Regime gate (plan 011): deploy-wire the shadow pipeline + on-demand admin trigger + prod backtest

The session-level metalabel P(our ORB profits today) — the one lever that
survives out-of-sample. Backtested on 266 prod sessions (walk-forward):

  trade-always (trained subset): -0.111R/session, 36% hit
  meta_v1 GATED (trades best ~32% of days): -0.004R/session, 48% hit
  delta +0.107R in-sample, +0.128R OOS (recent 80 sessions), improves across folds

It does NOT make the bot profitable — it takes a bleeding strategy to roughly
flat by sitting out the worst ~2/3 of sessions. threshold_v1 rule gates too
little to matter; meta_v1 (walk-forward GBM) is the signal. Leaky full-fit
(+0.61R) >> walk-forward confirms the discipline was load-bearing; the OOS
holding is the evidence the +0.078R is real, not look-ahead.

Changes:
- research/regime.py: batch minute-bar load per session (64k per-fire round-trips
  -> ~266 queries; fixed a >5min build to ~3min) + incremental label pass (skip
  already-labeled sessions; --rebuild forces full). Nightly cost now ~one new day.
- docker-compose.yml + truenas-compose.yml: scheduler runs build-features + score
  (both models) before `experiments run`, nightly. ALL-SHADOW — does NOT gate live
  trading (that stays owner-gated Step 5).
- admin_api.py + admin.html: POST /api/regime/run (detached) + GET /api/regime/status
  + a Run/Status button — the panel had no way to trigger this.
- plans/011 + docs/research/regime_notes.md (6-book distillation) + plans 008/009 docs.

Prod state (shadow, rollback = DROP regime_features/regime_scores + DELETE
experiments WHERE id LIKE 'regime%'): 266 feature rows, 532 scores, 2 experiments
registered.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

deploy/docker/truenas-compose.yml

@@ -205,6 +205,14 @@ services:
             # NOT look-ahead (replay is a labeling job, not a live gate).
             python eod_replay.py || echo "[scheduler] eod_replay FAILED"
             python nightly_tune.py || echo "[scheduler] nightly_tune FAILED"
+            # Regime gate (plan 011, ALL-SHADOW): a session-level metalabel
+            # P(our ORB profits today). build-features labels each session from its
+            # OWN realized expR; score writes the WALK-FORWARD favorable flag the
+            # experiments' regime_gate intervention reads. Must run BEFORE
+            # experiments run. Does NOT gate live trading (that is owner-gated).
+            python -m research.regime build-features || echo "[scheduler] regime build-features FAILED"
+            python -m research.regime score --model threshold_v1 || echo "[scheduler] regime score threshold FAILED"
+            python -m research.regime score --model meta_v1 || echo "[scheduler] regime score meta FAILED"
             # Experiment OS (plan 006, ALL-SHADOW): replay running experiments over
             # newly-logged fires, then adjudicate against pre-registered bars.
             python -m research.experiments run || echo "[scheduler] experiments run FAILED"