Files
QuanTAlib/lib/trends/alma/Alma.Tests.cs
T
Miha Kralj ed5e5c8209 Add unit tests for various moving average indicators
- 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.
2025-12-08 11:00:58 -08:00

180 lines
4.9 KiB
C#

using System;
using System.Linq;
using Xunit;
namespace QuanTAlib.Tests;
public class AlmaTests
{
[Fact]
public void Alma_Constructor_ValidatesInput()
{
Assert.Throws<ArgumentException>(() => new Alma(0));
Assert.Throws<ArgumentException>(() => new Alma(10, sigma: 0));
var alma = new Alma(10);
Assert.NotNull(alma);
}
[Fact]
public void Alma_Calc_ReturnsValue()
{
var alma = new Alma(10);
TValue result = alma.Update(new TValue(DateTime.UtcNow, 100));
Assert.True(result.Value > 0);
}
[Fact]
public void Alma_IsHot_BecomesTrueWhenBufferFull()
{
var alma = new Alma(5);
Assert.False(alma.IsHot);
for (int i = 0; i < 4; i++)
{
alma.Update(new TValue(DateTime.UtcNow, 100));
Assert.False(alma.IsHot);
}
alma.Update(new TValue(DateTime.UtcNow, 100));
Assert.True(alma.IsHot);
}
[Fact]
public void Alma_StreamingMatchesBatch()
{
var almaStreaming = new Alma(10);
var almaBatch = new Alma(10);
var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42);
var series = new TSeries();
for (int i = 0; i < 100; i++)
{
var bar = gbm.Next(isNew: true);
series.Add(bar.Time, bar.Close);
}
// Streaming
var streamingResults = new TSeries();
foreach (var item in series)
{
streamingResults.Add(almaStreaming.Update(item));
}
// Batch
var batchResults = almaBatch.Update(series);
Assert.Equal(streamingResults.Count, batchResults.Count);
for (int i = 0; i < streamingResults.Count; i++)
{
Assert.Equal(streamingResults[i].Value, batchResults[i].Value, 1e-9);
}
}
[Fact]
public void Alma_StaticCalculate_MatchesInstance()
{
var series = new TSeries();
var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42);
for (int i = 0; i < 100; i++)
{
var bar = gbm.Next(isNew: true);
series.Add(bar.Time, bar.Close);
}
var instanceResults = new Alma(10).Update(series);
var staticResults = Alma.Calculate(series, 10);
for (int i = 0; i < instanceResults.Count; i++)
{
Assert.Equal(instanceResults[i].Value, staticResults[i].Value, 1e-9);
}
}
[Fact]
public void Alma_SpanCalculate_MatchesSeries()
{
var series = new TSeries();
var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42);
for (int i = 0; i < 100; i++)
{
var bar = gbm.Next(isNew: true);
series.Add(bar.Time, bar.Close);
}
var seriesResults = Alma.Calculate(series, 10);
double[] input = series.Values.ToArray();
double[] output = new double[input.Length];
Alma.Calculate(input.AsSpan(), output.AsSpan(), 10);
for (int i = 0; i < input.Length; i++)
{
Assert.Equal(seriesResults[i].Value, output[i], 1e-9);
}
}
[Fact]
public void Alma_Update_IsNewFalse_CorrectsValue()
{
var alma = new Alma(10);
var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42);
// Feed initial data
for (int i = 0; i < 20; i++)
{
var bar = gbm.Next(isNew: true);
alma.Update(new TValue(bar.Time, bar.Close), isNew: true);
}
// Update with isNew=false (correction)
var newBar = gbm.Next(isNew: true);
alma.Update(new TValue(newBar.Time, newBar.Close), isNew: true);
double valueAfterCommit = alma.Last.Value;
// Now update the SAME bar with a different value
alma.Update(new TValue(newBar.Time, newBar.Close + 10.0), isNew: false);
double valueAfterCorrection = alma.Last.Value;
Assert.NotEqual(valueAfterCommit, valueAfterCorrection);
// Now restore original value
alma.Update(new TValue(newBar.Time, newBar.Close), isNew: false);
Assert.Equal(valueAfterCommit, alma.Last.Value, 1e-9);
}
[Fact]
public void Alma_NaN_Input_UsesLastValidValue()
{
var alma = new Alma(5);
alma.Update(new TValue(DateTime.UtcNow, 100));
alma.Update(new TValue(DateTime.UtcNow, 110));
var resultAfterNaN = alma.Update(new TValue(DateTime.UtcNow, double.NaN));
Assert.True(double.IsFinite(resultAfterNaN.Value));
Assert.NotEqual(0, resultAfterNaN.Value);
}
[Fact]
public void Alma_Reset_ClearsState()
{
var alma = new Alma(10);
alma.Update(new TValue(DateTime.UtcNow, 100));
alma.Update(new TValue(DateTime.UtcNow, 110));
Assert.True(alma.Last.Value > 0);
alma.Reset();
Assert.Equal(0, alma.Last.Value);
Assert.False(alma.IsHot);
}
}