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v0.8.6: update indicator docs, ndepend tooling, ALMA refactor, gitignore cleanup

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Miha Kralj
2026-03-13 13:46:52 -07:00
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lib/reversals/fractals/Fractals.md
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- Williams Fractals detect local price extremes using a strict five-bar pattern: an Up Fractal marks a bar whose high exceeds the highs of the two ba...
- No configurable parameters; computation is stateless per bar.
- Output range: Varies (see docs).
- Requires 1 bar of warmup before first valid output (IsHot = true).
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
Williams Fractals detect local price extremes using a strict five-bar pattern: an Up Fractal marks a bar whose high exceeds the highs of the two bars before and after it; a Down Fractal marks a bar whose low undercuts the lows of the two bars before and after it. No parameters, no smoothing, no lag compensation. The pattern either exists or it does not. Developed by Bill Williams and published in *Trading Chaos* (1995).
@@ -171,4 +169,4 @@ Cross-validation with Skender.Stock.Indicators uses `GetFractal(windowSpan: 2)`.
- Williams, B. M. (2004). *Trading Chaos: Maximize Profits with Proven Technical Techniques* (2nd ed.). John Wiley and Sons.
- Mandelbrot, B. B. (1982). *The Fractal Geometry of Nature*. W. H. Freeman.
- TradingView PineScript Reference: [`ta.pivothigh()`](https://www.tradingview.com/pine-script-reference/v5/#fun_ta.pivothigh), [`ta.pivotlow()`](https://www.tradingview.com/pine-script-reference/v5/#fun_ta.pivotlow)
- Skender.Stock.Indicators: [`GetFractal()`](https://dotnet.stockindicators.dev/indicators/Fractal/)
- Skender.Stock.Indicators: [`GetFractal()`](https://dotnet.stockindicators.dev/indicators/Fractal/)