mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-09 14:30:56 +00:00
ac8b2dbb3f
feat(trends): implement IDisposable in Bessel and Conv classes to manage event subscriptions fix(trends): add validation for period and parameters in Kama and MGDI calculations fix(trends): clamp logarithmic calculations in JMA to avoid -Infinity
216 lines
6.7 KiB
C#
216 lines
6.7 KiB
C#
using System;
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using Xunit;
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namespace QuanTAlib;
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public class DwmaTests
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{
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[Fact]
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public void Constructor_InvalidPeriod_ThrowsArgumentException()
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{
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Assert.Throws<ArgumentException>(() => new Dwma(0));
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Assert.Throws<ArgumentException>(() => new Dwma(-1));
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}
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[Fact]
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public void Update_ValidInput_CalculatesCorrectly()
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{
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// DWMA(3) of [1, 2, 3, 4, 5]
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// WMA(3) of [1, 2, 3, 4, 5]
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// 1: 1
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// 2: (1*1 + 2*2) / 3 = 5/3 = 1.666...
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// 3: (1*1 + 2*2 + 3*3) / 6 = 14/6 = 2.333...
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// 4: (1*2 + 2*3 + 3*4) / 6 = 20/6 = 3.333...
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// 5: (1*3 + 2*4 + 3*5) / 6 = 26/6 = 4.333...
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// WMA(3) results: [1, 1.666, 2.333, 3.333, 4.333]
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// DWMA(3) = WMA(3) of [1, 1.666, 2.333, 3.333, 4.333]
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// 1: 1
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// 2: (1*1 + 2*1.666) / 3 = 4.333/3 = 1.444...
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// 3: (1*1 + 2*1.666 + 3*2.333) / 6 = (1 + 3.333 + 7) / 6 = 11.333/6 = 1.888...
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var dwma = new Dwma(3);
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var v1 = dwma.Update(new TValue(DateTime.UtcNow, 1)).Value;
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var v2 = dwma.Update(new TValue(DateTime.UtcNow, 2)).Value;
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var v3 = dwma.Update(new TValue(DateTime.UtcNow, 3)).Value;
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Assert.Equal(1.0, v1, 6);
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Assert.Equal(1.444444, v2, 5);
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Assert.Equal(1.888888, v3, 5);
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}
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[Fact]
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public void Update_IsNewFalse_CorrectsValue()
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{
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var dwma = new Dwma(3);
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dwma.Update(new TValue(DateTime.UtcNow, 1));
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dwma.Update(new TValue(DateTime.UtcNow, 2));
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// Update with 3, then correct to 4
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var v3 = dwma.Update(new TValue(DateTime.UtcNow, 3), isNew: true).Value;
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var v3_corrected = dwma.Update(new TValue(DateTime.UtcNow, 4), isNew: false).Value;
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// Manual calc for sequence [1, 2, 4]
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// WMA(3):
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// 1: 1
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// 2: 1.666
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// 4: (1*1 + 2*2 + 3*4) / 6 = 17/6 = 2.8333
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// DWMA(3) of [1, 1.666, 2.8333]
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// 3: (1*1 + 2*1.666 + 3*2.8333) / 6 = (1 + 3.333 + 8.5) / 6 = 12.833/6 = 2.1388
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Assert.Equal(1.888888, v3, 5); // From previous test
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Assert.Equal(2.138888, v3_corrected, 5);
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}
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[Fact]
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public void Reset_ClearsState()
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{
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var dwma = new Dwma(3);
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dwma.Update(new TValue(DateTime.UtcNow, 1));
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dwma.Update(new TValue(DateTime.UtcNow, 2));
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dwma.Reset();
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Assert.False(dwma.IsHot);
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var v1 = dwma.Update(new TValue(DateTime.UtcNow, 1)).Value;
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Assert.Equal(1.0, v1);
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}
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[Fact]
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public void StaticCalculate_MatchesInstance()
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{
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int period = 10;
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int count = 100;
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var source = new TSeries();
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var dwma = new Dwma(period);
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for (int i = 0; i < count; i++)
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{
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source.Add(new TValue(DateTime.UtcNow.AddMinutes(i), i));
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dwma.Update(source.Last);
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}
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var staticResult = Dwma.Batch(source, period);
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Assert.Equal(source.Count, staticResult.Count);
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Assert.Equal(dwma.Last.Value, staticResult.Last.Value, 8);
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}
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[Fact]
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public void IterativeCorrections_RestoreToOriginalState()
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{
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var dwma = new Dwma(10);
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var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.1);
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// Feed 10 new values
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TValue tenthInput = default;
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for (int i = 0; i < 10; i++)
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{
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var bar = gbm.Next(isNew: true);
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tenthInput = new TValue(bar.Time, bar.Close);
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dwma.Update(tenthInput, isNew: true);
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}
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// Remember state after 10 values
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double valueAfterTen = dwma.Last.Value;
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// Generate 9 corrections with isNew=false (different values)
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for (int i = 0; i < 9; i++)
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{
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var bar = gbm.Next(isNew: false);
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dwma.Update(new TValue(bar.Time, bar.Close), isNew: false);
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}
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// Feed the remembered 10th input again with isNew=false
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TValue finalValue = dwma.Update(tenthInput, isNew: false);
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// Should match the original state after 10 values
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Assert.Equal(valueAfterTen, finalValue.Value, 1e-9);
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}
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[Fact]
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public void NaN_Input_UsesLastValidValue()
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{
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var dwma = new Dwma(5);
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dwma.Update(new TValue(DateTime.UtcNow, 100));
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dwma.Update(new TValue(DateTime.UtcNow, 110));
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var resultAfterNaN = dwma.Update(new TValue(DateTime.UtcNow, double.NaN));
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Assert.True(double.IsFinite(resultAfterNaN.Value));
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Assert.NotEqual(0, resultAfterNaN.Value);
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}
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[Fact]
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public void SpanCalc_ValidatesInput()
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{
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double[] source = [1, 2, 3, 4, 5];
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double[] output = new double[5];
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double[] wrongSizeOutput = new double[3];
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Assert.Throws<ArgumentOutOfRangeException>(() => Dwma.Calculate(source.AsSpan(), output.AsSpan(), 0));
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Assert.Throws<ArgumentException>(() => Dwma.Calculate(source.AsSpan(), wrongSizeOutput.AsSpan(), 3));
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}
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[Fact]
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public void SpanCalc_HandlesNaN()
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{
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double[] source = [100, 110, double.NaN, 120, 130];
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double[] output = new double[5];
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Dwma.Calculate(source.AsSpan(), output.AsSpan(), 3);
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foreach (var val in output)
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{
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Assert.True(double.IsFinite(val));
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}
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}
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[Fact]
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public void AllModes_ProduceSameResult()
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{
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// Arrange
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int period = 10;
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var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 123);
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var bars = gbm.Fetch(1000, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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var series = bars.Close;
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// 1. Batch Mode
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var batchSeries = Dwma.Batch(series, period);
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double expected = batchSeries.Last.Value;
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// 2. Span Mode
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var tValues = series.Values.ToArray();
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var spanInput = new ReadOnlySpan<double>(tValues);
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var spanOutput = new double[tValues.Length];
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Dwma.Calculate(spanInput, spanOutput, period);
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double spanResult = spanOutput[^1];
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// 3. Streaming Mode
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var streamingInd = new Dwma(period);
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for (int i = 0; i < series.Count; i++)
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{
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streamingInd.Update(series[i]);
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}
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double streamingResult = streamingInd.Last.Value;
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// 4. Eventing Mode
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var pubSource = new TSeries();
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var eventingInd = new Dwma(pubSource, period);
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for (int i = 0; i < series.Count; i++)
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{
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pubSource.Add(series[i]);
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}
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double eventingResult = eventingInd.Last.Value;
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// Assert
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Assert.Equal(expected, spanResult, precision: 9);
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Assert.Equal(expected, streamingResult, precision: 9);
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Assert.Equal(expected, eventingResult, precision: 9);
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}
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}
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