fcf379c759
Fix snapshot refresh: enable auto-rebuild, fix date-range edge cases, log incremental failures
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- registry.json: change _ftb_fix_v2 from manual_only to auto_full_rebuild so
backtest auto-refreshes when snapshot doesn't cover the requested period
- run.py: return [] (not all_trading_days fallback) when parking cap pushes
requested_end before requested_start, preventing silent wrong-date-range runs
- run.py: allow 1-trading-day lag tolerance in parking cap so a single lagging
symbol (e.g. QQQM shortly after close) doesn't cap the whole simulation
- backtest_sim.py: log incremental_update_failed_falling_back warning so
silent fallback to full rebuild is visible in direct-mode logs
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4 months ago
9095b376d9
Clean up superseded configs and commit accumulated R&D infrastructure
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Key changes:
- Delete superseded strategy configs: orb_gainers safe_v2-v9, orb_pullback, vwap_reclaim, hypergap, leader_safe
- Add V46 prior_event_types param to domain.py + run.py event type wiring
- Major simulator.py enhancements: sector thrust sleeve, sector proxy mapping, helper functions
- Improve screener.py with better scoring/filtering
- Add new test coverage: test_simulator.py (776 lines) + test_screener.py (313 lines)
- Add V24.1 research candidate configs (w002/w003/w004/entrycap/losscap010 variants)
- Add leader momentum research configs and sweep files
- Update configs/snapshots/registry.json with new strategy registrations
- Add docs/leader_intraday_momentum_workflow.md
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4 months ago
b3ba914a8d
Optimize v7 strategy: v7.356 achieves CW 2159% + SQS 90.7 (Pareto improvement over v7.314)
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Key changes from v7.314 baseline (CW 2012%, SQS 90.0):
- max_position_value_pct 15→25, non_a_tier_target_1_fraction 0.2→0
- max_daily_new_risk_pct 30→50 (via v7.330, CW champion 2148%)
- bullish_raised_recovery per_trade_risk_pct 0.71→0.55 (DD improvement)
- bullish_raised_recovery max_holding_days 12→10 (sweet spot, +98pp CW)
Result: v7.356 CW 2159% (+147pp), SQS 90.7 (+0.7), risk 66.2 (+2.9), robustness 94.3 (+0.5)
All metrics improved simultaneously — return increase AND DD reduction achieved.
Also includes: web UI updates, pipeline scripts, v16/v17/v18/v19 experiment pruning,
Form4 preset additions, snapshot registry updates, domain.py enhancements.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4 months ago
e38c314a09
Add ownership/risk-off sleeves, v17-v19 experiments, and web app restructure
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New features:
- Ownership 13D/13G residual-cash sleeve with PIT calendar and quality filters
- Risk-off alpha sleeve (GLD/DBC rotation on crisis regime signals)
- Crisis relay target in parking: evaluates before defensive relay
- Bearish symbol allocation split (bearish_alloc_pct + sgov remainder)
- Alternative defensive ETF candidate (cash_parking_defensive_alt_symbol)
- Composite eval and engine ablation tools
- experiment and overfit CLI apps
New experiments:
- v17.x series (v17.1 champion SQS 78.4; v17.5–v17.129 exhausted)
- v18.x and v19.x families from v12.8 OOT defense branch
- v7.119 composed variants (idle alpha + ownership + risk-off sleeves)
- parking_only configs: bufb, jepq, merix, regime_tiered
- empty_strategy baseline config
Web app:
- Restructured into routers/services modules (experiments, leaderboard, runs, sqs, docs)
- Ownership sleeve and risk-off sleeve controls in backtest UI
- Frontend: ComposeStrategy page, tradeSleeves lib, idle decomposition display
Research tools:
- Ownership 13D/13G probe and PIT cache builder
- Dividend capture probe and cache builder
- Insider Form4 idle alpha probe
- Alternative ETF parking probe, put-spread overlay probe
- Wikimedia low-attention and peer-relative idle alpha probes
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
4 months ago
I Luk Kim