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I Luk Kim 090bfa8e36 Add contrarian feature analysis + v15 scoring (v6new.174-188) ... Data analysis revealed OBV Q1 (distribution) has 56.4% WR vs Q5 51.2% — contrarian signal confirmed. Previous OBV bonus was applied in wrong direction. Corrected with v15 scoring models. Best result: v6new.185 (entropy + risk 0.058) CW 274.4% but SQS 72.2, still below v6new.122 (72.4). WFV/robustness offsets CW gains. v6new.122 confirmed as optimal under current SQS v4 formula. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>		5 months ago
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backtester	Add contrarian feature analysis + v15 scoring (v6new.174-188)	5 months ago
paper_trader	Complete engine unification Phase 5-6: residual reserve + macro data	5 months ago
pipeline	feat: PEAD mid-cap strategy + pipeline hardening + README cleanup	5 months ago
qa	feat: implement Phase 3 -- LLM enrichment, labeler, review queue, dataset export	5 months ago
review	feat: implement Phase 3 -- LLM enrichment, labeler, review queue, dataset export	5 months ago
sync	feat: PEAD mid-cap strategy + pipeline hardening + README cleanup	5 months ago
tools	Add attention client and continue PEAD research	5 months ago
tracker	Add attention client and continue PEAD research	5 months ago
__init__.py	feat: implement ACE-F v1 Phase 1 -- Stock Oracle 기반 이벤트 파이프라인	5 months ago