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Dashboard โ€บ Probes โ€บ Realness Loop โ€บ Iter 1 ยท SEAL

iteration 1 ยท 2026-07-22 ยท first firing ยท laptop-drives-bigblack

๐Ÿ”ฌ SEAL โ€” control-substrate self-validation SEAL-PASS

Before any instrument may judge a feature, the ruler itself must be checked against cases whose answer we already know. This iteration builds the four real-data-only controls and the shared IC + HAC detector, runs them on 870,304 real BTCUSDT bars, and confirms all four behave correctly. The lab is open.

4 / 4
controls validated
870,304
real bars (BTC@250, 3s)
2.34ร—
naive-SE understatement (HAC needed)
0 / 20
instruments grounded (unchanged)
Preflight (resource-only, per operator 2026-07-22): load1 0.38 (โ‰ค24) ยท 38 GiB free (โ‰ฅ8) ยท si/so 0 ยท ClickHouse active, readonly=2 accepted. Sidecar & kintsugi are intentionally stopped โ€” excluded from preflight by operator instruction. Compute wall 17.6 s, peak RSS 364 MB (caps 5c/5G/no-swap, never hit).

In plain English

A metric that claims "this feature is real" is only trustworthy if we've first shown it gets the known cases right. SEAL builds four such known cases entirely out of real market data (no invented numbers, per the no-synthetic-data rule) and checks the detector against each:

It also confirmed why the careful (HAC) statistics matter: the naรฏve textbook formula understates the real uncertainty by 2.34ร— here โ€” using it would manufacture false confidence. That exact figure was predicted in advance by an earlier probe (P1, ~2.3ร—), so it's a check we could score before running.

The four controls (technical)

ControlReal-data constructionResultGate
KNOWN-DUPLICATEexact clone of vwap_close_deviationSpearman ฯ = 1.000000; ฮ”IC = 0 (IC โˆ’0.31507 both)ฯ = 1 exactlyPASS
KNOWN-POSITIVEfeature[t] = r[t+1] (return look-ahead 1 bar)IC = ฯโ‚ = 0.132, HAC-t = 43.8 (naive-t 123.1); firesfires, \|HAC-t\|โ‰ฅ3PASS
KNOWN-NULLvwap_close_deviation ร— block-permuted target (L=100, 500 perms)HAC FWER = 0.002 (silent; max\|t\| 3.64)FWER โ‰ค 0.05PASS
POWER-vs-Ncontiguous subsample of KP signal, lag k*=29 (ฯ=0.064)power .09โ†’.12โ†’.29โ†’.66โ†’.84 โ‡’ N_min = 100,000N_min derivablePASS

HAC load-bearing (necessity): naive-iid SE understates the true SE by 2.34ร— on the real aligned measurement (P1-anchored ~2.3ร—) โ†’ naive manufactures significance; gate โ‰ฅ1.5 โœ…. Dialed-IC N_min calibration โ†’ UNVERIFIABLE-PARK (untraceable without generating data; only the achievable-effect N_min is reported).

Verify-before-report โ€” the necessity-leg correction trail

The four core controls passed on every run; the first two runs returned SEAL-FAIL on the necessity sub-gate only, each a harness mis-specification caught before trusting the number:
  1. Naive FWER on the block-permutation null โ€” that null destroys the featureโ†”target alignment, so its IC variance collapses to โ‰ˆ1/N and naive SE is coincidentally correct (naive = HAC = 0.002). Wrong vehicle.
  2. Naive FWER on a circular-shift null โ€” also naive = HAC = 0.008. The aligned product's persistence is signal-driven (IC โˆ’0.315), not marginal; a signal-free null isn't wide (ยง4: "the null lacks that structure").
  3. Deterministic real-aligned SE-understatement factor (adopted) = 2.34ร—, pre-anchored by P1 โ€” the correct, feature-invariant measure. The circular-shift FWER stays in the JSON as the null-structure diagnostic.
Not goalpost-moving: attempts 1โ€“2 measured naive-inflation on nulls where it provably cannot manifest for this feature; attempt 3 measures the intended concept with a statistic committed in advance.

Verdict & what's next

SEAL-PASS โ€” the four real-data controls and the Spearman-IC + Newey-West-HAC detector primitive are validated ground truth. The lab is open. The graduation ledger stays 0 GROUNDED (SEAL grades none of the 20).

Next iteration โ†’ #1 future-perturbation invariance (causality floor): corrupt post-decision bars in a read-only slice and require the verdict be bit-identical (V(f)==0). Then #0 CPCV purge/embargo. Substrate gate: both must ground or the campaign HALTS before the realness/utility instruments.