVi0AAAAAAFyzqnSTMwAAAAAAYI+ADQAAAACACQjYAAAAAACYgIANAAAAAIAJCNgAAAAAAJjA4QH7xIkTevbZZ/WXv/xFISEhGjJkiNLT023n9+7dq8jISHXq1Em33367EhIS7MaXl5crPj5ePXv2VMeOHTVq1Cjl5OTY9amOOQAAAAAANzaHB+xHH31U33zzjV566SW9+eab6tChg0aPHq0ff/xRBQUFGjlypFq2bKnk5GRNmjRJcXFxSk5Oto1funSpEhMTNXPmTCUlJclisWjs2LEqKSmRpGqbAwAAAABwY/tTz8H+s3JycvT555/r9ddfV0hIiCQpJiZGn376qf7zn//I3d1drq6umjFjhlxcXOTr66ucnBytXLlSgwYNUklJiVavXq3HH39cvXr1kiTFxsaqZ8+e2rp1q/r27asNGzZc8TkAAAAAAHDoCnadOnW0YsUKBQYG2tosFosMw9DJkyeVnp6u0NBQubj873uAsLAwZWdnKz8/X5mZmTpz5ozCwsJs5728vBQQEKC0tDRJqpY5AAAAAABwaMD28vJSr1695OrqamvbsmWLfv75Z912223Kzc2Vj4+P3ZgGDRpIkg4dOqTc3FxJUqNGjSr1OXz4sCRVyxwAAAAAADh0i/hvZWRk6KmnnlLv3r0VHh6uOXPm2IVvSXJzc5MkFRcXq6ioSJIu2OfkyZOSpHPnzl3xOarKMAydPXu2yuNxcRaLRR4eHo4uAwAAAKg2RUVFMgzD0WVcdwzDkMViuaS+V03A3rZtmx577DF17NhRL730kiTJ3d3ddqOxChWBtmbNmnJ3d5cklZSU2H6u6FMRrqpjjqoqLS3V3r17qzweF+fh4aGAgABHlwEAAABUm+zsbNsCIsz12wXXi7kqAvarr76qWbNmKSIiQvPnz7cV7+Pjo7y8PLu+FccNGzaU1Wq1tTVv3tyuT7t27aptjqqqUaOG2rRpU+XxuLhL/YYJAAAAuF60atWKFewrICsr65L7Ojxgv/baa3r++ec1bNgwPfXUU3Jy+t9l4aGhoUpMTFRZWZmcnZ0lSSkpKWrVqpW8vb1Vu3ZteXp6KjU11RaOCwsLtWfPHkVGRlbbHFVlsVj+1Ao4AAAAAFTgEskr43IW7xx6k7Ps7GzNnj1bERERGj9+vPLz83X06FEdPXpUp06d0qBBg3T69GnFxMQoKytLGzdu1Lp16zR+/HhJ55fpIyMjNX/+fG3fvl2ZmZmaMmWKfHx8FBERIUnVMgcAAAAAAA5dwf7ggw9UWlqqrVu3auvWrXbnBgwYoLlz52rVqlWaNWuWBgwYoPr16ys6OloDBgyw9Zs8ebKsVquefvppnTt3TqGhoUpISLBtM/f29q6WOQAAAAAANzaLwSZ9h9i9e7ckKSgoyMGVXN+Gr0/QvqO5ji4DAAAAuGL86vto3dDRji7junU52c2hW8QBAAAAALheELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATXFUBe+nSpRo2bJhd2969exUZGalOnTrp9ttvV0JCgt358vJyxcfHq2fPnurYsaNGjRqlnJycap8DAAAAAHBju2oC9tq1axUfH2/XVlBQoJEjR6ply5ZKTk7WpEmTFBcXp+TkZFufpUuXKjExUTNnzlRSUpIsFovGjh2rkpKSap0DAAAAAHBjc3F0AUeOHFFMTIwyMjLUqlUru3MbNmyQq6urZsyYIRcXF/n6+ionJ0crV67UoEGDVFJSotWrV+vxxx9Xr169JEmxsbHq2bOntm7dqr59+1bLHAAAAAAAOHwF+/vvv9dNN92kd955Rx07drQ7l56ertDQULm4/O97gLCwMGVnZys/P1+ZmZk6c+aMwsLCbOe9vLwUEBCgtLS0apsDAAAAAACHr2CHh4crPDz8gudyc3Pl5+dn19agQQNJ0qFDh5SbmytJatSoUaU+hw8frrY5vL29L+GdAgAAAACuZw4P2L/n3LlzcnV1tWtzc3OTJBUXF6uoqEiSLtjn5MmT1TZHVRmGobNnz1Z5PC7OYrHIw8PD0WUAAAAA1aaoqEiGYTi6jOuOYRiyWCyX1PeqDtju7u62G41VqAi0NWvWlLu7uySppKTE9nNFn4pwVR1zVFVpaan27t1b5fG4OA8PDwUEBDi6DAAAAKDaZGdn2xYQYa7fLrhezFUdsH18fJSXl2fXVnHcsGFDWa1WW1vz5s3t+rRr167a5qiqGjVqqE2bNlUej4u71G+YAAAAgOtFq1atWMG+ArKysi6571UdsENDQ5WYmKiysjI5OztLklJSUtSqVSt5e3urdu3a8vT0VGpqqi0cFxYWas+ePYqMjKy2OarKYrH8qRVwAAAAAKjAJZJXxuUs3jn8LuK/Z9CgQTp9+rRiYmKUlZWljRs3at26dRo/fryk88v0kZGRmj9/vrZv367MzExNmTJFPj4+ioiIqLY5AAAAAAC4qlewvb29tWrVKs2aNUsDBgxQ/fr1FR0drQEDBtj6TJ48WVarVU8//bTOnTun0NBQJSQk2PbIV9ccAAAAAIAbm8Vgk75D7N69W5IUFBTk4Equb8PXJ2jf0VxHlwEAAABcMX71fbRu6GhHl3HdupzsdlVvEQcAAAAA4FpBwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwL4M5eXlio+PV8+ePdWxY0eNGjVKOTk5ji4LAAAAAHAVIGBfhqVLlyoxMVEzZ85UUlKSLBaLxo4dq5KSEkeXBgAAAABwMAL2JSopKdHq1as1adIk9erVS+3atVNsbKyOHDmirVu3Oro8AAAAAICDEbAvUWZmps6cOaOwsDBbm5eXlwICApSWlubAygAAAAAAVwMXRxdwrcjNzZUkNWrUyK69QYMGOnz48GXPV1paKsMw9O2335pSHyqzWCwa3TZQ1tbtHV0KAAAAcMW4ODtr9+7dMgzD0aVcl0pLS2WxWC6pLwH7EhUVFUmSXF1d7drd3Nx08uTJy56v4hd0qb8oVE0dj5qOLgEAAACoFmSLK8NisRCwzebu7i7p/LXYFT9LUnFxsTw8PC57vuDgYNNqAwAAAAA4HtdgX6KKreF5eXl27Xl5efLx8XFESQAAAACAqwgB+xK1a9dOnp6eSk1NtbUVFhZqz5496tKliwMrAwAAAABcDdgifolcXV0VGRmp+fPnq27dumrSpInmzZsnHx8fRUREOLo8AAAAAICDEbAvw+TJk2W1WvX000/r3LlzCg0NVUJCQqUbnwEAAAAAbjwWg3u5AwAAAADwp3ENNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAC4IMMwLvgzAAC4MAI2AAC4oLKyMpWXl8tqtcpisai8vNzRJQEAcFVzcXQBAADg6vPGG28oIyND+/fvl5ubmxYvXqybbrrJ0WUBAHBVI2ADAAA7L774ot577z0NHDhQklRaWqozZ84QsAEA+AMEbAAAYLN69Wq98847Wrp0qW655RZJUklJiVxdXWUYhsrLy+Xs7OzgKgEAuDoRsAEAgCTp1KlT+uqrrxQdHW0L15JUXFysN998U6mpqTp16pQGDx6sW2+9VZ6eng6sFgCAqw83OQMAAJLObwXftWuXTp06ZWt755139M9//lP/+te/9NVXX+nw4cOaMmWKPv30U0nixmcAAPwKK9gAANzg3n77bTVv3lzBwcHy9/fX559/LovFoh07diglJUW1atXS7Nmz1alTJ7Vu3VozZszQ2rVrdc8998hisTi6fAAArhoEbAAAbmA//vijVq1aJU9PT7344osaM2aMZsyYoU8++UT169fXPffco4cfflgNGza0jWnUqJEOHTpEuAYA4DcshmEYji4CAAA4zubNm/Xaa6/JYrFo7ty5qlu3rn788Uc1adJEtWrVkqurq8rLy2WxWGSxWBQTEyMPDw89+eSTcnJyImgDAPD/4xpsAABuUGVlZZKke++9V0OHDpXVatW0adP0448/KjAwUHXq1NHp06clSU5OTiouLlZsbKy2bdumIUOGyNnZmXANAMCvsIINAMANzGq1ysXl/BVj7733ntavXy9nZ2c98cQTatSokaZOnaoWLVqouLhYZ8+e1VdffaUVK1YoICDAwZUDAHD1IWADAHADWbdunZycnOTj46POnTvL1dXV7nFb27Zt06pVq1SjRg099thj2rdvn5KSklSjRg117txZ999/v1q2bOm4NwAAwFWMgA0AwA3iyJEj6tWrl+24YcOGcnFxUXBwsFq0aKEePXrI399fW7Zs0ZYtW1RSUqI5c+aoadOmks5vKXd2dnZU+QAAXPUI2AAA3EC+/fZbjRw5UgEBAWrfvr08PT21c+dOZWdn6+zZs3J2dlabNm20f/9+OTk5qUmTJnrxxRfl7+8vwzC45hoAgN9BwAYA4Abz1Vdf6bHHHlPfvn01duxYeXl56fTp09q/f7/27t2rgwcPaseOHTpx4oQKCgr0n//8R02aNHF02QAAXPUI2AAA3IDS09M1efJk9evXTw888IBatGhhd94wDFmtVhUWFsrb29tBVQIAcG0hYAMAcIPKyMjQww8/rL/+9a8aOnSomjVrJun8ncV5BBcAAJePgA0AwA0sPT1djzzyiP76178qMjLSdkMzAABw+QjYAADc4DIyMjR16lT95S9/0UMPPaTGjRs7uiQAAK5JTo4uAAAAOFbnzp31wgsv6Msvv5Srq6ujywEA4JrFCjYAAJAkFRUVycPDw9FlAABwzSJgAwAAAABgAraIAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAqBY8uAQAcL0jYAMAcB2bNm2awsPDHVpDSUmJ5syZo3fffdehdQAAcKURsAEAwBWVl5entWvXymq1OroUAACuKAI2AAAAAAAmIGADAHCN+/777zV8+HB17txZwcHBGjFihL755hu7Phs3btRdd92loKAg3Xffffr000/tzqelpWn06NEKDQ1VYGCgwsPDtWjRIpWXl0uSfvnlF/n7+2vNmjW655571LVrV23cuFGStG/fPo0fP14hISEKCQlRVFSUDhw4YBvXu3dvSdKTTz6p8PBwffzxx/L399eOHTvsati1a5f8/f315ZdfKjU11dZn6NChuuWWWxQREaFXX33Vbkx5eblWrFihiIgIBQYG6q677tIrr7xi3ocLAMBlIGADAHANO336tMaMGaM6deooPj5esbGxKioq0ujRo3Xq1ClJ0uHDh7VixQo9/PDDio+Pl2EYmjRpkvLz8yVJmZmZGjFihG6++WbFxsZq2bJlCgkJ0eLFi/Xee+/ZvV5sbKxGjx6tmTNnKiwsTNnZ2Ro8eLDy8/M1d+5czZo1SwcOHNCQIUOUn5+vBg0aaPHixZKkCRMmaPHixerZs6caNmyot99+227ut956S82aNVNoaKitbcqUKQoICNCSJUvUo0cPPf/883YBesaMGYqPj9d9992nf//737r77rs1e/ZsLVmy5Ip83gAA/B4XRxcAAACqLisrS8ePH9ewYcPUuXNnSVLr1q2VmJio06dPSzq/yrtkyRL5+vpKktzc3DRy5Ejt2rVLvXv3VmZmpm699VbNmzdPTk7nv3vv0aOHPv74Y6Wlpalfv3621+vTp4/uv/9+2/HUqVPl7u6utWvXytPTU5LUvXt33XnnnVq1apWeeOIJtW/fXpLUvHlzBQQESJL69++vV155RWfOnFGtWrVUUlKiLVu2aPjw4bJYLLb577zzTsXExEiSevbsqby8PC1btkxDhw5VTk6ONmzYoEcffVTjxo2TJN12222yWCxavny5HnjgAdWpU8f8Dx0AgItgBRsAgGtY27ZtVbduXU2YMEHTp0/Xhx9+qPr16ys6OlqNGjWSJNWpU8cWriWpWbNmkmRb4e7fv79Wrlyp0tJS/fDDD9q2bZsWLVqksrIylZaW2r2en5+f3fEXX3yhbt26yd3dXVarVVarVZ6enurSpYt27tx50boHDRqkoqIibd26VZK0bds2FRYWqn///nb9/va3v9kd9+nTR/n5+crOztYXX3whwzAUHh5ue22r1arw8HAVFxcrIyPjMj5JAAD+PFawAQC4htWqVUvr16/XsmXLtHnzZiUmJsrDw0P33XefbeW3Zs2admMqVogrrq8+d+6cnn/+eb399tuyWq1q2rSpgoOD5eLiUunZ1fXq1bM7PnHihDZv3qzNmzdXqq1u3boXrbtFixYKDQ3Vpk2b1L9/f23atElhYWFq0qSJXb8GDRrYHXt7e0uSCgsLdeLECUlS3759L/gaR44cuejrAwBwJRCwAQC4xrVu3Vrz5s1TWVmZvv32W7399tt6/fXX1bRp00saP2vWLH3wwQdauHChbr31Vlsg7969+x+OrV27tm699VaNHDmy0jkXl9//b8agQYP05JNPKjs7W59//rnmzJlTqU9FiK5Qcd24t7e3vLy8JEnr1q1TrVq1Ko1t3LjxH9YPAICZ2CIOAMA17P3331dYWJiOHj0qZ2dnBQcHa8aMGfLy8lJubu4lzZGRkaFu3brpzjvvtIXr7777TsePH7etcl9M165dlZWVpfbt2ysoKEhBQUEKDAzU2rVrbdu/nZ2dLzj2rrvuUs2aNfXss8/K3d1dffr0qdTnww8/rPR+mzRpoubNm9tuhlZQUGB77aCgIJ04cUILFy6sFM4BALjSWMEGAOAaFhISovLyckVFRWncuHGqVauWtmzZolOnTqlPnz7atGnTH85xyy23aMuWLXr99dfl6+urzMxMLVu2TBaLRUVFRb87duLEiRo8eLDGjx+vIUOGyM3NTUlJSdq2bZvi4+MlnV/llqSUlBT5+vqqY8eOkiQPDw/17dtXSUlJ+vvf/y53d/dK869du1bu7u7q1KmT/vvf/+qjjz7SggULJJ2/Hvy+++7TM888o4MHDyowMFDZ2dmKjY1V06ZN1bJly8v4JAEA+PMI2AAAXMMaNGigVatWKS4uTjExMSoqKlLbtm21aNEihYWFXVLAnjZtmkpLS7Vw4UKVlJSoadOmmjBhgrKysvThhx+qrKzsomPbtWun9evXKzY2VtHR0TIMQ35+flqyZInt+deenp4aOXKkkpKS9PHHH+vzzz+Xq6urJOmOO+5QUlKSBg4ceMH5n3rqKb311ltavny5Wrdurfj4eN11112283PmzNHy5cuVmJio3NxceXt7695779Ujjzxy0ZVzAACuFIvx27uXAAAAVJMZM2YoIyND7777rl17amqqHnzwQb388svq1q2bg6oDAODysIINAACq3csvv6z9+/crKSnpgjc3AwDgWkTABgAA1S49PV2fffaZhg0bVunZ1wAAXKvYIg4AAAAAgAl4TBcAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJvj/ABS/hLaMWOhFAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>usincflg</th>\n",
+       "      <th>count</th>\n",
+       "      <th>pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Y</td>\n",
+       "      <td>495987</td>\n",
+       "      <td>100.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  usincflg   count    pct\n",
+       "0        Y  495987  100.0"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>shradrflg</th>\n",
+       "      <th>count</th>\n",
+       "      <th>pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>N</td>\n",
+       "      <td>495987</td>\n",
+       "      <td>100.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  shradrflg   count    pct\n",
+       "0         N  495987  100.0"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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G6tGjh/r376+//OUvSk1NlZ+fnyIjI/Xdd99p+PDhmjVrlvr06aP169dr3rx5mjNnjq5cuaLGjRtrwoQJGjJkiOX9Y2NjNXv2bM2bN09FRUXq1auXnnvuOW3dutUyZuzYsapfv77WrVun999/X3Xq1NHvf/97vfjii2WeYb4RBwcHLV++XHFxcVq2bJkyMzPVsGFDDRo0SGPGjJH08zPsK1euVFxcnGJiYpSXl6dWrVpp4cKFllnhw4cP6/nnn9esWbOuG/DHjx8vZ2dnJSQkaPHixapdu7bCwsI0YcKECvd7PSNHjlRWVpbeffddLV68WD4+PvrDH/4gk8mkZcuWKTs7W/fcc4+mTZtm+b5lZ2crNDRUo0aNstp13lZ9+vRRbm6u4uPjlZCQoFatWikmJkYxMTGqWbPmLdcHABjPZP71Lh8AAKBce/fu1fPPP693331X3bp1s3c7FXL69GkdOHBAvXr1snyWtSSNGzdOJ0+e1IcffmjH7nAj27ZtU2BgoFq2bGk59uWXX2rkyJH66KOP1Lp1azt2BwAoDzPYAABUYw4ODpoyZYp69eqlp59+Wo6Ojtq9e7f+8Y9/aNasWfZuDzfw8ccfKzY2Vi+++KJ8fHz0008/acGCBeratSvhGgCqKGawAQCooDtxBluSvvnmGy1evFgpKSkqKiqSr6+vBg8erMcff9zereEGsrKyNG/ePO3evVsXL15U/fr19cgjj2jcuHGqVauWvdsDAJSDgA0AAAAAgAHYghIAAAAAAAMQsAEAAAAAMACbnNnJf/7zH5nNZtWoUcPerQAAAAAArqOwsFAmk0lBQUG/OZaAbSdms1k8/g4AAAAAVdvN5DYCtp2Uzly3b9/ezp0AAAAAAK7n0KFDFR7LM9gAAAAAABiAgA0AAAAAgAEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYgIANAAAAAIAB7B6wT58+rYCAgDL/3n//fUlSSkqKoqKi1KlTJ/Xs2VPx8fFW15eUlGjBggUKDQ1Vx44dNWTIEKWlpVmNqYwaAAAAAIC7m90D9vfffy8XFxd99dVX+vrrry3/+vTpo6ysLA0ePFjNmzdXQkKCxo4dq7i4OCUkJFiuX7JkiTZu3KgZM2Zo06ZNMplMGj58uAoKCiSp0moAAAAAAO5uTvZu4NixY2rRooUaNGhQ5tzatWvl7Oys6dOny8nJSb6+vkpLS9OKFSvUr18/FRQUaNWqVZo0aZJ69OghSYqNjVVoaKh27NihiIgIbd68+bbXAAAAAADA7gH7+++/l5+fX7nnkpKSFBwcLCen/7UZEhKiZcuWKTMzU6dPn9bVq1cVEhJiOe/h4aHAwEDt379fERERlVLD09PTpns3m83Kzc216VoAAAAAwO1nNptlMpkqNNbuAfvYsWPy8vJS//799dNPP+nee+/V6NGjFRoaqvT0dPn7+1uNL53pPnPmjNLT0yVJPj4+ZcacPXtWkiqlhq0Bu7CwUCkpKTZdCwAAAACoHM7OzhUaZ9eAXVBQoJ9++klubm6aPHmyatasqY8//ljDhw/X6tWrlZ+fX+ZGXFxcJEnXrl1TXl6epLI36+LiouzsbEmqlBq2qlGjxnVn73HrKvpXJgAAAKA6MJvN9m6hWkpNTa3wWLsGbGdnZ+3fv19OTk6WANuuXTv9+OOPio+Pl6urq2WjsVKlgbZmzZpydXWV9HNQL/26dIybm5skVUoNW5lMplu6HjdWXFIiRwe77+MHAAAA3Hb8v+/tczMTd3ZfIl5ewPT399fXX38tb29vZWRkWJ0rfd2wYUMVFRVZjjVr1sxqTOvWrSWpUmqganJ0cNC0v2/VTxcz7d0KAAAAcNs0r+ep1x590t5tQHYO2EePHtVzzz2nFStWqEuXLpbj3333nfz8/NSmTRtt3LhRxcXFcnR0lCQlJiaqRYsW8vT0VO3ateXu7q69e/dawvHly5d15MgRRUVFSZKCg4Nvew1UXT9dzNSx8+n2bgMAAADAXcCuawj8/f3VqlUrvfbaa0pKStKPP/6oWbNm6cCBAxo1apT69eunnJwcxcTEKDU1VVu2bNHatWs1cuRIST8vMY+KitLcuXO1c+dOHT16VNHR0fL29lZ4eLgkVUoNAAAAAABMZjs/CX/x4kXNnTtXu3fv1uXLlxUYGKiJEydaZrQPHjyomTNn6siRI/Ly8tKQIUMsM8uSVFxcrPnz52vLli3Kz89XcHCwpk6dqiZNmljGVEaNm3Xo0CFJUvv27W2ugd82cH08M9gAAACo1vy9vLU2cqi926i2bia72T1g360I2JWDgA0AAIDqjoB9e91MdmObOQAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAFUqYJ84cUJBQUHasmWL5VhKSoqioqLUqVMn9ezZU/Hx8VbXlJSUaMGCBQoNDVXHjh01ZMgQpaWlWY2pjBoAAAAAgLtblQnYhYWFmjhxonJzcy3HsrKyNHjwYDVv3lwJCQkaO3as4uLilJCQYBmzZMkSbdy4UTNmzNCmTZtkMpk0fPhwFRQUVGoNAAAAAMDdzcneDZRauHChatWqZXVs8+bNcnZ21vTp0+Xk5CRfX1+lpaVpxYoV6tevnwoKCrRq1SpNmjRJPXr0kCTFxsYqNDRUO3bsUERERKXUAAAAAACgSgTs/fv3a9OmTdq6dat69uxpOZ6UlKTg4GA5Of2vzZCQEC1btkyZmZk6ffq0rl69qpCQEMt5Dw8PBQYGav/+/YqIiKiUGp6enjbdt9lstpqxh3FMJpPc3Nzs3QYAAABQafLy8mQ2m+3dRrVjNptlMpkqNNbuAfvy5cuaPHmyXn31Vfn4+FidS09Pl7+/v9WxBg0aSJLOnDmj9PR0SSpzXYMGDXT27NlKq2FrwC4sLFRKSopN1+LG3NzcFBgYaO82AAAAgEpz4sQJ5eXl2buNasnZ2blC4+wesKdPn65OnTqpT58+Zc7l5+eXuREXFxdJ0rVr1yy/POWNyc7OrrQatqpRo4b8/Pxsvh7XV9G/MAEAAADVRYsWLZjBvg1SU1MrPNauAXvr1q1KSkrSJ598Uu55V1dXy0ZjpUoDbc2aNeXq6ipJKigosHxdOqZ0eXBl1LCVyWS6pesBAAAAoBSPSN4eNzN5Z9eAnZCQoMzMTKvnriVp2rRpio+PV6NGjZSRkWF1rvR1w4YNVVRUZDnWrFkzqzGtW7eWJHl7e9/2GgAAAAAA2DVgz507V/n5+VbHevfurXHjxumxxx7T3/72N23cuFHFxcVydHSUJCUmJqpFixby9PRU7dq15e7urr1791rC8eXLl3XkyBFFRUVJkoKDg297DQAAAAAA7Po52A0bNtS9995r9U+SPD091bhxY/Xr1085OTmKiYlRamqqtmzZorVr12rkyJGSfn5uOioqSnPnztXOnTt19OhRRUdHy9vbW+Hh4ZJUKTUAAAAAALD7Jmc34unpqZUrV2rmzJnq27evvLy8NHnyZPXt29cyZty4cSoqKtKrr76q/Px8BQcHKz4+3rIpWWXVAAAAAADc3Uxmtpmzi0OHDkmS2rdvb+dOqreB6+N17Hy6vdsAAAAAbht/L2+tjRxq7zaqrZvJbnZdIg4AAAAAQHVBwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAB2D9iZmZmaNGmSQkJCFBQUpBEjRig1NdVyPiUlRVFRUerUqZN69uyp+Ph4q+tLSkq0YMEChYaGqmPHjhoyZIjS0tKsxlRGDQAAAADA3c3uAfuFF17QyZMntWLFCn3wwQdydXXVoEGDlJeXp6ysLA0ePFjNmzdXQkKCxo4dq7i4OCUkJFiuX7JkiTZu3KgZM2Zo06ZNMplMGj58uAoKCiSp0moAAAAAAO5uTvZ886ysLDVp0kQvvPCCWrVqJUkaPXq0/vCHP+iHH35QYmKinJ2dNX36dDk5OcnX11dpaWlasWKF+vXrp4KCAq1atUqTJk1Sjx49JEmxsbEKDQ3Vjh07FBERoc2bN9/2GgAAAAAA2DVg161bV/Pnz7e8vnDhguLj4+Xt7S0/Pz8tXLhQwcHBcnL6X5shISFatmyZMjMzdfr0aV29elUhISGW8x4eHgoMDNT+/fsVERGhpKSk217D09PTpvs3m83Kzc216VrcmMlkkpubm73bAAAAACpNXl6ezGazvduodsxms0wmU4XG2jVg/9Jf/vIXy0zx0qVLVbNmTaWnp8vf399qXIMGDSRJZ86cUXp6uiTJx8enzJizZ89KUqXUsDVgFxYWKiUlxaZrcWNubm4KDAy0dxsAAABApTlx4oTy8vLs3Ua15OzsXKFxVSZgDxw4UM8884zee+89jRkzRhs2bFB+fn6ZG3FxcZEkXbt2zfLLU96Y7OxsSaqUGraqUaOG/Pz8bL4e11fRvzABAAAA1UWLFi2Ywb4NfrkJ92+pMgG7NGi+/vrrOnDggNatWydXV1fLRmOlSgNtzZo15erqKkkqKCiwfF06pnR5cGXUsJXJZLql6wEAAACgFI9I3h43M3ln113EMzMztW3bNhUXF1uOOTg4yNfXVxkZGfL29lZGRobVNaWvGzZsaFnWXd4Yb29vSaqUGgAAAAAA2DVgZ2RkaMKECdq3b5/lWGFhoY4cOSJfX18FBwcrOTnZKoAnJiaqRYsW8vT0VOvWreXu7q69e/dazl++fFlHjhxRly5dJKlSagAAAAAAYFPA3rp1q7Kysso9d/78ea1YsaJCdVq3bq3u3bvrtddeU1JSko4dO6aXXnpJly9f1qBBg9SvXz/l5OQoJiZGqamp2rJli9auXauRI0dK+vm56aioKM2dO1c7d+7U0aNHFR0dLW9vb4WHh0tSpdQAAAAAAMBktuEp+DZt2mjTpk3q0KFDmXO7d+/WmDFjdOjQoQrVunLliubNm6fPP/9cV65cUZcuXTRlyhTL52IfPHhQM2fO1JEjR+Tl5aUhQ4YoKirKcn1xcbHmz5+vLVu2KD8/X8HBwZo6daqaNGliGVMZNW5W6fenffv2NtfAbxu4Pl7Hzqfbuw0AAADgtvH38tbayKH2bqPaupnsVuGAPXLkSMvuaadPn5aXl1e5W5VnZmaqcePG+tvf/nYzPd91CNiVg4ANAACA6o6AfXvdTHar8C7iI0eO1Pvvvy9J+vDDDxUYGKh69epZjXFwcJCHh4eeeuqpm+kXAAAAAIA7XoUDdufOndW5c2fL69GjR6tp06a3pSkAAAAAAO40Nn0O9qxZs4zuAwAAAACAO5pNAfvixYuaOXOmvvzyS+Xl5enXj3GbTCYdOXLEkAYBAAAAALgT2BSwp0+frn/+85+KiIiQt7e3HBzs+nHaAAAAAADYnU0B+6uvvtIrr7yiZ555xuh+AAAAAAC4I9k09ezs7MwGZwAAAAAA/IJNATs8PFzbtm0zuhcAAAAAAO5YNi0RDwwM1Ntvv62TJ0+qY8eOcnV1tTpvMpk0ZswYQxoEAAAAAOBOYFPA/utf/ypJ2r9/v/bv31/mPAEbAAAAAHC3sSlgHz161Og+AAAAAAC4o/H5WgAAAAAAGMCmGeyXX375N8fMmjXLltIAAAAAANyRbArYe/fuLXMsNzdXly5dUp06ddS+fftbbgwAAAAAgDuJTQH7iy++KPf48ePHNXbsWD355JO30hMAAAAAAHccQ5/BbtmypcaMGaNFixYZWRYAAAAAgCrP8E3O3N3ddfr0aaPLAgAAAABQpdm0RPzMmTNljhUXFys9PV1vv/22fH19b7kxAAAAAADuJDYF7LCwMJlMpjLHzWaz3NzctHDhwltuDAAAAACAO4lNAfuNN94oE7BNJpPc3d0VEhIid3d3Q5oDAAAAAOBOYVPAfuqpp4zuAwAAAACAO5pNAVuSLl68qNWrV2vv3r26fPmy6tatqy5dumjQoEHy9PQ0skcAAAAAAKo8m3YRT09PV9++fbVmzRq5uLgoMDBQTk5OWr16tZ588kmdO3fO6D4BAAAAAKjSbJrBnjNnjpycnLR9+3Y1bdrUcvzkyZMaMmSIYmNjNXv2bMOaBAAAAACgqrNpBvvrr7/WuHHjrMK1JDVt2lRjxozR7t27DWkOAAAAAIA7hU0Bu7i4WHXr1i33XL169ZSTk3NLTQEAAAAAcKexKWAHBAToo48+Kvfc1q1b5e/vf0tNAQAAAABwp7HpGezRo0dr6NChunTpkvr06aP69evrwoUL+uSTT7Rnzx4tWLDA6D4BAAAAAKjSbArYDzzwgN566y299dZb+te//mU57uXlpVmzZik8PNywBgEAAAAAuBPY/DnYp0+fVkBAgNauXavs7GwdPXpUcXFxunTpkoHtAQAAAABwZ7ApYK9cuVKLFi3S888/L19fX0lSo0aN9N///lfz5s2Tm5ubnnnmGUMbBQAAAACgKrMpYG/evFnR0dEaNmyY5Zi3t7emTJmievXq6d133yVgAwAAAADuKjbtIn7u3Dm1bdu23HPt27fXqVOnbqkpAAAAAADuNDYF7KZNm2rPnj3lntu7d6+8vb1vqSkAAAAAAO40Ni0Rf+655/TGG2+oqKhIDz/8sDw9PXXx4kV9/vnnevfddzVx4kSj+wQAAAAAoEqzKWBHRkYqPT1dq1ev1po1ayzHHR0dNXDgQA0aNMig9gAAAAAAuDPY/DFdEyZM0IgRI3TgwAFdunRJHh4e6tChg+rWrWtkfwAAAAAA3BFsDtiSVLt2bYWGhhrVCwAAAAAAdyybNjkDAAAAAADWCNgAAAAAABiAgA0AAAAAgAEI2AAAAAAAGICADQAAAACAAQjYAAAAAAAYwO4B+9KlS5o6daoefPBBde7cWc8995ySkpIs51NSUhQVFaVOnTqpZ8+eio+Pt7q+pKRECxYsUGhoqDp27KghQ4YoLS3Nakxl1AAAAAAA3N3sHrD//Oc/69tvv9X8+fP1wQcfqG3btho6dKh+/PFHZWVlafDgwWrevLkSEhI0duxYxcXFKSEhwXL9kiVLtHHjRs2YMUObNm2SyWTS8OHDVVBQIEmVVgMAAAAAcHdzsuebp6Wl6V//+pfee+89de7cWZIUExOj3bt3a9u2bXJ1dZWzs7OmT58uJycn+fr6Ki0tTStWrFC/fv1UUFCgVatWadKkSerRo4ckKTY2VqGhodqxY4ciIiK0efPm214DAAAAAAC7Buy6detq+fLlateuneWYyWSS2WxWdna2vvvuOwUHB8vJ6X9thoSEaNmyZcrMzNTp06d19epVhYSEWM57eHgoMDBQ+/fvV0REhJKSkm57DU9PT5vu32w2Kzc316ZrcWMmk0lubm72bgMAAACoNHl5eTKbzfZuo9oxm80ymUwVGmvXgO3h4WGZNS7197//Xf/973/VvXt3xcbGyt/f3+p8gwYNJElnzpxRenq6JMnHx6fMmLNnz0qS0tPTb3sNWwN2YWGhUlJSbLoWN+bm5qbAwEB7twEAAABUmhMnTigvL8/ebVRLzs7OFRpn14D9a8nJyXrllVfUq1cvhYWFadasWWVuxMXFRZJ07do1yy9PeWOys7MlSfn5+be9hq1q1KghPz8/m6/H9VX0L0wAAABAddGiRQtmsG+D1NTUCo+tMgH7888/18SJE9WxY0fNnz9fkuTq6mrZaKxUaaCtWbOmXF1dJUkFBQWWr0vHlC4ProwatjKZTLd0PQAAAACU4hHJ2+NmJu/svou4JK1bt05jx47Vgw8+qBUrVliCrre3tzIyMqzGlr5u2LChZVl3eWO8vb0rrQYAAAAAAHYP2Bs2bNDrr7+uyMhIvf3221ZLsYODg5WcnKzi4mLLscTERLVo0UKenp5q3bq13N3dtXfvXsv5y5cv68iRI+rSpUul1QAAAAAAwK4B+8SJE3rjjTcUHh6ukSNHKjMzU+fPn9f58+d15coV9evXTzk5OYqJiVFqaqq2bNmitWvXauTIkZJ+fm46KipKc+fO1c6dO3X06FFFR0fL29tb4eHhklQpNQAAAAAAsOsz2J999pkKCwu1Y8cO7dixw+pc3759NXv2bK1cuVIzZ85U37595eXlpcmTJ6tv376WcePGjVNRUZFeffVV5efnKzg4WPHx8ZaZcE9Pz0qpAQAAAAC4u5nMbDNnF4cOHZIktW/f3s6dVG8D18fr2Pl0e7cBAAAA3Db+Xt5aGznU3m1UWzeT3ez+DDYAAAAAANUBARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAANUqYC9ZMkSDRgwwOpYSkqKoqKi1KlTJ/Xs2VPx8fFW50tKSrRgwQKFhoaqY8eOGjJkiNLS0iq9BgAAAADg7lZlAvaaNWu0YMECq2NZWVkaPHiwmjdvroSEBI0dO1ZxcXFKSEiwjFmyZIk2btyoGTNmaNOmTTKZTBo+fLgKCgoqtQYAAAAA4O7mZO8Gzp07p5iYGCUnJ6tFixZW5zZv3ixnZ2dNnz5dTk5O8vX1VVpamlasWKF+/fqpoKBAq1at0qRJk9SjRw9JUmxsrEJDQ7Vjxw5FRERUSg0AAAAAAOwesA8fPqx77rlHH3/8sRYvXqzTp09bziUlJSk4OFhOTv9rMyQkRMuWLVNmZqZOnz6tq1evKiQkxHLew8NDgYGB2r9/vyIiIiqlhqenp033bjablZuba9O1uDGTySQ3Nzd7twEAAABUmry8PJnNZnu3Ue2YzWaZTKYKjbV7wA4LC1NYWFi559LT0+Xv7291rEGDBpKkM2fOKD09XZLk4+NTZszZs2crrYatAbuwsFApKSk2XYsbc3NzU2BgoL3bAAAAACrNiRMnlJeXZ+82qiVnZ+cKjbN7wL6R/Pz8Mjfi4uIiSbp27Zrll6e8MdnZ2ZVWw1Y1atSQn5+fzdfj+ir6FyYAAACgumjRogUz2LdBampqhcdW6YDt6upq2WisVGmgrVmzplxdXSVJBQUFlq9Lx5QuD66MGrYymUy3dD0AAAAAlOIRydvjZibvqswu4uXx9vZWRkaG1bHS1w0bNrQs6y5vjLe3d6XVAAAAAACgSgfs4OBgJScnq7i42HIsMTFRLVq0kKenp1q3bi13d3ft3bvXcv7y5cs6cuSIunTpUmk1AAAAAACo0gG7X79+ysnJUUxMjFJTU7VlyxatXbtWI0eOlPTzc9NRUVGaO3eudu7cqaNHjyo6Olre3t4KDw+vtBoAAAAAAFTpZ7A9PT21cuVKzZw5U3379pWXl5cmT56svn37WsaMGzdORUVFevXVV5Wfn6/g4GDFx8dbNiWrrBoAAAAAgLubycw2c3Zx6NAhSVL79u3t3En1NnB9vI6dT7d3GwAAAMBt4+/lrbWRQ+3dRrV1M9mtSi8RBwAAAADgTkHABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAATsm1BSUqIFCxYoNDRUHTt21JAhQ5SWlmbvtgAAAAAAVQAB+yYsWbJEGzdu1IwZM7Rp0yaZTCYNHz5cBQUF9m4NAAAAAGBnBOwKKigo0KpVqzR27Fj16NFDrVu3VmxsrM6dO6cdO3bYuz0AAAAAgJ0RsCvo6NGjunr1qkJCQizHPDw8FBgYqP3799uxMwAAAABAVeBk7wbuFOnp6ZIkHx8fq+MNGjTQ2bNnb7peYWGhzGazDh48aEh/KMtkMmloq3YqatnG3q0AAAAAt42To6MOHToks9ls71aqpcLCQplMpgqNJWBXUF5eniTJ2dnZ6riLi4uys7Nvul7pD6iiPyjYpq5bTXu3AAAAAFQKssXtYTKZCNhGc3V1lfTzs9ilX0vStWvX5ObmdtP1goKCDOsNAAAAAGB/PINdQaVLwzMyMqyOZ2RkyNvb2x4tAQAAAACqEAJ2BbVu3Vru7u7au3ev5djly5d15MgRdenSxY6dAQAAAACqApaIV5Czs7OioqI0d+5c1atXT40bN9acOXPk7e2t8PBwe7cHAAAAALAzAvZNGDdunIqKivTqq68qPz9fwcHBio+PL7PxGQAAAADg7mMys5c7AAAAAAC3jGewAQAAAAAwAAEbAAAAAAADELABAAAAADAAARsAAAAAAAMQsAEAAAAAMAABGwAAAAAAAxCwAQAAAAAwAAEbAAAAAAADELABAMANffTRRzpw4IC92wAAoMojYAMAgOv68ccftXLlSr355ps6fPiwvdsBAKBKI2ADAIDr8vX11QsvvCAnJyfNnj1b3333nb1bAgCgyiJgAwCAchUXF0uSHnvsMfXv318lJSV68803CdkAAFwHARsAAJTL0dFRRUVFkqRHH32UkA0AwG8wmc1ms72bAAAAVcPatWvl4OAgb29v3XfffXJ2dpa7u7vl/Oeff66VK1eqRo0amjRpkjp06GDHbgEAqFoI2AAAQJJ07tw59ejRw/K6YcOGcnJyUlBQkO6991498MADCggI0Keffqrt27eroKBAMTExat26tR27BgCg6iBgAwAAi4MHD2rw4MEKDAxUmzZt5O7urj179ujEiRPKzc2Vo6Oj/Pz8dPz4cTk6OqpRo0aaN2+e/Pz87N06AAB2R8AGAABW/v3vf2vixImKiIjQ8OHD5eHhoZycHB0/flwpKSk6ffq0vv76a126dElZWVnatm2bGjdubO+2AQCwOwI2AAAoIykpSePGjVOfPn3Uv39/3XvvvVbnzWazioqKdPnyZXl6etqpSwAAqhYCNgAAKFdycrLGjx+vxx9/XJGRkWratKkkqaioSI6OjjKZTHbuEACAqoWADQAArispKUkvvviiHn/8cUVFRalJkyb2bgkAgCqLgA0AAG4oOTlZEyZM0IMPPqhRo0apUaNG9m4JAIAqycHeDQAAgKrtvvvu05tvvql9+/bJ2dnZ3u0AAFBlMYMNAAAqJC8vT25ubvZuAwCAKouADQAAAACAAVgiDgAAAACAAQjYAAAAAAAYgIANAAAAAIABCNgAAAAAABiAgA0AAAAAgAEI2AAAAAAAGICADQDAXWTKlCkKCwur9PcNCAjQwoULf3Pc3Llz1a1bN3Xq1Elbt25VWFiYpkyZUgkdAgBw6wjYAACgSjh27JhWrFih3r17a+XKlXrwwQft3RIAADfFyd4NAAAASNKlS5ckSREREerSpYt9mwEAwAbMYAMAUM0cPnxYAwcO1H333aegoCANGjRI3377rdWYLVu26JFHHlH79u31xBNPaPfu3VbnAgMD9f7776t79+568MEH9cMPP6i4uFjLly/X448/rg4dOqhTp0569tlnlZiYaFV73759euaZZ9SxY0c98sgj2rNnj9X5U6dOKSAgQKtXr9ajjz6qrl27KiwsTAMGDJAkDRw48LrL2DMyMhQdHa2uXbsqODhYU6dOVWxsrF2WvQMA8GvMYAMAUI3k5ORo2LBh6tatmxYsWKDCwkItXbpUQ4cO1a5duyRJZ8+e1fLlyzV+/Hi5ublp/vz5Gjt2rL744gt5enpKkoqLi/XOO+9oxowZunjxovz8/PTWW29pw4YNmjhxogICApSenq7Fixdr/Pjx+vLLL1WzZk0dPnxYQ4YMUbdu3RQXF6czZ87oz3/+c7m9xsbGaurUqfLw8FC7du20a9cu/fWvf9XUqVMVFBRUZnxBQYEGDhyo3NxcvfLKK3J3d9fy5cuVkpIiLy+v2/dNBQCgggjYAABUI6mpqbp48aIGDBig++67T5LUsmVLbdy4UTk5OZKkkpISLV68WL6+vpIkFxcXDR48WAcOHFCvXr0stUaNGqWePXtaXpfOHpfONEuSq6urxo4dq++//15BQUFatmyZ6tWrp6VLl8rZ2VmSVKdOHUVHR5fptXfv3nr66actr/38/Cz/DQwMLDP+448/1vHjx5WQkKB27dpJkkJCQvTwww/b9L0CAMBoBGwAAKqRVq1aqV69enrhhRf06KOPqkePHrr//vs1efJky5i6detawrUkNW3aVJJ05coVq1r+/v5Wr+fNmydJunjxotLS0nTixAl98cUXkqTCwkJJUnJysnr27GkJ19LPQdrR0bFMr7+u/1u++eYbNW3a1BKuJcnd3V0PPfSQ9u7de1O1AAC4HQjYAABUI7Vq1dL69eu1dOlSbd++XRs3bpSbm5ueeOIJxcTESJJq1qxpdY3JZJL088z2L5UuFy916NAhvfbaazp06JBcXV3l5+enxo0bS5LMZrMkKTs7W/Xq1bO6zsnJSXXr1i3Ta/369W/q3rKyssr0ZEsdAABuFwI2AADVTMuWLTVnzhwVFxfr4MGD+uijj/Tee++pSZMmNtcsfbY7ICBA27Ztk6+vrxwcHPTPf/5Tn332mWVcnTp1dOHCBatrzWazsrOzbX7vUg0bNlRaWlqZ45mZmbdcGwAAI7CLOAAA1cinn36qkJAQnT9/Xo6OjgoKCtL06dPl4eGh9PR0m+seP35cly5d0vPPP69WrVrJweHn/4Uo3X28dPb7/vvv1+7du5WXl2e59quvvrIsIb8VXbt21cmTJ5WSkmI5du3aNasd0AEAsCdmsAEAqEY6d+6skpISjRkzRiNGjFCtWrX097//XVeuXFHv3r21detWm+q2aNFC7u7ueuedd+Tk5CQnJyd99tln+uCDDyTJEqjHjBmjzz//XEOHDtWwYcOUlZWl2NhY1ahR45bv7fHHH9fy5cs1ZswYjR8/Xh4eHlq1apUyMzPVqFGjW64PAMCtYgYbAIBqpEGDBlq5cqVq166tmJgYjRw5UocPH9bChQsVEhJic93atWtryZIlMpvNGj9+vCZPnqwzZ85o3bp1qlWrlpKSkiRJzZs317p16+To6Kjo6GgtXrxYL730ku65555bvjcnJyfFx8crMDBQ06dP1+TJk+Xv76/w8PAyz5UDAGAPJnPpriQAAABV2A8//KDjx4+rd+/elo3ZJKlfv37y8fHRokWL7NgdAAAsEQcAAHeI3NxcjR8/Xv3791d4eLiKi4u1bds2HT58WJMmTbJ3ewAAMIMNAADuHJ9++qni4+P1448/ymw2KzAwUC+88IK6d+9u79YAACBgAwAAAABgBDY5AwAAAADAAARsAAAAAAAMQMAGAAAAAMAABGwAAAAAAAxAwAYAAAAAwAAEbAAAAAAADEDABgAAAADAAARsAAAAAAAM8P8ABSC0eTgeCAAAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>count</th>\n",
+       "      <th>pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>MKC</td>\n",
+       "      <td>5536</td>\n",
+       "      <td>1.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>F</td>\n",
+       "      <td>2773</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>BBY</td>\n",
+       "      <td>2770</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>EOG</td>\n",
+       "      <td>2769</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>CTAS</td>\n",
+       "      <td>2769</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>ORCL</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>MS</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>NSC</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>KEY</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>VZ</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>T</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>USB</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>AIG</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>ECL</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>C</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>CSX</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>STT</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>SCHW</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>ADBE</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>VTR</td>\n",
+       "      <td>2768</td>\n",
+       "      <td>0.56</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ticker  count   pct\n",
+       "0     MKC   5536  1.12\n",
+       "1       F   2773  0.56\n",
+       "2     BBY   2770  0.56\n",
+       "3     EOG   2769  0.56\n",
+       "4    CTAS   2769  0.56\n",
+       "5    ORCL   2768  0.56\n",
+       "6      MS   2768  0.56\n",
+       "7     NSC   2768  0.56\n",
+       "8     KEY   2768  0.56\n",
+       "9      VZ   2768  0.56\n",
+       "10      T   2768  0.56\n",
+       "11    USB   2768  0.56\n",
+       "12    AIG   2768  0.56\n",
+       "13    ECL   2768  0.56\n",
+       "14      C   2768  0.56\n",
+       "15    CSX   2768  0.56\n",
+       "16    STT   2768  0.56\n",
+       "17   SCHW   2768  0.56\n",
+       "18   ADBE   2768  0.56\n",
+       "19    VTR   2768  0.56"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Categorical summary exported.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Categorical univariate analysis\n",
+    "existing_cats = [c for c in categorical_candidates if c in df.columns]\n",
+    "cat_freq_tables = {}\n",
+    "\n",
+    "for col in existing_cats:\n",
+    "    top_n = 20 if col == \"ticker\" else 10\n",
+    "    freq = (\n",
+    "        df[col]\n",
+    "        .fillna(\"<NA>\")\n",
+    "        .astype(str)\n",
+    "        .value_counts(dropna=False)\n",
+    "        .head(top_n)\n",
+    "        .rename_axis(col)\n",
+    "        .reset_index(name=\"count\")\n",
+    "    )\n",
+    "    freq[\"pct\"] = (freq[\"count\"] / len(df) * 100).round(2)\n",
+    "    cat_freq_tables[col] = freq\n",
+    "    display(freq)\n",
+    "\n",
+    "    plt.figure(figsize=(10, 4))\n",
+    "    sns.barplot(data=freq, x=col, y=\"count\", color=\"#2A9D8F\")\n",
+    "    plt.title(f\"Top categories: {col}\")\n",
+    "    plt.xticks(rotation=45, ha=\"right\")\n",
+    "    plt.tight_layout()\n",
+    "    plt.show()\n",
+    "\n",
+    "if cat_freq_tables:\n",
+    "    cat_export = pd.concat(\n",
+    "        [v.assign(variable=k) for k, v in cat_freq_tables.items()],\n",
+    "        ignore_index=True\n",
+    "    )\n",
+    "    cat_export.to_csv(OUTPUT_DIR / \"categorical_univariate_summary.csv\", index=False)\n",
+    "    print(\"Categorical summary exported.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "49e0e643",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>count</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>1%</th>\n",
+       "      <th>5%</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>95%</th>\n",
+       "      <th>99%</th>\n",
+       "      <th>max</th>\n",
+       "      <th>missing_count</th>\n",
+       "      <th>missing_pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>dlyclose</th>\n",
+       "      <td>495710.0</td>\n",
+       "      <td>1.601598e+02</td>\n",
+       "      <td>2.813365e+02</td>\n",
+       "      <td>2.100000</td>\n",
+       "      <td>1.222000e+01</td>\n",
+       "      <td>2.432000e+01</td>\n",
+       "      <td>5.504000e+01</td>\n",
+       "      <td>9.162000e+01</td>\n",
+       "      <td>1.614575e+02</td>\n",
+       "      <td>4.665955e+02</td>\n",
+       "      <td>1.584326e+03</td>\n",
+       "      <td>5.300340e+03</td>\n",
+       "      <td>277</td>\n",
+       "      <td>0.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dlyopen</th>\n",
+       "      <td>495710.0</td>\n",
+       "      <td>1.601440e+02</td>\n",
+       "      <td>2.813241e+02</td>\n",
+       "      <td>2.200000</td>\n",
+       "      <td>1.223000e+01</td>\n",
+       "      <td>2.430000e+01</td>\n",
+       "      <td>5.502000e+01</td>\n",
+       "      <td>9.160000e+01</td>\n",
+       "      <td>1.614500e+02</td>\n",
+       "      <td>4.665910e+02</td>\n",
+       "      <td>1.583609e+03</td>\n",
+       "      <td>5.300000e+03</td>\n",
+       "      <td>277</td>\n",
+       "      <td>0.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dlyhigh</th>\n",
+       "      <td>495710.0</td>\n",
+       "      <td>1.617922e+02</td>\n",
+       "      <td>2.843553e+02</td>\n",
+       "      <td>2.600000</td>\n",
+       "      <td>1.240000e+01</td>\n",
+       "      <td>2.460000e+01</td>\n",
+       "      <td>5.556000e+01</td>\n",
+       "      <td>9.250000e+01</td>\n",
+       "      <td>1.630200e+02</td>\n",
+       "      <td>4.715255e+02</td>\n",
+       "      <td>1.598971e+03</td>\n",
+       "      <td>5.337240e+03</td>\n",
+       "      <td>277</td>\n",
+       "      <td>0.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dlylow</th>\n",
+       "      <td>495710.0</td>\n",
+       "      <td>1.584577e+02</td>\n",
+       "      <td>2.782022e+02</td>\n",
+       "      <td>1.930000</td>\n",
+       "      <td>1.206000e+01</td>\n",
+       "      <td>2.400000e+01</td>\n",
+       "      <td>5.450000e+01</td>\n",
+       "      <td>9.068000e+01</td>\n",
+       "      <td>1.598600e+02</td>\n",
+       "      <td>4.615000e+02</td>\n",
+       "      <td>1.564992e+03</td>\n",
+       "      <td>5.260000e+03</td>\n",
+       "      <td>277</td>\n",
+       "      <td>0.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dlyprc</th>\n",
+       "      <td>495986.0</td>\n",
+       "      <td>1.601263e+02</td>\n",
+       "      <td>2.812630e+02</td>\n",
+       "      <td>2.100000</td>\n",
+       "      <td>1.222000e+01</td>\n",
+       "      <td>2.433000e+01</td>\n",
+       "      <td>5.505000e+01</td>\n",
+       "      <td>9.162000e+01</td>\n",
+       "      <td>1.614200e+02</td>\n",
+       "      <td>4.664175e+02</td>\n",
+       "      <td>1.583995e+03</td>\n",
+       "      <td>5.300340e+03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dlyret</th>\n",
+       "      <td>495984.0</td>\n",
+       "      <td>5.988227e-04</td>\n",
+       "      <td>1.823264e-02</td>\n",
+       "      <td>-0.538647</td>\n",
+       "      <td>-4.926100e-02</td>\n",
+       "      <td>-2.575985e-02</td>\n",
+       "      <td>-7.398000e-03</td>\n",
+       "      <td>7.570000e-04</td>\n",
+       "      <td>8.801000e-03</td>\n",
+       "      <td>2.591670e-02</td>\n",
+       "      <td>4.967668e-02</td>\n",
+       "      <td>6.464650e-01</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dlyretx</th>\n",
+       "      <td>495984.0</td>\n",
+       "      <td>5.085932e-04</td>\n",
+       "      <td>1.825545e-02</td>\n",
+       "      <td>-0.538647</td>\n",
+       "      <td>-4.943017e-02</td>\n",
+       "      <td>-2.591400e-02</td>\n",
+       "      <td>-7.513000e-03</td>\n",
+       "      <td>6.800000e-04</td>\n",
+       "      <td>8.735000e-03</td>\n",
+       "      <td>2.585185e-02</td>\n",
+       "      <td>4.960219e-02</td>\n",
+       "      <td>6.464650e-01</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dlyvol</th>\n",
+       "      <td>495986.0</td>\n",
+       "      <td>6.450505e+06</td>\n",
+       "      <td>1.308824e+07</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.708975e+05</td>\n",
+       "      <td>4.565002e+05</td>\n",
+       "      <td>1.292174e+06</td>\n",
+       "      <td>2.667740e+06</td>\n",
+       "      <td>6.254771e+06</td>\n",
+       "      <td>2.457039e+07</td>\n",
+       "      <td>6.026766e+07</td>\n",
+       "      <td>6.575423e+08</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>shrout</th>\n",
+       "      <td>495987.0</td>\n",
+       "      <td>1.057452e+06</td>\n",
+       "      <td>1.747422e+06</td>\n",
+       "      <td>9064.000000</td>\n",
+       "      <td>2.382700e+04</td>\n",
+       "      <td>9.143800e+04</td>\n",
+       "      <td>2.361450e+05</td>\n",
+       "      <td>4.574510e+05</td>\n",
+       "      <td>9.941270e+05</td>\n",
+       "      <td>4.297435e+06</td>\n",
+       "      <td>8.698115e+06</td>\n",
+       "      <td>2.456884e+07</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dlycap</th>\n",
+       "      <td>495986.0</td>\n",
+       "      <td>1.019673e+08</td>\n",
+       "      <td>2.234875e+08</td>\n",
+       "      <td>38249.400000</td>\n",
+       "      <td>3.944609e+06</td>\n",
+       "      <td>9.853094e+06</td>\n",
+       "      <td>2.185659e+07</td>\n",
+       "      <td>4.445710e+07</td>\n",
+       "      <td>1.012785e+08</td>\n",
+       "      <td>3.253289e+08</td>\n",
+       "      <td>9.508571e+08</td>\n",
+       "      <td>3.915300e+09</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dlycumfacpr</th>\n",
+       "      <td>495987.0</td>\n",
+       "      <td>1.984955e+00</td>\n",
+       "      <td>5.277999e+00</td>\n",
+       "      <td>0.202170</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>4.000000e+00</td>\n",
+       "      <td>3.993800e+01</td>\n",
+       "      <td>7.000000e+01</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dlycumfacshr</th>\n",
+       "      <td>495987.0</td>\n",
+       "      <td>1.972130e+00</td>\n",
+       "      <td>5.266150e+00</td>\n",
+       "      <td>0.125000</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>4.000000e+00</td>\n",
+       "      <td>2.800000e+01</td>\n",
+       "      <td>7.000000e+01</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sprtrn</th>\n",
+       "      <td>495987.0</td>\n",
+       "      <td>4.797478e-04</td>\n",
+       "      <td>1.093422e-02</td>\n",
+       "      <td>-0.119841</td>\n",
+       "      <td>-3.203700e-02</td>\n",
+       "      <td>-1.640100e-02</td>\n",
+       "      <td>-3.750000e-03</td>\n",
+       "      <td>6.480000e-04</td>\n",
+       "      <td>5.675000e-03</td>\n",
+       "      <td>1.527000e-02</td>\n",
+       "      <td>2.596600e-02</td>\n",
+       "      <td>9.382800e-02</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>vwretd</th>\n",
+       "      <td>495987.0</td>\n",
+       "      <td>4.861167e-04</td>\n",
+       "      <td>1.079372e-02</td>\n",
+       "      <td>-0.118168</td>\n",
+       "      <td>-3.135100e-02</td>\n",
+       "      <td>-1.622000e-02</td>\n",
+       "      <td>-3.839000e-03</td>\n",
+       "      <td>7.010000e-04</td>\n",
+       "      <td>5.654000e-03</td>\n",
+       "      <td>1.541300e-02</td>\n",
+       "      <td>2.543700e-02</td>\n",
+       "      <td>9.155600e-02</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ewretd</th>\n",
+       "      <td>495987.0</td>\n",
+       "      <td>3.614409e-04</td>\n",
+       "      <td>1.053813e-02</td>\n",
+       "      <td>-0.107631</td>\n",
+       "      <td>-2.645500e-02</td>\n",
+       "      <td>-1.549600e-02</td>\n",
+       "      <td>-4.556000e-03</td>\n",
+       "      <td>7.110000e-04</td>\n",
+       "      <td>5.760000e-03</td>\n",
+       "      <td>1.548300e-02</td>\n",
+       "      <td>2.462600e-02</td>\n",
+       "      <td>8.217500e-02</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 count          mean           std           min            1%            5%           25%           50%           75%           95%           99%           max  missing_count  \\\n",
+       "dlyclose      495710.0  1.601598e+02  2.813365e+02      2.100000  1.222000e+01  2.432000e+01  5.504000e+01  9.162000e+01  1.614575e+02  4.665955e+02  1.584326e+03  5.300340e+03            277   \n",
+       "dlyopen       495710.0  1.601440e+02  2.813241e+02      2.200000  1.223000e+01  2.430000e+01  5.502000e+01  9.160000e+01  1.614500e+02  4.665910e+02  1.583609e+03  5.300000e+03            277   \n",
+       "dlyhigh       495710.0  1.617922e+02  2.843553e+02      2.600000  1.240000e+01  2.460000e+01  5.556000e+01  9.250000e+01  1.630200e+02  4.715255e+02  1.598971e+03  5.337240e+03            277   \n",
+       "dlylow        495710.0  1.584577e+02  2.782022e+02      1.930000  1.206000e+01  2.400000e+01  5.450000e+01  9.068000e+01  1.598600e+02  4.615000e+02  1.564992e+03  5.260000e+03            277   \n",
+       "dlyprc        495986.0  1.601263e+02  2.812630e+02      2.100000  1.222000e+01  2.433000e+01  5.505000e+01  9.162000e+01  1.614200e+02  4.664175e+02  1.583995e+03  5.300340e+03              1   \n",
+       "dlyret        495984.0  5.988227e-04  1.823264e-02     -0.538647 -4.926100e-02 -2.575985e-02 -7.398000e-03  7.570000e-04  8.801000e-03  2.591670e-02  4.967668e-02  6.464650e-01              3   \n",
+       "dlyretx       495984.0  5.085932e-04  1.825545e-02     -0.538647 -4.943017e-02 -2.591400e-02 -7.513000e-03  6.800000e-04  8.735000e-03  2.585185e-02  4.960219e-02  6.464650e-01              3   \n",
+       "dlyvol        495986.0  6.450505e+06  1.308824e+07      0.000000  1.708975e+05  4.565002e+05  1.292174e+06  2.667740e+06  6.254771e+06  2.457039e+07  6.026766e+07  6.575423e+08              1   \n",
+       "shrout        495987.0  1.057452e+06  1.747422e+06   9064.000000  2.382700e+04  9.143800e+04  2.361450e+05  4.574510e+05  9.941270e+05  4.297435e+06  8.698115e+06  2.456884e+07              0   \n",
+       "dlycap        495986.0  1.019673e+08  2.234875e+08  38249.400000  3.944609e+06  9.853094e+06  2.185659e+07  4.445710e+07  1.012785e+08  3.253289e+08  9.508571e+08  3.915300e+09              1   \n",
+       "dlycumfacpr   495987.0  1.984955e+00  5.277999e+00      0.202170  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  4.000000e+00  3.993800e+01  7.000000e+01              0   \n",
+       "dlycumfacshr  495987.0  1.972130e+00  5.266150e+00      0.125000  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  1.000000e+00  4.000000e+00  2.800000e+01  7.000000e+01              0   \n",
+       "sprtrn        495987.0  4.797478e-04  1.093422e-02     -0.119841 -3.203700e-02 -1.640100e-02 -3.750000e-03  6.480000e-04  5.675000e-03  1.527000e-02  2.596600e-02  9.382800e-02              0   \n",
+       "vwretd        495987.0  4.861167e-04  1.079372e-02     -0.118168 -3.135100e-02 -1.622000e-02 -3.839000e-03  7.010000e-04  5.654000e-03  1.541300e-02  2.543700e-02  9.155600e-02              0   \n",
+       "ewretd        495987.0  3.614409e-04  1.053813e-02     -0.107631 -2.645500e-02 -1.549600e-02 -4.556000e-03  7.110000e-04  5.760000e-03  1.548300e-02  2.462600e-02  8.217500e-02              0   \n",
+       "\n",
+       "              missing_pct  \n",
+       "dlyclose             0.06  \n",
+       "dlyopen              0.06  \n",
+       "dlyhigh              0.06  \n",
+       "dlylow               0.06  \n",
+       "dlyprc               0.00  \n",
+       "dlyret               0.00  \n",
+       "dlyretx              0.00  \n",
+       "dlyvol               0.00  \n",
+       "shrout               0.00  \n",
+       "dlycap               0.00  \n",
+       "dlycumfacpr          0.00  \n",
+       "dlycumfacshr         0.00  \n",
+       "sprtrn               0.00  \n",
+       "vwretd               0.00  \n",
+       "ewretd               0.00  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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MXbp0UUFBgbZt22ZbUte6dWsFBwdry5YtWr9+vW2p3tms/9FgrQkAgMriPf3C3tPPx2w2a/bs2Xrqqafk7e2t9PR0W1jk5eWl4OBgHTt2TNHR0aUeDHLZZZcpLy9PX375pa655hpdfvnltg3N//jjD0myLdP79ttvFRISomuvvda2fDA9PV2HDx8udynfX3/9pc8//1xffPGF7frQ0FBJxcsnLRaLTpw4UeY41a5dWydPnlRRUVGJ8Gnnzp0qLCy0LVc7nxMnTpQIn44dOyZvb2+FhobagsFz/+2lp6dLKg6p8vPzJVX8PbYGZOf+e6ro33RmZib3UXALLLUD4Dbat2+vgIAA242LlXXpWEX69eunU6dOaerUqWrcuLFtA05J6tChg7Zv3267wZCk48ePa+jQoaU2npSK90H49ttvS/yWzGKx6NNPP1VUVJT8/Pz00ksv6Y477pBhGAoMDFS3bt1seyQdPnxY7dq1k6+vr44cOaKoqCjbh3WafHnTrv38/BQeHq7Dhw+ft8//+9//lJ+fr+HDh9tCJ0m20Mk64yk8PFytWrXSu+++q6NHj6pjx47y9vZWTEyMPvjgA/3999+lltlJUmpqqry9vSv9qGYAAKx4T7+w9/Tzefvtt9WgQQP94x//kFQcllgDELPZrJMnT6pevXry8/MrUWNUVJTq1q0rX19fPf/883rvvfdKjMPSpUt15ZVX2pbyL1++vMSG25K0ePFieXt7l3mvIBWHNQMHDrTdL4SFhdmCvaNHj9oCoLJ06NBBBQUF+v77723HDMPQ+PHj9frrr1d6fM5+Cp5hGPrqq6907bXXlpiVde6T8r788ksFBgaqXbt2lfoe+/v7q3379vrqq69s91hltWt18uRJ5ebm6pJLLql0P4DqihlPANxGrVq19NBDD+mVV15RYGCgYmNj9f3331fqJrVRo0a64YYb9OOPP2rMmDElzg0aNEhr1qzR/fffrwcffFD+/v6aP3++GjRooNtuu63UFOgRI0Zo/fr1uvfeezVs2DD5+flp6dKl2r9/vxYuXChJuv766/Xmm2/qySefVN++fVVQUKCFCxcqNDRUsbGxCg0N1QMPPKBZs2YpKytL1113nY4cOaJZs2bJZDJVuKlop06d9PPPP5+3z61bt5aPj4+mTZumIUOGyGw2a/Xq1fruu+8kSTk5ObZru3btqtdee01NmjSx3Rhed911evHFF9WgQQO1bt26VPvbtm1Thw4dbMsbAACoLN7Ti1X2Pb0imZmZmj9/vubOnWs71q1bN73xxhv64IMPtGvXLoWEhCg6OrrcNry9vXX33Xdr8eLFatiwoZo2baqlS5faNva2zjYaOHCg7r//fk2ePFndu3fXxo0bNX/+fA0bNkyXX355qXY3b96s7du3a9q0abZjXbp00bvvvqtWrVrp7bffVufOneXjU/Z/tnbt2lXt27fXuHHj9Mgjj+jKK6/Uxx9/rF27dmnixImVHqNp06bJbDarSZMmWrlypXbv3q3FixeXuOaLL75Q/fr11aVLF23evFnvvPOOxowZo6CgIAUFBVXqe/zoo4/qvvvu04gRI9S/f3+lpKSUG5Bt27ZNUvEm5UCNZwCAm1myZInRo0cPo02bNsbAgQONZcuWGZGRkcb+/fsNwzCM2bNnG5GRkaVe9/bbbxstWrQwDh8+XOpccnKyMXz4cCM6Otro2LGjMWLECGPfvn2GYRjG/v37jcjISGPVqlW263fs2GE88MADRnR0tNG+fXvjvvvuM7Zs2VKizY8//tiIj4+3XfPAAw8YSUlJJa5ZunSpccsttxitW7c2brjhBuOxxx4zDh48WGH/161bZ7Rs2dI4cuSI7Vh5ff7888+N3r17G1FRUcaNN95ojBgxwti8ebPRvHlzY+nSpbbrfv31VyMyMtKYOHGi7dgff/xhREZGGhMmTCjVbl5enhETE2O88847FdYKAEBFeE8v/Z5+rm7duhljx44t9/xLL71kDBs2rNTxhQsXGrGxsUavXr2MzZs3V1iHYRiG2Ww2Xn75ZaNLly5GdHS08e9//9v44YcfSl338ccfG7fccovRtm1b45///KexZMmSctu84447jIULF5Y4lpeXZyQkJBjXXHONMXDgQCM1NbXCujIzM41nnnnGuP7664127doZ/fv3NzZs2GA7f/b4nPv9XbVqlREZGWl8+OGHxi233GJERUUZ/fv3NzZu3Gh7vfU1r7/+ujF48GAjKirKuOmmm4xly5aVqqUy3+OffvrJ6NevnxEVFWXcfPPNxjfffFPq35xhGMbTTz9t3HHHHRX2HagpTIZx1jw/APBgQ4cOlbe3t+bNm+fqUi6KYRj617/+pV69eunhhx92SQ0ffPCBZsyYoa+//loBAQEuqQEA4Ll4T0dlrF69WuPGjdO6devK3XT+wIED6tGjh22TdWfIzs5WXFyc/u///s+2PBKoydjjCYDHe+211/T4449r/fr1uv/++11dzkUzmUx6/PHH9e6777rkSSgWi0WLFi3SiBEjCJ0AAE7FezrcwbJlyxQZGVnqCYNATUXwBMDjffPNN/ruu++UkJCgmJgYV5djF507d7Y9rc7ZVq5cqQYNGujf//630782AMCz8Z6Omu748eNasmSJXnrppVJPWQRqKpbaAQAAAAAAwCGY8QQAAAAAAACHIHgCAAAAAACAQxA8AQAAAAAAwCF8XF2Ap/rll19kGIZ8fX1dXQoAAKhhCgoKZDKZ1L59+4tqh/sRAABQFRdyL+LyGU/p6elKSEhQbGys2rdvr2HDhik5Odl2fufOnRowYICio6PVtWtXJSYmlnh9UVGRZs+erbi4OLVr105DhgzR3r17S1zjjDYulGEYcuS+7oZhyGw2O/RroBhj7RyMs/Mw1s7DWDuPu421ve4j7H0/4m7jXBn02XN4Yr/ps+fwxH7T54tvq7LtuHzG03/+8x95eXlpwYIFCgoK0qxZszRo0CCtXbtWeXl5Gjx4sP7xj3/o2Wef1fbt2/Xss88qNDRU/fr1kyTNnTtXy5cv19SpU9WwYUNNmzZNQ4cO1SeffCI/Pz+dOHHCKW1cKOtvFqOiouwzkOfIycnRzp071axZMwUFBTnka6AYY+0cjLPzMNbOw1g7j7uN9e+//26Xdux9P+Ju41wZ9Nkz+ix5Zr/ps2f0WfLMftPni+vzhdyLuDR4OnHihC677DL95z//0dVXXy1Jeuihh/Svf/1Lf/31lzZs2CA/Pz9NmjRJPj4+atq0qfbu3asFCxaoX79+MpvNWrRokRISEtSlSxdJ0syZMxUXF6e1a9eqd+/eeu+99xzeBgAAAAAAAEpz6VK7unXr6uWXX7aFTseOHVNiYqIiIiLUrFkzbd26VTExMfLxOZOPxcbGas+ePUpPT1dSUpKys7MVGxtrOx8SEqJWrVppy5YtkuSUNgAAAAAAAFCay/d4spo4caI6deqkL774QpMnT1ZQUJBSU1MVERFR4roGDRpIkg4dOqTU1FRJUqNGjUpdc/jwYUlyShsAAAAAAAAozeV7PFndd9996t+/v9599109/PDDWrZsmfLy8uTn51fiOn9/f0lSfn6+cnNzJanMazIyMiTJKW1UlWEYysnJqfLrK2Ltl/VPOA5j7RyMs/Mw1s7DWDuPu421YRgymUyuLgMAAOC8qk3w1KxZM0nS888/r+3bt2vp0qUKCAiQ2WwucZ016AkKClJAQIAkyWw22z63XhMYGChJTmmjqgoKCrRz584qv74yUlJSHNo+zmCsnYNxdh7G2nkYa+dxp7E+95diAAAA1ZFLg6f09HRt2LBBN998s7y9vSVJXl5eatq0qdLS0hQREaG0tLQSr7H+vWHDhiosLLQdu+KKK0pc06JFC0lyShtV5evrawvc7C03N1cpKSlq3LixLUCDYzDWzsE4Ow9j7TyMtfO421gnJye7ugQAAIBKcWnwlJaWpscee0xhYWG6/vrrJRXPAtqxY4e6d++u+vXra/ny5bJYLLZgasOGDWrSpInCwsJUu3ZtBQcHa9OmTbbQKDMzUzt27NCAAQMkSTExMQ5vo6pMJpPDH9sYGBjoMY+GdDXG2jkYZ+dhrJ2HsXYedxlrltkBAICawqWbi7do0UI33nijnn32WW3dulW7du3S2LFjlZmZqUGDBqlfv37KysrS+PHjlZycrNWrV2vx4sUaPny4pOIp5gMGDND06dO1bt06JSUlacyYMYqIiFDPnj0lySltAAAAAAAAoDSXzngymUx65ZVXNGPGDI0ePVqnTp1Shw4d9M477+iSSy6RJC1cuFCTJ09WfHy8wsPD9cQTTyg+Pt7WxqhRo1RYWKgJEyYoLy9PMTExSkxMtO17EBYW5pQ2AAAAAAAAUJLLNxevXbu2Jk2apEmTJpV5vm3btlqxYkW5r/f29lZCQoISEhLKvcYZbQAAAAAAAKAkly61AwAAAAAAgPsiePIQOXl5mrV4uXbu3uPqUgAAAAAAgIcgePIQ327cqrnL3tfLby5zdSkAAAAAAMBDEDx5iFPZOZKkQ0eOurgSAAAAAADgKQiePIS5oECSdCT9uIsrAQAAAAAAnoLgyUOYCwolFc98ysnLc3E1AAAAAADAExA8eQjrjCdJSks/4cJKAAAAAACApyB48hBnB09HjqW7sBIAAAAAAOApCJ48hHWpncQ+TwAAAAAAwDkInjwES+0AAAAAAICzETx5CLP57KV2zHgCAAAAAACOR/DkIQrOWmqXxlI7AAAAAADgBARPHqLE5uIETwAAAAAAwAkInjxEyT2eCJ4AAAAAAIDjETx5iPxzNhc3DMOF1QAAAAAAAE9A8OQhzt5cvKCwUCcyMl1YDQAAAAAA8AQETx7i7KV2Evs8AQAAAAAAx/NxdQFwDvNZT7WTipfbtWzaxEXVAAAAlO/48ePKyspy2dcPDg5WvXr1XPb1AQBwJwRPHsI648nP11fmggIdOZbu4ooAAABKO378uJ55+ulSs7Wdyc/XV88+9xzhEwAAdkDw5CGsN2+XRTTQ3/sPstQOAABUS1lZWTIXFOiW64JVL6TiW9X0zEJ9vilLN18XrLDzXFtZxzML9dmmLGVlZRE8AQBgBwRPHsK61O7yRg319/6DSks/4eKKAAAAylcvxEcN61XuVjXsAq4FAADOxebiHsI64+nyiIaS2FwcAAAAAAA4HsGThyg4a6mdJB05RvAEAAAAAAAci+DJQ5y91E6S0pjxBAAAAAAAHIzgyUOYz5nxdDwjU2az654WAwAAAAAA3B/BkwcoKipSocUiSWpQr658fYs33zx28qQLqwIAAAAAAO6O4MkDWGc7SZKfn59qBQZKknJy81xVEgAAAAAA8AAETx7Aur+TJPn5+ijAz0+SlGc2u6okAAAAAADgAQiePMDZM558fXwU4H86eMoneAIAAAAAAI5D8OQB8k9vIu7n6yuTyST/0zOe8gmeAAAAAACAAxE8eQDrjCc/X19JOjPjiaV2AAAAAADAgQiePMCZ4Kn4aXbWGU95+fkuqwkAAAAAALg/gicPUO6MJ5baAQAAAAAAByJ48gDWp9r5+50OnniqHQAAAAAAcAKCJw9w7ownf382FwcAAAAAAI5H8OQBzg2eAv39JTHjCQAAAAAAOBbBkwcoOL3Uzra5ODOeAAAAAACAE7g8eDp58qSefvppde7cWddcc43uuusubd261XZ+3Lhxat68eYmPzp07284XFRVp9uzZiouLU7t27TRkyBDt3bu3xNfYuXOnBgwYoOjoaHXt2lWJiYklztujjerMbC6e8eTryx5PAAAAAADAeVwePD366KP69ddf9fLLL+v9999X69atdf/992v37t2SpD///FMPPvigfvzxR9vHmjVrbK+fO3euli9frhdeeEErVqyQyWTS0KFDZT4dqpw4cUKDBw9W48aNtWrVKo0cOVKzZs3SqlWr7NpGdcZT7QAAAAAAgCu4NHjau3evfvrpJz3zzDPq0KGDrrrqKo0fP14NGzbUJ598IovFouTkZEVFRSk8PNz2Ua9ePUmS2WzWokWLNHLkSHXp0kUtWrTQzJkzdeTIEa1du1aS9N5778nPz0+TJk1S06ZN1a9fPw0aNEgLFiywWxvV3Zng6fRSu9MznvKZ8QQAAAAAABzIpcFT3bp19cYbb6hNmza2YyaTSYZhKCMjQykpKcrPz1fTpk3LfH1SUpKys7MVGxtrOxYSEqJWrVppy5YtkqStW7cqJiZGPj4+tmtiY2O1Z88epaen26WN6s5s2+OJGU8AAAAAAMB5fM5/ieOEhISoS5cuJY59/vnn2rdvn2688Ubt2rVLJpNJixcv1vr16+Xl5aUuXbpo9OjRql27tlJTUyVJjRo1KtFGgwYNdPjwYUlSamqqIiMjS52XpEOHDtmljbCwsCr13zAM5eTkVOm155Obm2v7M+v01/D2MiknJ0em09dk5+Y67Ot7krPHGo7DODsPY+08jLXzuNtYG4Yhk8l0/gsBAABczKXB07m2bdump556Sj169FD37t01e/ZseXl56dJLL9W8efO0d+9evfTSS9q1a5cWL15su3n0O710zMrf318ZGRmSpLy8vDLPS1J+fr5d2qiqgoIC7dy5s8qvr4yUlBQdPHRIkpSdna2dO3cq/dhRSdLxEycc/vU9SUpKiqtL8AiMs/Mw1s7DWDuPO431ufcmAAAA1VG1CZ6+/vprPf7442rXrp1efvllSdLIkSM1aNAghYSESJIiIyMVHh6u/v376/fff1dAQICk4n2arJ9LxWFQYGCgJCkgIMC2SfjZ5yUpKCjILm1Ula+vr5o1a1bl11ckNzdXKSkpaty4sUJDi8OlBvXrq2XLljp0MkuS5OPjq5YtWzrk63uSs8fa+m8G9sc4Ow9j7TyMtfO421gnJye7ugQAAIBKqRbB09KlSzV58mT17NlT06dPt/0Gz2Qy2UInK+uSt9TUVNvyuLS0NF1xxRW2a9LS0tSiRQtJUkREhNLS0kq0Yf17w4YNVVhYeNFtVJXJZLqo4KoyAgMDVWQYkqSgoEAFBQUpJKS2JKmg0OLwr+9JAgMDGU8nYJydh7F2HsbaedxlrFlmBwAAagqXbi4uScuWLdPzzz+ve+65R6+88kqJaeOPPfaY7r///hLX//7775KkZs2aqUWLFgoODtamTZts5zMzM7Vjxw516NBBkhQTE6Nt27bJYrHYrtmwYYOaNGmisLAwu7RR3ZXaXPz0GOfxVDsAAAAAAOBALg2e9uzZoylTpqhnz54aPny40tPTdfToUR09elSnTp1Snz599NNPP+n111/Xvn379P333+upp55Snz591LRpU/n5+WnAgAGaPn261q1bp6SkJI0ZM0YRERHq2bOnJKlfv37KysrS+PHjlZycrNWrV2vx4sUaPny4JNmljerOXFAgSfLzLZ7gduapdlXfnwoAAAAAAOB8XLrU7ssvv1RBQYHWrl2rtWvXljgXHx+vF198UbNmzdK8efM0b9481a5dW7feeqtGjx5tu27UqFEqLCzUhAkTlJeXp5iYGCUmJtpmToWFhWnhwoWaPHmy4uPjFR4erieeeELx8fF2baM6Cm/YUKdycnUqO1tS8dK6YydOKjevOHCy/gkAAAAAAOAILg2eHnzwQT344IMVXtOrVy/16tWr3PPe3t5KSEhQQkJCude0bdtWK1ascGgb1VGhpUjvf/S5/krZL0n646/deveTL3Uy85QkltoBAAAAAADHcvkeT3A8S1Hx3lTeXsXfbh9vb0lSvrnAZTUBAAAAAAD3R/DkASyWIknFM7skydvH+/RxiwrP2jAdAAAAAADAngiePICl6HTwdM6MJ0nKy2e5HQAAAAAAcAyCJw9gOT2rydu7dPCUzz5PAAAAAADAQQiePMCZGU/FgZPJZLKFUMx4AgAAAAAAjkLw5AGsezx5eZ/5dltnPRE8AQAAAAAARyF48gDnPtVOOvvJdvkuqQkAAAAAALg/gicPcO5T7SRmPAEAAAAAAMcjePIA5z7VTpK8fawzngieAAAAAACAYxA8eYBzn2onMeMJAAAAAAA4HsGTB6hwqR0zngAAAAAAgIMQPHmACjcXZ8YTAAAAAABwEIInN2cYhoqKDEnnLLU7vcdTbj5PtQMAAAAAAI5B8OTmrBuLS5K315mldtZld2wuDgAAAAAAHIXgyc1Z93eSJB82FwcAAAAAAE5E8OTmis6a8eRVxh5PbC4OAAAAAAAcheDJzVk3Fvfy8pLJZLIdZ3NxAAAAAADgaARPbs661O7sjcWlM5uLM+MJAAAAAAA4CsGTm7NuLu7tVfJb7c0eTwAAAAAAwMEIntzcmRlP3iWO+/BUOwAAAAAA4GAET26uvBlPPj4+kpjxBAAAAAAAHIfgyc0Vnd5cvNQeT8x4AgAAAAAADkbw5OZsS+28yl5qx4wnAAAAAADgKARPbs621K6cGU881Q4AAAAAADgKwZObK3+Pp9NL7ZjxBAAAAAAAHITgyc1ZLNY9nkoutfNmxhMAAAAAAHAwgic3d2aPp3KW2jHjCQAAAAAAOAjBk5s77x5P+flOrwkAAHiOrKwsV5fgkRh3AEB1QfDk5oqKynmqnQ9L7QAAgGMdPXpUjz/+uI4ePerqUjwK4w4AqE4IntycbaldOTOeCgoKbftAAQAA2FNubq4Mw1Bubq6rS/EojDsAoDoheHJzlqKKNxeXpPyCAqfWBAAAAAAAPAPBk5uz7fFUzubiEhuMAwAAAAAAxyB4cnPlLbXz8jLZwqd8gicAAAAAAOAABE9uzlLO5uKS5O/nJ4kNxgEAAAAAgGMQPLm5onJmPEmSv5+vJGY8AQAAAAAAxyB4cnO2zcW9ygqemPEEAAAAAAAcx+XB08mTJ/X000+rc+fOuuaaa3TXXXdp69attvM7d+7UgAEDFB0dra5duyoxMbHE64uKijR79mzFxcWpXbt2GjJkiPbu3VviGme0UV3Zltp5l7XUrnjGE5uLAwAAAAAAR3B58PToo4/q119/1csvv6z3339frVu31v3336/du3frxIkTGjx4sBo3bqxVq1Zp5MiRmjVrllatWmV7/dy5c7V8+XK98MILWrFihUwmk4YOHSrz6Vk8zmqjurJtLl7WjCf/4hlP+cx4AgAAAAAADuDjyi++d+9e/fTTT3r33Xd1zTXXSJLGjx+v9evX65NPPlFAQID8/Pw0adIk+fj4qGnTptq7d68WLFigfv36yWw2a9GiRUpISFCXLl0kSTNnzlRcXJzWrl2r3r1767333nN4G9XZmRlPZQRPvqeX2jHjCQAAAAAAOIBLZzzVrVtXb7zxhtq0aWM7ZjKZZBiGMjIytHXrVsXExMjH50w+Fhsbqz179ig9PV1JSUnKzs5WbGys7XxISIhatWqlLVu2SJJT2qjOiip8qt3ppXbMeAIAAAAAAA7g0uApJCREXbp0kd/pTa4l6fPPP9e+fft04403KjU1VRERESVe06BBA0nSoUOHlJqaKklq1KhRqWsOHz4sSU5pozortJzeXLzMp9qdXmqXn+/UmgAAAAAAgGdw6VK7c23btk1PPfWUevTooe7du2vq1KklQilJ8vf3l1QcluTm5kpSmddkZGRIkvLy8hzeRlUZhqGcnJwqv74i1n5Z93gyiopUUFBQ4ho/3+Jvf2ZWtsPq8ATWsbb+CcdgnJ2HsXYextp53G2sDcOQyWRydRkAAADnVW2Cp6+//lqPP/642rVrp5dfflmSFBAQYNvg28oa9AQFBSkgIECSZDabbZ9brwkMDHRaG1VVUFCgnTt3Vvn151O3frgtbMo8dUpHj5b8dnt7Fd+w7j9wwKF1eIqUlBRXl+ARGGfnYaydh7F2Hnca63N/KQYAAFAdVYvgaenSpZo8ebJ69uyp6dOn226kIiIilJaWVuJa698bNmyowsJC27ErrriixDUtWrRwWhtV5evrq2bNmlX59RXJzc1VRla2vE4/za5e3VCFh9cvcU1R+glJUkidULVs2dIhdXiC3NxcpaSkqHHjxrawEvbHODsPY+08jLXzuNtYJycnu7oEAACASnF58LRs2TI9//zzGjhwoJ566ilbUCJJMTExWr58uSwWi7y9izfH3rBhg5o0aaKwsDDVrl1bwcHB2rRpky00yszM1I4dOzRgwACntVFVJpPpomZMnU9GVraKDEOS5OfrJ19f3xLnA/yLAz6LYTi0Dk8RGBjIODoB4+w8jLXzMNbO4y5jzTI7AABQU7h0c/E9e/ZoypQp6tmzp4YPH6709HQdPXpUR48e1alTp9SvXz9lZWVp/PjxSk5O1urVq7V48WINHz5cUvEU8wEDBmj69Olat26dkpKSNGbMGEVERKhnz56S5JQ2qjPrU+3ODvSs/P2K96nKy2NzcQAAAAAAYH8unfH05ZdfqqCgQGvXrtXatWtLnIuPj9eLL76ohQsXavLkyYqPj1d4eLieeOIJxcfH264bNWqUCgsLNWHCBOXl5SkmJkaJiYm25XphYWFOaaO6ss548vIq/ZvRoIDi4CmX4AkAAAAAADiAS4OnBx98UA8++GCF17Rt21YrVqwo97y3t7cSEhKUkJDg0jaqq4pmPAWcfjJfTl6eU2sCAAAAAACewaVL7eB4hnXGUxl7QQQGFM/oIngCAAAAAACOQPDk5oqKrEvtSn+rAwMCJLHUDgAAAAAAOAbBk5ureKnd6RlPucx4AgAAAAAA9kfw5OaKjNPBU1lL7djjCQAAAAAAOBDBkxsrKirS6S2eyllqx1PtAAAAAACA4xA8uTHL6WV2kuTlxYwnAAAAAADgXARPbsxisdg+L3uPJ2Y8AQAAAAAAxyF4cmOFlrNmPJnKX2pXUFgoc0GB0+oCAAAAAACegeDJjRWWmPFUxlK708GTxKwnAAAAAABgfwRPbsy61M5kMslUxlPtfH185OvjI4ngCQAAAAAA2B/BkxuzznjyKiN0srLOemKDcQAAAAAAYG8ET27McnqPp7I2FrcieAIAAAAAAI5C8OTGrEvtytrfySooIEASS+0AAAAAAID9ETy5MdtSuwpmPFmDJ2Y8AQAAAAAAeyN4cmMXtNQul+AJAAAAAADYF8GTG6vM5uJBgSy1AwAAAAAAjkHw5MYsRZWf8ZTLUjsAAAAAAGBnBE9u7EI2F89mqR0AAAAAALAzgic3dmap3fk3F2epHQAAAAAAsLcqBU9btmxRdnZ2mecyMzP16aefXlRRsI/KPNXuzFI7gicAAAAAAGBfVQqe7r33Xu3evbvMczt27NC4ceMuqijYx5mn2p1/c/Ec9ngCAAAAAAB25lPZC8eOHavDhw9LkgzD0KRJkxQcHFzqupSUFNWvX99+FaLKLBew1I7gCQAAAAAA2FulZzz16tVLhmHIMAzbMevfrR9eXl6Kjo7W1KlTHVIsLkxhJWY8WZfa5bC5OAAAAAAAsLNKz3jq3r27unfvLkkaOHCgJk2apKZNmzqsMFw8SyX2eLIutWOPJwAAAAAAYG+VDp7O9vbbb9u7DjhAZTYXP/NUO2Y8AQAAAAAA+6pS8JSbm6t58+bp22+/VW5uroqKikqcN5lM+vrrr+1SIKrOOuPJu6Kldv7FS+2yCZ4AAAAAAICdVSl4mjx5slatWqWOHTuqZcuWFc6ogesUVmZzcZbaAQAAAAAAB6lS8PTVV19pzJgxGjZsmL3rgR1ZTs9EM1Vic3GCJwAAAAAAYG9VmqpUWFiotm3b2rsW2FmlNhc/vccTT7UDAAAAAAD2VqXg6cYbb9T69evtXQvsrNBSPOPJuzJL7fLzZRiGU+oCAAAAAACeoUpL7W655RY988wzOn78uNq1a6fAwMBS19x2220XWxsu0pkZT+dfamcYhvLyzba/AwAAAAAAXKwqBU+jR4+WJK1Zs0Zr1qwpdd5kMhE8VQOFlVhqZ32qnSTl5OURPAEAAAAAALupUvC0bt06e9cBB7BtLm4qf8aTl5eXAv39lZufr5y8PIWpjrPKAwAAAAAAbq5KwdOll15q7zrgANaldt4VzHiSipfb5ebn82Q7AAAAAABgV1UKnubMmXPea0aMGFGVpmFHlVlqJxVvMH48I5Mn2wEAANRww4cPt30+efJkF1YCAKhO5s+f77KvbffgKTg4WA0aNCB4qgasT7WraHNxSQoKOP1kuzyCJwAAgJrq7NAJAICzDR8+XDNnznTJ1654Kkw5kpKSSn38/PPPWrBggerUqaOJEydWqZi5c+dq4MCBJY6NGzdOzZs3L/HRuXNn2/mioiLNnj1bcXFxateunYYMGaK9e/eWaGPnzp0aMGCAoqOj1bVrVyUmJpY4b482qiNLJWc8WTcUz2GpHQAAQI1E6AQAOJ8xY8a45OtWKXgqS1BQkOLi4vTwww/r//7v/y749W+99ZZmz55d6viff/6pBx98UD/++KPt4+wn6c2dO1fLly/XCy+8oBUrVshkMmno0KEym82SpBMnTmjw4MFq3LixVq1apZEjR2rWrFlatWqVXduojmxL7SrYXFw6M+OJpXYAAAA1D6ETAKCy3njjDad/zSottatIo0aNtHv37kpff+TIEY0fP17btm1TkyZNSpyzWCxKTk7WQw89pPDw8FKvNZvNWrRokRISEtSlSxdJ0syZMxUXF6e1a9eqd+/eeu+99+Tn56dJkybJx8dHTZs21d69e7VgwQL169fPLm1UVxbbUrvKzXhiqR0AAHCEw4cPO+RaR6psHbm5uTp27Jj279+vwMBAB1cFAEDNY7fgyTAMHT58WAsWLLigp9798ccfqlOnjj766CO99tprOnjwoO1cSkqK8vPz1bRp0zJfm5SUpOzsbMXGxtqOhYSEqFWrVtqyZYt69+6trVu3KiYmRj4+Z7oaGxur+fPnKz09XQcPHrzoNsLCwirdX2eq7FI724wngicAAOAAixYtcnUJF6wm1gwAQHVUpeCpRYsWMpWzfMswjAtaate9e3d17969zHO7du2SyWTS4sWLtX79enl5ealLly4aPXq0ateurdTUVEnFs6zO1qBBA9tvqVJTUxUZGVnqvCQdOnTILm1U1+Cp0kvtAq3BE3s8AQAA+xsyZEipe63yHD58uFqEPpWtOTc3VykpKWrcuLHLZjzx9DoAQHVWpeDp4YcfLjN4Cg4OVteuXdW4ceOLrUuS9Ndff8nLy0uXXnqp5s2bp7179+qll17Srl27tHjxYuXm5kqS/Pz8SrzO399fGRkZkqS8vLwyz0tSfn6+XdqoKsMwlJOTU+XXVyQ3N9e21M4wDBUUFJS6xmKxKCcnR74+3pKkzFNZDqvHnVn/DVn/hGMwzs7DWDsPY+087jbWhmGU+0vA6qhRo0a64oorXF3GBalszTk5OcrKytLll1+uoKAgJ1QGAEDNUqXgaeTIkfauo9yvM2jQIIWEhEiSIiMjFR4erv79++v3339XwOklYmaz2fa5VBwGWX/jFBAQYNsk/OzzUvGG6PZoo6oKCgq0c+fOKr/+fKwznrKzsnX06LFS57Ozs3Vgb4qys05Jkg4eOuzQetxdSkqKq0vwCIyz8zDWzsNYO487jfW5vxSD55o/fz4bjAMAKmXYsGFO/5pV3uPJbDZr9erV2rRpkzIzM1W3bl116NBB8fHxttlAF8tkMtlCJyvrkrfU1FTb9Oe0tLQSv5FKS0tTixYtJEkRERFKS0sr0Yb17w0bNlRhYeFFt1FVvr6+atasWZVfX5Hc3FxZiopnPNWpE6Lw8PqlrqlVq5Yiwuvr8h3JkqTAoCC1bNnSIfW4s+owxd4TMM7Ow1g7D2PtPO421snJya4uAdUM4RMA4HxmzpzpkskmVQqeMjMzde+99yopKUmXXHKJwsPDtWfPHn3yySd65513tGzZMtWuXfuii3vsscd08uRJJSYm2o79/vvvkqRmzZrp8ssvV3BwsDZt2mQLjTIzM7Vjxw4NGDBAkhQTE6Ply5fLYrHI27t4SdmGDRvUpEkThYWFqXbt2hfdRlWZTCaHTsm2bi7u6+srX1/fUue9vb0VFBSkOiHF3ytzoYUp4hchMDCQ8XMCxtl5GGvnYaydx13GuiYts4PzED4BAMozf/58l22tU6XgacaMGUpNTdXSpUvVoUMH2/GtW7dq1KhRmjVrliZMmHDRxfXp00f/+c9/9Prrr6t3797as2ePnnvuOfXp08f2pLsBAwZo+vTpqlevni699FJNmzZNERER6tmzpySpX79+WrhwocaPH68HHnhAv/32mxYvXqxnn31WUvE09Ytto7qybS7udZ7NxXmqHQAAgFuYP3++9u3bp8mTJ2v8+PEO2VsrJydHO3fuVMuWLd0iyK0sT+w3ffaMPkue2W9P7LOrVCl4WrdunUaPHl0idJKkDh06aNSoUZo7d65dgqdu3bpp1qxZmjdvnubNm6fatWvr1ltv1ejRo23XjBo1SoWFhZowYYLy8vIUExOjxMRE274HYWFhWrhwoSZPnqz4+HiFh4friSeeUHx8vF3bqI4stuDJq8zzJpNJx06ctAVUmaeydOzESdv5AH8/BfN/QAAAAAAAUEVVCp6ys7N1+eWXl3nu8ssv18mTJ6tUzIsvvljqWK9evdSrV69yX+Pt7a2EhAQlJCSUe03btm21YsUKh7ZRHRWeJ3jKN5u16stvlHLgsCTp4JGjeveTL23n7+rTi+AJAAAAAABUWdmJxHlcddVV+vbbb8s8t27dOl155ZUXVRTsw2Ip3lzc6zz7QPj6FuePBac3WgcAAAAAALCHKs14uv/++/Xoo4/KbDbr1ltvVf369XXs2DF9/PHHWrlypSZNmmTnMlEVtuCpnBlPVj4+xRumEzwBAAAAAAB7qlLwdMsttyglJUXz5s3TypUrbcd9fX318MMPq3///nYrEFVX2c3FfX2sM54sDq8JAAAAAAB4jioFTzk5OXrooYc0YMAAbd++XRkZGTp8+LD69++vOnXq2LtGVJEteDJVPOPpTPBUIMMweEQzAAAAAACwiwva42nnzp267bbb9NZbb0mSQkJC1LlzZ3Xu3FmvvPKK7r77bu3evdsRdaIKzvdUOyt/P19JUlGRYQurAAAAAAAALlalg6f9+/dr0KBBysjIULNmzUqc8/Pz01NPPaXs7GzdfffdSk1NtXuhuHDWEMm7EkvtrLOc8s0FDq8LAAAAAAB4hkoHT2+88Ybq1q2rDz74QDfddFOJc4GBgRowYIBWrVqloKAgzZs3z+6F4sJZioo3FzedZ8aTyWSyzXrKN5sdXhcAAAAAAPAMlQ6eNmzYoAceeEChoaHlXhMWFqbBgwdrw4YN9qgNF8m21K4Sezb5+/lJIngCAAAAAAD2U+ng6ejRo7ryyivPe11kZCRL7aqJQkvxjKfz7fEkSQHW4CmfpXYAAAAAAMA+Kh081atXT2lpaee97vjx4xXOioJzGIahotNL7bwrETxZl9rlMeMJAAAAAADYSaWDp5iYGK1evfq8161Zs0YtW7a8qKJw8QoLzzydzus8m4tLLLUDAAAAAAD2V+ngaeDAgdq0aZNefPFF5efnlzpvNpv10ksv6YcfftA999xj1yJx4QqLzgRPJlMlZjz5W4MnltoBAAAAAAD78KnshVFRURo3bpymTJmiDz/8UNdff70uu+wyWSwWHTp0SJs2bdKJEyf0yCOPKC4uzpE1oxLOnvHkXakZTzzVDgAAAAAA2FelgydJuueee9SiRQslJiZq3bp1tplPtWrV0o033qghQ4aoXbt2DikUF6bQcvZSu8rs8cRSOwAAAAAAYF8XFDxJ0rXXXqtrr71WknTixAl5eXmpTp06di8MF8c648lkkkym8894sj7VLo+ldgAAAAAAwE4uOHg6W926de1VB+ys0FIoSfKqxP5O0llL7fKZ8QQAAAAAAOyj0puLo2axzXiqxP5OEkvtAAAAAACA/RE8uSlLUZGkC5nxRPAEAAAAAADsi+DJTVlnPHlVcsZTgP+ZPZ4Mw3BYXQAAAAAAwHMQPLkp2x5PlXiinXRmj6eioqIST8QDAAAAAACoKoInN2Wb8VSJJ9pJkq+Pj+3pd/k82Q4AAAAAANgBwZObss5aquyMJ5PJdObJduzzBAAAAAAA7IDgyU0VWqybi1duxpPEBuMAAAAAAMC+CJ7c1IXu8SRJAdbgKZ+ldgAAAAAA4OIRPLmpC32qnXRmg/E8ZjwBAAAAAAA7IHhyU7Y9nkyV/xaz1A4AAAAAANgTwZObutDNxSXJ398aPLHUDgAAAAAAXDyCJzdlsVR9qR0zngAAAAAAgD0QPLkp2x5PPNUOAAAAAAC4CMGTm6rKUjvrU+3yWGoHAAAAAADsgODJTRWy1A4AAAAAALgYwZObOrPUjqfaAQAAAAAA1yB4clOFlkJJF/hUO2vwlE/wBAAAAAAALh7Bk5uyWIokSaYL2ly8eKldnrlAhmE4pC4AAAAAAOA5CJ7cVEEV9niybi5eVFRk2yMKAAAAAACgqgie3JRtj6cLWGrn6+tjmyGVz5PtAAAAAADARSJ4clO2PZ4uYKmdyWTiyXYAAAAAAMBuqlXwNHfuXA0cOLDEsZ07d2rAgAGKjo5W165dlZiYWOJ8UVGRZs+erbi4OLVr105DhgzR3r17nd5GdVOVGU8ST7YDAAAAAAD2U22Cp7feekuzZ88ucezEiRMaPHiwGjdurFWrVmnkyJGaNWuWVq1aZbtm7ty5Wr58uV544QWtWLFCJpNJQ4cOlfl0cOKsNqobS1Hx5uIXsseTdGaD8fx8ltoBAAAAAICL4+PqAo4cOaLx48dr27ZtatKkSYlz7733nvz8/DRp0iT5+PioadOm2rt3rxYsWKB+/frJbDZr0aJFSkhIUJcuXSRJM2fOVFxcnNauXavevXs7pY3qyDbjyVS1GU95zHgCAAAAAAAXyeUznv744w/VqVNHH330kdq1a1fi3NatWxUTEyMfnzP5WGxsrPbs2aP09HQlJSUpOztbsbGxtvMhISFq1aqVtmzZ4rQ2qiPbHk8XOOMpwP908JRP8AQAAAAAAC6Oy2c8de/eXd27dy/zXGpqqiIjI0sca9CggSTp0KFDSk1NlSQ1atSo1DWHDx92WhthYWGV6GlphmEoJyenSq89H2twZBhSQUE5y+bKOOfvW7zULjs3RxaLxWH1uZPc3NwSf8IxGGfnYaydh7F2Hncba8MwbE+iBQAAqM5cHjxVJC8vT36nl35Z+fv7S5Ly8/NtN49lXZORkeG0NqqqoKBAO3furPLrK2Kt3Zyfr6NHj5V5jcViKXWuqLB4ptSJk5nKzs7Wgb0pDqnPHaWkpLi6BI/AODsPY+08jLXzuNNYn3tvAgAAUB1V6+ApICDAtsG3lTXoCQoKUkBAgCTJbDbbPrdeExgY6LQ2qsrX11fNmjWr8usrEhC4TlJxfeHh9cu8xtvbu9S5oxmnpD37JJNJtWrVUkQ5r8UZubm5SklJUePGjW3/ZmB/jLPzMNbOw1g7j7uNdXJysqtLAAAAqJRqHTxFREQoLS2txDHr3xs2bKjC07Nz0tLSdMUVV5S4pkWLFk5ro6pMJtNFBVeV4evjLd/Ty+dKF6BS54JrFdeTby6Qt7e3w+tzJ4GBgYyXEzDOzsNYOw9j7TzuMtYsswMAADWFyzcXr0hMTIy2bdsmi8ViO7ZhwwY1adJEYWFhatGihYKDg7Vp0ybb+czMTO3YsUMdOnRwWhvVke2pdl4X9i0OOL2EMPcilhACAAAAAABI1Tx46tevn7KysjR+/HglJydr9erVWrx4sYYPHy6peG+DAQMGaPr06Vq3bp2SkpI0ZswYRUREqGfPnk5rozoqtFiDpwv7jWhgQHHwlEfwBAAAAAAALlK1XmoXFhamhQsXavLkyYqPj1d4eLieeOIJxcfH264ZNWqUCgsLNWHCBOXl5SkmJkaJiYm2DTed1UZ1YwueTBeWLQZaN003F9iWIQIAAAAAAFRFtQqeXnzxxVLH2rZtqxUrVpT7Gm9vbyUkJCghIaHca5zRRnVT9aV2fjKZJMOQTp7KYnNxAAAAAABQZdV6qR2qzjrjyXSBS+1MJpMC/IpnPZ3MPGX3ugAAAAAAgOcgeHJTZ5baXfhTb6z7PJ3MzLJrTQAAwLMEBgbKZDIpMDDQ1aV4FMYdAFCdVKuldrCfM5uLX3i2GOBfvLfVyVPMeAIAAFUXHh6u6dOnKzg42NWleBTGHQBQnTDjyU1VdY8n6cyMpxMstQMAABeJ8MM1GHcAQHVB8OSmLmqp3ekn22WcYqkdAAAAAACoOoInN2WxLbW7mD2emPEEAAAAAACqjuDJTZ2Z8VSVPZ4IngAAAAAAwMUjeHJT9tjjieAJAAAAAABcDIInN1V4MUvtTs94OsEeTwAAAAAA4CIQPLmpwsJCScx4AgAAAAAArkPw5KYu5ql21j2eMk9lqaioyK51AQAAAAAAz0Hw5KYsluLA6GKW2hUZhjKysu1aFwAAAAAA8BwET27qYp5q5+3tJT9fX0nS8ZOZdq0LAAAAAAB4DoInN2QYxlmbi1ftW2zd5+lERobd6gIAAAAAAJ6F4MkNWUMnqWpL7SQpwN9PknQ8gxlPAAAAAACgagie3FBh4VnBUxWW2kln9nkieAIAAAAAAFVF8OSGLGfNeDJVccaTdakdwRMAAAAAAKgqgic3VGCxw4wn2x5Pp+xSEwAAAAAA8DwET26osLBQkmQymaq8x9OZpXZsLg4AAAAAAKqG4MkNWfd48vau+rf3zIwnltoBAAAAAICqIXhyQ9an2vl4e1e5DeuMp2MnmPEEAAAAAACqhuDJDVmDJ2+vqn97g2sFSZIOHjkqwzDsUhcAAAAAAPAsBE9u6MxSu6rPeKoTHCxJysrJ0clTWXapCwAAAAAAeBaCJzdUaCneXPxiltr5+Hirft1QSdL+Q6n2KAsAAAAAAHgYgic35ufrc1Gvv6RBuCRpf+oRe5QDAAAAAAA8DMGTG4psfIX+1aOz7u5z00W1c2nD4uBp3yGCJwAAAAAAcOEIntyQt7e3Jo14QD1v6HhR7VzSkBlPAAAAAACg6gieUC7rjKf9h9njCQAAAAAAXDiCJ5SLpXYAAAAAAOBiEDyhXJee3lz8SPpx5ZvNLq4GAAAAAADUNARPKFdoSG0FBQbIMAwdSD3q6nIAAAAAAEANQ/CEcplMJl0e0VCSdIANxgEAAAAAwAUieEKFrrikOHjaxwbjAAAAAADgAhE8oULWGU/7DzPjCQAAAAAAXBiCJ1To8kYRkqR9BE8AAAAAAOACETyhQtaldgcIngAAAAAAwAWqEcHTwYMH1bx581IfK1eulCTt3LlTAwYMUHR0tLp27arExMQSry8qKtLs2bMVFxendu3aaciQIdq7d2+Ja+zRhjuyLbVLPSLDMFxcDQAAAAAAqElqRPD0559/yt/fXz/88IN+/PFH28ett96qEydOaPDgwWrcuLFWrVqlkSNHatasWVq1apXt9XPnztXy5cv1wgsvaMWKFTKZTBo6dKjMZrMk2aUNd3VJw3B5eXkpL9+stOMnXF0OAAAAAACoQWpE8LRr1y41adJEDRo0UHh4uO0jICBA7733nvz8/DRp0iQ1bdpU/fr106BBg7RgwQJJktls1qJFizRy5Eh16dJFLVq00MyZM3XkyBGtXbtWkuzShrvy9fHRJQ3qS5JSDhxycTUAAAAAAKAmqRHB059//qlmzZqVeW7r1q2KiYmRj4+P7VhsbKz27Nmj9PR0JSUlKTs7W7GxsbbzISEhatWqlbZs2WK3NtxZq6ZNJEm/79rt4koAAAAAAEBNUiOCp127dik9PV133323brjhBt1111364YcfJEmpqamKiIgocX2DBg0kSYcOHVJqaqokqVGjRqWuOXz4sN3acGdRzYtDv9+S/nJxJQAAAAAAoCbxOf8lrmU2m5WSkqLAwEA98cQTCgoK0kcffaShQ4fqzTffVF5envz8/Eq8xt/fX5KUn5+v3NxcSSrzmoyMDEmySxtVYRiGcnJyqvz6ilhrLigorKAAqaCgoNzTFotFOTk5atHkCkn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+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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ttlVYLqZ///46e/asXnnlFUVFRdmLd5amadOmCg8P19GjR9WqVSv7V2RkpKZOnapdu3ZJUrHkjVR4QbdgwQINHTpUU6dO1cGDBx1WySnJFVdcoWPHjl3yfhw8eFBpaWm6//77dfXVV9tvf8OGDZJkH2JvNpvVuXNnff311/rf//6nG264QVLhX4s3btyorVu3FptyJ0nJycmSxAUTAMDleF+/tC+++EInTpzQPffcI6kwYXJ+EuTEiRP2RMv596tVq1Zq0KCBJGnOnDmaP3++Q7tvv/22QkND7dcHX3zxhZ555hn79H1JWrFihdLT04tNjbOZNWuWunfvbh9xFR4ebo/NlhC7cLSQje3xWrt2rcP2adOm6cUXX7xUt9h9/fXXDv//4osvdMUVV9hrd5V0zJdffimTyaSOHTuW+XnRqVMnbdiwQdnZ2fZ2Nm7c6NBfNoZh6Pjx4yUm3YCagJFPAGq8WrVqadiwYZo+fbqCgoLUsWNHrV+/vkwXqQ0bNtSNN96o77777qI1CGxsRTyfffZZ+fr6qkePHkpPT9fs2bN1/Phx+4WW7S9ma9asUdeuXdW4cWNNmDBBTZo00SOPPCJ/f3/df//9WrRokW6++Wa1adOmxNvr3Lmz3nvvPRmGUWLRcZsmTZooJCTEXjjTz89PX375pf2vnedfFNlWjQkODlarVq0kSTfccIOWLl1qT05daPv27WrUqJGaNGlyyT4CAKAieF+/uLy8PE2bNk0jR460j7Lq0qWLJk2apMWLF0sqTPJcqqj1fffdp+eee07NmzdX+/bt9dlnn2n16tWaNGmSvWj6XXfdpQ8++EATJkzQ3/72N+3du1cJCQnq27dviaOQkpKSHGpOSoW1qp599ll17dpVa9euVWxsbKl1r2JjY/WnP/1JCQkJysnJUcuWLfXdd99pzZo1mj59epn76O2331ZgYKDatm2rr776St98802x1RJ//fVXjRkzRn/961+1d+9ezZw5U//3f/9nL4ZelufF8OHDtXbtWj300EN6+OGHdfr0aU2bNs1hCqLN3r17dfbsWcXHx5f5fgDVCcknAF5hyJAhCg4O1pIlS7RkyRK1a9dO48eP16RJky55bo8ePbRp06Yyr6Dy97//XbVq1dLChQu1fPlyBQcHq3379kpISLBfsNxwww268cYbNXXqVG3evFnNmzfXwYMH9f7779svFEeOHKmvvvpK48eP18cff6yAgIBit9W7d2/NmjVLO3fuVOvWrUuNqXbt2po9e7Zee+01Pf7446pVq5auueYaLV26VIMHD9a2bdvstSi6desmk8mk9u3b2wttXn/99TKZTLr++utLXKVn48aN+tOf/lSm/gEAoKK8/X39YpYvXy5/f3/95S9/sW+LjIzUyy+/rISEBPn6+uq1116zj3AqzZ133qmcnBwtXbpU8+fPV5MmTTR16lTdeuut9mOio6M1b948TZ06VUOHDtVll12moUOHasiQISW2+frrr+uOO+5wGGH0pz/9Sb/++queeeYZNWrUSAkJCRdNvE2ZMkVvvvmm3n33XZ0+fVpNmjTR9OnTy3Ud8tRTT+mjjz7SvHnz1LRpU82cObNY4fkHHnhAx48f12OPPaa6desWu19leV5ERUVp6dKlevXVVzV69GiFh4dr/PjxevXVV4vFtGHDBkVERKh9+/Zlvh9AdWIybFVmAQAlGjx4sHx9fTV37lx3h1KioUOHql69esWWiq4qP/74ox5++GGtXbu2WHFOAAA8De/r3mvLli26//779c4779inDpYkJibGXni9KhiGod69e+vee+/VwIEDq+Q2gapGzScAKMWsWbM0ZswYbdiwQQ899JC7wynV6NGj9eWXX+qPP/5wy+0vWLBADzzwAIknAIBH430dnurzzz9XQUGB7rrrLneHArgMyScAKMXXX3+tb7/9VmPHjlVcXJy7wylVTEyMhgwZooSEhCq/7Y0bNyo5ObnK/jIIAICzeF+HJ7JYLJo2bZr++c9/KjAw0N3hAC7DtDsAAAAAAAC4DCOfAAAAAAAA4DIknwAAAAAAAOAyfu4OwFv99NNPMgxDZrPZ3aEAAIBqxmq1ymQyqV27dhVqh+sRAABQEWW9JmHkk5sYhiHKbTnPMAxZLBb6sILox4qjDysH/Vhx9GHFVac+rKzrCK5HSladngs1GY+D+/EYeAYeB/fjMShdWa8lGPnkJra/MLZq1crNkVRPWVlZ2r17t5o3b67g4GB3h1Nt0Y8VRx9WDvqx4ujDiqtOfbhz585KaYfrkZJVp+dCTcbj4H48Bp6Bx8H9eAxKV9ZrEkY+AQAAAAAAwGVIPgEAAAAAAMBlSD4BAAAAAADAZUg+AQAAAAAAwGVIPgEAAAAAAMBlSD4BAAAAAADAZUg+AQAAAAAAwGVIPgEAAAAAAMBlSD4BAAAAAADAZUg+AQAAAAAAwGVIPgEAAAAAAMBlSD4BQAWdTs/Qko8+VVr6WXeHAgAAAAAex8/dAQBAdffvdRv1zdaf5Wc2a/D/3e7ucAAAAADAozDyCQAqaM+hw5Kk9IxMN0cCAAAAAJ6H5BMAVMCptHQdO3lKkpRrsbg5GgAAAADwPCSfAKACft6zz/6zxZrnxkgAAAAAwDORfAKACvhp9/nJJ6sbIwEAAAAAz0TyCQAq4GeSTwAAAABwUSSfAMBJWTk52nMwyf5/i4XkEwAAAABciOQTADjp1z37lZefb/8/I58AAAAAoDiSTwDgpO3/2y1J8vP1lUTyCQAAAABKQvIJAJy04397JElXX3mFJCmXaXcAAAAAUAzJJwBwgmEY9pXuWja9ShIjnwAAAACgJCSfAMAJVmueMrOyJUmX1w+XJFmsee4MCQAAAAA8EsknAHDC+aOcggICim0DAAAAABQi+QQATrDknRvlFBTgL4maTwAAAABQEpJPAOAEa9EoJ18fH/mbzZIY+QQAAAAAJfFzdwAAUB3ZRj6ZzX4y+/lKOpeQAgAAcNapU6eUkZHh7jAkSdnZ2Tp58qSOHDmioKAgd4dzSSEhIapXr567wwBQApJPAOAEi6Uo+eTnJ7+i5BPT7gAAQEWcOnVKzz37LKOpneRvNuv5F14gAQV4IJJPAOAEa17hRaG/2Syzb+FLKReKAACgIjIyMmSxWvXnG0JUL9TzPqqlpufp8y0ZuuWGEIV7WHyn0vP02ZYMZWRkkHwCPJBnvWIAQDVhsdpGPvnKbC4c+ZRfUKD8/Hz5+vq6MzQAAFDN1Qv1U4N6nvtRLdzD4wPgedxecDw1NVVjx45Vx44d1a5dOz3yyCPav3+/ff/u3bs1YMAAtW3bVt27d9eiRYsczi8oKNDMmTMVHx+vNm3aaNCgQUpKSnI4piraAOBdrPaaT+dGPknnklIAAAAAgEJuTz49+uijOnLkiBYsWKB///vfCgwM1MCBA5Wdna3Tp0/rwQcfVFRUlFasWKERI0ZoxowZWrFihf382bNna9myZZo8ebKWL18uk8mkwYMHy2KxSFKVtQHAu9im2J1f80mScoteNwAAAAAAhdw6VvL06dNq1KiRHn30UV199dWSpGHDhumvf/2rfvvtN23evFn+/v6aNGmS/Pz81KxZMyUlJWnBggXq37+/LBaLFi9erLFjx6pbt26SpGnTpik+Pl5r1qxR37599cEHH7i8DQDex5Z88jf7ydfHRyaTSYZhMPIJAAAAAC7g1uRT3bp19frrr9v/f/LkSS1atEiRkZFq3ry53njjDcXFxcnP71yYHTt21Lx585Samqrff/9dmZmZ6tixo31/aGioWrRooa1bt6pv377atm2by9sIDw936v4bhqGsrCynzvV22dnZDt/hHPrReRkZmZJkTzz5m/2Ua7Eq/Wy6QoIC3Bxd9cNzseLow4qrTn1oGIZMJpO7wwAAACgTj6kS98wzz9hHGM2ZM0fBwcFKTk5WdHS0w3H169eXJP3xxx9KTk6WJDVs2LDYMceOHZOkKmnD2eST1WrV7t27nToXhRITE90dQo1AP5ZfYmJhXbj8otpPvj6+kqzavWevzqSedGNk1RvPxYqjDyuuuvShv7+/u0MAAAAoE49JPj3wwAO688479f7772v48OF67733lJOTU+zCKiCgcERBbm6u/S+TJR1z5swZSaqSNpxlNpvVvHlzp8/3ZtnZ2UpMTFRUVJSCgoLcHU61RT867+DxU5Kk2rVDJEmBAf7KyslRo8ZXKqbJle4MrVriuVhx9GHFVac+PH9xFgAAAE/nMcknWxLmxRdf1M8//6ylS5cqMDDQXvTbxpbsCQ4OVmBgoCTJYrHYf7YdY7torIo2nGUymSp0PqSgoCD6sBLQj07wKVyvIbAoMR1Q9N3X15e+rACeixVHH1ZcdehDptwBAIDqxK2r3aWmpmr16tXKz8+3b/Px8VGzZs2UkpKiyMhIpaSkOJxj+3+DBg3sU+VKOiYyMlKSqqQNAN7HWlRY3Gw2SyosPC6dK0QOAAAAACjk1uRTSkqKnnjiCf3444/2bVarVbt27VKzZs0UFxen7du3OySnNm/erCZNmig8PFyxsbEKCQnRli1b7PvT09O1a9cudejQQZKqpA0A3seWZDIXLUTgX5SEyrWQfAIAAACA87k1+RQbG6suXbro+eef17Zt27Rv3z6NHz9e6enpGjhwoPr376+MjAxNnDhR+/fv18qVK7VkyRINGTJEUmGdpgEDBighIUHr1q3Tnj17NHr0aEVGRqpXr16SVCVtAPA+1qJC47YRT2ZGPgEAAABAidxa88lkMmn69OmaOnWqRo0apbNnz6pDhw7617/+pcsvv1yStHDhQr300kvq16+fIiIiNG7cOPXr18/exsiRI5WXl6enn35aOTk5iouL06JFi+wFwsPDw6ukDQDe5cKRTwFFI58sRdPxAAAAAACF3F5wvHbt2po0aZImTZpU4v7WrVtr+fLlpZ7v6+ursWPHauzYsaUeUxVtAPAutpFPZkY+AQAAAMBFuXXaHQBUV7YRTsVqPlktpZ4DAAAAAN6I5BMAOMG22p0t6eRflISyWJh2BwAAAADnI/kEAE6wTa+zFRz39zc7bAcAAAAAFCL5BABOsNV88rtg2h3JJwAAAABwRPIJAJxgH/lUlHyy1X4i+QQAAAAAjkg+AYATbEkm2yp3AbZpdxaSTwAAAABwPpJPAOAEe8HxYtPuKDgOAAAAAOcj+QQATrAlmfwumHaXa7W4LSYAAAAA8EQknwDACbaC47YRT4x8AgAAAICSkXwCACfYaz75+UqS/P1Z7Q4AAAAASkLyCQCcUHzkU9FqdxQcBwAAAAAHJJ8AwAnnRj4VFRy313wi+QQAAAAA5yP5BABOsK12Zy4a8WQuGgFlJfkEAAAAAA5IPgGAE2yFxW0jnwKo+QQAAAAAJSL5BABOOFfzqWjkU1ESitXuAAAAAMARyScAcIJthJM1L191L4tQfkGBJCkzO1snT6fp5Ok0ZWRluTNEAAAAAPAIfu4OAACqI9vIp8/Wfy9LTo6shiFJOnk6Te+v/lKSdPetfRQSHOy2GAEAAADAEzDyCQCcYBv55Otb+DLq4+MrScrPL3BbTAAAAADgiUg+AUA5GYZhX+3Ox6fwZdS36Ht+fr7b4gIAAAAAT0TyCQDKyTblTjqXdLKNgLLVfgIAAAAAFCL5BADldP6KdvaRT75MuwMAAACAkpB8AoBychz55Fv03TbyiWl3AAAAAHA+kk8AUE62YuM+JpN8fEySziWfCgoMGUUr3wEAAAAASD4BQLnZio2bzWb7NlvNJ4mpdwAAAABwPpJPAFBOtpFPZj9f+zbb9DuJqXcAAAAAcD6STwBQTraaT2azn32bbfqdxMgnAAAAADgfyScAKCf7yCffc8knk8lkr/uUl8/IJwAAAACwIfkEAOV0ruaTn8N2X9/CqXf5BYx8AgAAAAAbkk8AUE6WEgqOS+eKjjPtDgAAAADOIfkEAOVkr/l0XsFxSfZpd/lMuwMAAAAAO5JPAFBO51a7u3DkE9PuAAAAAOBCbk8+paWl6dlnn1XXrl3Vvn173X333dq2bZt9/5NPPqmYmBiHr65du9r3FxQUaObMmYqPj1ebNm00aNAgJSUlOdzG7t27NWDAALVt21bdu3fXokWLHPZXRhsAvEepI598GfkEAAAAABdye/LpH//4h3755Re9/vrr+ve//62WLVvqoYce0oEDByRJe/fu1dChQ/Xdd9/Zv1atWmU/f/bs2Vq2bJkmT56s5cuXy2QyafDgwbJYLJKk06dP68EHH1RUVJRWrFihESNGaMaMGVqxYkWltgHAe9hHPl1YcNyHkU8AAAAAcCG3Jp+SkpL0/fff67nnnlOHDh3UtGlTTZw4UQ0aNNDq1auVn5+v/fv3q1WrVoqIiLB/1atXT5JksVi0ePFijRgxQt26dVNsbKymTZum48ePa82aNZKkDz74QP7+/po0aZKaNWum/v37a+DAgVqwYEGltQHAu9hXu/O7cLU7Rj4BAAAAwIX8Ln2I69StW1fz58/Xtddea99mMplkGIbOnDmjxMRE5ebmqlmzZiWev2fPHmVmZqpjx472baGhoWrRooW2bt2qvn37atu2bYqLi5PfeR8SO3bsqHnz5ik1NVW///57hdsIDw936v4bhqGsrCynzvV22dnZDt/hHPrRORmZhb+3fr6+9kSU1ZonH5NJkmSxWGW1WpWfn8/veBnxXKw4+rDiqlMfGoYhU9FrDgAAgKdza/IpNDRU3bp1c9j2+eef6/Dhw+rSpYv27dsnk8mkJUuWaMOGDfLx8VG3bt00atQo1a5dW8nJyZKkhg0bOrRRv359HTt2TJKUnJys6OjoYvsl6Y8//qiUNpxNPlmtVu3evdupc1EoMTHR3SHUCPRj+Rw5elSSZFJh3ToVfbeNeEo7c0YnTgQqMzNTR5MS3RNkNcVzseLow4qrLn3o7+/v7hAAAADKxK3Jpwtt375dTz31lG666Sb17NlTM2fOlI+Pj6644grNnTtXSUlJ+uc//6l9+/ZpyZIl9r9MXnjxFRAQoDNnzkiScnJyStwvSbm5uZXShrPMZrOaN2/u9PneLDs7W4mJiYqKilJQUJC7w6m26Efn/LjnoCQpKChQYWFhSktLU1hYmIICAyVJwcHBioi4TLVq1VJkxGXuDLXa4LlYcfRhxVWnPty/f7+7QwAAACgzj0k+rV27VmPGjFGbNm30+uuvS5JGjBihgQMHKjQ0VJIUHR2tiIgI3Xnnndq5c6cCiz7oWSwW+89SYULIdtEYGBhoLxx+/n6p8ANiZbThLJPJVKHzIQUFBdGHlYB+LB+jaKqLv9lsLzpuNvudqwFlMslsNsvX15d+LSeeixVHH1ZcdehDptwBAIDqxO2r3UnS0qVLNWLECHXt2lULFiywJ4FMJpM98WRjm/6WnJxsnyqXkpLicExKSooiIyMlSZGRkSXul6QGDRpUShsAvAsFxwEAAACg7NyefHrvvff04osv6t5779X06dMdprc98cQTeuihhxyO37lzpySpefPmio2NVUhIiLZs2WLfn56erl27dqlDhw6SpLi4OG3fvt3hw+DmzZvVpEkThYeHV0obALyLxWqVJPmbL0g++fhKkvLzC6o8JgAAAADwVG5NPh06dEgvv/yyevXqpSFDhig1NVUnTpzQiRMndPbsWd166636/vvvNWfOHB0+fFjr16/XU089pVtvvVXNmjWTv7+/BgwYoISEBK1bt0579uzR6NGjFRkZqV69ekmS+vfvr4yMDE2cOFH79+/XypUrtWTJEg0ZMkSSKqUNAN7Fmlc48smvlJFPeQWMfAIAAAAAG7fWfPryyy9ltVq1Zs0arVmzxmFfv3799Oqrr2rGjBmaO3eu5s6dq9q1a+u2227TqFGj7MeNHDlSeXl5evrpp5WTk6O4uDgtWrTIPoIqPDxcCxcu1EsvvaR+/fopIiJC48aNU79+/Sq1DQDew1I07c7/wuSTj23aHSOfAAAAAMDGrcmnoUOHaujQoRc9pk+fPurTp0+p+319fTV27FiNHTu21GNat26t5cuXu7QNAN7DceSTYd/u61s07a6A5BMAAAAA2Li95hMAVDel1nyi4DgAoIpkZGS4OwQAqDK85lV/JJ8AoJxsq90Vq/lEwXEAQBU4ceKExowZoxMnTrg7FABwOV7zagaSTwBQTvaRT6UUHM+n4DgAwIWys7NlGIays7PdHQoAuByveTUDyScAKKfSV7tj5BMAAAAAXIjkEwCUU6k1n2yr3VFwHAAAAADsSD4BQDlZSqv5RMFxAAAAACiG5BMAlJOt4PiFNZ/8mHYHAAAAAMWQfAKAcrJNuyu+2h0FxwEAAADgQiSfAKCcbAXHi9V8YuQTAAAAABRD8gkAysk28slcWsFxaj4BAAAAgB3JJwAoJ9vIJ3OxguNFI59Y7Q4AAAAA7Eg+AUA52Va7K558so18IvkEAAAAADYknwCgnKylJZ+Kpt3lUXAcAAAAAOxIPgFAOZVa84mC4wAAAABQDMknACgHwzAuUvOp8CW1oKBAhmFUeWwAAAAA4IlIPgFAOeTl59sTS8Wn3fnaf6boOAAAAAAUIvkEAOVgG/UklT7ySWLqHQAAAADYkHwCgHKwWKz2n4vVfPI5L/lE0XEAAAAAkETyCQDKxTbyyWQyOSSbbNt8irYx8gkAAAAACpF8AoBysFgLk0/+ZrNMJlOx/bapd/n5jHwCAAAAAInkEwCUi8VaOO3O/4IpdzZ+RUXHKTgOAAAAAIVIPgFAOdim3V1YbNzm3Mgnkk8AAAAAIJF8AoByOTfyyVziflsdKAqOAwAAAEAhkk8AUA7WoppPF650Z+PrWzTtjpFPAAAAACCJ5BMAlMslRz5RcBwAAAAAHJB8AoByuGTNJwqOAwAAAIADkk8AUA6Woml3pa12Zxv5lMfIJwAAAACQRPIJAMrFXvOp1JFPrHYHAAAAAOcj+QQA5XDpmk9MuwMAAACA85F8AoBysNd8usS0OwqOAwAAAEAhkk8AUA6XHPlkKzjOtDsAAAAAkOQByae0tDQ9++yz6tq1q9q3b6+7775b27Zts+/fvXu3BgwYoLZt26p79+5atGiRw/kFBQWaOXOm4uPj1aZNGw0aNEhJSUkOx1RFGwC8gy35VGrNJ9vIpwJGPgEAAACA5AHJp3/84x/65Zdf9Prrr+vf//63WrZsqYceekgHDhzQ6dOn9eCDDyoqKkorVqzQiBEjNGPGDK1YscJ+/uzZs7Vs2TJNnjxZy5cvl8lk0uDBg2WxWCSpytoA4B1sq90F+F+i5hMjnwAAAABAklTyn+6rSFJSkr7//nu9//77at++vSRp4sSJ2rBhg1avXq3AwED5+/tr0qRJ8vPzU7NmzZSUlKQFCxaof//+slgsWrx4scaOHatu3bpJkqZNm6b4+HitWbNGffv21QcffODyNgB4j9yipHSAv3+J++2r3VFwHAAAAAAkuXnkU926dTV//nxde+219m0mk0mGYejMmTPatm2b4uLi5Hfe9JaOHTvq0KFDSk1N1Z49e5SZmamOHTva94eGhqpFixbaunWrJFVJGwC8h8VSOO2u1OQTBccBAAAAwIFbRz6FhobaRxvZfP755zp8+LC6dOmiadOmKTo62mF//fr1JUl//PGHkpOTJUkNGzYsdsyxY8ckScnJyS5vIzw8vBz3+hzDMJSVleXUud4uOzvb4TucQz+W39nMTEmSj6kwwWQtmoZn+24qOs5qzVN+fj6/42XEc7Hi6MOKq059aBiGTCbTpQ8EAADwAG5NPl1o+/bteuqpp3TTTTepZ8+eeuWVV+R/weiCgIAASVJubq794rCkY86cOSNJysnJcXkbzrJardq9e7fT50NKTEx0dwg1Av1YdsdTUiRJ6WfOKDMzU2lpaZJk/56TnSNJyszKUmZmpo4mJbohyuqL52LF0YcVV1368MJrEwAAAE/lMcmntWvXasyYMWrTpo1ef/11SVJgYKC96LeNLdkTHByswMBASZLFYrH/bDsmKCioytpwltlsVvPmzZ0+35tlZ2crMTFRUVFR9scJ5Uc/ll+ttd9Jkq64vKFq1aqlsLAwpaWlKSwsTGazn5JPFyatzWazatWqpciIy9wZbrXBc7Hi6MOKq059uH//fneHAAAAUGYekXxaunSpXnrpJfXq1UsJCQn2v+RFRkYqpWiUgY3t/w0aNFBeXp5925VXXulwTGxsbJW14SyTyVSh5BWkoKAg+rAS0I9ll19gSJJqh4TI19dXZnPhy6jZ7Cez2Sx/c+EqeIYM+fr60q/lxHOx4ujDiqsOfciUOwAAUJ24teC4JL333nt68cUXde+992r69OkOQ8jj4uK0fft2h8K9mzdvVpMmTRQeHq7Y2FiFhIRoy5Yt9v3p6enatWuXOnToUGVtAPAeOfbV7swl7vf19ZUk5eez2h0AAAAASG5OPh06dEgvv/yyevXqpSFDhig1NVUnTpzQiRMndPbsWfXv318ZGRmaOHGi9u/fr5UrV2rJkiUaMmSIpMJaBwMGDFBCQoLWrVunPXv2aPTo0YqMjFSvXr0kqUraAOA9cu3Jp1JWu/MpWu2ugOQTAAAAAEhOTrvbunWrWrRooVq1ahXbl56ero0bN6pv376XbOfLL7+U1WrVmjVrtGbNGod9/fr106uvvqqFCxfqpZdeUr9+/RQREaFx48apX79+9uNGjhypvLw8Pf3008rJyVFcXJwWLVpkH0EVHh5eJW0A8A65FqskKcBc2sinwuRT3nkjJQEAAADAmzmVfLr//vu1fPlytW7duti+Xbt26cknnyxT8mno0KEaOnToRY9p3bq1li9fXup+X19fjR07VmPHjnVrGwC8g8VamHzyZ9odAAAAAJRJmZNP48eP17FjxyRJhmFo0qRJCgkJKXZcYmKiLruM1Z0A1Ey2aXeBAZeadsfIJwAAAACQylHzqU+fPjIMQ4Zh2LfZ/m/78vHxUdu2bfXKK6+4JFgAcLec3EvUfGLkEwAAAAA4KPPIp549e6pnz56SpPvuu0+TJk1Ss2bNXBYYAHgi27S7Ums+2UY+UfMJAAAAACQ5WfPp3Xffrew4AKBasBUcv2TNJ1a7AwAAAABJTiafsrOzNXfuXH3zzTfKzs5WwQUfskwmk9auXVspAQKAJ7HVfCp92p1t5BPJJwAAAACQnEw+vfTSS1qxYoWuv/56XXPNNfLxKXPpKACo1mwjnwJLSz4x7Q4AAAAAHDiVfPrqq680evRoPfLII5UdDwB4rIKCgnM1n/zNKjhvAQYbv/Om3Rkl7AcAAAAAb+PUkKW8vDy1bt26smMBAI9mSzxJkv8lpt1JUh6jnwAAAADAueRTly5dtGHDhsqOBQA8mm3KnVQ48qkkvj6+9p8t1jyXxwQAAAAAns6paXd//vOf9dxzz+nUqVNq06aNgoKCih1z++23VzQ2APAotuSTj4+PfXrdhc4f+XT+SCkAAAAA8FZOJZ9GjRolSVq1apVWrVpVbL/JZCL5BKDGybUWrnQX6O8vk8lU4jEmk0k+PiYVFBiyknwCAAAAAOeST+vWravsOADA4+XmFiaf/EuZcmfj6+OrgoI8pt0BAAAAgJxMPl1xxRWVHQcAeDzbtLvS6j3Z+Pr6yJonWfNIPgHwXkOGDHF3CDXeSy+9pICAAM2cOdPdoQCAS5z/XvLSSy+5MZKaY968eW65XaeST2+++eYlj3nsscecaRoAPFaupXDkU4C55JXubHx9Cus+UfMJgLci8VR1cnNzNWTIELd9mAAAV+G9xDXc9Z5R6cmnkJAQ1a9fn+QTgBon11rWkU+FxcitTLsD4IX4sOAeJKAA1CS8l7iWO94zfC59SHF79uwp9rVjxw4tWLBAderU0TPPPFPZcQKA21ls0+4CLjHyyZeRTwC8Ex8W3GvkyJHuDgEAKoz3kqpR1f3s1MinkgQHBys+Pl7Dhw/Xa6+9po8++qiymgYAj5CTa5t2d+mC45IoOA4AqFK5ubk6fPiwu8OoNNnZ2Tp58qSOHDmioKAgd4dTJY4dO+buEKq9mtiH3vi7gJqn0pJPNg0bNtSBAwcqu1kAcLtca1Hyyb9sI5+seYx8AgBULQrywtstXrzY3SEAKEGlJZ8Mw9CxY8e0YMECVsMDUCOVebU7Rj4BANxk4sSJ7g6h0mRnZysxMVFRUVFeM9rj2LFjJE8qaNCgQWrYsKG7w6hU3va7QBK9ZnIq+RQbGyuTyVTiPsMw9Nprr1UoKADwRBZLOUc+kXwCAFShgIAAXXnlle4Oo9JkZWUpIyNDjRs3VnBwsLvDQTXRsGHDGvV7IPG7gJrBqeTT8OHDS0w+hYSEqHv37oqKiqpoXADgcew1ny458omC4wC807x58ygU60YzZ850dwgAUGG8l1SNql7tzqnk04gRIyo7DgDweLlW27S7i4988vNl2h0A78WHBveo6g8RAOBKvJe4ljveM3ycPdFisWjZsmUaPXq0HnroIY0ZM0bLli1Tbm5uZcYHAB6jzDWfKDgOwMuRCKk6AQEB9DeAGonXNtdwV786NfIpPT1d999/v/bs2aPLL79cEREROnTokFavXq1//etfeu+991S7du3KjhUA3MpW88n/UjWfKDgOANX6Q0NWVpZ2796ta665xiPrqxw+fFgvvfSSJk6cWONq2wDA+ebNm+cRr3me/r5QHTg18mnq1KlKTk7W0qVL9fXXX2v58uX6+uuvtXTpUqWmpmrGjBmVHScAuJ1t5FNgGQuOU/MJAAAAAJxMPq1bt06jRo1Shw4dHLZ36NBBI0eO1FdffVUpwQGAJ8mxlLHgeFHNJ1a7AwAAAAAnk0+ZmZlq3LhxifsaN26stLS0isQEAB4pt6zJJ9tqd3kknwAAAADAqeRT06ZN9c0335S4b926dbrqqqsqFBQAeCJL0bQ7fzPT7gAAAACgrJwqOP7QQw/pH//4hywWi2677TZddtllOnnypP7zn//oww8/1KRJkyo5TABwv1xrWVe7s027I/kEAAAAAE4ln/785z8rMTFRc+fO1YcffmjfbjabNXz4cN15552VFiAAeArbtLvAgEutdlc48omaTwAAAADgZPIpKytLw4YN04ABA/Tzzz/rzJkzOnbsmO68807VqVOnsmMEAI+Qm2ur+XSpaXeFI5+o+QQAAAAA5az5tHv3bt1+++16++23JUmhoaHq2rWrunbtqunTp+uee+7RgQMHnA5m9uzZuu+++xy2Pfnkk4qJiXH46tq1q31/QUGBZs6cqfj4eLVp00aDBg1SUlJSsbgHDBigtm3bqnv37lq0aJHD/spoA0DNZ5t2528uY8Fxpt0BAAAAQNmTT0eOHNHAgQN15swZNW/e3GGfv7+/nnrqKWVmZuqee+5RcnJyuQN5++23NXPmzGLb9+7dq6FDh+q7776zf61atcq+f/bs2Vq2bJkmT56s5cuXy2QyafDgwbIUTY85ffq0HnzwQUVFRWnFihUaMWKEZsyYoRUrVlRqGwBqvlxLeWs+MfIJAAAAAMqcfJo/f77q1q2rjz76SL1793bYFxQUpAEDBmjFihUKDg7W3LlzyxzA8ePH9fDDD2vGjBlq0qSJw778/Hzt379frVq1UkREhP2rXr16kiSLxaLFixdrxIgR6tatm2JjYzVt2jQdP35ca9askSR98MEH8vf316RJk9SsWTP1799fAwcO1IIFCyqtDQDewVbz6dLT7mwjn0g+AQAAAECZk0+bN2/Www8/rLCwsFKPCQ8P14MPPqjNmzeXOYD//e9/qlOnjj755BO1adPGYV9iYqJyc3PVrFmzEs/ds2ePMjMz1bFjR/u20NBQtWjRQlu3bpUkbdu2TXFxcfLzO1feqmPHjjp06JBSU1MrpQ0A3sE28inwUsknpt0BAAAAgF2ZC46fOHFCV1111SWPi46OLte0u549e6pnz54l7tu3b59MJpOWLFmiDRs2yMfHR926ddOoUaNUu3Zt++00bNjQ4bz69evr2LFjkqTk5GRFR0cX2y9Jf/zxR6W0ER4eXub7ez7DMJSVleXUud4uOzvb4TucQz+WT05uriSpoCBfWVlZys/Pt0+tc5hiZxiSCpNP/I6XDc/FiqMPK6469aFhGDKZTO4OAwAAoEzKnHyqV6+eUlJSLnncqVOnLjo6qjx+++03+fj46IorrtDcuXOVlJSkf/7zn9q3b5+WLFlivzj0v2AUQkBAgM6cOSNJysnJKXG/JOXm5lZKG86yWq3avXu30+ejcHQcKo5+LJucotXuDiclKTs9TXUvi1BaWpok2b9L0tmzZyUVTtPjd7x8eC5WHH1YcdWlDy+8NgEAAPBUZU4+xcXFaeXKlerbt+9Fj1u1apWuueaaCgcmSSNGjNDAgQMVGhoqqXBUVUREhO68807t3LlTgYGBkgrrNtl+lgoTQkFBQZKkwMBAe+Hw8/dLUnBwcKW04Syz2VyseDvKJjs7W4mJiYqKirI/Tig/+rHsDMOQNa9wdFPLFtcoPKyOzmZlKywsTGlpaQoLC5PZXPiSavgUFhzPzy+otNfDmo7nYsXRhxVXnfpw//797g4BAACgzMqcfLrvvvt0991369VXX9Xo0aPtI39sLBaLpk2bpo0bN2r+/PmVEpzJZLInnmxs09+Sk5PtU+VSUlJ05ZVX2o9JSUlRbGysJCkyMrLYiC3b/xs0aKC8og+TFWmjIvevIskrFBa7pw8rjn68NIvlXP2msDqhCg4OVlauxZ5wMpv9ZDYXroIXEFA4GsFitdKv5cRzseLow4qrDn3IlDsAAFCdlDn51KpVKz355JN6+eWX9fHHH6tTp05q1KiR8vPz9ccff2jLli06ffq0Hn/8ccXHx1dKcE888YTS0tK0aNEi+7adO3dKkpo3b67GjRsrJCREW7ZssSeO0tPTtWvXLg0YMEBS4YitZcuWKT8/3778+ebNm9WkSROFh4erdu3aFW4DQM2Xaz03+vGSq90VjXyyjZQCAAAAAG9W5uSTJN17772KjY3VokWLtG7dOvvUs1q1aqlLly4aNGhQsRXrKuLWW2/Vo48+qjlz5qhv3746dOiQXnjhBd166632FfAGDBighIQE1atXT1dccYWmTJmiyMhI9erVS5LUv39/LVy4UBMnTtTDDz+sX3/9VUuWLNHzzz8vqbBeQkXbAFDz2eo9mUwmmf0u/tLp62tb7Y7kEwAAAACUK/kkSdddd52uu+46SdLp06fl4+OjOnXqVHpgktSjRw/NmDFDc+fO1dy5c1W7dm3ddtttGjVqlP2YkSNHKi8vT08//bRycnIUFxenRYsW2YtwhoeHa+HChXrppZfUr18/RUREaNy4cerXr1+ltgGgZsstmnYX4G++5HQXX5/C5JPVamVFKgAAAABer9zJp/PVrVu3suKQJL366qvFtvXp00d9+vQp9RxfX1+NHTtWY8eOLfWY1q1ba/ny5S5tA0DNZk8+mS+9upRtem6BYSgvP/+SI6UAAAAAoCbzcXcAAFAdWIpqPvn7my95rG3aXeF51oscCQAAAAA1H8knACgD28inwIAyjHwqKjguUfcJAAAAAEg+AUAZ2AqOB5gvPfLJx8dkr/NksVgucTQAAAAA1GwknwCgDHKLpt0F+F965JMk+bHiHQAAAABIIvkEAGViKZp2V5aaT5LkUzT1jppPAAAAALwdyScAKAP7andlTD752kc+kXwCAAAA4N1IPgFAGeRYciVJgWWcdufrU/jyaktaAQAAAIC3IvkEAGVwbuRTWWs+Me0OAAAAACSSTwBQJuWt+cS0OwAAAAAoRPIJAMog11K+1e587QXHWe0OAAAAgHcj+QQAZWCfdmcu38gnW9IKAAAAALwVyScAKIMc28ingPLVfMrNJfkEAAAAwLuRfAKAMrDYC46XbeSTn5+fJCkrJ9dlMQEAAABAdUDyCQDKwF7zyVy2kU9msy35lOOymAAAAACgOiD5BABlkGst38gnf9vIp2ySTwAAAAC8m5+7AwAAT5WRlaWcoppNZzMyJUnWvDydPJ0mScrPzy/1XDPJJwAAAACQRPIJAEqVk2vR+6u/lCQdPPqHJOnn3ftkKRoF1b9Pz1LPtSefmHYHAAAAwMsx7Q4AysA2ysm3aBW7S7EVHM/MznZZTAAAAABQHZB8AoAysCWf/HzL9rJpKziezWp3AAAAALwcyScAKIO8/AJJZR/5RM0nAAAAAChE8gkAyuDcyKeyJZ/8qfkEAAAAAJJIPgFAmeSVs+aTbdodI58AAAAAeDuSTwBQBrYV7vzNZVsklNXuAAAAAKAQyScAKAOLNU+S5G82l+l4P7/CEVJZFBwHAAAA4OVIPgHAJeTn56ugoLDgeFmTTxQcBwAAAIBCJJ8A4BJso56kc0mlS7HVfMq1WOz1ogAAAADAG5F8AoBLsNV7Mvv5ysfHVKZz/M9LUmVT9wkAAACAFyP5BACXYE8+lXHKnST5+PjYV8Zj6h0AAAAAb0byCQAuobzFxiXJZDIpKMBfEkXHAQAAAHg3kk8AcAm2kU/+5rLVe7IJCgyUxMgnAAAAAN6N5BMAXIIzI58kKSgwQJKURc0nAAAAAF7Mo5JPs2fP1n333eewbffu3RowYIDatm2r7t27a9GiRQ77CwoKNHPmTMXHx6tNmzYaNGiQkpKSqrwNADWX1T7yycnkEyOfAAAAAHgxj0k+vf3225o5c6bDttOnT+vBBx9UVFSUVqxYoREjRmjGjBlasWKF/ZjZs2dr2bJlmjx5spYvXy6TyaTBgwfLYrFUaRsAai5np90FBxQmnzJJPgEAAADwYuX7JOUCx48f18SJE7V9+3Y1adLEYd8HH3wgf39/TZo0SX5+fmrWrJmSkpK0YMEC9e/fXxaLRYsXL9bYsWPVrVs3SdK0adMUHx+vNWvWqG/fvlXSBoCazTbtrjyr3UlSYNHIp2ym3QEAKlFQUFDhwhZBQe4OBQBcjte8msHtI5/+97//qU6dOvrkk0/Upk0bh33btm1TXFyc/PzO5cg6duyoQ4cOKTU1VXv27FFmZqY6duxo3x8aGqoWLVpo69atVdYGgJrN6YLjAdR8AgBUvoiICCUkJCgiIsLdoQCAy/GaVzO4feRTz5491bNnzxL3JScnKzo62mFb/fr1JUl//PGHkpOTJUkNGzYsdsyxY8eqrI3w8PAy3NPiDMNQVlaWU+d6u+zsbIfvcA79eHH5+fmyWq3Kyc2VJPn5+NjrP0mSDMlaNCrK9v18gUXJp7T0s/yuXwLPxYqjDyuuOvWhYRgymUzuDgNuFBIS4u4QAKDK8JpX/bk9+XQxOTk58vf3d9gWUPRhLjc3135xWNIxZ86cqbI2nGW1WrV7926nz4eUmJjo7hBqBPqxZHUvi9CJEyeVkVmYOMrNydWJEyft+/Pz85WWliZJ9u/nM/sWDi49cvR3ftfLiOdixdGHFVdd+vDCaxMAAABP5dHJp8DAQHvRbxtbsic4OFiBgYGSJIvFYv/ZdoxtPmhVtOEss9ms5s2bO32+N8vOzlZiYqKioqKY+1sB9OPFnc3KVkTEZTL5FCaR6tUNU0TEZfb9vr6+CgsLU1pamsLCwmS+YFpeVk7R60StEF1zzTVVF3g1xHOx4ujDiqtOfbh//353hwAAAFBmHp18ioyMVEpKisM22/8bNGigvLw8+7Yrr7zS4ZjY2Ngqa8NZJpOpQskrFBafow8rjn4sWVauRWazWXl5+ZKkoKBAx6LjJtkTTmazX7GC5EEqnBJjzc+nf8uI52LF0YcVVx36kCl3AACgOnF7wfGLiYuL0/bt25Wfn2/ftnnzZjVp0kTh4eGKjY1VSEiItmzZYt+fnp6uXbt2qUOHDlXWBoCa7VzB8fKtdhdctNpdVjWoHwMAAAAAruLRyaf+/fsrIyNDEydO1P79+7Vy5UotWbJEQ4YMkVRY62DAgAFKSEjQunXrtGfPHo0ePVqRkZHq1atXlbUBoGZzerW7oqm8WdmsdgcAAADAe3n0tLvw8HAtXLhQL730kvr166eIiAiNGzdO/fr1sx8zcuRI5eXl6emnn1ZOTo7i4uK0aNEiexHOqmoDQM1lKVrJ7sJpdZcSZBv5lEPyCQAAAID38qjk06uvvlpsW+vWrbV8+fJSz/H19dXYsWM1duzYUo+pijYA1EwFBYasRbXhyj/yqTD5lMnIJwAAAABezKOn3QGAu9kST1L5az4FBRQmn7KLVr0DAAAAAG9E8gkALsJaVO/Jx8ckX5/yvWTap90x8gkAAACAFyP5BAAXYav35G82l3tpc3vBcWo+AQAAAPBiJJ8A4CLOrXRXvil3khR83sgnwzAqNS4AAAAAqC5IPgHARZxLPpV/fQbbtLu8/HxZrXmXOBoAAAAAaiaSTwBwEedPuyuvwKKC4xJT7wAAAAB4L5JPAHARtpFPZieST36+vvakFcknAAAAAN6K5BMAXIR92p1f+afdSVJwUFHRcVa8AwAAAOClSD4BwEVUZNqdJNUi+QQAAADAy5F8AoCLqEjBcUkKDixMPmUy7Q4AAACAlyL5BAAXYa3gyCfbtLvsnNxKiwkAAAAAqhOSTwBwEfaRT/7OJZ+CAgtXvGPaHQAAAABvRfIJAC7i3Gp3FZt2l5WdXWkxAQAAAEB1QvIJAC6iogXH7avdUfMJAAAAgJci+QQAF3Gu4Lizq90FSZIymXYHAAAAwEuRfAKAi7Ann/wqOu2O5BMAAAAA70TyCQAuoqLT7mwFx1ntDgAAAIC3IvkEAKUwDENW+7Q7J0c+UfMJAAAAgJcj+QQApbBY81RgGJIqoeA40+4AAAAAeCmSTwBQiqzsbPvPZidHPtUqqvlEwXEAAAAA3orkEwCUIrMo+WQ2+8lkMjnVhm3kU+Z5iSwAAAAA8CYknwCgFLbRSs5OuZOkunVCJUmnz6RXSkwAAAAAUN2QfAKAUmRmFY5WcrbYuCSFh9WRJJ08faZSYgIAAACA6obkEwCU4kxGpiQpwN/f6TYi6oVJkjKyspSTm1sZYQEAAABAtULyCQBKcfJ0miSpVlCQ022EBAfbp+0x+gkAAACANyL5BAClOJd8CnS6DZPJpMvqFk69S01Lq4SoAAAAAKB6IfkEAKWwJ5+CnR/5JEmX1Q2TJJ04lVaxgAAAAACgGiL5BAClqIxpd5IUXpR8Sk1j2h0AAAAA70PyCQBKcbJopFJFpt1J0mX2Fe/SKhgRAAAAAFQ/zq8fDgA1XEWn3ZlMJp08nabgopFTR5NTHBJQgQH+CgkOrmiYAAAAAODRSD4BQAmycnKUkZUtyflpd7kWi1Z8+bUOHf1dkvTLnn16f/WX9v1339qH5BMAAACAGo9pdwBQghOppyVJfr6+8jdXLE8fHBggScrKzq1wXAAAAABQ3VSL5NPvv/+umJiYYl8ffvihJGn37t0aMGCA2rZtq+7du2vRokUO5xcUFGjmzJmKj49XmzZtNGjQICUlJTkcUxltAKg5Uk4VJp9qBQfJZDJVqK2gwMKaUVk5ORWOCwAAAACqm2qRfNq7d68CAgK0ceNGfffdd/av2267TadPn9aDDz6oqKgorVixQiNGjNCMGTO0YsUK+/mzZ8/WsmXLNHnyZC1fvlwmk0mDBw+WxWKRpEppA0DNkpJ6SlLFi41LUnAQyScAAAAA3qta1Hzat2+fmjRpovr16xfbt2TJEvn7+2vSpEny8/NTs2bNlJSUpAULFqh///6yWCxavHixxo4dq27dukmSpk2bpvj4eK1Zs0Z9+/bVBx98UOE2ANQsKUXT7pyt93S+4KKRT1ZrnvLy8uXn51vhNgEAAACguqgWyae9e/eqefPmJe7btm2b4uLi5Od37q507NhR8+bNU2pqqn7//XdlZmaqY8eO9v2hoaFq0aKFtm7dqr59+1ZKG84wDENZWVlOnevtsrOzHb7DOfRj6X4/niJJCgrwl9VqLfkgozChJJ37Xny/VSYZ8vXxUX5BgdIzzqp2rVqSpPz8fF4DivBcrDj6sOKqUx8ahlHhKcEAAABVpVokn/bt26eIiAjdc889SkxM1FVXXaVhw4YpPj5eycnJio6OdjjeNkLqjz/+UHJysiSpYcOGxY45duyYJFVKG86wWq3avXu30+dDSkxMdHcINQL9WNyBQ4U13YyCfJ04cbLEY/Lz85WWliZJ9u8X7redG+BvVlZOrv44dlz16oRKkjIzM3U0KbHSY6/OeC5WHH1YcdWlD/39/d0dAgAAQJl4fPLJYrEoMTFRQUFBGjdunIKDg/XJJ59o8ODBeuutt5STk1Ps4isgoHBlqdzcXPtfL0s65syZM5JUKW04w2w2lzqiCxeXnZ2txMRERUVFKagSpkV5K/qxdLn5H0mS6kdcpoiIy0o8xtfXV2FhYUpLS1NYWJjMF6yK5+vraz83JDhYWTm5CggKsm+rVauWIktp29vwXKw4+rDiqlMf7t+/390hAAAAlJnHJ5/8/f21detW+fn52ZM/1157rQ4cOKBFixYpMDCwWNHv3NzC5cyDg4MVWFRrxWKx2H+2HWO7sKyMNpxhMpkUHBzs9PmQgoKC6MNKQD8Wl5pWmFgODQmR2Wwu+SCT7Akns9mv+HEm2bfZio7nWvPs23x9fen3C/BcrDj6sOKqQx8y5Q4AAFQn1WK1u+Dg4GKjjqKjo3X8+HFFRkYqJSXFYZ/t/w0aNLBPlSvpmMjISEmqlDYA1ByGYZwrOB5cOaMf7CveZbPiHQAAAADv4vHJpz179qhdu3batm2bw/b//ve/at68ueLi4rR9+3bl5+fb923evFlNmjRReHi4YmNjFRISoi1bttj3p6ena9euXerQoYMkVUobAGqOzKxsZeUUJolqBQVe4uiysa14l51D8gkAAACAd/H45FN0dLSuvvpqPf/889q2bZsOHDigV155RT///LOGDh2q/v37KyMjQxMnTtT+/fu1cuVKLVmyREOGDJFUOG1vwIABSkhI0Lp167Rnzx6NHj1akZGR6tWrlyRVShsAao7jRaOeQoKDZParnNnJ9pFPJJ8AAAAAeBmPr/nk4+OjuXPnKiEhQaNGjVJ6erpatGiht956SzExMZKkhQsX6qWXXlK/fv0UERGhcePGqV+/fvY2Ro4cqby8PD399NPKyclRXFycFi1aZJ/KFx4eXuE2ANQcKadOSZIuqxtWaW0GBxYuYpCVnVtpbQIAAABAdeDxySdJqlevnl5++eVS97du3VrLly8vdb+vr6/Gjh2rsWPHurQNADWDrd5TpSafGPkEAAAAwEt5/LQ7AKhqKamVP/IpKJDkEwAAAADvRPIJAC5wbuRTnUpr01Zw3GrNkzUvr9LaBQAAAABPR/IJAC5wPDVVUuWOfPI3+8nXt/AlNzuHuk8AAAAAvAfJJwC4wMHDv0uSLq8fUWltmkwmhQQFSZLSMzIrrV0AAAAA8HQknwDgPLkWiw4eKUw+XR3VuFLbrlsnVJJ06kx6pbYLAAAAAJ6sWqx2BwBVZX/SUeUXFCisdogi6tWt1LbrhdVR4u/HdCrtTKW2CwAAapZT6Z5ZHzK1KK5UD4zPU/sMQCGSTwBwnt0HD0mSYptFyWQyVWrb4WGMfAIAAKULCQmRv9msz7ZkuDuUi/rcQ+PzN5sVEhLi7jAAlIDkEwCcZ8/BJElSbNOoSm87PKxw9bzUtDMyDKPS2wcAANVbvXr19PwLLygjwzOSO9nZ2UpMTFRUVJSCimpXerKQkBDVq1fP3WEAKAHJJwA4z54DiZJck3wKC60tk8mkXItVmdk5ld4+AACo/urVq+cxCZSsrCxlZGSocePGCg4Odnc4AKoxCo4DQBHDMLTnYKIk6RoXJJ/8fH0VVrtwKDh1nwAAAAB4C5JPAFDk9+MndDYzS2Y/PzW98gqX3Ea9orpPqWnUfQIAAADgHUg+AUAR26inZlc2kr/Z7JLbqFensO7TqTOMfAIAAADgHUg+AUARW/IptulVLruN84uOAwAAAIA3IPkEAEXs9Z6aRbnsNsKLpt2dPpOugoICl90OAAAAAHgKkk8AUGR30Up3MS4oNm5Tp3aIfHx8ZM3LV/LJVJfdDgAAAAB4CpJPACDpbGamjianSJJiXZh88vHxUd3Q2pKkg0d+d9ntAAAAAICnIPkEAJI2/7RTknTV5ZH25JCr2Oo+HTzyh0tvBwAAAAA8AcknAJD09Q/bJEk9OnZw+W2F1y1MPv33twMuvy0AAAAAcDeSTwC8VkZWlk6eTtPx1FP25NN1LWN18nSaTp5OU35+vktu96rLIyVJW3/dpaycHJfcBgAAAAB4Cj93BwAA7pKTa9H7q7/UHykndOZshgL8zdp94JD2HkqSJPXv09MltxseVkehIbWUnpGpjVt/Vp/4ji65HQAAAADwBIx8AuD1DhXVXoq6oqF8fFz/smgymdS08RWSpK++/8HltwcAAAAA7kTyCYDXO3S0MPnUpNHlVXabzYqST+t/3CGL1VpltwsAAAAAVY3kEwCvdvrMWaWdzZCPj0lXNoysstuNjAhXeFgdnc3M0pZf/ldltwsAAAAAVY3kEwCvtj/piCSpUYP68vc3V9ntmkwmdenQVpK05vstVXa7AAAAAFDVSD4B8FonTp3Wjl17JUnRTa6q8tvvFtdOkrR204/KtViq/PYBAAAAoCqQfALgtWa+s1zWvDxFXhaumCZXVvntt28Zq/rh9ZSadkaz31tR5bcPAAAAAFWB5BMAr7Rpx6/6+odtMpmkbte3l8lkqvIYzH5+embYIEnSwg9Wae+hpCqPAQAAAABcjeQTAK+Tln5Wz82cL0lqFd1cEfXC3BZL7y4d1avz9crLz9fT0+YoPz/fbbEAAAAAgCuQfALgVXItFg1//jUdPpasBpfV0w1trnVbLCaTSSdPp2n4vf+nWkFB+nXvfk2cNkfHU0/p5Ok0ZWRluS02AAAAAKgsJJ8AeI2CggI9OXWWtv13t0KCg5Uw/nEFVOEKdxfKtVj0/uovtXbTFt3YvpUk6aM13+rBCS/o3Y8/U04uRcgBAAAAVH9+7g4AAKrCtp279Mr8JfrvvgPy8/XVm8+OUdPGV2jLL/91d2iSpJgmV8nHx0drvt+iA4ePKiMzS53attJldcPcHRoAAAAAVAjJp3IoKCjQm2++qQ8//FDp6em67rrr9Nxzz+mqq6p+iXYAl1ZQUKBNP/2qd1Z9pvU/7pAk1QoO0ouPD1Gndq118nSaewO8wNVXNVZQQIA+W/+9jqee0qAnX9S9f7lFf725q1o0ayIfHwarAgAAAKh+SD6Vw+zZs7Vs2TK98soratCggaZMmaLBgwdr9erV8vf3d3d4gFcrKCjQ78dPaO+hJPvXzr379UfKSUmSj8mk227qqof/9hfVC6ujk6fTPLK4d6PI+rrn1j7auP1nHTj8u95Z9aneWfWp6tUJVfuWsWp5dVNde3UzXXt1U9ULq+PucAEAAADgkkg+lZHFYtHixYs1duxYdevWTZI0bdo0xcfHa82aNerbt6+bIwQqj2EY574u2CZDsm0t3Fb4f8OwbSv8p3DbBe0V/Ww70Di/3aJzDaNAFmueLNY8Wa1WWaxW5VqtyszKVlZ2jjKzs5VZ9D0rO0dpZzO0P+mI9iUeVlZ2TrH7Yjb76ZqmUWod01xhobX15Xc/2Pf179PTBb1XcSG1gnVL1xvVpNEV+njdem3duUunzqRr7aYftXbTj/bjGlxWT1ddHqnIiMt0WVgd1QoOVkhwkGrXClZIcLACA/xl9vOT2ewnP19fmc1+Mvv5yd9stm+3/ezv5ycfX5/zHovC7yaTST4mk3x8fGQymdzSHwAAAACqN5Nh/ySIi/n111/197//XV988YWaNGli33733XcrJiZGkyZNKld7O3bskGEYMpsrv9ixIelU2hlZ8/IqvW2PUZTwMMkkVdfPw4bDt+I7LrL54r+0RvH/lem3vCa8FJjk5+crs59f4XdfP1nyrIXPkxKEBAcpIyu71NbKsv9sVrYK8vPl4+tb7FYqo33b/vz8AuUX5Cu/oEAF+QUqMApKPc+1TA4/mi7YdtFfx0v8rhqGVLb8Vtl+6SsSS7VUE14X3a2S+9DXx1fhYaEumTJrtVplMpnUvn37CrVjux5hBLcjwzBktVplNptJvLsRj4P78Rh4Bh4H9+MxKJ3FYinTNQkjn8ooOTlZktSwYUOH7fXr19exY8fK3Z7tCeuKJ65JokgxUCRYgRfdX6d2SIX2h1Xw/IruB+CdTCZTpVxDcAFdMpPJRELOA/A4uB+PgWfgcXA/HoPSlfWahORTGWVnF44+uPAJFxAQoDNnzpS7vXbt2lVKXAAAAM7iegQAAFQFlk4qo8DAwtETFovFYXtubq6CgoLcERIAAAAAAIDHI/lURrbpdikpKQ7bU1JSFBkZ6Y6QAAAAAAAAPB7JpzKKjY1VSEiItmzZYt+Wnp6uXbt2qUOHDm6MDAAAAAAAwHNR86mM/P39NWDAACUkJKhevXq64oorNGXKFEVGRqpXr17uDg8AAAAAAMAjkXwqh5EjRyovL09PP/20cnJyFBcXp0WLFlH1HgAAAAAAoBQmwzAMdwcBAAAAAACAmomaTwAAAAAAAHAZkk8AAAAAAABwGZJPAAAAAAAAcBmSTwAAAAAAAHAZkk8AAAAAAABwGZJPAAAAAAAAcBmST6gWcnNz9fzzz6tTp05q166dRo4cqdTU1DKfP2fOHMXExLgwwurBmX7csWOH7rvvPl133XWKj4/XxIkTlZaWVjUBe4CCggLNnDlT8fHxatOmjQYNGqSkpKRSjz99+rSeeOIJxcXFKS4uTs8884yysrKqMGLPVN5+/O233/TII4/ohhtuUKdOnTRy5Ej98ccfVRix5ylvH57vP//5j2JiYnT06FEXR+nZytuHVqtVU6dOVXx8vNq2basBAwZo9+7dVRgxXMWZ98OjR49qyJAhat++vW688UZNmTJF+fn5JR576tQpdenSRW+88YYrwq8RXPEY5OTkaOrUqerZs6fatWunO+64Q+vWrXP1XalWXHFd8/nnn+vPf/6zWrVqpdtuu00bNmxw9d2o1ir7MSgoKNDChQvVp08ftW3bVn379tWHH35YFXelWnPlNb7FYtFtt92mCRMmuCr86skAqoEJEyYYvXr1MrZu3Wr88ssvxu23327ce++9ZTr3l19+MVq0aGFER0e7OErPV95+PHjwoNG2bVtj8uTJxoEDB4ytW7cat956q3HfffdVYdTu9cYbbxidOnUyvv32W2P37t3GoEGDjF69ehm5ubklHj9gwADj73//u/Hf//7X2LRpk9GjRw9j3LhxVRy15ylPP546dcro3LmzMWrUKGPfvn3Gzp07jQEDBhi33HKLkZOT44boPUN5n4s2R48eNa677jojOjraOHLkSBVF65nK24dPPfWU0bFjR+Obb74x9u/fbwwfPtzo3LmzkZ6eXsWRo7KV9/3QYrEYvXv3NoYMGWLs3bvXWLNmjXH99dcbM2bMKPH4YcOGGdHR0cbMmTNddReqPVc8BhMnTjS6d+9ubNiwwUhMTDTmzp1rxMbGGj/88ENV3KVqobKvazZv3my0bNnSePfdd439+/cbr776qnHttdca+/fvr6q7VO1U9mMwe/ZsIy4uzvjss8+MpKQkY/ny5UbLli2NlStXVtVdqpZceY3/4osvGtHR0cb48eNdeReqHZJP8HjJyclGbGyssX79evu2gwcPGtHR0cZPP/100XMzMzON3r17G/fff7/XJ5+c6cfXX3/d6N27t1FQUGDftnXrViM6Oto4fPiwq0N2u9zcXKNdu3bGe++9Z9925swZo3Xr1sbq1auLHb9jxw4jOjra4YJr48aNRkxMjJGcnFwlMXui8vbjBx98YLRv394h0XTs2DEjOjra2LRpU5XE7GnK24c2+fn5xt13321/DfTm5FN5+/Dw4cNGdHS08c033zgc36NHD699HtYUzrwf/uc//zGuvfZa48yZM/Zty5YtM9q3b1/sg8qyZcuMW265xejcuTPJp1K44jHIysoyWrZsaXzyyScO5z3wwAPG2LFjXXI/qhtXXNcMGjTIGDVqlMN5d955p/HMM8+46F5Ub654DLp27WrMmTPH4bynnnrKuOeee1x0L6o/V17jb9iwwbjxxhuNvn37kny6ANPu4PG2b98uSbrhhhvs25o0aaIGDRpo69atFz33pZdeUnR0tP7617+6NMbqwJl+/Mtf/qJ//vOfMplMxfZ5w9S7PXv2KDMzUx07drRvCw0NVYsWLUrss23btikiIkLNmjWzb7v++utlMpns/e+NytuPnTp10qxZsxQQEFBs35kzZ1waq6cqbx/azJ07V1arVUOGDKmKMD1aefvwu+++U2hoqLp27epw/Ndff61OnTpVScxwDWfeD7dt26aWLVsqNDTUvq1jx47KyMjQnj177NsOHTqkhIQETZkyRf7+/i66B9WfKx4Dk8mkuXPnKj4+vti53vrecaHKvq4pKCjQjh07HNqTCh/Xbdu2ue6OVGOueAxeffVV3X777cXO5XlfOldd4586dUpPPvmkXnzxRdWtW9e1d6IaIvkEj3f8+HHVrVu32AfR+vXr69ixY6Wet2bNGq1fv14vvPCCq0OsFpzpx2bNmqlt27YO2xYsWKCIiAjFxsa6KlSPkZycLElq2LChw/bS+uz48ePFjvX391dYWNhFn6s1XXn7sVGjRsUuZOfNm6eAgADFxcW5LlAPVt4+lKRff/1Vixcv1pQpU+Tr6+vyGD1defswMTFRjRs31ldffaU77rhDnTt31uDBg3XgwIEqiReu48z7YXJysiIjI4sdL8lej85qteqJJ57QQw89pJYtW7og8prDFY9BYGCgunTporCwMPv+X375RT/88IO6dOlSuXegmqrs65r09HRlZWWV+Lh483XPxVT2Y+Dj46NOnTo5PAZHjx7Vp59+yvP+Ilx1jT9x4kT16NFDPXv2dEHU1Z+fuwMAjh49qptuuqnU/Y8//niJfz0MCAhQbm5uieccP35czzzzjF577TWvyTq7oh8v9Oqrr2r9+vWaOXOmzGaz07FWF9nZ2ZJUrN8CAgJK/GtSdnZ2hfu4JipvP17onXfe0Xvvvacnn3xS4eHhLonR05W3D7OysjRmzBiNGTNGUVFROn78eJXE6cnK24cZGRk6fPiwZs+erXHjxik0NFRz5szRPffco88++8xrn4vVgSveD3NychxG3NiOl2Q/Z+bMmQoICNDgwYOdDb3GcNdjcL6DBw9q+PDhuvbaa3XnnXeWJ/waq7Kva3Jyckptz5uvey7G1deWJ06c0COPPKLw8HA9+uijlRR1zeOKx2HZsmU6cOCApk6d6oKIawaST3C7Bg0a6LPPPit1//r162WxWIptz83NVVBQULHthmFowoQJuuWWWxymS9R0ld2P57NarXr22Wf10Ucf6bnnnlPv3r0rHG91EBgYKKlwxQrbz1LpfRYYGFhqHwcHB7suUA9X3n60MQxDM2bM0Jw5czRkyBANHDjQ1aF6rPL24eTJkxUVFaW77rqrymL0dOXtQ7PZrLNnz2ratGn2YfbTpk1Tt27d9NFHH+nhhx+umsBRbq54Pyzp9d32gSM4OFg//vij3n//fX300UeMNJR7HoPz7dixQ8OGDVNERITmz5/PFMgilX1dY0v+lfS4XOra0lu58try4MGDeuSRR2S1WvXuu++qTp06lRx9zVHZj8PBgwc1ZcoULVq0yKuv+S+F5BPczmw2O8yfvdDevXuVlpYmi8XicPGQkpJSbJivVDj0etOmTdqxY4dWrVolScrLy5MktWvXTkOGDNHQoUMr9054gMruR5uMjAw99thj2rZtm6ZOnaq+fftWatyezDa8NiUlRVdeeaV9e0pKSonTDiMjI7V27VqHbRaLRWlpaWrQoIFrg/Vg5e1HqTDh+eSTT2r16tUaN26cHnrooSqJ1VOVtw9XrFghf39/tWvXTpLsS5Hfeuut+stf/uKV05Gd+X328/NzeF0NDAxU48aNdfToUdcHDKe54v0wMjJS+/btc9iWkpIiqTDR8v777ysrK0t/+ctf7Puzs7M1b948LV68WD/99FNF7lK1447HwGbNmjV64okn1KpVK82ZM6fYaClvVtnXNWFhYQoODrY/Due3d7FrS2/mqmvL7du369FHH1VERITefffdYlPE4KiyH4fPPvtMmZmZevDBB+37c3JytGPHDn355Zf69NNPdfnll7vo3lQf1HyCx7vuuutUUFDgUMzt4MGDOn78uDp06FDs+AYNGuirr77SJ598olWrVmnVqlUaOXKkJGnVqlVeOxKgvP0oFb6oDhkyRDt37tTChQu9KvEkSbGxsQoJCdGWLVvs29LT07Vr164S+ywuLk7JyclKSkqyb7Od2759e9cH7KHK24+SNG7cOH3xxReaOnWq1yeepPL34VdffaXVq1fbXwMnT54sSZo/f74ef/zxKovbk5S3Dzt06KC8vDzt3LnTvi0nJ0dHjhzRVVddVSUxwzWceT+Mi4vTrl27lJGRYd+2efNm1apVS7GxsRozZow+//xz++/cqlWrVL9+fd111132P4ThHFc8BpL09ddfa9SoUerevbveeustEk8XqOzrGpPJpPbt2+vHH390OG/Lli267rrrXHQvqjdXXFv++uuvevjhh3X11VfrvffeI/FUBpX9OAwYMEBffvmlw3vAtddeq549e9rfDyDJ3cvtAWXxj3/8w+jZs6fxww8/GL/88otx++23GwMGDLDvz83NNVJSUootd2yzYsUKIzo6uqrC9Vjl7ceZM2caMTExxurVq42UlBSHr9L6uqZ5/fXXjeuvv95Yu3atsXv3bmPQoEFG7969jdzcXCMvL89ISUkxsrOzDcMwjIKCAuOuu+4y+vXrZ/zyyy/G5s2bjR49ehgTJkxw871wv/L0o+33deHChcWed7ZjvFF5+vBCP/zwgxEdHW0cOXKkiqP2LOXtw4EDBxq33HKLsXXrVuO3334zRowYYXTq1MlITU11471AZSjv+2FOTo5x8803Gw899JCxe/duY82aNcb1119vvPHGG6XeRo8ePYyZM2e6/L5UV5X9GKSlpRkdOnQw/v73vxvJyckO7x2nT592x130SJV9XbNx40bjmmuuMRYvXmzs37/f+Oc//2m0bt3aYUl6OKrMx8BqtRq9evUybrrpJuPw4cMOz3veqy7O1df4AwYMMMaPH19Vd6daIPmEaiEzM9OYOHGi0aFDB6NDhw7GP/7xD+PUqVP2/bYPVj/88EOJ55N8KlTefuzdu7cRHR1d4ldpfV3T5OXlGa+99prRsWNHo23btsbgwYPtH+CPHDliREdHGytWrLAff/LkSWPEiBFG27ZtjRtuuMF47rnnjJycHHeF7zHK048PPvhgqc+78/va25T3uXg+kk+FytuHZ8+eNZ577jnjhhtuMNq0aWM8+OCDxm+//eau8FGJnLmuSExMNB588EGjVatWRpcuXYzp06cb+fn5pd4GyaeLq+zH4JNPPin1veP8pJa3c8V1zUcffWT06tXLaNWqldGvXz9j06ZNVXqfqpvKfAy2b99e6vO+R48ebrl/1YWrr/FJPhVnMgzDcPfoKwAAAAAAANRM1HwCAAAAAACAy5B8AgAAAAAAgMuQfAIAAAAAAIDLkHwCAAAAAACAy5B8AgAAAAAAgMuQfAIAAAAAAIDLkHwCAAAAAACAy5B8AoAaxjAMd4cAAADANQkAO5JPAFDJVq5cqZiYGB09elRvvPGGYmJiquR2k5OTNWTIEP3+++9VcnsAAMCzcU0CwFOQfAKAGmLTpk369ttv3R0GAADwclyTALgQyScAAAAAAAC4DMknAKiAgoICzZ49W927d1ebNm00bNgwnTlzpsRj//WvfykmJkaHDh1y2P7pp58qNjZWR48e1cqVK9WiRQt9+OGH6tKli7p27arffvtNkrR27VrdcccdatWqlTp37qzJkycrKytLUuGw+ieffFKSdNNNN2nChAlat26dYmJi9MYbb9hv69ChQ2rbtq3Gjx/viu4AAABuwjUJAE9G8gkAKmDKlCmaNWuW+vfvrzfffFN169bV1KlTSzz2tttuU0BAgD7++GOH7R999JGuv/56NWrUSJKUn5+vuXPnavLkyRo1apSaN2+u//znPxo+fLiaNm2qWbNm6bHHHtMnn3yiYcOGyTAMde/eXY8++qgk6c0339SwYcN000036fbbb9e8efN04MAB5efna8KECapXr56eeeYZ13YMAACoUlyTAPBkfu4OAACqq/T0dL377ru6//77NWLECElSfHy8jh8/ro0bNxY7PjQ0VL169dInn3yixx9/XCaTSSkpKdq0aZNefvllh2OHDh2q7t27SypcKSYhIUHx8fFKSEiwHxMVFaWBAwdq/fr16t69u6688kpJ0jXXXGO/aJw4caI2b96sSZMmKT4+Xjt37tQ777yjkJAQV3QJAABwA65JAHg6Rj4BgJN+/vlnWa1W3XTTTQ7bb7nlllLP+dvf/qbff/9d27ZtkyR9/PHHCgwMVJ8+fRyOi46Otv988OBBJScnq2fPnsrLy7N/xcXFKSQkRN9//32ptxcaGqrJkyfrxx9/1LRp0zR48GB16NDBmbsLAAA8FNckADwdyScAcJKtjkK9evUctkdERJR6TseOHdWoUSOtWrVKkrRq1SrdcsstCgoKcjguPDzc/nNaWpok6fnnn1fLli0dvjIyMpSSknLRODt16qSGDRuqoKBAPXv2LOvdAwAA1QTXJAA8HdPuAMBJdevWlSSlpqaqadOm9u22C7OSmEwm9evXT++8847uvfde7d+/Xy+88MJFbyc0NFSSNG7cOF1//fXF9tepU+ei58+aNUsnT55Us2bN9PTTT2vFihXy9/e/6DkAAKD64JoEgKdj5BMAOKldu3YKDAzUF1984bD9m2++ueh5/fv319mzZ/XKK68oKipK11133UWPb9q0qcLDw3X06FG1atXK/hUZGampU6dq165dkiQfn+Iv6Tt37tSCBQs0dOhQTZ06VQcPHnRYaQYAAFR/XJMA8HSMfAIAJ9WqVUvDhg3T9OnTFRQUpI4dO2r9+vWXvNBr2LChbrzxRn333XcaPXr0JW/H19dXo0eP1rPPPitfX1/16NFD6enpmj17to4fP66WLVtKOvfXyDVr1qhr165q3LixJkyYoCZNmuiRRx6Rv7+/7r//fi1atEg333yz2rRpU/FOAAAAbsc1CQBPR/IJACpgyJAhCg4O1pIlS7RkyRK1a9dO48eP16RJky56Xo8ePbRp0ybdfvvtZbqdv//976pVq5YWLlyo5cuXKzg4WO3bt1dCQoIaN24sSbrhhht04403aurUqdq8ebOaN2+ugwcP6v3337cPaR85cqS++uorjR8/Xh9//LECAgIqcvcBAICH4JoEgCczGYZhuDsIAPA2gwcPlq+vr+bOnevuUAAAgBfjmgRAVWDkEwBUoVmzZunQoUPasGGDli5d6u5wAACAl+KaBEBVIvkEAFXo66+/VlJSksaOHau4uDh3hwMAALwU1yQAqhLT7gAAAAAAAOAyxdfABAAAAAAAACoJyScAAAAAAAC4DMknAAAAAAAAuAzJJwAAAAAAALgMyScAAAAAAAC4DMknAAAAAAAAuAzJJwAAAAAAALgMyScAAAAAAAC4zP8DC/bnBB3wuG4AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Numeric univariate analysis\n",
+    "num_cols = [c for c in numeric_candidates if c in df.columns]\n",
+    "\n",
+    "if num_cols:\n",
+    "    desc = df[num_cols].describe(percentiles=[0.01, 0.05, 0.25, 0.5, 0.75, 0.95, 0.99]).T\n",
+    "    desc[\"missing_count\"] = df[num_cols].isna().sum()\n",
+    "    desc[\"missing_pct\"] = (df[num_cols].isna().mean() * 100).round(2)\n",
+    "    display(desc)\n",
+    "    desc.to_csv(OUTPUT_DIR / \"numeric_univariate_summary.csv\")\n",
+    "\n",
+    "    for col in num_cols:\n",
+    "        series = df[col].dropna()\n",
+    "        if series.empty:\n",
+    "            continue\n",
+    "\n",
+    "        p1, p99 = series.quantile([0.01, 0.99])\n",
+    "        clipped = series.clip(lower=p1, upper=p99)\n",
+    "\n",
+    "        fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n",
+    "        sns.histplot(series, bins=60, kde=True, ax=axes[0], color=\"#264653\")\n",
+    "        axes[0].set_title(f\"{col} (raw)\")\n",
+    "\n",
+    "        sns.boxplot(x=clipped, ax=axes[1], color=\"#E9C46A\")\n",
+    "        axes[1].set_title(f\"{col} (1%-99% clipped)\")\n",
+    "\n",
+    "        plt.tight_layout()\n",
+    "        plt.show()\n",
+    "else:\n",
+    "    print(\"No numeric columns from the candidate list were found.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "92775ba6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Date range: 2014-01-02 00:00:00 to 2024-12-31 00:00:00\n",
+      "Missing dlycaldt rows: 0\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>row_count</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2014</td>\n",
+       "      <td>44786</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2015</td>\n",
+       "      <td>44499</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>44535</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2017</td>\n",
+       "      <td>44428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2018</td>\n",
+       "      <td>44862</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2019</td>\n",
+       "      <td>45360</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2020</td>\n",
+       "      <td>45731</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2021</td>\n",
+       "      <td>45443</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2022</td>\n",
+       "      <td>45326</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2023</td>\n",
+       "      <td>45194</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2024</td>\n",
+       "      <td>45823</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    year  row_count\n",
+       "0   2014      44786\n",
+       "1   2015      44499\n",
+       "2   2016      44535\n",
+       "3   2017      44428\n",
+       "4   2018      44862\n",
+       "5   2019      45360\n",
+       "6   2020      45731\n",
+       "7   2021      45443\n",
+       "8   2022      45326\n",
+       "9   2023      45194\n",
+       "10  2024      45823"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Date univariate analysis\n",
+    "if \"dlycaldt\" in df.columns:\n",
+    "    min_dt = df[\"dlycaldt\"].min()\n",
+    "    max_dt = df[\"dlycaldt\"].max()\n",
+    "    missing_dt = int(df[\"dlycaldt\"].isna().sum())\n",
+    "\n",
+    "    print(f\"Date range: {min_dt} to {max_dt}\")\n",
+    "    print(f\"Missing dlycaldt rows: {missing_dt:,}\")\n",
+    "\n",
+    "    by_year = (\n",
+    "        df.dropna(subset=[\"dlycaldt\"])\n",
+    "        .assign(year=lambda x: x[\"dlycaldt\"].dt.year)\n",
+    "        .groupby(\"year\", as_index=False)\n",
+    "        .size()\n",
+    "        .rename(columns={\"size\": \"row_count\"})\n",
+    "    )\n",
+    "    display(by_year)\n",
+    "\n",
+    "    plt.figure(figsize=(10, 4))\n",
+    "    sns.barplot(data=by_year, x=\"year\", y=\"row_count\", color=\"#F4A261\")\n",
+    "    plt.title(\"Rows by year\")\n",
+    "    plt.xticks(rotation=45)\n",
+    "    plt.tight_layout()\n",
+    "    plt.show()\n",
+    "\n",
+    "    by_year.to_csv(OUTPUT_DIR / \"date_univariate_year_counts.csv\", index=False)\n",
+    "else:\n",
+    "    print(\"dlycaldt not available.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "17503c51",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>check</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ohlc_invalid_count</td>\n",
+       "      <td>277</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>dlyret_abs_gt_30pct_count</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>dlyret_abs_gt_100pct_count</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>dlyretx_abs_gt_30pct_count</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>dlyretx_abs_gt_100pct_count</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                         check  value\n",
+       "0           ohlc_invalid_count    277\n",
+       "1    dlyret_abs_gt_30pct_count     16\n",
+       "2   dlyret_abs_gt_100pct_count      0\n",
+       "3   dlyretx_abs_gt_30pct_count     16\n",
+       "4  dlyretx_abs_gt_100pct_count      0"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saved outputs:\n",
+      "- basic_sanity_checks.csv\n",
+      "- categorical_univariate_summary.csv\n",
+      "- date_univariate_year_counts.csv\n",
+      "- numeric_univariate_summary.csv\n",
+      "- schema_missingness_summary.csv\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Basic sanity checks\n",
+    "checks = {}\n",
+    "\n",
+    "if {\"dlylow\", \"dlyhigh\", \"dlyopen\", \"dlyclose\"}.issubset(df.columns):\n",
+    "    valid_ohlc = (\n",
+    "        (df[\"dlylow\"] <= df[\"dlyopen\"]) &\n",
+    "        (df[\"dlyopen\"] <= df[\"dlyhigh\"]) &\n",
+    "        (df[\"dlylow\"] <= df[\"dlyclose\"]) &\n",
+    "        (df[\"dlyclose\"] <= df[\"dlyhigh\"])\n",
+    "    )\n",
+    "    checks[\"ohlc_invalid_count\"] = int((~valid_ohlc).sum())\n",
+    "\n",
+    "if \"dlyret\" in df.columns:\n",
+    "    checks[\"dlyret_abs_gt_30pct_count\"] = int((df[\"dlyret\"].abs() > 0.30).sum())\n",
+    "    checks[\"dlyret_abs_gt_100pct_count\"] = int((df[\"dlyret\"].abs() > 1.00).sum())\n",
+    "\n",
+    "if \"dlyretx\" in df.columns:\n",
+    "    checks[\"dlyretx_abs_gt_30pct_count\"] = int((df[\"dlyretx\"].abs() > 0.30).sum())\n",
+    "    checks[\"dlyretx_abs_gt_100pct_count\"] = int((df[\"dlyretx\"].abs() > 1.00).sum())\n",
+    "\n",
+    "checks_df = pd.DataFrame(list(checks.items()), columns=[\"check\", \"value\"])\n",
+    "display(checks_df)\n",
+    "checks_df.to_csv(OUTPUT_DIR / \"basic_sanity_checks.csv\", index=False)\n",
+    "\n",
+    "print(\"Saved outputs:\")\n",
+    "for p in sorted(OUTPUT_DIR.glob(\"*.csv\")):\n",
+    "    print(\"-\", p.name)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b4a9543e",
+   "metadata": {},
+   "source": [
+    "Final Cleaned CRSP Output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d28eba93",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(493203, 21)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>permno</th>\n",
+       "      <th>permco</th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>cusip</th>\n",
+       "      <th>issuernm</th>\n",
+       "      <th>siccd</th>\n",
+       "      <th>naics</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>dlyopen</th>\n",
+       "      <th>dlyhigh</th>\n",
+       "      <th>dlylow</th>\n",
+       "      <th>dlyprc</th>\n",
+       "      <th>dlyret</th>\n",
+       "      <th>dlyretx</th>\n",
+       "      <th>dlyvol</th>\n",
+       "      <th>shrout</th>\n",
+       "      <th>dlycap</th>\n",
+       "      <th>sprtrn</th>\n",
+       "      <th>vwretd</th>\n",
+       "      <th>ewretd</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.21</td>\n",
+       "      <td>57.10</td>\n",
+       "      <td>57.100</td>\n",
+       "      <td>56.15</td>\n",
+       "      <td>56.21</td>\n",
+       "      <td>-0.017136</td>\n",
+       "      <td>-0.017136</td>\n",
+       "      <td>1916200.0</td>\n",
+       "      <td>331809</td>\n",
+       "      <td>18650983.89</td>\n",
+       "      <td>-0.008862</td>\n",
+       "      <td>-0.008757</td>\n",
+       "      <td>-0.004051</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.92</td>\n",
+       "      <td>56.39</td>\n",
+       "      <td>57.345</td>\n",
+       "      <td>56.26</td>\n",
+       "      <td>56.92</td>\n",
+       "      <td>0.012631</td>\n",
+       "      <td>0.012631</td>\n",
+       "      <td>1866700.0</td>\n",
+       "      <td>331809</td>\n",
+       "      <td>18886568.28</td>\n",
+       "      <td>-0.000333</td>\n",
+       "      <td>0.000491</td>\n",
+       "      <td>0.004096</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.64</td>\n",
+       "      <td>57.40</td>\n",
+       "      <td>57.700</td>\n",
+       "      <td>56.56</td>\n",
+       "      <td>56.64</td>\n",
+       "      <td>-0.004919</td>\n",
+       "      <td>-0.004919</td>\n",
+       "      <td>1777500.0</td>\n",
+       "      <td>331809</td>\n",
+       "      <td>18793661.76</td>\n",
+       "      <td>-0.002512</td>\n",
+       "      <td>-0.003340</td>\n",
+       "      <td>-0.001676</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>57.45</td>\n",
+       "      <td>56.95</td>\n",
+       "      <td>57.630</td>\n",
+       "      <td>56.93</td>\n",
+       "      <td>57.45</td>\n",
+       "      <td>0.014301</td>\n",
+       "      <td>0.014301</td>\n",
+       "      <td>1463200.0</td>\n",
+       "      <td>331809</td>\n",
+       "      <td>19062427.05</td>\n",
+       "      <td>0.006082</td>\n",
+       "      <td>0.006090</td>\n",
+       "      <td>0.006892</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>58.39</td>\n",
+       "      <td>57.33</td>\n",
+       "      <td>58.540</td>\n",
+       "      <td>57.17</td>\n",
+       "      <td>58.39</td>\n",
+       "      <td>0.016362</td>\n",
+       "      <td>0.016362</td>\n",
+       "      <td>2659500.0</td>\n",
+       "      <td>331809</td>\n",
+       "      <td>19374327.51</td>\n",
+       "      <td>-0.000212</td>\n",
+       "      <td>0.000155</td>\n",
+       "      <td>0.000835</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   permno  permco ticker     cusip                  issuernm  siccd   naics  dlyclose  dlyopen  dlyhigh  dlylow  dlyprc    dlyret   dlyretx     dlyvol  shrout       dlycap    sprtrn    vwretd  \\\n",
+       "0   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515     56.21    57.10   57.100   56.15   56.21 -0.017136 -0.017136  1916200.0  331809  18650983.89 -0.008862 -0.008757   \n",
+       "1   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515     56.92    56.39   57.345   56.26   56.92  0.012631  0.012631  1866700.0  331809  18886568.28 -0.000333  0.000491   \n",
+       "2   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515     56.64    57.40   57.700   56.56   56.64 -0.004919 -0.004919  1777500.0  331809  18793661.76 -0.002512 -0.003340   \n",
+       "3   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515     57.45    56.95   57.630   56.93   57.45  0.014301  0.014301  1463200.0  331809  19062427.05  0.006082  0.006090   \n",
+       "4   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515     58.39    57.33   58.540   57.17   58.39  0.016362  0.016362  2659500.0  331809  19374327.51 -0.000212  0.000155   \n",
+       "\n",
+       "     ewretd       date  \n",
+       "0 -0.004051 2014-01-02  \n",
+       "1  0.004096 2014-01-03  \n",
+       "2 -0.001676 2014-01-06  \n",
+       "3  0.006892 2014-01-07  \n",
+       "4  0.000835 2014-01-08  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# import pandas as pd\n",
+    "# from pathlib import Path\n",
+    "\n",
+    "# DATA_PATH = Path(\"../data/raw/crsp_v2_2014_2024.csv\")\n",
+    "# OUTPUT_DIR = Path(\"../data/processed\")\n",
+    "# OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "# df = pd.read_csv(DATA_PATH, low_memory=False)\n",
+    "\n",
+    "# # Keep only useful columns for modeling/dashboard\n",
+    "# keep_cols = [\n",
+    "#     \"permno\", \"permco\", \"ticker\", \"cusip\", \"issuernm\", \"siccd\", \"naics\",\n",
+    "#     \"dlycaldt\", \"dlyclose\", \"dlyopen\", \"dlyhigh\", \"dlylow\", \"dlyprc\",\n",
+    "#     \"dlyret\", \"dlyretx\", \"dlyvol\", \"shrout\", \"dlycap\",\n",
+    "#     \"sprtrn\", \"vwretd\", \"ewretd\"\n",
+    "# ]\n",
+    "\n",
+    "# keep_cols = [c for c in keep_cols if c in df.columns]\n",
+    "# clean_crsp = df[keep_cols].copy()\n",
+    "\n",
+    "# # Clean ticker/date\n",
+    "# clean_crsp[\"ticker\"] = clean_crsp[\"ticker\"].astype(str).str.strip().str.upper()\n",
+    "# clean_crsp[\"date\"] = pd.to_datetime(clean_crsp[\"dlycaldt\"], errors=\"coerce\")\n",
+    "\n",
+    "# # Drop bad rows\n",
+    "# clean_crsp = clean_crsp.dropna(subset=[\"ticker\", \"date\"])\n",
+    "\n",
+    "# # Remove duplicates\n",
+    "# clean_crsp = clean_crsp.drop_duplicates(subset=[\"ticker\", \"date\"])\n",
+    "\n",
+    "# # Sort\n",
+    "# clean_crsp = clean_crsp.sort_values([\"ticker\", \"date\"]).reset_index(drop=True)\n",
+    "\n",
+    "# # Optional: remove original date column if not needed\n",
+    "# clean_crsp = clean_crsp.drop(columns=[\"dlycaldt\"], errors=\"ignore\")\n",
+    "\n",
+    "# # Save\n",
+    "# clean_crsp.to_parquet(OUTPUT_DIR / \"clean_crsp.parquet\", index=False)\n",
+    "\n",
+    "# print(clean_crsp.shape)\n",
+    "# clean_crsp.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "a0b648a3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Project root: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\n",
+      "Data path: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\raw\\crsp_v2_2014_2024.csv\n",
+      "Exists? True\n",
+      "Output dir: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\n",
+      "Saved to: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\\clean_crsp.parquet\n",
+      "Shape: (493203, 21)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>permno</th>\n",
+       "      <th>permco</th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>cusip</th>\n",
+       "      <th>issuernm</th>\n",
+       "      <th>siccd</th>\n",
+       "      <th>naics</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>dlyopen</th>\n",
+       "      <th>dlyhigh</th>\n",
+       "      <th>dlylow</th>\n",
+       "      <th>dlyprc</th>\n",
+       "      <th>dlyret</th>\n",
+       "      <th>dlyretx</th>\n",
+       "      <th>dlyvol</th>\n",
+       "      <th>shrout</th>\n",
+       "      <th>dlycap</th>\n",
+       "      <th>sprtrn</th>\n",
+       "      <th>vwretd</th>\n",
+       "      <th>ewretd</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.21</td>\n",
+       "      <td>57.10</td>\n",
+       "      <td>57.100</td>\n",
+       "      <td>56.15</td>\n",
+       "      <td>56.21</td>\n",
+       "      <td>-0.017136</td>\n",
+       "      <td>-0.017136</td>\n",
+       "      <td>1916200.0</td>\n",
+       "      <td>331809</td>\n",
+       "      <td>18650983.89</td>\n",
+       "      <td>-0.008862</td>\n",
+       "      <td>-0.008757</td>\n",
+       "      <td>-0.004051</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.92</td>\n",
+       "      <td>56.39</td>\n",
+       "      <td>57.345</td>\n",
+       "      <td>56.26</td>\n",
+       "      <td>56.92</td>\n",
+       "      <td>0.012631</td>\n",
+       "      <td>0.012631</td>\n",
+       "      <td>1866700.0</td>\n",
+       "      <td>331809</td>\n",
+       "      <td>18886568.28</td>\n",
+       "      <td>-0.000333</td>\n",
+       "      <td>0.000491</td>\n",
+       "      <td>0.004096</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.64</td>\n",
+       "      <td>57.40</td>\n",
+       "      <td>57.700</td>\n",
+       "      <td>56.56</td>\n",
+       "      <td>56.64</td>\n",
+       "      <td>-0.004919</td>\n",
+       "      <td>-0.004919</td>\n",
+       "      <td>1777500.0</td>\n",
+       "      <td>331809</td>\n",
+       "      <td>18793661.76</td>\n",
+       "      <td>-0.002512</td>\n",
+       "      <td>-0.003340</td>\n",
+       "      <td>-0.001676</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>57.45</td>\n",
+       "      <td>56.95</td>\n",
+       "      <td>57.630</td>\n",
+       "      <td>56.93</td>\n",
+       "      <td>57.45</td>\n",
+       "      <td>0.014301</td>\n",
+       "      <td>0.014301</td>\n",
+       "      <td>1463200.0</td>\n",
+       "      <td>331809</td>\n",
+       "      <td>19062427.05</td>\n",
+       "      <td>0.006082</td>\n",
+       "      <td>0.006090</td>\n",
+       "      <td>0.006892</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>58.39</td>\n",
+       "      <td>57.33</td>\n",
+       "      <td>58.540</td>\n",
+       "      <td>57.17</td>\n",
+       "      <td>58.39</td>\n",
+       "      <td>0.016362</td>\n",
+       "      <td>0.016362</td>\n",
+       "      <td>2659500.0</td>\n",
+       "      <td>331809</td>\n",
+       "      <td>19374327.51</td>\n",
+       "      <td>-0.000212</td>\n",
+       "      <td>0.000155</td>\n",
+       "      <td>0.000835</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   permno  permco ticker     cusip                  issuernm  siccd   naics  dlyclose  dlyopen  dlyhigh  dlylow  dlyprc    dlyret   dlyretx     dlyvol  shrout       dlycap    sprtrn    vwretd  \\\n",
+       "0   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515     56.21    57.10   57.100   56.15   56.21 -0.017136 -0.017136  1916200.0  331809  18650983.89 -0.008862 -0.008757   \n",
+       "1   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515     56.92    56.39   57.345   56.26   56.92  0.012631  0.012631  1866700.0  331809  18886568.28 -0.000333  0.000491   \n",
+       "2   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515     56.64    57.40   57.700   56.56   56.64 -0.004919 -0.004919  1777500.0  331809  18793661.76 -0.002512 -0.003340   \n",
+       "3   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515     57.45    56.95   57.630   56.93   57.45  0.014301  0.014301  1463200.0  331809  19062427.05  0.006082  0.006090   \n",
+       "4   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515     58.39    57.33   58.540   57.17   58.39  0.016362  0.016362  2659500.0  331809  19374327.51 -0.000212  0.000155   \n",
+       "\n",
+       "     ewretd       date  \n",
+       "0 -0.004051 2014-01-02  \n",
+       "1  0.004096 2014-01-03  \n",
+       "2 -0.001676 2014-01-06  \n",
+       "3  0.006892 2014-01-07  \n",
+       "4  0.000835 2014-01-08  "
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "from pathlib import Path\n",
+    "\n",
+    "ROOT = Path.cwd()\n",
+    "if ROOT.name == \"notebooks\":\n",
+    "    ROOT = ROOT.parent\n",
+    "\n",
+    "DATA_PATH = ROOT / \"data\" / \"raw\" / \"crsp_v2_2014_2024.csv\"\n",
+    "OUTPUT_DIR = ROOT / \"data\" / \"processed\"\n",
+    "OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "print(\"Project root:\", ROOT)\n",
+    "print(\"Data path:\", DATA_PATH)\n",
+    "print(\"Exists?\", DATA_PATH.exists())\n",
+    "print(\"Output dir:\", OUTPUT_DIR)\n",
+    "\n",
+    "if not DATA_PATH.exists():\n",
+    "    raise FileNotFoundError(f\"CRSP file not found: {DATA_PATH}\")\n",
+    "\n",
+    "df = pd.read_csv(DATA_PATH, low_memory=False)\n",
+    "\n",
+    "# Keep only useful columns for modeling/dashboard\n",
+    "keep_cols = [\n",
+    "    \"permno\", \"permco\", \"ticker\", \"cusip\", \"issuernm\", \"siccd\", \"naics\",\n",
+    "    \"dlycaldt\", \"dlyclose\", \"dlyopen\", \"dlyhigh\", \"dlylow\", \"dlyprc\",\n",
+    "    \"dlyret\", \"dlyretx\", \"dlyvol\", \"shrout\", \"dlycap\",\n",
+    "    \"sprtrn\", \"vwretd\", \"ewretd\"\n",
+    "]\n",
+    "\n",
+    "keep_cols = [c for c in keep_cols if c in df.columns]\n",
+    "clean_crsp = df[keep_cols].copy()\n",
+    "\n",
+    "# Clean ticker/date\n",
+    "clean_crsp[\"ticker\"] = clean_crsp[\"ticker\"].astype(str).str.strip().str.upper()\n",
+    "clean_crsp[\"date\"] = pd.to_datetime(clean_crsp[\"dlycaldt\"], errors=\"coerce\")\n",
+    "\n",
+    "# Convert numeric columns safely\n",
+    "numeric_cols = [\n",
+    "    \"dlyclose\", \"dlyopen\", \"dlyhigh\", \"dlylow\", \"dlyprc\",\n",
+    "    \"dlyret\", \"dlyretx\", \"dlyvol\", \"shrout\", \"dlycap\",\n",
+    "    \"sprtrn\", \"vwretd\", \"ewretd\"\n",
+    "]\n",
+    "for col in numeric_cols:\n",
+    "    if col in clean_crsp.columns:\n",
+    "        clean_crsp[col] = pd.to_numeric(clean_crsp[col], errors=\"coerce\")\n",
+    "\n",
+    "# Drop bad rows\n",
+    "clean_crsp = clean_crsp.dropna(subset=[\"ticker\", \"date\"])\n",
+    "\n",
+    "# Remove duplicates\n",
+    "clean_crsp = clean_crsp.drop_duplicates(subset=[\"ticker\", \"date\"])\n",
+    "\n",
+    "# Sort\n",
+    "clean_crsp = clean_crsp.sort_values([\"ticker\", \"date\"]).reset_index(drop=True)\n",
+    "\n",
+    "# Optional: remove original date column if not needed\n",
+    "clean_crsp = clean_crsp.drop(columns=[\"dlycaldt\"], errors=\"ignore\")\n",
+    "\n",
+    "# Save\n",
+    "output_file = OUTPUT_DIR / \"clean_crsp.parquet\"\n",
+    "clean_crsp.to_parquet(output_file, index=False)\n",
+    "\n",
+    "print(\"Saved to:\", output_file)\n",
+    "print(\"Shape:\", clean_crsp.shape)\n",
+    "clean_crsp.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6d643cdd",
+   "metadata": {},
+   "source": [
+    "## Interpretation Notes (Fill After Run)\n",
+    "\n",
+    "Use this section to summarize:\n",
+    "- Which variables are most skewed or heavy-tailed\n",
+    "- Which flags dominate the universe (e.g., EQTY/NS/Y/N)\n",
+    "- Whether missingness is concentrated in specific fields\n",
+    "- Whether basic sanity checks show data quality concerns\n",
+    "- Which columns look most ready for feature engineering\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/EDA_Trancripts.ipynb b/notebooks/EDA_Trancripts.ipynb
similarity index 54%
rename from EDA_Trancripts.ipynb
rename to notebooks/EDA_Trancripts.ipynb
index d56bef8..eb35570 100644
--- a/EDA_Trancripts.ipynb
+++ b/notebooks/EDA_Trancripts.ipynb
@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 8,
    "id": "c7bde2fa",
    "metadata": {},
    "outputs": [
@@ -48,38 +48,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "b8f7a95d",
+   "execution_count": 9,
+   "id": "00782f01",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Data path: H:\\My Drive\\Project\\FA Project\\Transcripts Machine Readable Data.csv\n",
-      "Output path: H:\\My Drive\\Project\\FA Project\\eda_outputs_transcripts\n"
+      "Project root: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\n",
+      "Data path: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\raw\\Transcripts Machine Readable Data.csv\n",
+      "Exists? True\n",
+      "Output path: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\n"
      ]
     }
    ],
    "source": [
-    "# Config\n",
-    "DATA_PATH = Path(\"Transcripts Machine Readable Data.csv\")\n",
-    "OUTPUT_DIR = Path(\"eda_outputs_transcripts\")\n",
+    "from pathlib import Path\n",
+    "import numpy as np\n",
+    "\n",
+    "# Find project root\n",
+    "ROOT = Path.cwd()\n",
+    "if ROOT.name == \"notebooks\":\n",
+    "    ROOT = ROOT.parent\n",
+    "\n",
+    "DATA_PATH = ROOT / \"data\" / \"raw\" / \"Transcripts Machine Readable Data.csv\"\n",
+    "OUTPUT_DIR = ROOT / \"data\" / \"processed\"\n",
     "OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n",
     "\n",
     "ID_COLS = [\"Symbol\", \"Company Name\", \"Metrics\"]\n",
     "INVALID_TOKENS = {\"#INVALID COMPANY ID\": np.nan, \"NA\": np.nan, \"\": np.nan}\n",
     "\n",
-    "if not DATA_PATH.exists():\n",
-    "    raise FileNotFoundError(f\"Dataset not found: {DATA_PATH}\")\n",
+    "print(\"Project root:\", ROOT)\n",
+    "print(\"Data path:\", DATA_PATH)\n",
+    "print(\"Exists?\", DATA_PATH.exists())\n",
+    "print(\"Output path:\", OUTPUT_DIR)\n",
     "\n",
-    "print(f\"Data path: {DATA_PATH.resolve()}\")\n",
-    "print(f\"Output path: {OUTPUT_DIR.resolve()}\")"
+    "if not DATA_PATH.exists():\n",
+    "    raise FileNotFoundError(f\"Dataset not found: {DATA_PATH}\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 10,
    "id": "db487e9a",
    "metadata": {},
    "outputs": [
@@ -470,7 +481,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 11,
    "id": "681ec3e3",
    "metadata": {},
    "outputs": [
@@ -1026,7 +1037,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 12,
    "id": "6c268dcc",
    "metadata": {},
    "outputs": [
@@ -1281,7 +1292,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 13,
    "id": "6db6cae6",
    "metadata": {},
    "outputs": [
@@ -1428,7 +1439,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 14,
    "id": "381d024b",
    "metadata": {},
    "outputs": [
@@ -1649,13 +1660,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 15,
    "id": "6d7a7c13",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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9elQURVHcuHGjGBAQIF6/ft24zcCBA8W33npLFEVR/PLLL8XWrVsbs4miKB44cEBctmyZaDAYjNkiIyMr7OeuXbvETp06iQEBAWJAQIAYEhIijh07Vvz9999LtHvttdfEjh07luhrRkaGGB4eLn7wwQdl9sOUbdavXy8GBgaKUVFRxjYFBQXigAEDxB9++EEURVHs2bOn+Oabbxrv37JlixgQECDeuHFDFEVRnDlzptirVy/j/Wq1WgwLCxNXrFhRZq57txdFUXz66afFESNGGL8/d+6cGBAQIJ44caLc5y4yMtL4vN39FRgYKD766KPijh07jG01Gk2Zz+vatWvFgIAAMTk5WRRFUfzss8/EgICAEm0CAgLEzz77TBRFUfzoo4/EFi1alPjZEEVRHDVqlNi5c2exsLCw3LymKqtP935t2bJFFEVRvHHjRonvx44dK44ePbrE/r777jtx27ZtZfZHFEVx+PDh4oABA0S9Xm+8LSsrS2zXrp34yiuviKIoikuXLhVbtWolJiUlGdvcvHlTbNGiRYmf84CAAPGZZ54p8fjbtm0Tx48fX+K5KSwsFMPDw8U5c+aU6Merr75qbJOSkiIGBASIzz33nPE2g8EgtmnTRpw3b165z9+GDRvEgIAAMSsrq9TzWplsxa93rVYrimLRz/uQIUPEgIAA8dq1a6IoiuKKFSvEzp07G1//xSIiIsSPPvqo3KxEVDU4ZuCYoS6OGYrfO8v6ateunXj58mVj2+L3xpMnT5bYx6xZs8RWrVqJGRkZoigWvf937dpVjIyMFL/88kuxefPmJZ7X4j7fPa5Qq9Vi586dxSlTpoiiWPoYmjLOuHc8U56OHTvedwwgiqV/Bov9+OOPYlhYmNi8eXPx1VdfFTUajXjw4EGxW7duYkFBgfjTTz+JjzzyiBgZGSlevHjxvo+h0WjE3r17iz179hQPHz4s5uTkiCdOnBAHDBggBgUFicuXLxdFURRff/11sUWLFuLmzZvFzMxMMTY2Vhw7dqzYqlUr8fnnnxdFsWhsM2fOHDE4OFgMCQkRV61aJYqiKC5evFicMmWKqNfrxYULF4r9+/cXX331VTEtLa3cXPv37xcDAgLEvXv3Gm8zGAziM888Iy5durTU83Pv8178erv7d6fBYBAff/xxcejQoSW2Kc5fbN68eWKLFi3ErKwsMTs7WwwNDRXfeeedUscgICBAvHLliiiKojh06FDjfot9+eWXZf4sZGdniwEBAeKGDRvK7T9VHc58ojpDr9dj+/bt6NOnDzQaDbKzs2FtbY327dtj8+bNJa5O4e/vD3t7e+P3xedqq9VqAMD48ePx4YcfIj8/H9HR0dixY4fxKjj3Xmmi2ODBg2FjY2P8JPPff/9FbGwshg4dCgCIiIhAQUEBHn30USxZsgSnTp1Cly5dMHny5Ac+H7tfv344cOAAVq9ejbFjx6Jp06Y4fPgwpk2bhqlTpxqn1x89ehTt27eHtbW18dMte3t7tG3btsSsjLuZss3JkyfRsGHDEp8UWVlZYceOHcbz4Cvy2GOP4ebNm8ZTF/7880/k5+fj0UcfNfl5GDZsGE6ePGn8FGjr1q1o3Lgx2rZte9/tWrRogZ9++gk//fQTPv/8cwQEBMDX1xdLliwpMfNFpVJhzZo1GDRoEFJSUnDixAls2rTJOOW5vJ+Fex0/fhxhYWFo1KhRqefgzp07uHbtWpnbPegMpqeeesrYr7u/vvjii/tu1759exw+fBjPPfccvv76a8TGxiIyMhJPPPFEme3z8/Nx/vx5DBo0qMQ6IY6OjujZs6fxU7KjR48iLCysxFoIDRo0QFhYWKl9BgQElPj+iSeewKpVq6DT6XD16lXs3bsXy5YtQ2FhYann/e79ubu7AwBCQ0ONtwmCACcnp1KnW9ztxo0bcHR0LPMTzMpk6969O/Lz840/30ePHsXzzz8POzs7nDhxAkDRKSM9e/Ys9fqvX7++yVd4IqLK4ZiBY4a6PmaYPHmysV8bN27EkiVL4Ofnh2eeeQYXL140ZmnQoIFxts/dWTQajfF4ODo6Yt68eTh+/DiWLFmCCRMmlHpe5XI5Bg8ebPze2toa3bp1M55+eTdTxxmmUKvVSEtLQ8OGDU3e5m5PPvkkTp48iTNnzmDJkiVQKpX4+OOPMWXKFMTFxWHevHl455130KdPH7z00kvG01jvPR6iKBp/Rry9vTF69GiEh4fj1VdfxSuvvAIAxhl47733Hh577DHMnj0b7dq1w9ChQxEWFoZWrVoZZyoKgoD/+7//w5kzZ3D69GmMHz8eycnJ2LBhA1599VVs2LAB//zzD5YtWwaZTIa5c+eW28eTJ09CqVSWmIktCAJ++OEHYzZT3D0LUBAE9O3bFxcvXjT+rgRgXKOqWP/+/aHT6XD27FmcOXMGarUavXr1KvHcFZ9S+c8//6CgoAAXL140nnJZbODAgWVmcnBwgKOjI8dV1YQLjlOdceDAAaSmpmLr1q1lXvpz//796NOnDwAYf3EXk8mK6rTFb9Tp6el49913sXfvXgiCAB8fH+Mbr1jOujH29vYYMGAAtm/fjsmTJ2Pbtm3w8fExvvmGhYXhq6++wjfffIM1a9Zg5cqVcHd3x4QJE4xXt3gQSqUSXbt2NS6MmpKSgnnz5mHXrl04cOAAevbsiczMTPzxxx8lzrkuVt5CnqZsk5mZWea58Q+iQ4cO8Pb2xu+//47Q0FD89ttvaNu27QMNDgYNGoQFCxZg+/btGD9+PHbs2GHSc2lnZ4dWrVoBAFq1aoWwsDA8/vjjGDt2LLZt21biuTl06BAWLFiAa9euwc7ODoGBgbCzswNQ/s/CvbKyssrsV7169QAA2dnZZW5372kUkydPxpQpU8p9HA8PD2O/7lbRG+748eNhZ2eHLVu24MMPP8QHH3yAgIAAzJo1Cx07dizVPicnB6IoGvPf26fiIk96enqZp4K4u7vjzp07pba7W0FBAd5//3388ssv0Ov1aNiwIcLCwqBQKEo973f/UVjs3td4RXJzc8vdpjLZAgMDUb9+fRw+fBj16tXD7du30bFjR4SHh+PYsWPo378//v333zLXirCxsUFubu4D5SeiB8MxA8cMdX3M0KBBgxJjhrCwMHTv3t24xs7KlSuRlZVV7nv9vVk6duwIb29vJCYmlrn+kqura6k1stzc3JCVlVWqranjDFMUZ7zfqZUVkclkxvWVfvnlF2i1WgwZMgTLly9H27ZtERERgfDwcCxduhRnz55F/fr1SxVHFi5ciKFDh8LHxwcbNmxAWloaMjMz4ePjg8TERBgMBuOaW3Z2dliwYAHefvtt3L59Gw0aNICtra1xjbq7qVQq478//fRTPPLII2jSpAnmzJmDxx57DM2aNcOoUaPwzDPPoLCwsMyLC2RmZsLZ2dn4u62y7l143c3NDaIoljhe955WW/z6yc7ONv5OLW8drZSUFGRlZUEUxVK/k+53ZUyOq6oPi09UZ/z0009o0KBBmZdbnTp1KjZu3GgcSFbkjTfeQGxsLL7++mu0adMGKpUKarUamzdvvu92w4YNw7Zt2/Dvv/9i165dJRZVBmAc+KnVahw9ehTr1q3DggUL0Lp16xIzNe7nmWeegZ+fX6l+enh4GAeSMTEx6NmzJxwcHNCpUyeMGTOm1H4UirJ/PZiyjYODQ5kFjTNnzsDe3t6kK6QIgoBHH30Uv/zyCyZNmoSDBw+WuJSxKezs7DBgwADs2LEDzZs3R3Z2drmzde7Hzc0N77zzDqZMmYL58+fj448/BlB0Dv6kSZPQu3dvfPnll8ZLym7YsAGHDh0yef9OTk7GRV/vVlyAcXFxKXO7uxf0BO7/xvowZDIZRowYgREjRiAtLQ1//fUXVq5ciSlTpuDw4cMlBjZA0fEXBKHcPjk7OwMAvLy8ylwnpLy1Q+42f/587Nq1C0uXLkWnTp2Mg8ayimFVwcXFxeTBrKnZunXrhsOHD8PDwwO+vr7w9PRE+/btsW7dOvzzzz9QKpVl9ic7Oxv169d/+E4RUbk4ZuCYgWOG0uzs7NC4cWMkJCQYsxT/u6Isn3/+OVJTU9G0aVPMnj0bW7ZsKTF+yMzMhCiKJWbupaamllmYNHWcYYrijOUV7R6EVqvFZ599hlmzZkEulyMtLc1YMJLJZLC3t0dqaipat25d6ng0bNgQBQUF2LVrF9q0aYNGjRoZ+1480yw4OBhAUfHb0dER4eHhxtdHWloaEhMTjW3udfXqVezYscO4rllaWprxeXJ0dERhYSEyMjLKLOg5ODggMzMTBoOhRAEqKioKer2+zA82y5KRkVGiAJWamgq5XA5nZ2fjxRIyMzNLbFM8JnRzc4NGowEALF68GL6+vqX2X69ePWOR7N6fjXv3e7fs7OxyXzdUtXjaHdUJqampOHToEAYPHmy8as3dX4MGDcI///xT4RVbip06dQr9+/dHhw4djG+cBw8eBID7TmOOiIiAr68vFi1ahIyMjBKDmg8//BDDhw+HKIqwsbFBz549jVcBSUxMBACTPnFo0KABdu7cWWZfihfTKz5NqF27doiJiUHz5s3RqlUrtGrVCi1btsQ333yDPXv2lLl/U7Zp27Ytbty4gcuXLxu302q1mDJlCn788UeT+/L4448jOTkZy5YtgyAIZS72XKy8/Q0fPhxXrlzB2rVr0aFDh0r/0d6vXz907doVv/32m3E694ULF6DRaDBx4kTjIBKAcRBZ/ClmRX2NiIjAmTNnSh2z7du3w93dHT4+PmVuV/z8F3+ZeinfB/XMM89g3rx5AIre/IcOHYoRI0YgJyfH+EnR3X20tbVFy5Yt8ccff5Q4NSUnJ6fEYpzF/b57ltOdO3dw9uzZCjOdOnUK7du3R58+fYzFnQsXLiA9Pb3CUwkqo379+sjPzy/zE9jKZuvRowfOnz+PAwcOGD+p7NChA5KTk/Hdd9+hY8eOpWZUiKKI5ORkNGjQoAp7R0R345ihCMcMHDPcKzc3F7GxscbHiIiIwK1bt0qdGrd9+3YolUrjYu/nz5/HqlWr8OKLL+Ljjz/GtWvXSlz9Dig67fDuIlxBQQEOHjxY5ocwpo4zyprFcy+VSgV3d3fj6+ZhfPfdd/Dw8DAWpt3c3IxFEK1Wi8zMTLi6ukKlUpU6Hi4uLlAqlXj//feNP/cAUFhYiPXr18PHx8f4Wty4cWOJRbgB4Ntvv4VcLi91FbxiixcvxsiRI43H3c3NzTj+unPnjrEIVJa2bdtCp9Phr7/+Mt4miiLefvvtCpduuNvdV8cTRRG7d+9GeHh4iSLkvVfQ27VrF2xsbBAaGorQ0FAolUokJyeXeO6KT3W8efMmrKysEBYWht27d5eYTVjelfkyMzOhVqv5oV41YfGJ6oRt27ZBr9eXOJf8bkOGDIHBYCjxy/5+QkJC8Ouvv+KXX37BsWPHsHLlSsycOROCIJQ4b7ksw4YNw/Hjx43Tj4t17NgRFy5cwMyZM/HPP//gwIEDmDdvHpydndGhQwcARZ9MxMXF4ciRI+X+ETxt2jTY2dlh+PDh+Pzzz3H48GEcPXrU+KbfrVs346VVX375ZVy/fh0TJ07E3r17cejQIUyZMgW///57uVf2MGWboUOHolGjRnjppZfwyy+/4NChQ5g6dSoKCgqMn9w6Ojri0qVLOH78OAoKCsp8LH9/f7Ro0QLff/89evXqBQcHh3Kf1+K1ePbs2WO8mhoAhIeHo0mTJjh+/LhxrYzKmjVrFpRKJebNmwe9Xo8WLVpAoVBg0aJF+Oeff7B//35MmTIFBw4cAADjpZmLs/32229lDvDHjBkDZ2dnjBkzBj///DP++usvTJs2DUePHsW0adMeeprzw4qIiMAPP/yAlStX4tixY9i+fTu+/vprtGvXzjit2dHREWfOnMGJEycgiiJef/11JCQkYPz48di3bx927tyJUaNGQavVYvLkyQBgXONo3Lhx2LVrF3bt2oVx48ZBq9VWuGZJSEgI/v77b/zwww84fvw41q1bhwkTJpj0GqyMzp07A0CZV6aqbLaOHTtCLpdj//79xuJTcHAwHB0dcfr06TIHkJcvX0ZOTo7x1BgiqnocM3DMwDFD0Uyts2fPGr/27t2L8ePHQ6vVYvz48QCKjp2/vz8mT56MH374AX///Tf+7//+D1u2bMHEiRPh6OgIrVaLmTNnws/PDy+88AKaN2+O559/HmvWrDGuCXX3c/bTTz9h//79GD9+PPLz841XJryXKeOM4p+BI0eOlHqsu3Xu3Nmk9/f7yc7Oxpdffok33njDeFvPnj1x4sQJbNu2DUuWLIGjoyNat25d7j7kcjmee+45rFu3DuvXr8eRI0cwdepUnD59GrNmzTIe25EjR+Ls2bOYP38+jhw5giVLluDLL7/E2LFjS60FBhStzXX27FnjcQOK1p7cvHkzDhw4gJUrV6Jbt27lzmDs0aMHwsLC8NZbb+GHH37A4cOHMWvWLFy5cgUTJkww+TlatGgRvv32Wxw8eBBTp05FbGxsqTWjdu7cifnz5+Pvv//GJ598gg0bNuDll1+Gra0tXFxcMH78eHz66adYunQpjhw5gp9//hkvvfQSrl+/bvyd8tprryE2NhaTJ0/GwYMHsW7dOnz22WdlZiounHbp0sXkflDlsfhEdcK2bdvQrFmzcgdHISEhaNKkCbZs2WLSgo8ffPABQkND8f7772PSpEnYu3cv3nvvPXTp0gUnT56877Y9evQAgFKDmm7dumHx4sW4evUqJk+ejNdeew02NjZYt26d8ZOIESNGQKlUYsKECcZPTe/VsGFDbNu2DY8++ih+/fVXvPzyy5g4cSJ+/fVXjBs3Dp9//rnxD/ugoCBs2LABgiBgxowZmDp1Ku7cuYPPP/8c/fr1K3P/pmxjb2+P9evXIywsDPPnz8crr7wCjUaD7777zvhp39ixY5Gamopx48aVexldoOiTzMLCwlILEN6rffv26NSpEz7++GN8+OGHpZ5zBwcH9O3b9777qEiTJk0wcuRIXLlyxfgp1Mcff4zk5GS89NJLxsu8fvfddxAEwfiz0K9fP7Rq1QozZ87EmjVrSu3X3d0dP/zwA1q2bGl8vhITE7FixQoMGzbsoTJXhVdeeQUvvvgitmzZgvHjx+ODDz5Aly5dSryRv/jiizh//jwmTJiAxMREdOzYEV9//TW0Wi1ee+01zJkzB56envjxxx+NU8QdHR2xbt06uLq6YsaMGXjvvffQr18/hIaGVrj2wsyZM9GnTx8sXboUEydOxObNm/HSSy/hqaeewpkzZ0p8EloVGjVqhBYtWpT41O9hsxUvXgwUzQ4Aij7xLl7Tpfh3xd0OHjwId3d3tGnTpop6RkT34piBYwaOGYAvvvgCTz/9NJ5++mk8++yzmDVrFmxsbLBmzRrj+5SNjQ2+++479OrVC5999hleeuklnDp1CvPnzzeuJ7V06VJcu3YN8+bNM85wmTp1Kry9vfHmm28aT6UCgLlz52LFihWYNm0aVCoVfvjhh3JncpkyzrC3t8eYMWNKFM7K0r9/f0RHRxtP/aqMlStXIiwsrMRC6iEhIXjttdfw0UcfYf/+/Vi6dCmsra3vu58pU6Zg9OjRWL16NV5++WWkp6fjq6++KjEm6NKlCz7++GMcPnwYL774Inbv3o3Zs2fj9ddfL3OfixYtwgsvvFDioimjRo1CREQEXn/9deh0Orz33nvlZpLL5Vi1ahUGDBiAZcuW4eWXX0ZcXBxWr15d5kViyjN37lz8+OOPmDx5Mu7cuYO1a9eWWnj+lVdeQWxsLF5++WXs2rUL77zzTok1nl599VXMnDkTe/bswYQJE7Bo0SKEh4dj/fr1xmJj27ZtsWrVKiQnJ2Py5MnYuHEjFixYUGamgwcPIiQkhDPKq4kgmrq6HRFViVWrVmH16tU4dOhQqbVyqOqJoohHH30U7du3x5w5c6SOQ3c5d+4cMjMz0b17d+Nter0ePXr0wODBg/HWW29JmK60Xbt2YdasWTh06NBDLUxaWaIool+/fhgxYgRGjx5d7Y9PRNWPY4bqxTGDNJYtW4bly5eXOPWyOomiiMcffxz9+/fHpEmTJMlQm23duhVvvfUW9u3bV+5FAG7evInevXsbF16vDnl5eejatSs++ugjk9fwo4fDBceJqsm2bdtw5coVfP/993jhhRc4iDSz3NxcfPPNNzh//jzi4+OxYsUKqSPRPW7fvo1p06Zh0qRJaNeuHdRqNTZu3IicnBw89dRTUscrpV+/fvj666/x/fffl5i6Xl127NgBg8Fg8qXHiajm4pihenHMULcJgoA33ngDs2bNwqhRo8q8Si7VPt9//z0CAgJKXXmQzIfFJ6JqEh0dbbw6zoOcH02VY21tjY0bN8JgMGD+/PklFvckyzBw4EBkZmbi+++/x5o1a6BUKhEaGor169ejadOmUscrRRAEfPTRR4iMjMTQoUPLvbS4OWi1WixZsgQffvhhhVP2iajm45ihenHMQN26dTNeibC809eo9khPTzeurVXROqNUdXjaHRERERERERERmQ0XHCciIiIiIiIiIrNh8YmIiIiIiIiIiMyGxSciIiIiIiIiIjIbLjh+jzNnzkAURSiVSqmjEBERUR2h0+kgCALCwsIeaj8cxxAREVF1MnUMI/nMp1u3biEwMLDU1+bNmwEAUVFRiIyMROvWrdGjRw+sWbOmxPYGgwGfffYZunbtitDQUIwdOxYJCQmVziOKIsy9BrsoitBqtWZ/HKoYj4Xl4LGwDDwOloPHwnJUx7GoqvFHdYxjLEVdf42w/+w/+8/+s//svyUwdewh+cyny5cvw8rKCnv37i1xmUMHBwdkZGRgzJgx6NOnD9577z2cPXsW7733HpydnTFs2DAAwIoVK7Bx40YsXLgQnp6eWLRoESZMmIDffvsNKpXqgfMUf1LYqlWrqulgGfLz8xEVFQV/f3/Y2tqa7XGoYjwWloPHwjLwOFgOHgvLUR3H4vz581Wyn+oYx1iKuv4aYf/Zf/af/Wf/2X9L6L+pYxjJi09XrlyBn58fPDw8St337bffQqVSYe7cuVAoFGjatCkSEhKwatUqDBs2DFqtFmvXrsX06dPRvXt3AMCSJUvQtWtX7NmzB4MHD67u7hARERERERER0V0kP+3u8uXL8Pf3L/O+kydPIiIiAgrF/2pkHTp0QFxcHNLS0hAdHY28vDx06NDBeL+joyOCg4Nx4sQJs2cnIiIiIiIiIqL7s4iZT+7u7njuuecQHx8PHx8fvPzyy+jatSuSkpIQEBBQon3xDKnbt28jKSkJAODt7V2qTWJiYqUziaKI/Pz8Sm9fEbVaXeL/JB0eC8vBY2EZeBwsB4+F5aiOYyGKYonlB4iIiIhqE0mLT1qtFvHx8bCxscGMGTNga2uL7du3Y8KECfj6669RUFBQat0mKysrAIBGozEOAstqk5WVVelcOp0OUVFRld7eVPHx8WZ/DDINj4Xl4LGwDDwOloPHwnKY+1hUZq1KIiIioppA0uKTSqXCiRMnoFAojAOuli1bIjY2FmvWrIG1tTW0Wm2JbTQaDQDA1tYW1tbWAIqKWMX/Lm5jY2NT6VxKpbLcUwGrglqtRnx8PHx9fR8qJz08HgvLwWNhGXgcLAePheWojmMRExNjlv0SERERWQLJT7sra3X2gIAA/P333/Dy8kJKSkqJ+4q/9/T0hF6vN97WuHHjEm2CgoIqnUkQhGpZNd7GxsYiVqcnHgtLwmNhGXgcLAePheUw57HgKXdERERUm0m64Hh0dDTCwsJw8uTJErdfuHAB/v7+iIiIwKlTp1BYWGi878iRI/Dz84ObmxuCgoJgb2+PY8eOGe/Pzs7GpUuX0LZt22rrBxERERERERERlU3S4lNAQACaNWuG9957DydPnkRsbCwWLlyIs2fP4sUXX8SwYcOQm5uLt99+GzExMdi6dSu+/fZbTJw4EUDRaXuRkZFYvHgx9u3bh+joaEybNg1eXl7o27evlF0jIiIiIiIiIiJIfNqdTCbDypUrsXjxYrz66qvIzs5GcHAwvv76awQGBgIAVq9ejfnz52PIkCFwd3fHjBkzMGTIEOM+pk6dCr1ej9mzZ6OgoAARERFYs2YNF+0kIiIiIiIiIrIAkq/55OrqigULFpR7f0hICDZt2lTu/XK5HNOnT8f06dPNEY+IiIiIiIiIiB6CpKfdERERERERERFR7cbiExERERERERERmY3kp90REdUmar0OeoOhwnYKmQw2CmU1JCIiIiIiIpIWi09ERFVIbzBg3YXTFbZ7vmWbakhDREREREQkPZ52R0REREREREREZsPiExERERERERERmQ2LT0REREREREREZDYsPhERERERERERkdmw+ERERERERERERGbD4hMREREREREREZkNi09ERERERERERGQ2LD4REREREREREZHZsPhERERERERERERmw+ITERERERERERGZDYtPRERERERERERkNiw+ERERERERERGR2bD4REREREREREREZqOQOgAREREREdGDys3NxY0bN2BjYyN1lGqnVquRmprK/ldR/+3t7eHq6loFyYioPCw+ERERERFRjZKRkYEff9wEvb5Q6ihUC6iUSrz3f//HAhSRGbH4RERERERENUpubi70+kIMam8PV8e69ydNWrYeO47lYmB7e7jVwf5XpfRsPf44lovc3FwWn4jMiL+piIiIiIioRnJ1VMDTte7+SeNWx/tPRDUHFxwnIiIiIiIiIiKzYfGJiIiIiIiIiIjMhsUnIiIiIiIiIiIyG54gTFSHqPU66A2GCtspZDLYKJTVkIiIiIiIiIhqOxafiOoQvcGAdRdOV9ju+ZZtqiENERERERER1QU87Y6IiIiIiIiIiMyGxSciIiIiIiIiIjIbFp+IiIiIiIiIiMhsWHwiIiIiIiIiIiKzYfGJiIiIiIiIiIjMhsUnIiIiIiIiIiIyGxafiIiIiIiIiIjIbFh8IiIiIiIiIiIis2HxiYiIiIiIiIiIzIbFJyIiIiIiIiIiMhsWn4iIiIiIiIiIyGxYfCIiIiIiIiIiIrNh8YmIiIiIiIiIiMyGxSciIiIiIiIiIjIbFp+IiIiIiIiIiMhsWHwiIiIiIiIiIiKzYfGJiIiIiIiIiIjMhsUnIiIiIiIiIiIyGxafiIiIiIiIiIjIbBRSByAiKtbIzw86mYAcrabcNgqZDDYKZTWmIiIiIiIioodhUcWnuLg4DB06FHPmzMHQoUMBAFFRUZg/fz4uXLgAZ2dnjBw5EuPGjTNuYzAYsHz5cmzevBnZ2dkIDw/Hu+++Cx8fH6m6QUSVJZfh63MnoFSWX1x6vmWbagxERERERERED8tiTrvT6XR44403kJ+fb7wtIyMDY8aMga+vL7Zs2YIpU6bg008/xZYtW4xtVqxYgY0bN2LevHnYtGkTBEHAhAkToNVqpegGERERERERERHdxWKKT8uWLYOdnV2J23788UeoVCrMnTsXTZs2xbBhwzB69GisWrUKAKDVarF27VpMmTIF3bt3R1BQEJYsWYLk5GTs2bNHim4QEREREREREdFdLKL4dOLECWzatAkffvhhidtPnjyJiIgIKBT/OzuwQ4cOiIuLQ1paGqKjo5GXl4cOHToY73d0dERwcDBOnDhRbfmJpKbW65Cj1VT4ZRBFqaMSERERERFRHSP5mk/Z2dmYMWMGZs+eDW9v7xL3JSUlISAgoMRtHh4eAIDbt28jKSkJAEpt5+HhgcTExEpnEkWxxOl/VU2tVpf4P0mnthwLnUzA1+cqLriODo2ATqersJ3BYDDra6AsarUaUMih0+vv206KbA/CIBMs9jk2RW15TdQGPBaWozqOhSiKEATBbPsnIiIikpLkxae5c+eidevWePTRR0vdV1BQAJVKVeI2KysrAIBGozEOAstqk5WVVelMOp0OUVFRld7eVPHx8WZ/DDJNTT8Wjfyb4k5qaoXtRFE0qZ1Go0FMTGxVRHsgjfybIjMz875tpMpmKlOPhaX3o6a/JmoTHgvLYe5jce94hoiIiKi2kLT49PPPP+PkyZP49ddfy7zf2tq61MLhGk3RJdhtbW1hbW0NoGjtp+J/F7exsbGpdC6lUgl/f/9Kb18RtVqN+Ph4+Pr6PlROeni15VjoZALc69WrsJ0glN/OIIrI1WlRKBpwIz8Xjfybwl5ZfX8IqdVqFAJwdnaGUlH+ryYrKys0b9682nI9KFOPhaX2o7a8JmoDHgvLUR3HIiYmxiz7JSIiIrIEkhaftmzZgrS0NPTo0aPE7e+++y7WrFmD+vXrIyUlpcR9xd97enpC/9/pOSkpKWjcuHGJNkFBQZXOJQgCbG1tK729qWxsbKrlcahiNf1Y5Gg1UCqVFbYTIJRoV2gw4EpGKuKzM3EzJws6gwEA8FNMFAQAzVzqoa1XAzwdFAJ/FzdzxTfK1WmhVCju2xeZTAZbayuzZ6ksU4+Fpfejpr8mahMeC8thzmPBU+6IiIioNpO0+LR48WIUFBSUuK1fv36YOnUqBg0ahN9//x0bN25EYWEh5HI5AODIkSPw8/ODm5sbHBwcYG9vj2PHjhmLT9nZ2bh06RIiIyOrvT9ENYVBFHElIxUnEm8iR/e/2YVyQYBSJoe1QoFMTQGuZKTiSkYqvo86h64NffFyWAeEuHtJmJyIiIiIiIhqGkmLT56enmXe7ubmhgYNGmDYsGFYvXo13n77bYwfPx7//vsvvv32W7z33nsAitZGiIyMxOLFi+Hq6ooGDRpg0aJF8PLyQt++fauzK0Q1Rp5Oiz3xMbidlwMAsFMq0cLNE40dneBuYwdBEPB8yzYo0OtxNiURv8VGYV9CLA7djMffN+MxskUYprTpBFsTZvcQERERERERSb7g+P24ublh9erVmD9/PoYMGQJ3d3fMmDEDQ4YMMbaZOnUq9Ho9Zs+ejYKCAkRERGDNmjVctJOoDGdTErH58gXk63VQymQI92yAVu6eUMrkpdq629qhr68/+vr643p2Jj4/cxS/xUZj3cUz2H/9Gpb0Gozmbh4S9IKIiIiIiIhqEosrPl2+fLnE9yEhIdi0aVO57eVyOaZPn47p06ebOxpRjXYtMx1fnjuBQtEAV2sbDPBtBmdr0xbObezojA+7D8AjTQIx9/CfuJGThcjffsT7XftiUJNAMycnIiIiIiKimkwmdQAiMr9rmenYHR+DQtGAps6uGNashcmFp7t1beSHrU+MQJcGPigo1GP6gR1YdvoIRFE0Q2oiIiIiIiKqDVh8Iqrl4rMysDs+BgaI6Ofjj74+/lDKS59mZyonK2us6Ps4xrYKBwCsPHsM7x/ZDwMLUERERERERFQGFp+IarFUdR52JxQVnpo5u2F2x16QVcHlvOUyGV6P6Ip3OvWCAGBT9L9486+d0BsMDx+aiIiIiIiIahUWn4hqqXydDn9cuwK9wYCGDo7o7dMUClnVvuSfDgrBRz0GQiHI8Me1y3jr4C4UsgBFREREREREd2HxiagWKjQYsDP+CnJ1WjhbWaOfT7MqmfFUlkFNArG09yPGAtQ7/+zlKXhERERERERkxOITUS10POkmkvJyoZLJMdAvANYK817YsmfjJviox0DIBAE/X72EeUf+5CLkFRAA5Gg1FX6p9TqpoxIRERERET0U8/5FSkTV7kZOFs6kJAIAejVuApdKXNWuMvr7NYPO0B8z/9qJTdHnoZTJMbN9dwhmmnFV0xUaRKy/dKbCds+3bFMNaYiIiIiIiMyHxSeiWkSt12FfQiwAINjNA02cXSu1n+JZORVRyGSwUSiN3z/SNAjawkLM+XsP1l86C2uFAq+Gd2YBioiIiIiIqA5j8YmolhBFEX/diEO+XgdnK2t0btC40vt6mFk5QwNaQFOox7wj+7H635OwUSjxYuv2lc5CRERERERENRuLT0S1xLWsdFzLyoAMAvr6+EMpk0uW5dnmodDo9Vh04hCWnT4CW6USz7ewzNPH1Hod9CZcoe/eWV5ERERERERkGhafiGqBLE0BDt6MBwCEeXrD3dauWh73fqfnDQtsifQCNdacP4kPjx2EnVKFYQEtqyXXg9AbDFh34XSF7bj2EhERERERUeWw+ERUCyw9+Q/Uej1crKzR1rNBtT1uRafnqWQyhLp74dydJLz7917YKJQY1CSw2vIRERERERGR9GRSByCih3P09g3siLsCAOjZuAnkMst5WQuCgE71G+MJ/2CIAN76axf2X78mdSwiIiIiIiKqRpbzVyoRPTCdoRALju4HALSs5wEvOweJE5UmCAKmt+uKR5oGQS8a8Nr+33H09nWpYxEREREREVE1YfGJqAb7IeocYjPT4WRljXZejaSOUy65TIb5Xfuhd+Om0BYWYvLe7TiTfFvqWERERERERFQNWHwiqqFS1Xn4/PRRAMBLrdvDWmHZS7gpZDIs7jkQnRo0hlqvx0t7fsal1BSpYxEREREREZGZsfhEVEMtPfkPcnVaBLt54NGmQVLHMYlKrsBnvR9FG8/6yNFqMW7nFvybkih1LCIiIiIiIjIjFp+IaqB/UxKx7eolAMDbHXtY1CLjFbFRKPFF38cR5lEf2VoNxu/ahlNJt6SORURERERERGZSc/5iJSIAgEEUMf/oAQDAY/7N0dqjvrSBKsFeZYUv+z+Bdt4NkafTYuLubTjOAhQRUY2Qm5srdQQiIiIykaW8b7P4RFTDbLt6ERdSk2GnVOG1tl2kjlNpdkoVvuj7BLo08IFar8e0gztxLOmm1LGIiOg+7ty5gzfeeAN37tyROgoRERFVwJLet1l8IqpBcrQaLD35DwDg5dbt4W5rJ3Gih2OtUGBZn0fRq3ETaA2FmH34T1zLypA6FhERlUOtVkMURajVaqmjEBERUQUs6X2bxSeiGmT1vyeQXqCGn5MLngtuLXWcKqGSK/BJr8Ho06gJ9KIB+27G4UzybYiiKHU0IiIiIiIiqgIsPhHVELdzs7Hu4hkAwGsRXaCSyyVOVHWUMjnmdeyFoU2bAwCOJN7AXzfjUSgaJE5GRERERERED0shdQAiKp9ar4PeUFSA+fjE39AWFiLMoz7aejZAjlZjbGeoBbOE5DIZprRuj8S8HBxNuolLaSnI0WrQ39cfKjl/VREREREREdVU/IuOyILpDQasu3Aad/LzsDPuCgCgqbMLvvtvBlSxyOAwKeKZRUs3D7jY2GJ3Qgxu5GRh69VLGOQXCEcrK6mjERERERERUSXwtDsiCyeKIg7fvg4AaObiBg9be4kTmZ+vkwue8A+GrUKJ9AI1Nl85j3guRE5ERERERFQjsfhEZOESsjNxKzcbMkFAe69GUsepNh62dhgW0AIetnbQFBbij7grOHL7OvSGQqmjERERERER0QNg8YnIgukNBhz5b9ZTiLtXnTv1zEFlhSH+wQip5wUAOJOSiEl7tiM5L1fiZERERERERGQqFp+ILNhvsdHI0BTASq5AuEd9qeNIQi6ToUtDH/T3bQaVTI5zd5Iw7JcN+DMhVupoREREREREZAIWn4gsVJ5Oi6/OHQcAtPVqACtF3b4+QFNnVzwZ2BIBLvWQUaDGlH2/4o39fyBdnS91NCIiIiIiIroPFp+ILNTX508hvUANR5UVWrp5SB3HIjhZWWP1gCEY1SIMckHAjrgreGTrOmy5fAHZmgLkaDXGL7VeJ3VcIiIiIiIiAlC3p1IQWaiU/Fx8c+EUAKBj/UaQy1gnLqYQ5LBTqjCkWQvsv34NaQX5eOefvVh7/iS6NvSFg6poXaznW7aROCkREREREREBnPlEZJGWnz4CtV6PVvU80cTJVeo4FsnD1g7DA1qgnVdDyAQB8dmZ+D7qHI4l3oCukFfEIyIiIiIishQsPhFZmCvpqdh65SIAYEp4JwiCIHEiyyWXydDWqwGeCmiJ+vYOKBRFnEq+jfVR57Ap+l9o9HqpIxIREREREdV5LD4RWZiPTxyCCKCvrz9C3L2kjlMjuNrY4vGmzTHAtxkcVVZQ63VYcvIfDNryDb69cBp5Oq3UEYmIiIiIiOosrvlEZEEO30rA37cSoBBkmNa2i9RxahRBENDE2RU+Ts6ITktFVHoKkvJy8dHxg1h59hiGBbTEsMAW8ONpjERERERERNWKxSciC1FoMGDR8UMAgGeah8DH0Rk5Wo3EqWoeuSBDi3oe+L+uffBnwjV8e+E04rMz8PWFU/j6wimEezbAwCYB6OPjD3dbO6njEhERERER1XosPhFZiO2xUbiSkQoHlQovtW4vdZwaz0quwFNBrTA8sCX+uhGHzZfP49DNeJxKvoVTybcw/8h+tKzniTZeDZChzkc9GztYK/grkYiIiIiIqKrxLy0iC6DW67Ds1BEAwAuh7eBsbSNxotpDJgjo2bgJejZuguS8XPxx7TL2xF/FuTtJOJ+ajPOpyca2Dior1LOxRT0bW7hZ28LV2gaOVtaQcdF3IiIiIiKiSmPxiaiKqfU66A2G+7ZRyGSwUSiN36+7cAbJ+bmob++AEc1bmzlh3eVpZ48xrcIxplU4kvNyceT2dRy6GY9/biUgR6sxfsVlZRi3kQkCnK2sEZ1+B83dPBDq4Y0Qdy84qKwk7AkREREREVHNweITURXTGwxYd+H0fds837KN8d+p6jys/vcEAOCV8M6w4qlf1cLTzh5PNAtGb5+mWHfhNDR6PVIL8pGqzkeaOg9p6nxkaAqgNxiQXqDGn9ev4c/r1wAAAoBQD2/09W2Gfr7+qG/vKG1niIiIiIiILBj/yiWS2Iozx5Cv16GFmwcGNQmUOk6dZaVQoIG9IxrcVUgSRRE5Wi0yNGo0dXZDXFY6zqYk4kZOFs6mJOJsSiIWHz+Ivr7NMLZVOFq5e0nYAyIiIiIiIsvE4hORhK5lpuOny+cBAG+068q1hSyMIAhwtLKCo5UVngsONZ5ql5yXi30JsdgdfwUnkm5hd/xV7I6/il6Nm+CV8M4SpyYiIiIiIrIsLD4RSeiTk3+jUBTRo1ETtPNuJHUcMpGnnT2eCw7Fc8GhuJqRirXnT+GP2Mv48/o1HL19A20866NVPU8ILCYSERERERFBJnUAorrqROJN7L9+DXJBwGsRXaSOU+sIQIlFxMv7MojiQz1OM5d6WNitP7Y8MQKtPbyRr9fh71sJ2J0QA11hYdV0hoiIiIiIqAbjzCciCRhEEYtOHAIADA9siabOrhInqn0KDSLWXzpTYbvI4LAqeTx/Fzd8N/gpfHPhFJac/AexmenILCjAoCYBvDIeERERERHVaZLPfEpLS8P06dPRoUMHhIWF4YUXXkBMTIzx/qioKERGRqJ169bo0aMH1qxZU2J7g8GAzz77DF27dkVoaCjGjh2LhISE6u4G0QPZGx+Di6nJsFUo8XJYB6njUBWRCQKeDGyFx5s2h41CgbSCfGy7eglZmgKpoxEREREREUlG8uLTSy+9hBs3bmDVqlX46aefYG1tjdGjR0OtViMjIwNjxoyBr68vtmzZgilTpuDTTz/Fli1bjNuvWLECGzduxLx587Bp0yYIgoAJEyZAq9VK2Cui8ukNBqw4ewwAMC6kLerZ2EmciKqat70Dhge0hLOVNXJ1WvwSE8UCFBERERER1VmSFp8yMjLQsGFDvP/++2jVqhWaNm2Kl19+GXfu3MHVq1fx448/QqVSYe7cuWjatCmGDRuG0aNHY9WqVQAArVaLtWvXYsqUKejevTuCgoKwZMkSJCcnY8+ePVJ2jahc51OTkZSXAw9bO4xq2UbqOGQmDiorPOHf3FiA+jkmCrlajdSxiIiIiIiIqp2kxScXFxd88sknaNasGQAgNTUVa9asgZeXF/z9/XHy5ElERERAofjf0lQdOnRAXFwc0tLSEB0djby8PHTo8L/TlhwdHREcHIwTJ05Ue3+IKlKg1+FU0i0AwNQ2nWCjUEqciMzJVqkyFqDydFr8fu0KtFyEnIiIiIiI6hiLWXB8zpw5xplOX3zxBWxtbZGUlISAgIAS7Tw8PAAAt2/fRlJSEgDA29u7VJvExMTqCU70AE4m34bWUAh/Zzc85t9c6jhUDWyVKjzSJAhbrl5AWkE+9iTEYKBfQMUbSqiRnx90MgE5FczUUshkLKASEREREVGFLKb4NGrUKDz99NP44YcfMGnSJHz//fcoKCiASqUq0c7KquiqURqNBmq1GgDKbJOVlVXpLKIoIj8/v9LbV6Q4d/H/STrmOBYGmQCdTlfq9mytBhdSkwEAk8LaQ1NQ8RpA5e3rXiJEi25nMBgqfE2p1WpAIYdOr6/WbFXZB6DsY2Yjk6Ffo6b4Lf4KErIz8c/NeIxsEValj1tVio/DV6eOQKm4/1vEmNAIiNqK+0CVw/cKy1Edx0IURQiCYLb9ExEREUnJYopP/v7+AID3338fZ8+exfr162FtbV1q4XCNpuiTeFtbW1hbWwMoWvup+N/FbWxsbCqdRafTISoqqtLbmyo+Pt7sj0Gmqcpj0ci/Ke6kppa6/URmKgyiCA+VNVq7epj0M1bevu4liqJFt9NoNIiJia2wXSP/psjMzKzWbOboQ1n7EwC0cXTDiaxUnE9LwYHr16r0cauSKccBkCZbXcT3Csth7mNx74dpRERERLWFpMWntLQ0HDlyBAMHDoRcLgcAyGQyNG3aFCkpKfDy8kJKSkqJbYq/9/T0hP6/GRIpKSlo3LhxiTZBQUGVzqVUKo3FMHNQq9WIj4+Hr6/vQxXJ6OGZ41joZALc69UrcVtaQT5uJRfNXunS0BdWVlZo3rzi0+7K2ldZBMGy25nSX7VajUIAzs7O951xY8l9AO5/zNwBFChkOJ+WgoXH/sJg32ZwVFlVyeNWFVOPA1D92eoavldYjuo4FjExMWbZLxEREZElkLT4lJKSgtdffx1ubm7o2LEjgKJZR5cuXUKvXr1Qr149bNy4EYWFhcbi1JEjR+Dn5wc3Nzc4ODjA3t4ex44dMxafsrOzcenSJURGRlY6lyAIsLW1ffgOVsDGxqZaHocqVpXHIkergVJZch2cUzeK1ifzd3aFl6MTZDIZbK3vX3Qob19lESBYdDtT+5ur00KpUNx3n5beh4qOWaeGPrhTkI+kvFz8eTMOQ5u1gFxW/rUfTH3cqmTKcQCkyVYX8b3CcpjzWPCUOyIiIqrNJL3aXVBQELp06YL33nsPJ0+exJUrV/Dmm28iOzsbo0ePxrBhw5Cbm4u3334bMTEx2Lp1K7799ltMnDgRQNH09MjISCxevBj79u1DdHQ0pk2bBi8vL/Tt21fKrhEZJebmICE7EwKAdl4NpY5DEpMLMvTz8YezlTXuqPNxPOmm1JGIiIiIiIjMStLikyAIWLp0KTp06IBXX30VTz75JLKysrBhwwbUr18fbm5uWL16NeLi4jBkyBAsX74cM2bMwJAhQ4z7mDp1KoYPH47Zs2fj2WefhVwux5o1a7huAlkEURRxLPEGACDI1R3O1jx1hgB7lRVmtu8OADiTkojbudkSJyIiIiIiIjIfyRccd3BwwNy5czF37twy7w8JCcGmTZvK3V4ul2P69OmYPn26mRISVd6NnCzczsuBXBDQ1quB1HHIgnRr6Ifmru6ISr+DfQmxeDqoFVRyyX8lExERERERVblKzXw6ceIE8vLyyrwvOzsbv//++0OFIqoNimY9FZ1S1bKeJxwqWFi6NhNQtBbS/b50MgFKZd2asdi5gQ8cVVbI0Wnx963rUschIiIiIiIyi0p9zP78889j06ZNCAkJKXXfpUuX8NZbb2Hw4MEPHY6oJruWlYE76jwoZTK08awvdRxJFRpErL905r5tdDodRoW0raZElkEll6N346bYFnMJ0el3EODihoYOTlLHIiIiIiIiqlImF5/efPNNJCYmAiia0TF37lzY29uXahcfH496Jly2nKg2M9y11lOouzdsFCWvGlY8E8iU/VDt5m3vgJb1PHEhNRkHbsTh6cBWUP53dU8iIiIiIqLawOTiU//+/fH111+XuE285w9juVyO1q1bY8SIEVWTjqiGupKRikxNAazkCoR6eJW635SZQAAQGRxmjnhkYTp4N0J8VgaytRocT7qJzg18pI5ERERERERUZUwuPvXq1Qu9evUCAIwcORJz585F06ZNzRaMqKYqNBhwKvk2ACDMwxtWXESaKqCSy9G9kR9+v3YZ/95Jgr+zGzztSs8sJSIiIiIiqokqteD4d999x8ITUTn2JsQgS1MAa7kCrep5Sh2HaggfR2c0c3GDCGD/jWsoNBikjkRERERERFQlKjUlQ61WY+XKldi/fz/UajUM9/yRJAgC9u7dWyUBiWoSgyjimwunAQAh7l5cu4ceSJcGPriRnYX0AjVOp9xGhFdDqSMRERERERE9tEoVn+bPn48tW7agXbt2aN68OWSySk2gIqp19sTHIC4rA1ZyOVq5c9YTPRgbhRJdG/pgT0IsTiXfRlMnV6kjERERERERPbRKFZ92796NadOm4YUXXqjqPEQ1liiK+PLcMQBAq3peXOuJKsXf2Q1XMtKQkJ2JAzfjMLVtZ6kjERERERERPZRKTVnS6/UICQmp6ixENdo/txJwOT0VtgolQtxLX+GOyBSCIKBbQ18oZTIk5eVi29WLUkciIiIiIiJ6KJUqPnXp0gUHDx6s6ixENdra86cAAI83C4a1grOeqPIcVFZo790IALDizDEk5+VKnIiIiIiIiKjyKvUX8qBBg/Duu+8iPT0doaGhsLGxKdXmiSeeeNhsRDXGhdRkHEu8AYUgwzNBIdgVd0XqSFTDtazniasZqUjOz8OCo/vxae9HpY5ERERERERUKZUqPr366qsAgJ9//hk///xzqfsFQWDxieqUtf+eBAAMahoITzt7idNQbSATBHRv1ARbrlzE3oRY7I2PQR9ff6ljERERERERPbBKFZ/27dtX1TmIaqyE7EzsSYgBAIxpGS5xGqpN6tnYIjI4FN9ePIP5R/ejQ/1GsFdZSR2LiIiIiIjogVSq+NSgQYOqzkFUY62/eAYGUUTXhr4IcK2HHK1G6khUi4xp1Rb7b8ThenYmlp46jNkde0odiYiIiIiI6IFUqvi0fPnyCttMnjy5MrsmqlGyNQXYdvUSAGB0yzYSp6HayFqhwLudemPczi3YGHUOg5sEIsyzvtSxiIiIiIiITFblxSd7e3t4eHiw+ER1wtarl6DW69DMxc14dTKiqtahfiM80SwYP1+9hDl/78FPj4/gFRWJiIiIiKjGqNRfL9HR0aVuy8/Px6lTpzB37lzMmTPnoYMRWbpCgwHfXzoLAIgMDoMgCNIGolptRrtuOHwrAXFZGfj01D94s313qSMRERERERGZRFZVO7K1tUXXrl0xadIkfPTRR1W1WyKLtf/6NdzKzYazlTUeaRokdRyq5ZysrPF/nfsAAL67eAankm5JnIiIiIiIiMg0VX7ehre3N2JjY6t6t0QWZ/2lMwCApwJb8RQoqhZdG/lhWEALbLlyEW8f2o0tT4yAnVIldSwiqoMSExOljgC1Wo3U1FTcuHEDNjY2UsepdnW9/8nJyVJHoFrGEn6vmaquv/7Zf9P7b0k/11X2F7MoikhMTMSqVat4NTyq9WIy0nAi6RbkgoBnmodKHYfqkKLT767jRk4WPjnxN+Z06iV1JCKqg9auXSt1BCKiKsXfa0TmVaniU1BQULnr24iiyNPuqNbbfPk8AKBn4ybwtLOXOA3VJfYqK8zr2hfjdm7Fxuh/0cfHHx0bNJY6FhHVMWPHjoW3t7ekGdRqNeLj4+Hr61tnP/muy/2Pj4/Hhg0bpI5BtYgl/F4zVV1//bP/pvc/MTHRYgqrlSo+TZo0qczik729PXr06AFfX9+HzUVksdR6HX6JuQQAeCooROI0VBd1qN8YzwSFYGP0v5j99x78PCQSDiorqWMRUR3i7e2Nxo2lLXzn5+cjNzcXjRo1gq2traRZpFDX+69Wq6WOQLWMJfxeM1Vdf/2z/zWz/5UqPk2ZMqWqcxDVGDvjriBHq0UjByd0rF8z3qCo9nktogv+uZWAGzlZeP/wn/iw+wBecZGIiIiIiCxSpdd80mq12Lp1K44dO4bs7Gy4uLigbdu2GDJkCKys+Ak81V4/Rhedcjc8sCVk/GOfJGKnVGFht/4Y9cdm/H7tMjrUb4yhAS2kjkVERERERFRKpYpP2dnZeP755xEdHY369evD3d0dcXFx+O2337BhwwZ8//33cHBwqOqsRGbRyM8POpmAHK3mvu0UMhniszLw750kKGQyDGnGP/RJWmGe9TGlTScsPfUP5h/ZjxB3L/i7uEkdi4iIiIiIqIRKFZ8+/vhjJCUlYf369Wjbtq3x9pMnT2Lq1Kn49NNPMXv27CoLSWRWchm+PncCSqXyvs2eb9nGuNB4Xx9/uNnUnPNrqfYaF9IWx5Nu4PCt65i2/3dsfPQZ2ClVUsciIiIiIiIyklVmo3379uHVV18tUXgCgLZt22Lq1KnYvXt3lYQjsiR5Oi1+jYkGADwV1EriNERFZIKAD7oNgIetHa5lpuOtv3bBIIpSxyIiIiIiIjKqVPEpLy8PjRo1KvO+Ro0aITMz82EyEVmk3XFXka/XwcfRGUGu7sjRasr84h/+VN3cbGyxtNcjUMrk2Hc9FivPHpM6EhERERERkVGlTrtr0qQJ9u/fj86dO5e6b9++ffDx8XnoYESWRBRFbLt6CQDQ0N4R3108U27byOCw6opFZBTq4Y13OvXCnL/34PMzR9HMpR76+vpLHYuIiIiIiKhyxadx48bhtddeg1arxaOPPop69eohNTUVv/76KzZv3oy5c+dWcUwiaaXk5+FKRirkgoBAV3ep4xCVaWhAC0SlpeD7qHN4868d8LAdjlAPb6ljERERERFRHVep4tOgQYMQHx+PlStXYvPmzcbblUolJk2ahKeffrrKAhJZgotpKQCAps5usFZU6mVDZFZqvQ56gwEvh3VAQnYm/rmVgJf3/IJVA4aikYMTgKIrNtoo7r+wPhERERERUVWr1F/R+fn5ePnllxEZGYmzZ88iKysLiYmJePrpp+Hk5FTVGYkkpS0sRExmGgCghZuHxGmIyqY3GLDuwmkAQLCrO66kp+KOOg/jdmzBE/7BsFep8HzLNhKnJCIiIiKiuuiBFhyPiorCE088gW+++QYA4OjoiG7duqFbt25YunQpnnvuOcTGxpojJ5FkYjPToTcY0NjBCV529lLHIaqQUi7H4CYBcFRZIVurwfbYKOTrtFLHIiIiIiKiOsrk4tONGzcwevRoZGVlwd+/5CK2KpUKs2bNQl5eHp577jkkJSVVeVAiqUSn3wEADGoSCEEQJE5DZBpbpQqPNW0Oe6UKmZoC/BIbjYwCtdSxiIiIiIioDjK5+PTVV1/BxcUF27ZtQ79+/UrcZ2Njg8jISGzZsgW2trZYuXJllQclkkKWpgCJeTkQAAz0C5A6DtEDcbSywuP+zWGnVCKjQI0pe39FJgtQRERERERUzUwuPh05cgTjx4+Hs7NzuW3c3NwwZswYHDlypCqyEUnucnoqAKChgxPcbXnKHdU8TlbWeKxpc9gqlIjJTMOEXduQrSmQOhYREREREdUhJhef7ty5Ax8fnwrbBQQE8LQ7qhVEUTSechfk6i5xGqLKc7G2wWP+QXCxssaltBRM2LUNWSxAERERERFRNTG5+OTq6oqUlJQK26Wnp993dhRRTXErNxu5Oi1UMjn8nFykjkN1lAAgR6up8Msgivfdj6u1LZb1eQzOVta4kJqM8Tu38hQ8IiIiIiKqFgpTG0ZERGDr1q0YPHjwfdv9/PPPaN68+UMHI5Ja8aynZi5uUMge6MKQRFWm0CBi/aUzFbaLDA6rsI2/ixu+Hjgc43ZuwaW0FIzZsQVrBgyFq41tVUQlIiIiIiIqk8l/UY8cORLHjh3DBx98AI1GU+p+rVaLDz/8EIcOHcKIESOqNCRRddMW6nEtMwMAT7mj2iXAtR6+Hjgc9WxscSUjFWN2bEGqOk/qWEREREREVIuZPPOpVatWeOutt7BgwQL88ssv6NixIxo2bIjCwkLcvn0bx44dQ0ZGBl555RV07drVnJmJzC4mMx160QBnK2t42NpJHYeoSvm7uOHbQU9i7I4tiMlMw5g/fsKagcPgwUX1iYiIiIjIDEwuPgHAiBEjEBQUhDVr1mDfvn3GGVB2dnbo0qULxo4di9DQULMEJapOxVe5C3J1hyAIEqchqnq+Ti74ZtBwjN2xBdeyMjDqj5+wdsAwOMnkUkcjIiIiIqJa5oGKTwAQHh6O8PBwAEBGRgZkMhmcnJyqPBiRVDI1BUjMy4EAINC1ntRxiMymsaMzvh00HGN2bMH17EyM/mMzPu8xGI5WVlJHIyIiIiKiWuShVlF2cXFh4Ylqncv/LTTeyMEJdkqVxGmIzKuBgxO+GTQcjRyccDM3GxP//BVJeTlSxyIiIiIiolqEl/AiuotBFBF91yl3RHVBfXtHfDvoSfg6uiApPxevH9qNfJ1O6lhERERERFRLSF58yszMxDvvvINu3bqhTZs2ePbZZ3Hy5Enj/VFRUYiMjETr1q3Ro0cPrFmzpsT2BoMBn332Gbp27YrQ0FCMHTsWCQkJ1d0NqiVu5WYjT6eFlVwOXycXqeMQVRtPO3t8PWgY6ts54HZeDnYkXEWBXi91LCIiIiIiqgUkLz699tprOHfuHD755BP89NNPaNGiBcaNG4fY2FhkZGRgzJgx8PX1xZYtWzBlyhR8+umn2LJli3H7FStWYOPGjZg3bx42bdoEQRAwYcIEaLVaCXtFNVX0f6fc+Tu7QSGT/OVBVK08bO3xeY/BcLW2QbqmAL9fuwxdYaHUsYiIiIiIqIaT9K/rhIQE/PPPP3j33XfRtm1bNGnSBG+//TY8PT3x22+/4ccff4RKpcLcuXPRtGlTDBs2DKNHj8aqVasAAFqtFmvXrsWUKVPQvXt3BAUFYcmSJUhOTsaePXuk7BrVQJpCPa5lpgMAgtx4yh3VTQ0dHLG4Sz9YyeVIzs/FjvgrKDQYpI5FREREREQ1mKTFJxcXF3z11Vdo2bKl8TZBECCKIrKysnDy5ElERERAofjfRfk6dOiAuLg4pKWlITo6Gnl5eejQoYPxfkdHRwQHB+PEiRPV2heq+WIz01EoinCxtoGHjZ3UcYgk4+fkggGN/aGQyXAzJxt7EmJgEEWpYxERERERUQ0lafHJ0dER3bt3h0r1vyuK7dixA9evX0eXLl2QlJQELy+vEtt4eHgAAG7fvo2kpCQAgLe3d6k2iYmJZk5PtU3xKXdBrvUgCILEaYik5WFrh0F+AZAJAq5lZeDvWwkQWYAiIiIiIqJKUFTcpPqcOnUKs2bNQu/evdGrVy8sXLiwRGEKAKysrAAAGo0GarUaAMpsk5WVVekcoigiPz+/0ttXpDh38f9JOmq1GlDIkZqfi6S8XAgAmtg7Q1fGlb5EiGXeXpl2Vbmv2tJO99/i1roKFrmWqg8Gg8Gk3wsGmWCxz7EpfSh+Tej0enha26JXQ1/svRGHC6nJsFco0crN44H2R5XH9wrLUR3HQhRFfvBBREREtZbFFJ/27t2LN954A6Ghofjkk08AANbW1qUWDtdoNAAAW1tbWFtbAyha+6n438VtbGxsKp1Fp9MhKiqq0tubKj4+3uyPQRVr5N8UF5OLZtF5qKyRl5WFvDLaiaKIO6mpFe7PlHZVua/a1A4ougKmJWbTaDSIiYmtsF0j/6YW+xw/SB+Kj4M9gBb2zriYm4mjSTchqgvgbW37QPujh8P3Csth7mNx74dpRERERLWFRRSf1q9fj/nz56Nv375YvHixcfDl5eWFlJSUEm2Lv/f09IT+vxkSKSkpaNy4cYk2QUFBlc6jVCrh7+9f6e0rolarER8fD19f34cqktHDU6vV0IoG3NQWfZrd0sMb7k4uZbYVBAHu9epVuE9T2lXlvmpLu+IZT87OzlAqyv/VJFUfrKys0Lx58wrb6WSW+xyb0ge1Wo1ClDwO9dzcYEi8gaiMVJzKTscjbm5wt7Ez+TmhyuF7heWojmMRExNjlv0SERERWQLJi0/ff/893n//fYwcORKzZs2C7K7L20dERGDjxo0oLCyEXC4HABw5cgR+fn5wc3ODg4MD7O3tcezYMWPxKTs7G5cuXUJkZGSlMwmCAFtb24frmAlsbGyq5XHo/o7ejEO+XgcruRz+rvUgl5W9FJoAAUqlssL9mdKuKvdVm9oBgFKhuG9bqbLJZDLYWltV2C5Hq7HY59jUPuTqtKWOQ/fGTZCn1+F6ThZ2Xb+G4QEtTN4fPRy+V1gOcx4LnnJHREREtZmkC47HxcVhwYIF6Nu3LyZOnIi0tDTcuXMHd+7cQU5ODoYNG4bc3Fy8/fbbiImJwdatW/Htt99i4sSJAIqmp0dGRmLx4sXYt28foqOjMW3aNHh5eaFv375Sdo1qkJ0JRZ82N3Mpv/BEVNfJBAH9fP3hZm0LtV6H369dRq5WI3UsIiIiIiKqASSd+bRr1y7odDrs2bMHe/bsKXHfkCFD8MEHH2D16tWYP38+hgwZAnd3d8yYMQNDhgwxtps6dSr0ej1mz56NgoICREREYM2aNVw3gUySo9Xg71vXARRd5Y6IyqeSKzCoSQC2Xr2I9AI1Zh3aja/6D4FSJpc6GhERERERWTBJi08vvvgiXnzxxfu2CQkJwaZNm8q9Xy6XY/r06Zg+fXpVx6M6YM/1WGgNhXCxsoa7jZ3UcYgsnoPKCoP8ArEt5hKOJ97EgiMH8E6nXjxliIiIiIiIysVzjKhO+zXuCgAgwNmNfzwTmcjd1g59ffwhAPjx8nl8e+G01JGIiIiIiMiCsfhEdVZMRhoupKVAJgjwd3KVOg5RjeLn5IJXwjsBABafOIR9CbxSFxERERERlY3FJ6qztl29CADo6NUQtiZeiY2I/ufpoBA8HRQCEcCMAztxITVZ6khERERERGSBWHyiOklnKMT2mCgAwEDfZhKnIaqZBEHArA490KWBDwoK9Zi05xfczs2WOhYREREREVkYFp+oTjp4Iw7pBWq4WtugvVdDqeMQ1VgKmQwf9xyEAJd6SFXnY9Ke7cjVaqSORUREREREFoTFJ6qTtl65BAB4xDcAChlfBkQPw15lhc/7PoZ6Nra4kpGK1/f/Ab3B8MD7Uet1yNFqKvxS63Vm6AUREREREZmLQuoARNXtTn4eDt2MAwA82iRQ4jREtUN9e0d83vdxjPp9M/6+lYAFR/djTsdeD3QVSb3BgHUmXDnv+ZZtHiYqERERERFVM075oDrnl5hLKBRFtPbwhq+js9RxiGqNlvU88WH3ARAAbIo+jy/OHpM6EhERERERWQAWn6hOEUUR2/475W5oQAuJ0xDVPn18/fF2x54AgM/PHMWm6H8lTkRERERERFJj8YnqlDMpiYjPzoCNQokBfgFSxyGqlZ5tHooXW7cHALx/+E/sirsqcSIiIiIiIpISi09Up2y7chEAMMCvGeyUKonTENVek8M64MnAlhABvPnXThy9fUPqSEREREREJBEWn6jOyNNpsSPuCgBgSDOeckdkToIgYE7HXujj4w+doRBT9/2KS6kpUsciIiIiIiIJsPhEdcauuKtQ63XwcXRGG8/6UschqvXkMhk+6j4AEV4NkKfT4sXdPyMhK0PqWEREREREVM1YfKI6Y8uVCwCKZj09yOXfiajyrBQKLOvzGIJc3ZFWkI8Ju7YhJT9X6lhERERERFSNWHyiOiE67Q7OpiRCIcjwRLNgqeMQ1SkOKit82f8JNHZ0xq3cbLywaxsyNQVSxyIiIiIiomrC4hPVCcWXe+/j2xTutnYSpyGqe+rZ2GFV/yFwt7HD1Yw0TNrzC/J1OqljERERERFRNWDxiWq9XK0Gv8ZGAwCeDgqROA1R3dXQwQmrBgyBo8oKZ1MSMe3P36AtLJQ6FhERERERmRmLT1TrbY+JhlqvQxNnV0R4NZQ6DlGd1sylHlb0fRzWcgX+vpWAtw/thkEUpY5FRERERERmxOIT1WqiKBpPuXsmKIQLjRNZgDDP+ljaazAUggx/XLuMhUcPQGQBioiIiIio1mLxiWq108m3EZOZBhuFAo/5N5c6DhH9p2sjPyzo1g8CgO+jzuGLs8ekjkRERERERGaikDoAkTn9EHUOADCoSRAcVFYSpyGiuw1uGoRMTQEWHD2Az88chYu1jdSRiIiIiIjIDDjziWqtVHUe9iTEACg65Y6ILM+I4NZ4IbQdAGDh0b9wMydL4kREdD82NjYQBAE2NiwWExERWTpLet9m8YlqrW1XLkJvMCDE3QvB9TykjkNE5ZjapiMGNQlEoWjAzrirSC9QSx2JiMrh7u6OxYsXw93dXeooREREVAFLet9m8YlqpUKDAT9ePg8AeJqznogsmiAImNelL0LcvaA1FGLHtcvQ6PVSxyKictjb20sdgYiIiExkKe/bLD5RrXToZjxu5+bAycoaA/wCpI5DRBWwUijwYfcBcFCqkKXVYE9CDAy8Ah4RERERUa3A4hPVSsULjQ9pFgxrBdfVJ6oJXKxtMMAvAApBhus5WTiWeEPqSEREREREVAVYfKJaJzYzHX/fSoAAnnJHVNO429qhZ2M/AMCZlETEZWVInIiIiIiIiB4Wi09U63x38TQAoLdPUzR2dJY2DFEtJgDI0Woq/FLrdQ+032Yu9RDi7gUA+PP6NeRoNWZIT0RERERE1YXnI1GtklGgxvaYKADA8y3aSJyGyLIUF4vuxyAToFSqTNpfoUHE+ktnKmz3fMsHfy129G6ExNwc3FHnYU9CDJ7wD4ZMEB54P0REREREJD0Wn6hW2RT9LzSFhWhRzxNtPOtLHYfIophSLNLpdBgV0raaEpVPLpOhn68/frx8Hkl5uTiRdBPtvRtJHYuIiIiIiCqBp91RraEt1OP7/xYaf75FGATOkiCq0ZysrNGjURMAwKnk27iRkyVxIiIiIiIiqgwWn6jW+DU2GmnqfHja2qO/XzOp4xBRFWjm4oZgNw8AwN6EWOTrHmz9KCIiIiIikh6LT1QrFBoMWPvvKQBF68soZXKJExFRMVMXJjeIYpnbd2ngA1drG6j1Ouy9HlNuOyIiIiIiskxc84lqhb0JsYjPzoCjygpPBraUOg4R3cXUhckjg8PKvF3x3/pPP125iJs52fjp8gWMs4B1qYiIiIiIyDSc+UQ1niiKWPPvCQDAc8GtYWfilbqIqOZwtbZFp/qNAQCfnzmK+KwMiRMREREREZGpWHyiGu/o7Ru4mJYCa7kCkcGtpY5DRGbSws0DDe0doSnUY9bBXSg0GKSOREREREREJmDxiWq8L88dBwAMD2wJF2sb4+1qva7CNWZ0MgFKzpQiqhEEQUDPxk1gp1Th3J0krD1/SupIRERERERkAq75RDXa8cQbOJF0E0qZHKNbhpe4T28wYN2F0/fdXqfTYRTXjiGqMRxUVnitbWe8f2Q/lp85gu6N/BDgWk/qWEREREREdB+c+UQ12oozRwEAwwJawNveQeI0RFQdBjUJRM/GTaA3GPDWwV3QFhZKHYmIiIiIiO6DxSeqsYpmPd2CUibH+JAIqeMQUTURBAHvduoNZytrRKffwcqzx6SORERERERE98HiE9VYnPVEVHe529rhnU69AACr/z2B83eSJE5ERERERETlYfGJaqQjt65z1hNRHdffLwAD/QJQKIqYdWg3NHq91JGIiIiIiKgMLD5RjSOKIpac/BsA8HRQK856IqrDZnfsCTcbW1zLTMfyM0ekjkNERERERGVg8YlqnN3xV3ExLQW2CiVeCG0ndRwikpCztQ3mdu4NAPjmwmmcTbktcSIiIiIiIroXi09Uo+gMhfj01GEAwJhW4XCzsZU4ERFJrVfjpnjMvzkMoohZB3dDrddJHYmIiIiIiO7C4hPVKNuuXERCdiZcrW0wqmUbqeMQkYWY2b47PGztkJCdaSxQExERERGRZWDxiWqMXK0Gy08XXeFuVMs2MIgicrSacr8MoihxYiIyBwEo9XqXCQJmtu8OAFh/8QwO3ojjDCgiIiIiIguhkDrA3VasWIEjR47gu+++M94WFRWF+fPn48KFC3B2dsbIkSMxbtw44/0GgwHLly/H5s2bkZ2djfDwcLz77rvw8fGRogtkRl+dO4G0gnw0dnBCvlaLdRdO37d9ZHBYNSUjoupUaBCx/tKZMu9r7uqOqPQ7ePOvnfh5yEjYKJTVnI6IiIiIiO5lMTOfvvnmG3z22WclbsvIyMCYMWPg6+uLLVu2YMqUKfj000+xZcsWY5sVK1Zg48aNmDdvHjZt2gRBEDBhwgRotdrq7gKZ0Y3sLKy7WPTH5tTwTpDLLOZHl4gsSOcGjWGvVCFbq8HnvPodEREREZFFkPwv+OTkZIwfPx6ffvop/Pz8Stz3448/QqVSYe7cuWjatCmGDRuG0aNHY9WqVQAArVaLtWvXYsqUKejevTuCgoKwZMkSJCcnY8+ePVJ0h8zk45OHoDMUolP9xujcgLPaiKhsKrkCPRs3AQBsuXIRR29flzgRERERERFJXny6ePEinJycsH37doSGhpa47+TJk4iIiIBC8b+zAzt06IC4uDikpaUhOjoaeXl56NChg/F+R0dHBAcH48SJE9XWBzKvo7dvYE98DGSCgBntu0EQBKkjEZEFa+TghBZuHgCAtw/tRlJuzn3Xh+PaUERERERE5iX5mk+9evVCr169yrwvKSkJAQEBJW7z8Cj6g+L27dtISkoCAHh7e5dqk5iYWOlMoigiPz+/0ttXRK1Wl/g/lU9XWIj3D+8DAAzzb44GVrbQGQzQ6Sr+Y1GEWGE7nV5f4v8Puz9T21XlvmpLO1OPhVR9MBgMJv1eMMgEi32OLfk1UdXtIty9kaEpwO3cbLy4ext6NPAtt+2Y0AiIWssrQPG9wnJUx7EQRZEfrhAREVGtJXnx6X4KCgqgUqlK3GZlZQUA0Gg0xkFgWW2ysrIq/bg6nQ5RUVGV3t5U8fHxZn+Mmu63lBuIz86Eo0KJXlZOiIqKQiP/priTmlrhtqIomtQOADIzM6tsf6a0q8p91aZ2QMXHQqpsGo0GMTGxFbar6p9PKX7ugOp/TZij3dsdemDS3u24mpkOJ4OAhjZ2ZbYz9dhKhe8VlsPcx+Le8QwRERFRbWHRxSdra+tSC4drNBoAgK2tLaytrQEUrf1U/O/iNjY2NpV+XKVSCX9//0pvXxG1Wo34+Hj4+vo+VM7aLikvF9svFC0Y/Fp4Z7T1K5oFp5MJcK9Xr8LtBaHidsWzO5ydnaFU3P/lYMr+TG1XlfuqLe1MPRZS9cHKygrNmzevsF1V/nxWdTtLfk2Yo11rD2+0cffC6TtJOJebgaaeXnBUWZVqZ+qxrW58r7Ac1XEsYmJizLJfIiIiIktg0cUnLy8vpKSklLit+HtPT0/o//sjKSUlBY0bNy7RJigoqNKPKwgCbG1tK729qWxsbKrlcWoiURSx5PBeFBTqEe7ZAMODQ42nI+RoNVAqK758ugDBpHYAoFQoKmxr6v5MaVeV+6pN7YCKj4VU2WQyGWytSxcu7lXVP59S/NwB1f+aMFe7dvUb43Z+LpLycnHgVgKeaNYccqHkcoemHlup8L3CcpjzWPCUOyIiIqrNJF9w/H4iIiJw6tQpFBYWGm87cuQI/Pz84ObmhqCgINjb2+PYsWPG+7Ozs3Hp0iW0bdtWishURfYkxODP69egEGSY06knB+VEVCkyQUBfH3+oZHIk5+fiZNItqSMREREREdU5Fl18GjZsGHJzc/H2228jJiYGW7duxbfffouJEycCKFobITIyEosXL8a+ffsQHR2NadOmwcvLC3379pU4PVVWtqYA84/sBwCMC2mLZi4Vn15DRFQeB5UVejTyAwCcSr6NWznZEiciIiIiIqpbLPq0Ozc3N6xevRrz58/HkCFD4O7ujhkzZmDIkCHGNlOnToVer8fs2bNRUFCAiIgIrFmzhot21kBqvQ56gwEfHjuIVHU+fByd8VxwKHK0mhLtDKIoUUIiqqn8XdxwPScL0el3sPd6DJ4ObAVrhWmnIBIRERER0cOxqOLTBx98UOq2kJAQbNq0qdxt5HI5pk+fjunTp5szGlUDvcGABUf2Y3tsNAAgzMMbm6L+LdUuMjisuqMRUS3QtYEPkvJykKkpwJ6EWAxuEggZT+klIiIiIjI7iz7tjuqWPK0Wf16/BgBo4eaB+vaOEiciotpEKZejn68/FIIMN3KycDzxptSRiIiIiIjqBBafyGIsPfUPcnVaOKqs0Kl+44o3ICJ6QPVs7NCzcdH6T6dTbiM2M13iREREREREtR+LT2QR/roRh1//O92uV+MmUMrlEiciotqqmUs9hLp7AQD+vB6LOBagiIiIiIjMisUnklympgDv/L0HABDq7sXT7YjI7DrWb4wG9o7QGQyY8dfOUhc2ICIiIiKiqsPiE0luwZH9xqvbtfduJHUcIqoDZIKAfr7+sFeqcCMnCzP/2sUraRIRERERmQmLTySpXXFX8fu1y5ALAt7p1AsKGX8kiah62CiUGOAXAJVMjgM3rmHJyb+ljkREREREVCvxL32SzJ38PLx/5E8AwLiQCLSo5ylxIiKqazxs7fBWhx4AgLXnT2HDpbOS5iEiIiIiqo1YfCJJGEQRsw7tQkaBGoGu9fBS6/ZSRyKiOmpgkwC8Et4JALDw6AHsjr8qcSIiIiIiotqFxSeSxLqLZ3D41nVYyxVY1GMQVLy6HRFJaEJIBJ4OCoEI4M2/duJU0i2pIxERERER1RosPlG1i0pLMa6t8mb7bmjq7CpxIiKq6wRBwNsdeqBX4ybQFhZi8t7tiMlIkzoWEREREVGtwOITVat8nQ4zDuyA3mBAr8ZN8GRgK6kjEREBAOQyGT7qMRCtPbyRrdVg4u6fkZSXI3UsIiIiIqIaj8UnMju1XoccrQY5Wg3mH9mPa1kZcLexw4x23ZCr0xrv42XOiUhqNgolPu/zGPycXJCUl4PRf/yExFwWoIiIiIiIHoZC6gBU++kNBqy7cBrXMtOx87+FfDvWb4TtMVEl2kUGh0kRj4jqOAFAjlZj/F4uk2FJr8GYtGc7buRkYdQfm/Flvyfgx1OEiYiIiIgqhcUnqhY5Wg3234gDAIR5eKOhg5PEiYiIihQaRKy/dKbU7b0aN8EvMVG4lZuNF3Zvw7eDnkR9e0cJEhIRERER1Ww87Y7MTm8oxO74GGgK9XC3sUM7r4ZSRyIiqpCDygqP+zeHo8oKt3OLTsG7lZMldSwiIiIiohqHxScyuxVnjiE5PxcqmRz9ff0hl/HHjohqBgeVFZ7wb46GDk64lZuN0Tt+wvXsTKljERERERHVKKwCkFn9eT0W30edA1B0CoujlbXEiYgqp3hdoIq+uHB+7WOvssKKvo+hsaMzbufmIPK3H3EpNUXqWERERERENQbXfCKzuZ2bjbcP7gYAhLh7oQkX66UarLx1ge7FhfNrJw9be6wb9CQm7t6Gy+mpGPXHZizt/Qg6N/CROhoRERERkcXjzCcyC21hIV7783dkazUIdvNAR+9GUkciInoo7rZ2+HbQk2jv3Qj5eh1e2v0zNkX/K3UsIiIiIiKLx+ITmcUnJ//G+dRkOKqsMK9rX67zRES1goPKCiv7PY5HmgahUBTxf4f/xMKjB6A3GKSORkRERERksVgRoCr3e2w0vrtYdHrS/K79eGlyIqpVVHIFPujWH6+EdwIArL90FuN3bkWqOk/iZERERERElolrPlGVikpLwTt/7wUAjGvVFr18miJHq5E4FRFR1RIEAS+EtoOfkytmHdyFE0k3Mfzn7/Fxz0EI92ogdTwiojojPVsvdQRJpP3X77Q62v+qVFd/hoiqG4tPEmnk5wedTKiwMKOQyWCjUFZTqoeTrs7HlL2/oqBQj64NfY2zAoiIarriqx3eq0P9Rlg7cBhmHtyF+KwMjN7xE14MbYeJrdtDwdONiYjMxt7eHgqFHH8cy5U6iqR21PH+VxWVUgl7e3upYxDVaiw+SUUuw9fnTkCpvH9h6fmWbaop0MPRGQrx2v7fkZiXAx9HZ3zUfQDXeSKiWqOiqx32bdwUf92Mw5WMNKw4ewyHb1/Hgq794OPkUo0piYjqDhcXFzz11NPw8vKCjY2N1HGqnVqtRnx8PHx9fdn/Kui/vb09XF15ZW4ic2LxiarEouOHcCLpFmwVSnzW+1E4WllLHYmIqNoo5XL08fHHc8Gtsej4IZxNScTQnzdgSngnjAxuzWI8EZEZ2Nvbo1GjRrC1tZU6SrXLz89Hbm4u+19H+09UE3E0TJWm1uuQo9Xgh6hz2HDpLABgbufe8LSzR45WY/wyiKK0QYmIqskAvwBse2IEOtZvjIJCPRYdP4hnf9uE83eSpI5GRERERCQZznyiStMbDFh4ZD9+vXYZABDh1QDxWRmIz8oo0S4yOEyKeEREkmjg4IRV/Ydgy5WLWHT8IC6mJuPZXzdiWEBLTG7TEe62dlJHJCIiIiKqVpz5RJUWk5GGHXFXYRBFNHV2RVtPXuGJiOq24oXJc3Va9Pdrhk2PPYuBfgEQAfx05QL6b/4aC44eQGJujtRRiYiIiIiqDWc+UaUk5eXgtf2/Q2sohLedA3o3bgpBEKSORUQkqbIWJvdzcsEQ/2AcSbyOpLxcbLh0FtuuXsSYluF4vkUY7FVW5e6vNl4ZlYiIiIjqHhaf6IGlqvMwbsdWpOTnwdnKGgP9AnhJcSKi+/C2d8AQ/2Bcz8nCscQbSFXn4/MzR/HdxTN4MrAVnmkegvr2jqU3rGVXRiUiIiKiuonFJ3ogmQVqjN+5FfHZGfCys0dfH39YK/hjRERUEUEQ4OPojMYOTmjg6IQ1/55EXFYG1pw/iW8unEJvH39EBrdGG8/6nElKRERERLUKqwZksnR1Pl7YvQ1XM9LgbmOH5X0ew58JsVLHIiKqUQRBQB8ffzzWtDn+uhGH9ZfO4ljiDeyOv4rd8VcR6FoPj/sHo6d3Yxb3iYiIiKhW4KiWTJKYm4MJu7YiLisDbta2WDNwGDx4xSYiokqTy2To5dMUvXya4kp6KjZcOotfY6NwOT0VHx0/iMWCgHAPb9grVPB3rQelXC51ZCIiIiKiSmHxiSoUk5GGF3f/jMS8HHjZOWDNgKHwdXKpcAFcIiIyTYBrPbzXpQ+mRXTBjmuX8WtMFM7dScKJ5NsAgEOJ19HIwQl+Ti7wdXSGNRcXJyIiIqIahMUnC1d82e6KmOtKR38mxOLNv3YiX6+Dn5MLVvUfCm97hyp/HCIiApytrPFs81A82zwUl5MT8cu1aGyLjUa2VoO4rAzEZWVAAFDf3hG+/xWinKysJX+vICIiIiK6HxafLFxZl+0uS1Vf6UhnKMTKs8ex8uwxAECEV0Ms6TUYLtY2Vfo4RERUtkYOThgdHAalIEO2Xodr/xWf0grycSs3G7dys/HPrQQ4W1kjTa2GWq+Ft50D5Pe5+iivikdEREREUmDxyQKIooh8vQ66wkIYUDTbyUahhJVE63vEZKRh1qHduJiaDAAYEdwa09t1hVLG9UaIiKqbIAioZ2uHerZ2aOfdENmaAsRlZSA+OxOJuTnI1BRg0+V/AQBKmQyNHJzg4+gMH0dn2CpVEqcnIiIiImLxSRLJ+bnYe/0a/rwZh1R1PnJ0WhhEsVQ7mSDg97grUAgC3Gxs4W3nAE9be7MtOputKcDqf0/iu0tnoC0shKPKCm937IlHmgaZ5fGIiOjBOVpZI9TDG6Ee3tAW6nEjJxsKmQx/Xr8G9X8zpK5lZQAA3G3sjIUoXiSCiIiIiKTC4lM1KzQY8NzOLci+Z20OAYBKLgcgQBRFaA2FMIgirmdnAoDxDwkZBLjb2sLb3hH17RzgZWf/0AvPpqrzsPXKRXxz4TSyNAUAgC4NfPB/XfrC087+ofZNRETmo5Ir0NTZFZHBYWjs4IQ76jzEZ2UiITsTd9R5xq+Tybdgo1AgIScLfXyaolMDHziorKSOT0RERER1BItP1UwQBPRu5IcbOdkwiCIaODrB2coadkoVZIJgbKc3GKDW6xDu2QA/Xj6PO+o83M7NQZ5Oi+T8PCTn5+EsEgEALtY2uJ2bg3beDdHawxsNHZzuu+YHACTn5eLw7QT8dSMO+xOuQS8aAABNnV3xWtsu6N7ID8JdeYiIyLIJggAPW3t42NqjnXdD5Ou0SMjOQkJ2Bm7kZEGt1+OPa5fxx7XLUAgytPGqj+4N/dCtkR/8nFz4O5+IiIiIzIbFp2omEwTMiuiGXJ0W30f/C6Wy7FlLCpkMDiortPNuhCsZqQCK1obK0WqRmJeN27k5SMwrWusjo0CNn2Mu4eeYSwAAK7kcPo4u8LSzh7OVNWyVKugNBmgL9bidm4Pr/30ifrfWHt54JigEA5sEQlFB4YqIiCyfrVKF5m7uaO7mjkKDAYl5ObBTWeHo7euIy8rA8cSbOJ54E4tOHEIjByd0a+SHbg19EeHVEFYKDg+IiIiIqOpwdFmDCIIARysrOFq5I9DVHQCg1uuQlJcDV2tbXExLwaW0FGgKC3ElI9VYtCqLTBDQws0DHRv4oL9vMwS5uVdXN4iIqJrJZTI0dHDCqJZtIIZ3ws2cLPxzKwGHb13H6eRbuJGThQ2XzmLDpbOwlivQzrshejZuim6NfOFl5yB1fCIiIiKq4Vh8quFsFEr4Obni+ZZt4KCyQqHBgNu5OYjLSkeaOh8ZGjXydTooZXKo5HJ42NqhsaMzfJ1cyl3vQ63XQW8wVPjYZS2STkRElqvQIGL9pTPG78M96yOknidu5mYhIbtorag8nQ4Hb8bj4M14AECgaz10b+iHLg19EerhzdmxRERERPTAWHyqJQQAOf8tYu5sbY0w6/pltlPIZLCpYIFyvcGAdRdOV/iYkcFhD5yTiIhK/s4uj0EmQKlUmT2LUi6Hn5Mr/JxcIYoi0tT5cLGxxbHEGziXkojL6am4nJ6Kr/49AUeVFTrWb4yuDX3RuaEPPGx5UQoiIiIiqhiLT7XEvZ9ml+f5lm2qIQ0REd2PKb+zdTodRoW0raZERQRBQD1bO4xq2QZjWoUjs0CNI7dv4MjtBBy9fQPZWg12xV/FrvirAIAAFzd0a+SHjvUbo5W7F+yqoVhGRERERDUPi09ERERUwr3FMX9nNzRxckVKfi6uZ2fhek4mUvLzcCUjDVcy0rD635OQCwKC3DzQxrM+2njWR8t6nvC2c+BV9IiIiIiodhSfDAYDli9fjs2bNyM7Oxvh4eF499134ePjI3U0IiKiWkEmCPCyc4CXnQPaeTeEWq9DY0cXnEq+hVNJt5CYl4OLqcm4mJqM7y4WFa4cVVYIcK2HQFd3BLjUg5+TCxo7OqOejS2LUkRERER1SK0oPq1YsQIbN27EwoUL4enpiUWLFmHChAn47bffoFLxFAAiIqKqZqNQYmCTADwV1AoAcDs3G2eSb+N08m2cSbmN2Ix0ZGs1OJl0CyeTbpXY1lquQEMHJzRydIKnrT3cbe2KvmyK/l/Pxg6u1jaQV8Pi5qZcZMMgE9DIz8/sWYiIiIhqqxpffNJqtVi7di2mT5+O7t27AwCWLFmCrl27Ys+ePRg8eLDECS2LSYvc8ip2RET0gOrbO6K+vSMGNw0CAGgL9biWmYHL6XdwOT0VVzJScT07E4l5OSgo1CMmMw0xmWnl7k8mCHCysoaTlTUcVFZwVFnBycoKTlY2cLOxhZPK+r/vrWGvUsFKroC1QlH0f7kCVoqi/1dUwCq+yIYoihABiBDx33/Gf2t1OowKbl11TxYRERFRHVPji0/R0dHIy8tDhw4djLc5OjoiODgYJ06cYPHpHqYscsur2BERkSkq+kCjgYMjGjg4op9fM+OVVrWFhUjMy8GN7EzczMlCSn4eUtV5SMzNwZWMVOTrdFDrdTCIIjIK1MgoUD9URoVMBgFCUSEJwP/+91+xSTTec1+XM9OwrMegh8pCREREVFcJolizp7ns3r0bU6ZMwblz52BtbW28/ZVXXkFBQQG+/PLLB9rf6dNFn34qlcqqjmpUPNDN1WqLRu734aCyqnCmUlW3k+IxJWsnAg5WVsjRaKr1WFj0cyJVOxOPhUX3wcLbWfJrwtLbWfJrQrJ8D9DOUWVlUoHn7n3dPRNJFP/3f6VcDoMoQhRFGIq/jLOV/ldQqmrWCgVcrWzMtlaVTqeDIAho0+bhrkpbPI6pC8sOiKIInU4HpVJZJ9cQY//Zf/af/Wf/2X9L6L9WqzVpDFPjZz6p1UWfiN47yLKyskJWVtYD76/44JnzIBbv2+muYtn9OFlVfzspHlPSdhIcC4t/Tiz4WFh8Hyy4nSW/Jiy9nSW/JszyuFXczpR3VVP3VRsJglAlYw9LGIRWF0EQ6kSRrTzsP/vP/rP/dRX7b1n9N3UMU+OLT8WznbRabYmZTxqNBjY2Ng+8v7AwnnJGRERENRPHMURERGSJzH8ZGTPz9vYGAKSkpJS4PSUlBV5eXlJEIiIiIiIiIiKi/9T44lNQUBDs7e1x7Ngx423Z2dm4dOkS2rZtK2EyIiIiIiIiIiKq8afdqVQqREZGYvHixXB1dUWDBg2waNEieHl5oW/fvlLHIyIiIiIiIiKq02p88QkApk6dCr1ej9mzZ6OgoAARERFYs2aNRS3CRURERERERERUFwmiOa5HTEREREREREREhFqw5hMREREREREREVkuFp+IiIiIiIiIiMhsWHwiIiIiIiIiIiKzYfGJiIiIiIiIiIjMhsUnIiIiIiIiIiIyGxafiIiIiIiIiIjIbFh8qkYGgwGfffYZunbtitDQUIwdOxYJCQlSx6oTMjMz8c4776Bbt25o06YNnn32WZw8edJ4f1RUFCIjI9G6dWv06NEDa9askTBt3RAXF4ewsDBs3brVeBuPQ/X6+eefMWjQILRq1QqDBw/Gjh07jPfxWFQfnU6HJUuWoEePHggLC8Nzzz2H06dPG+/nsageK1aswMiRI0vcVtFzz/f16leZ41TT1fUxTFpaGqZPn44OHTogLCwML7zwAmJiYoz31/b+360ujp1u3bqFwMDAUl+bN28GUPv7D9Tt8dqxY8fKPP6BgYHo3bs3gNr9HNS6MaJI1WbZsmVix44dxQMHDohRUVHi2LFjxb59+4oajUbqaLXemDFjxMcee0w8ceKEGBsbK77//vtiSEiIGBPz/+3df0zVZf/H8dchpFIzrc1speYkEOUIRwMpNBSXMlE0N3WRzYJZm8ymyyIjh45VaireI5Vw/ijNaYlDJXSLatMmEaBpqYioZP5AJqikECBc9x/OUyf16/3VzkE+5/nYzibX53DOdV1vzvm8eHM8p9zU1NSYQYMGmZSUFFNeXm42b95s7Ha72bx5c2tP27IaGxvN+PHjTUBAgMnOzjbGGOrgYTk5OSYoKMisXbvWVFRUmE8++cT06dPH7N27l1p42H/+8x8TGRlpdu/ebSoqKkxKSooZMGCAqayspBYesmbNGhMYGGgmT57sHPtf9p7zumfdaZ3aOm/PMBMmTDCTJk0yBw4cMOXl5Wb69OkmMjLS1NXVecX6r/PW7PTtt98au91uzp07Z6qqqpyX+vp6r1i/t+e1hoYGl7pXVVWZH374wfTt29d8+eWXlt8Dq2VEmk8e0tDQYBwOh9mwYYNz7NKlS6Z///4mNze3FWdmfRUVFSYgIMCUlJQ4x1paWswLL7xgli5dajIzM82QIUNMU1OT8/jixYvNyJEjW2O6XmHx4sXmlVdecQlQ1MFzWlpazLBhw8z8+fNdxhMSEkxmZia18LC4uDjz0UcfOb/+448/TEBAgNm5cye1cLPKykqTmJhoQkNDTUxMjEtT43Z7z3ndc+6mTm2dt2eYmpoaM3PmTFNWVuYcO3z4sAkICDD79++3/Pr/zluz04oVK0xcXNxNj1l9/eS1GzU2NprY2FgzY8YMY4z1fwaslhH5b3ceUlpaqitXrigiIsI51qlTJ/Xt21dFRUWtODPr69Kli7KyshQcHOwcs9lsMsbo0qVLKi4uVlhYmHx9fZ3HIyIidOLECVVXV7fGlC2tqKhImzZt0oIFC1zGqYPnHD9+XKdPn9aYMWNcxletWqU33niDWnhY586d9f333+vUqVNqbm7Wpk2b5Ofnp6CgIGrhZgcPHtTDDz+sbdu2KSQkxOXY7fae87rn3E2d2jpvzzBdunTRkiVL9PTTT0uSzp8/r1WrVqlbt27y9/e3/Pqv8+bsdOTIEfn7+9/0mNXXT1670RdffKGzZ89q9uzZkqz/M2C1jEjzyUMqKyslSY8//rjLeNeuXXX27NnWmJLX6NSpk6KiouTn5+cc27Fjh06ePKnBgwersrJS3bp1c/merl27SpLOnDnj0blaXW1trd555x29//77NzwWqIPnVFRUSJLq6uqUmJioZ599VhMmTNB3330niVp4WkpKinx9fTV8+HDZ7Xalp6dr6dKl6tGjB7Vws+joaC1evFjdu3e/4djt9p7zuufcTZ3aOjLMX+bMmaPIyEjt3LlTH3zwgdq3b+8V6/f27FRWVqbq6mrFx8frueee00svvaTdu3dLsv76yWuuGhoalJmZqSlTpjjXafU9sFpGpPnkIfX19ZLkEh4k6f7771dDQ0NrTMlrlZSU6L333tPw4cMVHR2tP//886Z1kURt/mVz585VaGjoDX/BkUQdPOjy5cuSpOTkZI0ePVqrV69WZGSkpk2bpoKCAmrhYceOHVOnTp20bNkybdq0SePHj1dycrJKS0upRSu63d5zXr83eNtjxJszzJQpU5Sdna24uDglJSXp4MGDXrF+b85OjY2Nqqio0OXLlzVjxgxlZWXJbrdr6tSpXpFXyGuutm7dqoaGBpcPnbD6HlgtI/re/ir4NzzwwAOSrj2JXv+3dO0H48EHH2ytaXmd/Px8zZo1SyEhIVqyZImka7VpbGx0ud71B2z79u09PkerysnJUXFxsbZv337T49TBc9q1aydJSkxM1IsvvihJCgoK0qFDh7RmzRpq4UGnT5/W22+/rbVr1+qZZ56RJNntdpWXlysjI4NatKLb7T3n9XuDNz1GvD3DXP+vV2lpafr555+1fv16y6/f27OTn5+fioqK5Ovr6/wlOzg4WMeOHdOqVassv37ymqucnByNGDFCXbp0cY5ZeQ+smBF55ZOHXH+ZbFVVlct4VVXVDS+Xg3usX79e06dP1/PPP6+VK1c6f1no1q3bTesiSY899pjH52lV2dnZqq6udn5UqMPhkCSlpqYqNjaWOnjQ9eecgIAAl3F/f3+dOnWKWnjQgQMH1NTUJLvd7jIeEhKiiooKatGKbrf3nNfvDd7yGPHWDFNdXa3c3Fw1Nzc7x3x8fNS7d2/nY83K6yc7Xfsl+p+v7ggICNC5c+csv37y2l9qamq0b98+jRo1ymXcyntgxYxI88lD+vTpo44dO6qwsNA5Vltbq0OHDjk7mXCfDRs2KC0tTS+//LKWLl3qchILCwtTSUmJS7ApKChQr1699Oijj7bGdC1p0aJFysvLU05OjvMiSW+++aaysrKogwf17dtXHTp00P79+13Gy8rK1KNHD2rhQdcbGEeOHHEZLysrU8+ePalFK7rd3nNevzd4w2PEmzNMVVWV3nrrLf3000/OsaamJh06dEi9e/e2/Pq9PTuVlpbK4XCouLjYZfzXX3+Vv7+/5ddPXvvL3r17ZbPZFB4e7jJu5T2wZEZs7Y/b8yZLliwx4eHhJj8/3xw+fNgkJCSYESNGmIaGhtaemqUdP37c9OvXzyQlJZmqqiqXS21trTl//rwJCwszycnJ5ujRoyY7O9vY7XazZcuW1p665f3944Kpg2ctW7bMOBwOs337dvPbb7+Z5cuXmz59+pgff/yRWnhQc3OziY+PNzExMaagoMCcOHHCpKenm6CgILNv3z5q4UHJyclm8uTJzq//l73nvO55d1KntszbM0xLS4tJSEgwI0eONEVFRebIkSNm5syZJiwszJw+fdry678Zb8pOzc3NZsKECWb06NGmqKjIlJeXmw8//NAEBweb0tJSy6/fGPLadRkZGWbEiBE3jFt5D6yYEWk+edDVq1fNwoULTUREhAkNDTVTp041v//+e2tPy/JWrFhhAgICbnpJTk42xhizf/9+M3HiRBMcHGyGDRtm1q1b18qz9g5/D1DGUAdPW716tYmOjjb9+vUzcXFx5ptvvnEeoxaec/HiRTN37lwzdOhQ43A4zKRJk0xhYaHzOLXwjH82NYy5/d5zXve8O6lTW0aGMaa2ttakpqaayMhI079/f5OQkGDKysqcx62+/n/ytuxUXV1tZs+ebSIjI43dbjeTJk0yRUVFzuNWX78x5DVjjElNTTUTJ0686TEr74HVMqLNGGNa+9VXAAAAAAAAsCbe8wkAAAAAAABuQ/MJAAAAAAAAbkPzCQAAAAAAAG5D8wkAAAAAAABuQ/MJAAAAAAAAbkPzCQAAAAAAAG5D8wkAAAAAAABuQ/MJAAAAAAAAbkPzCQDuUmFhoQIDA1VYWNjaUwEAAPh/IccA8ASaTwAAAAAAAHAbmk8AAAAAAABwG5pPALzanDlzFBERoatXr7qMf/zxxwoPD1djY6Py8/MVHx8vh8Oh4OBgxcTEaP369be8zYyMDAUGBt4wHhgYqIyMDOfXDQ0NWrhwoaKiohQcHKwxY8YoLy/v31scAACwNHIMgLaC5hMArzZ27FhduHBBBQUFzjFjjPLy8hQTE6M9e/YoKSlJ/fr10/Lly5WRkaEnnnhCaWlp2rt37x3frzFGSUlJ2rhxo1577TWtWLFCDodDM2fOVE5Ozr+wMgAAYHXkGABthW9rTwAAWtPAgQP15JNPKi8vT0OGDJEklZSU6MyZMxo7dqz27duncePGKSUlxfk9DodDgwYNUlFRkQYMGHBH97tnzx7t3r1b6enpGjVqlCRpyJAhqq+v16JFizR69Gj5+vIUDQAAbo0cA6Ct4BkBgFez2WyKi4vTunXrNG/ePPn5+Sk3N1fdu3fXwIEDNXDgQElSXV2dTp48qRMnTuiXX36RJDU1Nd3x/RYUFMhmsykqKsrlpfLR0dHatm2bjh49qqCgoLtbHAAAsDRyDIC2guYTAK83btw4LV++XLt27dLQoUO1c+dOxcfHS5JqamqUmpqq/Px82Ww29ezZ0xnkjDF3fJ8XL16UMeaWf3GsqqoitAEAgNsixwBoC2g+AfB6PXv2VGhoqHbs2KF27drpwoULiouLkyTNmjVLx44d05o1azRgwAD5+fmpvr5eX3311S1vz2azSZKam5t13333SZKuXLnicp2HHnpI7du31+eff37LOQEAANwOOQZAW8AbjgOApLi4OO3atUu5ubkKDQ3VU089Jena+yaMHDlSERER8vPzkyTt2rVLktTS0nLT2+rYsaMk6ezZs86xf76pZ3h4uOrq6mSMkd1ud16OHj2qZcuW3fCpNQAAALdCjgFwr6P5BACSYmNjVV9fr6+//tr510JJ6t+/v7Zv366tW7eqsLBQmZmZevfdd2Wz2VRfX3/T24qKipJ07eOP9+zZoy1btig1NVUdOnRwuU5YWJimTZumDRs2qLCwUCtXrtTcuXPl4+OjRx55xL0LBgAAlkGOAXCvo/kEAJI6d+6sqKgo+fj4OD+1RZLmz5+vkJAQpaWlKSkpSfn5+Zo3b54GDx6s4uLim95Wr169tGDBAp05c0avv/66PvvsM6Wlpalr167O6/j4+CgrK0uxsbH69NNPlZiYqI0bN+rVV19Venq629cLAACsgxwD4F5nM3fzTnMAAAAAAADA/4FXPgEAAAAAAMBtaD4BAAAAAADAbWg+AQAAAAAAwG1oPgEAAAAAAMBtaD4BAAAAAADAbWg+AQAAAAAAwG1oPgEAAAAAAMBtaD4BAAAAAADAbWg+AQAAAAAAwG1oPgEAAAAAAMBtaD4BAAAAAADAbWg+AQAAAAAAwG3+C/lrL3btD0vFAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1200x400 with 2 Axes>"
       ]
@@ -1665,7 +1676,7 @@
     },
     {
      "data": {
-      "image/png": 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Fo2PHjsZvv/1mdOvWzfjXv/7luS0xMdGIjo42FixYYBiGYaxcudKIjo42Vq5c6WnzxBNPGIMHDzbcbrdhGIaRnJxsdOjQwfjyyy/LtO9Op+h5caavIifug5SUlBLHJDMz03j55ZeNHTt2FNt+0fNu165dRnR0tDFlypRiORYuXGhER0cbS5YsMQzDMAYNGmTcf//9xdpMmzat2L4q7TVjGIX76/333y+27KeffjKio6ONdevWFXscJz7/irb/2WefeZb9+OOPRnR0tLFt27ZT7sMbbrjBePDBB0vdr+XJdumll3qeI0XvAcOGDTNuuukmzzpDhw41Jk6cWGw7ixYtMqKjo43du3efMquImE/9BvUbTlTT+g1Fj6m0rwceeMBwOByetjfccINx2WWXGfn5+Z5lGRkZRp8+fYzHHnvMs6zo2M6bN8+4+uqrjauvvrrYdgYPHmz07t3byMzM9Cwr+ptXtN+eeuopz3O6rH2NE4/PqRQ9j07XDyjtGBiGYeTm5hoPP/yw0b59e6NXr17GwoULDcMwjFGjRhmvvvqqkZOTYzz99NPGJZdcYvzrX/8ycnJyTpvl999/N6Kjo41Ro0YZ+/fvN1JTU43333/f6NKlixEdHW0cOnTIOHbsmNGrVy/j2muvNTZu3GhkZWUZv/76qzFgwAAjOjra8xxISEgwrr76aiM6Otq45JJLjK1btxoOh8MYPHiw8csvvxj79u0z7rrrLuPKK68s0W852aOPPmpccMEFRl5enmfZxo0bjcGDBxubN28usX9O3u9n81o68Tmcm5trXHDBBcajjz5qGIZhzJs3z4iOjjY2bNjgaeN2u43bbrvNuP766w3DMIydO3cW265hGEZBQYFxxRVXlPpc+OCDD4wOHToYWVlZp90HUjU0AkqkjJ5++mlGjx5NVlYWmzdv5ptvvuHjjz8GKPHJQPfu3T0/e3t7U79+fU/1f+XKlTRt2pROnTp52gQEBJz208BTue+++/jPf/5DTk4OcXFx/PDDD7z33nvFMq1cuZLu3bsXG3IcFRVVLOPKlSsxDIMhQ4YU+zRsyJAhOByOU17Zw2otfAsp66SZf/75J15eXlxxxRXFlhd9QnPilUdat25NcHCw5/cGDRpQv379YqNFQkJCSkwY2b17d5o1a+b5PSYmhqZNm5Z6ZZm9e/eSlJRU4nH37t2bgIAA/vjjD0/bJ598kkaNGnH//ffTsGFDz2lpZXXDDTdw8OBBT46vvvoKX19fLr300lLbG4ZRYiTTmbz77rt8/vnnJb7+9re/nXKd8PBw2rRpw7/+9S+efvppvv/+ewzD4JlnniE6OrrUdf7880+AYqerAVx55ZV4eXmxatUq9u3bx6FDh0p82njllVeWus2T72vSpEncddddpKamsn79er744gvPyKCTX28njloq+mT5xHktQkJCgMKrDJ1KYmLiKT9RLk+2QYMGsXz5cgDWrl2L1WrlzjvvZMuWLeTm5rJv3z727dtX4nVflKGqT8sUkYqnfkNJ6jeUXVX0G07sK3z00UeMGTOGNWvWcO+991JQUEBOTg6bN2/miiuuwMvLy7NeUFAQgwcPLrb/L7vsMq688krGjh1LQkICEydOLHH61+DBgwkMDPT8PmTIEOx2e6n7uix9jbIq+ptanpFjvr6+vP3226xfv54///yTa6+9li1btrBs2TLuv/9+Xn/9dQ4fPsyUKVNISEjgzTffBEoflQ6FFx2ZMGECy5cv5+KLL6Zfv34sWbLEc7U2Pz8/6tevz6xZsygoKODGG2+kZ8+evPzyyzzxxBMA+Pv7A9C8eXO+/vpr1q9fz08//URMTAwff/wxjRo1YvDgwTz22GN07NiRV199lenTp5/2gjJr165lwIABxeZJ6tKlC7/88kux957TKctrycvLq1hf0NfXt9hVBFesWEGDBg3o2LGjZ78VFBQwePBgtmzZQkZGhmd7F110kWc7Vqv1lK+NqKgoCgoKSEpKKtPjkMqlSchFymj//v08//zzrFy5EpvNRqtWrTznPht/nXJU5ORhvFar1dMmLS2NsLCwEts/eUh2WaSmpjJ27Fh+/vlnLBYLzZs391yFo+j+UlNT6dixY4l1GzRowJEjR4DCc63h1MWB5OTkUpdHRUUBJYcIn5yxXr16+Pj4kJGRQWhoKDZb8beeBg0aABTrFJZ2xQ4/P79T3k+R0iZvDgsLK7X4UPS4X3jhBV544YUSt6ekpHh+9vf359JLL2X69On069evTFlO1K9fP5o0acLChQvp3bs3Cxcu5PLLLz/ldr788ssSndXFixeftvMUHR1d6u2n63BYLBZmzZrFu+++y6JFi/jyyy+x2+1cfPHFjBs3zlO8OVHR1YmKjlsRm81GaGgoWVlZnivEnPxcP3mdIie327x5My+88AKbN2/G19eXNm3aeJ5vJ7/eSnuunGoo/akcP378lMeiPNkGDhzI+++/T2JiIitXrqRHjx5ceOGFuFwu1q1bx549ewgNDS0xAWxRhtKuxCMiNYv6DSWp31B2VdFv6Ny5c7Hf+/TpQ4MGDRg9ejSLFy+ma9euGIZR6nMtPDy8xN+q6667ju+++47mzZuXuNIclNzXVquVkJCQUvd1WfoaZVXU9myPwYlOfI1OmDCB++67j5CQEH766SfGjBlD69atufnmm5k4cSJPPfUU77zzjmd+qiI7duwACguoV111Ffv378fPz4+IiAjefPNNrFarp0DXuXNnvvnmG5KTk8nNzaV58+aeotuJhVb4/4JUVlYWU6dO5d133yUxMZFt27YxY8YMwsLCGDp0KD/99JPnyosnS09PL/V95myU5bVUv359z3xVJ7YpOt7p6ekcOXKk1PcggCNHjnjaFp2qWORUfcwT94+YTwUokTJwu938/e9/x263M3/+fGJiYrDZbOzevfus52uJiIhg3759JZYfO3asxLKT58o5eT6CJ598kj179vD+++/To0cPvL29yc3NLXb53MjIyFK3feKyoKAgoHDy5Hr16pVo27hx41IfS4cOHQgPD2fp0qXcdtttpbYZN24cK1euZOnSpQQHB5OWlkZ+fn6xzmRRhy00NLTUbZyNos7hiY4ePVrsE5kiRY97zJgx9OnTp8TtJ/6B3717t2dy6fnz53P11VfTq1evMueyWCwMGzaMDz/8kNtuu43du3eXmIfiRIMHDy4xYWJlXRktIiKCcePGMXbsWOLi4vjxxx+ZPn06wcHBpXawi/bLkSNHinVsXS4XaWlphIaGeq6McvJzr7Tn4smOHz/OfffdR7t27fj2229p3bo1VquV3377jZ9++ulcHuoplfap+Llk69WrFwEBAaxYsYKVK1cyePBgwsLCaNOmDX/++Sdbt25l0KBBntEARYo6VRXxWhAR86jfoH5DTe03dOjQAYCEhAQuvPBCLBYLR48eLdHuyJEjxT6kysvLY/z48URHR7Nnzx6mT5/OAw88UGydk/d1QUEBaWlpJQoJULa+RlkVtc3MzCz1vs7Gb7/9xp49ezzzex07dsyzH4KDgz376m9/+1upxZ49e/awefNmrrvuOlq0aOFZvnXrVtq3b4+XlxdpaWksWbKEgQMHFhuJuHXrVqxWq+cYnWzq1Kn07NmTHj16sGHDBk+mou9bt2495eMKDAz0fHh48uNt3779Kdc7UVleS+np6RiGUWyi+6NHj3qKX4GBgbRo0YKJEyeWeh9NmjTxHM+jR48We68p7f5BfavqRqfgiZRBWloa8fHx3HDDDXTp0sXTCVq6dClQ9qHkUPjpUmJiItu3b/csczgcnm0VCQgIKDFUtGiC0CJr167l0ksvpV+/fp5hzidn6t27N+vXr/d8agmFf8yL/jAVtSl6nJ07d/Z8paen8/rrr5/yDd1qtXLXXXexZMkSFi9eXOL21atX88svv3DppZfi6+tLnz59KCgoKHYFIMDTGS/6FPZcrF+/vtgf0K1bt3LgwIFik2AWadWqFWFhYRw4cKDY446MjGTSpEls27YNKJyk86mnniIqKopPP/2UTp068cwzz5xygtITh6mfaPjw4WRlZfHKK6/QokWL0z7e0NDQYpk6d+58VlcyKav169dz/vnns2nTJiwWCx06dGDUqFFER0d7nn8nF0mKOt0nT+j43XffUVBQQM+ePYmMjKRZs2YsWrSoWJuyFJD27t1Leno6d9xxB23btvXcf3leb2UVFRV1yiu9lCeb3W7nggsu4JdffmHr1q307dsXKPxEe9myZaxevbrU02eK9vmp/nkTkZpB/Yb0Uh+L+g3Vv99QdJxbtGiBv78/nTp14vvvvy9W3MzKymLJkiXF8kyaNIlDhw7xxhtvcOedd/L22297RvwUWbZsmefKgFA4Qis/P7/UfV2WvgaU7KOUpuhv6rmeguV2u5k0aRKPPvqoZzRVWFiY57Vy5MgRTyElIiKixPEA2LVrF0899ZRnAncoLFb+/vvvXHzxxQCeqRD+97//edpkZ2czf/58+vTp4ymEnigpKYlPPvnEc5peUY6iglhKSsppRzj16tWrxPHZsWMHf//739m8eXOZ9k9ZXksul6vYFYHz8vJYunSpp02fPn04fPgwYWFhxfbdihUrmDFjBl5eXvTr1w+AH3/8sdj9//rrr6XmSkpKwsvLq1gxT8yjEVAif0lKSir16glt2rThwgsvJCoqio8//pjIyEiCgoL4/fffmT17NgC5ubllvp+rrrqK9957j4cffpjHHnuMoKAgZs2axbFjx4r90zl48GCmTZvG1KlTPVfgOPkSpF26dOGbb76hY8eOREZGsn79eqZNm4bFYvFkuuOOO/j444+59957efjhhwF45513cDqdnk8foqOjueaaa/jXv/7FwYMH6dSpE/Hx8UyePJkmTZoU+4TmZHfddRerV69m5MiR3HjjjZ5RHWvWrOGjjz6ibdu2PPXUUwAMGDCAvn37MnbsWFJSUoiJieHPP/9k+vTpDBs2jDZt2pR5P55Kbm4uI0aM4MEHHyQ7O5vJkycTHR3NVVddVaKtl5cXo0aN4vnnn8fLy4vBgweTmZnJlClTSE5O9gz/nTZtGlu3bmXOnDn4+fnx73//m+HDhzNx4kTPlWtOVDR8esmSJQQHB3s+OWrUqBHnn38+v//+O6NGjTrnx1oRYmJi8PX1ZcyYMTz66KOEh4ezfPlytm/f7rksdFFHZ9GiRQwYMIA2bdowbNgw3n77bfLy8ujbty/bt2/n7bffpm/fvvTv3x+LxcLIkSN58sknGTt2LEOHDiUuLs5zdaTTdRhbtmxJQEAAU6dOxWazYbPZ+Omnnzyf7J7N662sLrjgAj755JMSn8qdS7aBAwfyz3/+E39/f0/Hs2/fvsyZM8dToDrZ2rVradKkCS1btqzgRygiFU39BvUbanq/4cSiotvtZuvWrbzxxhtER0d7Ru/84x//4N577+W+++4jNjYWl8vFe++9h9Pp5JFHHgEKC4cfffQRjz/+OK1ateLRRx/lp59+4umnn2b+/PmeU66SkpJ48MEHueOOOzh8+DD//e9/ufDCCz0f0pyoLH0N+P8+yrfffkvXrl2LzflVpFevXvj6+rJu3TpiYmLKvb+++uorHA4Hw4cP9ywbOHAgH3zwAaGhocyePbvYvESlGThwIM2aNePJJ5/kscceIzs7m9dee40mTZpw5513AoWnll155ZW8/vrr+Pj4EBYWxrRp00hJSWHSpEmlbveNN97g8ssv97wmmjRpQtu2bZk0aRJDhw5l0aJFvPzyy6fM9dBDD3HTTTcxYsQI7rzzTpxOJ2+88QYdO3ZkwIABrF+//oz7p6yvpX/+8588/vjjhIWFMXPmTHJycjxXXL7++uuZM2cOd999Nw888ACNGjVi+fLlTJ8+ndjYWOx2O82bN+emm25i8uTJ5Ofn06FDB7766qsSBc8ia9eupVevXud0CqZUHBWgRP6yf/9+XnnllRLLhw0bxoUXXsiUKVMYP348Tz/9NN7e3rRp04Z3332Xl19+mTVr1nD77beX6X5sNhszZ85k/PjxjBs3DpvNxjXXXENoaCjx8fGedvfffz+pqanMmjULl8vFoEGDGD9+vOcNGuDVV1/l3//+N//+97+Bwk+rXnjhBb7++mvPBH1BQUF8+OGHjB8/njFjxlCvXj1uvfVW/P39PedEA7zyyitMmzaNuXPnkpSURFhYGFdccQWPP/74KT+Zg8KRHlOmTGHevHl89dVX/PDDDzidTpo0acL999/P7bff7hmeb7FYmDZtGm+++SYffvghqampNGnShFGjRnH33XeXaf+dSa9evejXrx/PPvssUDjB5ZgxY075KeCNN95IvXr1mDFjBvPmzcPf358ePXowceJEmjZtSlxcHO+++y4333yzZ+h8+/btueuuu5g5cyZDhw4t0dlp27YtV111FR9//DHLli0rdunqwYMHs3z5cq677roKebznysfHh1mzZjFp0iTGjx9PZmYmLVq04MUXX+T6668HCosm559/PpMmTWLFihW89957jB8/nubNm7NgwQJmzpxJw4YNuf3223n44Yc9xaWrr76anJwcZs6cyYIFC2jbti3PPvsszz77bLHn3skCAwOZMmUKr732Go899hj16tWjQ4cOzJkzhxEjRrBmzRqGDBlSofvhkksu4Z133mHz5s106dKlQrINHDgQi8VCjx49PKMf+vTpg8VioU+fPqXOV7Js2bISE7eLSPWkfoP6DTW933DTTTd5frbb7TRs2JArrriCxx57zPP4zzvvPN5//33efPNNnnjiCby9venVqxf/+c9/aNu2LTk5OZ4Ll9x7771A4Zw7Y8eO5e9//zvvvvsuI0eOBArnDAsKCuLxxx/H39+fYcOGnbawVpa+xiWXXMJXX33F008/zQ033MC4ceNKbMfPz48BAwbw22+/ERsbW6595XA4eOONN3j66aeLnQ46atQonnrqKUaNGsV5553HY489dtrt+Pn5MWPGDF5++WWefPJJfHx8GDBgAE888USxfsELL7zAxIkTmTRpErm5uXTr1o3Zs2eXOiH4zp07+fHHH4uNFLRYLEyYMIGnnnqKpUuXcuuttzJ06NBT5oqJieGjjz5i0qRJjBo1inr16jFw4ECefPLJMo+kK+trady4cbz88sukpqbSo0cPPv30U5o3bw4UPnc+/vhjJk2axIQJE8jKyiIqKop//OMf3HPPPZ5tjB07lvDwcObMmUNGRgb9+/fngQce4PXXXy92Xw6Hgz///JPHH3+8TI9BKp/FOHkWRBGpVLt27WLv3r1ccsklxUZaDB8+nEaNGpWYsPBcbdy4kfT0dAYOHOhZlp+fz6BBg7jyyivP+qos1VlRZ/6jjz4yOcmpjRgxAi8vL8/cAbXZt99+S0xMDK1atfIsK7rSy1dffVXmOQWqygMPPED9+vVP+wlhZfrzzz+57777+Pnnnyttvi8RqXnUb6g86jdUnSFDhtCnTx9effVVU+5/8+bN3HTTTSxatMgzGb5UnLK8lt56661ST82sTF9++SWTJk3i559/PusL1Ejl0AgokSqWk5PDY4895vkkoqCggG+//ZatW7cyevToCr+/Q4cOMWrUKB5++GH69OlDbm4uc+fOJSsri7/97W8Vfn9SunfeeYf4+HiWLl3KnDlzzI5TJb7++msmT57M448/TqNGjTyXJ+7Tp0+1Kz5B4aeYt956K4888ogpczBNnz6dO++8U8UnESlG/Ya6qS72GypT586dueyyy5gxYwZjx441O45UgYKCAmbNmsUjjzyi4lM1ogKUSBXr2rUrr7/+OjNnzmThwoUYhkFMTAwzZszwTKpXkS6//HLS09P55JNPmDlzJna7na5duzJnzpxSL5ErleOXX35h3759jB492jN5a233n//8xzOEOjU1lfDwcC6//HLPUPzqpl27dtx///1MnDiR//73v1V638uWLSMpKckzR5aISBH1G+qmuthvqGzPP/88119/Pbt3766Q+cOkevvss89o2LAhN998s9lR5AQ6BU9ERERERERERCrVma9bKSIiIiIiIiIicg5UgBIRERERERERkUqlApSIiIiIiIiIiFQqTUJ+kvXr12MYBna73ewoIiIiUge4XC4sFgvdu3c/522pHyMiIiJV6Wz6MRoBdRLDMNC87OVjGAZOp1P7r4bTcaz5dAxrBx3Hmq+sx7Ai+x7nsi0958yjfW8O7XfzaN+bQ/vdPLV5359N30MjoE5S9Ilh586dTU5S8+Tk5LB9+3batGmDv7+/2XGknHQcaz4dw9pBx7HmK+sx3Lx5c4Xd57n0Y/ScM4/2vTm0382jfW8O7Xfz1OZ9fzb9GI2AEhERERERERGRSqUClIiIiIiIiIiIVCoVoEREREREREREpFKpACUiIiIiIiIiIpVKBSgREREREREREalUKkCJiIiIiIiIiEilUgFKREREREREREQqlQpQIiIiIiIiIiJSqVSAEhERERERERGRSqUClIiIiIiIiIiIVCoVoEREREREREREpFKpACUiIiIiIiIiIpXKZnYAEam5cvNd5LvdZ2xns1rxs9mrIJGIiIiIiIhURypAiUi55bvdfLhl3Rnb3dGpRxWkERERERERkepKp+CJiIiIiIiIiEil0ggoEakWdDqfiIiIiIhI7aUClIhUCzqdT0REREREpPbSKXgiIiIiIiIiIlKpVIASEREREREREZFKpQKUiIiIiIiIiIhUKhWgRERERERERESkUqkAJSIiIiIiIiIilUoFKBERERERERERqVQqQImIiIiIiIiISKUyvQB18OBB2rVrV+Lrs88+A2D79u3ExsbSrVs3Bg0axMyZM4ut73a7efPNN+nfvz9du3blnnvuYd++fWY8FBEpo7z8fFJzc3AWFJgdRURERERERKqAzewAO3bswMfHh59//hmLxeJZHhgYSFpaGnfffTcXX3wxL7zwAhs2bOCFF14gJCSE4cOHAzBlyhTmzp3LK6+8QkREBBMmTGDEiBF8++23eHt7m/WwRAQocLtJyj7OzE1rSMhMY2fqUVJyjpObn+9p42+z0zqkPv0aNyMjL5dw/3omJhYREREREZHKYHoBaufOnbRs2ZKGDRuWuG327Nl4e3szbtw4bDYbrVu3Zt++fUyfPp3hw4fjdDqZNWsWo0ePZuDAgQBMnjyZ/v37s2jRIq688sqqfjgidV6+2018Rho7045yMCuTfMN92vY5+S42H01m89FkAFoGh3JhVHMCvX2qIq6IiIhUAcMwcDqdZscoxuFw4HK5cDgceHl5mR2nTjmXfe/t7V1s4IKI1BymF6B27NhBmzZtSr1tzZo19O7dG5vt/2P269ePadOmcezYMQ4ePEh2djb9+vXz3B4UFERMTAyrV69WAUqkCuW4XGw4cphtR1Nwuv//1Dp/m50Lm7Sga8NGtK8fTlRAMKG+vvjZ7Bx3OUnNy2Ft0iEW79vN7wf2EZ+RRmJmBuc1bkrnBpEmPiIRERGpKE6nk5EjR5odQ2qBN998Ex8ffVApUhOZXoDauXMnDRo04NZbbyUhIYHmzZvz0EMP0b9/f5KSkoiOji7Wvmik1KFDh0hKSgKgUaNGJdocPny4ah6ASB3nKihgdfJBthxJ9ox2CrR7E10/nDYhYdT39ePOzj1LHdEU7ONLsI8vLYPrc2nLtkxe/TtLDyRwODuLZQf34XK76RHRuKofkoiIiIiIiFQwUwtQTqeThIQE/Pz8GDNmDP7+/nz99deMGDGC999/n7y8vBLzOBVVux0OB7m5uQCltsnIyCh3LsMwyMnJKff6dVXR8Sj6LjXT2RzHFckH+DRuE8ddhUPqG/j5071BI5oFBHmGRufn5+N2u8/4mnJbLQTZ7FzZvA3rjySx9shhVh5OpKCggG4njIQqy7bqOr0Wawcdx5qvrMfQMAydTiJ1yoPX1sdu03O+iCvf4N2vUgHtm1M5cR+JSM1lagHK29ub1atXY7PZPEWkTp06sWfPHmbOnImvr2+Jc8UdDgcA/v7++Pr6AoWFrKKfi9r4+fmVO5fL5WL79u3lXr+uS0hIMDuCVIDTHccCw2DuoXh+OnoQAD+rF12D6hPh7YvF4eKo41ix9g6Hg92795z2/pq2ac2Ro0cLf7baya4XTFx2BqtTDuHOc9DUr16ZtyWF9FqsHXQca76yHENdOEXqErvNoiLLKWjfiEhtZvopeP7+/iWWRUdH8/vvvxMZGUlKSkqx24p+j4iIIP+vK2mlpKTQrFmzYm3at29f7kx2u/2U81LJqeXm5pKQkECLFi3OqQAo5jrTccxyOvjn8sWs/Kv41LF+A3o3bIz9NBNI+vj40KFDh9Per8tqoUF4uOf3BuHh+CYfZMPRZDYfTyc6shEBdu8ybauu02uxdtBxrPnKegx3795dhalEREREzGFqASouLo5bbrmF6dOn06tXL8/yLVu20KZNGzp06MDcuXMpKCjwXB1hxYoVtGzZkrCwMAIDAwkICGDVqlWeAlRmZibbtm0jNja23LksFkuphTEpGz8/P+2/WqC043g0N5sRv3zDnvRUfL1sPH/+EA5knfl0V6vVir/v6SeLzHI6sNvtxZb1i2rOoZzjpORk8/vhRK5q1Q4vq5UC65nz26xW/Gz2MzesxfRarB10HGu+Mx1DnX4nIiIidYGpBajo6Gjatm3LCy+8wNixYwkNDWX+/Pls2LCBzz//nPDwcGbMmMGzzz7Lfffdx6ZNm5g9ezYvvPACUDhcPTY2lokTJ1K/fn2ioqKYMGECkZGRDB061MyHJlLrpOXlct+PX7AnPZWG/vV45+JraRoUzIdb1lXafVotFi5q1pr5OzaTmJXB1mMpFLgN5mxbf8Z17+jUo9JyiYiIiIiIyNkxtQBltVqZOnUqEydO5PHHHyczM5OYmBjef/992rVrB8CMGTMYP348w4YNo0GDBowZM4Zhw4Z5tjFy5Ejy8/N57rnnyMvLo3fv3sycOVNzKYhUoAxHHvf9+AW70o7RwK8eH1x+A82DQ8lyOir9vkN9/ejXuBl/HNzHykOJZFbBfYqIiIiIiEjFMn0OqPr16/Pyyy+f8vYuXbowb968U97u5eXF6NGjGT16dGXEE6nz8t1unvjlO+JSjxDm68+sy4fTPDi0SjN0CY9g+7EUUvNymbt9I/72un1qnYiIiIiISE1ThplURKQum/DnUlYeTsTPZue9S4fRKqR+lWewWCz0jmwCwPwdm8nNd1V5BhERERERESk/FaBEpISmLVvislr4dPtG5mzbAMDY84cQFRhEltPh+XIbRpVlahUcSrifPzn5LtanHK6y+xUREREREZFzZ/opeCJSDXlZmbRqKQv3xgHQOzKK/ZnpJSYcj43pXmWRLBYLfSKb8H38TrYcSaZbg0j87ZrrTUREREREpCbQCCgRKcFZUMCvBxIoMAyaBQbTKyLK7EgANA8KISasIfmGmy1HU8yOIyIiIiIiImWkApSIlDBz6zpSHbn4etkY0qwVFovF7EhA4Siom9p1AWB7agoFhtvkRCIiIiIiIlIWKkCJSDFrkg8xf9dWAIY0a1XtTnMb1LQlfjYb2S4XCRnpZscRERERERGRMlABSkQ88vLzeXn1UgDah4bTIjjU5EQl2b286BDWEIAtR5NNTiMiIiIiIiJloQKUiHhM2/gnicczCff1p281mfepNB3DGmIBDh7PJC0v1+w4IiIiIiIicgYqQIkIALvSjjJr0xoARnbri7eXl8mJTi3Q24fmQSGARkGJiIiIiIjUBCpAiQhuw2DcH4vJN9wMimpB/6jmFbp9C5DldJz2y20YZ7XNTuERAOxMO0aBW5ORi4iIiIiIVGc2swOIiPm+3RPHhpTD+NnsPNnz/ArffoHbYM629adtExvT/ay22SQwGH+bnZx8F4lZGdVyvioREREREREppBFQInVctsvJf1f/DsD9XfsQ4R9gcqKysVostAkNAwpHQYmIiIiIiEj1pQKUSB03feNqjuRm0zQwmDs7nd0oJLNF/1WASshIw1lQYHIaERERERERORUVoETqsMTMDD7Ysg6AMX0H4O1Vs87KbeBXj2AfX/INN/EZqWbHERERERERkVNQAUqkDnt97e+43AWcH9WMwU1bmR3nrFksFs8oqF06DU9ERERERKTaUgFKpI7adCSJH+N3YQGe7N0fi8VidqRyiQ4NByAxK4Mcl8vkNCIiIiIiIlIaFaBE6iDDMPjv6mUAXNs2hnb1G5icqPyCfXxp6F8PA9ir0/BERERERESqJRWgROqgpQcSWJ10EB8vLx7pfp7Zcc5Z65D6gApQIiIiIiIi1ZUKUCJ1SG6+i/S8XCb+uRSAG9t1JsDbmyynw/Plslqw271NTnp2WgUXFqAOZWWRl59vchoRERERERE5Wc265JWInJN8t5vnlv2PvRlp+Hh54W314sO/roJXxOVycWeXXiYlLJ9gH1/CfP05lpdDQmYa7WvwKYUiIiIiIiK1kUZAidQhefku/kw6AEDPiCh8bbWnBt0qJBSAvek6DU9ERERERKS6UQFKpA6ZF7eZbJeLALs3ncIjzI5ToYpOw0vMysBVUGByGhERERERETmRClAidURaXi4fbl0PQN9GTbBZa9fLv76vH8HePhQYBvuy0s2OIyIiIiIiIieoXf+BisgpvbfxT7JdTsJ8/YkODTc7ToWzWCy0Kroank7DExERERERqVZUgBKpAw5mZfDp9k0AnNe4KRaLxeRElaNlcOE8UPsy03UanoiIiIiISDWiApRIHfD2upW43AX0ioyiaWCw2XEqTYR/AH42Oy63m3Uph8yOIyIiIiIiIn9RAUqkltuReoRv9mwH4KFu/Wrt6CcoPA2vRVAIAMsOJJiaRURERERERP6fClAitUBuvossp6PUr4l/LsMALmrWmvZhDcyOWumKTsP7/UAChmGYnEZEREREREQAbGYHEJFzl+928+GWdSWWH8zKZPmh/ViAiHoBUAfqMU0Cg7FZrCRlHycu9QgdwhqaHUlERERERKTO0wgokVrKMAxWHN4PQExYQ0J8fE1OVDVsVqtnnqtf9+81OY2IiIiIiIiAClAitdbejDRScrKxWa30jowyO06VahEcAsASFaBERERERESqBRWgRGoht2Gw6nAiAF0bROJv9zY5UdVqHhSKBdh6LIWk7Cyz44iIiIiIiNR5KkCJ1ELbjx0h3ZGHr5eN7g0bmR2nyvnb7XRqEAnAb4nxJqcRERERERERFaBEahmXu4DVSQcA6BkZhbdX3bzWQP8mLQD4Zd8ec4OIiIiIiIiIClAitc2mI0nk5LsI9PahUx2+AlxRAWrV4QNku5zmhhEREREREanjVIASqUXy8l2sTz4MQJ/IJnhZ6+5LvEVQCM2CQnC5C/jj4D6z44iIiIiIiNRpdfe/U5FaaG3yIZzuAsJ8/YkODTM7jqksFguDm7YC4FddDU9ERERERMRUKkCJ1BIZjjw2H00GoF/jplgsFpMTmW9I88IC1G+J8eS73SanERERERERqbtUgBKpJVYc2o/bMGgSGESzwGCz41QL3Ro2JtjHlwxHHhtSDpkdR0REREREpM5SAUqkFliffIi9GWlYgAsaN9fop7/YrFYGNmkJ6DQ8ERERERERM6kAJVLDuQ2DN9YuB6BDWEPC/PxNTlS9DGpWeBreL/v3YhiGyWlERERERETqpmpVgIqPj6d79+588cUXnmXbt28nNjaWbt26MWjQIGbOnFlsHbfbzZtvvkn//v3p2rUr99xzD/v26YpXUnd8s3s7calHsFut9IlsYnacaufCJs2xW73Yn5lOfEaa2XFERERERETqpGpTgHK5XDz55JPk5OR4lqWlpXH33XfTokULFixYwKOPPsobb7zBggULPG2mTJnC3Llzeemll5g3bx4Wi4URI0bgdDrNeBgiVSrH5fKMfuoZEYW/3W5youqnnt2bvo0KC3O/7N9jchoREREREZG6qdoUoN566y3q1atXbNn8+fPx9vZm3LhxtG7dmuHDh3PXXXcxffp0AJxOJ7NmzeLRRx9l4MCBtG/fnsmTJ5OcnMyiRYvMeBgiVeqDLWtJzjlOo3qBdGkQaXacamvwX6fhaR4oERERERERc1SLAtTq1auZN28e//nPf4otX7NmDb1798Zms3mW9evXj/j4eI4dO0ZcXBzZ2dn069fPc3tQUBAxMTGsXr26yvKLmCE5+zizNq8B4OEe/bBZq8XLuVoqmgdqY8phjuXmnKG1iIiIiIiIVDTT/2PNzMxkzJgxPPfcczRq1KjYbUlJSURGFh/V0bBhQwAOHTpEUlISQIn1GjZsyOHDhysxtYj53lj7B7n5+XRr2IiLmrU2O061FlkvkI5hDTGApYnxZscRERERERGpc2xnblK5xo0bR7du3bj66qtL3JaXl4e3t3exZT4+PgA4HA5yc3MBSm2TkZFR7kyGYRSbi0rKpuh4FH2XyrM99Qhf7d4OwONd+2IYBi6X64zrGZy5nSs/v9j3c91eWdtV5Lag8AIFJ76OL2jUlK3HUvg5fheXNml5xvVrMr0Wawcdx5qvrMfQMAwsFktVRBIRERExjakFqIULF7JmzRq++eabUm/39fUtMZm4w+EAwN/fH19fX6BwLqiin4va+Pn5lTuXy+Vi+/bt5V6/rktISDA7Qq1mGAYv79kEwPkhDbCmHMMRFMKRo0fLtG5Z2gGkp6dX2PbK0q4itwWF7wO7d///pONNnW4Alh/ez8atW/C2ep1xGzWdXou1g45jzVeWY3jyh2kiIiIitY2pBagFCxZw7NgxBg0aVGz52LFjmTlzJo0bNyYlJaXYbUW/R0REkP/XCI2UlBSaNWtWrE379u3Lnctut9OmTZtyr19X5ebmkpCQQIsWLc6pACin9+uBeHZkZ+Lj5cUz/YcSWS8Al9VCg/DwM65rsZy5XdHIp5CQEOy2079FlGV7ZW1XkduCwpGQHTp08Pze3jB458AuknKOkx4cwMAmLc64jZpKr8XaQcex5ivrMdy9e3cVphIRERExh6kFqIkTJ5KXl1ds2SWXXMLIkSO54oor+O6775g7dy4FBQV4eRWOVlixYgUtW7YkLCyMwMBAAgICWLVqlacAlZmZybZt24iNjS13LovFgr+/f/kfWB3n5+en/VdJnAUFvLXxTwDu6tSTVg0K50TLcjqw2+1nXN+CpUztAOw22xnblnV7ZWlXkdsCsFqt+Pv6FFs2tGVbPtq6niWH93N5dMwZt1HT6bVYO+g41nxnOoY17fQ7wzCAmpdbRESkrqluf7NNnYQ8IiKC5s2bF/sCCAsLIyoqiuHDh3P8+HGeffZZdu/ezRdffMHs2bO5//77gcLh6rGxsUycOJHFixcTFxfHqFGjiIyMZOjQoWY+NJFK8cn2jSRmZRDu58+9XXqZHafGubRFWwB+3b8XZ8GZ57gSEZHiDMNgwoQJTJgwwdOpFRERkeqnOv7NNn0S8tMJCwtjxowZjB8/nmHDhtGgQQPGjBnDsGHDPG1GjhxJfn4+zz33HHl5efTu3ZuZM2dqLgWpddLycpm6YSUAj/W8gHp2PcfPVteGjYjwDyA55zh/HNzP4GatzI4kIlKjOJ1O9uzZ4/m56OIwIiIiUr1Ux7/Z1a4AtWPHjmK/d+nShXnz5p2yvZeXF6NHj2b06NGVHU3EVFPWryTL6aR9/QZc26bDmVeQEqwWC0NbtGHOtg38L36XClAiIiIiIiJVxNRT8ETk9HLzXWQ5HWw6ksS8uMIr3z3a4zxy/lpe9OWuJkMqa4JLik7DS9yj0/BERERERESqSLUbASUi/y/f7ebDLev4bu8OCgyDlkGhbD2azNajycXaxcZ0Nylh9WWhcHL2k7UJDaOBXz2O5Gbzy769DGzWEj9b2SZmFxERERERkfJRAUqkmkvMymBfZjpWLJzXuKnZcWqMArfBnG3rS70tsl4AR3KzeW/jn1zQpHkVJxMREREREal7dAqeSDVW4Hbzx8F9AHQKjyDE18/kRLVDm5AwAPZmpJKX7zI5jYiIiIiISO2nApRINfbNnjhS83Lx8fKiV2SU2XFqjch6AQR5++Byu1mamGB2HBERERERkVpPBSiRauq408G0jX8C0CuyCb42nTFbUSwWC9Gh4QD8EL/T5DQiIiIiIiK1nwpQItXU9E2rScvLJcTHl07hDc2OU+tE1y8sQP15OJGjudkmpxEREREREandVIASqYYOZmXw4dbCCbTPa9wML4teqhUtxMeXCP96FBgG3+/dYXYcERERERGRWk3/1YpUQ5PX/IGzoIBekVG0CAoxO06tVXQa3je740xOIiIiIiIiUrupACVSzWxIOcQP8TuxACN7nI/FYjE7Uq3VJjQML4uVbcdS2JV21Ow4IiIiIiIitZYKUCLViGEYTPhzGQDD2nb0zFMklcPPZqd/k+YAfLZji8lpREREREREai8VoERMkJvvIsvpKPH1/d4dbEg5jI+Xjbs798RtGGZHrfWGte0IwNe7t5HjcpmcRkREREREpHbSdd1FTJDvdvPhlnXFlrkNg3k7NgPQMawhP+zdQWxMdzPi1Sm9GzWhaWAwiVkZ/Bi/k+ujO5odSUREREREpNbRCCiRamJH6hHS8nLx8fKie8NGZsepM6wWCze26wzA/LhNJqcRERERERGpnVSAEqkG8t1u/kw6CEDPiCh8bBqcWJWuaxuDzWpl89Fkth1NMTuOiIiIiIhIraMClEg1sPloMtkuJwF2bzqFR5gdp84J8/NnaPM2AMyN22hyGhERERERkdpHBSgRkzny81mXXDj6qXdkE2xWvSzNcEuHrgB8syeOo7nZJqcRERERERGpXfSfrojJ1qccxlFQQKivH+3qh5sdp87qEdGYLg0icRYU8PE2jYISERERERGpSCpAiZgo2+Vk05EkAPo1aorVYjE5Ud1lsVi4u3NPAOZu30iOy2VyIhERERERkdpDBSgRE61JOki+4SayXgAtgkLMjlMnWYAsp4Msp4M+kU1oEhhMptPBp9s3epZnOR3k5qsgJSIiIiIiUl661JaISbKcDranHgEKRz9ZNPrJFAVugznb1nt+bxUcyoGsDKZvWk2Oy+kZlXZHpx5mRRQREREREanxNAJKxCTrUw7hNgwaBwTSOCDI7Djyl/b1G+Bns5HldLAz9ajZcURERERERGoFFaBETJCSc5xtxwpHP/WOaGJyGjmRzWqlW8NGAKxJPkiB4TY5kYiIiIiISM2nApSICT7augG3YdCoXiCNAwLNjiMn6RQegZ/NTqbTQdwxjYISERERERE5VypAiVSxlJzjfLVrGwC9I6M091M1ZLd60SOiMQBrkw9S4NYoKBERERERkXOhApRIFZu1eS1OdwGR9QKI0txP1VbHsIbUs9s57nKy9ViK2XFERERERERqNBWgRKrQkZxs5sdtAqBXhEY/VWc2q5WeEVEArEk6yHGnw+REIiIiIiIiNZcKUCJV6P3Na3EUFNApPIKmgcFmx5EziAlrSKiPL3kF+XywZZ3ZcURERERERGosFaBEqsjR3Gzm/TX66d4uvTT6qQawWiyc17gZAPPiNnEgK8PkRCIiIiIiIjWTClAiVWT2lnXkFeTTKTyCfo2amh1Hyqh5UAhNAoJwud1MXvO72XFERERERERqJBWgRKrAcaeD+XGbAbi/Wx+NfqpBLBYL50c1xwL8GL+LNUkHzI4kIiIiIiJS46gAJVIFPt+xheMuJ62CQxnUtJXZceQshfv5c13bGADGr1hCvtttciIREREREZGaRQUokUrmchfw0bb1ANzVuSdWjX6qkR7o1pdgH192ph31zOUlIiIiIiIiZaMClEgl+2HvTpKyjxPm589VrdqbHUfKKdjHl8d6ng/A2+tWkJqbY3IiERERERGRmkMFKJFKZBgG729eC0BsTDd8bDaTE8m5uCG6Ex3CGpDpdPD62uVmxxEREREREakxVIASqUSrDh9gZ9pR/Gw2/ta+i9lx5Bx5Wa38s99gAL7YuYVNR5JMTiQiIiIiIlIzqAAlUok+/mvup2vbxBDi42tyGqkIPSIac02bDhjA+BW/4jYMsyOJiIiIiIhUe+UqQK1evZrs7OxSb8vMzOS77747p1AitcGBrAx+3b8XgFtjupkbRirUE70upJ7dmy1Hk/ly11az44iIiIiIiFR75SpA3XHHHezZs6fU27Zt28YzzzxzTqFEaqrcfBdZTgdZTgezt6zDAPo2akpD/3qe5VlOh0bN1HAN/OvxUPd+AExe8wcZjjyTE4mIiIiIiFRvZZ4R+amnnuLw4cNA4cTK48aNIyAgoES7hIQEwsPDKy6hSA2S73bz4ZZ1uAoK+HzHFgDCfP34cMu6Yu1iY7qbEU8q0G0xXVmwcwt701N5e90Knj1vsNmRREREREREqq0yj4C69NJLMQwD44SRG0W/F31ZrVa6devGK6+8UilhRWqKHWlHcboLCPb2oXlQiNlxpBLYrV48228QAHPjNrEj9Yi5gURERERERKqxMo+AGjJkCEOGDAHg9ttvZ9y4cbRu3fqcAxw7doxXX32VZcuW4XA46N27N2PGjKFNmzYAbN++nfHjx7NlyxZCQkK4/fbbuffeez3ru91u3n77bT777DMyMzPp2bMnY8eOpXnz5uecTaQ8DMNgy9FkADqFR2CxWExOJJWlX+NmXNqiLT8l7GL8iiXMvuIGHW8REREREZFSlGsOqI8++qhCik8ADz74IImJiUyfPp3PP/8cX19f7rrrLnJzc0lLS+Puu++mRYsWLFiwgEcffZQ33niDBQsWeNafMmUKc+fO5aWXXmLevHlYLBZGjBiB0+mskHwiZysp5zipebnYLFba1W9gdhypZE/26Y+vl421yQf5bu8Os+OIiIiIiIhUS2UeAXWi3Nxcpk6dyq+//kpubi5ut7vY7RaLhZ9//vmM20lLS6NJkyY8+OCDtG3bFoCHHnqIa6+9ll27drFixQq8vb0ZN24cNpuN1q1bs2/fPqZPn87w4cNxOp3MmjWL0aNHM3DgQAAmT55M//79WbRoEVdeeWV5Hp7IOdn61+inNqFh+NrK9RKTasgCZDkdJZYHevtwZ6ceTNv4JxP+XEq/xk0J96tX9QFFRERERESqsXL9dzx+/HgWLFhAnz596NChA1ZruQZSERoayn//+1/P70ePHmXmzJlERkbSpk0b3nrrLXr37o3thH/i+/Xrx7Rp0zh27BgHDx4kOzubfv36eW4PCgoiJiaG1atXqwAlVS49L5c96akAdAxvaHIaqUgFboM529aXepthGAR5+3A0N4f3Nq7mn3/NDSUiIiIiIiKFylWA+t///seoUaP4+9//XmFB/vWvfzF//ny8vb1599138ff3Jykpiejo6GLtGjYs/Kf+0KFDJCUlAdCoUaMSbYqu2CdSlb7bu4MCw6CBnz8NNQqmzrBZrVwY1Zzv43cyd/smbm7fhVYh9c2OJSIiIiIiUm2UqwCVn59Ply5dKjTInXfeyU033cSnn37Kww8/zCeffEJeXh7e3t7F2vn4+ADgcDjIzc0FKLVNRkZGubMYhkFOTk6516+rio5H0fe6xm0YfLlzKwDtQ8PJz88/ZVsDA5fLdcZtmtHO9Vdu12nyV8b9Vud9UpZ2Uf4BNA0IIvF4Ji/9sZi3Bl1h2oTkdf21WFvoONZ8ZT2GhmHoAgYiIiJS65WrAHXhhReydOnSYqe+nauiq979+9//ZsOGDcyZMwdfX98Sk4k7HIVzsPj7++Pr6wuA0+n0/FzUxs/Pr9xZXC4X27dvL/f6dV1CQoLZEUyx7Xg6B45nYrNYCHa5OXL06CnbGoZx2tvNbgeQnp5epfdb3fdJWdq186lHUs5xViUfZP6fK+gSFHrG7VamuvparG10HGu+shzDkz9MExEREaltylWAuuKKKxg7diypqal07dq11GLPddddd8btHDt2jBUrVnD55Zfj5eUFgNVqpXXr1qSkpBAZGUlKSkqxdYp+j4iI8IwwSUlJoVmzZsXatG/fvjwPDQC73e4piEnZ5ebmkpCQQIsWLc6pAFhTfbLiFwDahITRqOHp53+yWCw0CA8/4zbNaFc08ikkJAT7GSZRr8j7rc77pKztGgBh4eHM27GZr9IOc2Of87CaMKqhrr8Wawsdx5qvrMdw9+7dVZhKRERExBzlKkA9/vjjACxcuJCFCxeWuN1isZSpAJWSksI//vEPwsLCOO+884DC0Ufbtm1jyJAhhIeHM3fuXAoKCjwFqhUrVtCyZUvCwsIIDAwkICCAVatWeQpQmZmZbNu2jdjY2PI8NE9+f3//cq9f1/n5+dW5/ZfpyOPXA/EAdAyPwG63n7a9BcsZ25jZDsBus1Xp46ju+6Ss7e7u0IXv9u5gV/oxliQlclXr8hfDz1VdfC3WRjqONd+ZjqFOvxMREZG6oFwFqMWLF1fInbdv354LL7yQF154gZdeeomgoCCmTp1KZmYmd911Fz4+PsyYMYNnn32W++67j02bNjF79mxeeOEFoHC4emxsLBMnTqR+/fpERUUxYcIEIiMjGTp0aIVkFCmL7/fuwFFQQKvgUBr6a/LxuizE1497u/TijbXLeXPtci5p0QZvr3K91YqIiIiIiNQa5fqvKCoqqkLu3GKx8PrrrzNp0iQef/xxsrKy6NWrFx9//DGNGzcGYMaMGYwfP55hw4bRoEEDxowZw7BhwzzbGDlyJPn5+Tz33HPk5eXRu3dvZs6cqbkUpEp98dfk41e36YCroMDkNGK22JjufLJtIwePZzI/bjOxHbubHUlERERERMRU5SpAvf3222ds88gjj5RpW4GBgYwbN45x48aVenuXLl2YN2/eKdf38vJi9OjRjB49ukz3J1LR4o4dYeuxFGxWK5e3jObr3ZrAvq7zt9t5qHs/Xli+mKkb/+S6tjEEePuYHUtERERERMQ0FV6ACggIoGHDhmUuQInUdF/uKhz9NKRZa0J8NVGwFLo+uiOzt6wjITON97es49Ee55kdSURERERExDTW8qwUFxdX4mvdunVMnz6d4OBg/vWvf1V0TpFqyVmQzzd74gC4vm2MyWmkOrFZrTze6wIAZm9Zy5GcbJMTiYiIiIiImKfCZsb19/enf//+PPzww7z22mt8+eWXFbVpkWpr8b49ZDjyiKwXwPlRzcnJd5kdSUxmAbKcDgD6NmpCx/CGbD2awlvrljO6zwBPO5vVip+tbFckFBGpjhwOh9kRag2Hw4HL5cLhcHiu/Fzb6PkiFUXPpfKrC+811ZUZ+746vlYq/NJMjRo1Ys+ePRW9WZFq6Yu/Tr+7tk0MXtZyDSiUWqbAbTBn23rP721Dwth6NIUvd27Dz8tGkI8vAHd06mFWRBGRcjMMw/Oz5t+U8ip8HlnMjiE1iN57RM7Nia8hM1XYf8yGYXDo0CGmT59eYVfJE6nODh3PZMXB/QAMa9vR5DRSXTUOCKJpYDBuDNYmHzI7joiIiIiIiCnKNQKqffv2WCylf2phGAavvfbaOYUSqQkW7tqGAfRp1ISmQcFmx5FqrFdkFIlZGexIPUrPiMaeUVAiIjXNif2/CRMm4OOjK3xWhJycHHbs2EG7du3w9/c3O06lcDgcnpErp/o/QuRU9N5TMerCe011Zca+r47vu+UqQD388MOlPoCAgAAGDRpEixYtzjWXSLXmNgzP1e+GR3cyOY1Ud43qBdI0MJjErAzWJh9icLNWZkcSETlnPj4++iewghQUFGC327VPRcpAr5Py03uNebTvC5WrAPXoo49WdA6RGmXVoUQOHc8i0Nubi5u3MTuO1AAnj4ISERERERGpS8o9CbnT6eSLL75g1apVZGZmEhoaSq9evRg2bFidruhJ3bBg5xYArmjVHl9bhc/lL7XQyaOgTrxa3qnoSnkiIiIiIlJblOs/58zMTO644w7i4uJo3LgxDRo0ID4+nm+//ZaPP/6YTz75hMDAwIrOKlItpDvyWLy/8EqPw6M1+biU3YmjoBIzM/hl/+mvGKor5YmIiIiISG1RrqvgTZo0iaSkJObMmcMvv/zCvHnz+OWXX5gzZw7Hjh3jjTfeqOicItXGd3vicBYU0K5+ODFhDc2OIzVI0SgoNwazt64zO46IiIiIiEiVKVcBavHixTz++OP06tWr2PJevXoxcuRI/ve//1VIOJHqJDffRZbTwec7Ck+/u7JVe467nGQ5HZ4vt2GYnFKqu16RUQB8v3cnmY48k9OIiIiIiIhUjXKdgpednU3Tpk1Lva1p06akp6efSyaRainf7WbSn8vYmXYUq8VCel4OH24pPoolNqa7SemkptAV8UREREREpC4q1wioVq1a8euvv5Z62+LFi2nevPk5hRKprranpgDQKjgUX00OLeXU+69RUDtSj55xInIREREREZHaoFwjoO69916eeOIJnE4nV199NeHh4Rw9epRvvvmGzz77jHHjxlVwTBHz5eW72Jl6DIAOmvtJzkFkvUB6RkSxNvkgG1IO079JC7MjiYiIiIiIVKpyFaCuuOIKEhISmDp1Kp999plnud1u5+GHH+amm26qsIAi1cUv+/fidBcQ5O1Dk4Ags+NIDXdnx+6sTT7ItmMp9IyIwt+uEXUiIiIiIlJ7lasAlZOTw0MPPURsbCwbNmwgIyODw4cPc9NNNxEcHFzRGUWqha92bQOgff0GWCwWk9NITdczIoqG/vVIyclm05Ek+jUufV49ERERERGR2uCs5oDavn071113HR988AEAQUFBDBgwgAEDBvD6669z6623smfPnsrIKWKqvempbDyShAXoENbA7DhSC1gsFnpGNAZgy9FkHPn5JicSERERERGpPGUuQCUmJnLXXXeRkZFBmzZtit3m7e3NP//5T7Kzs7n11ltJSkqq8KAiZlqwcwsAzYNCqGf3NjmN1BYtgkKp7+uH013AlmPJZscRERERERGpNGUuQL333nuEhoby5ZdfcskllxS7zc/Pj9jYWBYsWIC/vz9Tp06t8KAiZnEWFPDV7u0AxGjycalAFouFHg0LR0FtTEnC5S4wOZGIiIiIiEjlKHMBasWKFdx3332EhIScsk1YWBh33303K1asqIhsItXCr/v3kJaXSwO/ejQLCjE7jtQybULDCPL2Ia8gn23HjpgdR0REREREpFKUuQB15MgRmjdvfsZ20dHROgVPapXP/zr97srW7bBq8nGpYFaLhe4NGwGwIeUQBW63yYlEREREREQqXpkLUPXr1yclJeWM7VJTU087SkqkJjmYlcGKg/sBuKZNB5PTSG3Vrn4D/G12sl0udqQdNTuOiIiIiIhIhStzAap379588cUXZ2y3cOFCOnTQP+pSO3yxaxsGcF7jZjQOCDI7jtRSNquVbn+NglqffAi3YZicSEREREREpGKVuQB1++23s2rVKl599VUcDkeJ251OJ//5z39YtmwZt912W4WGFDFDvtvNlzu3AnBDdCeT00ht1zGsIT5eXmQ4HcRnpJodR0REREREpELZytqwc+fOPPPMM7z88st89dVXnHfeeTRp0oSCggIOHTrEqlWrSEtL47HHHqN///6VmVmkSvx+IIHknOOE+PgypHkrHAW6QplUHruXF53DI1mTfJB1yYdpFVzf7EgiIiIiIiIVpswFKIDbbruN9u3bM3PmTBYvXuwZCVWvXj0uvPBC7rnnHrp27VopQUWq2ry4TQBc2yYGby+bClBS6To3iGBDymGO5GZz4Him2XFEREREREQqzFkVoAB69uxJz549AUhLS8NqtRIcHFzhwUTMlJiZwbIDCQDc1KGLuWGkzvCz2ekQ1oDNR5NZn3zI7DgiIiIiIiIVpsxzQJUmNDRUxSeplebt2IQBXBDVnOZBIWbHkTqkW8NGWIADxzPZfuzMVx4VERERERGpCc6pACVSG+Xl5/PFX5OP39JBp5RK1Qr09qFtaBgAH21db3IaERERERGRiqEClMhJfojfQYYjj8YBgQxo0sLsOFIHdW/YGIBf9+8lISPN5DQiIiIiIiLnTgUokZN8ur1w8vG/teuCl1UvEal6YX7+NA8KwQDe37zW7DgiIiIiIiLnTP9di5xg85Ekth5Nxm71Ynh0R7PjSB3W469RUF/t3k5KznGT04iIiIiIiJwbFaBETvDp9o0AXN4ymvp+/iankbqsUUAgXRpE4nIX8KHmghIRERERkRpOBSip83LzXWQ5HSRmpvPD3p0AXNO2A1lOR7Evt2GYnFTqmjs6dgdgftxmMh15JqcREREREREpP5vZAUTMlu928+GWdaxPPoTTXUADP3/WHj7AuqSDxdrFxnQ3KaHUVedHNadtaBi70o4xL24TI7r2MTuSiIiIiIhIuWgElAjgNgy2HksBoFN4BBaLxeREImC1WLi3cy8APtq6gbz8fJMTiYiIiIiIlI8KUCLA/sx0Mp0OfLy8aBMaZnYcEY/LWkXTqF4gx/Jy+Gr3NrPjiIiIiIiIlIsKUCLAlqPJALSv3wC71cvkNCL/z2714u7OPQF4f/Na8t1ukxOJiIiIiIicPRWgpM47kJXB/qwMoPD0O5Hq5vrojoT6+pGYlcH/EnaZHUdEREREROSsqQAldd6XO7cC0CwwmGAfX5PTiJTkZ7NzW0w3AGZsWo2hKzKKiIiIiEgNY3oBKj09neeff54BAwbQo0cPbrnlFtasWeO5ffv27cTGxtKtWzcGDRrEzJkzi63vdrt588036d+/P127duWee+5h3759Vf0wpIbKy8/nmz1xgEY/SfV2S4eu+Nns7Eg9yh8H9R4nIiIiIiI1i+kFqCeeeIKNGzfy3//+l88//5yOHTty7733smfPHtLS0rj77rtp0aIFCxYs4NFHH+WNN95gwYIFnvWnTJnC3Llzeemll5g3bx4Wi4URI0bgdDpNfFRSU/ywdweZTgeBdm+aBYWYHUfklEJ8fLmxXScAZmxac4bWIiIiIiIi1YvNzDvft28ff/zxB59++ik9evQA4Nlnn2Xp0qV8++23+Pr64u3tzbhx47DZbLRu3Zp9+/Yxffp0hg8fjtPpZNasWYwePZqBAwcCMHnyZPr378+iRYu48sorzXx4UgN8GrcJgI7hEVgtFpPTiJzenZ168Mn2jaxOOsCmlMN0adjI7EgiIiIiIiJlYuoIqNDQUN577z06derkWWaxWDAMg4yMDNasWUPv3r2x2f6/TtavXz/i4+M5duwYcXFxZGdn069fP8/tQUFBxMTEsHr16ip9LFLzbDqSxNajyXhbvegQ1sDsOCJnFFkvkKtbtwdg5maNghIRERERkZrD1AJUUFAQAwcOxNvb27Pshx9+YP/+/Vx44YUkJSURGRlZbJ2GDRsCcOjQIZKSkgBo1KhRiTaHDx+u5PRS0326fSMAF7dojZ/NbnIakbK5u3MvLMDP+/awJz3V7DgiIiIiIiJlYuopeCdbu3Yt//znP7nooosYMmQIr7zySrHiFICPjw8ADoeD3NxcgFLbZGRklDuHYRjk5OSUe/26quh4FH2vztIdefy4dycAw9rE8OfB/Wdcx8DA5XKdc5vq3s6Vn1/se1Xdb3XeJ2a1c7vdJd6LGnn7MjCqBUsOJjB9/Uqe7zuoxHo16bUop6bjWPOV9RgahoFFp4GLiIhILVdtClA///wzTz75JF27duW///0vAL6+viUmE3c4HAD4+/vj6+sLgNPp9Pxc1MbPz6/cWVwuF9u3by/3+nVdQkKC2RHO6LuURJzuAlr4BdA6IJjvjh494zqGYXDkDO3K0qYmtIPCK1RW5f1W931iRjuHw8Hu3XtKLB/gF8wS4PuEXVzkG0J9b59S168Jr0U5Mx3Hmq8sx/DkD9NEREREaptqUYCaM2cO48ePZ+jQoUycONHTCYuMjCQlJaVY26LfIyIiyP9rhEZKSgrNmjUr1qZ9+/blzmO322nTpk2516+rcnNzSUhIoEWLFudUAKxsBW43T+/eAMDtnXvi6+tLg/DwM65nsVjO2K4sbap7u6KRTyEhIdhtp3+LqMj7rc77xKx2Pj4+dOjQocTyDsB3mSmsTTnMn+5cRnXoVuz2mvJalNPTcaz5ynoMd+/eXYWpRERERMxhegHqk08+4d///je33347//znP7Fa/39aqt69ezN37lwKCgrw8vICYMWKFbRs2ZKwsDACAwMJCAhg1apVngJUZmYm27ZtIzY2ttyZLBYL/v7+5/bA6jA/P79qvf9+S4znUHYWQd4+XNe+My53AXb7meeAsmA5Y7uytKkJ7QDsNluVPt7qvk/MaOdltVJwipn6bu/Ug7W/fMeXe7Zzb7c+RNYLLNGmur8WpWx0HGu+Mx1DnX4nIiIidYGpBaj4+Hhefvllhg4dyv3338+xY8c8t/n6+jJ8+HBmzJjBs88+y3333cemTZuYPXs2L7zwAlA4XD02NpaJEydSv359oqKimDBhApGRkQwdOtSshyXV3Ly4TQAMa9sRX5sNl7PA5EQipStwG8zZtr7U2wzDINzPn6O5OczZuoEn+/Sv4nQiIiIiIiJlZ2oB6qeffsLlcrFo0SIWLVpU7LZhw4bx6quvMmPGDMaPH8+wYcNo0KABY8aMYdiwYZ52I0eOJD8/n+eee468vDx69+7NzJkzNZeClOrw8SyWHUgA4Mb2ncwNI3IOLBYLvSKi+DFhF/PiNnFfl16E+Oo0LRERERERqZ5MLUA98MADPPDAA6dt06VLF+bNm3fK2728vBg9ejSjR4+u6HhSCy3YuQW3YdCnURNaBtc3O47IOWkZHOoZBfX+lrWM6nWh2ZFERERERERKdYrZRURqn3y3mwU7twDwt3adTU4jcu4sFgt9IpsA8PG2jRzLzTE5kYiIiIiISOlUgJI647fEvaTkZFPf14+Lmusqh1I7NA8KISasIbn5LmZtXmN2HBERERERkVKpACV1xvy4zQBc1zYG77+uqihS01ksFkZ07Q3Ap9s3ciQn2+REIiIiIiIiJakAJXXCwawM/ji4D4AbdPqd1DL9GjWlW8NGOAoKmLFptdlxRERERERESlABSmqt3HwXWU4HWU4HH2/fiAH0adSE+r5+nuVZTgduwzA7qsg5sVgsPNL9PADm79hMikZBiYiIiIhINWPqVfBEKlO+282HW9ZRYLg9p9+F+vjx4ZZ1xdrFxnQ3I55IherXuCk9I6JYm3yQD7av52r/MLMjiYiIiIiIeGgElNR6CRlp5Oa78LfZaREcYnYckUphsVh4pEc/AL7cE8dRZ57JiURERERERP6fClBS6209mgJA+7AGeFn0lJfaq0+jpvRt1JR8t5vPDyeYHUdERERERMRD/41LrZbhyOPA8UwAYuo3NDmNSOX7R+8LAViefoStx1JMTiMiIiIiIlJIBSip1bb99Q94s8Bggnx8TE4jUvk6hkdwRYu2ALyxYSWGJtkXEREREZFqQJOQS63lLCggLvUIAB3DNfpJai8LkOV0eH4f0bUPP+/fy/ojSXy7J45BzVoBYLNa8bPZTUopIrWBt7c3rVu39vwsIiIi1VN1/JutApTUWr8l7iU3P596djvNg0LNjiNSaQrcBnO2rff87nK5aOFXj53Zmbyycgnx6al4Wa3c0amHiSlFpDawWCyMHj3a87OIiIhUT9Xxb7ZOwZNa68td2wDoUL8h1mryghOpKm39g/Cz2chwOtiiuaBEpAJZLJZq05EVERGRU6tuf7NVgJJaKT4jlXXJh7AAHcIamB1HpMrZrVZ6NmgMwJqkg+Tl55ucSERERERE6jIVoKRW+ixuCwDNgkII9Nbk41I3tQsNI9TXD0dBPmuTD5odR0RERERE6jAVoKTWceTns3B34el3HcM0+bjUXVaLhfMbNwNg89Fk9memmxtIRERERETqLBWgpNb5X8IuMhx5RNYLoFlQiNlxREzVLDCYpoHBuA2D/67+HcMwzI4kIiIiIiJ1kApQUuvM37EZgGtad9Dk41LnWSwW+jdpgdViYeXhRP6XsNvsSCIiIiIiUgepACW1yu60Y6xLPoSXxcLVbTqYHUekWgjx8aVHw8IJyf+z6jeyXU6TE4mIiIiISF2jApTUKp/9NfppUNNWNPCvZ3IakeqjR0RjmgQEkZxznHfWrTQ7joiIiIiI1DEqQEmtkZefz9e7twNwY/vOJqcRqV5sVitP9L4QgDnb1rMj9YjJiUREREREpC5RAUpqjR/id5DpdBAVEMQFUc3NjiNS7Zwf1ZyhLdpQYBi8uPwX3JqQXEREREREqogKUFJrzN2+CYAb23XW5OMip/B034H42exsSDnMwl3bzI4jIiIiIiJ1hApQUitsOZrMlqPJ2K1eXB/d0ew4ItVWZL1AHuneD4BJq5eRlpdrciIREREREakLVICSWmHeX6OfLmnRhjA/f5PTiFRvt3XsRnRoOOmOPMav+NXsOCIiIiIiUgeoACU1XoYjj+/37gDg5g5dTU4jUv3ZrV681H8oXhYLP8TvZFHCbrMjiYiIiIhILacClNR4X+3eRl5BPtGh4XRv2MjsOCI1QsfwCO7t0huAfy//hXSdiiciIiIiIpVIBSip0QzDYN72zQDc3KELFk0+LnJKFiDL6fB8xcZ0o1VwKMfycnhh+WLP8tx8l9lRRURERESklrGZHUDkXKw6nEhCZhr17N5c1bq92XFEqrUCt8GcbeuLLesR0Zj4jDT+l7AbKxZahdTnjk49TEooIiIiIiK1lUZASY2Tm+/yjNT4aGvhP9OXtWyL2zCKje5wG4bJSUWqv4b+AXRv2BiA3w4kkKfRTyIiIiIiUgk0AkpqnHy3mw+3rOO408lvifEA2CxWPtyyrli72JjuZsQTqXF6R0YRn5lGWl4uyw7u4+/d+podSUREREREahmNgJIaa9uxFAygUb1Awvz8zY4jUmN5Wa0MadoKC7Ar7RiL9+0xO5KIiIiIiNQyKkBJjVRguNmemgJAp/AIk9OI1HwR9QLoEVF4Kt6rq5Zw6HimyYlERERERKQ2UQFKaqT49DSyXS78bDZaBYeaHUekVugVGUVD/3pkOZ08s/QnCtxusyOJiIiIiEgtoQKU1EgbjyQB0DEsAi+rnsYiFcHLYmVo8zb42+ysSTrI9E2rzY4kIiIiIiK1hP5zlxpny5EkknOOY7VYdPqdSAUL9vHlH70vBOCd9Sv583CiyYlERERERKQ2UAFKapy5cZsBiA4Nw99uNzmNSO1zRat2XNumA27DYPSSHziam212JBERERERqeFUgJIa5dDxTH7dX3iFri4NIk1OI1I7WSwWnjtvCK1D6nM0N4enlvxIvuaDEhERERGRc6AClNQon2zfSIFhEBUQRLhfPbPjiNRa/nY7k4dchZ/NxsrDiby+9g+zI4mIiIiISA2mApTUGFlOB5/9dfpdV41+Eql0rUPq89KFlwDw/ua1fLsnzuREIiIiIiJSU6kAJTXG3O2bOO5y0io4lOZBIWbHEakTLmsVzX1degHw/O+L2Ho02eREIiIiIiJSE1WrAtSUKVO4/fbbiy3bvn07sbGxdOvWjUGDBjFz5sxit7vdbt5880369+9P165dueeee9i3b19VxpYqkJefz0fb1gNwe8fuWCwWkxOJ1B0je5xP/yYtcBQU8PCirzl0PNPsSCIiIiIiUsNUmwLUBx98wJtvvllsWVpaGnfffTctWrRgwYIFPProo7zxxhssWLDA02bKlCnMnTuXl156iXnz5mGxWBgxYgROp7OqH4JUoq92b+NYbg6NAwIZ2qKN2XFE6hQvq5UJgy6nTUgYR3KzeWjRV2Q5HWbHEhERERGRGsT0AlRycjL33Xcfb7zxBi1btix22/z58/H29mbcuHG0bt2a4cOHc9dddzF9+nQAnE4ns2bN4tFHH2XgwIG0b9+eyZMnk5yczKJFi8x4OFIJ8t1u3t+8FoC7OvXEZvUyOZFI7WahcM61E78AJg6+nHA/f3alHeORn78mw5FnblAREREREakxTC9Abd26leDgYL7++mu6du1a7LY1a9bQu3dvbDabZ1m/fv2Ij4/n2LFjxMXFkZ2dTb9+/Ty3BwUFERMTw+rVq6vsMUjl+n7vDhKzMgj19eP66I5mxxGp9QrcBh9uWVfi63/xuxjctBU2q5U1SQd5ZulP5LvdZscVEREREZEawHbmJpVryJAhDBkypNTbkpKSiI6OLrasYcOGABw6dIikpCQAGjVqVKLN4cOHy53JMAxycnLKvX5dlZubW+x7Rch3u5mybgUAt7XrjOF04bZacLlcZ1zXwKjydmbcZ0W3c+XnF/teVfdbnfeJWe3Ku61THcOKyBZi9+aSpq34cf8efkuM55klPzC27yCsmpetwlXGe6pUrbIeQ8MwNLehiIiI1HqmF6BOJy8vD29v72LLfHx8AHA4HJ4OXWltMjIyyn2/LpeL7du3l3v9ui4hIaHCtrUsNZnE45kEetnoUmBj+/btNG3TmiNHj55xXcMwqrydGfdZGe0A0tPTq/R+q/s+qYnPp5OPYUVl8wZ6B4WxOvMY3yfsIjszk7ubtFURqpJU5HuqmKMsx/DkvoyIiIhIbVOtC1C+vr4lJhN3OArnIvH398fX1xconAuq6OeiNn5+fuW+X7vdTps2muj6bOXm5pKQkECLFi3Oaf8XyXe7eea7DQDc3akn3Tt0AsBltdAgPPyM61ssVd/OjPus6HZFo2ZCQkKw207/FqF9V7ntyrstV34+6enpJY5hRWZrAFwR3JUXVvzCb6nJ+AcG8nzfQdispp/ZXWtU9HuqVL2yHsPdu3dXYSoRERERc1TrAlRkZCQpKSnFlhX9HhERQf5f/yinpKTQrFmzYm3at29f7vu1WCz4+/uXe/26zs/Pr0L23xc7t3IwO4swX39u79ILf7sdKJwc2f7Xz6djwVLl7cy4z8poB2C32ar08Vb3fVITn08nH8OKfgyXtoom0MeHMUt+5Id9uymwWPjPwEvx9qrWf1pqnIp6TxXznOkY6vQ7ERERqQuq9UfVvXv3Zu3atRQUFHiWrVixgpYtWxIWFkb79u0JCAhg1apVntszMzPZtm0bvXr1MiOyVJC8/HzeWb8SgHtOKD6JSPVyactoJg+5EpvVyv8SdvH3nxaSqavjiYiIiIjISap1AWr48OEcP36cZ599lt27d/PFF18we/Zs7r//fqBwvoTY2FgmTpzI4sWLiYuLY9SoUURGRjJ06FCT08u5+HjbBpKys4isF8jN7buYHUdETmNI89ZMu+Q66tm9WZ10gDu+/4zDx7PMjiUiIiIiItVItS5AhYWFMWPGDOLj4xk2bBhvv/02Y8aMYdiwYZ42I0eO5IYbbuC5557jlltuwcvLi5kzZ2oyzxosPS+X6Zv+BGBkj/PwPcM8RCJivn6NmzH7ihsI9/NnV9ox/vb1J6w+fMDsWCIiIiIiUk1Uq//sX3311RLLunTpwrx58065jpeXF6NHj2b06NGVGU2qQG6+i3y3m7fXryTL6aRNSBgDm7Yky+ko1s5tGCYlFJETWaDY67NJYDDTL72ep377kZ1pR7n3xy94rOf53NKhC/52fSggIiIiIlKXVasClNRt+W43b61dzry4TQC0rx/Ox9s2lGgXG9O9ipOJSGkK3AZztq0vsXxg0xYYhsGu9GP8d83vxKUe4aULh+Kj0YwiIiIiInVWtT4FT+qePw7uw20YNAkMomlgsNlxRKQc7FYvLm7emvMbN8MCfL93B7d//xmHjmeaHU1EREREREyiApRUG8sP7iMhMx0rFi6MaqHLUovUYBaLhW4NG3FV6/YEefuw9WgyN3z1CcsS482OJiIiIiIiJlABSqoFZ0E+k9f8AUDnBhHU9/UzOZGIVISmgcHMvuIG2tdvQIYjjwcWfcVrfy4lLS+XLKej2FduvsvsuCIiIiIiUkk0IYdUC7O3rCMxKwN/m53ekVFmxxGRChThH8jAJi2wWS1sOZrC7C3rWJSwi0uatyk2OfkdnXqYmFJERERERCqTRkCJ6fZlpvPuhlUAnNe4Kd5eqouK1DZeVisDmrRkaPPW2KxWDh3PYv6OLRzM0rxQIiIiIiJ1gQpQYirDMHjxj8U4CgroHdmE6NBwsyOJSCVqGxrOjdGdqO/rR06+i6/3bGdt8kEMwzA7moiIiIiIVCIVoMRUC3dvY+XhRHy9bDzVd4AmHhepA0J9/RjetiPtQsMxgFWHD/Bd/E4yHHlmRxMRERERkUqiApSY5khONhP+XAbAQ9370SQw2OREIlJV7F5eDGnWikFNW+JlsbA/M507v/+MTSmHzY4mIiIiIiKVQAUoMYVhGIz942cyHHl0CGvAnZp8WKTOsVgsxIQ1ZHjbjgR7+5CUfZzbv/+Mz3ZsNjuaiIiIiIhUMBWgxBRf7NrKb4nx2K1evDLgUmxWPRVF6qpw/3rc0K4Tg5u1It/tZtwfi3ll5RLy3W6zo4mIiIiISAXRf/1S5Q5kZfDqyt8AeKzn+bTVxOMidZ6Pl42X+1/CIz3OA2DOtg08tOgrMjUvlIiIiIhIraAClFQpl7uAp377kZx8Fz0jorijY3ezI4lINWGxWHiwW1/+O/hKfL1s/HFwH7d+O499GWlmRxMRERERkXOkApRUqSnrVrIh5TABdm9eHnAJXjr1TkT+YgGynA7Oj2rGtEuvo6F/PeIz0rj5m7ks2b+XLKeDLKeD3HyX2VFFREREROQs2cwOIHXHioP7mb5pNQAvXnixrnonIsUUuA3mbFvv+f3yltH8GL+T5JxsHl38DYOatKR9WAPu0EULRERERERqHBWgpEqk5BznqaU/YgA3tuvEpS2jzY4kItVcPbs317aJYfH+PexJT+WXxL2kO/OI1am7IiI1mivfMDtCtXLi/tC+KZ32i0jtoAKUVLpMRx4jF3/LsdwcWofU5+Hu/chyOkq0cxv6wyIixdmsVi5p3oY/fQ6wNvkQ65IP8a/fF/HawMvxtelPmIhITfTuV6lmR6i2tG9EpDZT710q3aQ1v7P5SBLeVi/6NmrK/LjNpbaLjdGoBhEpyWKx0LdRU4K9fVlyIJ7F+/Zwzw+f89bF1xDm5292PBERERERKQMVoKRSLdy1jc93bAHg4uatCfHxNTmRiNRU7cMaEOjtw6+Je9l4JIlbvpnLlKHX0iY0zOxoIiJyBt7e3rz55ptmxygmJyeHHTt20K5dO/z99YFGVTqXfe/t7V1JqUSksqkAJZVmbdJBxv7xMwC9IqJoERxqciIRqemiAoOYfukwnlzyA4lZGcR+N49Jg6/kgqjmZkcTEZHTsFgs+Pj4mB2jmIKCAux2Oz4+PtUuW22nfS9SN1nNDiC1077MdEYu/oZ8t5vBzVrROzLK7EgiUks0Dw7l06tvpkdEY7KcTh7430Kmb1yNoXnkRERERESqLRWgpMKlO/J4eNFXpDvy6Bgewdjzh2CxWMyOJSK1SKivHzMvu57r23bEbRi8vvYPHlv8LcdLucCBiIiIiIiYTwUoqVB5BQWMWvoj8RlpRNYL4J2Lr8HXZjc7lojUIhYgy+nAUVDA6D79ebrvQOxWK4v37+HGrz5hY8phcvNdZscUEREREZETaA4oqTCuggLe2redLVlpBPv4Mu2SYTTwr0eWRiSISAUqcBvM2ba+2LJrWnfgp4Rd7M/K4I7vP+O58wZzY7vOJiUUEREREZGTaQSUVAiXu4DnVvzC5qw0fL1svKsrU4lIFYqoF8CN7TrRJCCIfLebcX8s5slfvyfDkWd2NBERERERQQUoqQAudwGjl/zALwfisVksvHbhULo2bGR2LBGpY/xsdq5q3Z7ekVF4WSz8EL+TYV/O4Zf9e8yOJiIiIiJS56kAJefEWZDPk7/+wKKE3ditVh5rEcN5jZqaHUtE6iirxULvyCa8d+kwmgeFkJxznEd//oYnfvmOlJzjZscTEREREamzVICScjuSc5z7fvyCn/cVFp9e6X8pV/XojctqIcvp8Hy5dWl0EaliHcMjWHDdbdzbuRdeFgs/Jeziis8/4J11K8h2Oc2OJyIiIiJS52gScimXlJzj3P/TQnamHcVutXJ5y2h2HE3m97itNAgPx27//yvfxcZ0NzGpiNRVfjY7T/S+kMtbRfPSil/ZkHKYKRtWMX/HZh7ufh7XR3fEZtXnMCIiIiIiVUE9bzlrG1MO87evPmVn2lH8bDauaxNDk8Bgs2OJiHhYwDMKs0lgMO8OvZaX+19Ck4Agjubm8MLyxVz35Ud8s2c7BW632XFFRERERGo9jYCSMjMMg893bmH8iiW43AW0DA7l/MbNCPbxNTuaiEgxBW6DOdvWl1h+Zat2bDmWwpqkg8RnpPH0bz/x7vpV3NO5F9e0aY+3l/4sioiIiIhUBo2AkjLJcOTxj1+/Z9wfi3G5C7ioWWtmXHa9ik8iUqN4Wa10bRBJbIeu9IqIIsjbh32Z6Yz942cumf8+szavIdORZ3ZMEREREZFaRx/1yhktS4xn3PLFJGUfx2ax8kiPftzbpbcm8hWRGsvHZqNPoya8NuhyfozfyYdb15GUfZxJq39nyvqVXNGqHTe170LH8Aizo4qIiIiI1AoqQMkpHcnJ5tVVS/gxfhcAzYNC+M/Ay+jcINLkZCIiFaOe3c710R25unV7fkrYxafbN7InPZUFO7eyYOdWYsIacn10Ry5t0Zb6fv5mxxURERERqbFUgJISsl1OZm9Zx6zNa8nNd2G1WLg9pjsP9+hHPbu32fFERCrMyXNFXdK8DUnhx9lyLJk96alsO5bCthUpTFq9jIubt+Gq1u3p17iZrp4nIiIiInKWVIASjxyXi/k7NvP+5jUczc0BoHN4BGMvuIgOYQ1NTiciUvksFguNAgJpFBDIBY1dxKUeYduxFDKdDr7ZE8c3e+II8/Pn8pbRXNy8Dd0iGmG3epkdW0RERESk2lMBSkjOPs7nOzbzyfaNpP81+W7TwGAe73kBl7Zsi8ViMTmhiEjV87fb6RHRmO4NG9EzMorF+/fyY/xOjuXmMGfbBuZs20CgtzcXRDVnQJOW9G/SQqfpiYiIiIicggpQdZTbMFh+cB/z4zazJHEvBYYBFBae7uzUg0tbtMXu5cXx00w07v5rHRGR2sxisdCpQSTnRTXnqb4DWH5wPz/u3cnSA/GkO/L4MX4XP8bvwgK0CqlPt4aN6NqwEV0bNKJVSH2sKuKLiIiIiKgAVdckZKTxQ/xOFu7cyoHjmZ7lvSOjuKl9F4a2aEtuvosPt6w747ZiY7pXZlQRkWrDAmQ5HQD0iGhMj4jGPOUewLZjKfxxcB/LD+5nZ9pR9qSneiYxBwj09qZtaDhtQ8NoHRJG29Aw2oSEEerrp9GlIiIiIlKnqABVByRmZvBj/E5+jN9JXOoRz/IAuzdXtm7HdW070jI4FIDcfJdGNomInOTkycpP5G+zc3Hz1pzfuBkx4Q3ZfDSZLUeS2HbsCFlOJ+uSD7Eu+VCxdQK9fWgeFEKL4FCaB4UUfv31c6C3T1U8JBERERGRKqUCVC2U73azMeUwyw4ksPRAPDtSj3pu87JYiQoIpE1oGK1D6mO3erEsMZ5lifGeNhrZJCJy9vztdi6MakFCRhrnNW5Gn0ZNSMvNJTUvl2N5OaTlFf6c6XSQ5XSw5WgyW44ml9hOqK8fzQKDaRIYTCNffw4n7qVtgwiaBYXgZ7Ob8MhERERERM5drShAud1u3n77bT777DMyMzPp2bMnY8eOpXnz5mZHqxKGYbA3I411yQdZdSiRPw7uI/OvU0UArBYLfRs15dKWbTmvcTO+2rXNxLQiInWDl8VKuH89wv3rFVvuchcwoElL5mzbQIYjj3RHnud7br6LtLxc0vJy2XgkqcQ2I+sF0Dyo+KipZkEhNA4IVHFKRERERKq1WlGAmjJlCnPnzuWVV14hIiKCCRMmMGLECL799lu8vb3NjlfhUnNz2Jl2jG3HklmXfIj1yYc8V68rEuTtQ7/GzTg/qhn9GjUlxNcP0MThIiJms1u9aB1SOAr1ZM6CfNIdDjIceaTmZFPfz49Dx7NIPJ5JptNBUvZxkrKPs+pwYol1Q339aFwvkEYBQTQOCKTxX98b+NWjvp8/9X398berSCUiIiIi5qjxBSin08msWbMYPXo0AwcOBGDy5Mn079+fRYsWceWVV5qc8OwZhkGG08Hh45kcPp7F4ews9memszvtGLvSjnEsL6fEOj5eNsL8/GhcL4hmQcE09A/AarGQkn2cr3dv97TT6XUiItWXt5eNhv42GvrXwxUQxK3tuxBg98bPz490Rx77MtPYl5FOQmY6+zPTSMhIJzErg2yX0zNyauuxlFNu389mI8zXn/p+/oT5+RPi40s9uzcB3j7Us9sJsHvjb/cmwO5NgLc39ez//+Vvt+PrZdPk6SIiIiJSLjW+ABUXF0d2djb9+vXzLAsKCiImJobVq1dXywLUxpTDrE85TMZfp11k/vW96BSM1LxccvNdp1zfAjQJDKZd/XC6Nyy8GlOTwGA+3b6x6h6EiIhUOl8fH1xAgcuJzWr9a+RUWLE2hmGQ6XQwc9NqspxOsv6aY+q4q/DnXJeLnHwXBYZBbn4+B45nFrsK6tmwAH42O/52O/52b/xsNvxt3n/9bi+8rdjtJ/7+18+2wtuKClpWiwWLxYL1ry8LFiwWsPL/yy1wxsLXmcpiKpyJiIiImMtiGDX7nKz//e9/PProo2zcuBFfX1/P8scee4y8vDymTZt2Vttbt24dhmFgr6TTFAwMDmcfpyy73Wqx4mW1YLNY8bJasVmt2P/6bimlq511wrxPpxLo7XPGdmVpU2o7A9zuAqxWr2L/CZR7ezWwXXXOVuZ2BgT6+JDlcJzxPzrtu8ptp9di+dtV52xlblcJr0V/u50Ct4Hb+OuLwu+GYWBg4DYKC1puDIxiP9forsI5s1gshPr44Wc7u8/tDMMgPz8fm+30I8dcLhcWi4UePXqca1RPP6Y8UxAYhoHL5cJut6tgV8W0782h/W4e7XtzaL+bpzbve6fTWeZ+TI0fAZWbmwtQoqPl4+NDRkbGWW+v6MlQWU8KCxaiAoIqZdvBPr5nblTGdhW5rbrWrjpnO6t2vtp31aFddc5W3dtV52xn1a6CX4t2a5maSQWwWCxlKgRZ/hoFVlH3eS7r1sa5M2sC7XtzaL+bR/veHNrv5qnN+/5s+jE1vgBVNOrJ6XQWGwHlcDjw8/M76+117645kkRERKRmUj9GREREqqsa/zloo0aNAEhJKT7pakpKCpGRkWZEEhERERERERGRE9T4AlT79u0JCAhg1apVnmWZmZls27aNXr16mZhMRERERERERESgFpyC5+3tTWxsLBMnTqR+/fpERUUxYcIEIiMjGTp0qNnxRERERERERETqvBpfgAIYOXIk+fn5PPfcc+Tl5dG7d29mzpxZayf5EhERERERERGpSSxGXb+2soiIiIiIiIiIVKoaPweUiIiIiIiIiIhUbypAiYiIiIiIiIhIpVIBSkREREREREREKpUKUCIiIiIiIiIiUqlUgBIRERERERERkUqlApSIiIiIiIiIiFQqFaDknEyZMoXbb7+92LLt27cTGxtLt27dGDRoEDNnzjQpnZRVacfxl19+Yfjw4XTv3p0hQ4bwn//8h7y8PJMSypmUdgxP9NxzzzFkyJAqTCTlUdpxTElJ4YknnqBXr1707duXf/zjH6SmppqUUMqitOO4efNmYmNj6d69OwMHDuS1117D6XSalPD/6e+4uU713h0fH0+3bt04cOCACalqP/V7zFHafv/uu++4+uqr6dKlCxdffDHvvfcehmGYlLD2Uj/RHKXt92eeeYZ27doV+xowYIBJCaueClBSbh988AFvvvlmsWVpaWncfffdtGjRggULFvDoo4/yxhtvsGDBApNSypmUdhzXrFnDI488wqWXXsrChQsZN24cP/zwAy+88IJJKeV0SjuGJ/r555/57LPPqjCRlEdpx9HpdHLPPfeQmJjI+++/z7Rp09i2bRtPPfWUSSnlTEo7jqmpqdx33320atWKhQsX8u9//5svv/ySyZMnm5SykP6Om+tU7907duzg7rvvJjc314RUtZ/6PeYobb//9ttvjBkzhptvvpnvvvuOMWPG8O677zJ79myTUtZO6iea43Tv8Q888AC///6752vhwoVVH9AkNrMDSM2TnJzMs88+y9q1a2nZsmWx2+bPn4+3tzfjxo3DZrPRunVr9u3bx/Tp0xk+fLhJiaU0pzuOc+fOpV+/fvz9738HoHnz5owaNYp//vOfvPDCC3h7e5sRWU5yumNYJCUlhX/961/06dOHgwcPVnFCKYvTHcdvv/2WgwcPsmjRIsLDwwE8r8Pjx48TEBBgRmQpxemO47p160hPT2fMmDEEBATQvHlzrrnmGn7//XdTion6O26u0+3/d999l6lTp9K6dWsOHz5sUsLaSf0ec5xuvx85coQRI0Zw2223AdC0aVO++uorli9fzl133WVC2tpF/URznG6/FxQUsHv3bh566CEaNGhgUkJzaQSUnLWtW7cSHBzM119/TdeuXYvdtmbNGnr37o3N9v+1zX79+hEfH8+xY8eqOqqcxumO4z333MOYMWNKrJOfn8/x48erKqKcwemOIYBhGDz99NNce+219OnTx4SEUhanO47Lli2jX79+nuITQP/+/fn5559VfKpmTnccQ0JCAPj0008pKCjgwIED/Pbbb6W+bquC/o6b60yv+QkTJmiUYyVQv8ccp9vvN9xwA48//jhQ+I/50qVL+fPPP7ngggtMSFr7qJ9ojtPt94SEBBwOB61btzYpnfk0AkrO2pAhQ055jnBSUhLR0dHFljVs2BCAQ4cOERYWVun5pGxOdxxjYmKK/e50Onn//ffp2LEj9evXr4p4UganO4ZQOPT3yJEjTJ06lWnTplVhMjkbpzuOCQkJ9Or1f+3df0jUdxzH8dedPxLLXEYl2DChZWW5Ls36w7iKoiizYtS2gmmNNVJiRr9rYU1GPyzMzNJ+Ym4iFGGt3Ua4PzKmHOUq/Gdmo+XAhoPlwjLL8/aHeODMfvr1u/OeD7g//Hh+7/VV/H7fvO9zn0+88vPzVVZWpra2NiUmJmrjxo0aPHhwHyfFi7zo7xgfH6/Vq1crNzdXOTk5crlcSkhI0I4dO/o4ZQfu4+Z60e+/pKREkuR0Ovsykk+g7jHHy2oVqePaMnv2bLlcLiUmJurjjz/uo3T9G3WiOV70e799+7YsFouKiopUUVEhq9Uqu92ujIwMhYSE9HFSczADCr3qyZMn3aYpDxgwQJLU2tpqRiS8pba2Nm3atEl37txRZmam2XHwin799VcdPnxY2dnZfHTAizU3N6usrEy1tbU6cOCAvvrqK1VXVystLY1FWr3Iw4cP9fvvv2vFihU6e/ascnNzVV9fr507d5odrRvu4/B11D19b/DgwTp37pxyc3NVW1v73Nlo6F3Uieaoq6uT1WpVRESECgoKtHnzZl25ckVpaWlqb283O16fYAYUelVQUFC3XX06C9bg4GAzIuEtNDc3KyMjQ06nU4cOHTLt4yJ4Pa2trdqwYYPWrFmjsWPHmh0HbyEgIEDBwcE6cOCAAgICJEmhoaFaunSpampqFBsba3JCvIr9+/fr4cOHysvLkyTFxMQoNDRUqampSklJ+V/9n3Ifhy+j7jHHoEGDNH78eI0fP17t7e1at26dNm7cqIiICLOj9UvUieZZu3atUlNTPbPYx4wZo2HDhunDDz9UTU2NT1xzmAGFXhUeHq7GxsYuY51fjxgxwoxIeEONjY1asWKFbty4oePHj7M1qxe5deuW6urqdPjwYdlsNtlsNhUWFqqhoUE2m00XL140OyJeUXh4uKKiojzNJ0l67733JInt2b1IdXW1Jk6c2GWss8i8e/euGZF6xH0cvoq6p+9dv35dNTU1XcY673H/vQ6h91AnmsdisXRbQqHzY+9//vmnGZH6HDOg0KumTJmi0tJSuVwu+fn5SZKqqqoUFRXFuhFe5J9//lFKSoqam5tVUlKi6OhosyPhNcTGxury5ctdxoqLi3X58mUVFxfzv+hF4uPjdebMGT158kRBQUGSOtYPkDp2aYJ3CA8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",
       "text/plain": [
        "<Figure size 1200x400 with 2 Axes>"
       ]
@@ -1675,7 +1686,7 @@
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1200x400 with 2 Axes>"
       ]
@@ -1685,7 +1696,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x400 with 2 Axes>"
       ]
@@ -1719,7 +1730,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 16,
    "id": "afedc9db",
    "metadata": {},
    "outputs": [
@@ -2012,7 +2023,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x400 with 1 Axes>"
       ]
@@ -2022,7 +2033,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x500 with 1 Axes>"
       ]
@@ -2085,6 +2096,202 @@
     "    print(\"-\", p.name)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "67232c0d",
+   "metadata": {},
+   "source": [
+    "Final Cleaned Transcript Panel"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "bd3d6741",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saved transcript panel\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>metric</th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>quarter</th>\n",
+       "      <th>Numeric Transeprency</th>\n",
+       "      <th>analyst_selectivity_ratio</th>\n",
+       "      <th>language_complexity</th>\n",
+       "      <th>net_positivity</th>\n",
+       "      <th>quarter_end</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>A</td>\n",
+       "      <td>CQ12014</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>64.71</td>\n",
+       "      <td>11.32</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>2014-03-31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>A</td>\n",
+       "      <td>CQ22014</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>50.00</td>\n",
+       "      <td>11.64</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>2014-06-30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>A</td>\n",
+       "      <td>CQ32014</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>78.57</td>\n",
+       "      <td>11.91</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>2014-09-30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>A</td>\n",
+       "      <td>CQ42014</td>\n",
+       "      <td>3.05</td>\n",
+       "      <td>64.29</td>\n",
+       "      <td>12.15</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>2014-12-31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>A</td>\n",
+       "      <td>CQ12015</td>\n",
+       "      <td>1.96</td>\n",
+       "      <td>75.00</td>\n",
+       "      <td>12.42</td>\n",
+       "      <td>0.93</td>\n",
+       "      <td>2015-03-31</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "metric ticker  quarter  Numeric Transeprency   analyst_selectivity_ratio  language_complexity  net_positivity quarter_end\n",
+       "0           A  CQ12014                   2.67                      64.71                11.32            0.25  2014-03-31\n",
+       "11          A  CQ22014                   1.90                      50.00                11.64            0.70  2014-06-30\n",
+       "22          A  CQ32014                   2.19                      78.57                11.91            0.97  2014-09-30\n",
+       "33          A  CQ42014                   3.05                      64.29                12.15            0.75  2014-12-31\n",
+       "1           A  CQ12015                   1.96                      75.00                12.42            0.93  2015-03-31"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from pathlib import Path\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "DATA_PATH = Path(\"../data/raw/Transcripts Machine Readable Data.csv\")\n",
+    "OUTPUT_DIR = Path(\"../data/processed\")\n",
+    "\n",
+    "OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n",
+    "\n",
+    "df = pd.read_csv(DATA_PATH)\n",
+    "\n",
+    "df.columns = df.columns.str.strip()\n",
+    "\n",
+    "df = df.loc[:, ~df.columns.str.contains(\"^Unnamed\")]\n",
+    "\n",
+    "df = df.rename(columns={\n",
+    "    \"Symbol\":\"ticker\",\n",
+    "    \"Company Name\":\"company_name\",\n",
+    "    \"Metrics\":\"metric\"\n",
+    "})\n",
+    "\n",
+    "quarter_cols = [c for c in df.columns if c.startswith(\"CQ\")]\n",
+    "\n",
+    "long_df = df.melt(\n",
+    "    id_vars=[\"ticker\",\"company_name\",\"metric\"],\n",
+    "    value_vars=quarter_cols,\n",
+    "    var_name=\"quarter\",\n",
+    "    value_name=\"value\"\n",
+    ")\n",
+    "\n",
+    "long_df[\"ticker\"] = long_df[\"ticker\"].str.upper().str.strip()\n",
+    "\n",
+    "long_df[\"value\"] = long_df[\"value\"].replace(\"#INVALID COMPANY ID\",np.nan)\n",
+    "\n",
+    "long_df[\"value\"] = pd.to_numeric(long_df[\"value\"], errors=\"coerce\")\n",
+    "\n",
+    "metric_map = {\n",
+    "    \"Net Positivity\":\"net_positivity\",\n",
+    "    \"Numeric Transeprency\":\"numeric_transparency\",\n",
+    "    \"Language Complexity\":\"language_complexity\",\n",
+    "    \"Analyst Selectivity Ratio\":\"analyst_selectivity_ratio\"\n",
+    "}\n",
+    "\n",
+    "long_df[\"metric\"] = long_df[\"metric\"].replace(metric_map)\n",
+    "\n",
+    "panel = long_df.pivot_table(\n",
+    "    index=[\"ticker\",\"quarter\"],\n",
+    "    columns=\"metric\",\n",
+    "    values=\"value\"\n",
+    ").reset_index()\n",
+    "\n",
+    "def quarter_to_date(q):\n",
+    "    q = q.replace(\"CQ\",\"\")\n",
+    "    quarter = int(q[0])\n",
+    "    year = int(q[1:])\n",
+    "\n",
+    "    month_map = {\n",
+    "        1:\"03-31\",\n",
+    "        2:\"06-30\",\n",
+    "        3:\"09-30\",\n",
+    "        4:\"12-31\"\n",
+    "    }\n",
+    "\n",
+    "    return pd.to_datetime(f\"{year}-{month_map[quarter]}\")\n",
+    "\n",
+    "panel[\"quarter_end\"] = panel[\"quarter\"].apply(quarter_to_date)\n",
+    "\n",
+    "panel = panel.sort_values([\"ticker\",\"quarter_end\"])\n",
+    "\n",
+    "panel.to_parquet(OUTPUT_DIR / \"transcript_quarter_panel.parquet\", index=False)\n",
+    "\n",
+    "print(\"Saved transcript panel\")\n",
+    "panel.head()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "37e4f5a2",
@@ -2103,7 +2310,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -2117,7 +2324,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/Merge_master_panel.ipynb b/notebooks/Merge_master_panel.ipynb
new file mode 100644
index 0000000..41a56a1
--- /dev/null
+++ b/notebooks/Merge_master_panel.ipynb
@@ -0,0 +1,1010 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "457fa930",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from pathlib import Path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c8d931a2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Project root: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\n",
+      "Processed folder: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\n",
+      "CRSP exists? True\n",
+      "Transcript exists? True\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Find project root\n",
+    "ROOT = Path.cwd()\n",
+    "\n",
+    "if ROOT.name == \"notebooks\":\n",
+    "    ROOT = ROOT.parent\n",
+    "\n",
+    "PROCESSED = ROOT / \"data\" / \"processed\"\n",
+    "\n",
+    "crsp_path = PROCESSED / \"clean_crsp.parquet\"\n",
+    "trans_path = PROCESSED / \"transcript_quarter_panel.parquet\"\n",
+    "\n",
+    "print(\"Project root:\", ROOT)\n",
+    "print(\"Processed folder:\", PROCESSED)\n",
+    "print(\"CRSP exists?\", crsp_path.exists())\n",
+    "print(\"Transcript exists?\", trans_path.exists())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "57cf57b4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CRSP shape: (493203, 21)\n",
+      "Transcript shape: (8120, 7)\n",
+      "\n",
+      "CRSP columns:\n",
+      "['permno', 'permco', 'ticker', 'cusip', 'issuernm', 'siccd', 'naics', 'dlyclose', 'dlyopen', 'dlyhigh', 'dlylow', 'dlyprc', 'dlyret', 'dlyretx', 'dlyvol', 'shrout', 'dlycap', 'sprtrn', 'vwretd', 'ewretd', 'date']\n",
+      "\n",
+      "Transcript columns:\n",
+      "['ticker', 'quarter', 'Numeric Transeprency ', 'analyst_selectivity_ratio', 'language_complexity', 'net_positivity', 'quarter_end']\n"
+     ]
+    }
+   ],
+   "source": [
+    "crsp = pd.read_parquet(crsp_path)\n",
+    "trans = pd.read_parquet(trans_path)\n",
+    "\n",
+    "print(\"CRSP shape:\", crsp.shape)\n",
+    "print(\"Transcript shape:\", trans.shape)\n",
+    "\n",
+    "print(\"\\nCRSP columns:\")\n",
+    "print(crsp.columns.tolist())\n",
+    "\n",
+    "print(\"\\nTranscript columns:\")\n",
+    "print(trans.columns.tolist())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "4d958c85",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "crsp[\"ticker\"] = crsp[\"ticker\"].astype(str).str.upper().str.strip()\n",
+    "trans[\"ticker\"] = trans[\"ticker\"].astype(str).str.upper().str.strip()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "481c4a7f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CRSP tickers: 185\n",
+      "Transcript tickers: 187\n",
+      "Common tickers: 180\n",
+      "Only in CRSP: 5\n",
+      "Only in Transcript: 7\n",
+      "\n",
+      "Examples only in CRSP: ['COR', 'CVX', 'EXPD', 'GOOG', 'SCHW']\n",
+      "Examples only in Transcript: ['ACN', 'AON', 'BF.B', 'EQR', 'ETN', 'IVZ', 'SLB']\n"
+     ]
+    }
+   ],
+   "source": [
+    "crsp_tickers = set(crsp[\"ticker\"].dropna().unique())\n",
+    "trans_tickers = set(trans[\"ticker\"].dropna().unique())\n",
+    "\n",
+    "common_tickers = sorted(crsp_tickers & trans_tickers)\n",
+    "only_crsp = sorted(crsp_tickers - trans_tickers)\n",
+    "only_trans = sorted(trans_tickers - crsp_tickers)\n",
+    "\n",
+    "print(\"CRSP tickers:\", len(crsp_tickers))\n",
+    "print(\"Transcript tickers:\", len(trans_tickers))\n",
+    "print(\"Common tickers:\", len(common_tickers))\n",
+    "print(\"Only in CRSP:\", len(only_crsp))\n",
+    "print(\"Only in Transcript:\", len(only_trans))\n",
+    "\n",
+    "print(\"\\nExamples only in CRSP:\", only_crsp[:10])\n",
+    "print(\"Examples only in Transcript:\", only_trans[:10])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "7f08538d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Filtered CRSP shape: (479783, 21)\n",
+      "Filtered Transcript shape: (7812, 7)\n"
+     ]
+    }
+   ],
+   "source": [
+    "crsp = crsp[crsp[\"ticker\"].isin(common_tickers)].copy()\n",
+    "trans = trans[trans[\"ticker\"].isin(common_tickers)].copy()\n",
+    "\n",
+    "print(\"Filtered CRSP shape:\", crsp.shape)\n",
+    "print(\"Filtered Transcript shape:\", trans.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "3c80ec3f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "  ticker       date\n",
+      "0      A 2014-01-02\n",
+      "1      A 2014-01-03\n",
+      "2      A 2014-01-06\n",
+      "3      A 2014-01-07\n",
+      "4      A 2014-01-08\n",
+      "  ticker  quarter quarter_end\n",
+      "0      A  CQ12014  2014-03-31\n",
+      "1      A  CQ22014  2014-06-30\n",
+      "2      A  CQ32014  2014-09-30\n",
+      "3      A  CQ42014  2014-12-31\n",
+      "4      A  CQ12015  2015-03-31\n"
+     ]
+    }
+   ],
+   "source": [
+    "crsp = crsp.sort_values([\"ticker\", \"date\"]).reset_index(drop=True)\n",
+    "trans = trans.sort_values([\"ticker\", \"quarter_end\"]).reset_index(drop=True)\n",
+    "\n",
+    "print(crsp[[\"ticker\", \"date\"]].head())\n",
+    "print(trans[[\"ticker\", \"quarter\", \"quarter_end\"]].head())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "b4d8935c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Master panel shape: (479783, 27)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>permno</th>\n",
+       "      <th>permco</th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>cusip</th>\n",
+       "      <th>issuernm</th>\n",
+       "      <th>siccd</th>\n",
+       "      <th>naics</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>dlyopen</th>\n",
+       "      <th>dlyhigh</th>\n",
+       "      <th>...</th>\n",
+       "      <th>sprtrn</th>\n",
+       "      <th>vwretd</th>\n",
+       "      <th>ewretd</th>\n",
+       "      <th>date</th>\n",
+       "      <th>quarter</th>\n",
+       "      <th>Numeric Transeprency</th>\n",
+       "      <th>analyst_selectivity_ratio</th>\n",
+       "      <th>language_complexity</th>\n",
+       "      <th>net_positivity</th>\n",
+       "      <th>quarter_end</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.21</td>\n",
+       "      <td>57.10</td>\n",
+       "      <td>57.100</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.008862</td>\n",
+       "      <td>-0.008757</td>\n",
+       "      <td>-0.004051</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.92</td>\n",
+       "      <td>56.39</td>\n",
+       "      <td>57.345</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000333</td>\n",
+       "      <td>0.000491</td>\n",
+       "      <td>0.004096</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.64</td>\n",
+       "      <td>57.40</td>\n",
+       "      <td>57.700</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.002512</td>\n",
+       "      <td>-0.003340</td>\n",
+       "      <td>-0.001676</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>57.45</td>\n",
+       "      <td>56.95</td>\n",
+       "      <td>57.630</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.006082</td>\n",
+       "      <td>0.006090</td>\n",
+       "      <td>0.006892</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>58.39</td>\n",
+       "      <td>57.33</td>\n",
+       "      <td>58.540</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000212</td>\n",
+       "      <td>0.000155</td>\n",
+       "      <td>0.000835</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 27 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   permno  permco ticker     cusip                  issuernm  siccd   naics  \\\n",
+       "0   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "1   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "2   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "3   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "4   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "\n",
+       "   dlyclose  dlyopen  dlyhigh  ...    sprtrn    vwretd    ewretd       date  \\\n",
+       "0     56.21    57.10   57.100  ... -0.008862 -0.008757 -0.004051 2014-01-02   \n",
+       "1     56.92    56.39   57.345  ... -0.000333  0.000491  0.004096 2014-01-03   \n",
+       "2     56.64    57.40   57.700  ... -0.002512 -0.003340 -0.001676 2014-01-06   \n",
+       "3     57.45    56.95   57.630  ...  0.006082  0.006090  0.006892 2014-01-07   \n",
+       "4     58.39    57.33   58.540  ... -0.000212  0.000155  0.000835 2014-01-08   \n",
+       "\n",
+       "   quarter  Numeric Transeprency   analyst_selectivity_ratio  \\\n",
+       "0      NaN                    NaN                        NaN   \n",
+       "1      NaN                    NaN                        NaN   \n",
+       "2      NaN                    NaN                        NaN   \n",
+       "3      NaN                    NaN                        NaN   \n",
+       "4      NaN                    NaN                        NaN   \n",
+       "\n",
+       "   language_complexity  net_positivity  quarter_end  \n",
+       "0                  NaN             NaN          NaT  \n",
+       "1                  NaN             NaN          NaT  \n",
+       "2                  NaN             NaN          NaT  \n",
+       "3                  NaN             NaN          NaT  \n",
+       "4                  NaN             NaN          NaT  \n",
+       "\n",
+       "[5 rows x 27 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Merge ticker by ticker (safer than one global merge_asof)\n",
+    "\n",
+    "# Make sure date columns are proper datetime\n",
+    "crsp[\"date\"] = pd.to_datetime(crsp[\"date\"], errors=\"coerce\")\n",
+    "trans[\"quarter_end\"] = pd.to_datetime(trans[\"quarter_end\"], errors=\"coerce\")\n",
+    "\n",
+    "# Drop bad rows\n",
+    "crsp = crsp.dropna(subset=[\"ticker\", \"date\"]).copy()\n",
+    "trans = trans.dropna(subset=[\"ticker\", \"quarter_end\"]).copy()\n",
+    "\n",
+    "merged_parts = []\n",
+    "\n",
+    "for ticker in common_tickers:\n",
+    "    crsp_t = crsp[crsp[\"ticker\"] == ticker].copy()\n",
+    "    trans_t = trans[trans[\"ticker\"] == ticker].copy()\n",
+    "\n",
+    "    # sort within each ticker\n",
+    "    crsp_t = crsp_t.sort_values(\"date\").reset_index(drop=True)\n",
+    "    trans_t = trans_t.sort_values(\"quarter_end\").reset_index(drop=True)\n",
+    "\n",
+    "    # skip if either side is empty\n",
+    "    if crsp_t.empty or trans_t.empty:\n",
+    "        continue\n",
+    "\n",
+    "    merged_t = pd.merge_asof(\n",
+    "        crsp_t,\n",
+    "        trans_t,\n",
+    "        left_on=\"date\",\n",
+    "        right_on=\"quarter_end\",\n",
+    "        direction=\"backward\",\n",
+    "        allow_exact_matches=True\n",
+    "    )\n",
+    "\n",
+    "    merged_parts.append(merged_t)\n",
+    "\n",
+    "# combine all tickers\n",
+    "master_panel = pd.concat(merged_parts, ignore_index=True)\n",
+    "\n",
+    "# clean duplicate ticker columns created by merge\n",
+    "if \"ticker_x\" in master_panel.columns:\n",
+    "    master_panel = master_panel.rename(columns={\"ticker_x\": \"ticker\"})\n",
+    "if \"ticker_y\" in master_panel.columns:\n",
+    "    master_panel = master_panel.drop(columns=[\"ticker_y\"])\n",
+    "\n",
+    "# final sort\n",
+    "master_panel = master_panel.sort_values([\"ticker\", \"date\"]).reset_index(drop=True)\n",
+    "\n",
+    "print(\"Master panel shape:\", master_panel.shape)\n",
+    "master_panel.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "0e49893f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['permno', 'permco', 'ticker', 'cusip', 'issuernm', 'siccd', 'naics', 'dlyclose', 'dlyopen', 'dlyhigh', 'dlylow', 'dlyprc', 'dlyret', 'dlyretx', 'dlyvol', 'shrout', 'dlycap', 'sprtrn', 'vwretd', 'ewretd', 'date', 'quarter', 'Numeric Transeprency ', 'analyst_selectivity_ratio', 'language_complexity', 'net_positivity', 'quarter_end']\n",
+      "0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(master_panel.columns.tolist())\n",
+    "print(master_panel.duplicated(subset=[\"ticker\", \"date\"]).sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "4f216e95",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Duplicate ticker-date rows: 0\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>quarter</th>\n",
+       "      <th>quarter_end</th>\n",
+       "      <th>net_positivity</th>\n",
+       "      <th>language_complexity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-09</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-10</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-13</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-14</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  ticker       date quarter quarter_end  net_positivity  language_complexity\n",
+       "0      A 2014-01-02     NaN         NaT             NaN                  NaN\n",
+       "1      A 2014-01-03     NaN         NaT             NaN                  NaN\n",
+       "2      A 2014-01-06     NaN         NaT             NaN                  NaN\n",
+       "3      A 2014-01-07     NaN         NaT             NaN                  NaN\n",
+       "4      A 2014-01-08     NaN         NaT             NaN                  NaN\n",
+       "5      A 2014-01-09     NaN         NaT             NaN                  NaN\n",
+       "6      A 2014-01-10     NaN         NaT             NaN                  NaN\n",
+       "7      A 2014-01-13     NaN         NaT             NaN                  NaN\n",
+       "8      A 2014-01-14     NaN         NaT             NaN                  NaN\n",
+       "9      A 2014-01-15     NaN         NaT             NaN                  NaN"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "print(\"Duplicate ticker-date rows:\", master_panel.duplicated(subset=[\"ticker\", \"date\"]).sum())\n",
+    "\n",
+    "check_cols = [\n",
+    "    \"ticker\", \"date\", \"quarter\", \"quarter_end\",\n",
+    "    \"net_positivity\", \"language_complexity\"\n",
+    "]\n",
+    "\n",
+    "available_check_cols = [c for c in check_cols if c in master_panel.columns]\n",
+    "master_panel[available_check_cols].head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "571634eb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>quarter</th>\n",
+       "      <th>quarter_end</th>\n",
+       "      <th>net_positivity</th>\n",
+       "      <th>language_complexity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>5516</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-03</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5517</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-04</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5518</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-05</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5519</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-06</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5520</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-09</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5521</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-10</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5522</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-11</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5523</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-12</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5524</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-13</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5525</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-16</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5526</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-17</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5527</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-18</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5528</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-19</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5529</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-20</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5530</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-23</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5531</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-24</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5532</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-26</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5533</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-27</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5534</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-30</td>\n",
+       "      <td>CQ32024</td>\n",
+       "      <td>2024-09-30</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>12.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5535</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>CQ42024</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>11.83</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     ticker       date  quarter quarter_end  net_positivity  \\\n",
+       "5516   AAPL 2024-12-03  CQ32024  2024-09-30            1.57   \n",
+       "5517   AAPL 2024-12-04  CQ32024  2024-09-30            1.57   \n",
+       "5518   AAPL 2024-12-05  CQ32024  2024-09-30            1.57   \n",
+       "5519   AAPL 2024-12-06  CQ32024  2024-09-30            1.57   \n",
+       "5520   AAPL 2024-12-09  CQ32024  2024-09-30            1.57   \n",
+       "5521   AAPL 2024-12-10  CQ32024  2024-09-30            1.57   \n",
+       "5522   AAPL 2024-12-11  CQ32024  2024-09-30            1.57   \n",
+       "5523   AAPL 2024-12-12  CQ32024  2024-09-30            1.57   \n",
+       "5524   AAPL 2024-12-13  CQ32024  2024-09-30            1.57   \n",
+       "5525   AAPL 2024-12-16  CQ32024  2024-09-30            1.57   \n",
+       "5526   AAPL 2024-12-17  CQ32024  2024-09-30            1.57   \n",
+       "5527   AAPL 2024-12-18  CQ32024  2024-09-30            1.57   \n",
+       "5528   AAPL 2024-12-19  CQ32024  2024-09-30            1.57   \n",
+       "5529   AAPL 2024-12-20  CQ32024  2024-09-30            1.57   \n",
+       "5530   AAPL 2024-12-23  CQ32024  2024-09-30            1.57   \n",
+       "5531   AAPL 2024-12-24  CQ32024  2024-09-30            1.57   \n",
+       "5532   AAPL 2024-12-26  CQ32024  2024-09-30            1.57   \n",
+       "5533   AAPL 2024-12-27  CQ32024  2024-09-30            1.57   \n",
+       "5534   AAPL 2024-12-30  CQ32024  2024-09-30            1.57   \n",
+       "5535   AAPL 2024-12-31  CQ42024  2024-12-31            1.46   \n",
+       "\n",
+       "      language_complexity  \n",
+       "5516                12.04  \n",
+       "5517                12.04  \n",
+       "5518                12.04  \n",
+       "5519                12.04  \n",
+       "5520                12.04  \n",
+       "5521                12.04  \n",
+       "5522                12.04  \n",
+       "5523                12.04  \n",
+       "5524                12.04  \n",
+       "5525                12.04  \n",
+       "5526                12.04  \n",
+       "5527                12.04  \n",
+       "5528                12.04  \n",
+       "5529                12.04  \n",
+       "5530                12.04  \n",
+       "5531                12.04  \n",
+       "5532                12.04  \n",
+       "5533                12.04  \n",
+       "5534                12.04  \n",
+       "5535                11.83  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sample_ticker = \"AAPL\"\n",
+    "\n",
+    "sample = master_panel[master_panel[\"ticker\"] == sample_ticker][\n",
+    "    [\"ticker\", \"date\", \"quarter\", \"quarter_end\",\n",
+    "     \"net_positivity\", \"language_complexity\"]\n",
+    "].tail(20)\n",
+    "\n",
+    "sample"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "c38aeab5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Master panel saved to: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\\master_panel.parquet\n",
+      "Saved master panel to:\n",
+      "c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\\master_panel.parquet\n"
+     ]
+    }
+   ],
+   "source": [
+    "output_path = PROCESSED / \"master_panel.parquet\"\n",
+    "master_panel.to_parquet(output_path, index=False)\n",
+    "\n",
+    "print(\"Master panel saved to:\", output_path)\n",
+    "\n",
+    "print(\"Saved master panel to:\")\n",
+    "print(output_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "c621a6e1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saved cleaned master panel to: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\\master_panel.parquet\n",
+      "['permno', 'permco', 'ticker', 'cusip', 'issuernm', 'siccd', 'naics', 'dlyclose', 'dlyopen', 'dlyhigh', 'dlylow', 'dlyprc', 'dlyret', 'dlyretx', 'dlyvol', 'shrout', 'dlycap', 'sprtrn', 'vwretd', 'ewretd', 'date', 'quarter', 'numeric_transparency', 'analyst_selectivity_ratio', 'language_complexity', 'net_positivity', 'quarter_end']\n"
+     ]
+    }
+   ],
+   "source": [
+    "master_panel = master_panel.rename(columns={\n",
+    "    \"Numeric Transeprency \": \"numeric_transparency\",\n",
+    "    \"Numeric Transeprency\": \"numeric_transparency\"\n",
+    "})\n",
+    "\n",
+    "master_panel = master_panel.sort_values([\"ticker\", \"date\"]).reset_index(drop=True)\n",
+    "\n",
+    "output_path = PROCESSED / \"master_panel.parquet\"\n",
+    "master_panel.to_parquet(output_path, index=False)\n",
+    "\n",
+    "print(\"Saved cleaned master panel to:\", output_path)\n",
+    "print(master_panel.columns.tolist())"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/dasb_summary_tables.ipynb b/notebooks/dasb_summary_tables.ipynb
new file mode 100644
index 0000000..e3fbb8f
--- /dev/null
+++ b/notebooks/dasb_summary_tables.ipynb
@@ -0,0 +1,1905 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d14e280a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from pathlib import Path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d395b7c0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Features file exists? True\n",
+      "Shape: (479783, 41)\n",
+      "\n",
+      "Columns:\n",
+      "['permno', 'permco', 'ticker', 'cusip', 'issuernm', 'siccd', 'naics', 'dlyclose', 'dlyopen', 'dlyhigh', 'dlylow', 'dlyprc', 'dlyret', 'dlyretx', 'dlyvol', 'shrout', 'dlycap', 'sprtrn', 'vwretd', 'ewretd', 'date', 'quarter', 'numeric_transparency', 'analyst_selectivity_ratio', 'language_complexity', 'net_positivity', 'quarter_end', 'ret_5d', 'ret_20d', 'ret_60d', 'vol_20d', 'vol_60d', 'avg_volume_20d', 'relative_volume', 'positivity_delta', 'transparency_delta', 'complexity_delta', 'selectivity_delta', 'credibility_score', 'risk_score', 'misalignment_score']\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>permno</th>\n",
+       "      <th>permco</th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>cusip</th>\n",
+       "      <th>issuernm</th>\n",
+       "      <th>siccd</th>\n",
+       "      <th>naics</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>dlyopen</th>\n",
+       "      <th>dlyhigh</th>\n",
+       "      <th>...</th>\n",
+       "      <th>vol_60d</th>\n",
+       "      <th>avg_volume_20d</th>\n",
+       "      <th>relative_volume</th>\n",
+       "      <th>positivity_delta</th>\n",
+       "      <th>transparency_delta</th>\n",
+       "      <th>complexity_delta</th>\n",
+       "      <th>selectivity_delta</th>\n",
+       "      <th>credibility_score</th>\n",
+       "      <th>risk_score</th>\n",
+       "      <th>misalignment_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.21</td>\n",
+       "      <td>57.10</td>\n",
+       "      <td>57.100</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.92</td>\n",
+       "      <td>56.39</td>\n",
+       "      <td>57.345</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.64</td>\n",
+       "      <td>57.40</td>\n",
+       "      <td>57.700</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>57.45</td>\n",
+       "      <td>56.95</td>\n",
+       "      <td>57.630</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>58.39</td>\n",
+       "      <td>57.33</td>\n",
+       "      <td>58.540</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 41 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   permno  permco ticker     cusip                  issuernm  siccd   naics  \\\n",
+       "0   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "1   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "2   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "3   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "4   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "\n",
+       "   dlyclose  dlyopen  dlyhigh  ...  vol_60d  avg_volume_20d  relative_volume  \\\n",
+       "0     56.21    57.10   57.100  ...      NaN             NaN              NaN   \n",
+       "1     56.92    56.39   57.345  ...      NaN             NaN              NaN   \n",
+       "2     56.64    57.40   57.700  ...      NaN             NaN              NaN   \n",
+       "3     57.45    56.95   57.630  ...      NaN             NaN              NaN   \n",
+       "4     58.39    57.33   58.540  ...      NaN             NaN              NaN   \n",
+       "\n",
+       "   positivity_delta  transparency_delta  complexity_delta  selectivity_delta  \\\n",
+       "0               NaN                 NaN               NaN                NaN   \n",
+       "1               NaN                 NaN               NaN                NaN   \n",
+       "2               NaN                 NaN               NaN                NaN   \n",
+       "3               NaN                 NaN               NaN                NaN   \n",
+       "4               NaN                 NaN               NaN                NaN   \n",
+       "\n",
+       "   credibility_score  risk_score  misalignment_score  \n",
+       "0                NaN         0.0                 NaN  \n",
+       "1                NaN         0.0                 NaN  \n",
+       "2                NaN         0.0                 NaN  \n",
+       "3                NaN         0.0                 NaN  \n",
+       "4                NaN         0.0                 NaN  \n",
+       "\n",
+       "[5 rows x 41 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Find project root\n",
+    "ROOT = Path.cwd()\n",
+    "if ROOT.name == \"notebooks\":\n",
+    "    ROOT = ROOT.parent\n",
+    "\n",
+    "PROCESSED = ROOT / \"data\" / \"processed\"\n",
+    "features_path = PROCESSED / \"master_panel_features.parquet\"\n",
+    "\n",
+    "print(\"Features file exists?\", features_path.exists())\n",
+    "\n",
+    "df = pd.read_parquet(features_path)\n",
+    "\n",
+    "print(\"Shape:\", df.shape)\n",
+    "print(\"\\nColumns:\")\n",
+    "print(df.columns.tolist())\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c7e8bb38",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(479783, 41)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  ticker       date\n",
+       "0      A 2014-01-02\n",
+       "1      A 2014-01-03\n",
+       "2      A 2014-01-06\n",
+       "3      A 2014-01-07\n",
+       "4      A 2014-01-08"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"ticker\"] = df[\"ticker\"].astype(str).str.upper().str.strip()\n",
+    "df[\"date\"] = pd.to_datetime(df[\"date\"], errors=\"coerce\")\n",
+    "\n",
+    "df = df.dropna(subset=[\"ticker\", \"date\"]).copy()\n",
+    "df = df.sort_values([\"ticker\", \"date\"]).reset_index(drop=True)\n",
+    "\n",
+    "print(df.shape)\n",
+    "df[[\"ticker\", \"date\"]].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7e8ae2e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Latest snapshot shape: (180, 41)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>ret_20d</th>\n",
+       "      <th>vol_20d</th>\n",
+       "      <th>credibility_score</th>\n",
+       "      <th>risk_score</th>\n",
+       "      <th>misalignment_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2767</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>134.34</td>\n",
+       "      <td>-0.037541</td>\n",
+       "      <td>0.012083</td>\n",
+       "      <td>-1.116</td>\n",
+       "      <td>5.740853</td>\n",
+       "      <td>1.137541</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5535</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>250.42</td>\n",
+       "      <td>0.045202</td>\n",
+       "      <td>0.010385</td>\n",
+       "      <td>-0.918</td>\n",
+       "      <td>5.902784</td>\n",
+       "      <td>1.414798</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8303</th>\n",
+       "      <td>ABBV</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>177.70</td>\n",
+       "      <td>-0.022391</td>\n",
+       "      <td>0.012264</td>\n",
+       "      <td>-1.052</td>\n",
+       "      <td>6.413460</td>\n",
+       "      <td>1.632391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11071</th>\n",
+       "      <td>ABT</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>113.11</td>\n",
+       "      <td>-0.031675</td>\n",
+       "      <td>0.007710</td>\n",
+       "      <td>-1.086</td>\n",
+       "      <td>5.758547</td>\n",
+       "      <td>1.421675</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13839</th>\n",
+       "      <td>ADBE</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>444.68</td>\n",
+       "      <td>-0.138551</td>\n",
+       "      <td>0.034389</td>\n",
+       "      <td>-0.946</td>\n",
+       "      <td>7.848664</td>\n",
+       "      <td>2.908551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16607</th>\n",
+       "      <td>ADI</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>212.46</td>\n",
+       "      <td>-0.047777</td>\n",
+       "      <td>0.013245</td>\n",
+       "      <td>-1.044</td>\n",
+       "      <td>6.487133</td>\n",
+       "      <td>1.187777</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19375</th>\n",
+       "      <td>ADM</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>50.52</td>\n",
+       "      <td>-0.069099</td>\n",
+       "      <td>0.014137</td>\n",
+       "      <td>-1.516</td>\n",
+       "      <td>6.248687</td>\n",
+       "      <td>0.889099</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22143</th>\n",
+       "      <td>ADP</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>292.73</td>\n",
+       "      <td>-0.043460</td>\n",
+       "      <td>0.010057</td>\n",
+       "      <td>-0.898</td>\n",
+       "      <td>5.526786</td>\n",
+       "      <td>2.113460</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24911</th>\n",
+       "      <td>ADSK</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>295.57</td>\n",
+       "      <td>-0.003641</td>\n",
+       "      <td>0.012254</td>\n",
+       "      <td>-1.294</td>\n",
+       "      <td>6.629075</td>\n",
+       "      <td>1.593641</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27679</th>\n",
+       "      <td>AEE</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>89.14</td>\n",
+       "      <td>-0.040267</td>\n",
+       "      <td>0.008990</td>\n",
+       "      <td>-1.092</td>\n",
+       "      <td>7.259124</td>\n",
+       "      <td>1.540267</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      ticker       date  dlyclose   ret_20d   vol_20d  credibility_score  \\\n",
+       "2767       A 2024-12-31    134.34 -0.037541  0.012083             -1.116   \n",
+       "5535    AAPL 2024-12-31    250.42  0.045202  0.010385             -0.918   \n",
+       "8303    ABBV 2024-12-31    177.70 -0.022391  0.012264             -1.052   \n",
+       "11071    ABT 2024-12-31    113.11 -0.031675  0.007710             -1.086   \n",
+       "13839   ADBE 2024-12-31    444.68 -0.138551  0.034389             -0.946   \n",
+       "16607    ADI 2024-12-31    212.46 -0.047777  0.013245             -1.044   \n",
+       "19375    ADM 2024-12-31     50.52 -0.069099  0.014137             -1.516   \n",
+       "22143    ADP 2024-12-31    292.73 -0.043460  0.010057             -0.898   \n",
+       "24911   ADSK 2024-12-31    295.57 -0.003641  0.012254             -1.294   \n",
+       "27679    AEE 2024-12-31     89.14 -0.040267  0.008990             -1.092   \n",
+       "\n",
+       "       risk_score  misalignment_score  \n",
+       "2767     5.740853            1.137541  \n",
+       "5535     5.902784            1.414798  \n",
+       "8303     6.413460            1.632391  \n",
+       "11071    5.758547            1.421675  \n",
+       "13839    7.848664            2.908551  \n",
+       "16607    6.487133            1.187777  \n",
+       "19375    6.248687            0.889099  \n",
+       "22143    5.526786            2.113460  \n",
+       "24911    6.629075            1.593641  \n",
+       "27679    7.259124            1.540267  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "latest_snapshot = (\n",
+    "    df.sort_values([\"ticker\", \"date\"])\n",
+    "      .groupby(\"ticker\", as_index=False)\n",
+    "      .tail(1)\n",
+    "      .copy()\n",
+    ")\n",
+    "\n",
+    "print(\"Latest snapshot shape:\", latest_snapshot.shape)\n",
+    "\n",
+    "latest_snapshot[\n",
+    "    [\n",
+    "        \"ticker\",\n",
+    "        \"date\",\n",
+    "        \"dlyclose\",\n",
+    "        \"ret_20d\",\n",
+    "        \"vol_20d\",\n",
+    "        \"credibility_score\",\n",
+    "        \"risk_score\",\n",
+    "        \"misalignment_score\",\n",
+    "    ]\n",
+    "].head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "711a2227",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saved: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\\latest_company_snapshot.parquet\n"
+     ]
+    }
+   ],
+   "source": [
+    "latest_snapshot_path = PROCESSED / \"latest_company_snapshot.parquet\"\n",
+    "latest_snapshot.to_parquet(latest_snapshot_path, index=False)\n",
+    "\n",
+    "print(\"Saved:\", latest_snapshot_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "fd8454fe",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>ret_5d</th>\n",
+       "      <th>ret_20d</th>\n",
+       "      <th>vol_20d</th>\n",
+       "      <th>relative_volume</th>\n",
+       "      <th>risk_score</th>\n",
+       "      <th>credibility_score</th>\n",
+       "      <th>misalignment_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ADBE</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>444.68</td>\n",
+       "      <td>-0.004611</td>\n",
+       "      <td>-0.138551</td>\n",
+       "      <td>0.034389</td>\n",
+       "      <td>0.439931</td>\n",
+       "      <td>7.848664</td>\n",
+       "      <td>-0.946</td>\n",
+       "      <td>2.908551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ICE</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>149.01</td>\n",
+       "      <td>-0.007658</td>\n",
+       "      <td>-0.058627</td>\n",
+       "      <td>0.008330</td>\n",
+       "      <td>0.514489</td>\n",
+       "      <td>7.617643</td>\n",
+       "      <td>-1.788</td>\n",
+       "      <td>1.038627</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NWSA</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>27.54</td>\n",
+       "      <td>-0.018182</td>\n",
+       "      <td>-0.064856</td>\n",
+       "      <td>0.008778</td>\n",
+       "      <td>0.792798</td>\n",
+       "      <td>7.526206</td>\n",
+       "      <td>-1.138</td>\n",
+       "      <td>1.194856</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CI</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>276.14</td>\n",
+       "      <td>-0.019494</td>\n",
+       "      <td>-0.180739</td>\n",
+       "      <td>0.024492</td>\n",
+       "      <td>0.479807</td>\n",
+       "      <td>7.424862</td>\n",
+       "      <td>-1.584</td>\n",
+       "      <td>1.540739</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>CVS</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>44.89</td>\n",
+       "      <td>0.016991</td>\n",
+       "      <td>-0.240183</td>\n",
+       "      <td>0.026418</td>\n",
+       "      <td>0.754280</td>\n",
+       "      <td>7.341509</td>\n",
+       "      <td>-1.374</td>\n",
+       "      <td>1.860183</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>PRU</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>118.53</td>\n",
+       "      <td>-0.000253</td>\n",
+       "      <td>-0.076941</td>\n",
+       "      <td>0.013612</td>\n",
+       "      <td>0.485015</td>\n",
+       "      <td>7.292082</td>\n",
+       "      <td>-1.512</td>\n",
+       "      <td>1.966941</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>MCK</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>569.91</td>\n",
+       "      <td>-0.011877</td>\n",
+       "      <td>-0.082699</td>\n",
+       "      <td>0.008791</td>\n",
+       "      <td>0.550793</td>\n",
+       "      <td>7.280141</td>\n",
+       "      <td>-1.552</td>\n",
+       "      <td>1.372699</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>AEE</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>89.14</td>\n",
+       "      <td>-0.006132</td>\n",
+       "      <td>-0.040267</td>\n",
+       "      <td>0.008990</td>\n",
+       "      <td>0.950844</td>\n",
+       "      <td>7.259124</td>\n",
+       "      <td>-1.092</td>\n",
+       "      <td>1.540267</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>EMR</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>123.93</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.073559</td>\n",
+       "      <td>0.013443</td>\n",
+       "      <td>0.719448</td>\n",
+       "      <td>7.255222</td>\n",
+       "      <td>-1.046</td>\n",
+       "      <td>1.503559</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>GPC</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>116.76</td>\n",
+       "      <td>0.004992</td>\n",
+       "      <td>-0.084451</td>\n",
+       "      <td>0.011245</td>\n",
+       "      <td>0.766308</td>\n",
+       "      <td>7.248471</td>\n",
+       "      <td>-1.566</td>\n",
+       "      <td>0.774451</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>AIG</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>72.80</td>\n",
+       "      <td>0.004554</td>\n",
+       "      <td>-0.042231</td>\n",
+       "      <td>0.011705</td>\n",
+       "      <td>0.474948</td>\n",
+       "      <td>7.172821</td>\n",
+       "      <td>-1.248</td>\n",
+       "      <td>0.442231</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>CNP</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>31.73</td>\n",
+       "      <td>-0.011526</td>\n",
+       "      <td>-0.008128</td>\n",
+       "      <td>0.010127</td>\n",
+       "      <td>0.638794</td>\n",
+       "      <td>7.139191</td>\n",
+       "      <td>-1.166</td>\n",
+       "      <td>0.768128</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>TGT</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>135.18</td>\n",
+       "      <td>0.024712</td>\n",
+       "      <td>0.034119</td>\n",
+       "      <td>0.011963</td>\n",
+       "      <td>0.526654</td>\n",
+       "      <td>7.114904</td>\n",
+       "      <td>-1.668</td>\n",
+       "      <td>1.505881</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>DE</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>423.70</td>\n",
+       "      <td>-0.020075</td>\n",
+       "      <td>-0.084782</td>\n",
+       "      <td>0.012732</td>\n",
+       "      <td>0.685478</td>\n",
+       "      <td>6.995123</td>\n",
+       "      <td>-1.148</td>\n",
+       "      <td>1.304782</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>MDT</td>\n",
+       "      <td>2015-01-26</td>\n",
+       "      <td>75.59</td>\n",
+       "      <td>0.038895</td>\n",
+       "      <td>0.020383</td>\n",
+       "      <td>0.015031</td>\n",
+       "      <td>3.200092</td>\n",
+       "      <td>6.959839</td>\n",
+       "      <td>-1.246</td>\n",
+       "      <td>1.359617</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>XOM</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>107.57</td>\n",
+       "      <td>0.011947</td>\n",
+       "      <td>-0.087230</td>\n",
+       "      <td>0.009869</td>\n",
+       "      <td>0.723513</td>\n",
+       "      <td>6.928484</td>\n",
+       "      <td>-1.398</td>\n",
+       "      <td>2.177230</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>JNJ</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>144.62</td>\n",
+       "      <td>-0.004474</td>\n",
+       "      <td>-0.065762</td>\n",
+       "      <td>0.009550</td>\n",
+       "      <td>0.680121</td>\n",
+       "      <td>6.927431</td>\n",
+       "      <td>-1.030</td>\n",
+       "      <td>1.465762</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>T</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>22.77</td>\n",
+       "      <td>-0.003065</td>\n",
+       "      <td>0.003084</td>\n",
+       "      <td>0.015655</td>\n",
+       "      <td>0.615994</td>\n",
+       "      <td>6.919113</td>\n",
+       "      <td>-1.594</td>\n",
+       "      <td>1.346916</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>SPGI</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>498.03</td>\n",
+       "      <td>-0.000442</td>\n",
+       "      <td>-0.047507</td>\n",
+       "      <td>0.009178</td>\n",
+       "      <td>0.606777</td>\n",
+       "      <td>6.907932</td>\n",
+       "      <td>-1.010</td>\n",
+       "      <td>2.267507</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>AMZN</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>219.39</td>\n",
+       "      <td>-0.025193</td>\n",
+       "      <td>0.041194</td>\n",
+       "      <td>0.017706</td>\n",
+       "      <td>0.686127</td>\n",
+       "      <td>6.907109</td>\n",
+       "      <td>-1.260</td>\n",
+       "      <td>1.988806</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ticker       date  dlyclose    ret_5d   ret_20d   vol_20d  relative_volume  \\\n",
+       "0    ADBE 2024-12-31    444.68 -0.004611 -0.138551  0.034389         0.439931   \n",
+       "1     ICE 2024-12-31    149.01 -0.007658 -0.058627  0.008330         0.514489   \n",
+       "2    NWSA 2024-12-31     27.54 -0.018182 -0.064856  0.008778         0.792798   \n",
+       "3      CI 2024-12-31    276.14 -0.019494 -0.180739  0.024492         0.479807   \n",
+       "4     CVS 2024-12-31     44.89  0.016991 -0.240183  0.026418         0.754280   \n",
+       "5     PRU 2024-12-31    118.53 -0.000253 -0.076941  0.013612         0.485015   \n",
+       "6     MCK 2024-12-31    569.91 -0.011877 -0.082699  0.008791         0.550793   \n",
+       "7     AEE 2024-12-31     89.14 -0.006132 -0.040267  0.008990         0.950844   \n",
+       "8     EMR 2024-12-31    123.93  0.000000 -0.073559  0.013443         0.719448   \n",
+       "9     GPC 2024-12-31    116.76  0.004992 -0.084451  0.011245         0.766308   \n",
+       "10    AIG 2024-12-31     72.80  0.004554 -0.042231  0.011705         0.474948   \n",
+       "11    CNP 2024-12-31     31.73 -0.011526 -0.008128  0.010127         0.638794   \n",
+       "12    TGT 2024-12-31    135.18  0.024712  0.034119  0.011963         0.526654   \n",
+       "13     DE 2024-12-31    423.70 -0.020075 -0.084782  0.012732         0.685478   \n",
+       "14    MDT 2015-01-26     75.59  0.038895  0.020383  0.015031         3.200092   \n",
+       "15    XOM 2024-12-31    107.57  0.011947 -0.087230  0.009869         0.723513   \n",
+       "16    JNJ 2024-12-31    144.62 -0.004474 -0.065762  0.009550         0.680121   \n",
+       "17      T 2024-12-31     22.77 -0.003065  0.003084  0.015655         0.615994   \n",
+       "18   SPGI 2024-12-31    498.03 -0.000442 -0.047507  0.009178         0.606777   \n",
+       "19   AMZN 2024-12-31    219.39 -0.025193  0.041194  0.017706         0.686127   \n",
+       "\n",
+       "    risk_score  credibility_score  misalignment_score  \n",
+       "0     7.848664             -0.946            2.908551  \n",
+       "1     7.617643             -1.788            1.038627  \n",
+       "2     7.526206             -1.138            1.194856  \n",
+       "3     7.424862             -1.584            1.540739  \n",
+       "4     7.341509             -1.374            1.860183  \n",
+       "5     7.292082             -1.512            1.966941  \n",
+       "6     7.280141             -1.552            1.372699  \n",
+       "7     7.259124             -1.092            1.540267  \n",
+       "8     7.255222             -1.046            1.503559  \n",
+       "9     7.248471             -1.566            0.774451  \n",
+       "10    7.172821             -1.248            0.442231  \n",
+       "11    7.139191             -1.166            0.768128  \n",
+       "12    7.114904             -1.668            1.505881  \n",
+       "13    6.995123             -1.148            1.304782  \n",
+       "14    6.959839             -1.246            1.359617  \n",
+       "15    6.928484             -1.398            2.177230  \n",
+       "16    6.927431             -1.030            1.465762  \n",
+       "17    6.919113             -1.594            1.346916  \n",
+       "18    6.907932             -1.010            2.267507  \n",
+       "19    6.907109             -1.260            1.988806  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "high_risk = (\n",
+    "    latest_snapshot.sort_values(\"risk_score\", ascending=False)\n",
+    "    .loc[:, [\n",
+    "        \"ticker\",\n",
+    "        \"date\",\n",
+    "        \"dlyclose\",\n",
+    "        \"ret_5d\",\n",
+    "        \"ret_20d\",\n",
+    "        \"vol_20d\",\n",
+    "        \"relative_volume\",\n",
+    "        \"risk_score\",\n",
+    "        \"credibility_score\",\n",
+    "        \"misalignment_score\",\n",
+    "    ]]\n",
+    "    .reset_index(drop=True)\n",
+    ")\n",
+    "\n",
+    "high_risk.head(20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "39da8617",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saved: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\\high_risk_companies.parquet\n"
+     ]
+    }
+   ],
+   "source": [
+    "high_risk_path = PROCESSED / \"high_risk_companies.parquet\"\n",
+    "high_risk.to_parquet(high_risk_path, index=False)\n",
+    "\n",
+    "print(\"Saved:\", high_risk_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "d50e3573",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>ret_5d</th>\n",
+       "      <th>ret_20d</th>\n",
+       "      <th>net_positivity</th>\n",
+       "      <th>numeric_transparency</th>\n",
+       "      <th>language_complexity</th>\n",
+       "      <th>credibility_score</th>\n",
+       "      <th>risk_score</th>\n",
+       "      <th>misalignment_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>AVGO</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>231.84</td>\n",
+       "      <td>-0.002195</td>\n",
+       "      <td>0.392349</td>\n",
+       "      <td>0.45</td>\n",
+       "      <td>5.49</td>\n",
+       "      <td>10.47</td>\n",
+       "      <td>0.282</td>\n",
+       "      <td>5.106573</td>\n",
+       "      <td>0.057651</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>DOC</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>20.27</td>\n",
+       "      <td>0.004460</td>\n",
+       "      <td>-0.063741</td>\n",
+       "      <td>1.53</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>10.38</td>\n",
+       "      <td>-0.396</td>\n",
+       "      <td>5.235636</td>\n",
+       "      <td>1.593741</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>PNC</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>192.85</td>\n",
+       "      <td>-0.001398</td>\n",
+       "      <td>-0.087576</td>\n",
+       "      <td>0.85</td>\n",
+       "      <td>3.44</td>\n",
+       "      <td>10.71</td>\n",
+       "      <td>-0.426</td>\n",
+       "      <td>5.408568</td>\n",
+       "      <td>0.937576</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>ECL</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>234.32</td>\n",
+       "      <td>-0.019951</td>\n",
+       "      <td>-0.056873</td>\n",
+       "      <td>2.22</td>\n",
+       "      <td>2.63</td>\n",
+       "      <td>11.97</td>\n",
+       "      <td>-0.454</td>\n",
+       "      <td>6.024078</td>\n",
+       "      <td>2.276873</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>ITW</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>253.56</td>\n",
+       "      <td>-0.015836</td>\n",
+       "      <td>-0.089551</td>\n",
+       "      <td>1.61</td>\n",
+       "      <td>3.47</td>\n",
+       "      <td>12.76</td>\n",
+       "      <td>-0.520</td>\n",
+       "      <td>6.431433</td>\n",
+       "      <td>1.699551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>VTR</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>58.89</td>\n",
+       "      <td>-0.000679</td>\n",
+       "      <td>-0.054128</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>2.40</td>\n",
+       "      <td>12.18</td>\n",
+       "      <td>-0.532</td>\n",
+       "      <td>6.127788</td>\n",
+       "      <td>2.414128</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>FISV</td>\n",
+       "      <td>2023-06-06</td>\n",
+       "      <td>114.23</td>\n",
+       "      <td>0.011243</td>\n",
+       "      <td>-0.044100</td>\n",
+       "      <td>1.44</td>\n",
+       "      <td>3.82</td>\n",
+       "      <td>13.22</td>\n",
+       "      <td>-0.540</td>\n",
+       "      <td>6.643315</td>\n",
+       "      <td>1.484100</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>MSI</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>462.23</td>\n",
+       "      <td>-0.016050</td>\n",
+       "      <td>-0.069398</td>\n",
+       "      <td>1.45</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>11.52</td>\n",
+       "      <td>-0.552</td>\n",
+       "      <td>5.802863</td>\n",
+       "      <td>1.519398</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>UPS</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>126.10</td>\n",
+       "      <td>0.002783</td>\n",
+       "      <td>-0.059096</td>\n",
+       "      <td>1.40</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>11.00</td>\n",
+       "      <td>-0.572</td>\n",
+       "      <td>5.543456</td>\n",
+       "      <td>1.459096</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>AME</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>180.26</td>\n",
+       "      <td>-0.009941</td>\n",
+       "      <td>-0.078237</td>\n",
+       "      <td>1.66</td>\n",
+       "      <td>2.44</td>\n",
+       "      <td>11.07</td>\n",
+       "      <td>-0.574</td>\n",
+       "      <td>5.583821</td>\n",
+       "      <td>1.738237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>CMI</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>348.60</td>\n",
+       "      <td>-0.007205</td>\n",
+       "      <td>-0.076067</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>3.48</td>\n",
+       "      <td>12.63</td>\n",
+       "      <td>-0.578</td>\n",
+       "      <td>6.362994</td>\n",
+       "      <td>1.466067</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>GE</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>166.79</td>\n",
+       "      <td>-0.013194</td>\n",
+       "      <td>-0.075648</td>\n",
+       "      <td>1.29</td>\n",
+       "      <td>2.97</td>\n",
+       "      <td>11.57</td>\n",
+       "      <td>-0.610</td>\n",
+       "      <td>5.842693</td>\n",
+       "      <td>1.365648</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>PCAR</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>104.02</td>\n",
+       "      <td>-0.006495</td>\n",
+       "      <td>-0.105127</td>\n",
+       "      <td>1.45</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>9.99</td>\n",
+       "      <td>-0.618</td>\n",
+       "      <td>5.059091</td>\n",
+       "      <td>1.555127</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>PG</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>167.65</td>\n",
+       "      <td>-0.002736</td>\n",
+       "      <td>-0.067056</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>2.40</td>\n",
+       "      <td>11.48</td>\n",
+       "      <td>-0.648</td>\n",
+       "      <td>5.782190</td>\n",
+       "      <td>1.787056</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>VZ</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>39.99</td>\n",
+       "      <td>0.001252</td>\n",
+       "      <td>-0.088027</td>\n",
+       "      <td>1.71</td>\n",
+       "      <td>1.48</td>\n",
+       "      <td>9.65</td>\n",
+       "      <td>-0.654</td>\n",
+       "      <td>4.879518</td>\n",
+       "      <td>1.798027</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>TRV</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>240.89</td>\n",
+       "      <td>-0.001947</td>\n",
+       "      <td>-0.085841</td>\n",
+       "      <td>2.25</td>\n",
+       "      <td>2.46</td>\n",
+       "      <td>12.73</td>\n",
+       "      <td>-0.662</td>\n",
+       "      <td>6.420573</td>\n",
+       "      <td>2.335841</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>IFF</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>84.55</td>\n",
+       "      <td>-0.002831</td>\n",
+       "      <td>-0.073628</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>2.21</td>\n",
+       "      <td>12.49</td>\n",
+       "      <td>-0.670</td>\n",
+       "      <td>6.288246</td>\n",
+       "      <td>2.433628</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>BAC</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>43.95</td>\n",
+       "      <td>0.001367</td>\n",
+       "      <td>-0.065689</td>\n",
+       "      <td>1.06</td>\n",
+       "      <td>3.22</td>\n",
+       "      <td>12.00</td>\n",
+       "      <td>-0.688</td>\n",
+       "      <td>6.044322</td>\n",
+       "      <td>1.125689</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>NFLX</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>891.32</td>\n",
+       "      <td>-0.022086</td>\n",
+       "      <td>-0.007151</td>\n",
+       "      <td>2.18</td>\n",
+       "      <td>1.31</td>\n",
+       "      <td>10.48</td>\n",
+       "      <td>-0.700</td>\n",
+       "      <td>5.258517</td>\n",
+       "      <td>2.187151</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>GD</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>263.49</td>\n",
+       "      <td>-0.006410</td>\n",
+       "      <td>-0.046846</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>2.76</td>\n",
+       "      <td>10.85</td>\n",
+       "      <td>-0.722</td>\n",
+       "      <td>5.456640</td>\n",
+       "      <td>0.906846</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ticker       date  dlyclose    ret_5d   ret_20d  net_positivity  \\\n",
+       "0    AVGO 2024-12-31    231.84 -0.002195  0.392349            0.45   \n",
+       "1     DOC 2024-12-31     20.27  0.004460 -0.063741            1.53   \n",
+       "2     PNC 2024-12-31    192.85 -0.001398 -0.087576            0.85   \n",
+       "3     ECL 2024-12-31    234.32 -0.019951 -0.056873            2.22   \n",
+       "4     ITW 2024-12-31    253.56 -0.015836 -0.089551            1.61   \n",
+       "5     VTR 2024-12-31     58.89 -0.000679 -0.054128            2.36   \n",
+       "6    FISV 2023-06-06    114.23  0.011243 -0.044100            1.44   \n",
+       "7     MSI 2024-12-31    462.23 -0.016050 -0.069398            1.45   \n",
+       "8     UPS 2024-12-31    126.10  0.002783 -0.059096            1.40   \n",
+       "9     AME 2024-12-31    180.26 -0.009941 -0.078237            1.66   \n",
+       "10    CMI 2024-12-31    348.60 -0.007205 -0.076067            1.39   \n",
+       "11     GE 2024-12-31    166.79 -0.013194 -0.075648            1.29   \n",
+       "12   PCAR 2024-12-31    104.02 -0.006495 -0.105127            1.45   \n",
+       "13     PG 2024-12-31    167.65 -0.002736 -0.067056            1.72   \n",
+       "14     VZ 2024-12-31     39.99  0.001252 -0.088027            1.71   \n",
+       "15    TRV 2024-12-31    240.89 -0.001947 -0.085841            2.25   \n",
+       "16    IFF 2024-12-31     84.55 -0.002831 -0.073628            2.36   \n",
+       "17    BAC 2024-12-31     43.95  0.001367 -0.065689            1.06   \n",
+       "18   NFLX 2024-12-31    891.32 -0.022086 -0.007151            2.18   \n",
+       "19     GD 2024-12-31    263.49 -0.006410 -0.046846            0.86   \n",
+       "\n",
+       "    numeric_transparency  language_complexity  credibility_score  risk_score  \\\n",
+       "0                   5.49                10.47              0.282    5.106573   \n",
+       "1                   2.67                10.38             -0.396    5.235636   \n",
+       "2                   3.44                10.71             -0.426    5.408568   \n",
+       "3                   2.63                11.97             -0.454    6.024078   \n",
+       "4                   3.47                12.76             -0.520    6.431433   \n",
+       "5                   2.40                12.18             -0.532    6.127788   \n",
+       "6                   3.82                13.22             -0.540    6.643315   \n",
+       "7                   2.93                11.52             -0.552    5.802863   \n",
+       "8                   2.67                11.00             -0.572    5.543456   \n",
+       "9                   2.44                11.07             -0.574    5.583821   \n",
+       "10                  3.48                12.63             -0.578    6.362994   \n",
+       "11                  2.97                11.57             -0.610    5.842693   \n",
+       "12                  2.00                 9.99             -0.618    5.059091   \n",
+       "13                  2.40                11.48             -0.648    5.782190   \n",
+       "14                  1.48                 9.65             -0.654    4.879518   \n",
+       "15                  2.46                12.73             -0.662    6.420573   \n",
+       "16                  2.21                12.49             -0.670    6.288246   \n",
+       "17                  3.22                12.00             -0.688    6.044322   \n",
+       "18                  1.31                10.48             -0.700    5.258517   \n",
+       "19                  2.76                10.85             -0.722    5.456640   \n",
+       "\n",
+       "    misalignment_score  \n",
+       "0             0.057651  \n",
+       "1             1.593741  \n",
+       "2             0.937576  \n",
+       "3             2.276873  \n",
+       "4             1.699551  \n",
+       "5             2.414128  \n",
+       "6             1.484100  \n",
+       "7             1.519398  \n",
+       "8             1.459096  \n",
+       "9             1.738237  \n",
+       "10            1.466067  \n",
+       "11            1.365648  \n",
+       "12            1.555127  \n",
+       "13            1.787056  \n",
+       "14            1.798027  \n",
+       "15            2.335841  \n",
+       "16            2.433628  \n",
+       "17            1.125689  \n",
+       "18            2.187151  \n",
+       "19            0.906846  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "high_credibility = (\n",
+    "    latest_snapshot.sort_values(\"credibility_score\", ascending=False)\n",
+    "    .loc[:, [\n",
+    "        \"ticker\",\n",
+    "        \"date\",\n",
+    "        \"dlyclose\",\n",
+    "        \"ret_5d\",\n",
+    "        \"ret_20d\",\n",
+    "        \"net_positivity\",\n",
+    "        \"numeric_transparency\",\n",
+    "        \"language_complexity\",\n",
+    "        \"credibility_score\",\n",
+    "        \"risk_score\",\n",
+    "        \"misalignment_score\",\n",
+    "    ]]\n",
+    "    .reset_index(drop=True)\n",
+    ")\n",
+    "\n",
+    "high_credibility.head(20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "2be85e26",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saved: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\\high_credibility_companies.parquet\n"
+     ]
+    }
+   ],
+   "source": [
+    "high_credibility_path = PROCESSED / \"high_credibility_companies.parquet\"\n",
+    "high_credibility.to_parquet(high_credibility_path, index=False)\n",
+    "\n",
+    "print(\"Saved:\", high_credibility_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "c10472c0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>ret_5d</th>\n",
+       "      <th>ret_20d</th>\n",
+       "      <th>ret_60d</th>\n",
+       "      <th>vol_20d</th>\n",
+       "      <th>vol_60d</th>\n",
+       "      <th>relative_volume</th>\n",
+       "      <th>net_positivity</th>\n",
+       "      <th>numeric_transparency</th>\n",
+       "      <th>language_complexity</th>\n",
+       "      <th>analyst_selectivity_ratio</th>\n",
+       "      <th>positivity_delta</th>\n",
+       "      <th>transparency_delta</th>\n",
+       "      <th>complexity_delta</th>\n",
+       "      <th>selectivity_delta</th>\n",
+       "      <th>credibility_score</th>\n",
+       "      <th>risk_score</th>\n",
+       "      <th>misalignment_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2767</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>134.34</td>\n",
+       "      <td>-0.001932</td>\n",
+       "      <td>-0.037541</td>\n",
+       "      <td>-0.073326</td>\n",
+       "      <td>0.012083</td>\n",
+       "      <td>0.015691</td>\n",
+       "      <td>0.466968</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>1.82</td>\n",
+       "      <td>11.42</td>\n",
+       "      <td>46.67</td>\n",
+       "      <td>-0.14</td>\n",
+       "      <td>-0.06</td>\n",
+       "      <td>0.66</td>\n",
+       "      <td>-12.15</td>\n",
+       "      <td>-1.116</td>\n",
+       "      <td>5.740853</td>\n",
+       "      <td>1.137541</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5535</th>\n",
+       "      <td>AAPL</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>250.42</td>\n",
+       "      <td>-0.018999</td>\n",
+       "      <td>0.045202</td>\n",
+       "      <td>0.104145</td>\n",
+       "      <td>0.010385</td>\n",
+       "      <td>0.010795</td>\n",
+       "      <td>0.847932</td>\n",
+       "      <td>1.46</td>\n",
+       "      <td>2.16</td>\n",
+       "      <td>11.83</td>\n",
+       "      <td>19.05</td>\n",
+       "      <td>-0.11</td>\n",
+       "      <td>0.17</td>\n",
+       "      <td>-0.21</td>\n",
+       "      <td>0.45</td>\n",
+       "      <td>-0.918</td>\n",
+       "      <td>5.902784</td>\n",
+       "      <td>1.414798</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8303</th>\n",
+       "      <td>ABBV</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>177.70</td>\n",
+       "      <td>-0.003868</td>\n",
+       "      <td>-0.022391</td>\n",
+       "      <td>-0.085388</td>\n",
+       "      <td>0.012264</td>\n",
+       "      <td>0.021616</td>\n",
+       "      <td>0.567721</td>\n",
+       "      <td>1.61</td>\n",
+       "      <td>2.15</td>\n",
+       "      <td>12.78</td>\n",
+       "      <td>28.57</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>0.12</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>-15.43</td>\n",
+       "      <td>-1.052</td>\n",
+       "      <td>6.413460</td>\n",
+       "      <td>1.632391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11071</th>\n",
+       "      <td>ABT</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>113.11</td>\n",
+       "      <td>-0.010498</td>\n",
+       "      <td>-0.031675</td>\n",
+       "      <td>0.004173</td>\n",
+       "      <td>0.007710</td>\n",
+       "      <td>0.010599</td>\n",
+       "      <td>0.744383</td>\n",
+       "      <td>1.39</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>11.47</td>\n",
+       "      <td>31.58</td>\n",
+       "      <td>-0.18</td>\n",
+       "      <td>0.20</td>\n",
+       "      <td>-0.40</td>\n",
+       "      <td>3.01</td>\n",
+       "      <td>-1.086</td>\n",
+       "      <td>5.758547</td>\n",
+       "      <td>1.421675</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13839</th>\n",
+       "      <td>ADBE</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>444.68</td>\n",
+       "      <td>-0.004611</td>\n",
+       "      <td>-0.138551</td>\n",
+       "      <td>-0.123300</td>\n",
+       "      <td>0.034389</td>\n",
+       "      <td>0.024594</td>\n",
+       "      <td>0.439931</td>\n",
+       "      <td>2.77</td>\n",
+       "      <td>2.61</td>\n",
+       "      <td>15.49</td>\n",
+       "      <td>15.15</td>\n",
+       "      <td>-0.13</td>\n",
+       "      <td>1.08</td>\n",
+       "      <td>0.23</td>\n",
+       "      <td>-3.03</td>\n",
+       "      <td>-0.946</td>\n",
+       "      <td>7.848664</td>\n",
+       "      <td>2.908551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16607</th>\n",
+       "      <td>ADI</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>212.46</td>\n",
+       "      <td>-0.011308</td>\n",
+       "      <td>-0.047777</td>\n",
+       "      <td>-0.069097</td>\n",
+       "      <td>0.013245</td>\n",
+       "      <td>0.016952</td>\n",
+       "      <td>0.556941</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>2.70</td>\n",
+       "      <td>12.90</td>\n",
+       "      <td>28.00</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>-1.63</td>\n",
+       "      <td>-1.044</td>\n",
+       "      <td>6.487133</td>\n",
+       "      <td>1.187777</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19375</th>\n",
+       "      <td>ADM</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>50.52</td>\n",
+       "      <td>0.002182</td>\n",
+       "      <td>-0.069099</td>\n",
+       "      <td>-0.147054</td>\n",
+       "      <td>0.014137</td>\n",
+       "      <td>0.014894</td>\n",
+       "      <td>0.660446</td>\n",
+       "      <td>0.82</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>12.40</td>\n",
+       "      <td>66.67</td>\n",
+       "      <td>-0.86</td>\n",
+       "      <td>-0.36</td>\n",
+       "      <td>0.14</td>\n",
+       "      <td>-4.76</td>\n",
+       "      <td>-1.516</td>\n",
+       "      <td>6.248687</td>\n",
+       "      <td>0.889099</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22143</th>\n",
+       "      <td>ADP</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>292.73</td>\n",
+       "      <td>-0.004827</td>\n",
+       "      <td>-0.043460</td>\n",
+       "      <td>0.026547</td>\n",
+       "      <td>0.010057</td>\n",
+       "      <td>0.010525</td>\n",
+       "      <td>0.503379</td>\n",
+       "      <td>2.07</td>\n",
+       "      <td>1.18</td>\n",
+       "      <td>10.99</td>\n",
+       "      <td>35.29</td>\n",
+       "      <td>0.33</td>\n",
+       "      <td>-0.91</td>\n",
+       "      <td>-0.16</td>\n",
+       "      <td>-3.60</td>\n",
+       "      <td>-0.898</td>\n",
+       "      <td>5.526786</td>\n",
+       "      <td>2.113460</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24911</th>\n",
+       "      <td>ADSK</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>295.57</td>\n",
+       "      <td>-0.006454</td>\n",
+       "      <td>-0.003641</td>\n",
+       "      <td>0.090021</td>\n",
+       "      <td>0.012254</td>\n",
+       "      <td>0.017360</td>\n",
+       "      <td>0.512420</td>\n",
+       "      <td>1.59</td>\n",
+       "      <td>1.79</td>\n",
+       "      <td>13.23</td>\n",
+       "      <td>34.62</td>\n",
+       "      <td>-0.10</td>\n",
+       "      <td>0.31</td>\n",
+       "      <td>-0.20</td>\n",
+       "      <td>8.69</td>\n",
+       "      <td>-1.294</td>\n",
+       "      <td>6.629075</td>\n",
+       "      <td>1.593641</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27679</th>\n",
+       "      <td>AEE</td>\n",
+       "      <td>2024-12-31</td>\n",
+       "      <td>89.14</td>\n",
+       "      <td>-0.006132</td>\n",
+       "      <td>-0.040267</td>\n",
+       "      <td>0.015956</td>\n",
+       "      <td>0.008990</td>\n",
+       "      <td>0.011599</td>\n",
+       "      <td>0.950844</td>\n",
+       "      <td>1.50</td>\n",
+       "      <td>3.00</td>\n",
+       "      <td>14.46</td>\n",
+       "      <td>15.38</td>\n",
+       "      <td>-0.17</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>-15.39</td>\n",
+       "      <td>-1.092</td>\n",
+       "      <td>7.259124</td>\n",
+       "      <td>1.540267</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      ticker       date  dlyclose    ret_5d   ret_20d   ret_60d   vol_20d  \\\n",
+       "2767       A 2024-12-31    134.34 -0.001932 -0.037541 -0.073326  0.012083   \n",
+       "5535    AAPL 2024-12-31    250.42 -0.018999  0.045202  0.104145  0.010385   \n",
+       "8303    ABBV 2024-12-31    177.70 -0.003868 -0.022391 -0.085388  0.012264   \n",
+       "11071    ABT 2024-12-31    113.11 -0.010498 -0.031675  0.004173  0.007710   \n",
+       "13839   ADBE 2024-12-31    444.68 -0.004611 -0.138551 -0.123300  0.034389   \n",
+       "16607    ADI 2024-12-31    212.46 -0.011308 -0.047777 -0.069097  0.013245   \n",
+       "19375    ADM 2024-12-31     50.52  0.002182 -0.069099 -0.147054  0.014137   \n",
+       "22143    ADP 2024-12-31    292.73 -0.004827 -0.043460  0.026547  0.010057   \n",
+       "24911   ADSK 2024-12-31    295.57 -0.006454 -0.003641  0.090021  0.012254   \n",
+       "27679    AEE 2024-12-31     89.14 -0.006132 -0.040267  0.015956  0.008990   \n",
+       "\n",
+       "        vol_60d  relative_volume  net_positivity  numeric_transparency  \\\n",
+       "2767   0.015691         0.466968            1.10                  1.82   \n",
+       "5535   0.010795         0.847932            1.46                  2.16   \n",
+       "8303   0.021616         0.567721            1.61                  2.15   \n",
+       "11071  0.010599         0.744383            1.39                  1.63   \n",
+       "13839  0.024594         0.439931            2.77                  2.61   \n",
+       "16607  0.016952         0.556941            1.14                  2.70   \n",
+       "19375  0.014894         0.660446            0.82                  1.59   \n",
+       "22143  0.010525         0.503379            2.07                  1.18   \n",
+       "24911  0.017360         0.512420            1.59                  1.79   \n",
+       "27679  0.011599         0.950844            1.50                  3.00   \n",
+       "\n",
+       "       language_complexity  analyst_selectivity_ratio  positivity_delta  \\\n",
+       "2767                 11.42                      46.67             -0.14   \n",
+       "5535                 11.83                      19.05             -0.11   \n",
+       "8303                 12.78                      28.57              0.31   \n",
+       "11071                11.47                      31.58             -0.18   \n",
+       "13839                15.49                      15.15             -0.13   \n",
+       "16607                12.90                      28.00              0.32   \n",
+       "19375                12.40                      66.67             -0.86   \n",
+       "22143                10.99                      35.29              0.33   \n",
+       "24911                13.23                      34.62             -0.10   \n",
+       "27679                14.46                      15.38             -0.17   \n",
+       "\n",
+       "       transparency_delta  complexity_delta  selectivity_delta  \\\n",
+       "2767                -0.06              0.66             -12.15   \n",
+       "5535                 0.17             -0.21               0.45   \n",
+       "8303                 0.12              0.02             -15.43   \n",
+       "11071                0.20             -0.40               3.01   \n",
+       "13839                1.08              0.23              -3.03   \n",
+       "16607                0.70              0.03              -1.63   \n",
+       "19375               -0.36              0.14              -4.76   \n",
+       "22143               -0.91             -0.16              -3.60   \n",
+       "24911                0.31             -0.20               8.69   \n",
+       "27679                0.56              1.09             -15.39   \n",
+       "\n",
+       "       credibility_score  risk_score  misalignment_score  \n",
+       "2767              -1.116    5.740853            1.137541  \n",
+       "5535              -0.918    5.902784            1.414798  \n",
+       "8303              -1.052    6.413460            1.632391  \n",
+       "11071             -1.086    5.758547            1.421675  \n",
+       "13839             -0.946    7.848664            2.908551  \n",
+       "16607             -1.044    6.487133            1.187777  \n",
+       "19375             -1.516    6.248687            0.889099  \n",
+       "22143             -0.898    5.526786            2.113460  \n",
+       "24911             -1.294    6.629075            1.593641  \n",
+       "27679             -1.092    7.259124            1.540267  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "signal_screener = latest_snapshot[\n",
+    "    [\n",
+    "        \"ticker\",\n",
+    "        \"date\",\n",
+    "        \"dlyclose\",\n",
+    "        \"ret_5d\",\n",
+    "        \"ret_20d\",\n",
+    "        \"ret_60d\",\n",
+    "        \"vol_20d\",\n",
+    "        \"vol_60d\",\n",
+    "        \"relative_volume\",\n",
+    "        \"net_positivity\",\n",
+    "        \"numeric_transparency\",\n",
+    "        \"language_complexity\",\n",
+    "        \"analyst_selectivity_ratio\",\n",
+    "        \"positivity_delta\",\n",
+    "        \"transparency_delta\",\n",
+    "        \"complexity_delta\",\n",
+    "        \"selectivity_delta\",\n",
+    "        \"credibility_score\",\n",
+    "        \"risk_score\",\n",
+    "        \"misalignment_score\",\n",
+    "    ]\n",
+    "].copy()\n",
+    "\n",
+    "signal_screener.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "5e318290",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saved: c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\\signal_screener.parquet\n"
+     ]
+    }
+   ],
+   "source": [
+    "signal_screener_path = PROCESSED / \"signal_screener.parquet\"\n",
+    "signal_screener.to_parquet(signal_screener_path, index=False)\n",
+    "\n",
+    "print(\"Saved:\", signal_screener_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "8b86789f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Latest snapshot: (180, 41)\n",
+      "High risk: (180, 10)\n",
+      "High credibility: (180, 11)\n",
+      "Signal screener: (180, 20)\n",
+      "\n",
+      "Duplicate tickers in latest snapshot: 0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Latest snapshot:\", latest_snapshot.shape)\n",
+    "print(\"High risk:\", high_risk.shape)\n",
+    "print(\"High credibility:\", high_credibility.shape)\n",
+    "print(\"Signal screener:\", signal_screener.shape)\n",
+    "\n",
+    "print(\"\\nDuplicate tickers in latest snapshot:\",\n",
+    "      latest_snapshot[\"ticker\"].duplicated().sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "4da0b3bd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Reloaded latest: (180, 41)\n",
+      "Reloaded risk: (180, 10)\n",
+      "Reloaded credibility: (180, 11)\n",
+      "Reloaded screener: (180, 20)\n"
+     ]
+    }
+   ],
+   "source": [
+    "check_latest = pd.read_parquet(latest_snapshot_path)\n",
+    "check_risk = pd.read_parquet(high_risk_path)\n",
+    "check_cred = pd.read_parquet(high_credibility_path)\n",
+    "check_screen = pd.read_parquet(signal_screener_path)\n",
+    "\n",
+    "print(\"Reloaded latest:\", check_latest.shape)\n",
+    "print(\"Reloaded risk:\", check_risk.shape)\n",
+    "print(\"Reloaded credibility:\", check_cred.shape)\n",
+    "print(\"Reloaded screener:\", check_screen.shape)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/data/processed/basic_sanity_checks.csv b/notebooks/data/processed/basic_sanity_checks.csv
new file mode 100644
index 0000000..dee4509
--- /dev/null
+++ b/notebooks/data/processed/basic_sanity_checks.csv
@@ -0,0 +1,6 @@
+check,value
+ohlc_invalid_count,277
+dlyret_abs_gt_30pct_count,16
+dlyret_abs_gt_100pct_count,0
+dlyretx_abs_gt_30pct_count,16
+dlyretx_abs_gt_100pct_count,0
diff --git a/notebooks/data/processed/categorical_univariate_summary.csv b/notebooks/data/processed/categorical_univariate_summary.csv
new file mode 100644
index 0000000..267046b
--- /dev/null
+++ b/notebooks/data/processed/categorical_univariate_summary.csv
@@ -0,0 +1,25 @@
+securitytype,count,pct,variable,sharetype,usincflg,shradrflg,ticker
+EQTY,495987,100.0,securitytype,,,,
+,495987,100.0,sharetype,NS,,,
+,495987,100.0,usincflg,,Y,,
+,495987,100.0,shradrflg,,,N,
+,5536,1.12,ticker,,,,MKC
+,2773,0.56,ticker,,,,F
+,2770,0.56,ticker,,,,BBY
+,2769,0.56,ticker,,,,EOG
+,2769,0.56,ticker,,,,CTAS
+,2768,0.56,ticker,,,,ORCL
+,2768,0.56,ticker,,,,MS
+,2768,0.56,ticker,,,,NSC
+,2768,0.56,ticker,,,,KEY
+,2768,0.56,ticker,,,,VZ
+,2768,0.56,ticker,,,,T
+,2768,0.56,ticker,,,,USB
+,2768,0.56,ticker,,,,AIG
+,2768,0.56,ticker,,,,ECL
+,2768,0.56,ticker,,,,C
+,2768,0.56,ticker,,,,CSX
+,2768,0.56,ticker,,,,STT
+,2768,0.56,ticker,,,,SCHW
+,2768,0.56,ticker,,,,ADBE
+,2768,0.56,ticker,,,,VTR
diff --git a/notebooks/data/processed/date_univariate_year_counts.csv b/notebooks/data/processed/date_univariate_year_counts.csv
new file mode 100644
index 0000000..4bb55a5
--- /dev/null
+++ b/notebooks/data/processed/date_univariate_year_counts.csv
@@ -0,0 +1,12 @@
+year,row_count
+2014,44786
+2015,44499
+2016,44535
+2017,44428
+2018,44862
+2019,45360
+2020,45731
+2021,45443
+2022,45326
+2023,45194
+2024,45823
diff --git a/notebooks/data/processed/numeric_univariate_summary.csv b/notebooks/data/processed/numeric_univariate_summary.csv
new file mode 100644
index 0000000..197bdcc
--- /dev/null
+++ b/notebooks/data/processed/numeric_univariate_summary.csv
@@ -0,0 +1,16 @@
+,count,mean,std,min,1%,5%,25%,50%,75%,95%,99%,max,missing_count,missing_pct
+dlyclose,495710.0,160.1597645936132,281.336452279771,2.1,12.22,24.32,55.04,91.62,161.4575,466.5954999999999,1584.326399999999,5300.34,277,0.06
+dlyopen,495710.0,160.14400450606203,281.32409245205264,2.2,12.23,24.3,55.02,91.6,161.45,466.5909999999998,1583.609199999997,5300.0,277,0.06
+dlyhigh,495710.0,161.79216613370724,284.35532557508094,2.6,12.4,24.6,55.56,92.5,163.02,471.52549999999985,1598.971049999996,5337.24,277,0.06
+dlylow,495710.0,158.45774681259203,278.202185103799,1.93,12.06,24.0,54.5,90.68,159.86,461.5,1564.991899999972,5260.0,277,0.06
+dlyprc,495986.0,160.12633995052286,281.26303215302556,2.1,12.22,24.33,55.05,91.62,161.42,466.4175,1583.9945000000007,5300.34,1,0.0
+dlyret,495984.0,0.0005988226777476693,0.018232639198412913,-0.538647,-0.049261,-0.02575985,-0.007398,0.000757,0.008801,0.025916699999999952,0.04967667999999993,0.646465,3,0.0
+dlyretx,495984.0,0.0005085932288138326,0.01825544767223994,-0.538647,-0.04943017,-0.025914,-0.007513,0.00068,0.008735,0.025851849999999975,0.049602189999999886,0.646465,3,0.0
+dlyvol,495986.0,6450504.697392669,13088237.087469013,0.0,170897.50000000003,456500.25,1292173.75,2667740.0,6254771.25,24570391.25,60267657.800000004,657542346.0,1,0.0
+shrout,495987.0,1057451.7818430725,1747421.5351247515,9064.0,23827.0,91438.0,236145.0,457451.0,994127.0,4297435.0,8698115.0,24568840.0,0,0.0
+dlycap,495986.0,101967319.96419406,223487527.78803346,38249.4,3944609.1375000007,9853093.677499998,21856594.65,44457098.58,101278499.125,325328921.51250005,950857110.0,3915300473.46,1,0.0
+dlycumfacpr,495987.0,1.9849551244373045,5.27799877622808,0.202169669397,1.0,1.0,1.0,1.0,1.0,4.0,39.938,70.0,0,0.0
+dlycumfacshr,495987.0,1.9721296343855785,5.266150112109736,0.125,1.0,1.0,1.0,1.0,1.0,4.0,28.0,70.0,0,0.0
+sprtrn,495987.0,0.000479747836132802,0.01093421668573588,-0.119841,-0.032037,-0.016401,-0.00375,0.000648,0.005675,0.01527,0.025966,0.093828,0,0.0
+vwretd,495987.0,0.0004861167087040588,0.010793720463271955,-0.118168,-0.031351,-0.01622,-0.003839,0.000701,0.005654,0.015413,0.025437,0.091556,0,0.0
+ewretd,495987.0,0.00036144088655549436,0.010538132391307261,-0.107631,-0.026455,-0.015496,-0.004556,0.000711,0.00576,0.015483,0.024626,0.082175,0,0.0
diff --git a/notebooks/data/processed/schema_missingness_summary.csv b/notebooks/data/processed/schema_missingness_summary.csv
new file mode 100644
index 0000000..0daa96c
--- /dev/null
+++ b/notebooks/data/processed/schema_missingness_summary.csv
@@ -0,0 +1,28 @@
+column,dtype,missing_count,missing_pct,n_unique
+dlyclose,float64,277,0.06,63745
+dlyopen,float64,277,0.06,64679
+dlylow,float64,277,0.06,102406
+dlyhigh,float64,277,0.06,102668
+securitytype,object,0,0.0,1
+sharetype,object,0,0.0,1
+usincflg,object,0,0.0,1
+shradrflg,object,0,0.0,1
+dlycumfacshr,float64,0,0.0,16
+dlycumfacpr,float64,0,0.0,44
+siccd,int64,0,0.0,156
+ticker,object,0,0.0,185
+permco,int64,0,0.0,186
+permno,int64,0,0.0,188
+cusip,object,0,0.0,198
+naics,int64,0,0.0,201
+issuernm,object,0,0.0,204
+sprtrn,float64,0,0.0,2640
+vwretd,float64,0,0.0,2643
+ewretd,float64,0,0.0,2644
+dlycaldt,datetime64[ns],0,0.0,2768
+shrout,int64,0,0.0,11203
+dlyprc,float64,1,0.0,63856
+dlyret,float64,3,0.0,84346
+dlyretx,float64,3,0.0,84401
+dlycap,float64,1,0.0,477976
+dlyvol,float64,1,0.0,479794
diff --git a/notebooks/feature_eng_dasb.ipynb b/notebooks/feature_eng_dasb.ipynb
new file mode 100644
index 0000000..bda5081
--- /dev/null
+++ b/notebooks/feature_eng_dasb.ipynb
@@ -0,0 +1,1764 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "4c8ab29b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from pathlib import Path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "76e62bfc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Master panel exists? True\n",
+      "Shape: (479783, 27)\n",
+      "['permno', 'permco', 'ticker', 'cusip', 'issuernm', 'siccd', 'naics', 'dlyclose', 'dlyopen', 'dlyhigh', 'dlylow', 'dlyprc', 'dlyret', 'dlyretx', 'dlyvol', 'shrout', 'dlycap', 'sprtrn', 'vwretd', 'ewretd', 'date', 'quarter', 'numeric_transparency', 'analyst_selectivity_ratio', 'language_complexity', 'net_positivity', 'quarter_end']\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>permno</th>\n",
+       "      <th>permco</th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>cusip</th>\n",
+       "      <th>issuernm</th>\n",
+       "      <th>siccd</th>\n",
+       "      <th>naics</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>dlyopen</th>\n",
+       "      <th>dlyhigh</th>\n",
+       "      <th>...</th>\n",
+       "      <th>sprtrn</th>\n",
+       "      <th>vwretd</th>\n",
+       "      <th>ewretd</th>\n",
+       "      <th>date</th>\n",
+       "      <th>quarter</th>\n",
+       "      <th>numeric_transparency</th>\n",
+       "      <th>analyst_selectivity_ratio</th>\n",
+       "      <th>language_complexity</th>\n",
+       "      <th>net_positivity</th>\n",
+       "      <th>quarter_end</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.21</td>\n",
+       "      <td>57.10</td>\n",
+       "      <td>57.100</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.008862</td>\n",
+       "      <td>-0.008757</td>\n",
+       "      <td>-0.004051</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.92</td>\n",
+       "      <td>56.39</td>\n",
+       "      <td>57.345</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000333</td>\n",
+       "      <td>0.000491</td>\n",
+       "      <td>0.004096</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.64</td>\n",
+       "      <td>57.40</td>\n",
+       "      <td>57.700</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.002512</td>\n",
+       "      <td>-0.003340</td>\n",
+       "      <td>-0.001676</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>57.45</td>\n",
+       "      <td>56.95</td>\n",
+       "      <td>57.630</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.006082</td>\n",
+       "      <td>0.006090</td>\n",
+       "      <td>0.006892</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>58.39</td>\n",
+       "      <td>57.33</td>\n",
+       "      <td>58.540</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.000212</td>\n",
+       "      <td>0.000155</td>\n",
+       "      <td>0.000835</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaT</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 27 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   permno  permco ticker     cusip                  issuernm  siccd   naics  \\\n",
+       "0   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "1   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "2   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "3   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "4   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "\n",
+       "   dlyclose  dlyopen  dlyhigh  ...    sprtrn    vwretd    ewretd       date  \\\n",
+       "0     56.21    57.10   57.100  ... -0.008862 -0.008757 -0.004051 2014-01-02   \n",
+       "1     56.92    56.39   57.345  ... -0.000333  0.000491  0.004096 2014-01-03   \n",
+       "2     56.64    57.40   57.700  ... -0.002512 -0.003340 -0.001676 2014-01-06   \n",
+       "3     57.45    56.95   57.630  ...  0.006082  0.006090  0.006892 2014-01-07   \n",
+       "4     58.39    57.33   58.540  ... -0.000212  0.000155  0.000835 2014-01-08   \n",
+       "\n",
+       "   quarter  numeric_transparency  analyst_selectivity_ratio  \\\n",
+       "0     None                   NaN                        NaN   \n",
+       "1     None                   NaN                        NaN   \n",
+       "2     None                   NaN                        NaN   \n",
+       "3     None                   NaN                        NaN   \n",
+       "4     None                   NaN                        NaN   \n",
+       "\n",
+       "   language_complexity  net_positivity  quarter_end  \n",
+       "0                  NaN             NaN          NaT  \n",
+       "1                  NaN             NaN          NaT  \n",
+       "2                  NaN             NaN          NaT  \n",
+       "3                  NaN             NaN          NaT  \n",
+       "4                  NaN             NaN          NaT  \n",
+       "\n",
+       "[5 rows x 27 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Find project root\n",
+    "ROOT = Path.cwd()\n",
+    "if ROOT.name == \"notebooks\":\n",
+    "    ROOT = ROOT.parent\n",
+    "\n",
+    "PROCESSED = ROOT / \"data\" / \"processed\"\n",
+    "\n",
+    "master_path = PROCESSED / \"master_panel.parquet\"\n",
+    "\n",
+    "print(\"Master panel exists?\", master_path.exists())\n",
+    "\n",
+    "df = pd.read_parquet(master_path)\n",
+    "\n",
+    "print(\"Shape:\", df.shape)\n",
+    "print(df.columns.tolist())\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "0f20c039",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(479783, 27)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  ticker       date\n",
+       "0      A 2014-01-02\n",
+       "1      A 2014-01-03\n",
+       "2      A 2014-01-06\n",
+       "3      A 2014-01-07\n",
+       "4      A 2014-01-08"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Standardize ticker and dates again just to be safe\n",
+    "df[\"ticker\"] = df[\"ticker\"].astype(str).str.upper().str.strip()\n",
+    "df[\"date\"] = pd.to_datetime(df[\"date\"], errors=\"coerce\")\n",
+    "df[\"quarter_end\"] = pd.to_datetime(df[\"quarter_end\"], errors=\"coerce\")\n",
+    "\n",
+    "# Sort for rolling/group operations\n",
+    "df = df.sort_values([\"ticker\", \"date\"]).reset_index(drop=True)\n",
+    "\n",
+    "# Keep only rows with valid ticker/date\n",
+    "df = df.dropna(subset=[\"ticker\", \"date\"]).copy()\n",
+    "\n",
+    "print(df.shape)\n",
+    "df[[\"ticker\", \"date\"]].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "ad9c525a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>ret_5d</th>\n",
+       "      <th>ret_20d</th>\n",
+       "      <th>ret_60d</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>56.21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>56.92</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>56.64</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>57.45</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "      <td>58.39</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-09</td>\n",
+       "      <td>58.41</td>\n",
+       "      <td>0.039139</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-10</td>\n",
+       "      <td>58.93</td>\n",
+       "      <td>0.035313</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-13</td>\n",
+       "      <td>58.93</td>\n",
+       "      <td>0.040431</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-14</td>\n",
+       "      <td>59.88</td>\n",
+       "      <td>0.042298</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-15</td>\n",
+       "      <td>60.34</td>\n",
+       "      <td>0.033396</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  ticker       date  dlyclose    ret_5d  ret_20d  ret_60d\n",
+       "0      A 2014-01-02     56.21       NaN      NaN      NaN\n",
+       "1      A 2014-01-03     56.92       NaN      NaN      NaN\n",
+       "2      A 2014-01-06     56.64       NaN      NaN      NaN\n",
+       "3      A 2014-01-07     57.45       NaN      NaN      NaN\n",
+       "4      A 2014-01-08     58.39       NaN      NaN      NaN\n",
+       "5      A 2014-01-09     58.41  0.039139      NaN      NaN\n",
+       "6      A 2014-01-10     58.93  0.035313      NaN      NaN\n",
+       "7      A 2014-01-13     58.93  0.040431      NaN      NaN\n",
+       "8      A 2014-01-14     59.88  0.042298      NaN      NaN\n",
+       "9      A 2014-01-15     60.34  0.033396      NaN      NaN"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Return-based momentum features\n",
+    "df[\"ret_5d\"] = df.groupby(\"ticker\")[\"dlyclose\"].transform(lambda s: s / s.shift(5) - 1)\n",
+    "df[\"ret_20d\"] = df.groupby(\"ticker\")[\"dlyclose\"].transform(lambda s: s / s.shift(20) - 1)\n",
+    "df[\"ret_60d\"] = df.groupby(\"ticker\")[\"dlyclose\"].transform(lambda s: s / s.shift(60) - 1)\n",
+    "\n",
+    "df[[\"ticker\", \"date\", \"dlyclose\", \"ret_5d\", \"ret_20d\", \"ret_60d\"]].head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "bf238263",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>dlyret</th>\n",
+       "      <th>vol_20d</th>\n",
+       "      <th>vol_60d</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>-0.017136</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>0.012631</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>-0.004919</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>0.014301</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "      <td>0.016362</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-09</td>\n",
+       "      <td>0.000343</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-10</td>\n",
+       "      <td>0.008903</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-13</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-14</td>\n",
+       "      <td>0.016121</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-15</td>\n",
+       "      <td>0.007682</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  ticker       date    dlyret  vol_20d  vol_60d\n",
+       "0      A 2014-01-02 -0.017136      NaN      NaN\n",
+       "1      A 2014-01-03  0.012631      NaN      NaN\n",
+       "2      A 2014-01-06 -0.004919      NaN      NaN\n",
+       "3      A 2014-01-07  0.014301      NaN      NaN\n",
+       "4      A 2014-01-08  0.016362      NaN      NaN\n",
+       "5      A 2014-01-09  0.000343      NaN      NaN\n",
+       "6      A 2014-01-10  0.008903      NaN      NaN\n",
+       "7      A 2014-01-13  0.000000      NaN      NaN\n",
+       "8      A 2014-01-14  0.016121      NaN      NaN\n",
+       "9      A 2014-01-15  0.007682      NaN      NaN"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Rolling volatility using daily return\n",
+    "df[\"vol_20d\"] = df.groupby(\"ticker\")[\"dlyret\"].transform(lambda s: s.rolling(20).std())\n",
+    "df[\"vol_60d\"] = df.groupby(\"ticker\")[\"dlyret\"].transform(lambda s: s.rolling(60).std())\n",
+    "\n",
+    "df[[\"ticker\", \"date\", \"dlyret\", \"vol_20d\", \"vol_60d\"]].head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "8b5f4ab6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>dlyvol</th>\n",
+       "      <th>avg_volume_20d</th>\n",
+       "      <th>relative_volume</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>1916200.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>1866700.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>1777500.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>1463200.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "      <td>2659500.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-09</td>\n",
+       "      <td>1757600.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-10</td>\n",
+       "      <td>1623300.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-13</td>\n",
+       "      <td>2946700.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-14</td>\n",
+       "      <td>2562200.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-15</td>\n",
+       "      <td>2335200.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  ticker       date     dlyvol  avg_volume_20d  relative_volume\n",
+       "0      A 2014-01-02  1916200.0             NaN              NaN\n",
+       "1      A 2014-01-03  1866700.0             NaN              NaN\n",
+       "2      A 2014-01-06  1777500.0             NaN              NaN\n",
+       "3      A 2014-01-07  1463200.0             NaN              NaN\n",
+       "4      A 2014-01-08  2659500.0             NaN              NaN\n",
+       "5      A 2014-01-09  1757600.0             NaN              NaN\n",
+       "6      A 2014-01-10  1623300.0             NaN              NaN\n",
+       "7      A 2014-01-13  2946700.0             NaN              NaN\n",
+       "8      A 2014-01-14  2562200.0             NaN              NaN\n",
+       "9      A 2014-01-15  2335200.0             NaN              NaN"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Volume features\n",
+    "df[\"avg_volume_20d\"] = df.groupby(\"ticker\")[\"dlyvol\"].transform(lambda s: s.rolling(20).mean())\n",
+    "df[\"relative_volume\"] = df[\"dlyvol\"] / df[\"avg_volume_20d\"]\n",
+    "\n",
+    "df[[\"ticker\", \"date\", \"dlyvol\", \"avg_volume_20d\", \"relative_volume\"]].head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "e0615ef4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>quarter</th>\n",
+       "      <th>quarter_end</th>\n",
+       "      <th>net_positivity</th>\n",
+       "      <th>numeric_transparency</th>\n",
+       "      <th>language_complexity</th>\n",
+       "      <th>analyst_selectivity_ratio</th>\n",
+       "      <th>positivity_delta</th>\n",
+       "      <th>transparency_delta</th>\n",
+       "      <th>complexity_delta</th>\n",
+       "      <th>selectivity_delta</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>A</td>\n",
+       "      <td>CQ12014</td>\n",
+       "      <td>2014-03-31</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>2.67</td>\n",
+       "      <td>11.32</td>\n",
+       "      <td>64.71</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>123</th>\n",
+       "      <td>A</td>\n",
+       "      <td>CQ22014</td>\n",
+       "      <td>2014-06-30</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>11.64</td>\n",
+       "      <td>50.00</td>\n",
+       "      <td>0.45</td>\n",
+       "      <td>-0.77</td>\n",
+       "      <td>0.32</td>\n",
+       "      <td>-14.71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>187</th>\n",
+       "      <td>A</td>\n",
+       "      <td>CQ32014</td>\n",
+       "      <td>2014-09-30</td>\n",
+       "      <td>0.97</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>11.91</td>\n",
+       "      <td>78.57</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>0.29</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>28.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>251</th>\n",
+       "      <td>A</td>\n",
+       "      <td>CQ42014</td>\n",
+       "      <td>2014-12-31</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>3.05</td>\n",
+       "      <td>12.15</td>\n",
+       "      <td>64.29</td>\n",
+       "      <td>-0.22</td>\n",
+       "      <td>0.86</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>-14.28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>312</th>\n",
+       "      <td>A</td>\n",
+       "      <td>CQ12015</td>\n",
+       "      <td>2015-03-31</td>\n",
+       "      <td>0.93</td>\n",
+       "      <td>1.96</td>\n",
+       "      <td>12.42</td>\n",
+       "      <td>75.00</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>-1.09</td>\n",
+       "      <td>0.27</td>\n",
+       "      <td>10.71</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    ticker  quarter quarter_end  net_positivity  numeric_transparency  \\\n",
+       "60       A  CQ12014  2014-03-31            0.25                  2.67   \n",
+       "123      A  CQ22014  2014-06-30            0.70                  1.90   \n",
+       "187      A  CQ32014  2014-09-30            0.97                  2.19   \n",
+       "251      A  CQ42014  2014-12-31            0.75                  3.05   \n",
+       "312      A  CQ12015  2015-03-31            0.93                  1.96   \n",
+       "\n",
+       "     language_complexity  analyst_selectivity_ratio  positivity_delta  \\\n",
+       "60                 11.32                      64.71               NaN   \n",
+       "123                11.64                      50.00              0.45   \n",
+       "187                11.91                      78.57              0.27   \n",
+       "251                12.15                      64.29             -0.22   \n",
+       "312                12.42                      75.00              0.18   \n",
+       "\n",
+       "     transparency_delta  complexity_delta  selectivity_delta  \n",
+       "60                  NaN               NaN                NaN  \n",
+       "123               -0.77              0.32             -14.71  \n",
+       "187                0.29              0.27              28.57  \n",
+       "251                0.86              0.24             -14.28  \n",
+       "312               -1.09              0.27              10.71  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# First create a quarter-level view for transcript deltas\n",
+    "quarter_df = (\n",
+    "    df[[\"ticker\", \"quarter\", \"quarter_end\",\n",
+    "        \"net_positivity\", \"numeric_transparency\",\n",
+    "        \"language_complexity\", \"analyst_selectivity_ratio\"]]\n",
+    "    .drop_duplicates(subset=[\"ticker\", \"quarter_end\"])\n",
+    "    .sort_values([\"ticker\", \"quarter_end\"])\n",
+    "    .copy()\n",
+    ")\n",
+    "\n",
+    "quarter_df[\"positivity_delta\"] = quarter_df.groupby(\"ticker\")[\"net_positivity\"].diff()\n",
+    "quarter_df[\"transparency_delta\"] = quarter_df.groupby(\"ticker\")[\"numeric_transparency\"].diff()\n",
+    "quarter_df[\"complexity_delta\"] = quarter_df.groupby(\"ticker\")[\"language_complexity\"].diff()\n",
+    "quarter_df[\"selectivity_delta\"] = quarter_df.groupby(\"ticker\")[\"analyst_selectivity_ratio\"].diff()\n",
+    "\n",
+    "quarter_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "414e08dc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>quarter_end</th>\n",
+       "      <th>positivity_delta</th>\n",
+       "      <th>transparency_delta</th>\n",
+       "      <th>complexity_delta</th>\n",
+       "      <th>selectivity_delta</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-09</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-10</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-13</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-14</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-15</td>\n",
+       "      <td>NaT</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  ticker       date quarter_end  positivity_delta  transparency_delta  \\\n",
+       "0      A 2014-01-02         NaT               NaN                 NaN   \n",
+       "1      A 2014-01-03         NaT               NaN                 NaN   \n",
+       "2      A 2014-01-06         NaT               NaN                 NaN   \n",
+       "3      A 2014-01-07         NaT               NaN                 NaN   \n",
+       "4      A 2014-01-08         NaT               NaN                 NaN   \n",
+       "5      A 2014-01-09         NaT               NaN                 NaN   \n",
+       "6      A 2014-01-10         NaT               NaN                 NaN   \n",
+       "7      A 2014-01-13         NaT               NaN                 NaN   \n",
+       "8      A 2014-01-14         NaT               NaN                 NaN   \n",
+       "9      A 2014-01-15         NaT               NaN                 NaN   \n",
+       "\n",
+       "   complexity_delta  selectivity_delta  \n",
+       "0               NaN                NaN  \n",
+       "1               NaN                NaN  \n",
+       "2               NaN                NaN  \n",
+       "3               NaN                NaN  \n",
+       "4               NaN                NaN  \n",
+       "5               NaN                NaN  \n",
+       "6               NaN                NaN  \n",
+       "7               NaN                NaN  \n",
+       "8               NaN                NaN  \n",
+       "9               NaN                NaN  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Merge quarter-level delta features back into daily dataset\n",
+    "delta_cols = [\n",
+    "    \"ticker\", \"quarter_end\",\n",
+    "    \"positivity_delta\",\n",
+    "    \"transparency_delta\",\n",
+    "    \"complexity_delta\",\n",
+    "    \"selectivity_delta\"\n",
+    "]\n",
+    "\n",
+    "df = df.merge(\n",
+    "    quarter_df[delta_cols],\n",
+    "    on=[\"ticker\", \"quarter_end\"],\n",
+    "    how=\"left\"\n",
+    ")\n",
+    "\n",
+    "df[[\n",
+    "    \"ticker\", \"date\", \"quarter_end\",\n",
+    "    \"positivity_delta\", \"transparency_delta\",\n",
+    "    \"complexity_delta\", \"selectivity_delta\"\n",
+    "]].head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "f78524a2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>date</th>\n",
+       "      <th>credibility_score</th>\n",
+       "      <th>risk_score</th>\n",
+       "      <th>misalignment_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-02</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-03</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-08</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-09</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-10</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-13</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-14</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>A</td>\n",
+       "      <td>2014-01-15</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  ticker       date  credibility_score  risk_score  misalignment_score\n",
+       "0      A 2014-01-02                0.0         0.0                 0.0\n",
+       "1      A 2014-01-03                0.0         0.0                 0.0\n",
+       "2      A 2014-01-06                0.0         0.0                 0.0\n",
+       "3      A 2014-01-07                0.0         0.0                 0.0\n",
+       "4      A 2014-01-08                0.0         0.0                 0.0\n",
+       "5      A 2014-01-09                0.0         0.0                 0.0\n",
+       "6      A 2014-01-10                0.0         0.0                 0.0\n",
+       "7      A 2014-01-13                0.0         0.0                 0.0\n",
+       "8      A 2014-01-14                0.0         0.0                 0.0\n",
+       "9      A 2014-01-15                0.0         0.0                 0.0"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Fill key features temporarily for score construction\n",
+    "df[\"net_positivity_filled\"] = df[\"net_positivity\"].fillna(0)\n",
+    "df[\"numeric_transparency_filled\"] = df[\"numeric_transparency\"].fillna(0)\n",
+    "df[\"language_complexity_filled\"] = df[\"language_complexity\"].fillna(0)\n",
+    "df[\"ret_20d_filled\"] = df[\"ret_20d\"].fillna(0)\n",
+    "df[\"vol_20d_filled\"] = df[\"vol_20d\"].fillna(0)\n",
+    "\n",
+    "# 1. Credibility score\n",
+    "df[\"credibility_score\"] = (\n",
+    "    0.4 * df[\"net_positivity_filled\"] +\n",
+    "    0.4 * df[\"numeric_transparency_filled\"] -\n",
+    "    0.2 * df[\"language_complexity_filled\"]\n",
+    ")\n",
+    "\n",
+    "# 2. Risk score\n",
+    "df[\"risk_score\"] = (\n",
+    "    df[\"vol_20d_filled\"] +\n",
+    "    0.5 * df[\"language_complexity_filled\"] -\n",
+    "    0.5 * df[\"ret_20d_filled\"]\n",
+    ")\n",
+    "\n",
+    "# 3. Misalignment score\n",
+    "df[\"misalignment_score\"] = (\n",
+    "    df[\"net_positivity_filled\"] - df[\"ret_20d_filled\"]\n",
+    ")\n",
+    "\n",
+    "df[[\n",
+    "    \"ticker\", \"date\",\n",
+    "    \"credibility_score\", \"risk_score\", \"misalignment_score\"\n",
+    "]].head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "905851c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "helper_cols = [\n",
+    "    \"net_positivity_filled\",\n",
+    "    \"numeric_transparency_filled\",\n",
+    "    \"language_complexity_filled\",\n",
+    "    \"ret_20d_filled\",\n",
+    "    \"vol_20d_filled\"\n",
+    "]\n",
+    "\n",
+    "df = df.drop(columns=helper_cols, errors=\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "adc19939",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Final shape: (479783, 45)\n",
+      "  ticker       date    ret_5d  ret_20d  ret_60d  vol_20d  vol_60d  \\\n",
+      "0      A 2014-01-02       NaN      NaN      NaN      NaN      NaN   \n",
+      "1      A 2014-01-03       NaN      NaN      NaN      NaN      NaN   \n",
+      "2      A 2014-01-06       NaN      NaN      NaN      NaN      NaN   \n",
+      "3      A 2014-01-07       NaN      NaN      NaN      NaN      NaN   \n",
+      "4      A 2014-01-08       NaN      NaN      NaN      NaN      NaN   \n",
+      "5      A 2014-01-09  0.039139      NaN      NaN      NaN      NaN   \n",
+      "6      A 2014-01-10  0.035313      NaN      NaN      NaN      NaN   \n",
+      "7      A 2014-01-13  0.040431      NaN      NaN      NaN      NaN   \n",
+      "8      A 2014-01-14  0.042298      NaN      NaN      NaN      NaN   \n",
+      "9      A 2014-01-15  0.033396      NaN      NaN      NaN      NaN   \n",
+      "\n",
+      "   relative_volume  positivity_delta  transparency_delta  complexity_delta  \\\n",
+      "0              NaN               NaN                 NaN               NaN   \n",
+      "1              NaN               NaN                 NaN               NaN   \n",
+      "2              NaN               NaN                 NaN               NaN   \n",
+      "3              NaN               NaN                 NaN               NaN   \n",
+      "4              NaN               NaN                 NaN               NaN   \n",
+      "5              NaN               NaN                 NaN               NaN   \n",
+      "6              NaN               NaN                 NaN               NaN   \n",
+      "7              NaN               NaN                 NaN               NaN   \n",
+      "8              NaN               NaN                 NaN               NaN   \n",
+      "9              NaN               NaN                 NaN               NaN   \n",
+      "\n",
+      "   selectivity_delta  credibility_score  risk_score  misalignment_score  \n",
+      "0                NaN                0.0         0.0                 0.0  \n",
+      "1                NaN                0.0         0.0                 0.0  \n",
+      "2                NaN                0.0         0.0                 0.0  \n",
+      "3                NaN                0.0         0.0                 0.0  \n",
+      "4                NaN                0.0         0.0                 0.0  \n",
+      "5                NaN                0.0         0.0                 0.0  \n",
+      "6                NaN                0.0         0.0                 0.0  \n",
+      "7                NaN                0.0         0.0                 0.0  \n",
+      "8                NaN                0.0         0.0                 0.0  \n",
+      "9                NaN                0.0         0.0                 0.0  \n",
+      "\n",
+      "Missing values in new columns:\n",
+      "ticker                    0\n",
+      "date                      0\n",
+      "ret_5d                  904\n",
+      "ret_20d                3604\n",
+      "ret_60d               10804\n",
+      "vol_20d                3441\n",
+      "vol_60d               10681\n",
+      "relative_volume        3440\n",
+      "positivity_delta      24123\n",
+      "transparency_delta    24123\n",
+      "complexity_delta      24123\n",
+      "selectivity_delta     23742\n",
+      "credibility_score         0\n",
+      "risk_score                0\n",
+      "misalignment_score        0\n",
+      "dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Final shape:\", df.shape)\n",
+    "\n",
+    "check_cols = [\n",
+    "    \"ticker\", \"date\",\n",
+    "    \"ret_5d\", \"ret_20d\", \"ret_60d\",\n",
+    "    \"vol_20d\", \"vol_60d\",\n",
+    "    \"relative_volume\",\n",
+    "    \"positivity_delta\", \"transparency_delta\",\n",
+    "    \"complexity_delta\", \"selectivity_delta\",\n",
+    "    \"credibility_score\", \"risk_score\", \"misalignment_score\"\n",
+    "]\n",
+    "\n",
+    "available_check_cols = [c for c in check_cols if c in df.columns]\n",
+    "\n",
+    "print(df[available_check_cols].head(10))\n",
+    "print(\"\\nMissing values in new columns:\")\n",
+    "print(df[available_check_cols].isna().sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "54a4c46e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saved feature dataset to:\n",
+      "c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\\master_panel_features.parquet\n"
+     ]
+    }
+   ],
+   "source": [
+    "output_path = PROCESSED / \"master_panel_features.parquet\"\n",
+    "df.to_parquet(output_path, index=False)\n",
+    "\n",
+    "print(\"Saved feature dataset to:\")\n",
+    "print(output_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "69addbee",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(479783, 45)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>permno</th>\n",
+       "      <th>permco</th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>cusip</th>\n",
+       "      <th>issuernm</th>\n",
+       "      <th>siccd</th>\n",
+       "      <th>naics</th>\n",
+       "      <th>dlyclose</th>\n",
+       "      <th>dlyopen</th>\n",
+       "      <th>dlyhigh</th>\n",
+       "      <th>...</th>\n",
+       "      <th>numeric_transparency_delta</th>\n",
+       "      <th>language_complexity_delta</th>\n",
+       "      <th>analyst_selectivity_ratio_delta</th>\n",
+       "      <th>positivity_delta</th>\n",
+       "      <th>transparency_delta</th>\n",
+       "      <th>complexity_delta</th>\n",
+       "      <th>selectivity_delta</th>\n",
+       "      <th>credibility_score</th>\n",
+       "      <th>risk_score</th>\n",
+       "      <th>misalignment_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.21</td>\n",
+       "      <td>57.10</td>\n",
+       "      <td>57.100</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.92</td>\n",
+       "      <td>56.39</td>\n",
+       "      <td>57.345</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>56.64</td>\n",
+       "      <td>57.40</td>\n",
+       "      <td>57.700</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>57.45</td>\n",
+       "      <td>56.95</td>\n",
+       "      <td>57.630</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>87432</td>\n",
+       "      <td>36364</td>\n",
+       "      <td>A</td>\n",
+       "      <td>00846U10</td>\n",
+       "      <td>AGILENT TECHNOLOGIES INC</td>\n",
+       "      <td>3825</td>\n",
+       "      <td>334515</td>\n",
+       "      <td>58.39</td>\n",
+       "      <td>57.33</td>\n",
+       "      <td>58.540</td>\n",
+       "      <td>...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 45 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   permno  permco ticker     cusip                  issuernm  siccd   naics  \\\n",
+       "0   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "1   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "2   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "3   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "4   87432   36364      A  00846U10  AGILENT TECHNOLOGIES INC   3825  334515   \n",
+       "\n",
+       "   dlyclose  dlyopen  dlyhigh  ...  numeric_transparency_delta  \\\n",
+       "0     56.21    57.10   57.100  ...                         NaN   \n",
+       "1     56.92    56.39   57.345  ...                         NaN   \n",
+       "2     56.64    57.40   57.700  ...                         NaN   \n",
+       "3     57.45    56.95   57.630  ...                         NaN   \n",
+       "4     58.39    57.33   58.540  ...                         NaN   \n",
+       "\n",
+       "   language_complexity_delta  analyst_selectivity_ratio_delta  \\\n",
+       "0                        NaN                              NaN   \n",
+       "1                        NaN                              NaN   \n",
+       "2                        NaN                              NaN   \n",
+       "3                        NaN                              NaN   \n",
+       "4                        NaN                              NaN   \n",
+       "\n",
+       "   positivity_delta  transparency_delta  complexity_delta  selectivity_delta  \\\n",
+       "0               NaN                 NaN               NaN                NaN   \n",
+       "1               NaN                 NaN               NaN                NaN   \n",
+       "2               NaN                 NaN               NaN                NaN   \n",
+       "3               NaN                 NaN               NaN                NaN   \n",
+       "4               NaN                 NaN               NaN                NaN   \n",
+       "\n",
+       "   credibility_score  risk_score  misalignment_score  \n",
+       "0                0.0         0.0                 0.0  \n",
+       "1                0.0         0.0                 0.0  \n",
+       "2                0.0         0.0                 0.0  \n",
+       "3                0.0         0.0                 0.0  \n",
+       "4                0.0         0.0                 0.0  \n",
+       "\n",
+       "[5 rows x 45 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_df = pd.read_parquet(output_path)\n",
+    "print(test_df.shape)\n",
+    "test_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "c60ca1fa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Saved cleaned feature dataset to:\n",
+      "c:\\Users\\mkp22\\OneDrive\\Desktop\\FA Project\\FA-Project\\data\\processed\\master_panel_features.parquet\n",
+      "New shape: (479783, 41)\n",
+      "['permno', 'permco', 'ticker', 'cusip', 'issuernm', 'siccd', 'naics', 'dlyclose', 'dlyopen', 'dlyhigh', 'dlylow', 'dlyprc', 'dlyret', 'dlyretx', 'dlyvol', 'shrout', 'dlycap', 'sprtrn', 'vwretd', 'ewretd', 'date', 'quarter', 'numeric_transparency', 'analyst_selectivity_ratio', 'language_complexity', 'net_positivity', 'quarter_end', 'ret_5d', 'ret_20d', 'ret_60d', 'vol_20d', 'vol_60d', 'avg_volume_20d', 'relative_volume', 'positivity_delta', 'transparency_delta', 'complexity_delta', 'selectivity_delta', 'credibility_score', 'risk_score', 'misalignment_score']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Drop duplicate delta columns\n",
+    "drop_cols = [\n",
+    "    \"net_positivity_delta\",\n",
+    "    \"numeric_transparency_delta\",\n",
+    "    \"language_complexity_delta\",\n",
+    "    \"analyst_selectivity_ratio_delta\",\n",
+    "]\n",
+    "\n",
+    "df = df.drop(columns=[c for c in drop_cols if c in df.columns], errors=\"ignore\")\n",
+    "\n",
+    "# Optional: make scores NaN when transcript data is missing\n",
+    "missing_transcript_mask = df[\n",
+    "    [\"net_positivity\", \"numeric_transparency\", \"language_complexity\", \"analyst_selectivity_ratio\"]\n",
+    "].isna().all(axis=1)\n",
+    "\n",
+    "df.loc[missing_transcript_mask, [\"credibility_score\", \"misalignment_score\"]] = np.nan\n",
+    "\n",
+    "# For risk_score, keep it if you want it partly market-based,\n",
+    "# or also null it out if you want transcript-dependent interpretation:\n",
+    "# df.loc[missing_transcript_mask, [\"risk_score\"]] = np.nan\n",
+    "\n",
+    "# Save cleaned version again\n",
+    "output_path = PROCESSED / \"master_panel_features.parquet\"\n",
+    "df.to_parquet(output_path, index=False)\n",
+    "\n",
+    "print(\"Saved cleaned feature dataset to:\")\n",
+    "print(output_path)\n",
+    "print(\"New shape:\", df.shape)\n",
+    "print(df.columns.tolist())"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}