Files
foxhunt/archive/reports/backtest_comparison_report.md
jgrusewski 2df1ea92e1 feat(ml): WAVE 29 DQN Codebase Cleanup & Refactoring Campaign
BREAKING CHANGES:
- Removed orphaned dqn.rs monolithic trainer (4,975 lines)
- Removed orphaned dqn_ensemble.rs module (816 lines)
- Removed orphaned tft.rs and tft_complete_int8_integration_test.rs
- TFT trainer split into modular directory structure

DQN Module Refactoring:
- Split trainers/dqn.rs into modular structure (config.rs, statistics.rs, trainer.rs)
- Fixed hyperopt 39D search space (continuous params only)
- Boolean flags (use_dueling, use_double_dqn, use_per, use_noisy_nets) are now FIXED architectural decisions
- use_distributional defaults to false (Candle BUG #36 - scatter_add gradient issues)

Clean Module Structure:
- ml/src/trainers/dqn/ directory with proper mod.rs exports
- ml/src/trainers/tft/ directory with config.rs, types.rs, model.rs, trainer.rs, tests.rs
- All P0 features validated: TD-error clamping, batch diversity, LR scheduler, priority staleness

Documentation:
- Added comprehensive docs in docs/codebase-cleanup/
- ADR-001 for DQN refactoring decisions
- Rainbow DQN component matrix and quick reference guides

Build Status: Compiles with zero errors

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-27 23:46:13 +01:00

58 lines
1.6 KiB
Markdown

# DQN Backtesting Report
**Model**: DQN-New-Model
**Baseline**: DQN-Trial35-Baseline
**Generated**: 2025-11-04 07:56:33 UTC
---
## Performance Summary
| Metric | Value | Target | Status |
|--------|-------|--------|--------|
| Total Return | 18.50% | >0% | ✅ |
| Sharpe Ratio | 2.50 | >1.5 | ✅ |
| Max Drawdown | 10.20% | <20% | ✅ |
| Win Rate | 62.0% | >50% | ✅ |
| Alpha vs B&H | 4.50% | >0% | ✅ |
## Comparison to Baseline
| Metric | Baseline | New Model | Change | Direction |
|--------|----------|-----------|--------|----------|
| Returns | 12.10% | 18.50% | +6.40% | ↗️ |
| Sharpe | 1.80 | 2.50 | +0.70 | ↗️ |
| Drawdown | 18.30% | 10.20% | -8.10% | ↗️ |
| Win Rate | 52.0% | 62.0% | +10.0% | ↗️ |
| Alpha | 1.50% | 4.50% | +3.00% | ↗️ |
## Trade Statistics
| Metric | Value |
|--------|-------|
| Total Trades | 150 |
| Avg Trade Return | 0.123% |
| Win Rate | 62.00% |
| Trades vs Baseline | +12 |
## Deployment Recommendation
**Status**: ✅ APPROVE - Ready for Production
Model passes 5/5 production criteria. Strong performance with 18.50% return, 2.50 Sharpe ratio, and 62.0% win rate. Risk is acceptable with 10.20% max drawdown. Model demonstrates profitability with 4.50% alpha vs buy-and-hold.
**Action**: Proceed with production deployment after final validation.
### Production Criteria Checklist
- **Criteria Passed**: 5/5
- **Total Return**: ✅ PASS (18.50% > 0%)
- **Sharpe Ratio**: ✅ PASS (2.50 > 1.5)
- **Max Drawdown**: ✅ PASS (10.20% < 20%)
- **Win Rate**: ✅ PASS (62.0% > 50%)
- **Alpha vs B&H**: ✅ PASS (4.50% > 0%)
---
*Report generated automatically by Foxhunt ML Evaluation Framework*