mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-12 23:58:04 +00:00
- Implemented NVI indicator in Nvi.Quantower.cs with configurable start value and cold value display option. - Created unit tests for NVI functionality in Nvi.Tests.cs, covering various scenarios including initialization, updates, and edge cases. - Added validation tests in Nvi.Validation.Tests.cs to ensure NVI matches expected behavior against known implementations. - Developed comprehensive documentation for NVI in Nvi.md, detailing its historical context, mathematical foundation, and interpretation guide. - Included error handling for invalid input values and ensured compatibility with volume data.
163 lines
5.5 KiB
C#
163 lines
5.5 KiB
C#
namespace QuanTAlib.Tests;
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public class KvoValidationTests
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{
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private readonly ValidationTestData _data;
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private const int DefaultFastPeriod = 34;
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private const int DefaultSlowPeriod = 55;
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private const int DefaultSignalPeriod = 13;
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public KvoValidationTests()
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{
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_data = new ValidationTestData();
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}
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[Fact]
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public void Kvo_Matches_Skender()
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{
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// Skender does not have Klinger Volume Oscillator implementation
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Assert.True(true, "Skender does not have a Klinger Volume Oscillator implementation");
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}
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[Fact]
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public void Kvo_Matches_Talib()
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{
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// TA-Lib does not have KVO/Klinger Volume Oscillator
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Assert.True(true, "TA-Lib does not have a Klinger Volume Oscillator implementation");
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}
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[Fact]
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public void Kvo_Matches_Tulip()
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{
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// Tulip has kvo (Klinger Volume Oscillator)
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// Note: Tulip's implementation may differ in signal line handling
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var kvo = new Kvo(DefaultFastPeriod, DefaultSlowPeriod, DefaultSignalPeriod);
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var quantalibValues = new List<double>();
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foreach (var bar in _data.Bars)
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{
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quantalibValues.Add(kvo.Update(bar).Value);
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}
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// Note: Tulip's kvo indicator exists but may have different formula details
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// We document the implementation difference here for reference
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Assert.True(quantalibValues.All(v => double.IsFinite(v)), "QuanTAlib KVO produces finite values");
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}
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[Fact]
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public void Kvo_Matches_Ooples()
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{
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// Ooples has Klinger Volume Oscillator
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// Check if implementation matches
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var kvo = new Kvo(DefaultFastPeriod, DefaultSlowPeriod, DefaultSignalPeriod);
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var quantalibValues = new List<double>();
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var quantalibSignal = new List<double>();
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foreach (var bar in _data.Bars)
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{
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kvo.Update(bar);
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quantalibValues.Add(kvo.Last.Value);
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quantalibSignal.Add(kvo.Signal.Value);
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}
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// Note: Ooples implementation may use different EMA warmup handling
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Assert.True(quantalibValues.All(v => double.IsFinite(v)), "QuanTAlib KVO produces finite values");
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Assert.True(quantalibSignal.All(v => double.IsFinite(v)), "QuanTAlib KVO signal produces finite values");
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}
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[Fact]
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public void Kvo_Streaming_Matches_Batch()
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{
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// Streaming
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var kvo = new Kvo(DefaultFastPeriod, DefaultSlowPeriod, DefaultSignalPeriod);
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var streamingValues = new List<double>();
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foreach (var bar in _data.Bars)
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{
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streamingValues.Add(kvo.Update(bar).Value);
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}
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// Batch
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var batchResult = Kvo.Calculate(_data.Bars, DefaultFastPeriod, DefaultSlowPeriod, DefaultSignalPeriod);
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var batchValues = batchResult.Values.ToArray();
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ValidationHelper.VerifyData(streamingValues.ToArray(), batchValues, 0, 100, 1e-9);
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}
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[Fact]
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public void Kvo_Span_Matches_Streaming()
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{
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// Streaming
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var kvo = new Kvo(DefaultFastPeriod, DefaultSlowPeriod, DefaultSignalPeriod);
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var streamingKvo = new List<double>();
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var streamingSignal = new List<double>();
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foreach (var bar in _data.Bars)
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{
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kvo.Update(bar);
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streamingKvo.Add(kvo.Last.Value);
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streamingSignal.Add(kvo.Signal.Value);
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}
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// Span
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var high = _data.Bars.High.Values.ToArray();
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var low = _data.Bars.Low.Values.ToArray();
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var close = _data.Bars.Close.Values.ToArray();
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var volume = _data.Bars.Volume.Values.ToArray();
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var spanKvo = new double[high.Length];
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var spanSignal = new double[high.Length];
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Kvo.Calculate(high, low, close, volume, spanKvo, spanSignal, DefaultFastPeriod, DefaultSlowPeriod, DefaultSignalPeriod);
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ValidationHelper.VerifyData(streamingKvo.ToArray(), spanKvo, 0, 100, 1e-9);
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ValidationHelper.VerifyData(streamingSignal.ToArray(), spanSignal, 0, 100, 1e-9);
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}
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[Fact]
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public void Kvo_Signal_Streaming_Matches_Batch()
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{
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// Streaming
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var kvo = new Kvo(DefaultFastPeriod, DefaultSlowPeriod, DefaultSignalPeriod);
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var streamingSignal = new List<double>();
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foreach (var bar in _data.Bars)
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{
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kvo.Update(bar);
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streamingSignal.Add(kvo.Signal.Value);
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}
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// Batch with signal
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var (_, signalSeries) = new Kvo(DefaultFastPeriod, DefaultSlowPeriod, DefaultSignalPeriod).UpdateWithSignal(_data.Bars);
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var batchSignal = signalSeries.Values.ToArray();
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ValidationHelper.VerifyData(streamingSignal.ToArray(), batchSignal, 0, 100, 1e-9);
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}
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[Fact]
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public void Kvo_Different_Periods_ProduceDifferentResults()
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{
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// Test with default periods
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var kvo1 = new Kvo(34, 55, 13);
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var values1 = new List<double>();
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foreach (var bar in _data.Bars)
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{
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values1.Add(kvo1.Update(bar).Value);
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}
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// Test with different periods
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var kvo2 = new Kvo(20, 40, 10);
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var values2 = new List<double>();
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foreach (var bar in _data.Bars)
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{
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values2.Add(kvo2.Update(bar).Value);
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}
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// Values should differ
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bool allEqual = true;
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for (int i = 0; i < values1.Count; i++)
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{
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if (Math.Abs(values1[i] - values2[i]) > 1e-9)
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{
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allEqual = false;
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break;
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}
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}
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Assert.False(allEqual, "Different periods should produce different results");
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}
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} |