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https://github.com/mihakralj/QuanTAlib.git
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- Implement tests for HMA (Hull Moving Average) indicator to verify default settings, history depth calculations, and value computations during updates. - Create tests for KAMA (Kaufman Adaptive Moving Average) indicator, ensuring correct defaults, history depth, and value calculations. - Add tests for SMA (Simple Moving Average) indicator, checking default values, history depth, and value computations. - Develop tests for T3 (Tillson T3 Moving Average) indicator, validating defaults, history depth, and value calculations. - Implement tests for TEMA (Triple Exponential Moving Average) indicator, ensuring correct defaults and value computations. - Create tests for TRIMA (Triangular Moving Average) indicator, verifying defaults, history depth, and value calculations. - Add tests for WMA (Weighted Moving Average) indicator, checking default values, history depth, and value computations.
156 lines
4.5 KiB
C#
156 lines
4.5 KiB
C#
namespace QuanTAlib.Tests;
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public class HmaTests
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{
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[Fact]
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public void Hma_Constructor_ValidatesInput()
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{
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Assert.Throws<ArgumentException>(() => new Hma(0));
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Assert.Throws<ArgumentException>(() => new Hma(1)); // HMA requires period > 1 for sqrt(period) >= 1
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var hma = new Hma(10);
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Assert.NotNull(hma);
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}
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[Fact]
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public void Hma_Calc_ReturnsValue()
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{
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var hma = new Hma(10);
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TValue result = hma.Update(new TValue(DateTime.UtcNow, 100));
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Assert.True(result.Value > 0);
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}
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[Fact]
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public void Hma_IsHot_BecomesTrue()
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{
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var hma = new Hma(9); // sqrt(9) = 3
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// Full WMA needs 9
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// Half WMA needs 4
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// Sqrt WMA needs 3
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// Pipeline:
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// 1. Full/Half produce valid values immediately (but with warmup ramp)
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// 2. Sqrt consumes them.
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// IsHot is defined as Full.IsHot && Sqrt.IsHot.
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// Full becomes hot after 9 updates.
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// Sqrt becomes hot after 3 updates.
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// So HMA should be hot after 9 + 3 - 1 = 11 updates.
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for (int i = 0; i < 10; i++)
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{
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hma.Update(new TValue(DateTime.UtcNow, 100));
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Assert.False(hma.IsHot);
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}
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hma.Update(new TValue(DateTime.UtcNow, 100));
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Assert.True(hma.IsHot);
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}
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[Fact]
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public void Hma_StreamingMatchesBatch()
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{
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var hmaStreaming = new Hma(14);
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var hmaBatch = new Hma(14);
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var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42);
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var series = new TSeries();
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for (int i = 0; i < 100; i++)
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{
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var bar = gbm.Next(isNew: true);
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series.Add(bar.Time, bar.Close);
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}
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Assert.Equal(100, series.Count);
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// Streaming
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var streamingResults = new TSeries();
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foreach (var item in series)
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{
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streamingResults.Add(hmaStreaming.Update(item));
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}
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// Batch
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var batchResults = hmaBatch.Update(series);
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Assert.Equal(streamingResults.Count, batchResults.Count);
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for (int i = 0; i < streamingResults.Count; i++)
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{
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Assert.Equal(streamingResults[i].Value, batchResults[i].Value, 1e-9);
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}
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}
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[Fact]
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public void Hma_StaticCalculate_MatchesInstance()
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{
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var series = new TSeries();
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var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42);
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for (int i = 0; i < 100; i++)
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{
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var bar = gbm.Next(isNew: true);
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series.Add(bar.Time, bar.Close);
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}
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var instanceResults = new Hma(14).Update(series);
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var staticResults = Hma.Calculate(series, 14);
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for (int i = 0; i < instanceResults.Count; i++)
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{
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Assert.Equal(instanceResults[i].Value, staticResults[i].Value, 1e-9);
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}
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}
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[Fact]
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public void Hma_SpanCalculate_MatchesSeries()
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{
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var series = new TSeries();
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var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42);
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for (int i = 0; i < 100; i++)
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{
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var bar = gbm.Next(isNew: true);
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series.Add(bar.Time, bar.Close);
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}
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var seriesResults = Hma.Calculate(series, 14);
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double[] input = series.Values.ToArray();
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double[] output = new double[input.Length];
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Hma.Calculate(input.AsSpan(), output.AsSpan(), 14);
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for (int i = 0; i < input.Length; i++)
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{
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Assert.Equal(seriesResults[i].Value, output[i], 1e-9);
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}
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}
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[Fact]
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public void Hma_Update_IsNewFalse_CorrectsValue()
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{
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var hma = new Hma(10);
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var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42);
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// Feed initial data
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for (int i = 0; i < 20; i++)
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{
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var bar = gbm.Next(isNew: true);
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hma.Update(new TValue(bar.Time, bar.Close), isNew: true);
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}
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// Update with isNew=false (correction)
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var newBar = gbm.Next(isNew: true); // Generate a new value
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hma.Update(new TValue(newBar.Time, newBar.Close), isNew: true); // Commit it
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double valueAfterCommit = hma.Last.Value;
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// Now update the SAME bar with a different value
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hma.Update(new TValue(newBar.Time, newBar.Close + 10.0), isNew: false);
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double valueAfterCorrection = hma.Last.Value;
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Assert.NotEqual(valueAfterCommit, valueAfterCorrection);
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// Now restore original value
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hma.Update(new TValue(newBar.Time, newBar.Close), isNew: false);
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Assert.Equal(valueAfterCommit, hma.Last.Value, 1e-9);
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}
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}
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