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adding missing validations
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@@ -0,0 +1,131 @@
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using System.Runtime.CompilerServices;
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using TALib;
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using Xunit;
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using Xunit.Abstractions;
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namespace QuanTAlib.Tests;
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/// <summary>
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/// Validation for Typprice (Typical Price) = (H+L+C)/3.
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/// Cross-validated against TA-Lib TYPPRICE (exact match expected).
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/// Skender, Tulip, and Ooples do not implement TYPPRICE as a standalone function.
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/// </summary>
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public sealed class TyppriceValidationTests : IDisposable
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{
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private readonly ValidationTestData _data = new();
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private readonly ITestOutputHelper _output;
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private bool _disposed;
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public TyppriceValidationTests(ITestOutputHelper output)
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{
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_output = output;
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}
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public void Dispose()
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{
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Dispose(disposing: true);
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GC.SuppressFinalize(this);
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}
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private void Dispose(bool disposing)
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{
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if (!_disposed && disposing)
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{
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_data.Dispose();
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_disposed = true;
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}
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}
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// ── A) Cross-validate with TA-Lib TYPPRICE ────────────────────────────────
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[Fact]
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public void TALib_TypPrice_Batch_Validates()
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{
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double[] high = _data.HighPrices.ToArray();
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double[] low = _data.LowPrices.ToArray();
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double[] close = _data.ClosePrices.ToArray();
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// TA-Lib TypPrice
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var taOut = new double[high.Length];
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var retCode = Functions.TypPrice(high.AsSpan(), low.AsSpan(), close.AsSpan(),
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0..^0, taOut, out var outRange);
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Assert.Equal(Core.RetCode.Success, retCode);
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var (offset, length) = outRange.GetOffsetAndLength(taOut.Length);
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// QuanTAlib batch span
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var qlOut = new double[high.Length];
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Typprice.Batch(high.AsSpan(), low.AsSpan(), close.AsSpan(), qlOut.AsSpan());
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int mismatches = 0;
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for (int j = 0; j < length; j++)
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{
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int qi = j + offset;
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double err = Math.Abs(qlOut[qi] - taOut[j]);
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if (err > ValidationHelper.TalibTolerance) { mismatches++; }
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}
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double mismatchRate = (double)mismatches / length;
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_output.WriteLine($"TALib TYPPRICE: {length} compared, {mismatches} mismatches ({mismatchRate:P2})");
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Assert.Equal(0, mismatches);
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}
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// ── B) Streaming == Batch span ────────────────────────────────────────────
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[Fact]
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[SkipLocalsInit]
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public void Validate_Streaming_Equals_Batch()
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{
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const int N = 200;
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var gbm = new GBM(100.0, 0.05, 0.2, seed: 1002);
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var bars = new TBar[N];
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for (int i = 0; i < N; i++) { bars[i] = gbm.Next(isNew: true); }
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// Streaming
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var ind = new Typprice();
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for (int i = 0; i < N; i++) { ind.Update(bars[i], isNew: true); }
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double streamVal = ind.Last.Value;
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// Batch span
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double[] h = new double[N], l = new double[N], c = new double[N];
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for (int i = 0; i < N; i++) { h[i] = bars[i].High; l[i] = bars[i].Low; c[i] = bars[i].Close; }
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var qlOut = new double[N];
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Typprice.Batch(h.AsSpan(), l.AsSpan(), c.AsSpan(), qlOut.AsSpan());
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_output.WriteLine($"Streaming={streamVal:F10}, Batch={qlOut[N - 1]:F10}");
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Assert.Equal(streamVal, qlOut[N - 1], 1e-12);
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}
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// ── C) Formula verification: (H+L+C)/3 ───────────────────────────────────
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[Fact]
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public void Validate_Formula_Manual()
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{
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var bar = new TBar(DateTime.UtcNow, open: 10.0, high: 18.0, low: 6.0, close: 15.0, volume: 1000);
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var ind = new Typprice();
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var result = ind.Update(bar, isNew: true);
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double expected = (18.0 + 6.0 + 15.0) / 3.0; // = 13.0
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Assert.Equal(expected, result.Value, 1e-12);
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_output.WriteLine($"TYPPRICE formula: expected={expected}, actual={result.Value}: PASSED");
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}
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// ── D) Batch(TBarSeries) == Calculate ─────────────────────────────────────
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[Fact]
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public void Validate_BatchBarSeries_Equals_Calculate()
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{
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var (results, _) = Typprice.Calculate(_data.Bars);
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var batchResult = Typprice.Batch(_data.Bars);
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for (int i = 0; i < _data.Bars.Count; i++)
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{
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Assert.Equal(batchResult.Values[i], results.Values[i], 1e-12);
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}
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_output.WriteLine("TYPPRICE Batch(TBarSeries) == Calculate: PASSED");
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}
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// ── E) Determinism ────────────────────────────────────────────────────────
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[Fact]
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public void Validate_Deterministic()
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{
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var r1 = Typprice.Batch(_data.Bars);
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var r2 = Typprice.Batch(_data.Bars);
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for (int i = 0; i < r1.Count; i++) { Assert.Equal(r1.Values[i], r2.Values[i], 15); }
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_output.WriteLine("TYPPRICE determinism: PASSED");
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}
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}
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