End-to-End Python Framework for Algorithmic Trading: Backtesting, ML Alpha, Live Execution & Automation
Project description
PyFundLib ⚡
The most powerful, modern, and production-ready Python framework for algorithmic trading & ML alpha
From backtesting RSI mean-reversion to running 24/7 autonomous LSTM-powered live trading — all with a clean, type-annotated, zero-boilerplate API.
Built by a quant. For quants who refuse to compromise.
Clean API • Institutional MLOps • Zero Boilerplate • Real Edge
Why PyFundLib Dominates
| Feature | PyFundLib | Backtrader • VectorBT • Others |
|---|---|---|
| Published on PyPI | Yes pip install pyfundlib |
No |
Modern src/ layout + full typing |
Yes | Rarely |
| Built-in ML (LSTM • XGBoost • RF) | Yes Full pipelines + MLflow + versioning | No |
| Multi-broker live execution | Alpaca • Zerodha • IBKR • Binance | Partial |
| Zstd Parquet caching + metadata | Yes Automatic | No |
| One-liner equity curves & reports | Yes Gorgeous out-of-the-box | Manual |
| CLI + scheduler + auto-retrain | Yes pyfundlib live |
No |
| Dry-run by default | Yes No accidental nuclear launches | Risky |
Installation
pip install pyfundlib
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