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A reproducible numpy/scipy reference implementation of the RRG rotation model that powers the engine. Loads a 6-month daily snapshot of the 32-symbol universe (research/data), formalises RS-Ratio / RS-Momentum and the quadrant classification, reproduces the current read and the Lux Book top-10 allocation, and backtests the rotate-out-of-Weakening / into-Improving thesis. The numpy read cross-validates the Go engine exactly (Uranium 97.4/103.1, Hyperscalers weakening 101.4/95.9, Great Rotation 0.55 WATCH). The backtest is reported as indicative on a single window, not an alpha claim. Executed notebook (rotation_model.ipynb) + percent-format source + the data snapshot + the RRG plot.