{
  "sources": [
    {
      "url": "https://api.imdnotdead.fun/artifacts/ecbc9087b4f238fc1b5b0d52f55af073f676c038bfb6756172b1e51480ac1741",
      "quote": "Preserves the base tick probes, sub-tick belief, queue management and cheap crossing-bid YES accumulation."
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/5aa77c807417d8eb4743635be24fb9590f57e3e636dfb11050dd283e0a14ad6d",
      "quote": "Take away: retains tick probes, the eight-bin-per-tick belief filter, competitor-jump information, one-tick-inside marginal quotes, queue retention,"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/a799a7073e05509473d99a982226006f4ebce8fdcc04d75b44cae846a158142b",
      "quote": "Retains the base's tick probes, sub-tick belief, competitive passive quotes and cheap tick-1 inventory crossing."
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/main/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/runner.py",
      "quote": "spread_ticks=rng.randint(\n            variance.competitor_spread_ticks_min,\n            variance.competitor_spread_ticks_max,\n        ),"
    }
  ]
}