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Track A — Live paper trading system: - Extract PositionManager from backtester into shared src/position_manager.py - Refactor backtester/engine.py to delegate to PositionManager - New src/live/ package: data_feed (OANDA polling), executor (paper/live orders), engine (LiveEngine orchestrator with 5 strategy slots), run.py entry point - Add phase2 config to system.yaml (S7_Tight, S9, S9_Filtered, S4F, S3) Track B — Extended backtesting analytics: - Regime analysis: per-year (2021-2023) breakdown shows 4/5 strategies trending UP - Correlation analysis: S7+S3 GBP_JPY overlap=16.9% (moderate), S9 pairs=12% (low) - Kelly sizing: S9_Filtered half-Kelly=7.3%, S4F=2.4%, S3=1.6% with Monte Carlo DD Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>