Files
Miha Kralj 6f0a339c9b fix: resolve build and test errors
- 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"
2026-03-16 12:45:13 -07:00

351 lines
12 KiB
C#

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