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ETH-predictor

This script is the main entry point of an ETH (Ethereum) price prediction system built with machine learning to forecast price movements and interpret market signals.

Key Features

  1. Price Prediction (default mode)

Uses a pre-trained model to predict ETH price trends

Analyzes contributing factors and classifies them as bullish, bearish, or neutral

Saves prediction results in JSON format

  1. Model Training (--train)

Trains a new machine learning model using historical data

Exports the trained model as eth_model.pkl

  1. Feature Analysis (--analyze)

Ranks feature importance across indicators

Visualizes the top 20 most influential features using a bar chart

Prediction Features

The model integrates three major data categories:

Technical indicators: RSI, MACD, Bollinger Bands, ATR, OBV, Momentum, Volatility

Market sentiment: Fear & Greed Index, Funding Rate, Long/Short Ratio

Whale activity: Large Transactions, Whale Direction, Exchange Flow

About

This is the main program of an ETH (Ethereum) price prediction system using machine learning. It predicts price trends with a trained model, analyzes bullish, bearish, and neutral factors, and saves results as JSON. It also supports model training and feature importance analysis.

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