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# Core ML/AI frameworks torch>=2.0.0 transformers>=4.30.0 numpy>=1.21.0 pandas>=1.3.0 # Financial data yfinance>=0.2.0 # Additional utilities requests>=2.25.0 urllib3>=1.26.0 scipy>=1.7.0 scikit-learn>=1.0.0 # Optional: for enhanced performance accelerate>=0.20.0 tokenizers>=0.13.0 # Development and logging tqdm>=4.62.0 python-dateutil>=2.8.0 # Optional: for Jupyter notebooks jupyter>=1.0.0 matplotlib>=3.5.0 seaborn>=0.11.0 plotly>=5.0.0 # Optional: for advanced financial analysis ta-lib>=0.4.0 mplfinance>=0.12.0 quantlib>=1.26.0 # Optional: for database storage sqlalchemy>=1.4.0 sqlite3 # Optional: for web interface flask>=2.0.0 fastapi>=0.70.0 uvicorn>=0.15.0 # Optional: for production deployment gunicorn>=20.1.0 redis>=4.0.0 celery>=5.2.0 |