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AlphaPy is a Python-based AutoML framework tailored for trading systems and sports betting applications. Built on popular libraries like scikit-learn and pandas, it enables data scientists and speculators to craft predictive models, ensemble strategies, and automated forecasting systems with minimal setup. Run machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost. Generate blended or stacked ensembles. Create models for analyzing the markets with MarketFlow. Develop trading systems and analyze portfolios using MarketFlow and Quantopian's pyfolio.
Features
- Leverages models from scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
- Supports model stacking and blending ensembles for robust predictions
- Includes domain-specific modules for markets (MarketFlow) and sports (SportFlow)
- Portfolio analytics capabilities using Quantopian's pyfolio
- Convenient CLI for simplified usage
- Permissively licensed with ongoing documentation and community support
Project Samples
Categories
Algorithmic TradingLicense
Apache License V2.0Follow AlphaPy
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