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060649192f
- Remove 'C# Implementation Considerations' sections from 34 indicator .md files - Delete 29 temp PowerShell scripts (_fix_mojibake.ps1, _hex_scan.ps1, etc.) - Move test files into tests/ subdirectories for consistent project structure - Add trader-focused bullet points to indicator documentation
155 lines
4.4 KiB
C#
155 lines
4.4 KiB
C#
namespace QuanTAlib.Tests;
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/// <summary>
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/// Geomean Validation Tests - Self-consistency validation.
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/// No external TA library implements rolling geometric mean, so we validate
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/// against mathematical properties and internal consistency.
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/// </summary>
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public sealed class GeomeanValidationTests
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{
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private static TSeries CreateGbmSeries(int count = 500, int seed = 42)
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{
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var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: seed);
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var times = new List<long>(count);
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var values = new List<double>(count);
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for (int i = 0; i < count; i++)
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{
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var bar = gbm.Next(isNew: true);
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times.Add(bar.Time);
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values.Add(bar.Close);
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}
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return new TSeries(times, values);
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}
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[Fact]
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public void ConstantInput_ReturnsConstant()
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{
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// GM of identical values = that value
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var g = new Geomean(20);
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for (int i = 0; i < 50; i++)
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{
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g.Update(new TValue(DateTime.UtcNow, 42.0));
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}
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Assert.Equal(42.0, g.Last.Value, 10);
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}
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[Fact]
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public void GeomeanLeqArithmeticMean()
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{
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// AM-GM inequality: GM ≤ AM for all positive values
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var series = CreateGbmSeries();
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int period = 20;
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var g = new Geomean(period);
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var sma = new Sma(period);
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for (int i = 0; i < series.Count; i++)
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{
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g.Update(series[i]);
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sma.Update(series[i]);
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if (g.IsHot)
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{
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Assert.True(g.Last.Value <= sma.Last.Value + 1e-10,
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$"AM-GM violated at bar {i}: GM={g.Last.Value}, AM={sma.Last.Value}");
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}
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}
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}
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[Fact]
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public void BatchAndStreaming_Match()
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{
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var series = CreateGbmSeries();
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int period = 14;
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// Streaming
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var gStream = new Geomean(period);
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var streamResults = new double[series.Count];
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for (int i = 0; i < series.Count; i++)
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{
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gStream.Update(series[i]);
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streamResults[i] = gStream.Last.Value;
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}
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// Batch
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var batchResult = Geomean.Batch(series, period);
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for (int i = 0; i < series.Count; i++)
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{
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Assert.Equal(streamResults[i], batchResult[i].Value, 8);
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}
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}
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[Fact]
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public void OutputIsPositive()
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{
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var series = CreateGbmSeries();
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var g = new Geomean(14);
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for (int i = 0; i < series.Count; i++)
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{
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g.Update(series[i]);
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Assert.True(g.Last.Value > 0, $"Output not positive at bar {i}: {g.Last.Value}");
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}
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}
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[Fact]
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public void Calculate_ReturnsCorrectResults()
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{
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var series = CreateGbmSeries(100);
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var (results, indicator) = Geomean.Calculate(series, 14);
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Assert.True(indicator.IsHot);
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Assert.Equal(100, results.Count);
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Assert.True(double.IsFinite(results[^1].Value));
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}
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[Fact]
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public void NearConstant_NearConstant()
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{
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// Values very close together → GM ≈ AM ≈ the value
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var g = new Geomean(10);
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for (int i = 0; i < 20; i++)
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{
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g.Update(new TValue(DateTime.UtcNow, 100.0 + i * 0.001));
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}
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Assert.True(Math.Abs(g.Last.Value - 100.01) < 0.1,
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$"Expected near 100.01, got {g.Last.Value}");
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}
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[Fact]
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public void SpanBatch_MatchesTSeriesBatch()
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{
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var series = CreateGbmSeries(200);
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int period = 14;
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var batchResult = Geomean.Batch(series, period);
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var src = series.Values;
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Span<double> output = new double[series.Count];
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Geomean.Batch(src, output, period);
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for (int i = 0; i < series.Count; i++)
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{
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Assert.Equal(batchResult[i].Value, output[i], 8);
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}
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}
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[Fact]
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public void MultiplicativeProperty()
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{
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// If all values are scaled by c, GM scales by c
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// GM(c*x1, c*x2, ...) = c * GM(x1, x2, ...)
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double c = 3.0;
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int period = 10;
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var g1 = new Geomean(period);
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var g2 = new Geomean(period);
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var gbm = new GBM(startPrice: 100, mu: 0.05, sigma: 0.2, seed: 42);
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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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var tv = new TValue(bar.Time, bar.Close);
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g1.Update(tv);
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g2.Update(new TValue(bar.Time, bar.Close * c));
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}
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Assert.Equal(g1.Last.Value * c, g2.Last.Value, 8);
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}
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}
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