mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-31 10:57:43 +00:00
6f0a339c9b
- Sar.Quantower.Tests.cs: add missing opening quote on string literal (line 48) - Exports.cs: rename Correlation.Batch → Correl.Batch (CS0103) - Ad.Validation.Tests.cs: fix Ooples OutputValues key "Ad" → "Adl"
351 lines
12 KiB
C#
351 lines
12 KiB
C#
using Skender.Stock.Indicators;
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using Xunit.Abstractions;
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using OoplesFinance.StockIndicators;
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using OoplesFinance.StockIndicators.Models;
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namespace QuanTAlib.Tests;
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public sealed class DcValidationTests : IDisposable
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{
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private readonly ValidationTestData _testData;
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private readonly ITestOutputHelper _output;
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private bool _disposed;
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public DcValidationTests(ITestOutputHelper output)
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{
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_output = output;
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_testData = new ValidationTestData();
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}
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public void Dispose() => Dispose(true);
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private void Dispose(bool disposing)
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{
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if (_disposed)
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{
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return;
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}
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_disposed = true;
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if (disposing)
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{
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_testData?.Dispose();
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}
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}
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[Fact]
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public void Validate_ManualCalculation_Period3()
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{
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var series = new TBarSeries();
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var t0 = DateTime.UtcNow;
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series.Add(new TBar(t0, 0, 12, 8, 10, 100));
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series.Add(new TBar(t0.AddMinutes(1), 0, 14, 10, 12, 100));
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series.Add(new TBar(t0.AddMinutes(2), 0, 16, 12, 14, 100));
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var ind = new Dc(3);
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var (mid, up, lo) = ind.Update(series);
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Assert.Equal(16.0, up.Last.Value, 1e-10);
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Assert.Equal(8.0, lo.Last.Value, 1e-10);
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Assert.Equal(12.0, mid.Last.Value, 1e-10);
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Assert.True(ind.IsHot);
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_output.WriteLine("Dc manual period-3 calculation validated");
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}
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[Fact]
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public void Validate_AllModes_Consistency()
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{
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int[] periods = { 5, 10, 20, 50 };
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foreach (int period in periods)
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{
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// Batch (instance)
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var inst = new Dc(period);
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var (bMid, bUp, bLo) = inst.Update(_testData.Bars);
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// Static batch
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var (sMid, sUp, sLo) = Dc.Batch(_testData.Bars, period);
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ValidationHelper.VerifySeriesEqual(bMid, sMid);
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ValidationHelper.VerifySeriesEqual(bUp, sUp);
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ValidationHelper.VerifySeriesEqual(bLo, sLo);
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// Streaming
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var streaming = new Dc(period);
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var sMidStream = new TSeries();
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var sUpStream = new TSeries();
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var sLoStream = new TSeries();
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foreach (var bar in _testData.Bars)
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{
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streaming.Update(bar);
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sMidStream.Add(streaming.Last);
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sUpStream.Add(streaming.Upper);
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sLoStream.Add(streaming.Lower);
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}
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ValidationHelper.VerifySeriesEqual(sMid, sMidStream);
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ValidationHelper.VerifySeriesEqual(sUp, sUpStream);
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ValidationHelper.VerifySeriesEqual(sLo, sLoStream);
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// Span
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double[] high = _testData.HighPrices.ToArray();
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double[] low = _testData.LowPrices.ToArray();
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double[] spanMid = new double[high.Length];
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double[] spanUp = new double[high.Length];
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double[] spanLo = new double[high.Length];
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Dc.Batch(high.AsSpan(), low.AsSpan(),
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spanMid.AsSpan(), spanUp.AsSpan(), spanLo.AsSpan(), period);
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for (int i = 0; i < high.Length; i++)
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{
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Assert.Equal(sMid[i].Value, spanMid[i], 9);
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Assert.Equal(sUp[i].Value, spanUp[i], 9);
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Assert.Equal(sLo[i].Value, spanLo[i], 9);
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}
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}
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_output.WriteLine("Dc mode consistency validated (batch/stream/span)");
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}
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[Fact]
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public void Validate_EventingMode_MatchesBatch()
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{
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const int period = 20;
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var pub = new TBarSeries();
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var evtInd = new Dc(pub, period);
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var evtMid = new TSeries();
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var evtUp = new TSeries();
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var evtLo = new TSeries();
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foreach (var bar in _testData.Bars)
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{
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pub.Add(bar);
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evtMid.Add(evtInd.Last);
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evtUp.Add(evtInd.Upper);
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evtLo.Add(evtInd.Lower);
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}
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var (bMid, bUp, bLo) = Dc.Batch(_testData.Bars, period);
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ValidationHelper.VerifySeriesEqual(bMid, evtMid);
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ValidationHelper.VerifySeriesEqual(bUp, evtUp);
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ValidationHelper.VerifySeriesEqual(bLo, evtLo);
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_output.WriteLine("Dc eventing mode validated");
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}
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[Fact]
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public void Validate_Calculate_ReturnsHotIndicator()
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{
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const int period = 15;
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var ((mid, up, lo), ind) = Dc.Calculate(_testData.Bars, period);
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Assert.True(ind.IsHot);
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Assert.Equal(period, ind.WarmupPeriod);
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Assert.Equal(mid.Last.Value, ind.Last.Value, 1e-10);
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Assert.Equal(up.Last.Value, ind.Upper.Value, 1e-10);
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Assert.Equal(lo.Last.Value, ind.Lower.Value, 1e-10);
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// Continue streaming
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var next = new TBar(DateTime.UtcNow, 0, 150, 50, 100, 1000);
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ind.Update(next);
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Assert.True(ind.IsHot);
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_output.WriteLine("Dc Calculate validated");
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}
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[Fact]
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public void Validate_Prime_MatchesBatch()
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{
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const int period = 25;
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var (bMid, bUp, bLo) = Dc.Batch(_testData.Bars, period);
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var primed = new Dc(period);
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var subset = new TBarSeries();
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for (int i = 0; i < 200; i++)
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{
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subset.Add(_testData.Bars[i]);
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}
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primed.Prime(subset);
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for (int i = 200; i < _testData.Bars.Count; i++)
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{
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primed.Update(_testData.Bars[i]);
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}
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Assert.Equal(bMid.Last.Value, primed.Last.Value, 1e-9);
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Assert.Equal(bUp.Last.Value, primed.Upper.Value, 1e-9);
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Assert.Equal(bLo.Last.Value, primed.Lower.Value, 1e-9);
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_output.WriteLine("Dc Prime validated against batch");
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}
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[Fact]
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public void Validate_LargeDataset_FiniteOutputs()
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{
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var (mid, up, lo) = Dc.Batch(_testData.Bars, 50);
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ValidationHelper.VerifyAllFinite(mid, startIndex: 0);
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ValidationHelper.VerifyAllFinite(up, startIndex: 0);
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ValidationHelper.VerifyAllFinite(lo, startIndex: 0);
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for (int i = 50; i < mid.Count; i++)
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{
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Assert.True(up[i].Value >= lo[i].Value, $"Upper >= Lower at {i}");
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}
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_output.WriteLine("Dc large dataset validated");
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}
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[Fact]
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public void Validate_Skender_Batch_UpperBand()
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{
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// Convention difference: Skender Donchian uses prior N bars [i-N, i-1] (excludes current bar)
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// QuanTAlib Dc uses inclusive N bars [i-N+1, i] (includes current bar).
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// Therefore: QuanTAlib[i] should match Skender[i+1] for converged values.
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int[] periods = { 5, 10, 20, 50, 100 };
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foreach (var period in periods)
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{
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var (_, qUp, _) = Dc.Batch(_testData.Bars, period);
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var sResult = _testData.SkenderQuotes.GetDonchian(period).ToList();
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int count = Math.Min(qUp.Count, sResult.Count);
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int start = Math.Max(period + 1, count - 100);
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for (int i = start; i < count - 1; i++)
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{
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double qValue = qUp[i].Value;
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double? sValue = (double?)sResult[i + 1].UpperBand;
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if (!sValue.HasValue)
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{
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continue;
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}
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Assert.True(
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Math.Abs(qValue - sValue.Value) <= ValidationHelper.SkenderTolerance,
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$"Period={period}, Mismatch at q[{i}] vs s[{i + 1}]: QuanTAlib={qValue:G17}, Skender={sValue.Value:G17}");
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}
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}
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_output.WriteLine("Dc upper band validated against Skender GetDonchian (offset +1)");
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}
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[Fact]
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public void Validate_Skender_Batch_LowerBand()
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{
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// Same offset convention: QuanTAlib[i] == Skender[i+1]
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int[] periods = { 5, 10, 20, 50, 100 };
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foreach (var period in periods)
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{
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var (_, _, qLo) = Dc.Batch(_testData.Bars, period);
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var sResult = _testData.SkenderQuotes.GetDonchian(period).ToList();
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int count = Math.Min(qLo.Count, sResult.Count);
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int start = Math.Max(period + 1, count - 100);
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for (int i = start; i < count - 1; i++)
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{
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double qValue = qLo[i].Value;
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double? sValue = (double?)sResult[i + 1].LowerBand;
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if (!sValue.HasValue)
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{
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continue;
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}
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Assert.True(
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Math.Abs(qValue - sValue.Value) <= ValidationHelper.SkenderTolerance,
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$"Period={period}, Mismatch at q[{i}] vs s[{i + 1}]: QuanTAlib={qValue:G17}, Skender={sValue.Value:G17}");
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}
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}
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_output.WriteLine("Dc lower band validated against Skender GetDonchian (offset +1)");
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}
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[Fact]
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public void Validate_Skender_Batch_Centerline()
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{
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// Same offset convention: QuanTAlib[i] == Skender[i+1]
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int[] periods = { 5, 10, 20, 50, 100 };
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foreach (var period in periods)
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{
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var (qMid, _, _) = Dc.Batch(_testData.Bars, period);
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var sResult = _testData.SkenderQuotes.GetDonchian(period).ToList();
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int count = Math.Min(qMid.Count, sResult.Count);
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int start = Math.Max(period + 1, count - 100);
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for (int i = start; i < count - 1; i++)
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{
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double qValue = qMid[i].Value;
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double? sValue = (double?)sResult[i + 1].Centerline;
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if (!sValue.HasValue)
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{
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continue;
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}
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Assert.True(
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Math.Abs(qValue - sValue.Value) <= ValidationHelper.SkenderTolerance,
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$"Period={period}, Mismatch at q[{i}] vs s[{i + 1}]: QuanTAlib={qValue:G17}, Skender={sValue.Value:G17}");
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}
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}
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_output.WriteLine("Dc centerline validated against Skender GetDonchian (offset +1)");
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}
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[Fact]
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public void Validate_Skender_Streaming_UpperBand()
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{
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// Same offset convention: QuanTAlib[i] == Skender[i+1]
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int[] periods = { 10, 20, 50 };
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foreach (var period in periods)
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{
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var dc = new Dc(period);
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var qUpResults = new TSeries();
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foreach (var bar in _testData.Bars)
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{
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dc.Update(bar);
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qUpResults.Add(dc.Upper);
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}
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var sResult = _testData.SkenderQuotes.GetDonchian(period).ToList();
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int count = Math.Min(qUpResults.Count, sResult.Count);
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int start = Math.Max(period + 1, count - 100);
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for (int i = start; i < count - 1; i++)
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{
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double qValue = qUpResults[i].Value;
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double? sValue = (double?)sResult[i + 1].UpperBand;
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if (!sValue.HasValue)
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{
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continue;
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}
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Assert.True(
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Math.Abs(qValue - sValue.Value) <= ValidationHelper.SkenderTolerance,
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$"Period={period}, Mismatch at q[{i}] vs s[{i + 1}]: QuanTAlib={qValue:G17}, Skender={sValue.Value:G17}");
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}
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}
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_output.WriteLine("Dc streaming upper band validated against Skender GetDonchian (offset +1)");
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}
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[Fact]
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public void Dc_MatchesOoples_Structural()
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{
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var gbm = new GBM(startPrice: 100.0, mu: 0.02, sigma: 0.15, seed: 42);
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var bars = gbm.Fetch(500, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
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var ooplesData = bars.Select(b => new TickerData
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{
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Date = new DateTime(b.Time, DateTimeKind.Utc),
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Open = b.Open, High = b.High, Low = b.Low,
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Close = b.Close, Volume = b.Volume
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}).ToList();
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var result = new StockData(ooplesData).CalculateDonchianChannels();
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var values = result.OutputValues.Values.First();
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int finiteCount = values.Count(v => double.IsFinite(v));
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Assert.True(finiteCount > 100, $"Expected >100 finite values, got {finiteCount}");
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}
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}
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