using System.Runtime.CompilerServices; using TALib; using Xunit; using Xunit.Abstractions; namespace QuanTAlib.Tests; /// /// Validation for Typprice (Typical Price) = (H+L+C)/3. /// Cross-validated against TA-Lib TYPPRICE (exact match expected). /// Skender, Tulip, and Ooples do not implement TYPPRICE as a standalone function. /// public sealed class TyppriceValidationTests : IDisposable { private readonly ValidationTestData _data = new(); private readonly ITestOutputHelper _output; private bool _disposed; public TyppriceValidationTests(ITestOutputHelper output) { _output = output; } public void Dispose() { Dispose(disposing: true); GC.SuppressFinalize(this); } private void Dispose(bool disposing) { if (!_disposed && disposing) { _data.Dispose(); _disposed = true; } } // ── A) Cross-validate with TA-Lib TYPPRICE ──────────────────────────────── [Fact] public void TALib_TypPrice_Batch_Validates() { double[] high = _data.HighPrices.ToArray(); double[] low = _data.LowPrices.ToArray(); double[] close = _data.ClosePrices.ToArray(); // TA-Lib TypPrice var taOut = new double[high.Length]; var retCode = Functions.TypPrice(high.AsSpan(), low.AsSpan(), close.AsSpan(), 0..^0, taOut, out var outRange); Assert.Equal(Core.RetCode.Success, retCode); var (offset, length) = outRange.GetOffsetAndLength(taOut.Length); // QuanTAlib batch span var qlOut = new double[high.Length]; Typprice.Batch(high.AsSpan(), low.AsSpan(), close.AsSpan(), qlOut.AsSpan()); int mismatches = 0; for (int j = 0; j < length; j++) { int qi = j + offset; double err = Math.Abs(qlOut[qi] - taOut[j]); if (err > ValidationHelper.TalibTolerance) { mismatches++; } } double mismatchRate = (double)mismatches / length; _output.WriteLine($"TALib TYPPRICE: {length} compared, {mismatches} mismatches ({mismatchRate:P2})"); Assert.Equal(0, mismatches); } // ── B) Streaming == Batch span ──────────────────────────────────────────── [Fact] [SkipLocalsInit] public void Validate_Streaming_Equals_Batch() { const int N = 200; var gbm = new GBM(100.0, 0.05, 0.2, seed: 1002); var bars = new TBar[N]; for (int i = 0; i < N; i++) { bars[i] = gbm.Next(isNew: true); } // Streaming var ind = new Typprice(); for (int i = 0; i < N; i++) { ind.Update(bars[i], isNew: true); } double streamVal = ind.Last.Value; // Batch span double[] h = new double[N], l = new double[N], c = new double[N]; for (int i = 0; i < N; i++) { h[i] = bars[i].High; l[i] = bars[i].Low; c[i] = bars[i].Close; } var qlOut = new double[N]; Typprice.Batch(h.AsSpan(), l.AsSpan(), c.AsSpan(), qlOut.AsSpan()); _output.WriteLine($"Streaming={streamVal:F10}, Batch={qlOut[N - 1]:F10}"); Assert.Equal(streamVal, qlOut[N - 1], 1e-12); } // ── C) Formula verification: (H+L+C)/3 ─────────────────────────────────── [Fact] public void Validate_Formula_Manual() { var bar = new TBar(DateTime.UtcNow, open: 10.0, high: 18.0, low: 6.0, close: 15.0, volume: 1000); var ind = new Typprice(); var result = ind.Update(bar, isNew: true); double expected = (18.0 + 6.0 + 15.0) / 3.0; // = 13.0 Assert.Equal(expected, result.Value, 1e-12); _output.WriteLine($"TYPPRICE formula: expected={expected}, actual={result.Value}: PASSED"); } // ── D) Batch(TBarSeries) == Calculate ───────────────────────────────────── [Fact] public void Validate_BatchBarSeries_Equals_Calculate() { var (results, _) = Typprice.Calculate(_data.Bars); var batchResult = Typprice.Batch(_data.Bars); for (int i = 0; i < _data.Bars.Count; i++) { Assert.Equal(batchResult.Values[i], results.Values[i], 1e-12); } _output.WriteLine("TYPPRICE Batch(TBarSeries) == Calculate: PASSED"); } // ── E) Determinism ──────────────────────────────────────────────────────── [Fact] public void Validate_Deterministic() { var r1 = Typprice.Batch(_data.Bars); var r2 = Typprice.Batch(_data.Bars); for (int i = 0; i < r1.Count; i++) { Assert.Equal(r1.Values[i], r2.Values[i], 15); } _output.WriteLine("TYPPRICE determinism: PASSED"); } }