{"key":"d7-s2-bid-cancel-on-ask-down","idea":"Spread 2 only: after the rival's best ask steps down by one tick, cancel every own bid and suppress bid placements for N callbacks, on top of B_RC's retreat cancel (N tuned over 1..3).","spread":2,"base_sha256":"02696ea6fd0922f64167a1153748f6a38bf2fd5d87c7a4ac6cb974bb9482f57c","approach":"Verified B_RC = MB + two newlines + RC wrapper (SHA matches) and its four check seeds. Wrapper class Strategy(_IncumbentStrategy): records the rival best ask before super().on_step; on spread 2, when ask == old_ask - 1 it arms a counter of N callbacks during which every PlaceOrder on BUY is dropped (ahead/res bookkeeping cleaned, pb cleared) and a CancelOrder is appended for each resting own bid not already cancelled. Guarded by self.s != 2 so other spreads return the base's actions untouched. Tuned N in {1,2,3} on 350000..350149, froze N=1, measured on 460200..460699.","tried":[{"setting":"N=1 callback","tuning_mean_diff":0.014718,"tuning_se":0.021016,"spread2_mean_diff":0.06899,"spread2_se":0.099146,"spread2_n":32},{"setting":"N=2 callbacks","tuning_mean_diff":-0.088896,"tuning_se":0.0677,"spread2_mean_diff":-0.416701,"spread2_se":0.314412,"spread2_n":32},{"setting":"N=3 callbacks","tuning_mean_diff":-0.751477,"tuning_se":0.356832,"spread2_mean_diff":-3.522548,"spread2_se":1.598086,"spread2_n":32}],"frozen_setting":"N=1","next":"Do not promote; the ask-down signal is the same event B_RC's bid-retreat cancel already blocks (the rival replenishes a sell at consumed-bid + spread one step later), so a fresh signal is needed, e.g. a two-tick bid retreat or an ask-down without a bid-retreat.","code":"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","code_sha256":"58f88e394c320b9b386571405302a31a9d809292b6c372b80c0a89ec8318a918","tuning":{"n":150,"mean_diff":0.014718,"se":0.021016,"seeds":"350000..350149","setting":"N=1"},"holdout":{"seeds":"460200..460699","n":500,"complete":true,"missing_seeds":[],"failures":[],"comparator_mean":95.614438,"candidate_mean":95.630805,"mean_diff":0.016367,"se":0.023432,"sum_d":8.18351,"sum_d2":137.121031,"retail_diff":-0.024658,"arb_diff":0.041025},"by_spread":{"1":{"n":128,"complete":true,"missing_seeds":[],"failures":[],"comparator_mean":30.196297,"mean_diff":0.0,"se":0.0,"sum_d":0.0,"sum_d2":0.0,"retail_diff":0.0,"arb_diff":0.0},"2":{"n":123,"complete":true,"missing_seeds":[],"failures":[],"comparator_mean":99.596604,"mean_diff":0.066533,"se":0.095402,"sum_d":8.18351,"sum_d2":137.121031,"retail_diff":-0.100235,"arb_diff":0.166768},"3":{"n":131,"complete":true,"missing_seeds":[],"failures":[],"comparator_mean":105.166234,"mean_diff":0.0,"se":0.0,"sum_d":0.0,"sum_d2":0.0,"retail_diff":0.0,"arb_diff":0.0},"4":{"n":118,"complete":true,"missing_seeds":[],"failures":[],"comparator_mean":151.821474,"mean_diff":0.0,"se":0.0,"sum_d":0.0,"sum_d2":0.0,"retail_diff":0.0,"arb_diff":0.0}},"off_target_zero":true,"worst_seeds":[{"seed":460207,"s":2,"d":-7.933063},{"seed":460393,"s":2,"d":-2.807832},{"seed":460601,"s":2,"d":-2.713072},{"seed":460278,"s":2,"d":-2.337434},{"seed":460480,"s":2,"d":-2.170388}],"seconds_per_simulation":{"candidate":0.2761,"base":0.2762,"spread":2,"n":123,"note":"wall seconds per engine.run on holdout spread-2 seeds; base and candidate ran as two concurrent single-process runs on a 10-core machine"},"check_values":{"seeds":"310000..310003","base_total_edge":[17.512655,24.258579,2.390311,249.541133],"expected":[17.512655,24.258579,2.390311,249.541133],"match":true},"python_version":"3.12.7","simulator":{"repo":"https://github.com/danrobinson/prediction-market-challenge","commit":"b244530ee2a6247b5f930830eeca9dd950da0e7e","config":"default ChallengeConfig and ParameterVariance, sample_config per seed, 2000 steps, one process, no --workers, no --sandbox"},"notes":"Null result: holdout +0.016 (se 0.023) overall, +0.067 (se 0.095) on 123 spread-2 seeds; no failures; d==0 on all 377 off-target seeds; speed equal. Mechanically, the competitor refills a SELL at consumed_bid_tick + spread one step after a bid is eaten, so a one-tick ask step-down coincides with the one-tick bid retreat B_RC already cancels; N=1 therefore adds almost nothing, and holding the block longer (N=2,3) only forfeits bid fills (tuning -0.09, -0.75)."}