feat: DailyReviewer for market-scoped scorecards and AI lessons (issue #91)

Generate per-market daily scorecards from decision_logs and trades,
optional Gemini-powered lessons, and store results in L6 context.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

src/evolution/__init__.py

@@ -1,6 +1,7 @@
 """Evolution engine for self-improving trading strategies."""
 
 from src.evolution.ab_test import ABTester, ABTestResult, StrategyPerformance
+from src.evolution.daily_review import DailyReviewer
 from src.evolution.optimizer import EvolutionOptimizer
 from src.evolution.performance_tracker import (
     PerformanceDashboard,
@@ -18,4 +19,5 @@ __all__ = [
     "PerformanceDashboard",
     "StrategyMetrics",
     "DailyScorecard",
+    "DailyReviewer",
 ]