Add B9 Price Statistics deepening (5 indicators) (#197)
Deepens the **Price Statistics** family (B9) with five rolling-statistics indicators (447 -> 452): - **ShannonEntropy** — Shannon entropy of a binned rolling value distribution. - **SampleEntropy** — Richman-Moorman sample entropy (regularity/complexity of a window). - **KendallTau** — Kendall rank correlation (tau-b) over paired observations (pairwise; distinct from Pearson/Spearman). - **JarqueBera** — Jarque-Bera normality test statistic over a rolling window. - **RollingMinMaxScaler** — maps the latest value to 0..1 over a rolling window. All scalar f64 input except KendallTau (pairwise). Multi-arg scalars (Shannon/Sample entropy) use hand-written Python/Node bindings + the variadic wasm macro; KendallTau uses the pair macros. Verified locally: 3668 core lib + 410 doc tests, clippy clean, 527 node tests, 871 pytest, counter 452.
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@@ -8,7 +8,7 @@ That includes:
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[Python](https://docs.wickra.org/Quickstart-Python),
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[Node](https://docs.wickra.org/Quickstart-Node), and
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[WASM](https://docs.wickra.org/Quickstart-WASM).
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- A per-indicator deep dive for every one of the **447 indicators** across
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- A per-indicator deep dive for every one of the **452 indicators** across
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the sixteen families (Moving Averages, Momentum Oscillators, Trend &
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Directional, Price Oscillators, Volatility & Bands, Bands & Channels,
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Trailing Stops, Volume, Price Statistics, Ehlers / Cycle DSP, Pivots &
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