Files
QuanTAlib/lib/trends_FIR/kaiser/Kaiser.Quantower.Tests.cs
T
Miha Kralj 7253f61299 Add TRAMA implementation and comprehensive tests
- Implemented the TRAMA (Trend Regularity Adaptive Moving Average) class with adaptive EMA logic.
- Added unit tests for TRAMA functionality, including constructor validation, basic calculations, state management, and robustness checks.
- Created validation tests to ensure consistency across different modes of operation (streaming, batch, and static calculations).
- Enhanced documentation for TRAMA, including performance profiles and quality metrics.
- Updated workspace configuration by removing unnecessary folder references.
2026-02-21 20:45:38 -08:00

172 lines
5.5 KiB
C#

using TradingPlatform.BusinessLayer;
namespace QuanTAlib.Tests;
public class KaiserIndicatorTests
{
[Fact]
public void KaiserIndicator_Constructor_SetsDefaults()
{
var indicator = new KaiserIndicator();
Assert.Equal(14, indicator.Period);
Assert.Equal(3.0, indicator.Beta);
Assert.Equal(SourceType.Close, indicator.Source);
Assert.True(indicator.ShowColdValues);
Assert.Equal("KAISER - Kaiser Window Moving Average", indicator.Name);
Assert.False(indicator.SeparateWindow);
Assert.True(indicator.OnBackGround);
}
[Fact]
public void KaiserIndicator_MinHistoryDepths_IsZero()
{
var indicator = new KaiserIndicator { Period = 14 };
Assert.Equal(0, KaiserIndicator.MinHistoryDepths);
Assert.Equal(0, ((IWatchlistIndicator)indicator).MinHistoryDepths);
}
[Fact]
public void KaiserIndicator_ShortName_IncludesPeriodAndSource()
{
var indicator = new KaiserIndicator { Period = 10, Beta = 5.0 };
Assert.Contains("KAISER", indicator.ShortName, StringComparison.Ordinal);
Assert.Contains("10", indicator.ShortName, StringComparison.Ordinal);
Assert.Contains("5.0", indicator.ShortName, StringComparison.Ordinal);
}
[Fact]
public void KaiserIndicator_SourceCodeLink_IsValid()
{
var indicator = new KaiserIndicator();
Assert.Contains("github.com", indicator.SourceCodeLink, StringComparison.Ordinal);
Assert.Contains("Kaiser.Quantower.cs", indicator.SourceCodeLink, StringComparison.Ordinal);
}
[Fact]
public void KaiserIndicator_Initialize_CreatesInternalKaiser()
{
var indicator = new KaiserIndicator { Period = 14 };
indicator.Initialize();
Assert.Single(indicator.LinesSeries);
}
[Fact]
public void KaiserIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
{
var indicator = new KaiserIndicator { Period = 5 };
indicator.Initialize();
var now = DateTime.UtcNow;
indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
var args = new UpdateArgs(UpdateReason.HistoricalBar);
indicator.ProcessUpdate(args);
Assert.Equal(1, indicator.LinesSeries[0].Count);
Assert.True(double.IsFinite(indicator.LinesSeries[0].GetValue(0)));
}
[Fact]
public void KaiserIndicator_ProcessUpdate_NewBar_ComputesValue()
{
var indicator = new KaiserIndicator { Period = 5 };
indicator.Initialize();
var now = DateTime.UtcNow;
indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
indicator.HistoricalData.AddBar(now.AddMinutes(1), 102, 108, 100, 106);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewBar));
Assert.Equal(2, indicator.LinesSeries[0].Count);
}
[Fact]
public void KaiserIndicator_ProcessUpdate_NewTick_ProcessesWithoutError()
{
var indicator = new KaiserIndicator { Period = 5 };
indicator.Initialize();
var now = DateTime.UtcNow;
indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
double firstValue = indicator.LinesSeries[0].GetValue(0);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewTick));
double secondValue = indicator.LinesSeries[0].GetValue(0);
Assert.True(double.IsFinite(firstValue));
Assert.True(double.IsFinite(secondValue));
}
[Fact]
public void KaiserIndicator_MultipleUpdates_ProducesCorrectSequence()
{
var indicator = new KaiserIndicator { Period = 5 };
indicator.Initialize();
var now = DateTime.UtcNow;
double[] closes = { 100, 102, 104, 103, 105, 107, 106 };
foreach (var close in closes)
{
indicator.HistoricalData.AddBar(now, close, close + 2, close - 2, close);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
now = now.AddMinutes(1);
}
for (int i = 0; i < closes.Length; i++)
{
Assert.True(double.IsFinite(indicator.LinesSeries[0].GetValue(closes.Length - 1 - i)));
}
}
[Fact]
public void KaiserIndicator_DifferentSourceTypes_Work()
{
var sources = new[] { SourceType.Open, SourceType.High, SourceType.Low, SourceType.Close, SourceType.HL2, SourceType.HLC3 };
foreach (var source in sources)
{
var indicator = new KaiserIndicator { Period = 5, Source = source };
indicator.Initialize();
var now = DateTime.UtcNow;
indicator.HistoricalData.AddBar(now, 100, 110, 90, 105);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
Assert.True(double.IsFinite(indicator.LinesSeries[0].GetValue(0)),
$"Source {source} should produce finite value");
}
}
[Fact]
public void KaiserIndicator_Period_CanBeChanged()
{
var indicator = new KaiserIndicator { Period = 14 };
Assert.Equal(14, indicator.Period);
indicator.Period = 20;
Assert.Equal(20, indicator.Period);
Assert.Equal(0, KaiserIndicator.MinHistoryDepths);
}
[Fact]
public void KaiserIndicator_Beta_CanBeChanged()
{
var indicator = new KaiserIndicator { Beta = 3.0 };
Assert.Equal(3.0, indicator.Beta);
indicator.Beta = 8.6;
Assert.Equal(8.6, indicator.Beta);
}
}