{"sources": [{"url": "https://api.imdnotdead.fun/artifacts/41fa8829432f502a00c5302c0e2200b475c5c2e100a2a16b086aaab0ce62a395", "quote": "\"code\": \"\\\"\\\"\\\"Crossing-cover base with isolated, untuned spread overrides.\\\"\\\"\\\"\\n"}, {"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/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))"}, {"url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py", "quote": "    competitor_quote_notional_min: float = 24.0\n    competitor_quote_notional_max: float = 72.0\n    competitor_spread_ticks_min: int = 1\n    competitor_spread_ticks_max: int = 4"}, {"url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/process.py", "quote": "    The future increment is modeled as:\n\n    - Gaussian diffusion over the remaining steps\n    - plus a compound Poisson number of Gaussian jumps"}, {"url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/retail.py", "quote": "        count = _sample_poisson(self._rng, self._config.arrival_rate)\n        if count <= 0:\n            return []\n\n        sigma = max(0.01, self._config.size_sigma)\n        mean = max(0.01, self._config.mean_notional)\n        mu_ln = math.log(mean) - 0.5 * sigma * sigma"}, {"url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/market.py", "quote": "        spread = self._config.competitor.spread_ticks\n        if order.side is Side.SELL:\n            tick = order.price_ticks - spread\n            side = Side.BUY\n        else:\n            tick = order.price_ticks + spread\n            side = Side.SELL"}]}