# Spec §3.6 + §3.1 — 4 walk-forward held-out windows × full grid.
# 7 × 4 × 5 × 4 = 560 cells. Fan out via scripts/argo-lob-sweep.sh.
# Verdict reads the cells at the realistic (1.0 tick, 200 ms) and stress
# (1.5 tick, 400 ms) anchors against the pre-registered threshold from
# config/ml/v2_prod_thresholds.json.
checkpoint: /feature-cache/alpha-perception-runs/__SHA__/trunk_best_h6000.bin
windows:
  - id: W1
    dbn_file: /data/futures-baseline-mbp10/ES.FUT/ES.FUT_2025-Q2.dbn.zst
  - id: W2
    dbn_file: /data/futures-baseline-mbp10/ES.FUT/ES.FUT_2025-Q3.dbn.zst
  - id: W3
    dbn_file: /data/futures-baseline-mbp10/ES.FUT/ES.FUT_2025-Q4.dbn.zst
  - id: W4
    dbn_file: /data/futures-baseline-mbp10/ES.FUT/ES.FUT_2026-Q1.dbn.zst
axes:
  cost_tick:  [0.0, 0.25, 0.5, 0.75, 1.0, 1.25, 1.5]
  latency_ms: [50, 100, 200, 400]
  threshold:  [0.70, 0.75, 0.80, 0.85, 0.90]
decision_stride: 1
horizons_used: [h6000]
gpu_pool: ci-training-l40s