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I Luk Kim e2229646e6 Add oversold bounce engine experiments (v6new.259-264) — blocked by architecture
Bounce engine (buy negative reaction, bet on mean reversion) could not
execute: system architecture ties scoring to single model per backtest,
and selector/store indexes are optimized for positive-reaction PEAD.
Negative-reaction candidates get score=0 from PEAD scoring, blocking
engine selection regardless of engine-level threshold overrides.

Implementing bounce trades requires: dual scoring model support,
selector changes for negative-reaction candidate routing, and
store indexing changes. Deferred to future refactor.

Current best CW return: 293.2% (v6new.255)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
5 months ago
..
__init__.py feat: implement Phase 4 -- event-driven backtester 5 months ago
allocator.py Add technical/scientific feature experiments (v6new.106-173) and v6new.122 SQS 72.4 5 months ago
artifacts.py Add score and event_type to trade blotter output 5 months ago
attention.py Unify BacktestRunner and PaperTradingEngine trade decision logic 5 months ago
calendar.py feat: implement Phase 4 -- event-driven backtester 5 months ago
domain.py Add technical/scientific feature experiments (v6new.106-173) and v6new.122 SQS 72.4 5 months ago
execution.py Add score and event_type to trade blotter output 5 months ago
manifests.py Implement multi-engine PEAD strategy research workflow 5 months ago
metrics.py Recalibrate public SQS and exposure-aware tracking 5 months ago
scoring.py Add oversold bounce engine experiments (v6new.259-264) — blocked by architecture 5 months ago
selector.py Add attention-aware PEAD caps and promote step75 5 months ago
snapshot_store.py Implement multi-engine PEAD strategy research workflow 5 months ago
splits.py feat: implement Phase 4 -- event-driven backtester 5 months ago
tracker.py Add attention client and continue PEAD research 5 months ago