{
  "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": "        spread_ticks=rng.randint(\n            variance.competitor_spread_ticks_min,\n            variance.competitor_spread_ticks_max,\n        ),"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py",
      "quote": "        strategy = self._strategy_factory()\n        process = JumpDiffusionScoreProcess(self._config.process, seed=self._seed)"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/loader.py",
      "quote": "    def factory():\n        instance = strategy_cls()"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/pyproject.toml",
      "quote": "requires-python = \">=3.10\"\ndependencies = []"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py",
      "quote": "    competitor_spread_ticks_min: int = 1\n    competitor_spread_ticks_max: int = 4"
    }
  ]
}