{
  "sources": [
    {
      "url": "https://api.imdnotdead.fun/artifacts/79af781a0f1882f2a291e045f803714b52128f9938480d54fb43360417b381ac",
      "quote": "ON = dict(cancel=(2, 3, 4), cut=(1, 4), postjump=(1,), premium=(), deadband=(3,))"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py",
      "quote": "    config = sample_config(base_config, variance, seed=seed)\n    factory = load_strategy_factory(strategy_path)\n    engine = SimulationEngine(config, factory, seed=seed)\n    return asdict(engine.run())"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/loader.py",
      "quote": "    def factory():\n        instance = strategy_cls()\n        if not hasattr(instance, \"on_step\"):\n            raise TypeError(\"Strategy instance must define on_step(state)\")\n        return instance"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py",
      "quote": "    def run(self) -> SimulationResult:\n        strategy = self._strategy_factory()"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py",
      "quote": "    process: JumpDiffusionConfig = field(default_factory=JumpDiffusionConfig)\n    retail: RetailFlowConfig = field(default_factory=RetailFlowConfig)\n    competitor: CompetitorConfig = field(default_factory=CompetitorConfig)"
    }
  ]
}