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I Luk Kim b3ba914a8d Optimize v7 strategy: v7.356 achieves CW 2159% + SQS 90.7 (Pareto improvement over v7.314) ... Key changes from v7.314 baseline (CW 2012%, SQS 90.0): - max_position_value_pct 15→25, non_a_tier_target_1_fraction 0.2→0 - max_daily_new_risk_pct 30→50 (via v7.330, CW champion 2148%) - bullish_raised_recovery per_trade_risk_pct 0.71→0.55 (DD improvement) - bullish_raised_recovery max_holding_days 12→10 (sweet spot, +98pp CW) Result: v7.356 CW 2159% (+147pp), SQS 90.7 (+0.7), risk 66.2 (+2.9), robustness 94.3 (+0.5) All metrics improved simultaneously — return increase AND DD reduction achieved. Also includes: web UI updates, pipeline scripts, v16/v17/v18/v19 experiment pruning, Form4 preset additions, snapshot registry updates, domain.py enhancements. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>		4 months ago
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__init__.py	feat: implement ACE-F v1 Phase 1 -- Stock Oracle 기반 이벤트 파이프라인	5 months ago
builder.py	Optimize v7 strategy: v7.356 achieves CW 2159% + SQS 90.7 (Pareto improvement over v7.314)	4 months ago
event_features.py	Add earnings surprise feature pipeline and snapshot export improvements	5 months ago
financial_features.py	implement Phase 2 gap items: backfill CLI, retry, financial features	5 months ago
intraday_features.py	Add overlay engine, ranking models, snapshot pipelines, and research tools	5 months ago
market_features.py	Add technical/scientific feature experiments (v6new.106-173) and v6new.122 SQS 72.4	5 months ago
text_features.py	feat: PEAD mid-cap strategy + pipeline hardening + README cleanup	5 months ago