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P6: ML Feedback Integrator (18 tests) - MLFeedbackMixin for QuantRDLoop - Auto-trigger ML training every 500 factors - Feature importance → prompt feedback P7: Portfolio Optimizer (28 tests) - Mean-Variance optimization (max Sharpe) - Risk Parity (equal risk contribution) - Correlation analysis (max 0.3) - Portfolio backtest with weighted signals P8: Integration Tests (27 tests) - End-to-end pipeline test - Parallelization test (4 workers) - RiskMgmt compliance test - Error handling test P9: Documentation - QWEN.md updated with all new modules - Project status updated - Architecture diagram expanded 73 tests passing in 0.48s