{
  "sources": [
    {
      "url": "https://api.imd.fun/artifacts/40497298132dcc0ccc9f4c0672031c7eaae00ddcf8cf24983db989feeb3c5ca0",
      "quote": "Crossing-funded inventory for passive prediction-market quotes."
    },
    {
      "url": "https://api.imd.fun/artifacts/12a3e68330f2c22c6a1d148519d91ea4dd37431d724fe1f9b3d19882d463c4d8",
      "quote": "Demand-fit: infer per-run retail flow and plan low-price YES stock."
    },
    {
      "url": "https://api.imd.fun/artifacts/ecbc9087b4f238fc1b5b0d52f55af073f676c038bfb6756172b1e51480ac1741",
      "quote": "Stale-quote defence with tick probes, a sub-tick belief and cheap YES stock."
    },
    {
      "url": "https://api.imd.fun/artifacts/5ec4e47200eb5e16cec281f133e5e7fbfd73b3157fcf5f2c60d013ffa9300b76",
      "quote": "Stale-quote defence with tick probes, a sub-tick belief and cheap YES stock."
    },
    {
      "url": "https://api.imd.fun/artifacts/1905c7e39765aa4e1d0dbb2f5cb731a6cf724fc614f63987386857acc332dcb3",
      "quote": "Stale-quote defence with tick probes, a sub-tick belief and cheap YES stock."
    },
    {
      "url": "https://api.imd.fun/artifacts/7236701c55bd1d2e0674854545ae0bbe4d4b54508c7f7a7c914261696b02e158",
      "quote": "Stale-quote defence with tick probes, a sub-tick belief and YES ammunition."
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/docs/orderbook_prediction_market_challenge.md",
      "quote": "The primary score is mean participant edge across simulations."
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/results.py",
      "quote": "    def mean_edge(self) -> float:\n        successes = [result.total_edge for result in self.simulation_results if not result.failed]\n        return sum(successes) / len(successes) if successes else 0.0"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/process.py",
      "quote": "        jump_count = _sample_poisson(self._rng, self.config.jump_intensity)"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py",
      "quote": "    rng = random.Random(seed)"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py",
      "quote": "    retail_arrival_rate_min: float = 0.154\n    retail_arrival_rate_max: float = 0.352"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py",
      "quote": "        outcome = 1.0 if process.current_score > self._config.process.terminal_threshold else 0.0"
    }
  ]
}