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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 53 26

  2. diagnostic diagnostic Public

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

    Python 36 21

  3. backtest backtest Public

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

    Python 34 24

  4. skills skills Public

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

    Python 30 12

  5. engineer engineer Public

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

    Python 25 18

  6. live live Public

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

    Python 23 18

Repositories

Showing 10 of 12 repositories
  • 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 23 MIT 18 1 0 Updated Oct 18, 2026
  • data Public

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

    ml4t/data's past year of commit activity
    Python 53 MIT 26 2 0 Updated Oct 18, 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 30 Apache-2.0 12 1 2 Updated Oct 18, 2026
  • engineer Public

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

    ml4t/engineer's past year of commit activity
    Python 25 MIT 18 0 0 Updated Oct 18, 2026
  • models Public

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

    ml4t/models's past year of commit activity
    Python 18 MIT 13 0 0 Updated Oct 18, 2026
  • diagnostic Public

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

    ml4t/diagnostic's past year of commit activity
    Python 36 MIT 21 8 5 Updated Oct 18, 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 5 MIT 8 0 1 Updated Oct 18, 2026
  • ecosystem Public

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

    ml4t/ecosystem's past year of commit activity
    Python 3 MIT 3 6 4 Updated Oct 18, 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 34 MIT 24 2 2 Updated Oct 17, 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 13 MIT 7 0 0 Updated Sep 24, 2026
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