mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-04 04:07:42 +00:00
c034cbd5e5
- 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.
267 lines
9.7 KiB
C#
267 lines
9.7 KiB
C#
using TradingPlatform.BusinessLayer;
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namespace QuanTAlib.Tests;
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public class CointegrationIndicatorTests
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{
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[Fact]
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public void CointegrationIndicator_Constructor_SetsDefaults()
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{
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var indicator = new CointegrationIndicator();
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Assert.Equal(20, indicator.Period);
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Assert.Equal(SourceType.Close, indicator.Source);
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Assert.Equal(SourceType.Open, indicator.Source2);
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Assert.True(indicator.ShowColdValues);
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Assert.Equal("COINT - Cointegration (Engle-Granger)", indicator.Name);
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Assert.True(indicator.SeparateWindow);
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Assert.True(indicator.OnBackGround);
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}
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[Fact]
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public void CointegrationIndicator_MinHistoryDepths_EqualsTwo()
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{
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var indicator = new CointegrationIndicator();
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Assert.Equal(2, CointegrationIndicator.MinHistoryDepths);
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Assert.Equal(2, ((IWatchlistIndicator)indicator).MinHistoryDepths);
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}
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[Fact]
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public void CointegrationIndicator_ShortName_IncludesPeriodAndSources()
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{
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var indicator = new CointegrationIndicator { Period = 20 };
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Assert.Contains("COINT", indicator.ShortName, StringComparison.Ordinal);
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Assert.Contains("20", indicator.ShortName, StringComparison.Ordinal);
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}
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[Fact]
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public void CointegrationIndicator_Initialize_CreatesInternalCointegration()
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{
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var indicator = new CointegrationIndicator { Period = 10 };
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// Initialize should not throw
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indicator.Initialize();
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// After init, line series should exist
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Assert.Single(indicator.LinesSeries);
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}
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[Fact]
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public void CointegrationIndicator_ProcessUpdate_HistoricalBar_ComputesValue()
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{
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var indicator = new CointegrationIndicator { Period = 5 };
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indicator.Initialize();
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// Add historical data
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var now = DateTime.UtcNow;
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indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
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// Process update
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var args = new UpdateArgs(UpdateReason.HistoricalBar);
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indicator.ProcessUpdate(args);
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// Line series should have a value (may be NaN during warmup)
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Assert.Equal(1, indicator.LinesSeries[0].Count);
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}
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[Fact]
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public void CointegrationIndicator_ProcessUpdate_NewBar_ComputesValue()
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{
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var indicator = new CointegrationIndicator { Period = 5 };
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indicator.Initialize();
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var now = DateTime.UtcNow;
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indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
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indicator.HistoricalData.AddBar(now.AddMinutes(1), 102, 108, 100, 106);
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indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
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indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewBar));
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Assert.Equal(2, indicator.LinesSeries[0].Count);
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}
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[Fact]
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public void CointegrationIndicator_ProcessUpdate_NewTick_ProcessesWithoutError()
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{
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var indicator = new CointegrationIndicator { Period = 5 };
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indicator.Initialize();
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var now = DateTime.UtcNow;
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indicator.HistoricalData.AddBar(now, 100, 105, 95, 102);
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indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
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double firstValue = indicator.LinesSeries[0].GetValue(0);
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// NewTick should not throw
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indicator.ProcessUpdate(new UpdateArgs(UpdateReason.NewTick));
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double secondValue = indicator.LinesSeries[0].GetValue(0);
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// Values should be produced (may be NaN during warmup, but should not throw)
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Assert.True(double.IsNaN(firstValue) || double.IsFinite(firstValue));
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Assert.True(double.IsNaN(secondValue) || double.IsFinite(secondValue));
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}
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[Fact]
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public void CointegrationIndicator_MultipleUpdates_ProducesSequence()
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{
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var indicator = new CointegrationIndicator { Period = 3 };
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indicator.Initialize();
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var now = DateTime.UtcNow;
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// Add bars with different O/C patterns to create cointegration signals
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double[] opens = { 100, 101, 102, 103, 104, 105 };
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double[] closes = { 100, 101, 102, 103, 104, 105 };
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for (int i = 0; i < opens.Length; i++)
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{
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indicator.HistoricalData.AddBar(now.AddMinutes(i), opens[i], opens[i] + 5, opens[i] - 5, closes[i]);
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indicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
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}
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// All values should exist
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Assert.Equal(opens.Length, indicator.LinesSeries[0].Count);
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}
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[Fact]
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public void CointegrationIndicator_DifferentSourceTypes_Work()
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{
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var sources = new[] { SourceType.Open, SourceType.High, SourceType.Low, SourceType.Close, SourceType.HL2, SourceType.HLC3 };
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foreach (var source in sources)
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{
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var indicator = new CointegrationIndicator { Period = 5, Source = source, Source2 = SourceType.Close };
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indicator.Initialize();
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var now = DateTime.UtcNow;
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indicator.HistoricalData.AddBar(now, 100, 110, 90, 105);
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indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
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// Should have computed a value (may be NaN during warmup, but should not throw)
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Assert.Equal(1, indicator.LinesSeries[0].Count);
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}
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}
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[Fact]
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public void CointegrationIndicator_CointegrationInterpretation()
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{
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// This test verifies the indicator produces meaningful cointegration values
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// when given perfectly correlated data (Open = Close), we expect strong cointegration
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var indicator = new CointegrationIndicator { Period = 5, Source = SourceType.Close, Source2 = SourceType.Open };
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indicator.Initialize();
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var now = DateTime.UtcNow;
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// Add perfectly proportional bars: Open always equals Close
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for (int i = 0; i < 20; i++)
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{
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double price = 100 + i;
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indicator.HistoricalData.AddBar(now.AddMinutes(i), price, price + 2, price - 2, price);
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indicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
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}
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// After warmup, should have finite values
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// (Note: when Close == Open exactly, residuals have zero variance, may produce NaN)
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Assert.Equal(20, indicator.LinesSeries[0].Count);
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}
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[Fact]
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public void CointegrationIndicator_DifferentSource2Types_Work()
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{
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var source2Types = new[] { SourceType.Open, SourceType.High, SourceType.Low, SourceType.HL2 };
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foreach (var source2 in source2Types)
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{
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var indicator = new CointegrationIndicator { Period = 5, Source = SourceType.Close, Source2 = source2 };
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indicator.Initialize();
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var now = DateTime.UtcNow;
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indicator.HistoricalData.AddBar(now, 100, 110, 90, 105);
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indicator.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
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Assert.Equal(1, indicator.LinesSeries[0].Count);
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}
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}
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[Fact]
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public void CointegrationIndicator_Period_CanBeChanged()
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{
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var indicator = new CointegrationIndicator { Period = 50 };
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Assert.Equal(50, indicator.Period);
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indicator.Period = 100;
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Assert.Equal(100, indicator.Period);
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}
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[Fact]
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public void CointegrationIndicator_Source2_CanBeChanged()
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{
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var indicator = new CointegrationIndicator { Source2 = SourceType.High };
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Assert.Equal(SourceType.High, indicator.Source2);
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indicator.Source2 = SourceType.Low;
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Assert.Equal(SourceType.Low, indicator.Source2);
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}
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[Fact]
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public void CointegrationIndicator_ReInitialize_ResetsState()
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{
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var indicator = new CointegrationIndicator { Period = 5 };
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indicator.Initialize();
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var now = DateTime.UtcNow;
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for (int i = 0; i < 10; i++)
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{
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indicator.HistoricalData.AddBar(now.AddMinutes(i), 100 + i, 105 + i, 95 + i, 102 + i);
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indicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
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}
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Assert.Equal(10, indicator.LinesSeries[0].Count);
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// Re-initialize should work without errors
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var indicator2 = new CointegrationIndicator { Period = 5 };
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indicator2.Initialize();
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indicator2.HistoricalData.AddBar(now.AddMinutes(100), 200, 210, 190, 205);
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indicator2.ProcessUpdate(new UpdateArgs(UpdateReason.HistoricalBar));
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Assert.Equal(1, indicator2.LinesSeries[0].Count);
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}
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[Fact]
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public void CointegrationIndicator_HighLow_ProducesValues()
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{
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// Test with High vs Low as a practical use case
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var indicator = new CointegrationIndicator { Period = 10, Source = SourceType.High, Source2 = SourceType.Low };
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indicator.Initialize();
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var now = DateTime.UtcNow;
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// Add bars with varying spread between high and low
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for (int i = 0; i < 15; i++)
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{
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double mid = 100 + (i * 0.5);
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double spread = 5 + (i % 3); // Varying spread
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indicator.HistoricalData.AddBar(now.AddMinutes(i), mid, mid + spread, mid - spread, mid);
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indicator.ProcessUpdate(new UpdateArgs(i == 0 ? UpdateReason.HistoricalBar : UpdateReason.NewBar));
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}
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Assert.Equal(15, indicator.LinesSeries[0].Count);
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// After warmup period, should have finite values
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double lastValue = indicator.LinesSeries[0].GetValue(0);
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// High and Low should be cointegrated (they move together)
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Assert.True(double.IsFinite(lastValue) || double.IsNaN(lastValue));
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}
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[Fact]
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public void CointegrationIndicator_Description_IsSet()
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{
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var indicator = new CointegrationIndicator();
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Assert.Contains("cointegration", indicator.Description, StringComparison.OrdinalIgnoreCase);
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Assert.Contains("ADF", indicator.Description, StringComparison.Ordinal);
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}
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} |