You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
I Luk Kim 0797535047 Revert DB-first feature fix — Oracle real-time enrichment must be primary
The DB-first approach (prefer feature_json over Oracle recalculation) caused:
- LMND (+$782) and M (+$1,052) trades to disappear
- TEM loss to increase from -$321 to -$535
- Overall PnL drop from +$5,948 to +$3,078

Root cause: DB features were computed at a different time with different
Oracle data. When paper trader used DB values, the feature values didn't
match what the backtester's Parquet snapshot had, causing different
engine gate outcomes.

Paper trader must use Oracle real-time enrichment as primary source
(same as the original design). The volume_ratio_20d field name fix
is retained as that was a genuine bug.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
5 months ago
..
backtester Add v10 macro regime scoring (VIX+HY) and FRED macro features — SQS 59.1 (rejected) 5 months ago
paper_trader Revert DB-first feature fix — Oracle real-time enrichment must be primary 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