mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-15 17:18:05 +00:00
233 lines
9.2 KiB
C#
233 lines
9.2 KiB
C#
using System.Runtime.CompilerServices;
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using Skender.Stock.Indicators;
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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 Avgprice (Average Price) = (O+H+L+C)/4.
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/// Cross-validated against TA-Lib AVGPRICE and Skender CandlePart.OHLC4.
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/// </summary>
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public sealed class AvgpriceValidationTests : 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 AvgpriceValidationTests(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 AVGPRICE ────────────────────────────────
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[Fact]
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public void TALib_AvgPrice_Batch_Validates()
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{
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double[] open = _data.OpenPrices.ToArray();
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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 AvgPrice
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var taOut = new double[open.Length];
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var retCode = Functions.AvgPrice(open.AsSpan(), high.AsSpan(), low.AsSpan(), close.AsSpan(),
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0..^0, taOut, out var outRange);
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Assert.Equal(TALib.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[open.Length];
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Avgprice.Batch(open.AsSpan(), 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 AVGPRICE: {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: 1001);
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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 Avgprice();
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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[] o = new double[N], h = new double[N], l = new double[N], c = new double[N];
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for (int i = 0; i < N; i++) { o[i] = bars[i].Open; 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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Avgprice.Batch(o.AsSpan(), 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: (O+H+L+C)/4 ─────────────────────────────────
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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: 20.0, low: 5.0, close: 15.0, volume: 1000);
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var ind = new Avgprice();
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var result = ind.Update(bar, isNew: true);
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double expected = (10.0 + 20.0 + 5.0 + 15.0) / 4.0; // = 12.5
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Assert.Equal(expected, result.Value, 1e-12);
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_output.WriteLine($"AVGPRICE 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, _) = Avgprice.Calculate(_data.Bars);
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var batchResult = Avgprice.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("AVGPRICE 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 = Avgprice.Batch(_data.Bars);
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var r2 = Avgprice.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("AVGPRICE determinism: PASSED");
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}
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// ═══════════════════════════════════════════════════════════════════════════
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// Skender.Stock.Indicators Validation — CandlePart.OHLC4
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// ═══════════════════════════════════════════════════════════════════════════
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// ── F) Skender OHLC4 batch validation ─────────────────────────────────────
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[Fact]
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public void Validate_Against_Skender_OHLC4_Batch()
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{
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var skenderResults = _data.SkenderQuotes
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.GetBaseQuote(CandlePart.OHLC4)
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.ToList();
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var qlResult = Avgprice.Batch(_data.Bars);
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Assert.Equal(qlResult.Count, skenderResults.Count);
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int count = qlResult.Count;
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int start = Math.Max(0, count - ValidationHelper.DefaultVerificationCount);
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for (int i = start; i < count; i++)
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{
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double qlVal = qlResult.Values[i];
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double skVal = skenderResults[i].Value;
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Assert.True(
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Math.Abs(qlVal - skVal) <= ValidationHelper.SkenderTolerance,
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$"Mismatch at index {i}: QuanTAlib={qlVal:G17}, Skender={skVal:G17}, Diff={Math.Abs(qlVal - skVal):G17}");
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}
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_output.WriteLine($"AVGPRICE vs Skender OHLC4 batch: {count} bars, last {count - start} verified within {ValidationHelper.SkenderTolerance}: PASSED");
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}
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// ── G) Skender OHLC4 streaming validation ─────────────────────────────────
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[Fact]
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public void Validate_Against_Skender_OHLC4_Streaming()
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{
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var skenderResults = _data.SkenderQuotes
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.GetBaseQuote(CandlePart.OHLC4)
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.ToList();
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var ind = new Avgprice();
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int count = _data.Bars.Count;
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double[] streamValues = new double[count];
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for (int i = 0; i < count; i++)
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{
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var result = ind.Update(_data.Bars[i], isNew: true);
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streamValues[i] = result.Value;
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}
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int start = Math.Max(0, count - ValidationHelper.DefaultVerificationCount);
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for (int i = start; i < count; i++)
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{
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double qlVal = streamValues[i];
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double skVal = skenderResults[i].Value;
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Assert.True(
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Math.Abs(qlVal - skVal) <= ValidationHelper.SkenderTolerance,
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$"Mismatch at index {i}: QuanTAlib={qlVal:G17}, Skender={skVal:G17}");
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}
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_output.WriteLine($"AVGPRICE streaming vs Skender OHLC4: {count} bars, last {count - start} verified: PASSED");
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}
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// ── H) Skender OHLC4 span validation ──────────────────────────────────────
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[Fact]
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[SkipLocalsInit]
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public void Validate_Against_Skender_OHLC4_Span()
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{
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var skenderResults = _data.SkenderQuotes
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.GetBaseQuote(CandlePart.OHLC4)
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.ToList();
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int count = _data.Bars.Count;
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double[] o = new double[count], h = new double[count], l = new double[count], c = new double[count];
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for (int i = 0; i < count; i++)
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{
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o[i] = _data.Bars[i].Open;
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h[i] = _data.Bars[i].High;
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l[i] = _data.Bars[i].Low;
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c[i] = _data.Bars[i].Close;
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}
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var qlOut = new double[count];
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Avgprice.Batch(o.AsSpan(), h.AsSpan(), l.AsSpan(), c.AsSpan(), qlOut.AsSpan());
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int start = Math.Max(0, count - ValidationHelper.DefaultVerificationCount);
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for (int i = start; i < count; i++)
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{
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double qlVal = qlOut[i];
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double skVal = skenderResults[i].Value;
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Assert.True(
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Math.Abs(qlVal - skVal) <= ValidationHelper.SkenderTolerance,
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$"Span mismatch at index {i}: QuanTAlib={qlVal:G17}, Skender={skVal:G17}");
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}
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_output.WriteLine($"AVGPRICE span vs Skender OHLC4: {count} bars, last {count - start} verified: PASSED");
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}
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}
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