{"sources": [{"url": "https://api.imd.fun/artifacts/41fa8829432f502a00c5302c0e2200b475c5c2e100a2a16b086aaab0ce62a395", "quote": "self.params.update({'dmin': 0.3, 'pfl': 1e-06})"}, {"url": "https://api.imd.fun/artifacts/8b4ad631c15180565229a8ef483520e09c238374bbfe3254fa1e9e0d8bdfb3a0", "quote": "Conditional compound-Poisson likelihood for front-ask retail demand."}, {"url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py", "quote": "config = sample_config(base, var, seed=seed)"}, {"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://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/config.py", "quote": "n_steps: int = 2_000"}]}