Files
QuanTAlib/lib/statistics/cointegration/Cointegration.Quantower.Tests.cs
T
Miha Kralj c034cbd5e5 Add Yang-Zhang Volatility (YZV) Indicator Implementation
- Introduced YZV class for calculating Yang-Zhang Volatility, a comprehensive volatility measure that incorporates overnight, open-to-close, and high-low components.
- Implemented calculation methods, including batch processing for TBarSeries and spans.
- Added documentation for YZV, detailing its mathematical foundation, performance profile, and trading applications.
- Updated volume index documentation to reflect changes in file paths.
- Refactored VWMA calculation method to use a more generic source parameter instead of price.
2026-02-02 19:47:21 -08:00

267 lines
9.7 KiB
C#

using TradingPlatform.BusinessLayer;
namespace QuanTAlib.Tests;
public class CointegrationIndicatorTests
{
[Fact]
public void CointegrationIndicator_Constructor_SetsDefaults()
{
var indicator = new CointegrationIndicator();
Assert.Equal(20, indicator.Period);
Assert.Equal(SourceType.Close, indicator.Source);
Assert.Equal(SourceType.Open, indicator.Source2);
Assert.True(indicator.ShowColdValues);
Assert.Equal("COINT - Cointegration (Engle-Granger)", indicator.Name);
Assert.True(indicator.SeparateWindow);
Assert.True(indicator.OnBackGround);
}
[Fact]
public void CointegrationIndicator_MinHistoryDepths_EqualsTwo()
{
var indicator = new CointegrationIndicator();
Assert.Equal(2, CointegrationIndicator.MinHistoryDepths);
Assert.Equal(2, ((IWatchlistIndicator)indicator).MinHistoryDepths);
}
[Fact]
public void CointegrationIndicator_ShortName_IncludesPeriodAndSources()
{
var indicator = new CointegrationIndicator { Period = 20 };
Assert.Contains("COINT", indicator.ShortName, StringComparison.Ordinal);
Assert.Contains("20", indicator.ShortName, StringComparison.Ordinal);
}
[Fact]
public void CointegrationIndicator_Initialize_CreatesInternalCointegration()
{
var indicator = new CointegrationIndicator { Period = 10 };
// Initialize should not throw
indicator.Initialize();
// After init, line series should exist
Assert.Single(indicator.LinesSeries);
}
[Fact]
public void CointegrationIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
{
var indicator = new CointegrationIndicator { Period = 5 };
indicator.Initialize();
// Add historical data
var now = DateTime.UtcNow;
indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
// Process update
var args = new UpdateArgs(UpdateReason.HistoricalBar);
indicator.ProcessUpdate(args);
// Line series should have a value (may be NaN during warmup)
Assert.Equal(1, indicator.LinesSeries[0].Count);
}
[Fact]
public void CointegrationIndicator_ProcessUpdate_NewBar_ComputesValue()
{
var indicator = new CointegrationIndicator { 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 CointegrationIndicator_ProcessUpdate_NewTick_ProcessesWithoutError()
{
var indicator = new CointegrationIndicator { 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);
// NewTick should not throw
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewTick));
double secondValue = indicator.LinesSeries[0].GetValue(0);
// Values should be produced (may be NaN during warmup, but should not throw)
Assert.True(double.IsNaN(firstValue) || double.IsFinite(firstValue));
Assert.True(double.IsNaN(secondValue) || double.IsFinite(secondValue));
}
[Fact]
public void CointegrationIndicator_MultipleUpdates_ProducesSequence()
{
var indicator = new CointegrationIndicator { Period = 3 };
indicator.Initialize();
var now = DateTime.UtcNow;
// Add bars with different O/C patterns to create cointegration signals
double[] opens = { 100, 101, 102, 103, 104, 105 };
double[] closes = { 100, 101, 102, 103, 104, 105 };
for (int i = 0; i < opens.Length; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), opens[i], opens[i] + 5, opens[i] - 5, closes[i]);
indicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
}
// All values should exist
Assert.Equal(opens.Length, indicator.LinesSeries[0].Count);
}
[Fact]
public void CointegrationIndicator_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 CointegrationIndicator { Period = 5, Source = source, Source2 = SourceType.Close };
indicator.Initialize();
var now = DateTime.UtcNow;
indicator.HistoricalData.AddBar(now, 100, 110, 90, 105);
indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
// Should have computed a value (may be NaN during warmup, but should not throw)
Assert.Equal(1, indicator.LinesSeries[0].Count);
}
}
[Fact]
public void CointegrationIndicator_CointegrationInterpretation()
{
// This test verifies the indicator produces meaningful cointegration values
// when given perfectly correlated data (Open = Close), we expect strong cointegration
var indicator = new CointegrationIndicator { Period = 5, Source = SourceType.Close, Source2 = SourceType.Open };
indicator.Initialize();
var now = DateTime.UtcNow;
// Add perfectly proportional bars: Open always equals Close
for (int i = 0; i < 20; i++)
{
double price = 100 + i;
indicator.HistoricalData.AddBar(now.AddMinutes(i), price, price + 2, price - 2, price);
indicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
}
// After warmup, should have finite values
// (Note: when Close == Open exactly, residuals have zero variance, may produce NaN)
Assert.Equal(20, indicator.LinesSeries[0].Count);
}
[Fact]
public void CointegrationIndicator_DifferentSource2Types_Work()
{
var source2Types = new[] { SourceType.Open, SourceType.High, SourceType.Low, SourceType.HL2 };
foreach (var source2 in source2Types)
{
var indicator = new CointegrationIndicator { Period = 5, Source = SourceType.Close, Source2 = source2 };
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 CointegrationIndicator_Period_CanBeChanged()
{
var indicator = new CointegrationIndicator { Period = 50 };
Assert.Equal(50, indicator.Period);
indicator.Period = 100;
Assert.Equal(100, indicator.Period);
}
[Fact]
public void CointegrationIndicator_Source2_CanBeChanged()
{
var indicator = new CointegrationIndicator { Source2 = SourceType.High };
Assert.Equal(SourceType.High, indicator.Source2);
indicator.Source2 = SourceType.Low;
Assert.Equal(SourceType.Low, indicator.Source2);
}
[Fact]
public void CointegrationIndicator_ReInitialize_ResetsState()
{
var indicator = new CointegrationIndicator { Period = 5 };
indicator.Initialize();
var now = DateTime.UtcNow;
for (int i = 0; i < 10; i++)
{
indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 105 + i, 95 + i, 102 + i);
indicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
}
Assert.Equal(10, indicator.LinesSeries[0].Count);
// Re-initialize should work without errors
var indicator2 = new CointegrationIndicator { Period = 5 };
indicator2.Initialize();
indicator2.HistoricalData.AddBar(now.AddMinutes(100), 200, 210, 190, 205);
indicator2.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
Assert.Equal(1, indicator2.LinesSeries[0].Count);
}
[Fact]
public void CointegrationIndicator_HighLow_ProducesValues()
{
// Test with High vs Low as a practical use case
var indicator = new CointegrationIndicator { Period = 10, Source = SourceType.High, Source2 = SourceType.Low };
indicator.Initialize();
var now = DateTime.UtcNow;
// Add bars with varying spread between high and low
for (int i = 0; i < 15; i++)
{
double mid = 100 + (i * 0.5);
double spread = 5 + (i % 3); // Varying spread
indicator.HistoricalData.AddBar(now.AddMinutes(i), mid, mid + spread, mid - spread, mid);
indicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
}
Assert.Equal(15, indicator.LinesSeries[0].Count);
// After warmup period, should have finite values
double lastValue = indicator.LinesSeries[0].GetValue(0);
// High and Low should be cointegrated (they move together)
Assert.True(double.IsFinite(lastValue) || double.IsNaN(lastValue));
}
[Fact]
public void CointegrationIndicator_Description_IsSet()
{
var indicator = new CointegrationIndicator();
Assert.Contains("cointegration", indicator.Description, StringComparison.OrdinalIgnoreCase);
Assert.Contains("ADF", indicator.Description, StringComparison.Ordinal);
}
}