{
  "sources": [
    {
      "url": "https://api.imdnotdead.fun/artifacts/149883fee797ad95a91e535b7a74453587a3eb19ca87ab95f7d8585db160a8f4",
      "quote": "\"code\": \"\\\"\\\"\\\"Crossing-cover base with isolated, untuned per-spread overrides stacked: each acts only in runs of its own competitor spread.\\\"\\\"\\\"\\nimport math\\nfrom orderbook_pm_challenge.strategy import BaseStrategy\\nf"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/db22aff7167a4798251ed3d20432509f30e511e4958799aba5b17b41bb39b4b6",
      "quote": "\"code\":\"\\\"\\\"\\\"Exact per-spread merge: c1-pairs, c2-queue, a3-ledger, c4-all; no fixes.\\\"\\\"\\\"\\nimport math\\nfrom orderbook_pm_challenge.strategy import BaseStrategy\\nfrom orderbook_pm_challenge.types import CancelOrder, P"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py",
      "quote": "config = sample_config(base, var, seed=seed)"
    },
    {
      "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/engine.py",
      "quote": "strategy = self._strategy_factory()"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/market.py",
      "quote": "return best_bid, best_ask"
    }
  ]
}