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I Luk Kim 354f7a1716 feat: add rule-based entry score model for backtester
Replace naive abs(reaction_day_return) fallback with a composite score
from 4 market microstructure features available at entry time:

  1. Reaction quality  (35%) — moderate positive return (PEAD zone) is
     ideal; extreme positives penalized as "priced in"
  2. Close strength    (30%) — close near session high = buyers won
  3. Volume conviction (20%) — 1.2-2x is healthy; >3x is exhaustion
  4. Gap quality       (15%) — small positive gap = orderly strength

Real data results (14 events, b1868603 snapshot):
  - Score filters out 6 of 10 losers (DDOG -11.7%, META -9.1%, etc.)
  - With threshold 0.5: return -2.63% → +0.27%, drawdown 4.24% → 0.86%
  - Profit factor 0.44 → 1.16 (turns profitable)
  - MSFT loss (-8.7%) is macro-driven, not predictable from stock features

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
5 months ago
apps fix: correct equity calculation — use market value, not unrealized PnL 5 months ago
configs feat: add rule-based entry score model for backtester 5 months ago
dev feat: implement Phase 3 -- LLM enrichment, labeler, review queue, dataset export 5 months ago
docker feat: implement ACE-F v1 Phase 1 -- Stock Oracle 기반 이벤트 파이프라인 5 months ago
libs feat: add rule-based entry score model for backtester 5 months ago
tests feat: add rule-based entry score model for backtester 5 months ago
.env.example feat: implement Phase 3 -- LLM enrichment, labeler, review queue, dataset export 5 months ago
.gitignore feat: implement ACE-F v1 Phase 1 -- Stock Oracle 기반 이벤트 파이프라인 5 months ago
.python-version feat: implement ACE-F v1 Phase 1 -- Stock Oracle 기반 이벤트 파이프라인 5 months ago
Makefile feat: implement ACE-F v1 Phase 1 -- Stock Oracle 기반 이벤트 파이프라인 5 months ago
alembic.ini feat: implement ACE-F v1 Phase 1 -- Stock Oracle 기반 이벤트 파이프라인 5 months ago
docker-compose.yml feat: implement ACE-F v1 Phase 1 -- Stock Oracle 기반 이벤트 파이프라인 5 months ago
pyproject.toml feat: implement ACE-F v1 Phase 1 -- Stock Oracle 기반 이벤트 파이프라인 5 months ago