# r5-deepen merge 03: eight screens of single changes to RC's one-tick retreat cancel **These are screening seeds, not finalist seeds.** Every row was tuned on 330000..330199 and measured once, paired against RC, on holdout 440000..440499 (n = 500). No item used the reserved finalist seeds 900000..903999, and none claims a promotion. All eight items name the same comparator, RC, SHA-256 `3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f`. Every statistic below is copied from the item result files under `.imd/reads/artifacts/` (their SHA-256s are in `input_sources`). This merge ran no simulations and recomputed nothing from per-seed data. The only arithmetic is the ranking key, target mean_diff divided by target se, worked out from the two copied numbers. "n/r" means the result does not report that value. I checked each result's `code` (decoded where the result says it is gzip+base64) against its stated `code_sha256`, and all eight match. ## Ranked table (by target-spread mean_diff / se) | rank | key | code_sha256 | target spreads | holdout n | target mean_diff | target se | target diff/se | overall mean_diff | overall se | retail_diff | arb_diff | tuning mean | flag | |---|---|---|---|---|---|---|---|---|---|---|---|---|---| | 1 | d5-s2-retreat-posterior | `273e4049cf1866b0aa1cb43b70431787d4f51fd8d5beca529e02912be8926201` | 2 | 500 | 0.0901 | 0.7250 | 0.124 | 0.0198 | 0.1589 | 0.3233 | -0.3035 | 5.5786 | | | 2 | d5-s23-cancel-inward-join | `1ede0a791e1562624d6a38f7922fa47f3ff147b68109b2c530bee16d44a31b47` | 2,3 | 500 | 0.0000 | 0.0000 | undefined (se 0) | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | | | 3 | d5-s23-cancel-time-gate | `ad20a135ec3782556cff3febd2a3487b5d89ec9bf0c77632e5f9f22ce6ca68c9` | 2,3 | 500 | -0.0029 | 0.0017 | -1.706 | -0.0013 | 7.68e-04 | 1.48e-04 | -0.0015 | -0.0055 | | | 4 | d5-s23-cancel-not-after-fill | `87c1eb18511598511a699f32680188327dc1ae72a285dbbf6020bf983d574b6b` | 2,3 | 500 | -0.6642 | 0.1737 | -3.823 | -0.3042 | 0.0809 | -0.0963 | -0.2079 | -0.6870 | | | 5 | d5-s23-cancel-inventory-gate | `2860640aa2a6b1f58844fc797968731332899f9e0dcf6f52c02413c50cc5b2c6` | 2,3 | 500 | -0.7539 | 0.1637 | -4.606 | -0.3453 | 0.0768 | -0.0023 | -0.3430 | -0.5029 | | | 6 | d5-s23-cancel-reentry-ladder | `d0e8031e7113c13167c12322880372be5586ab6c88bf97395972cf4bc068bed1` | 2,3 | 500 | -3.7671 | 0.4565 | -8.253 | -1.7253 | 0.2251 | -1.0947 | -0.6306 | -2.0403 | FLAG: has failures (1 recorded during tuning; see notes) | | 7 | d5-s23-cancel-both-sides | `d5150bc8e8fea619308ab2f46a95c2fcd8868210b162129a194a25f7b82384eb` | 2,3 | 500 | -16.4244 | 1.8168 | -9.040 | -7.5224 | 0.9083 | -6.3830 | -1.1394 | -13.2180 | FLAG: comparator_mean on 440000..440499 is 101.43743449131003, unlike the other rows' 101.4369248623788 (Python 3.9.6) | | 8 | d5-s23-cancel-only-after-fill | `1fe2d66c77c4353581d2e3136b4a1604514d9b8cbfbe510c3adaa4205108145b` | 2,3 | 500 | n/r | n/r | n/r | -1.65e-04 | 1.39e-04 | 2.80e-08 | -1.65e-04 | -3.80e-06 | FLAG: incomplete: no pooled target-spread (2,3) holdout statistic reported | Column notes: - *target* means the item's target spreads: spreads 2 and 3 pooled (n = 229), or spread 2 alone (n = 110) for d5-s2-retreat-posterior, whose stats are its `paired.by_spread.2`. - *overall* covers all 500 holdout seeds. Every item reports d exactly 0 on spreads it does not target. - *retail_diff* and *arb_diff* are the overall paired means as reported. The target-spread versions are in the JSON. - *tuning mean* is the selected variant's paired target-spread mean on 330000..330199, as listed in the item's `tried`. ## Flags and caveats - **d5-s23-cancel-both-sides is flagged.** Its holdout `comparator_mean` (RC) is 101.43743449131003. Every other row has 101.4369248623788 (101.436926 where rounded), and its spread 1 and spread 3 comparator means also differ (28.715468 vs 28.714679; 143.379011 vs 143.377810). It ran on Python 3.9.6, while the others ran on 3.12.3, 3.13.5 or 3.15.0. Its RC check values on 310000..310003 match the other rows'. Its loss (-16.42 on target, se 1.82) is far too large for that small comparator difference to change the verdict. - **d5-s23-cancel-reentry-ladder is flagged** because its `failures` list is not empty. A first r3 prototype crashed on tuning seed 330065 with an "Insufficient free cash for order collateral" error. The item says it repaired the bug and reran all three variants on every tuning seed before any holdout run. Its holdout is complete. - **d5-s23-cancel-only-after-fill is flagged as incomplete for ranking.** Its `paired` block has no pooled spread-2/3 statistic, only per-spread values (spread 2: -1.26e-05, se 9.04e-06; spread 3: -6.81e-04, se 5.82e-04) and the overall value. This merge does not pool them itself. The selected F=5 is close to doing nothing: the item says it differs from RC on 2 of 200 tuning seeds. - **d5-s23-cancel-time-gate:** its `paired` block also lacks a pooled target statistic. The target figure in the table (-0.0029, se 0.0017) comes from the item's own `approach` text and is rounded as written there. Its tuning target figure (-0.005462, se 0.003482) is in `tried`. It is not flagged because the result reports the value, but only in prose. - **d5-s2-retreat-posterior** has one entry in `failures`. The entry says there were no simulation failures in the 500 holdout pairs, and that the RC check totals reproduced locally differ from the task's published check values. Two other items explain the published values as N's, not RC's: time-gate's `check_values_note` and reentry-ladder's `check_values_note`. Its reported check_values (17.5126554022, 20.6298693268, 2.3903113616, 248.006347259) equal every other row's, so I did not flag it. Its tuning-to-holdout drop is large: 5.58 (se 5.24) in tuning, 0.09 (se 0.73) on holdout. - **Sources that did not hold on re-read:** d5-s23-cancel-reentry-ladder (1 source) and d5-s23-cancel-inward-join (1 source). Neither result file lists its sources, so this merge cannot say which claim depended on the failed source. Their numbers are taken only from their own result files. Treat any background claim they make about the RC/N artifacts with caution, for example reentry-ladder's statement that the stored reference checks belong to incumbent hash `bf0d179f…`. - No result has a field named `off_equals_rc`. d5-s23-cancel-inward-join reports `off_target_result_fields_exactly_equal: true`, and the others state in prose that off-target d is exactly 0. - None of the rows is an overlay, so `assembled_sha256` does not apply. ## What the eight screens agree on None of the eight beats RC on holdout by more than its standard error. - Every change that removes or narrows RC's retreat cancel loses edge, mostly through arbitrage loss: gating it by inventory, by time, or by recent fills either way. In order: inventory-gate -0.75 (se 0.16) on target, not-after-fill -0.66 (se 0.17), time-gate -0.0029 (se 0.0017). - Changes that widen the cancel lose more, mostly in retail: cancelling both sides gives -16.42 (se 1.82) on target with a retail_diff of -13.94, and the half-size re-entry ladder gives -3.77 (se 0.46). - d5-s23-cancel-inward-join is identical to RC on holdout (d = 0 on every seed). By its own diagnostics, its rule placed 0 rejoin orders, because RC's probes nearly always occupy the side. - d5-s2-retreat-posterior, a 0.7-tick posterior shift on spread 2, is the only row with a positive point estimate: +0.090 (se 0.725). That is noise-level, though its retail/arb split (+1.47 retail, -1.38 arb on spread 2) shows the change does affect behaviour. - Items' suggestions for later rounds, as the items state them: condition the cancel on retreat size, for example 2+ tick retreats (inventory-gate, only-after-fill, time-gate); keep or tighten the opposite side on a one-sided retreat (both-sides); rejoin when only probes are present (inward-join); any fill-based gate must ignore probe-size fills (not-after-fill). ## top The `top` field holds the two unflagged rows ranked highest. They are d5-s2-retreat-posterior (diff/se 0.124) and d5-s23-cancel-inward-join (mean_diff 0 with se 0, so the ratio is undefined and ranks as 0, above every negative row). The inward-join code behaves the same as RC on these seeds. If a non-identical second candidate is wanted, the next unflagged row is d5-s23-cancel-time-gate (`ad20a135…`), whose code is in its own result file. `code` holds the gzip-compressed, then base64-encoded UTF-8 Python source. `code_sha256` is the SHA-256 of the decoded source, and I checked it after re-encoding. ## Data ```json { "rows": [ { "key": "d5-s2-retreat-posterior", "code_sha256": "273e4049cf1866b0aa1cb43b70431787d4f51fd8d5beca529e02912be8926201", "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f", "target_spreads": [ 2 ], "selected_variant": "shift_0.7_tick", "holdout_seeds": "440000..440499", "holdout_n": "500", "target_n": "110", "target_mean_diff": "0.09012253207909134", "target_se": "0.7250117800601479", "target_ratio": "0.124", "overall_mean_diff": "0.019826957057400094", "overall_se": "0.15894372565831297", "retail_diff": "0.3233247480743997", "arb_diff": "-0.3034977910184", "target_retail_diff": "1.469657945792726", "target_arb_diff": "-1.37953541372", "overall_comparator_mean": "101.4369248623788", "tuning_seeds": "330000..330199", "tuning_mean": "5.578581182429825", "python_version": "3.12.3", "check_values": [ "17.5126554022", "20.6298693268", "2.3903113616", "248.006347259" ], "flag": null, "notes": "target = spread 2 only; target stats are paired.by_spread.2; failures field holds one note stating no simulation failures in 500 holdout pairs and that local RC check totals differ from the task's published values (those published values are N's per time-gate and reentry-ladder); its check_values equal every other row's, so not flagged", "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": "9.913478528700047", "sum_d2": "6303.341981686269", "mean_diff": "0.09012253207909134", "se": "0.7250117800601479", "comparator_mean": "88.78927784058273", "candidate_mean": "88.87940037266182", "retail_diff": "1.469657945792726", "arb_diff": "-1.37953541372" }, "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" } } }, { "key": "d5-s23-cancel-inward-join", "code_sha256": "1ede0a791e1562624d6a38f7922fa47f3ff147b68109b2c530bee16d44a31b47", "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f", "target_spreads": [ 2, 3 ], "selected_variant": "inward_only", "holdout_seeds": "440000..440499", "holdout_n": "500", "target_n": "229", "target_mean_diff": "0.0", "target_se": "0.0", "target_ratio": null, "overall_mean_diff": "0.0", "overall_se": "0.0", "retail_diff": "0.0", "arb_diff": "0.0", "target_retail_diff": "0.0", "target_arb_diff": "0.0", "overall_comparator_mean": "101.4369248623788", "tuning_seeds": "330000..330199", "tuning_mean": "0.0", "python_version": "3.13.5", "check_values": [ "17.5126554022", "20.6298693268", "2.3903113616", "248.006347259" ], "flag": null, "notes": null, "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": "0.0", "sum_d2": "0.0", "mean_diff": "0.0", "se": "0.0", "comparator_mean": "88.78927784058273", "candidate_mean": "88.78927784058273", "retail_diff": "0.0", "arb_diff": "0.0" }, "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" } } }, { "key": "d5-s23-cancel-time-gate", "code_sha256": "ad20a135ec3782556cff3febd2a3487b5d89ec9bf0c77632e5f9f22ce6ca68c9", "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f", "target_spreads": [ 2, 3 ], "selected_variant": "T0=30", "holdout_seeds": "440000..440499", "holdout_n": "500", "target_n": null, "target_mean_diff": "-0.0029", "target_se": "0.0017", "target_ratio": "-1.706", "overall_mean_diff": "-0.0013454422431997415", "overall_se": "0.000767615472536012", "retail_diff": "0.00014765662739999285", "arb_diff": "-0.0014930988701999661", "target_retail_diff": null, "target_arb_diff": null, "overall_comparator_mean": "101.4369248623788", "tuning_seeds": "330000..330199", "tuning_mean": "-0.005462103231132792", "python_version": "3.12.3", "check_values": [ "17.5126554022", "20.6298693268", "2.3903113616", "248.006347259" ], "flag": null, "notes": "paired block has no pooled spread-2/3 entry; target mean_diff -0.0029 (se 0.0017) copied from the result's own approach text, rounded as written there", "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": "-0.7603194117000192", "sum_d2": "0.04566853205486517", "mean_diff": "-0.006911994651818356", "se": "0.0018359128998330027", "comparator_mean": "88.78927784058273", "candidate_mean": "88.78236584593091", "retail_diff": "5.5970601817779585e-05", "arb_diff": "-0.006967965253636363" }, "3": { "n": "119", "sum_d": "0.08759829010014841", "sum_d2": "0.10225033702236093", "mean_diff": "0.0007361200848751968", "se": "0.0026976208237346365", "comparator_mean": "143.37780997585293", "candidate_mean": "143.37854609593782", "retail_diff": "0.0005686684663868964", "arb_diff": "0.00016745162016820956" }, "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" } } }, { "key": "d5-s23-cancel-not-after-fill", "code_sha256": "87c1eb18511598511a699f32680188327dc1ae72a285dbbf6020bf983d574b6b", "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f", "target_spreads": [ 2, 3 ], "selected_variant": "F1_nonprobe_fill_gt_0.05", "holdout_seeds": "440000..440499", "holdout_n": "500", "target_n": "229", "target_mean_diff": "-0.664163", "target_se": "0.173747", "target_ratio": "-3.823", "overall_mean_diff": "-0.304187", "overall_se": "0.080851", "retail_diff": "-0.096323", "arb_diff": "-0.207864", "target_retail_diff": "-0.210313", "target_arb_diff": "-0.453851", "overall_comparator_mean": "101.436926", "tuning_seeds": "330000..330199", "tuning_mean": "-0.687018", "python_version": "3.15.0", "check_values": [ "17.5126554022", "20.6298693268", "2.3903113616", "248.006347259" ], "flag": null, "notes": null, "by_spread": { "1": { "n": "142", "sum_d": "0.0", "sum_d2": "0.0", "mean_diff": "0.0", "se": "0.0", "comparator_mean": "28.714682", "candidate_mean": "28.714682", "retail_diff": "0.0", "arb_diff": "0.0" }, "2": { "n": "110", "sum_d": "-61.7595211045", "sum_d2": "606.0842473572", "mean_diff": "-0.56145", "se": "0.218305", "comparator_mean": "88.789278", "candidate_mean": "88.227828", "retail_diff": "-0.172747", "arb_diff": "-0.388703" }, "3": { "n": "119", "sum_d": "-90.3339104738", "sum_d2": "1071.1158226571", "mean_diff": "-0.759108", "se": "0.2672", "comparator_mean": "143.37781", "candidate_mean": "142.618701", "retail_diff": "-0.245037", "arb_diff": "-0.514071" }, "4": { "n": "129", "sum_d": "0.0", "sum_d2": "0.0", "mean_diff": "0.0", "se": "0.0", "comparator_mean": "153.582931", "candidate_mean": "153.582931", "retail_diff": "0.0", "arb_diff": "0.0" } } }, { "key": "d5-s23-cancel-inventory-gate", "code_sha256": "2860640aa2a6b1f58844fc797968731332899f9e0dcf6f52c02413c50cc5b2c6", "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f", "target_spreads": [ 2, 3 ], "selected_variant": "threshold_25", "holdout_seeds": "440000..440499", "holdout_n": "500", "target_n": "229", "target_mean_diff": "-0.7539440350122264", "target_se": "0.16370084516733613", "target_ratio": "-4.606", "overall_mean_diff": "-0.34530636803559966", "overall_se": "0.07675085351590664", "retail_diff": "-0.0022591660374001103", "arb_diff": "-0.34304720198820005", "target_retail_diff": "-0.004932676937554826", "target_arb_diff": "-0.7490113580528386", "overall_comparator_mean": "101.4369248623788", "tuning_seeds": "330000..330199", "tuning_mean": "-0.5028908442188654", "python_version": "3.12.3", "check_values": [ "17.5126554022", "20.6298693268", "2.3903113616", "248.006347259" ], "flag": null, "notes": null, "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": "-77.97521204209995", "sum_d2": "638.4780726156564", "mean_diff": "-0.7088655640190905", "se": "0.2205467710664799", "comparator_mean": "88.78927784058273", "candidate_mean": "88.08041227656364", "retail_diff": "-0.14234876830181786", "arb_diff": "-0.566516795711818" }, "3": { "n": "119", "sum_d": "-94.67797197569989", "sum_d2": "890.8682033846421", "mean_diff": "-0.795613209879831", "se": "0.24099523596924782", "comparator_mean": "143.37780997585293", "candidate_mean": "142.5821967659731", "retail_diff": "0.12209060079411689", "arb_diff": "-0.9177038106369751" }, "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" } } }, { "key": "d5-s23-cancel-reentry-ladder", "code_sha256": "d0e8031e7113c13167c12322880372be5586ab6c88bf97395972cf4bc068bed1", "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f", "target_spreads": [ 2, 3 ], "selected_variant": "r5", "holdout_seeds": "440000..440499", "holdout_n": "500", "target_n": "229", "target_mean_diff": "-3.7671271368716157", "target_se": "0.4564748022560409", "target_ratio": "-8.253", "overall_mean_diff": "-1.7253442286872", "overall_se": "0.22508750650456225", "retail_diff": "-1.0947131979337994", "arb_diff": "-0.6306310307716001", "target_retail_diff": "-2.3902034889384267", "target_arb_diff": "-1.3769236479729259", "overall_comparator_mean": "101.4369248623788", "tuning_seeds": "330000..330199", "tuning_mean": "-2.0402598607150937", "python_version": "3.12.3", "check_values": [ "17.5126554022", "20.6298693268", "2.3903113616", "248.006347259" ], "flag": "has failures (1 recorded during tuning; see notes)", "notes": "failures as reported: {\"stage\": \"initial tuning attempt; implementation bug\", \"seed\": 330065, \"strategy\": \"r3\", \"code_sha256\": \"0f33b3bf5ef51e30b01f1bbcd72e02723c46fb86844bc3abcf7ac50669395ac0\", \"error\": \"orderbook_pm_challenge.market.OrderBookError: Insufficient free cash for order collateral\", \"resolution\": \"Repaired sell-reservation bookkeeping after scaling; discarded incomplete prototype screen and reran all three durations on all tuning seeds. No holdout had run.\"}", "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": "-430.3079124151999", "sum_d2": "9934.184364355642", "mean_diff": "-3.9118901128654535", "se": "0.8295454856636201", "comparator_mean": "88.78927784058273", "candidate_mean": "84.87738772771728", "retail_diff": "-2.605849592041817", "arb_diff": "-1.3060405208572727" }, "3": { "n": "119", "sum_d": "-432.36420192840006", "sum_d2": "4194.986192694588", "mean_diff": "-3.6333126212470592", "se": "0.4322881984459526", "comparator_mean": "143.37780997585293", "candidate_mean": "139.7444973546059", "retail_diff": "-2.1908667549773098", "arb_diff": "-1.4424458663151263" }, "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" } } }, { "key": "d5-s23-cancel-both-sides", "code_sha256": "d5150bc8e8fea619308ab2f46a95c2fcd8868210b162129a194a25f7b82384eb", "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f", "target_spreads": [ 2, 3 ], "selected_variant": "both1", "holdout_seeds": "440000..440499", "holdout_n": "500", "target_n": "229", "target_mean_diff": "-16.424361594106983", "target_se": "1.816838679332938", "target_ratio": "-9.040", "overall_mean_diff": "-7.522357610101002", "overall_se": "0.9082758336592712", "retail_diff": "-6.382978613713196", "arb_diff": "-1.1393789963957994", "target_retail_diff": "-13.936634527758082", "target_arb_diff": "-2.487727066366375", "overall_comparator_mean": "101.43743449131003", "tuning_seeds": "330000..330199", "tuning_mean": "-13.217991436826413", "python_version": "3.9.6", "check_values": [ "17.5126554022", "20.6298693268", "2.3903113616", "248.006347259" ], "flag": "comparator_mean on 440000..440499 is 101.43743449131003, unlike the other rows' 101.4369248623788 (Python 3.9.6)", "notes": null, "by_spread": { "1": { "n": "142", "sum_d": "0.0", "sum_d2": "0.0", "mean_diff": "0.0", "se": "0.0", "comparator_mean": "28.715468424618308", "candidate_mean": "28.715468424618308", "retail_diff": "0.0", "arb_diff": "0.0" }, "2": { "n": "110", "sum_d": "-1449.782329336", "sum_d2": "63803.7937046551", "mean_diff": "-13.1798393576", "se": "1.9307419373737915", "comparator_mean": "88.7892778405818", "candidate_mean": "75.60943848298183", "retail_diff": "-12.920468756546374", "arb_diff": "-0.25937060111272714" }, "3": { "n": "119", "sum_d": "-2311.3964757144995", "sum_d2": "170317.9033098234", "mean_diff": "-19.423499795920165", "se": "2.988637437728058", "comparator_mean": "143.37901114495295", "candidate_mean": "123.95551134903276", "retail_diff": "-14.87594742551681", "arb_diff": "-4.547552370382353" }, "4": { "n": "129", "sum_d": "0.0", "sum_d2": "0.0", "mean_diff": "0.0", "se": "0.0", "comparator_mean": "153.5829289972542", "candidate_mean": "153.5829289972542", "retail_diff": "0.0", "arb_diff": "0.0" } } }, { "key": "d5-s23-cancel-only-after-fill", "code_sha256": "1fe2d66c77c4353581d2e3136b4a1604514d9b8cbfbe510c3adaa4205108145b", "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f", "target_spreads": [ 2, 3 ], "selected_variant": "F5", "holdout_seeds": "440000..440499", "holdout_n": "500", "target_n": null, "target_mean_diff": null, "target_se": null, "target_ratio": null, "overall_mean_diff": "-0.0001647887544000426", "overall_se": "0.00013864566054321118", "retail_diff": "2.8004599997188962e-08", "arb_diff": "-0.0001648167587999767", "target_retail_diff": null, "target_arb_diff": null, "overall_comparator_mean": "101.4369248623788", "tuning_seeds": "330000..330199", "tuning_mean": "-3.8001905659847203e-06", "python_version": "3.12.3", "check_values": [ "17.5126554022", "20.6298693268", "2.3903113616", "248.006347259" ], "flag": "incomplete: no pooled target-spread (2,3) holdout statistic reported", "notes": null, "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": "-0.0013872982999991734", "sum_d2": "9.976258975454725e-07", "mean_diff": "-1.2611802727265213e-05", "se": "9.041326510864677e-06", "comparator_mean": "88.78927784058273", "candidate_mean": "88.78926522878", "retail_diff": "0.0", "arb_diff": "-1.2611802727265213e-05" }, "3": { "n": "119", "sum_d": "-0.08100707890002212", "sum_d2": "0.0048086235281629185", "mean_diff": "-0.0006807317554623708", "se": "0.0005818235896228023", "comparator_mean": "143.37780997585293", "candidate_mean": "143.3771292440975", "retail_diff": "1.1766638654281077e-07", "arb_diff": "-0.0006808494210083124" }, "4": { "n": "129", "sum_d": 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" }, { "key": "d5-s23-cancel-inward-join", "code_sha256": "1ede0a791e1562624d6a38f7922fa47f3ff147b68109b2c530bee16d44a31b47", "encoding": "gzip then base64 of the UTF-8 Python source; SHA-256 is of the decoded source", "code": 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" } ], "input_sources": { "d5-s2-retreat-posterior": "e3b809387a81ac08723238e83c79a23ad83d8b92597770e8350d1d72f7908444", "d5-s23-cancel-both-sides": "7eb85e8ebb6d4696c050c47e7a67d8205a861f40d37c081ee27389d517e45fa9", "d5-s23-cancel-inventory-gate": "43c34d3ab1e712473805a686cd0c007f752e997458cf697f32c273df89859104", "d5-s23-cancel-time-gate": "a84ef0f68266df0306d84c38f1e003737b220bcd6d6251564f8333047908591e", "d5-s23-cancel-only-after-fill": "ea489d53496dd7e4e2d37cf32b74eea9f561c8aed7390ddbaf1ab63ee4bf1526", "d5-s23-cancel-not-after-fill": "1979a60e70c5b9ccac00758227dd60c7d19e8cff640aa266fcaa753aad4b713d", "d5-s23-cancel-reentry-ladder": "cfd40fb6295d8de4f4f96f5d5154f0ecf11844f4cdf2797e33a3e1364936da7b", "d5-s23-cancel-inward-join": "b82ef81f0700180b12a712d5cf734d02d2c1032fe0741581be5128c7e134e9ed" } } ```