Japanese horse racing betting engine, support backtest and live bet

• Free software: MIT
• Documentation: https://xxxiio.github.io/xihr/

xihr/
  __init__.py
  cli.py
  config/
    __init__.py
    settings.py
  core/
    __init__.py
    bus.py
    clock.py
    engine.py
    events.py
    registry.py
    types.py
  data/
    __init__.py
    models.py
    providers.py
    repositories.py
    transforms.py
  strategy/
    __init__.py
    base.py
    risk.py
    rules.py
  models/
    __init__.py
    base.py
    pipelines.py
  execution/
    __init__.py
    broker.py
    router.py
    slippage.py
  backtest/
    __init__.py
    analyzers.py
    metrics.py
    simulator.py
  storage/
    __init__.py
    artifacts.py
    kv.py
  monitoring/
    __init__.py
    health.py
    logging.py

• Normalised data model for races, horses, and payoffs validated with Pydantic and Pandera.
• Repository pattern for simulation and live data/betting environments.
• Strategy API with scheduling, historical lookup, and bet execution helpers.
• Typer CLI for running strategies and generating analytics reports.
• Built-in example strategies (naive favourite and value betting) and sample datasets.

A runnable Jupyter notebook that demonstrates a full simulation using the sample dataset is available at notebooks/simulation_demo.ipynb.

This package was created with the ppw tool. For more information, please visit the project page.