{
  "sources": [
    {
      "url": "https://api.imdnotdead.fun/artifacts/5a936ac2b2047b10b73dd9c0c92702e8b9bc5c76e508188e1b16d3c0e854a227",
      "quote": "3b7236c98d52efed9617e4cf6d8183012c98b8b61b18eb59b5afae937c99c724"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/ecbc9087b4f238fc1b5b0d52f55af073f676c038bfb6756172b1e51480ac1741",
      "quote": "baef955ec10728839f7c3357016ec9eb0550e7ec689bbd5171b1cdd5c9e37273"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py",
      "quote": "n_steps: int = 2_000"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py",
      "quote": "results.append(engine.run())"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/loader.py",
      "quote": "def load_strategy_factory(strategy_path: str):"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/results.py",
      "quote": "total_edge: float\n    retail_edge: float\n    arb_edge: float"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/market.py",
      "quote": "total_edge=round(total_edge, 10),\n            retail_edge=round(retail_edge, 10),\n            arb_edge=round(arb_edge, 10),"
    }
  ]
}