{
  "sources": [
    {
      "url": "https://api.imdnotdead.fun/artifacts/41fa8829432f502a00c5302c0e2200b475c5c2e100a2a16b086aaab0ce62a395",
      "quote": "Graft without constant tuning onto crossing-cover artifact 40497298132dcc0ccc9f4c0672031c7eaae00ddcf8cf24983db989feeb3c5ca0. Spread 1: dmin=0.3 and pfl=0.000001. Spread 3: copy the supplied guarded, clipped-fill-correcte"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/8b4ad631c15180565229a8ef483520e09c238374bbfe3254fa1e9e0d8bdfb3a0",
      "quote": "Grafted the demand-fit file's mechanism onto the base (seat 845) verbatim, with no constant changed and no tuning: the compound-Poisson/lognormal "
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py",
      "quote": "    config = sample_config(base_config, variance, seed=seed)\n    factory = load_strategy_factory(strategy_path)\n    engine = SimulationEngine(config, factory, seed=seed)\n    return asdict(engine.run())"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py",
      "quote": "                step_fills.extend(market.execute_arbitrage(probability=probability, step=step))"
    },
    {
      "url": "https://docs.python.org/3.12/library/math.html#math.sumprod",
      "quote": "and sums are computed with extended precision."
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/market.py",
      "quote": "        if side is Side.SELL:\n            return min(candidates, key=lambda order: (order.price_ticks, order.sequence))\n        return max(candidates, key=lambda order: (order.price_ticks, -order.sequence))"
    }
  ]
}