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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<p align="center">
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<a href="https://wickra.org"><img src="https://raw.githubusercontent.com/wickra-lib/.github/main/profile/wickra-banner.webp?v=447" alt="Wickra — streaming-first technical indicators" width="100%"></a>
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<a href="https://wickra.org"><img src="https://raw.githubusercontent.com/wickra-lib/.github/main/profile/wickra-banner.webp?v=452" alt="Wickra — streaming-first technical indicators" width="100%"></a>
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</p>
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[](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
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@@ -48,7 +48,7 @@ Full documentation lives at **[docs.wickra.org](https://docs.wickra.org)**:
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[Node](https://docs.wickra.org/Quickstart-Node),
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[WASM](https://docs.wickra.org/Quickstart-WASM).
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- **Indicators** — a per-indicator deep dive (formula, parameters, warmup) for
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every one of the 447 indicators; start at the
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every one of the 452 indicators; start at the
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[indicators overview](https://docs.wickra.org/Indicators-Overview).
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- **Reference** — [warmup periods](https://docs.wickra.org/Warmup-Periods),
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[streaming vs batch](https://docs.wickra.org/Streaming-vs-Batch),
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@@ -79,7 +79,7 @@ Plenty of TA libraries are fast. Each one forces a trade-off Wickra does not:
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| finta | clean | no | Python | ~80 | stale |
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| talipp | clean | yes | Python | ~40 | yes |
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Wickra's edge is **breadth with reach**: 447 indicators that all update in O(1)
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Wickra's edge is **breadth with reach**: 452 indicators that all update in O(1)
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per tick and ship natively to Python, Node.js, WebAssembly and Rust from a
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single engine.
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@@ -188,7 +188,7 @@ python -m benchmarks.compare_libraries
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## Indicators
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447 streaming-first indicators across twenty-four families. Every one passes the
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452 streaming-first indicators across twenty-four families. Every one passes the
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`batch == streaming` equivalence test, reference-value tests, and reset
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semantics tests. Each has a per-indicator deep dive (formula, parameters,
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warmup) at [docs.wickra.org](https://docs.wickra.org/Indicators-Overview).
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@@ -203,7 +203,7 @@ warmup) at [docs.wickra.org](https://docs.wickra.org/Indicators-Overview).
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| Bands & Channels | MA Envelope, Acceleration Bands, STARC Bands, ATR Bands, Hurst Channel, LinReg Channel, Standard Error Bands, Double Bollinger Bands, TTM Squeeze, Fractal Chaos Bands, VWAP StdDev Bands, Quartile Bands, Bomar Bands, Median Channel, Projection Bands, Projection Oscillator |
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| Trailing Stops | Parabolic SAR, Parabolic SAR Extended (SAREXT), SuperTrend, Chandelier Exit, Chande Kroll Stop, ATR Trailing Stop, HiLo Activator, Volty Stop, Yo-Yo Exit, Donchian Channel Stop, Percentage Trailing Stop, Step Trailing Stop, Renko Trailing Stop, Kase DevStop, Elder SafeZone, ATR Ratchet, NRTR, Time-Based Stop, Modified MA Stop |
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| Volume | OBV, VWAP (cumulative + rolling), ADL, Volume-Price Trend, Chaikin Money Flow, Chaikin Oscillator, Force Index, Ease of Movement, Klinger Volume Oscillator, Volume Oscillator, NVI, PVI, Williams A/D, Anchored VWAP, Demand Index, TSV, VZO, Market Facilitation Index, Volume RSI, Williams Accumulation/Distribution, Twiggs Money Flow, Trade Volume Index, Intraday Intensity Index, Better Volume, Volume-Weighted MACD |
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| Price Statistics | Typical Price, Median Price, Weighted Close, Linear Regression, Linear Regression Slope, Z-Score, Linear Regression Angle, Variance, Coefficient of Variation, Skewness, Kurtosis, Standard Error, Detrended StdDev, R², Median Absolute Deviation, Autocorrelation, Hurst Exponent, Pearson Correlation, Beta, Pairwise Beta, Pair Spread Z-Score, Lead-Lag Cross-Correlation, Cointegration, Relative Strength A-vs-B, Spearman Correlation, Mid Price, Mid Point, Average Price, Linear Regression Intercept, Time Series Forecast, Rolling Correlation, Rolling Covariance, OU Half-Life, Spread Hurst, Distance SSD, Beta-Neutral Spread, Variance Ratio, Granger Causality, Kalman Hedge Ratio, Spread Bollinger Bands, Spread AR(1) Coefficient |
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| Price Statistics | Typical Price, Median Price, Weighted Close, Linear Regression, Linear Regression Slope, Z-Score, Linear Regression Angle, Variance, Coefficient of Variation, Skewness, Kurtosis, Standard Error, Detrended StdDev, R², Median Absolute Deviation, Autocorrelation, Hurst Exponent, Pearson Correlation, Beta, Pairwise Beta, Pair Spread Z-Score, Lead-Lag Cross-Correlation, Cointegration, Relative Strength A-vs-B, Spearman Correlation, Mid Price, Mid Point, Average Price, Linear Regression Intercept, Time Series Forecast, Rolling Correlation, Rolling Covariance, OU Half-Life, Spread Hurst, Distance SSD, Beta-Neutral Spread, Variance Ratio, Granger Causality, Kalman Hedge Ratio, Spread Bollinger Bands, Spread AR(1) Coefficient, Jarque-Bera, Rolling Min-Max Scaler, Shannon Entropy, Sample Entropy, Kendall Tau |
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| Ehlers / Cycle (DSP) | MAMA, FAMA, Fisher Transform, Inverse Fisher Transform, SuperSmoother, Hilbert Dominant Cycle, Hilbert Phasor, Hilbert DC Phase, Hilbert Trend Mode, Sine Wave, Decycler, Decycler Oscillator, Roofing Filter, Center of Gravity, Cybernetic Cycle, Adaptive Cycle, Empirical Mode Decomposition, Ehlers Stochastic, Instantaneous Trendline |
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| Pivots & S/R | Classic Pivots, Fibonacci Pivots, Camarilla, Woodie Pivots, DeMark Pivots, Williams Fractals, ZigZag |
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| DeMark | TD Setup, TD Sequential, TD DeMarker, TD REI, TD Pressure, TD Combo, TD Countdown, TD Lines, TD Range Projection, TD Differential, TD Open, TD Risk Level |
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@@ -297,7 +297,7 @@ A Python live-trading example using the public `websockets` package lives at
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```
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wickra/
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├── crates/
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│ ├── wickra-core/ core engine + all 447 indicators
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│ ├── wickra-core/ core engine + all 452 indicators
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│ ├── wickra/ top-level facade crate (publishes on crates.io) + benches/
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│ ├── wickra-data/ CSV reader, tick aggregator, live exchange feeds
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│ └── wickra-bench/ internal cross-library benchmark harness (not published)
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