{
  "key": "d7-s1-bid-cancel-on-ask-down",
  "idea": "Cancel all bids on an exactly one-tick rival ask decline and suppress bids for a callback cooldown.",
  "spread": 1,
  "base_sha256": "5d1bd5272884f513b19f0e66a7c235f6c188a08e4f7787ac9346f1614dda3ed3",
  "approach": "Appended wrapper only; base body unchanged. After super().on_step, spread 1 alone detects an exactly one-tick ask decline, cancels all live bids once, and drops all bid placements including probes. Retriggers restart the cooldown. Removed bid observations and tracking are cleared to avoid phantom fills. Tune 1/2/3 callbacks on 350000..350149 by all-seed paired mean, freeze, then measure 460200..460699. Spread is inferred from first actual competitor quotes.",
  "tried": [
    {
      "callbacks": 1,
      "n": 150,
      "mean_diff": 0.05603638691933314,
      "se": 0.23344220615085473,
      "code_sha256": "77033439659b01ee45e6d5eec95fbf15dded0718c05a5f3bbc0abd61cc225757",
      "target_spread": {
        "n": 41,
        "complete": true,
        "missing_seeds": [],
        "failures": [],
        "comparator_mean": 58.0894182349439,
        "mean_diff": 0.20501117165609684,
        "se": 0.8613365041832401,
        "sum_d": 8.40545803789997,
        "sum_d2": 1218.440153239968,
        "retail_diff": -2.348029557609755,
        "arb_diff": 2.553040729321951
      }
    },
    {
      "callbacks": 2,
      "n": 150,
      "mean_diff": 0.0029118787079999227,
      "se": 0.24203872336588986,
      "code_sha256": "926bfe308723047c39c1349b2e4cb62297a05196d1000d128e0a3a538433aca4",
      "target_spread": {
        "n": 41,
        "complete": true,
        "missing_seeds": [],
        "failures": [],
        "comparator_mean": 58.0894182349439,
        "mean_diff": 0.01065321478536557,
        "se": 0.8935135286271677,
        "sum_d": 0.4367818061999884,
        "sum_d2": 1309.3255915076227,
        "retail_diff": -3.317119088368292,
        "arb_diff": 3.3277723032097564
      }
    },
    {
      "callbacks": 3,
      "n": 150,
      "mean_diff": -0.13338734020933346,
      "se": 0.24559103684567807,
      "code_sha256": "93f9cb28c14973af52955d4c834d3350e5d475fb50552da3d0cf4ced7d68393c",
      "target_spread": {
        "n": 41,
        "complete": true,
        "missing_seeds": [],
        "failures": [],
        "comparator_mean": 58.0894182349439,
        "mean_diff": -0.4880024641804883,
        "se": 0.9042393792546484,
        "sum_d": -20.00810103140002,
        "sum_d2": 1350.7081247984197,
        "retail_diff": -3.8443818308292697,
        "arb_diff": 3.3563793667439032
      }
    }
  ],
  "next": "Send the frozen candidate for independent finalist measurement; do not promote from this development holdout.",
  "code": 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",
  "code_sha256": "77033439659b01ee45e6d5eec95fbf15dded0718c05a5f3bbc0abd61cc225757",
  "tuning": {
    "n": 150,
    "mean_diff": 0.05603638691933314,
    "se": 0.23344220615085473
  },
  "holdout": {
    "n": 500,
    "complete": true,
    "missing_seeds": [],
    "failures": [],
    "comparator_mean": 95.40629995253501,
    "mean_diff": 0.6128049670033996,
    "se": 0.2942082330277827,
    "sum_d": 306.4024835016998,
    "sum_d2": 21784.106816933876,
    "retail_diff": 0.17312640944699995,
    "arb_diff": 0.43967855754799984
  },
  "by_spread": {
    "1": {
      "n": 128,
      "complete": true,
      "missing_seeds": [],
      "failures": [],
      "comparator_mean": 30.21701806900547,
      "mean_diff": 2.3937694023570297,
      "se": 1.1379571506941837,
      "sum_d": 306.4024835016998,
      "sum_d2": 21784.106816933876,
      "retail_diff": 0.6762750369023436,
      "arb_diff": 1.7174943654218744
    },
    "2": {
      "n": 123,
      "complete": true,
      "missing_seeds": [],
      "failures": [],
      "comparator_mean": 99.00925043335202,
      "mean_diff": 0.0,
      "se": 0.0,
      "sum_d": 0.0,
      "sum_d2": 0.0,
      "retail_diff": 0.0,
      "arb_diff": 0.0
    },
    "3": {
      "n": 131,
      "complete": true,
      "missing_seeds": [],
      "failures": [],
      "comparator_mean": 104.90118179050612,
      "mean_diff": 0.0,
      "se": 0.0,
      "sum_d": 0.0,
      "sum_d2": 0.0,
      "retail_diff": 0.0,
      "arb_diff": 0.0
    },
    "4": {
      "n": 118,
      "complete": true,
      "missing_seeds": [],
      "failures": [],
      "comparator_mean": 151.8235512336966,
      "mean_diff": 0.0,
      "se": 0.0,
      "sum_d": 0.0,
      "sum_d2": 0.0,
      "retail_diff": 0.0,
      "arb_diff": 0.0
    }
  },
  "off_target_zero": true,
  "worst_seeds": [
    {
      "seed": 460277,
      "s": 1,
      "d": -14.0179989258
    },
    {
      "seed": 460419,
      "s": 1,
      "d": -9.759624672400037
    },
    {
      "seed": 460440,
      "s": 1,
      "d": -7.484456989400002
    },
    {
      "seed": 460352,
      "s": 1,
      "d": -4.3920452198
    },
    {
      "seed": 460297,
      "s": 1,
      "d": -3.590113922700027
    }
  ],
  "seconds_per_simulation": {
    "candidate": 0.6781961640808731,
    "base": 0.7005206718313275
  },
  "check_values": {
    "310000": 17.1160017503,
    "310001": 23.8203924577,
    "310002": 2.3761435866,
    "310003": 243.8721397061
  },
  "python_version": "3.10.12",
  "notes": "Unmodified simulator b244530ee2a6247b5f930830eeca9dd950da0e7e; default sampled config, 2000 steps, one process, chunks of 50. No sandbox/workers. SE is sample SD of paired differences / sqrt(n). Overall means include off-target zeros; by_spread isolates effects. Tuning and holdout disjoint. No reserved seeds run. Target speed ratio 0.968132; 15% limit passed. Wrapper unit checks passed. No finalist promotion claimed."
}