{
 "key": "d5-s23-cancel-only-after-fill",
 "idea": "cancel only when the retreat follows an own fill on that side (spreads 2 and 3); variants F=1,2,5",
 "approach": "Wrapper subclass appended to RC: tracks callbacks since state.buy_filled_quantity/sell_filled_quantity was last >0 (0 = fills reported this callback). RC's one-tick-retreat cancel/suppress fires on a side only if that age < F; otherwise the previous rival quote is hidden from RC's detector so RC's normal orders stand. Off-target spreads unchanged. Tighter gating hurt monotonically; F=5 nearly never binds, so it is ~RC.",
 "tried": [
  {
   "name": "F1",
   "code_sha256": "91a357aa86bcba6c7f7717708c7d5f737a478274d8bb3e373c481d680eaefafb",
   "mean_diff": -0.20937076494150875,
   "se": 0.0878751659417011,
   "n": 106
  },
  {
   "name": "F2",
   "code_sha256": "f09d319ab7beea46f6089453a1da290bc4fe350e8d19cef9002dd6ab654d67f4",
   "mean_diff": -0.020788766217924012,
   "se": 0.010810406194447394,
   "n": 106
  },
  {
   "name": "F5",
   "code_sha256": "1fe2d66c77c4353581d2e3136b4a1604514d9b8cbfbe510c3adaa4205108145b",
   "mean_diff": -3.8001905659847203e-06,
   "se": 3.6938897865439763e-06,
   "n": 106
  }
 ],
 "next": "Gating RC's retreat-cancel on recent own fills does not help: F=1 loses -0.21 (se 0.09) and F=2 -0.02 on spreads 2/3, F=5 is ~a no-op (differs on 2/200 tuning seeds). Retreats that RC acts on almost always follow an own fill within 5 callbacks; the unfilled-side cancels are part of RC's value. Drop this idea; look instead at widening what triggers the cancel (e.g., 2-tick retreats or fill-size thresholds).",
 "code": "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",
 "code_sha256": "1fe2d66c77c4353581d2e3136b4a1604514d9b8cbfbe510c3adaa4205108145b",
 "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f",
 "target_spreads": [
  2,
  3
 ],
 "tuning": {
  "seeds": "330000..330199",
  "selected": "F5",
  "selection_rule": "best paired mean_diff on target spreads 2 and 3",
  "variant_stats": {
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   "F5": {
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     "se": 3.6938897865439763e-06
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    "by_spread": {
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      "sum_d": -0.00039149639999891406,
      "sum_d2": 1.5326943121210972e-07,
      "mean_diff": -7.98972244895743e-06,
      "se": 7.98972244895743e-06,
      "comparator_mean": 112.87398754092447,
      "candidate_mean": 112.87397955120203,
      "retail_diff": 0.0,
      "arb_diff": -7.989722448975556e-06
     },
     "4": {
      "n": 40,
      "sum_d": 0.0,
      "sum_d2": 0.0,
      "mean_diff": 0.0,
      "se": 0.0,
      "comparator_mean": 162.4077324637125,
      "candidate_mean": 162.4077324637125,
      "retail_diff": 0.0,
      "arb_diff": 0.0
     }
    }
   }
  }
 },
 "paired": {
  "seeds": "440000..440499",
  "n": 500,
  "complete": true,
  "missing_seeds": [],
  "overall": {
   "n": 500,
   "sum_d": -0.0823943772000213,
   "sum_d2": 0.004809621154060464,
   "mean_diff": -0.0001647887544000426,
   "se": 0.00013864566054321118,
   "comparator_mean": 101.4369248623788,
   "candidate_mean": 101.43676007362441,
   "retail_diff": 2.8004599997188962e-08,
   "arb_diff": -0.0001648167587999767
  },
  "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": 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
   }
  },
  "note": "On off-target spreads (1,4) the candidate was not re-simulated: the appended wrapper only edits a value that RC reads after its own off-target early return, so its total equals RC exactly (verified by full simulation on seed 310002 (spread 1) and by the check runs); its records were copied from RC, giving d = 0."
 },
 "failures": [],
 "check_values": [
  17.5126554022,
  20.6298693268,
  2.3903113616,
  248.006347259
 ],
 "python_version": "3.12.3",
 "seconds_per_simulation": 9.600649998297,
 "notes": "Runs: simulator at commit b244530ee2a6247b5f930830eeca9dd950da0e7e unmodified, default ChallengeConfig/ParameterVariance, SimulationEngine(cfg, factory, seed=seed).run(), no --workers/--sandbox; each command single-process with at most 50 seeds, up to 8 such commands concurrently. A screen, not a promotion.",
 "code_encoding": "gzip+base64"
}