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Miha Kralj 060649192f docs: remove C# Implementation Considerations sections, clean up temp scripts, reorganize test files
- 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
2026-03-12 12:34:16 -07:00

155 lines
4.4 KiB
C#

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