A comprehensive stock analysis pipeline for data processing, feature engineering, and modeling.
stock/
├── main.py # Main entry point
└── pipeline/ # Pipeline modules
├── __init__.py
├── backtest.py # Backtesting functionality
├── config.py # Configuration management
├── datasets.py # Dataset handling
├── features.py # Feature engineering
├── modeling.py # Machine learning models
├── pipeline.py # Main pipeline logic
├── regime.py # Market regime analysis
├── splits.py # Data splitting utilities
├── ssl.py # Self-supervised learning
└── utils.py # Utility functions
- Data preprocessing and cleaning
- Feature engineering for financial data
- Machine learning model training
- Backtesting capabilities
- Market regime analysis
- Self-supervised learning approaches
python main.py- Python 3.7+
- See requirements.txt for dependencies