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SIMD Refactor: Merge simd-dev into dev (#55)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat> Co-authored-by: Warp <agent@warp.dev>
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co-authored by
Claude Opus 4.5
aider
Warp
parent
5bcdf8d614
commit
86fe32a682
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using Skender.Stock.Indicators;
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using TALib;
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using OoplesFinance.StockIndicators;
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using OoplesFinance.StockIndicators.Models;
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using OoplesFinance.StockIndicators.Enums;
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using QuanTAlib.Tests;
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namespace QuanTAlib;
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public sealed class AdxValidationTests : IDisposable
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{
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private readonly ValidationTestData _data;
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public AdxValidationTests()
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{
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_data = new ValidationTestData();
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}
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public void Dispose()
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{
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_data.Dispose();
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}
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[Fact]
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public void MatchesSkender()
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{
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var adx = new Adx(14);
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var results = new List<double>();
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for (int i = 0; i < _data.Bars.Count; i++)
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{
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var res = adx.Update(_data.Bars[i]);
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results.Add(res.Value);
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}
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var skenderResults = _data.SkenderQuotes.GetAdx(14).ToList();
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ValidationHelper.VerifyData(results, skenderResults, x => x.Adx);
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}
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[Fact]
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public void MatchesTalib()
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{
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var adx = new Adx(14);
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var results = new List<double>();
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for (int i = 0; i < _data.Bars.Count; i++)
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{
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var res = adx.Update(_data.Bars[i]);
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results.Add(res.Value);
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}
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double[] hData = _data.Bars.High.Select(x => x.Value).ToArray();
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double[] lData = _data.Bars.Low.Select(x => x.Value).ToArray();
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double[] cData = _data.Bars.Close.Select(x => x.Value).ToArray();
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double[] outReal = new double[_data.Bars.Count];
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var retCode = Functions.Adx(hData, lData, cData, 0..^0, outReal, out var outRange, 14);
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Assert.Equal(Core.RetCode.Success, retCode);
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int lookback = Functions.AdxLookback(14);
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ValidationHelper.VerifyData(results, outReal, outRange, lookback);
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}
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[Fact]
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public void MatchesTulip()
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{
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var adx = new Adx(14);
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var results = new List<double>();
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for (int i = 0; i < _data.Bars.Count; i++)
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{
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var res = adx.Update(_data.Bars[i]);
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results.Add(res.Value);
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}
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double[] hData = _data.Bars.High.Select(x => x.Value).ToArray();
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double[] lData = _data.Bars.Low.Select(x => x.Value).ToArray();
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double[] cData = _data.Bars.Close.Select(x => x.Value).ToArray();
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double[][] inputs = { hData, lData, cData };
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double[] options = { 14 };
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var adxInd = Tulip.Indicators.adx;
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double[][] outputs = { new double[hData.Length - adxInd.Start(options)] };
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adxInd.Run(inputs, options, outputs);
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double[] tulipResults = outputs[0];
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// Tulip initializes differently, so we skip the warmup period to verify convergence
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// We must use the correct offset (lookback) to align the data series
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int offset = adxInd.Start(options);
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ValidationHelper.VerifyData(results, tulipResults, lookback: offset);
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}
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[Fact]
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public void MatchesOoples()
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{
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var adx = new Adx(14);
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var results = new List<double>();
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for (int i = 0; i < _data.Bars.Count; i++)
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{
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var res = adx.Update(_data.Bars[i]);
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results.Add(res.Value);
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}
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var ooplesData = _data.SkenderQuotes.Select(q => new TickerData
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{
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Date = q.Date,
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Open = (double)q.Open,
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High = (double)q.High,
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Low = (double)q.Low,
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Close = (double)q.Close,
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Volume = (double)q.Volume
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}).ToList();
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var stockData = new StockData(ooplesData);
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var adxResults = stockData.CalculateAverageDirectionalIndex(MovingAvgType.WildersSmoothingMethod, 14);
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var ooplesResults = adxResults.OutputValues["Adx"].ToArray();
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// Ooples uses 0-initialization for WWMA, which takes a long time to converge.
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// We verify only the last 100 bars of the 5000-bar dataset.
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// Note: Ooples returns full-length array, so lookback is 0.
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ValidationHelper.VerifyData(results, ooplesResults, lookback: 0, skip: 100, tolerance: ValidationHelper.OoplesTolerance);
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}
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}
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