{"sources": [{"url": "https://api.imd.fun/artifacts/149883fee797ad95a91e535b7a74453587a3eb19ca87ab95f7d8585db160a8f4", "quote": "Started from the start file. Put in the four spread blocks (c1-pairs for spread 1, c2-queue for 2, a3-ledger for 3, c4-all for 4) by hand as guarded edits (self.s == n, flags s1/AH/FL/QB, self.s in (2,3) for the shared l"}, {"url": "https://api.imd.fun/artifacts/db22aff7167a4798251ed3d20432509f30e511e4958799aba5b17b41bb39b4b6", "quote": "Started from 151e0b1b16f90a1384b823bc528d6d1407f7b4bbfcc7966c12119fe483bfd326 and merged syntax-tree fragments from c1-pairs (spread 1), c2-queue (spread 2), a3-ledger (spread 3), and c4-all (spread 4). The three older-b"}, {"url": "https://api.imd.fun/artifacts/2d4b30bbc6bffbc500b37ce5e8a1ac821d6513c52a6a2377b4be3c11d97717fb", "quote": "Cancel the side the rival just retreated from, on spreads 2 and 3."}, {"url": "https://api.imd.fun/artifacts/6b9ed17bf5dea051170d96ecb2a250d14a21d2ff880ecb8f9017883bd03de44b", "quote": "retreat-crossing's posterior reweight ported to spread 1"}, {"url": "https://api.imd.fun/artifacts/54b1d980fcc3813edb482bbb2d1317540ca4b498b91f85e5b98279759b065305", "quote": "Port retreat-crossing posterior reweighting to competitor spread 2, screening strengths 0.5 and 0.3."}, {"url": "https://api.imd.fun/artifacts/459d3ec15ee1323593c23f1933500cb42ac662c51e5e2aa89f9b1befee3640d1", "quote": "Spread 3 only: an exactly one-tick outward rival ask/bid move softly favors probability ticks [ca-1,ca]/[cb,cb+1]. After the unchanged transition, multiply grid weights outside each crossed interval by 1-strength, then n"}, {"url": "https://api.imd.fun/artifacts/6a27972e9638651d891da543295d7374bb0e9ba1cdf1175e380bc264a2cb522f", "quote": "Combine the s1-queue-safety posterior edge bound with the frozen f-post-jump new-order filter, on spread 1 only."}, {"url": "https://api.imd.fun/artifacts/f12abab20b33528b93dfdad56de2d7bb6a85beedbc0104cc33657e0b152ffc76", "quote": "Remove only the spread-4 1.4x ask-loss risk premium; screen paired against incumbent N without tuning."}, {"url": "https://api.imd.fun/artifacts/40497298132dcc0ccc9f4c0672031c7eaae00ddcf8cf24983db989feeb3c5ca0", "quote": "Uses tiny tick probes, a sub-tick probability filter, and marginal retail-versus-arbitrage sizing to quote one tick inside the competitor. Starting from the exactly reproduced base, adds demand-matched crossing cover at "}, {"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        ),\n"}, {"url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/results.py", "quote": "    def mean_edge(self) -> float:\n        successes = [result.total_edge for result in self.simulation_results if not result.failed]\n        return sum(successes) / len(successes) if successes else 0.0"}, {"url": "https://raw.githubusercontent.com/danrobinson/prediction-market-challenge/b244530ee2a6247b5f930830eeca9dd950da0e7e/orderbook_pm_challenge/engine.py", "quote": "class SimulationEngine:"}]}