requirements.txt

# 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