Files
QuanTAlib/lib/momentum/sam/Sam.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

223 lines
6.5 KiB
C#

using TradingPlatform.BusinessLayer;
namespace QuanTAlib.Tests;
public class SamIndicatorTests
{
[Fact]
public void SamIndicator_Constructor_SetsDefaults()
{
var indicator = new SamIndicator();
Assert.Equal(0.07, indicator.Alpha);
Assert.Equal(8, indicator.Cutoff);
Assert.Equal(SourceType.Close, indicator.Source);
Assert.True(indicator.ShowColdValues);
Assert.Equal("SAM - Smoothed Adaptive Momentum", indicator.Name);
Assert.True(indicator.SeparateWindow);
Assert.False(indicator.OnBackGround);
}
[Fact]
public void SamIndicator_MinHistoryDepths_Is100()
{
var indicator = new SamIndicator();
Assert.Equal(100, indicator.MinHistoryDepths);
}
[Fact]
public void SamIndicator_ShortName_IncludesParams()
{
var indicator = new SamIndicator { Alpha = 0.1, Cutoff = 12 };
Assert.Equal("SAM(0.1,12)", indicator.ShortName);
}
[Fact]
public void SamIndicator_Initialize_CreatesLineSeries()
{
var indicator = new SamIndicator();
indicator.Initialize();
Assert.Equal(2, indicator.LinesSeries.Count);
Assert.Equal("SAM", indicator.LinesSeries[0].Name);
Assert.Equal("Zero", indicator.LinesSeries[1].Name);
}
[Fact]
public void SamIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
{
var indicator = new SamIndicator();
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.Equal(1, indicator.LinesSeries[1].Count);
}
[Fact]
public void SamIndicator_ProcessUpdate_NewBar_ComputesValue()
{
var indicator = new SamIndicator();
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 SamIndicator_ProcessUpdate_NewTick_ProcessesWithoutError()
{
var indicator = new SamIndicator();
indicator.Initialize();
var now = DateTime.UtcNow;
indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewTick));
Assert.Equal(2, indicator.LinesSeries[0].Count);
}
[Fact]
public void SamIndicator_MultipleUpdates_ProducesCorrectSequence()
{
var indicator = new SamIndicator();
indicator.Initialize();
var now = DateTime.UtcNow;
for (int i = 0; i < 20; i++)
{
indicator.HistoricalData.AddBar(
now.AddMinutes(i),
100 + i * 2,
105 + i * 2,
95 + i * 2,
102 + i * 2);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
}
Assert.Equal(20, indicator.LinesSeries[0].Count);
for (int i = 0; i < 20; i++)
{
Assert.True(double.IsFinite(indicator.LinesSeries[0].GetValue(i)));
Assert.Equal(0, indicator.LinesSeries[1].GetValue(i));
}
}
[Fact]
public void SamIndicator_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 SamIndicator { Source = source };
indicator.Initialize();
var now = DateTime.UtcNow;
indicator.HistoricalData.AddBar(now, 100, 110, 90, 105);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
Assert.Equal(1, indicator.LinesSeries[0].Count);
}
}
[Fact]
public void SamIndicator_ShowColdValues_False_SetsNaN()
{
var indicator = new SamIndicator { ShowColdValues = false };
indicator.Initialize();
var now = DateTime.UtcNow;
indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
Assert.True(double.IsNaN(indicator.LinesSeries[0].GetValue(0)));
}
[Fact]
public void SamIndicator_FlatPrices_ProducesZeroSam()
{
var indicator = new SamIndicator();
indicator.Initialize();
var now = DateTime.UtcNow;
// Feed enough flat bars to pass warmup (100+)
for (int i = 0; i < 150; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), 100, 100, 100, 100);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
}
double lastSam = indicator.LinesSeries[0].GetValue(0);
Assert.Equal(0, lastSam, 5);
}
[Fact]
public void SamIndicator_DifferentAlphas_Work()
{
var alphas = new[] { 0.01, 0.07, 0.2, 0.5, 1.0 };
foreach (var alpha in alphas)
{
var indicator = new SamIndicator { Alpha = alpha };
indicator.Initialize();
var now = DateTime.UtcNow;
for (int i = 0; i < 10; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 102 + i, 98 + i, 101 + i);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
}
Assert.Equal(10, indicator.LinesSeries[0].Count);
}
}
[Fact]
public void SamIndicator_DifferentCutoffs_Work()
{
var cutoffs = new[] { 2, 8, 16, 30 };
foreach (var cutoff in cutoffs)
{
var indicator = new SamIndicator { Cutoff = cutoff };
indicator.Initialize();
var now = DateTime.UtcNow;
for (int i = 0; i < 10; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 102 + i, 98 + i, 101 + i);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
}
Assert.Equal(10, indicator.LinesSeries[0].Count);
}
}
}