{
  "sources": [
    {
      "url": "https://api.imdnotdead.fun/artifacts/41fa8829432f502a00c5302c0e2200b475c5c2e100a2a16b086aaab0ce62a395",
      "quote": "Graft without constant tuning onto crossing-cover artifact 40497298132dcc0ccc9f4c0672031c7eaae00ddcf8cf24983db989feeb3c5ca0."
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/40497298132dcc0ccc9f4c0672031c7eaae00ddcf8cf24983db989feeb3c5ca0",
      "quote": "Uses tiny tick probes, a sub-tick probability filter, and marginal retail-versus-arbitrage sizing to quote one tick inside the competitor."
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/c80c33382f9c458ab6286dbc11fa761100a7e156dad7f3c12d74040b7c76578f",
      "quote": "Spread 4 only: estimate each run's symmetric buy/sell retail flow from changes in our main resting orders."
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/89954f578f94920227812b158e22ece964c6e34081ca1c89a022dc60cadafba4",
      "quote": "For self.s == 4, halve the regular-bid target when phat < 0.05 and bid_t >= 2."
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/9cff8842bd7d225500799ce5ad8289e5ace7fc7656a6195032516f290d978d8f",
      "quote": "now needs at least 50 shares of that ahead-of-rival stock instead of 2;"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/6c98aea3a2ae09a046b6d26f565731b6fdbd2c9fa375437c7fb5a8bb293dd412",
      "quote": "by tolerating remaining quantity up to 3 times current desired size rather than 1.5 times."
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/c8288b4af29e8f178adf9a933a9303c7f4fa5f97187d604d54bf1071e72ae872",
      "quote": "the expected arbitrage loss used to size our ask is multiplied by 1.4"
    },
    {
      "url": "https://api.imdnotdead.fun/artifacts/f83584120dba5fcc36de9ce39fafe067432927b557d15dc9021e749064c71afd",
      "quote": "split a new bid into two cent-quantized halves when it is exactly four ticks below a real rival ask (ca<=99)"
    },
    {
      "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py",
      "quote": "        config = sample_config(base, var, seed=seed)\n        engine = SimulationEngine(config, strategy_factory, seed=seed)\n        results.append(engine.run())"
    },
    {
      "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."
    }
  ]
}