Files
foxhunt/docs/superpowers
jgrusewski 0809390cd5 spec(ml-alpha): v2 deployability validation — falsifiable LOB-backtest verdict
Closes the wiring gap between the existing real-LOB backtest system (C1–C19 on
this branch) and the v2 ml-alpha model. alpha_train.rs currently never calls
save_checkpoint, so the LOB harness/sweep/aggregate machinery has never been
pointed at a real trained model.

Design defines a single-pass falsifiable deployability gate: produce a
production checkpoint (cv-n-folds=1, cv-train-window=4 → train on 2024
quarters, val on 2025-Q1, hold out 2025-Q2..2026-Q1), pre-register one
threshold on the W0 val window, then evaluate median Sharpe across 4
held-out walk-forward quarters at the realistic Scaleway→IBKR anchor (200ms
RTT, 1-tick all-in cost). Pass iff median > 1.0; inconclusive in [0.8, 1.0]
counts as fail; smoke gate halts the full sweep on any wiring failure.

Approved through brainstorming. Awaiting user spec-review before plan
handoff.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-19 00:26:48 +02:00
..