{"sources":[{"url":"https://api.imdnotdead.fun/artifacts/151e0b1b16f90a1384b823bc528d6d1407f7b4bbfcc7966c12119fe483bfd326","quote":"a *= (P['kLb'] if state.yes_inventory < ytg else P['kLf']) / P['kL']"},{"url":"https://api.imdnotdead.fun/artifacts/40497298132dcc0ccc9f4c0672031c7eaae00ddcf8cf24983db989feeb3c5ca0","quote":"\"mean_edge\": 108.63974289615767"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py","quote":"                process.step()\n                probability = process.current_true_probability()\n\n                step_fills = []\n                step_fills.extend(market.execute_arbitrage(probability=probability, step=step))"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/market.py","quote":"            edge = fill.quantity * (probability - price) if fill.side is Side.BUY else fill.quantity * (price - probability)"},{"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        ),"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/process.py","quote":"        diffusion_move = self._rng.gauss(0.0, self.config.diffusion_sigma)\n        jump_count = _sample_poisson(self._rng, self.config.jump_intensity)\n        jump_move = 0.0"},{"url":"https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/pyproject.toml","quote":"dependencies = []"}]}