Files
QuanTAlib/lib/volume/adl/Adl.Tests.cs
T
Miha Kralj b5358091ae feat: Add Absolute Price Oscillator (APO) implementation and documentation
feat: Implement ADL (Accumulation/Distribution Line) indicator
2025-12-18 21:32:01 -08:00

215 lines
6.2 KiB
C#

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