using Skender.Stock.Indicators; using OoplesFinance.StockIndicators; using OoplesFinance.StockIndicators.Models; using Xunit.Abstractions; namespace QuanTAlib.Tests; public sealed class AlmaValidationTests : IDisposable { // Note: ALMA is not available in TA-Lib or Tulip, // validation is limited to Skender.Stock.Indicators and OoplesFinance.StockIndicators. private readonly ValidationTestData _testData; private readonly ITestOutputHelper _output; private bool _disposed; public AlmaValidationTests(ITestOutputHelper output) { _output = output; _testData = new ValidationTestData(count: 10000, seed: 42); } public void Dispose() { Dispose(true); } private void Dispose(bool disposing) { if (_disposed) { return; } _disposed = true; if (disposing) { _testData?.Dispose(); } } [Fact] public void Validate_Skender_Batch() { int[] periods = { 9, 14, 20, 50 }; const double offset = 0.85; double sigma = 6.0; foreach (var period in periods) { // Calculate QuanTAlib ALMA (batch TSeries) var alma = new global::QuanTAlib.Alma(period, offset, sigma); var qResult = alma.Update(_testData.Data); // Calculate Skender ALMA var sResult = _testData.SkenderQuotes.GetAlma(period, offset, sigma).ToList(); // Compare last 100 records ValidationHelper.VerifyData(qResult, sResult, (s) => s.Alma); } _output.WriteLine("ALMA Batch(TSeries) validated successfully against Skender"); } [Fact] public void Validate_Skender_Streaming() { int[] periods = { 9, 14, 20, 50 }; double offset = 0.85; double sigma = 6.0; foreach (var period in periods) { // Calculate QuanTAlib ALMA (streaming) var alma = new global::QuanTAlib.Alma(period, offset, sigma); var qResults = new List(); foreach (var item in _testData.Data) { qResults.Add(alma.Update(item).Value); } // Calculate Skender ALMA var sResult = _testData.SkenderQuotes.GetAlma(period, offset, sigma).ToList(); // Compare last 100 records ValidationHelper.VerifyData(qResults, sResult, (s) => s.Alma); } _output.WriteLine("ALMA Streaming validated successfully against Skender"); } [Fact] public void Validate_Skender_Span() { int[] periods = { 9, 14, 20, 50 }; double offset = 0.85; double sigma = 6.0; // Prepare data for Span API ReadOnlySpan sourceData = _testData.RawData.Span; foreach (var period in periods) { // Calculate QuanTAlib ALMA (Span API) double[] qOutput = new double[sourceData.Length]; global::QuanTAlib.Alma.Batch(sourceData, qOutput.AsSpan(), period, offset, sigma); // Calculate Skender ALMA var sResult = _testData.SkenderQuotes.GetAlma(period, offset, sigma).ToList(); // Compare last 100 records ValidationHelper.VerifyData(qOutput, sResult, (s) => s.Alma); } _output.WriteLine("ALMA Span validated successfully against Skender"); } [Fact] public void Validate_Ooples_Batch() { int[] periods = { 9, 14, 20, 50 }; double offset = 0.85; double sigma = 6.0; // Prepare data for Ooples var ooplesData = _testData.SkenderQuotes.Select(q => new TickerData { Date = q.Date, Open = (double)q.Open, High = (double)q.High, Low = (double)q.Low, Close = (double)q.Close, Volume = (double)q.Volume }).ToList(); foreach (var period in periods) { // 1. Calculate Ooples ALMA var stockData = new StockData(ooplesData); var oResult = stockData.CalculateArnaudLegouxMovingAverage(period, offset, (int)sigma); var oAlma = oResult.OutputValues["Alma"]; // 2. Calculate QuanTAlib ALMA var alma = new global::QuanTAlib.Alma(period, offset, sigma); var qResult = alma.Update(_testData.Data); // 3. Verify ValidationHelper.VerifyData(qResult, oAlma, x => x, skip: 100, tolerance: ValidationHelper.OoplesTolerance); } _output.WriteLine("ALMA Batch validated successfully against Ooples"); } }