mirror of
https://github.com/mihakralj/QuanTAlib.git
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060649192f
- Remove 'C# Implementation Considerations' sections from 34 indicator .md files - Delete 29 temp PowerShell scripts (_fix_mojibake.ps1, _hex_scan.ps1, etc.) - Move test files into tests/ subdirectories for consistent project structure - Add trader-focused bullet points to indicator documentation
323 lines
11 KiB
C#
323 lines
11 KiB
C#
using System;
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using QuanTAlib;
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using Xunit;
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namespace QuanTAlib.Tests;
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public class FcbTests
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{
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[Fact]
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public void Fcb_Constructor_ValidatesInput()
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{
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Assert.Throws<ArgumentOutOfRangeException>(() => new Fcb(0));
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Assert.Throws<ArgumentOutOfRangeException>(() => new Fcb(-5));
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var f = new Fcb(10);
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Assert.Equal(12, f.WarmupPeriod); // period + 2 for fractal detection
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Assert.Contains("Fcb", f.Name, StringComparison.OrdinalIgnoreCase);
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}
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[Fact]
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public void Fcb_InitialState_Defaults()
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{
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var f = new Fcb(5);
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Assert.Equal(0, f.Last.Value);
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Assert.Equal(0, f.Upper.Value);
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Assert.Equal(0, f.Lower.Value);
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Assert.False(f.IsHot);
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}
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[Fact]
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public void Fcb_DetectsFractalHigh()
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{
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// Fractal high: high[1] > high[2] AND high[1] > high[0]
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// Create pattern: 100, 120, 110 (index 1 is fractal high = 120)
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var f = new Fcb(5);
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f.Update(new TBar(DateTime.UtcNow, 95, 100, 90, 95, 1000)); // High = 100
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f.Update(new TBar(DateTime.UtcNow, 115, 120, 110, 115, 1000)); // High = 120 (will be fractal)
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f.Update(new TBar(DateTime.UtcNow, 105, 110, 100, 105, 1000)); // High = 110 < 120
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// After 3 bars, fractal high at index 1 detected when we get index 2
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// Upper should track the highest fractal high = 120
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Assert.Equal(120.0, f.Upper.Value, 1e-10);
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}
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[Fact]
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public void Fcb_DetectsFractalLow()
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{
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// Fractal low: low[1] < low[2] AND low[1] < low[0]
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// Create pattern: 100, 80, 90 (index 1 is fractal low = 80)
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var f = new Fcb(5);
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f.Update(new TBar(DateTime.UtcNow, 105, 110, 100, 105, 1000)); // Low = 100
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f.Update(new TBar(DateTime.UtcNow, 85, 90, 80, 85, 1000)); // Low = 80 (will be fractal)
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f.Update(new TBar(DateTime.UtcNow, 95, 100, 90, 95, 1000)); // Low = 90 > 80
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// After 3 bars, fractal low at index 1 detected when we get index 2
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// Lower should track the lowest fractal low = 80
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Assert.Equal(80.0, f.Lower.Value, 1e-10);
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}
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[Fact]
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public void Fcb_NoFractalUsesPreviousValue()
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{
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// If no fractal is detected, bands should use previous fractal values
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var f = new Fcb(5);
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// Create fractal high then no new fractals
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f.Update(new TBar(DateTime.UtcNow, 100, 105, 95, 100, 1000));
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f.Update(new TBar(DateTime.UtcNow, 110, 115, 105, 110, 1000)); // Will be fractal high
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f.Update(new TBar(DateTime.UtcNow, 105, 110, 100, 105, 1000)); // Confirms fractal at 115
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_ = f.Upper.Value; // Store for comparison
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// Add more bars that don't create new fractals (monotonic up)
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f.Update(new TBar(DateTime.UtcNow, 112, 117, 107, 112, 1000));
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f.Update(new TBar(DateTime.UtcNow, 120, 125, 115, 120, 1000));
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// Upper should still be finite as previous fractal value is tracked via deque
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Assert.True(double.IsFinite(f.Upper.Value));
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}
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[Fact]
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public void Fcb_SlidingWindow_Updates()
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{
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var f = new Fcb(3);
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// Create initial fractals
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f.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000));
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f.Update(new TBar(DateTime.UtcNow, 110, 120, 100, 110, 1000)); // Fractal high at 120
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f.Update(new TBar(DateTime.UtcNow, 105, 115, 95, 105, 1000));
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// Add more bars - window should slide
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for (int i = 0; i < 5; i++)
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{
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f.Update(new TBar(DateTime.UtcNow, 90 - i, 95 - i, 85 - i, 90 - i, 1000));
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}
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// Upper may have changed as old fractals slide out
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Assert.NotEqual(0, f.Upper.Value);
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Assert.NotEqual(0, f.Lower.Value);
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}
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[Fact]
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public void Fcb_IsHot_TurnsTrueAfterWarmup()
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{
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var f = new Fcb(4);
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// WarmupPeriod = 4 + 2 = 6
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for (int i = 0; i < 5; i++)
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{
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f.Update(new TBar(DateTime.UtcNow, 100 + i, 101 + i, 99 + i, 100 + i, 1000));
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Assert.False(f.IsHot);
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}
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f.Update(new TBar(DateTime.UtcNow, 200, 201, 199, 200, 1000));
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Assert.True(f.IsHot);
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}
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[Fact]
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public void Fcb_IsNewFalse_RebuildsState()
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{
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var f = new Fcb(3);
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var gbm = new GBM(startPrice: 100, mu: 0.01, sigma: 0.1, seed: 7);
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TBar remembered = default;
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for (int i = 0; i < 10; i++)
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{
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remembered = gbm.Next(isNew: true);
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f.Update(remembered, isNew: true);
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}
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double mid = f.Last.Value;
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double up = f.Upper.Value;
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double lo = f.Lower.Value;
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// Apply corrections
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for (int i = 0; i < 3; i++)
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{
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var corrected = gbm.Next(isNew: false);
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f.Update(corrected, isNew: false);
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}
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// Restore with remembered bar
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f.Update(remembered, isNew: false);
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Assert.Equal(mid, f.Last.Value, 1e-10);
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Assert.Equal(up, f.Upper.Value, 1e-10);
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Assert.Equal(lo, f.Lower.Value, 1e-10);
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}
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[Fact]
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public void Fcb_NaN_UsesLastValid()
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{
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var f = new Fcb(3);
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f.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 105, 1000));
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f.Update(new TBar(DateTime.UtcNow, 101, 111, 91, 106, 1000));
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var result = f.Update(new TBar(DateTime.UtcNow, 102, double.NaN, 92, 107, 1000));
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Assert.True(double.IsFinite(result.Value));
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Assert.True(double.IsFinite(f.Upper.Value));
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Assert.True(double.IsFinite(f.Lower.Value));
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var result2 = f.Update(new TBar(DateTime.UtcNow, 103, 113, double.PositiveInfinity, 108, 1000));
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Assert.True(double.IsFinite(result2.Value));
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}
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[Fact]
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public void Fcb_Reset_Clears()
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{
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var f = new Fcb(3);
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f.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000));
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f.Update(new TBar(DateTime.UtcNow, 101, 111, 91, 101, 1000));
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f.Update(new TBar(DateTime.UtcNow, 102, 112, 92, 102, 1000));
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f.Reset();
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Assert.Equal(0, f.Last.Value);
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Assert.Equal(0, f.Upper.Value);
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Assert.Equal(0, f.Lower.Value);
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Assert.False(f.IsHot);
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f.Update(new TBar(DateTime.UtcNow, 50, 60, 40, 55, 1000));
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Assert.NotEqual(0, f.Last.Value);
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}
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[Fact]
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public void Fcb_BatchVsStreaming_Match()
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{
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var fStream = new Fcb(10);
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var gbm = new GBM(startPrice: 100, mu: 0.02, sigma: 0.15, seed: 42);
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var series = new TBarSeries();
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for (int i = 0; i < 200; i++)
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{
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var bar = gbm.Next(isNew: true);
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series.Add(bar);
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fStream.Update(bar, isNew: true);
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}
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double expectedMid = fStream.Last.Value;
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double expectedUp = fStream.Upper.Value;
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double expectedLo = fStream.Lower.Value;
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var (midBatch, upBatch, loBatch) = Fcb.Batch(series, 10);
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Assert.Equal(expectedMid, midBatch.Last.Value, 1e-10);
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Assert.Equal(expectedUp, upBatch.Last.Value, 1e-10);
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Assert.Equal(expectedLo, loBatch.Last.Value, 1e-10);
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}
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[Fact]
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public void Fcb_SpanBatch_Validates()
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{
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double[] high = [110, 115, 120];
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double[] low = [90, 95, 100];
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double[] middle = new double[3];
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double[] upper = new double[3];
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double[] lower = new double[3];
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double[] highShort = [110, 115];
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double[] smallOut = new double[1];
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Assert.Throws<ArgumentOutOfRangeException>(() => Fcb.Batch(high.AsSpan(), low.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 0));
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Assert.Throws<ArgumentOutOfRangeException>(() => Fcb.Batch(high.AsSpan(), low.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), -1));
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Assert.Throws<ArgumentException>(() => Fcb.Batch(highShort.AsSpan(), low.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 2));
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Assert.Throws<ArgumentException>(() => Fcb.Batch(high.AsSpan(), low.AsSpan(), smallOut.AsSpan(), upper.AsSpan(), lower.AsSpan(), 2));
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}
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[Fact]
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public void Fcb_SpanBatch_ComputesCorrectly()
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{
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// Create data with clear fractal patterns
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// Fractal high at index 1: 100, 120, 110
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// Fractal low at index 1: 90, 70, 80
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double[] high = [100, 120, 110, 115, 105];
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double[] low = [90, 70, 80, 75, 85];
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double[] middle = new double[5];
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double[] upper = new double[5];
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double[] lower = new double[5];
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Fcb.Batch(high.AsSpan(), low.AsSpan(), middle.AsSpan(), upper.AsSpan(), lower.AsSpan(), 3);
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// At index 2, we detect fractal high=120, fractal low=70
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// Upper=120, Lower=70, Middle=95
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Assert.Equal(120.0, upper[2], 1e-10);
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Assert.Equal(70.0, lower[2], 1e-10);
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Assert.Equal(95.0, middle[2], 1e-10);
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}
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[Fact]
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public void Fcb_Calculate_ReturnsIndicatorAndResults()
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{
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var series = new TBarSeries();
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series.Add(DateTime.UtcNow, 100, 110, 90, 100, 1000);
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series.Add(DateTime.UtcNow, 105, 120, 80, 105, 1000); // Potential fractal high at 120, low at 80
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series.Add(DateTime.UtcNow, 102, 115, 85, 102, 1000); // Confirms fractals
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var ((mid, up, lo), ind) = Fcb.Calculate(series, 2);
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// After 3 bars: fractal high = 120, fractal low = 80
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Assert.Equal(120.0, up.Last.Value, 1e-10);
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Assert.Equal(80.0, lo.Last.Value, 1e-10);
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Assert.Equal(100.0, mid.Last.Value, 1e-10);
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// Continue streaming
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ind.Update(new TBar(DateTime.UtcNow, 108, 130, 75, 108, 1000)); // Potential new fractals
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ind.Update(new TBar(DateTime.UtcNow, 106, 125, 78, 106, 1000)); // Confirms fractal high=130, low=75
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Assert.Equal(130.0, ind.Upper.Value, 1e-10);
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Assert.Equal(75.0, ind.Lower.Value, 1e-10);
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}
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[Fact]
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public void Fcb_Event_Publishes()
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{
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var src = new TBarSeries();
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var f = new Fcb(src, 2);
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bool fired = false;
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f.Pub += (object? sender, in TValueEventArgs args) => fired = true;
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src.Add(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000));
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Assert.True(fired);
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}
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[Fact]
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public void Fcb_MiddleValue_IsAverage()
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{
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var f = new Fcb(3);
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// Create clear fractals
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f.Update(new TBar(DateTime.UtcNow, 100, 110, 90, 100, 1000));
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f.Update(new TBar(DateTime.UtcNow, 110, 130, 70, 110, 1000)); // Fractal high=130, low=70
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f.Update(new TBar(DateTime.UtcNow, 105, 120, 80, 105, 1000)); // Confirms fractals
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double expectedMiddle = (f.Upper.Value + f.Lower.Value) * 0.5;
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Assert.Equal(expectedMiddle, f.Last.Value, 1e-10);
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}
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[Fact]
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public void Fcb_MultipleFractals_TracksHighestLowest()
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{
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var f = new Fcb(10);
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// Create multiple fractals over time
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double[] highs = [100, 120, 110, 115, 140, 130, 125, 150, 145, 142, 148, 155, 150];
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double[] lows = [90, 70, 80, 75, 60, 65, 68, 50, 55, 58, 52, 45, 48];
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for (int i = 0; i < highs.Length; i++)
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{
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f.Update(new TBar(DateTime.UtcNow, (highs[i] + lows[i]) / 2, highs[i], lows[i], (highs[i] + lows[i]) / 2, 1000));
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}
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// Upper should be highest fractal high in window
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// Lower should be lowest fractal low in window
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Assert.True(f.Upper.Value > 0);
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Assert.True(f.Lower.Value > 0);
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Assert.True(f.Upper.Value > f.Lower.Value);
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}
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}
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