{
 "sources": [
  {
   "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/retail.py",
   "quote": "notional = self._rng.lognormvariate(mu_ln, sigma)"
  },
  {
   "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)"
  },
  {
   "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py",
   "quote": "retail_arrival_rate_min: float = 0.154"
  },
  {
   "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py",
   "quote": "retail_mean_notional_max: float = 6.336"
  },
  {
   "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py",
   "quote": "size_sigma: float = 1.2"
  },
  {
   "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/market.py",
   "quote": "fills.extend(self._execute_buy_quantity(best_ask.remaining_quantity, aggressor=ARB, step=step))"
  },
  {
   "url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py",
   "quote": "order.notional / max(probability, self._config.retail.sell_quantity_price_floor),"
  }
 ]
}