Files
QuanTAlib/lib/oscillators/dpo/Dpo.Validation.Tests.cs
T
Miha Kralj 92709ef2ed Add Stochastic Oscillator implementation and validation tests
- Implemented Stochastic Oscillator (%K and %D) in Stoch.cs with streaming and batch processing capabilities.
- Added validation tests for the Stochastic Oscillator in Stoch.Validation.Tests.cs, ensuring consistency with Skender.Stock.Indicators.
- Created documentation for the Stochastic Oscillator in Stoch.md, detailing its mathematical formula, architecture, parameters, and common pitfalls.
- Updated project file to include necessary numeric libraries for highest and lowest calculations.
2026-02-12 14:29:54 -08:00

196 lines
6.2 KiB
C#

using System.Runtime.CompilerServices;
using Xunit;
using Xunit.Abstractions;
namespace QuanTAlib.Tests;
/// <summary>
/// Tulip NETCore uses a centered DPO formula: close[back] - SMA (backward-looking).
/// QuanTAlib uses the PineScript non-centered formula: close - SMA[back] (forward-looking).
/// These are fundamentally different algorithms producing different results,
/// so cross-library validation against Tulip is not applicable.
/// Instead, we validate against manual SMA computation and internal consistency.
/// </summary>
public sealed class DpoValidationTests(ITestOutputHelper output) : IDisposable
{
private readonly ValidationTestData _testData = new();
private readonly ITestOutputHelper _output = output;
private bool _disposed;
private const int TestPeriod = 20;
public void Dispose()
{
Dispose(disposing: true);
}
private void Dispose(bool disposing)
{
if (_disposed) { return; }
_disposed = true;
if (disposing) { _testData?.Dispose(); }
}
#region Manual SMA Cross-Validation
[Fact]
[SkipLocalsInit]
public void Validate_Against_Manual_SMA()
{
double[] values = _testData.RawData.ToArray();
int[] periods = [5, 10, 14, 20];
foreach (int period in periods)
{
int displacement = (period / 2) + 1;
int warmup = period + displacement;
double[] batchOutput = new double[values.Length];
Dpo.Batch(values.AsSpan(), batchOutput.AsSpan(), period);
int validCount = 0;
for (int i = warmup - 1; i < values.Length; i++)
{
// Compute displaced SMA: SMA from `displacement` bars ago
int anchor = i - displacement;
if (anchor < period - 1)
{
continue;
}
double dsum = 0.0;
for (int j = anchor - period + 1; j <= anchor; j++)
{
dsum += values[j];
}
double displacedSma = dsum / period;
double expectedDpo = values[i] - displacedSma;
double actualDpo = batchOutput[i];
Assert.True(Math.Abs(expectedDpo - actualDpo) < 1e-9,
$"DPO mismatch at i={i}, period={period}: expected={expectedDpo}, actual={actualDpo}, diff={Math.Abs(expectedDpo - actualDpo)}");
validCount++;
}
Assert.True(validCount > 0, $"No valid comparison points for period {period}");
_output.WriteLine($"DPO period={period}: validated {validCount} points against manual SMA.");
}
}
[Theory]
[InlineData(5)]
[InlineData(10)]
[InlineData(20)]
[InlineData(50)]
public void Validate_Manual_SMA_DifferentPeriods(int period)
{
double[] values = _testData.RawData.ToArray();
int displacement = (period / 2) + 1;
int warmup = period + displacement;
double[] batchOutput = new double[values.Length];
Dpo.Batch(values.AsSpan(), batchOutput.AsSpan(), period);
int validCount = 0;
for (int i = warmup - 1; i < values.Length; i++)
{
int anchor = i - displacement;
if (anchor < period - 1) { continue; }
double dsum = 0.0;
for (int j = anchor - period + 1; j <= anchor; j++)
{
dsum += values[j];
}
double displacedSma = dsum / period;
double expectedDpo = values[i] - displacedSma;
Assert.True(Math.Abs(expectedDpo - batchOutput[i]) < 1e-9,
$"DPO mismatch at i={i}, period={period}: expected={expectedDpo}, actual={batchOutput[i]}");
validCount++;
}
Assert.True(validCount > 0, $"No valid comparison points for period {period}");
_output.WriteLine($"DPO period={period}: validated {validCount} points.");
}
#endregion
#region Consistency Validation
[Fact]
[SkipLocalsInit]
public void Validate_Streaming_Batch_Span_Agree()
{
double[] tData = _testData.RawData.ToArray();
// Batch TSeries
TSeries batchSeries = Dpo.Batch(_testData.Data, TestPeriod);
// Batch Span
var spanOutput = new double[tData.Length];
Dpo.Batch(tData.AsSpan(), spanOutput.AsSpan(), TestPeriod);
// Batch and Span should be identical (same code path)
for (int i = 0; i < tData.Length; i++)
{
Assert.Equal(batchSeries.Values[i], spanOutput[i], 12);
}
// Streaming
var dpo = new Dpo(TestPeriod);
var streamResults = new double[tData.Length];
for (int i = 0; i < tData.Length; i++)
{
streamResults[i] = dpo.Update(_testData.Data[i]).Value;
}
// Streaming vs Batch: may have minor drift from RingBuffer.Sum maintenance
int warmup = TestPeriod + (TestPeriod / 2) + 1;
int count = tData.Length;
int start = Math.Max(warmup, count - ValidationHelper.DefaultVerificationCount);
for (int i = start; i < count; i++)
{
Assert.Equal(streamResults[i], batchSeries.Values[i], 4);
}
_output.WriteLine("DPO streaming/batch/span agreement verified.");
}
[Fact]
[SkipLocalsInit]
public void Validate_Event_Matches_Streaming()
{
// Streaming
var streamDpo = new Dpo(TestPeriod);
var streamResults = new double[_testData.Data.Count];
for (int i = 0; i < _testData.Data.Count; i++)
{
streamResults[i] = streamDpo.Update(_testData.Data[i]).Value;
}
// Event-based
var eventSource = new TSeries();
var eventDpo = new Dpo(eventSource, TestPeriod);
var eventResults = new double[_testData.Data.Count];
for (int i = 0; i < _testData.Data.Count; i++)
{
eventSource.Add(_testData.Data[i]);
eventResults[i] = eventDpo.Last.Value;
}
for (int i = 0; i < _testData.Data.Count; i++)
{
Assert.Equal(streamResults[i], eventResults[i], 12);
}
_output.WriteLine("DPO event-based matches streaming.");
}
#endregion
}