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@ml4t

ML for Trading

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  1. data data Public

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

    Python 57 28

  2. diagnostic diagnostic Public

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

    Python 41 25

  3. backtest backtest Public

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

    Python 40 26

  4. skills skills Public

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

    Python 38 13

  5. engineer engineer Public

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

    Python 29 20

  6. live live Public

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

    Python 24 20

Repositories

Showing 10 of 12 repositories
  • diagnostic Public

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

    ml4t/diagnostic's past year of commit activity
    Python 41 MIT 25 2 0 Updated Nov 1, 2026
  • models Public

    Finance-specific models for asset pricing, prediction, and portfolio learning.

    ml4t/models's past year of commit activity
    Python 19 MIT 14 0 0 Updated Nov 2, 2026
  • skills Public

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

    ml4t/skills's past year of commit activity
    Python 38 Apache-2.0 13 0 2 Updated Nov 1, 2026
  • ecosystem Public

    Shared standards, qualification evidence, and workflow management for ML4T libraries

    ml4t/ecosystem's past year of commit activity
    Python 6 MIT 4 3 0 Updated Oct 30, 2026
  • engineer Public

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

    ml4t/engineer's past year of commit activity
    Python 29 MIT 20 0 0 Updated Oct 30, 2026
  • backtest Public

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

    ml4t/backtest's past year of commit activity
    Python 40 MIT 26 0 0 Updated Oct 31, 2026
  • data Public

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

    ml4t/data's past year of commit activity
    Python 57 MIT 28 1 0 Updated Oct 30, 2026
  • specs Public

    Serializable, runtime-neutral contracts for market data, artifacts, strategy lifecycles, and execution across ML4T libraries.

    ml4t/specs's past year of commit activity
    Python 6 MIT 9 0 0 Updated Oct 30, 2026
  • live Public

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

    ml4t/live's past year of commit activity
    Python 24 MIT 20 1 0 Updated Oct 30, 2026
  • agentic-ai-in-trading Public

    Materials for the Agentic AI in Trading workshop, QuantInsti Algo Trading Conference 2026.

    ml4t/agentic-ai-in-trading's past year of commit activity
    Jupyter Notebook 14 MIT 8 0 0 Updated Sep 24, 2026
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