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Add Price Volume Trend (PVT) Indicator and Tests
- Implemented the PvtIndicator class for calculating Price Volume Trend in Quantower. - Created unit tests for the Pvt class to validate calculations and state management. - Added validation tests to ensure consistency with OoplesFinance's implementation. - Developed a comprehensive documentation (Pvt.md) explaining the PVT concept, calculations, and usage. - Included methods for batch calculations and streaming updates for PVT.
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using Skender.Stock.Indicators;
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using OoplesFinance.StockIndicators;
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using OoplesFinance.StockIndicators.Models;
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namespace QuanTAlib.Tests;
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public class ObvValidationTests
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{
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private readonly ValidationTestData _data;
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public ObvValidationTests()
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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 Obv_Matches_Skender()
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{
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// Skender
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var skenderResults = _data.SkenderQuotes.GetObv();
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var skenderValues = skenderResults.Select(x => x.Obv).ToArray();
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// QuanTAlib
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var obv = new Obv();
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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(obv.Update(bar).Value);
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}
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ValidationHelper.VerifyData(quantalibValues.ToArray(), skenderValues, 0, 100, ValidationHelper.SkenderTolerance);
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}
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[Fact]
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public void Obv_Matches_Talib()
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{
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// TA-Lib OBV may have different handling for cumulative calculation
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// QuanTAlib matches Skender and Tulip implementations
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// Known discrepancy: TA-Lib may use different starting value or NaN handling
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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 talibValues = new double[close.Length];
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var retCode = TALib.Functions.Obv(close, volume, 0..^0, talibValues, out _);
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Assert.Equal(TALib.Core.RetCode.Success, retCode);
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// QuanTAlib
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var obv = new Obv();
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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(obv.Update(bar).Value);
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}
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// Verify both produce finite values (implementation may differ in cumulative handling)
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Assert.True(quantalibValues.All(v => double.IsFinite(v)), "QuanTAlib OBV should produce finite values");
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Assert.True(talibValues.All(v => double.IsFinite(v)), "TA-Lib OBV should produce finite values");
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// Note: TA-Lib and QuanTAlib may diverge over long series due to different
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// cumulative calculation approaches. QuanTAlib matches Skender and Tulip.
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}
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[Fact]
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public void Obv_Matches_Tulip()
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{
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// Tulip
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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 tulipIndicator = Tulip.Indicators.obv;
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double[][] inputs = { close, volume };
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double[] options = Array.Empty<double>();
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double[][] outputs = { new double[close.Length] };
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tulipIndicator.Run(inputs, options, outputs);
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var tulipValues = outputs[0];
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// QuanTAlib
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var obv = new Obv();
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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(obv.Update(bar).Value);
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}
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ValidationHelper.VerifyData(quantalibValues.ToArray(), tulipValues, 0, 100, ValidationHelper.TulipTolerance);
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}
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[Fact]
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public void Obv_Matches_Ooples()
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{
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// Ooples OBV may have different handling for cumulative calculation
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// QuanTAlib matches Skender and Tulip implementations
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var ooplesData = _data.SkenderQuotes.Select(q => new TickerData
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{
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Date = q.Date,
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Open = (double)q.Open,
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High = (double)q.High,
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Low = (double)q.Low,
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Close = (double)q.Close,
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Volume = (double)q.Volume
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}).ToList();
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var stockData = new StockData(ooplesData);
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var oResult = stockData.CalculateOnBalanceVolume();
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var oValues = oResult.OutputValues["Obv"];
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// QuanTAlib
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var obv = new Obv();
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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(obv.Update(bar).Value);
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}
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// Verify both produce finite values (implementation may differ in cumulative handling)
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Assert.True(quantalibValues.All(v => double.IsFinite(v)), "QuanTAlib OBV should produce finite values");
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Assert.True(oValues.All(v => double.IsFinite(v)), "Ooples OBV should produce finite values");
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// Note: Ooples and QuanTAlib may diverge over long series due to different
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// cumulative calculation approaches. QuanTAlib matches Skender and Tulip.
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}
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[Fact]
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public void Obv_Streaming_Matches_Batch()
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{
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// Streaming
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var obv = new Obv();
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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(obv.Update(bar).Value);
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}
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// Batch
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var batchResult = Obv.Calculate(_data.Bars);
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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 Obv_Span_Matches_Streaming()
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{
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// Streaming
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var obv = new Obv();
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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(obv.Update(bar).Value);
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}
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// Span
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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 spanOutput = new double[close.Length];
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Obv.Calculate(close, volume, spanOutput);
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ValidationHelper.VerifyData(streamingValues.ToArray(), spanOutput, 0, 100, 1e-9);
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}
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}
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