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Add Chaikin Money Flow (CMF) Indicator Implementation and Tests
- Implemented CMF indicator in Cmf.cs with detailed calculations and methods. - Created unit tests for CMF validation against Skender, Ooples, and batch processing. - Added documentation for CMF in Cmf.md, explaining its purpose, calculations, and usage. - Updated project files to include new statistics library. - Updated NDepend badges to reflect changes in classes, methods, and lines of code.
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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 CmfValidationTests
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{
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private readonly ValidationTestData _data;
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private const int DefaultPeriod = 20;
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public CmfValidationTests()
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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 Cmf_Matches_Skender()
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{
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// Skender
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var skenderResults = _data.SkenderQuotes.GetCmf(DefaultPeriod);
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var skenderValues = skenderResults.Select(x => x.Cmf ?? double.NaN).ToArray();
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// QuanTAlib
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var cmf = new Cmf(DefaultPeriod);
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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(cmf.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 Cmf_Matches_Talib()
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{
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// TA-Lib uses ADOSC (AD Oscillator) which is different from CMF
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// TA-Lib does not have a direct CMF function
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// We'll compare against MFI which is related but different
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// Skip this test as there's no direct CMF in TA-Lib
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Assert.True(true, "TA-Lib does not have a direct CMF implementation");
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}
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[Fact]
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public void Cmf_Matches_Tulip()
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{
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// Tulip does not have CMF indicator
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// Skip this test
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Assert.True(true, "Tulip does not have a CMF implementation");
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}
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[Fact]
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public void Cmf_Matches_Ooples()
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{
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// Ooples
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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.CalculateChaikinMoneyFlow(DefaultPeriod);
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var oValues = oResult.OutputValues["Cmf"];
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// QuanTAlib
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var cmf = new Cmf(DefaultPeriod);
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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(cmf.Update(bar).Value);
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}
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ValidationHelper.VerifyData(quantalibValues.ToArray(), oValues.ToArray(), 0, 100, ValidationHelper.OoplesTolerance);
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}
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[Fact]
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public void Cmf_Streaming_Matches_Batch()
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{
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// Streaming
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var cmf = new Cmf(DefaultPeriod);
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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(cmf.Update(bar).Value);
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}
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// Batch
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var batchResult = Cmf.Calculate(_data.Bars, DefaultPeriod);
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var batchValues = batchResult.Values.ToArray();
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ValidationHelper.VerifyData(streamingValues.ToArray(), batchValues, 0, 100, 1e-12);
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}
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[Fact]
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public void Cmf_Span_Matches_Streaming()
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{
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// Streaming
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var cmf = new Cmf(DefaultPeriod);
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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(cmf.Update(bar).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 spanValues = new double[high.Length];
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Cmf.Calculate(high, low, close, volume, spanValues, DefaultPeriod);
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ValidationHelper.VerifyData(streamingValues.ToArray(), spanValues, 0, 100, 1e-12);
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}
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}
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