- Added MLFilter class to load and evaluate LightGBM model for trading signals. - Introduced retraining mechanism to update the model daily based on new data. - Created feature engineering and label building utilities for model training. - Updated bot logic to incorporate ML filter for signal validation. - Added scripts for data fetching and model training. Made-with: Cursor
15 lines
241 B
Plaintext
15 lines
241 B
Plaintext
python-binance==1.0.19
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pandas>=2.3.2
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pandas-ta==0.4.71b0
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python-dotenv==1.0.0
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httpx>=0.27.0
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pytest>=8.1.0
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pytest-asyncio>=0.24.0
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aiohttp==3.9.3
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websockets==12.0
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loguru==0.7.2
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lightgbm>=4.3.0
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scikit-learn>=1.4.0
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joblib>=1.3.0
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pyarrow>=15.0.0
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