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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 49 24

  2. diagnostic diagnostic Public

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

    Python 31 19

  3. backtest backtest Public

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

    Python 27 21

  4. engineer engineer Public

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

    Python 21 16

  5. live live Public

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

    Python 21 16

  6. skills skills Public

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

    Python 18 6

Repositories

Showing 10 of 12 repositories
  • 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 18 Apache-2.0 6 2 1 Updated Sep 20, 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 21 MIT 16 1 0 Updated Sep 20, 2026
  • ecosystem Public

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

    ml4t/ecosystem's past year of commit activity
    Python 2 MIT 1 4 0 Updated Sep 19, 2026
  • diagnostic Public

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

    ml4t/diagnostic's past year of commit activity
    Python 31 MIT 19 1 0 Updated Sep 19, 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 2 MIT 5 0 0 Updated Sep 19, 2026
  • data Public

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

    ml4t/data's past year of commit activity
    Python 49 MIT 24 1 0 Updated Sep 19, 2026
  • models Public

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

    ml4t/models's past year of commit activity
    Python 15 MIT 11 0 0 Updated Sep 19, 2026
  • engineer Public

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

    ml4t/engineer's past year of commit activity
    Python 21 MIT 16 0 0 Updated Sep 19, 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 27 MIT 21 0 0 Updated Sep 19, 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 1 MIT 0 0 0 Updated Sep 18, 2026
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