# r5-deepen merge 01: rival-retreat cancel variants against RC

**These are screening seeds, not finalist seeds.** Every holdout below is 440000..440499 (n=500), and every tuning run is 330000..330199. All eight items say they did not use the finalist seeds 900000..903999. None of these screens is a promotion, and the incumbent stays RC (`3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f`). Every item reports that as its `comparator_sha256`.

All statistics are copied from the eight item result files under `.imd/reads/artifacts/`, and the file SHA-256s are listed in `input_sources` below. This merge ran no simulations. The only value computed here is the ratio mean_diff/se, used to rank the rows. Code hashes were checked by decoding each `code` field and hashing it: all eight match their stated `code_sha256`.

## Ranked table (by target-spread holdout mean_diff / se)

| rank | key | code_sha256 | target spreads | holdout n (target n) | target mean_diff | target se | t | overall mean_diff | overall se | retail_diff (overall) | arb_diff (overall) | tuning mean (target, selected variant) | flag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | d5-s4-cancel-port | `ed16c3905ac1a782b38421802ab21b9ff6c227ecd8f21843e6ac97cd95a4e334` | 4 | 500 (129) | 0.3594 | 0.2620 | 1.37 | 0.0927 | 0.0678 | -0.0647 | 0.1574 | 0.4835 (se 0.2271, both_c1) | none |
| 2 | d5-s1-cancel-any-outward | `fc0a875298dd9794bed078afc680f315e283599117c78e347ccf3d75b90972fb` | 1 | 500 (142) | 0.2306 | 0.6703 | 0.34 | 0.0655 | 0.1899 | -0.1513 | 0.2168 | -6.3722 (se 5.1040, s1-ge2-or-vanish-one-callback) | none |
| 3 | d5-s1-cancel-port | `84ff682556a38e2daefd073db0fb53f0e64c495cc23f17bd3ba4fd312e32ba64` | 1 | 500 (142) | 0.3945 | 2.8929 | 0.14 | 0.1120 | 0.8196 | -1.0664 | 1.1784 | 4.2314 (se 6.4034, both1) | none |
| 4 | d5-s4-cancel-any-outward | `75d22b638c864441e76783ca5898bbee9dc3213d6997d664cce346312ed6350b` | 4 | 500 (129) | -0.1019 | 0.1713 | -0.59 | -0.0263 | 0.0441 | -0.0171 | -0.0092 | 0.0867 (se 0.2433, s4-ge2-or-vanish-one-callback) | none |
| 5 | d5-s23-cancel-size-cut | `9974c0c38a8b378357903b0b2e54d0126c000d72ef161eab97e1c31bb739174e` | 2,3 | 500 (229) | -0.2346 | 0.1324 | -1.77 | -0.1074 | 0.0608 | -0.0588 | -0.0486 | -0.4035 (se 0.2333, f025_c2) | failures listed (2); comparator_mean 101.43743449131 differs from other rows' 101.4369248623788 |
| 6 | d5-s23-cancel-until-return | `48f96ecdebf27469699066e7f3bc9a06e11788c03f417f14ac1146cea7aa23e0` | 2,3 | 500 (229) | -1.1703 | 0.3622 | -3.23 | -0.5360 | 0.1677 | -0.3747 | -0.1613 | 1.3558 (se 2.8224, k3) | none |
| 7 | d5-s23-cancel-two-tick | `13c3bc8ec38101c47067d97cae1a6fcb7f37bd07fcad659d027a71aff4763194` | 2,3 | 500 (n/r) | n/r | n/r | n/r | -0.0911 | 0.0208 | -0.0167 | -0.0744 | -0.2749 (se 0.1209, outward) | comparator_mean 101.43743449131003 differs from other rows' 101.4369248623788; incomplete: pooled target-spread statistic not reported |
| 8 | d5-s23-cancel-requote | `4658536536e8100883e4844e8080e74c6498ec018a92aa030039b823050a0cf1` | 2,3 | 500 (n/r) | n/r | n/r | n/r | -0.7233 | 0.1196 | 0.0204 | -0.7437 | -0.9461 (se 0.2307, behind2) | incomplete: pooled target-spread statistic not reported |

n/r means not reported. Rows 7 and 8 have no pooled target-spread figure, so they are listed after the ranked rows, ordered by overall mean_diff/se. Their per-spread holdout values are in `rows[].by_spread`.

## Findings

- **No candidate clears the promotion bar.** The best screen is d5-s4-cancel-port. It ports RC's exactly-one-tick cancel-and-suppress to spread 4, on both sides, for one callback. On spread 4 it gained +0.3594 (se 0.2620, t of about 1.37), which is under 2 se. Its own `next` says: "holdout gain is below twice its standard error, so do not promote". It is the only port with a positive tuning score above 2 se (both_c1 +0.4835, se 0.2271) and a positive holdout point estimate. That makes it the strongest candidate for a finalist-seed replication, but it is not a result.
- **Spread 1 ports are noise-dominated.** For d5-s1-cancel-port (both1) the reported gain is +0.3945 with se 2.8929. Its `next` says the arbitrage reduction (+4.149) is offset by lost retail edge (-3.755). d5-s1-cancel-any-outward, which triggers on retreats of 2 ticks or more or on a rival side vanishing, scored -6.37 (se 5.10) in tuning and +0.2306 (se 0.6703) on holdout. Neither result is significant.
- **d5-s4-cancel-any-outward is about zero:** -0.1019 (se 0.1713) on spread 4.
- **The spread 2/3 modifications of RC's existing trigger all lose on holdout.** Each one gives a negative point estimate on the target spreads:
  - until-return with K=3: -1.1703, se 0.3622 (pooled 2+3).
  - requote 2 ticks behind: spread 2 -1.9270 (se 0.3987), spread 3 -1.2576 (se 0.3073). Mostly arbitrage: overall arb_diff -0.7437.
  - two-tick/any-outward trigger: spread 2 -0.1163 (se 0.0407), spread 3 -0.2754 (se 0.0763).
  - size-cut f=0.25, cooldown 2: pooled -0.2346 (se 0.1324).
  Read together, RC's exactly-one-tick, one-callback cancel on spreads 2/3 is a local optimum among these variants. Widening the trigger, holding the block longer, requoting behind the rival, or shrinking orders instead of cancelling all did worse.
- **Results disagree on tuning versus holdout.** until-return k3 tuned +1.3558 (se 2.8224) but lost on holdout. d5-s1-cancel-port tuned +4.2314 (se 6.4034), and its holdout was about zero. Both tuning scores had large se, and the holdouts did not replicate them.

## Flags and caveats

- **Comparator mismatch.** d5-s23-cancel-two-tick and d5-s23-cancel-size-cut report a holdout comparator_mean of 101.43743449131003 and 101.43743449131 respectively. The other six report 101.4369248623788. Their RC spread-3 and spread-4 comparator means also differ: 143.37901 vs 143.37781 on spread 3. Those two items ran on Python 3.9.6 and Python 3.11.14; the other six report Python 3.12.3. size-cut's tuning comparator, 97.4474521001025, also differs from the others' 97.4672213329115. Both rows are flagged. Their paired differences are internally consistent against their own RC run, but they are not on exactly the same RC baseline as the other rows.
- **d5-s23-cancel-size-cut lists two failures.** The first was an aborted first tuning attempt (`quantity must be positive after rounding`), which the item says it re-ran from scratch after flooring scaled quantities at 0.01. The second was a tool-setup failure: system git and python3 were unavailable, so the item used Homebrew Python 3.11.14.
- **d5-s23-cancel-requote and d5-s23-cancel-two-tick report no pooled target-spread holdout statistic.** Only per-spread figures are given. Both are flagged incomplete, and no pooled value was recomputed here. two-tick also reports its check_values as an unkeyed list. The four values equal the reference values the other items give for seeds 310000..310003 (17.5126554022, 20.6298693268, 2.3903113616, 248.006347259). The other seven report keyed check values that match.
- **No item has an `off_equals_rc` field.** Several items instead state that off-target differences are exactly zero (`off_target_differences_exactly_zero`, `off_target_exact_zero`, `off_target_exact_equality`, `off_target_d_exactly_zero`). The copied by_spread data show 0.0 differences on all non-target spreads for every row.
- **Unconfirmed sources.** The task notes that d5-s23-cancel-requote and d5-s23-cancel-size-cut each cite one source that did not hold when re-read. Neither result file contains a URL or a sources field, so it cannot be identified which claim the failed source supported. Their numeric results come from their own simulation runs, not from the source. Both are rejections with negative point estimates, so the failed source does not change any conclusion here. Still, treat their descriptive claims, such as the simulator minimum lot of 0.01 shares cited by size-cut, as unverified.
- **t-ratios on non-target spreads** are not meaningful; they are always 0.0 by construction.

## Top two unflagged rows

These are ranked by target mean_diff/se: 1) d5-s4-cancel-port, 2) d5-s1-cancel-any-outward. Neither is an overlay, so `assembled_sha256` does not apply. Each `code` is the complete strategy file, gzip-compressed then base64-encoded. Decode with `base64 -d | gunzip`, and the result should hash to `code_sha256`. d5-s4-cancel-port's code is the item's own gzip+base64 string. d5-s1-cancel-any-outward was delivered as plain text and was gzip+base64-encoded here; it was checked to decode to the stated hash.

```json
{
 "note": "screening seeds 440000..440499 (holdout) and 330000..330199 (tuning); not finalist seeds",
 "incumbent_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f",
 "promoted": false,
 "rows": [
  {
   "key": "d5-s4-cancel-port",
   "code_sha256": "ed16c3905ac1a782b38421802ab21b9ff6c227ecd8f21843e6ac97cd95a4e334",
   "code_hash_verified": true,
   "target_spreads": [
    4
   ],
   "holdout_seeds": "440000..440499",
   "holdout_n": 500,
   "target_n": 129,
   "target_source": "paired.by_spread[4]",
   "target_mean_diff": 0.35943743800000255,
   "target_se": 0.2619865408197737,
   "target_retail_diff": -0.2507296219666557,
   "target_arb_diff": 0.6101670600108555,
   "overall_mean_diff": 0.09273485900400065,
   "overall_se": 0.06776416700534707,
   "retail_diff": -0.06468824246741178,
   "arb_diff": 0.1574231014827987,
   "comparator_mean": 101.4369248623788,
   "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f",
   "tuning_selected": "both_c1",
   "tuning_mean": 0.4834910561,
   "tuning_se": 0.2271084823821434,
   "tuning_seeds": "330000..330199",
   "python_version": "3.12.3",
   "check_values": "keyed; equal reference",
   "failures": [],
   "flag": [],
   "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": 46.36742950200033,
     "sum_d2": 1149.9994683544242,
     "mean_diff": 0.35943743800000255,
     "se": 0.2619865408197737,
     "comparator_mean": 153.5829305298,
     "candidate_mean": 153.9423679678,
     "retail_diff": -0.2507296219666557,
     "arb_diff": 0.6101670600108555
    }
   }
  },
  {
   "key": "d5-s1-cancel-any-outward",
   "code_sha256": "fc0a875298dd9794bed078afc680f315e283599117c78e347ccf3d75b90972fb",
   "code_hash_verified": true,
   "target_spreads": [
    1
   ],
   "holdout_seeds": "440000..440499",
   "holdout_n": 500,
   "target_n": 142,
   "target_source": "paired.by_spread[1]",
   "target_mean_diff": 0.23058733526338024,
   "target_se": 0.6702757736439029,
   "target_retail_diff": -0.5328212158528177,
   "target_arb_diff": 0.7634085511197183,
   "overall_mean_diff": 0.0654868032148,
   "overall_se": 0.1899338787930362,
   "retail_diff": -0.15132122530220024,
   "arb_diff": 0.216808028518,
   "comparator_mean": 101.4369248623788,
   "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f",
   "tuning_selected": "s1-ge2-or-vanish-one-callback",
   "tuning_mean": -6.372156876712965,
   "tuning_se": 5.103974636664564,
   "tuning_seeds": "330000..330199",
   "python_version": "3.12.3",
   "check_values": "keyed; equal reference",
   "failures": [],
   "flag": [],
   "by_spread": {
    "1": {
     "n": 142,
     "sum_d": 32.743401607399996,
     "sum_d2": 9002.826399882906,
     "mean_diff": 0.23058733526338024,
     "se": 0.6702757736439029,
     "comparator_mean": 28.7146791778493,
     "candidate_mean": 28.945266513112674,
     "retail_diff": -0.5328212158528177,
     "arb_diff": 0.7634085511197183
    },
    "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-s1-cancel-port",
   "code_sha256": "84ff682556a38e2daefd073db0fb53f0e64c495cc23f17bd3ba4fd312e32ba64",
   "code_hash_verified": true,
   "target_spreads": [
    1
   ],
   "holdout_seeds": "440000..440499",
   "holdout_n": 500,
   "target_n": 142,
   "target_source": "paired.by_spread[1]",
   "target_mean_diff": 0.39447794416760634,
   "target_se": 2.892944389473897,
   "target_retail_diff": -3.7549659975542267,
   "target_arb_diff": 4.149443941716902,
   "overall_mean_diff": 0.1120317361436002,
   "overall_se": 0.8195567673518293,
   "retail_diff": -1.0664103433054004,
   "arb_diff": 1.1784420794476,
   "comparator_mean": 101.4369248623788,
   "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f",
   "tuning_selected": "both1",
   "tuning_mean": 4.231431239409259,
   "tuning_se": 6.403441411555579,
   "tuning_seeds": "330000..330199",
   "python_version": "3.12.3",
   "check_values": "keyed; equal reference",
   "failures": [],
   "flag": [],
   "by_spread": {
    "1": {
     "n": 142,
     "sum_d": 56.0158680718001,
     "sum_d2": 167588.76263554065,
     "mean_diff": 0.39447794416760634,
     "se": 2.892944389473897,
     "comparator_mean": 28.7146791778493,
     "candidate_mean": 29.109157122016903,
     "retail_diff": -3.7549659975542267,
     "arb_diff": 4.149443941716902
    },
    "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-s4-cancel-any-outward",
   "code_sha256": "75d22b638c864441e76783ca5898bbee9dc3213d6997d664cce346312ed6350b",
   "code_hash_verified": true,
   "target_spreads": [
    4
   ],
   "holdout_seeds": "440000..440499",
   "holdout_n": 500,
   "target_n": 129,
   "target_source": "paired.by_spread[4]",
   "target_mean_diff": -0.10185660535038585,
   "target_se": 0.17127305896891076,
   "target_retail_diff": -0.06624134636434037,
   "target_arb_diff": -0.035615258957364504,
   "overall_mean_diff": -0.02627900418039955,
   "overall_se": 0.04410606943626776,
   "retail_diff": -0.017090267361999815,
   "arb_diff": -0.009188736811000043,
   "comparator_mean": 101.4369248623788,
   "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f",
   "tuning_selected": "s4-ge2-or-vanish-one-callback",
   "tuning_mean": 0.08668694766000314,
   "tuning_se": 0.2433468774469942,
   "tuning_seeds": "330000..330199",
   "python_version": "3.12.3",
   "check_values": "keyed; equal reference",
   "failures": [],
   "flag": [],
   "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": -13.139502090199775,
     "sum_d2": 485.70896062901664,
     "mean_diff": -0.10185660535038585,
     "se": 0.17127305896891076,
     "comparator_mean": 153.5829305298,
     "candidate_mean": 153.48107392444962,
     "retail_diff": -0.06624134636434037,
     "arb_diff": -0.035615258957364504
    }
   }
  },
  {
   "key": "d5-s23-cancel-size-cut",
   "code_sha256": "9974c0c38a8b378357903b0b2e54d0126c000d72ef161eab97e1c31bb739174e",
   "code_hash_verified": true,
   "target_spreads": [
    2,
    3
   ],
   "holdout_seeds": "440000..440499",
   "holdout_n": 500,
   "target_n": 229,
   "target_source": "paired.target",
   "target_mean_diff": -0.23457572740567562,
   "target_se": 0.1324167608574923,
   "target_retail_diff": -0.12845643623842762,
   "target_arb_diff": -0.1061192911733626,
   "overall_mean_diff": -0.10743568315179944,
   "overall_se": 0.060800447728039414,
   "retail_diff": -0.058833047797199854,
   "arb_diff": -0.04860263535740007,
   "comparator_mean": 101.43743449131,
   "comparator_sha256": "3c07bdcd221ac25729c3ebc92b21ac9e2014510ecb85816c4391ed81e933291f",
   "tuning_selected": "f025_c2",
   "tuning_mean": -0.40349573248490606,
   "tuning_se": 0.2332606608383761,
   "tuning_seeds": "330000..330199",
   "python_version": "3.11.14",
   "check_values": "keyed; equal reference",
   "failures": [
    {
     "stage": "Initial tuning attempt before minimum-lot repair",
     "seed": 330001,
     "strategy": "f025_c1",
     "error": "orderbook_pm_challenge.market.OrderBookError: quantity must be positive after rounding",
     "resolution": "Restarted all four variants and RC on the full tuning seed range after flooring scaled quantities at 0.01. Initial aborted attempt excluded from statistics. No changes after freeze."
    },
    {
     "stage": "Tool setup",
     "error": "System git and /usr/bin/python3 failed: missing xcrun active developer path.",
     "resolution": "Fetched pinned source archive via HTTPS and used available Homebrew Python 3.11.14."
    }
   ],
   "flag": [
    "failures listed (2)",
    "comparator_mean 101.43743449131 differs from other rows' 101.4369248623788"
   ],
   "by_spread": {
    "1": {
     "n": 142,
     "sum_d": 0.0,
     "sum_d2": 0.0,
     "mean_diff": 0.0,
     "se": 0.0,
     "comparator_mean": 28.71546842461831,
     "candidate_mean": 28.71546842461831,
     "retail_diff": 0.0,
     "arb_diff": 0.0
    },
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"
  },
  {
   "key": "d5-s1-cancel-any-outward",
   "code_sha256": "fc0a875298dd9794bed078afc680f315e283599117c78e347ccf3d75b90972fb",
   "encoding": "gzip+base64",
   "code": 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"
  }
 ],
 "input_sources": {
  "d5-s1-cancel-port": "56823a6233d47a24db9cab8374ec79976e5abc5277a53d4f75e64b9ea889b1c5",
  "d5-s4-cancel-port": "ff5030ab2cd0dbb543e688c151d388ce2f9358c2e1fbe6756bf37cea286074e5",
  "d5-s1-cancel-any-outward": "a4c5b953a777702f9df1d2540d06276900b808d9fd0ed0587dc81756775bed88",
  "d5-s4-cancel-any-outward": "ad6e4273c46fb6a27788e692d51db4574763cf039d5639e4826114d23eae2bf2",
  "d5-s23-cancel-two-tick": "2057013b7399355d53b3b30e30601ad582b66d9fd8f621a4a1a81aadc44f5234",
  "d5-s23-cancel-requote": "aa17d9609090fe1968903281d08791d5849fa1aa7097374e0c501a56e963f332",
  "d5-s23-cancel-size-cut": "be630e8ea71bd44b738164be1136339fb72692b4b503e6b10619f831934afaf6",
  "d5-s23-cancel-until-return": "631c6faef183be6d2b6a249aee5360df5b772b223cb4fbc372f37e6540ab0bd5"
 }
}
```