Per user requirement: dashboard presents per-period data as raw rolling means, no z-scoring/vol-norm.
New Task 9A (periods module) + StrategyDetail.periods + service wiring + strategy.html per-period section.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
ADR 0002 designs the real vision: a standing fleet of agents continuously breeding regime-specialist
strategies into an adaptively-allocated book, with multiple-testing-at-fleet-scale as the constraint the
whole architecture is built around (structured search + regime-conditioning + forward-validation +
global-N accounting = the moat). domain/regime: VolTrendClassifier (causal trend x volatility state) +
evaluate_by_regime (judge a strategy WITHIN each regime). Demo on real NQ: trend(200) is MARGINAL on the
full sample but a clear OOS-confirmed SPECIALIST in trend_up|low_vol (DSR 0.984, OOS +0.93), correctly
rejected in range/high-vol regimes — the architecture's thesis proven. 16/16 tests.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
