Ignition P0: pure detector + tests, and a decisive real-data finding
detect_momentum_ignition (strategy/evaluation/ignition.py): standalone, pure, binary-rule detector for a vertical squeeze (blue-sky fresh-HOD + price velocity + ABSOLUTE volume burst, NOT rvol/float). Stop = last established higher low (per operator). NOT wired into classify_setup (deliberately). 8 unit tests on synthetic verticals: fires with the right trigger/stop, and each gate blocks (not-blue-sky / not-new-HOD / velocity / volume / insufficient-bars / no-ATH). REALITY CHECK (verify, don't assume): ran it over the REAL PLSM 2026-06-24 bars -> 0 fires, CORRECTLY. PLSM's high was at the 9:35 ET open (it ran +400% PRE-MARKET, which we don't ingest), and in RTH it was HALTED 228 of ~390 minutes — a halt-resumption GAP chop (+3.6/-12.5/-17.3/-14.4% jumps), not a smooth vertical. A consecutive-bar detector structurally cannot see that. So the ignition opportunity is a PRE-MARKET + halt-resumption phenomenon -> capturing it needs pre-market bar ingestion + halt-aware gap detection + pre-market/halt trading (into the FCUV halt-down risk), a far bigger lift than an RTH detector. Documented front-and-center in docs/IGNITION_SETUP_SCOPE.md as a pre-P1 operator decision. The P0 detector + tests are a correct foundation regardless. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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@@ -75,6 +75,25 @@ squeeze logs once, not 1,895×), never emit `signal_ready`, never set a symbol "
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- **Catalyst tag** needs Ollama running that day — force-enable it for the shadow grading pass so news-backed vs not can be measured?
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- **Distinct-runner-n ≥30** may be unrealistic given runner sparsity — a Bayesian interval at low n instead of a point rate?
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## ⚠️ P0 reality-check (2026-06-25) — READ BEFORE P1
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The P0 detector is built + unit-tested (fires correctly on a clean synthetic vertical). But running
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it over the **real** PLSM 2026-06-24 bars fired **0 times — correctly** — and the *why* reshapes this
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whole effort:
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- PLSM's session HIGH (12.85) was made at the **9:35 ET open** (it gapped from ~$4 **pre-market**); RTH
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was then a day-long **fade**. The "+400% to $20" the trader cites happened **pre-market**, which the
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bot does not ingest (RTH-only `minute_bars`) or trade.
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- PLSM was **halted for 228 of ~390 RTH minutes** — its RTH move is **halt-resumption GAPS**
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(+3.6%, −12.5%, −17.3%, −14.4% …), NOT a smooth consecutive-bar vertical. A detector keyed on
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consecutive green bars + smooth velocity **structurally cannot** see a halt-gapped move.
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**Implication:** the momentum-ignition opportunity is largely a **pre-market + halt-resumption**
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phenomenon, not an RTH smooth-vertical one. Capturing it would need (a) **pre-market/extended-hours bar
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ingestion**, (b) **halt-aware, gap-up detection** (resumption gaps, not consecutive bars), and (c) the
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bot to **trade pre-market / halt resumptions** — which runs straight into the **halt-down blowup risk**
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(FCUV) the anti-chase guards exist to prevent. That is a far bigger lift than an RTH detector, and an
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operator decision before P1: invest in pre-market+halt data/logic, or shelve the ignition lane and bank
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the ORB/float work instead. The P0 detector + tests remain a correct foundation either way.
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## Hard constraints (non-negotiable)
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Shadow-only until forward data proves it · never touches the ORB book or anti-chase guards · ships dark
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(`SHADOW_IGNITION_ENABLED=0`) · binary rules, no fitting · do NOT gate on RVOL or float (both broken for
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