using Skender.Stock.Indicators; namespace QuanTAlib.Tests; public sealed class BetaValidationTests : IDisposable { private readonly ValidationTestData _data; public BetaValidationTests() { _data = new ValidationTestData(); } public void Dispose() { _data.Dispose(); } [Fact] public void Validate_Against_Skender() { // Generate Market Data (use existing Data) var marketQuotes = _data.Data; // Generate Asset Data correlated to Market // Asset Returns = 1.5 * Market Returns + Noise var assetQuotes = new List(); double assetPrice = 100; const double targetBeta = 1.5; // Use GBM for noise generation (sigma=0.2 gives ~0.0006 per step noise which matches original random noise level) var noiseGbm = new GBM(startPrice: 100, mu: 0, sigma: 0.2, seed: 777); assetQuotes.Add(new TBar(marketQuotes[0].Time, assetPrice, assetPrice, assetPrice, assetPrice, 1000)); for (int i = 1; i < marketQuotes.Count; i++) { double marketReturn = (marketQuotes[i].Value - marketQuotes[i - 1].Value) / marketQuotes[i - 1].Value; // Get noise from GBM return var noiseBar = noiseGbm.Next(); double noise = (noiseBar.Close - noiseBar.Open) / noiseBar.Open; double assetReturn = targetBeta * marketReturn + noise; assetPrice *= (1 + assetReturn); assetQuotes.Add(new TBar(marketQuotes[i].Time, assetPrice, assetPrice, assetPrice, assetPrice, 1000)); } // Skender // Skender expects IEnumerable var skenderMarket = marketQuotes.Select(x => new Quote { Date = x.AsDateTime, Close = (decimal)x.Value }).ToList(); var skenderAsset = assetQuotes.Select(x => new Quote { Date = x.AsDateTime, Close = (decimal)x.Close }).ToList(); int period = 20; var skenderBeta = skenderAsset.GetBeta(skenderMarket, period).ToList(); // QuanTAlib var beta = new Beta(period); var qlBeta = new List(); for (int i = 0; i < marketQuotes.Count; i++) { var result = beta.Update(assetQuotes[i].Close, marketQuotes[i].Value); qlBeta.Add(result.Value); } // Compare // Skip warmup period. Skender Beta needs period returns, so period+1 prices? // Skender results align with input quotes. // First valid value should be at index 'period'. // We verify the last 100 values int count = qlBeta.Count; int skip = period + 5; // Safety margin for (int i = skip; i < count; i++) { double sk = (skenderBeta[i].Beta ?? 0); double ql = qlBeta[i]; // Skender might return null/0 for warmup. if (Math.Abs(sk) > 1e-10) { Assert.Equal(sk, ql, ValidationHelper.DefaultTolerance); } } } }