Feat/integration #5
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- fix package-relative imports in portfolio modules to support pytest and package execution - add `rebalance_portfolio_with_behavior()` to `portfolio_api.py` to route user text through NLP, latent-state inference, theta-to-config selection, and rebalance execution - add `should_trigger_rebalance()` in `portfolio_api.py` to gate rebalancing based on theta values - add `tests/test_behavior_pipeline.py` to verify behavior-pipeline integration and config handoff into the portfolio layer
…t dashboard - add hypothesis-specific simulation and evaluation flows for H1, H2, and H3 - organize outputs into dedicated evaluation folders with JSON results and plots - add H1 population misalignment metrics and visualizations - add H2 latent-state tracking metrics, baseline comparisons, and plots - add H3 survival analysis, retention metrics, hazard/log-rank outputs, and portfolio comparison plots - extend the Streamlit app with a professional Result Analysis page
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Take values from latent state and use it for rebalancing.