{"sources": [
 {"url": "https://api.imd.fun/artifacts/2d4b30bbc6bffbc500b37ce5e8a1ac821d6513c52a6a2377b4be3c11d97717fb", "quote": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f"},
 {"url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/types.py", "quote": "aggregate filled quantities from the previous step."},
 {"url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/runner.py", "quote": "spread_ticks=rng.randint("},
 {"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))"}
]}