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feat: add ADF (Augmented Dickey-Fuller) indicator
- Core implementation with Cholesky OLS, MacKinnon p-value, AIC lag selection - Three regression models: NoConstant, Constant, ConstantAndTrend - NormCdf via Abramowitz & Stegun 7.1.26 erf approximation - Quantower adapter, Python bridge (NativeAOT export + ctypes + wrapper) - 69 tests (41 unit + 12 validation + 14 Quantower + 2 consistency) - Documentation with Schwert table, MacKinnon coefficients, PineScript ref - All 19,095 tests pass, zero warnings
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@@ -377,6 +377,7 @@ Mathematical and statistical computations on price series.
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| Indicator | Full Name | Notes |
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| :-------- | :-------- | :---- |
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| [**ACF**](../lib/statistics/acf/Acf.md) | Autocorrelation Function | Lagged self-correlation |
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| [**ADF**](../lib/statistics/adf/Adf.md) | Augmented Dickey-Fuller Test | Unit root stationarity test; MacKinnon p-value [0,1] |
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| [**BETA**](../lib/statistics/beta/Beta.md) | Beta Coefficient | Systematic risk measure |
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| [**CMA**](../lib/statistics/cma/Cma.md) | Cumulative Moving Average | Expanding window average |
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| [**COINTEGRATION**](../lib/statistics/cointegration/Cointegration.md) | Cointegration | Engle-Granger two-step with ADF test |
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