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I Luk Kim 4d0e773ba0 feat: overhaul strategy — document quality > price momentum ... Flip scoring weights so event/document quality is primary signal (55%) and market confirmation is secondary (35%). Add research mode with kill-switch cooldown/reset, veto gates for bad events, reduced portfolio risk, and 4 diagnostic analysis scripts. Phase A: Research mode kill-switch reset, risk reduction (0.5%/trade, max 4 positions), bullish-only direction for all event types. Phase B: 2 new sub-scorers (parse_confidence, direction_clarity), 4 veto gates (oneoff risk, parse confidence, unknown/bearish direction). Phase C: signal_quality, event_type_decomposition, kill_switch_impact, concurrent_position analysis scripts. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>		5 months ago
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__init__.py	feat: implement Phase 4 -- event-driven backtester	5 months ago
test_allocator.py	feat: overhaul strategy — document quality > price momentum	5 months ago
test_calendar.py	feat: implement Phase 4 -- event-driven backtester	5 months ago
test_domain.py	feat: Phase 5 fundamental strategy improvements	5 months ago
test_execution.py	feat: Phase 5 fundamental strategy improvements	5 months ago
test_manifests.py	feat: implement Phase 4 -- event-driven backtester	5 months ago
test_metrics.py	feat: Phase 5 fundamental strategy improvements	5 months ago
test_scoring.py	feat: overhaul strategy — document quality > price momentum	5 months ago
test_selector.py	feat: Phase 5 fundamental strategy improvements	5 months ago
test_snapshot_store.py	feat: implement Phase 4 -- event-driven backtester	5 months ago
test_splits.py	feat: implement Phase 4 -- event-driven backtester	5 months ago