AEM stays shadow-only this sprint (V7 drives live exits); changes affect
what AEM *would have done*, logged to CH for future V7→AEM demotion analysis.
adaptive_exit_engine.py:
- Replace single MAE_MULT_TIER1=3.5 with MAE_MULT_BY_BUCKET dict
(B3→None disables MAE stop, B4→2.0 strict, B6→6.0 wide band)
- evaluate() return dict extended: mae_mult_applied, mae_threshold,
atr, p_threshold, giveback_k (all params that drove the decision)
- adaptive_exit_shadow schema extended (new Nullable columns added via
ALTER TABLE IF NOT EXISTS — backward-compat with pre-sprint rows)
- log_shadow() signature extended: v7_action, v7_exit_reason,
naive_would_have (TP/STOP/MAX_HOLD counterfactual at same instant)
dolphin_actor.py:
- AEM shadow call now passes V7 head-to-head decision and naive
counterfactual so future retrospective requires no offline replay
- EsoF listener registered on DOLPHIN_FEATURES map (esof_advisor_latest
key); label fed into engine._current_esof_label before each step_bar
- S6/bucket loaders (_load_s6_size_table, _load_asset_bucket_data) and
constructor wiring for the new GREEN engine kwargs
Plan refs: Tasks 5, 7, 10 — V7 path untouched, AEM return value is
never gated, CH shadow is best-effort (daemon thread).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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