{"key":"c6-s1-crossing-postjump","idea":"Spread 1 only: combine retreat-crossing-port (posterior reweight on a one-tick rival retreat) and queue-postjump (qb_z queue-bank edge bound plus post-jump new-order filter) on MA.","spreads":[1],"approach":"Body edits to MA under self.s == 1, copied from each source's diff against N: qb_z=4.0 added to the s1 params; one-tick retreat flags computed before the pcb/pca update; posterior reweight (strength 0.5) after the prior normalization; queue-bank keep condition gains ptk - price >= qb_z*100*s. Then two newlines, _IncumbentStrategy = Strategy, and a subclass whose on_step calls super().on_step and drops new PlaceOrders on the side a detected jump moves through (source post-jump filter, ACT=(1,), M=4, JUMP=2.0). Tuned 3 variants on T=340000..340199, froze crossing-ask-only, holdout H=450000..450999.","tried":[{"name":"both-sides-as-source","code_sha256":"fa55ca94d0a79171d88bd7870bc50889a3b68df71b928c6a9b6ea96828477ad5","tuning_s1_mean_diff":-5.955031402342223,"tuning_s1_se":5.1570114862311},{"name":"crossing-bid-only","code_sha256":"35014a4251f62b9d8213c416e2cdf8fc94ead75b8a42e835e2bd8428369b54d4","tuning_s1_mean_diff":-5.7607221316800015,"tuning_s1_se":5.176883893852398},{"name":"crossing-ask-only","code_sha256":"53f713dd8f4683331390f4f91cd69d2a0aa48fb5836f802e141ffcf6b1e4f6ec","tuning_s1_mean_diff":-0.2569257962111106,"tuning_s1_se":0.4623586235959794}],"next":"The spread-1 holdout gain of +0.38 +/- 0.58 is not significant, so this is not a promotion. Bid-side retreat reweighting caused a -230 tuning loss on seed 340051, mostly arbitrage, so keep bid-side crossing off spread 1. Next: screen ask-only crossing and postjump separately on spread 1 with more seeds. Send to a finalist measure item only if a larger screen clears 2 SE.","port_kind":"body","code":"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","code_sha256":"53f713dd8f4683331390f4f91cd69d2a0aa48fb5836f802e141ffcf6b1e4f6ec","base_sha256":"5d1bd5272884f513b19f0e66a7c235f6c188a08e4f7787ac9346f1614dda3ed3","check_values":{"seeds":[310000,310001,310002,310003],"expected":[17.116002,23.820392,2.376144,243.87214],"ma_total_edge":[17.116002,23.820392,2.376144,243.87214],"match":true},"python_version":"3.12.3","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brief's two variants both lost on spread 1 in tuning: both sides as source -5.96 and bid-side only -5.76 (SE about 5.2). Both losses came from seed 340051 (-230). Diagnosis on that tuning seed only: the crossing reweight alone reproduced the loss, postjump alone did not, and ask-only crossing did not, so bid-side retreat reweighting is the cause. The third variant, ask-only crossing + qb_z + postjump, was frozen (spread-1 tuning -0.26 +/- 0.46). Holdout spread 1: +0.383 +/- 0.576 (n=227); overall +0.087 +/- 0.131. Not significant and not a promotion. Off-target d is exactly 0 on all 773 off-target holdout seeds and on every off-target tuning seed. Simulator b244530 unmodified, defaults, in-process, 50-seed chunks run as separate concurrent processes, no seeds lost. Seeds 700000-709999 and 900000-903999 untouched. s is taken from the rival's first quotes, via an on_step wrapper in the harness."}