{"key":"p6-s3-retreat-crossing","idea":"retreat-crossing on spread 3: a rival one-tick retreat (ask up one tick or bid down one tick vs the previous step) is treated as soft evidence of a crossing of own orders at the vacated tick, down-weighting belief bins outside [ca-1, ca] / [cb, cb+1] by strength 0.5","spreads":[3],"approach":"Ported the source change (diff vs N) into MA's belief filter: flags computed just before MA updates pcb/pca, reweighting applied after the predicted belief is normalised. A belief-state change cannot be made from a wrapper, so MA's body gets two inserts gated by self.s == 3 and a class attribute _retreat (absent in MA => inert); the appended wrapper class Strategy(_IncumbentStrategy) sets _retreat and its on_step returns super().on_step unchanged.","tried":["as_source (both sides, 0.5): T s3 +1.208 se 0.698","bid_only (0.5): T s3 +1.106 se 0.663","soft_0.25 (both, 0.25): T s3 +0.047 se 0.161","selected as_source; holdout H s3 +0.379 se 0.213"],"next":["Holdout gain is 1.78 se, below the 2-se promotion bar; replicate on more spread-3 seeds (or the finalist block, by a measure item) before promoting","Try strength 0.6-0.75, or condition on own exposed quotes at the vacated tick (last_quote_exposed), since 0.25 was ~0 and 0.5 positive","Combine with other spread-3 ports in this batch"],"port_kind":"body","code":"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danrobinson/prediction-market-challenge @ b244530, unmodified, defaults (2000 steps), single process, no sandbox/workers; per seed runner.sample_config + SimulationEngine(config, factory, seed). MA SHA-256 verified; MA check values on 310000..310003 reproduced exactly. Holdout s3 n=252 mean +0.3785 se 0.2131 (1.78 se; retail -0.0075, arb +0.3860 per s3 seed); source reported F vs N s3 +0.41 se 0.20, consistent. Spreads 1,2,4: total, retail and arb bit-identical to MA on every seed (off_target_zero). Not promotable on its own (< 2 se). Chunks of 50 seeds; no seeds lost; no seed in 700000..709999 or 900000..903999 run. code is gzip+base64 of the full file; its SHA-256 is of the plain file."}