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requirements.txt
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58 lines (47 loc) · 1012 Bytes
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# =============================================================================
# INSTITUTIONAL-GRADE TRADING ENGINE - DEPENDENCIES
# =============================================================================
# Core Scientific Computing
numpy>=1.24.0
pandas>=2.0.0
scipy>=1.10.0
numba>=0.57.0
# Technical Analysis
TA-Lib>=0.4.28
# Machine Learning - Classical
scikit-learn>=1.3.0
xgboost>=2.0.0
lightgbm>=4.0.0
catboost>=1.2.0
transformers>=4.30.0
# Backtesting & Portfolio
vectorbt>=0.26.0
# Data Sources
yfinance>=0.2.28
alpha-vantage>=2.3.1
requests>=2.31.0
aiohttp>=3.8.0
# Alternative Data Sources
praw>=7.7.0 # Reddit API
# Sentiment Analysis / NLP
nltk>=3.8.0
textblob>=0.17.0
vaderSentiment>=3.3.2
newspaper3k>=0.2.8
beautifulsoup4>=4.12.0
feedparser>=6.0.0
gnews>=0.3.0
# Visualization
plotly>=5.15.0
matplotlib>=3.7.0
seaborn>=0.12.0
anywidget>=0.9.0
# Utilities
python-dotenv>=1.0.0
pyyaml>=6.0.0
joblib>=1.3.0
tqdm>=4.65.0
loguru>=0.7.0
# Date/Time
python-dateutil>=2.8.0
pytz>=2023.3