feat: strategy parameter sweep and production param optimization
- Add independent backtest engine (backtester.py) with walk-forward support - Add backtest sanity check validator (backtest_validator.py) - Add CLI tools: run_backtest.py, strategy_sweep.py (with --combined mode) - Fix train-serve skew: unify feature z-score normalization (ml_features.py) - Add strategy params (SL/TP ATR mult, ADX filter, volume multiplier) to config.py, indicators.py, dataset_builder.py, bot.py, backtester.py - Fix WalkForwardBacktester not propagating strategy params to test folds - Update production defaults: SL=2.0x, TP=2.0x, ADX=25, Vol=2.5 (3-symbol combined PF: 0.71 → 1.24, MDD: 65.9% → 17.1%) - Retrain ML models with new strategy parameters Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -130,3 +130,4 @@ All design documents and implementation plans are stored in `docs/plans/` with t
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| 2026-03-04 | `oi-derived-features` (design + plan) | Completed |
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| 2026-03-05 | `multi-symbol-trading` (design + plan) | Completed |
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| 2026-03-06 | `multi-symbol-dashboard` (design + plan) | Completed |
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| 2026-03-06 | `strategy-parameter-sweep` (plan) | Completed |
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