mirror of
https://github.com/mihakralj/QuanTAlib.git
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b5358091ae
feat: Implement ADL (Accumulation/Distribution Line) indicator
215 lines
6.2 KiB
C#
215 lines
6.2 KiB
C#
using Xunit;
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using QuanTAlib;
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namespace QuanTAlib.Tests;
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public class AdlTests
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{
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[Fact]
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public void Adl_BasicCalculation_ReturnsExpectedValues()
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{
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// Arrange
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var adl = new Adl();
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var time = DateTime.UtcNow;
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// Bar 1: Close=10, High=12, Low=8. Range=4.
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// MFM = ((10-8) - (12-10)) / 4 = (2 - 2) / 4 = 0.
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// Vol = 100. MFV = 0. ADL = 0.
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var bar1 = new TBar(time, 10, 12, 8, 10, 100);
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var val1 = adl.Update(bar1);
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Assert.Equal(0, val1.Value);
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// Bar 2: Close=12, High=12, Low=8. Range=4.
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// MFM = ((12-8) - (12-12)) / 4 = (4 - 0) / 4 = 1.
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// Vol = 200. MFV = 200. ADL = 0 + 200 = 200.
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var bar2 = new TBar(time.AddMinutes(1), 10, 12, 8, 12, 200);
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var val2 = adl.Update(bar2);
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Assert.Equal(200, val2.Value);
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// Bar 3: Close=8, High=12, Low=8. Range=4.
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// MFM = ((8-8) - (12-8)) / 4 = (0 - 4) / 4 = -1.
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// Vol = 100. MFV = -100. ADL = 200 - 100 = 100.
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var bar3 = new TBar(time.AddMinutes(2), 12, 12, 8, 8, 100);
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var val3 = adl.Update(bar3);
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Assert.Equal(100, val3.Value);
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}
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[Fact]
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public void Adl_IsNew_False_UpdatesSameBar()
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{
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var adl = new Adl();
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var time = DateTime.UtcNow;
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// Initial update
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// MFM = 1, Vol = 100 -> ADL = 100
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var bar1 = new TBar(time, 10, 12, 8, 12, 100);
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adl.Update(bar1, isNew: true);
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Assert.Equal(100, adl.Last.Value);
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// Update same bar with different volume
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// MFM = 1, Vol = 200 -> ADL = 200 (replaces previous 100)
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var bar1Update = new TBar(time, 10, 12, 8, 12, 200);
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adl.Update(bar1Update, isNew: false);
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Assert.Equal(200, adl.Last.Value);
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}
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[Fact]
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public void Adl_Reset_ClearsState()
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{
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var adl = new Adl();
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var bar = new TBar(DateTime.UtcNow, 10, 12, 8, 12, 100);
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adl.Update(bar);
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Assert.True(adl.IsHot);
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Assert.NotEqual(0, adl.Last.Value);
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adl.Reset();
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Assert.False(adl.IsHot);
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Assert.Equal(0, adl.Last.Value);
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}
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[Fact]
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public void Adl_HighEqualsLow_HandlesDivisionByZero()
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{
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var adl = new Adl();
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// High = Low = 10. Range = 0. MFM should be 0.
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var bar = new TBar(DateTime.UtcNow, 10, 10, 10, 10, 100);
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var val = adl.Update(bar);
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Assert.Equal(0, val.Value);
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}
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[Fact]
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public void Adl_TValueUpdate_DoesNotChangeValue()
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{
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var adl = new Adl();
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var bar = new TBar(DateTime.UtcNow, 10, 12, 8, 12, 100);
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adl.Update(bar); // ADL = 100
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// Update with TValue (no volume info)
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adl.Update(new TValue(DateTime.UtcNow, 15));
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// Should remain 100
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Assert.Equal(100, adl.Last.Value);
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}
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[Fact]
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public void Adl_Name_IsCorrect()
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{
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Assert.Equal("ADL", Adl.Name);
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}
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[Fact]
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public void Adl_PubEvent_FiresOnUpdate()
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{
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var adl = new Adl();
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bool eventFired = false;
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adl.Pub += (val) => eventFired = true;
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adl.Update(new TBar(DateTime.UtcNow, 10, 12, 8, 10, 100));
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Assert.True(eventFired);
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}
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[Fact]
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public void Adl_UpdateTBarSeries_ReturnsCorrectSeries()
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{
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var adl = new Adl();
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var bars = new TBarSeries();
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var time = DateTime.UtcNow;
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// Add same bars as in BasicCalculation
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bars.Add(new TBar(time, 10, 12, 8, 10, 100)); // ADL=0
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bars.Add(new TBar(time.AddMinutes(1), 10, 12, 8, 12, 200)); // ADL=200
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bars.Add(new TBar(time.AddMinutes(2), 12, 12, 8, 8, 100)); // ADL=100
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var result = adl.Update(bars);
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Assert.Equal(3, result.Count);
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Assert.Equal(0, result[0].Value);
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Assert.Equal(200, result[1].Value);
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Assert.Equal(100, result[2].Value);
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}
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[Fact]
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public void Adl_CalculateTBarSeries_ReturnsCorrectSeries()
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{
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var bars = new TBarSeries();
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var time = DateTime.UtcNow;
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bars.Add(new TBar(time, 10, 12, 8, 10, 100));
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bars.Add(new TBar(time.AddMinutes(1), 10, 12, 8, 12, 200));
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bars.Add(new TBar(time.AddMinutes(2), 12, 12, 8, 8, 100));
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var result = Adl.Calculate(bars);
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Assert.Equal(3, result.Count);
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Assert.Equal(0, result[0].Value);
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Assert.Equal(200, result[1].Value);
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Assert.Equal(100, result[2].Value);
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}
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[Fact]
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public void Adl_CalculateSpan_ReturnsCorrectValues()
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{
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double[] high = { 12, 12, 12 };
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double[] low = { 8, 8, 8 };
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double[] close = { 10, 12, 8 };
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double[] volume = { 100, 200, 100 };
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double[] output = new double[3];
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Adl.Calculate(high, low, close, volume, output);
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Assert.Equal(0, output[0]);
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Assert.Equal(200, output[1]);
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Assert.Equal(100, output[2]);
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}
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[Fact]
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public void Adl_CalculateSpan_ThrowsOnMismatchedLengths()
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{
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double[] high = { 10, 11 };
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double[] low = { 9, 10 };
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double[] close = { 9.5, 10.5 };
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double[] volume = { 100 }; // Short
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double[] output = new double[2];
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Assert.Throws<ArgumentException>(() =>
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Adl.Calculate(high, low, close, volume, output));
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}
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[Fact]
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public void Adl_Calculate_EmptySeries_ReturnsEmpty()
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{
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var bars = new TBarSeries();
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var result = Adl.Calculate(bars);
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Assert.Empty(result);
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}
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[Fact]
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public void Adl_CalculateSpan_SimdPath_ReturnsCorrectValues()
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{
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int count = 100; // Enough to trigger SIMD
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double[] high = new double[count];
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double[] low = new double[count];
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double[] close = new double[count];
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double[] volume = new double[count];
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double[] output = new double[count];
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// Setup: High=12, Low=8, Close=12 (MFM=1), Vol=10
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// Expected ADL increments by 10 each step.
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for (int i = 0; i < count; i++)
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{
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high[i] = 12;
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low[i] = 8;
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close[i] = 12;
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volume[i] = 10;
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}
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Adl.Calculate(high, low, close, volume, output);
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for (int i = 0; i < count; i++)
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{
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Assert.Equal((i + 1) * 10, output[i]);
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}
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}
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}
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