{
  "key": "d5-s23-cancel-until-return",
  "idea": "Keep retreated side blocked until rival quote returns inward, capped at K callbacks, spreads 2 and 3.",
  "approach": "Append an N-based wrapper replacing only RC cooldown: latch the first exactly-one-tick retreat level; suppress placements and cancel all own orders on that side until an inward quote or K callbacks including trigger. Further outward moves do not restart the cap. Clear RC probe/exposure bookkeeping. Select K by target-spread paired tuning mean, freeze, then screen once on disjoint holdout.",
  "tried": [
    {
      "name": "k3",
      "code_sha256": "48f96ecdebf27469699066e7f3bc9a06e11788c03f417f14ac1146cea7aa23e0",
      "tuning": {
        "mean_diff": 1.3558157495320782,
        "se": 2.822440939480265
      },
      "tuning_mean_diff": 1.3558157495320782,
      "se": 2.822440939480265
    },
    {
      "name": "k5",
      "code_sha256": "3fea08fe158a23b9e361e413ef32f17345d54718a114b4ca6c2d5e87bb865d10",
      "tuning": {
        "mean_diff": -1.069967388874526,
        "se": 3.360332601687051
      },
      "tuning_mean_diff": -1.069967388874526,
      "se": 3.360332601687051
    },
    {
      "name": "k10",
      "code_sha256": "dcb9df6e98ce002fc9d29d02412cd748c4f341e3608f40365f6c8cc881588691",
      "tuning": {
        "mean_diff": -5.93815313860566,
        "se": 3.7844697059602574
      },
      "tuning_mean_diff": -5.93815313860566,
      "se": 3.7844697059602574
    }
  ],
  "next": "Retain RC; do not advance K=3. The frozen holdout loses overall (-0.5360, SE 0.1677) and on target spreads (-1.1703, SE 0.3622). This is a screen, not a promotion; no finalist seeds were used.",
  "code": "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",
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  "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f",
  "target_spreads": [
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      "start": 330000,
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    "selected": "k3",
    "selection_metric": "paired mean_diff on spreads 2 and 3; greatest wins",
    "complete": true,
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