ML for Trading

Popular repositories Loading

1. data data Public

   Market data acquisition, storage, and update workflows for machine learning for trading.

   Python 50 25

2. diagnostic diagnostic Public

   Signal diagnostics, statistical validation, and backtest evaluation for quantitative trading workflows.

   Python 32 20

3. backtest backtest Public

   Event-driven backtesting for quantitative strategies with configurable execution, accounting, risk, and framework-parity validation.

   Python 28 23

4. engineer engineer Public

   Feature engineering, labeling, alternative bars, and leakage-safe datasets for financial ML.

   Python 23 17

5. live live Public

   Live trading runtime for ML4T strategies with broker integrations, risk checks, and shadow mode.

   Python 22 17

6. skills skills Public

   Agent skills for Machine Learning for Algorithmic Trading: leakage-safe quant ML, backtesting, validation, and autonomous research workflows.

   Python 19 9