tests and cleanup

2026-08-22 12:38:06 +00:00 · 2024-10-11 18:02:09 -07:00
parent 839313c9f2
commit cc45cebeb4
96 changed files with 3640 additions and 327 deletions
@@ -0,0 +1,214 @@
+using Xunit;
+using System.Security.Cryptography;
+
+namespace QuanTAlib.Tests;
+
+public class StatisticsUpdateTests
+{
+    private readonly RandomNumberGenerator rng = RandomNumberGenerator.Create();
+    private const int RandomUpdates = 100;
+    private const double ReferenceValue = 100.0;
+    private const int precision = 8;
+
+    private double GetRandomDouble()
+    {
+        byte[] bytes = new byte[8];
+        rng.GetBytes(bytes);
+        return (double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200 - 100; // Range: -100 to 100
+    }
+
+    [Fact]
+    public void Curvature_Update()
+    {
+        var indicator = new Curvature(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Entropy_Update()
+    {
+        var indicator = new Entropy(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Kurtosis_Update()
+    {
+        var indicator = new Kurtosis(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Max_Update()
+    {
+        var indicator = new Max(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Median_Update()
+    {
+        var indicator = new Median(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Min_Update()
+    {
+        var indicator = new Min(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Mode_Update()
+    {
+        var indicator = new Mode(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Percentile_Update()
+    {
+        var indicator = new Percentile(period: 14, percent: 50);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Skew_Update()
+    {
+        var indicator = new Skew(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Slope_Update()
+    {
+        var indicator = new Slope(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Stddev_Update()
+    {
+        var indicator = new Stddev(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Variance_Update()
+    {
+        var indicator = new Variance(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+
+    [Fact]
+    public void Zscore_Update()
+    {
+        var indicator = new Zscore(period: 14);
+        double initialValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: true));
+
+        for (int i = 0; i < RandomUpdates; i++)
+        {
+            indicator.Calc(new TValue(DateTime.Now, GetRandomDouble(), IsNew: false));
+        }
+        double finalValue = indicator.Calc(new TValue(DateTime.Now, ReferenceValue, IsNew: false));
+
+        Assert.Equal(initialValue, finalValue, precision);
+    }
+}