{
  "key": "d5-s23-cancel-requote",
  "idea": "Requote the retreating main side one or two ticks behind the rival on spreads 2 and 3.",
  "approach": "Keep RC cancellation and one-callback placement suppression. Expose unchanged RC qbid/qask sizing through a local hook; a final subclass appends one collateral-limited main order at rival bid minus distance or rival ask plus distance. Tune distances 1 and 2 on target spreads, then freeze the higher paired mean before the single holdout pass. Other spreads are unchanged.",
  "tried": [
    {
      "name": "behind1",
      "code_sha256": "ddcf605659776adb49cede061640346db2a2e5df1581a517603575c6ff060de8",
      "mean_diff": -2.4478773251283013,
      "se": 0.8230596821635575
    },
    {
      "name": "behind2",
      "code_sha256": "4658536536e8100883e4844e8080e74c6498ec018a92aa030039b823050a0cf1",
      "mean_diff": -0.9460903485471707,
      "se": 0.23066114456915102
    }
  ],
  "next": "Reject this mechanism and retain RC: the frozen candidate loses paired holdout edge, mainly from arbitrage. Screen only; no promotion and no finalist seeds used.",
  "code": 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",
  "code_sha256": "4658536536e8100883e4844e8080e74c6498ec018a92aa030039b823050a0cf1",
  "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f",
  "target_spreads": [
    2,
    3
  ],
  "tuning": {
    "seeds": [
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      330199
    ],
    "seed_bounds": "inclusive",
    "selected": "behind2",
    "selection_rule": "Largest paired mean on sampled spreads 2 and 3, seeds 330000..330199 inclusive; holdout never used for selection.",
    "variant_stats": {
      "behind1": {
        "name": "behind1",
        "code_sha256": "ddcf605659776adb49cede061640346db2a2e5df1581a517603575c6ff060de8",
        "target": {
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          "se": 0.8230596821635575,
          "comparator_mean": 99.0873714502934,
          "candidate_mean": 96.63949412516509,
          "retail_diff": 0.048281509963207604,
          "arb_diff": -2.4961588350801884
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        "paired": {
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          ],
          "n": 200,
          "complete": true,
          "missing_seeds": [],
          "overall": {
            "n": 200,
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            "candidate_mean": 96.1698463505935,
            "retail_diff": 0.02558920028050003,
            "arb_diff": -1.3229641825924998
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          "by_spread": {
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              "n": 54,
              "sum_d": 0.0,
              "sum_d2": 0.0,
              "mean_diff": 0.0,
              "se": 0.0,
              "comparator_mean": 46.182844338938885,
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              "retail_diff": 0.0,
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            "2": {
              "n": 57,
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              "mean_diff": -1.9497795807807028,
              "se": 0.3776032378122234,
              "comparator_mean": 87.23571902150526,
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            "3": {
              "n": 49,
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              "mean_diff": -3.0272971501857127,
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              "comparator_mean": 112.87398754092447,
              "candidate_mean": 109.84669039073877,
              "retail_diff": -0.2198945092816322,
              "arb_diff": -2.8074026408816315
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            "4": {
              "n": 40,
              "sum_d": 0.0,
              "sum_d2": 0.0,
              "mean_diff": 0.0,
              "se": 0.0,
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              "candidate_mean": 162.4077324637125,
              "retail_diff": 0.0,
              "arb_diff": 0.0
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          }
        }
      },
      "behind2": {
        "name": "behind2",
        "code_sha256": "4658536536e8100883e4844e8080e74c6498ec018a92aa030039b823050a0cf1",
        "target": {
          "n": 106,
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          "mean_diff": -0.9460903485471707,
          "se": 0.23066114456915102,
          "comparator_mean": 99.0873714502934,
          "candidate_mean": 98.14128110174623,
          "retail_diff": 0.05726819000754716,
          "arb_diff": -1.0033585385584907
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        "paired": {
          "seeds": [
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          ],
          "n": 200,
          "complete": true,
          "missing_seeds": [],
          "overall": {
            "n": 200,
            "sum_d": -100.28557694600009,
            "sum_d2": 687.0460094703676,
            "mean_diff": -0.5014278847300004,
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            "retail_diff": 0.030352140703999993,
            "arb_diff": -0.531780025436
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          "by_spread": {
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              "n": 54,
              "sum_d": 0.0,
              "sum_d2": 0.0,
              "mean_diff": 0.0,
              "se": 0.0,
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              "retail_diff": 0.0,
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            "2": {
              "n": 57,
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              "sum_d2": 568.6923106188268,
              "mean_diff": -1.1583402024596507,
              "se": 0.39268548975515527,
              "comparator_mean": 87.23571902150526,
              "candidate_mean": 86.07737881904562,
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