{"key":"c5-s2-cancel-mask-to-ask","idea":"Combine RC retreat cancellation with the jump-masked flow estimate in ask sizing on spread 2.","approach":"Starting from RC, I transplanted c-s2-mask-to-ask\u2019s spread-2 flow mask: update the exposure only when the rival ask has not jumped and the bid moved by at most one tick, then blend its bounded flow factor into ask size. I screened blend weights 0.50, 0.75, and 1.00 paired against RC and froze 0.50. RC\u2019s retreat-cancel wrapper is retained unchanged.","tried":[{"name":"blend_0.50","code_sha256":"ca2d8ee6585d1e3bbb2accab9af063eb6bf8bdfd8dc19f3a2719937c0ef8d8ca","tuning_mean_diff":0.08849990062749986,"se":0.4070754716845479},{"name":"blend_0.75","code_sha256":"14763afcdf42fa55a0e6dc7cf5d204f8a96e4ce8ea2cb7fb6913c403891ba4c6","tuning_mean_diff":-0.026927847299000825,"se":0.5468998298594665},{"name":"blend_1.00","code_sha256":"04da1603a7a3d4d04e5461722d601c60612f45a28f556132c72634fbafa7e80a","tuning_mean_diff":-0.34919534588999995,"se":0.7417790933710902}],"next":"No promotion: the frozen candidate is a screen only; holdout gain is below 2 SE. Retain RC as incumbent and test a different mechanism in the next item.","code":{"encoding":"gzip+base64; UTF-8 after decompression","data":"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"},"code_sha256":"ca2d8ee6585d1e3bbb2accab9af063eb6bf8bdfd8dc19f3a2719937c0ef8d8ca","comparator_sha256":"3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f","target_spreads":[2],"tuning":{"seeds":{"start":330000,"end":330199,"n":200},"selected":"blend_0.50","variant_stats":[{"name":"blend_0.50","code_sha256":"ca2d8ee6585d1e3bbb2accab9af063eb6bf8bdfd8dc19f3a2719937c0ef8d8ca","tuning_mean_diff":0.08849990062749986,"se":0.4070754716845479},{"name":"blend_0.75","code_sha256":"14763afcdf42fa55a0e6dc7cf5d204f8a96e4ce8ea2cb7fb6913c403891ba4c6","tuning_mean_diff":-0.026927847299000825,"se":0.5468998298594665},{"name":"blend_1.00","code_sha256":"04da1603a7a3d4d04e5461722d601c60612f45a28f556132c72634fbafa7e80a","tuning_mean_diff":-0.34919534588999995,"se":0.7417790933710902}]},"paired":{"seeds":{"start":440000,"end":440499},"n":500,"complete":true,"missing_seeds":[],"overall":{"n":500,"sum_d":1.4417461584998843,"sum_d2":3209.068749542692,"mean_diff":0.0028834923169997685,"se":0.11341067998113075,"comparator_mean":101.4369248623788,"candidate_mean":101.4398083546958,"retail_diff":0.011865364367200001,"arb_diff":-0.008981872045799996},"by_spread":{"1":{"n":142,"sum_d":0.0,"sum_d2":0.0,"mean_diff":0.0,"se":0.0,"comparator_mean":28.7146791778493,"candidate_mean":28.7146791778493,"retail_diff":0.0,"arb_diff":0.0},"2":{"n":110,"sum_d":1.4417461584998843,"sum_d2":3209.068749542692,"mean_diff":0.013106783259089858,"se":0.517343075359129,"comparator_mean":88.78927784058273,"candidate_mean":88.80238462384182,"retail_diff":0.053933474396363645,"arb_diff":-0.04082669111727271},"3":{"n":119,"sum_d":0.0,"sum_d2":0.0,"mean_diff":0.0,"se":0.0,"comparator_mean":143.37780997585293,"candidate_mean":143.37780997585293,"retail_diff":0.0,"arb_diff":0.0},"4":{"n":129,"sum_d":0.0,"sum_d2":0.0,"mean_diff":0.0,"se":0.0,"comparator_mean":153.5829305298,"candidate_mean":153.5829305298,"retail_diff":0.0,"arb_diff":0.0}}},"failures":[],"check_values":{"310000":17.1160017503,"310001":20.0171113118,"310002":2.3903113616,"310003":241.4847522404},"python_version":"3.12.3","seconds_per_simulation":0.49330050039291384}
