mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-16 01:28:05 +00:00
- 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.
196 lines
6.2 KiB
C#
196 lines
6.2 KiB
C#
using System.Runtime.CompilerServices;
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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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/// Tulip NETCore uses a centered DPO formula: close[back] - SMA (backward-looking).
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/// QuanTAlib uses the PineScript non-centered formula: close - SMA[back] (forward-looking).
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/// These are fundamentally different algorithms producing different results,
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/// so cross-library validation against Tulip is not applicable.
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/// Instead, we validate against manual SMA computation and internal consistency.
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/// </summary>
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public sealed class DpoValidationTests(ITestOutputHelper output) : IDisposable
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{
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private readonly ValidationTestData _testData = new();
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private readonly ITestOutputHelper _output = output;
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private bool _disposed;
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private const int TestPeriod = 20;
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public void Dispose()
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{
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Dispose(disposing: true);
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}
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private void Dispose(bool disposing)
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{
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if (_disposed) { return; }
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_disposed = true;
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if (disposing) { _testData?.Dispose(); }
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}
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#region Manual SMA Cross-Validation
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[Fact]
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[SkipLocalsInit]
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public void Validate_Against_Manual_SMA()
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{
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double[] values = _testData.RawData.ToArray();
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int[] periods = [5, 10, 14, 20];
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foreach (int period in periods)
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{
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int displacement = (period / 2) + 1;
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int warmup = period + displacement;
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double[] batchOutput = new double[values.Length];
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Dpo.Batch(values.AsSpan(), batchOutput.AsSpan(), period);
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int validCount = 0;
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for (int i = warmup - 1; i < values.Length; i++)
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{
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// Compute displaced SMA: SMA from `displacement` bars ago
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int anchor = i - displacement;
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if (anchor < period - 1)
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{
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continue;
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}
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double dsum = 0.0;
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for (int j = anchor - period + 1; j <= anchor; j++)
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{
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dsum += values[j];
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}
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double displacedSma = dsum / period;
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double expectedDpo = values[i] - displacedSma;
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double actualDpo = batchOutput[i];
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Assert.True(Math.Abs(expectedDpo - actualDpo) < 1e-9,
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$"DPO mismatch at i={i}, period={period}: expected={expectedDpo}, actual={actualDpo}, diff={Math.Abs(expectedDpo - actualDpo)}");
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validCount++;
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}
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Assert.True(validCount > 0, $"No valid comparison points for period {period}");
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_output.WriteLine($"DPO period={period}: validated {validCount} points against manual SMA.");
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}
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}
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[Theory]
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[InlineData(5)]
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[InlineData(10)]
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[InlineData(20)]
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[InlineData(50)]
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public void Validate_Manual_SMA_DifferentPeriods(int period)
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{
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double[] values = _testData.RawData.ToArray();
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int displacement = (period / 2) + 1;
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int warmup = period + displacement;
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double[] batchOutput = new double[values.Length];
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Dpo.Batch(values.AsSpan(), batchOutput.AsSpan(), period);
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int validCount = 0;
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for (int i = warmup - 1; i < values.Length; i++)
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{
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int anchor = i - displacement;
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if (anchor < period - 1) { continue; }
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double dsum = 0.0;
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for (int j = anchor - period + 1; j <= anchor; j++)
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{
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dsum += values[j];
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}
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double displacedSma = dsum / period;
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double expectedDpo = values[i] - displacedSma;
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Assert.True(Math.Abs(expectedDpo - batchOutput[i]) < 1e-9,
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$"DPO mismatch at i={i}, period={period}: expected={expectedDpo}, actual={batchOutput[i]}");
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validCount++;
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}
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Assert.True(validCount > 0, $"No valid comparison points for period {period}");
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_output.WriteLine($"DPO period={period}: validated {validCount} points.");
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}
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#endregion
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#region Consistency Validation
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[Fact]
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[SkipLocalsInit]
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public void Validate_Streaming_Batch_Span_Agree()
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{
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double[] tData = _testData.RawData.ToArray();
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// Batch TSeries
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TSeries batchSeries = Dpo.Batch(_testData.Data, TestPeriod);
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// Batch Span
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var spanOutput = new double[tData.Length];
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Dpo.Batch(tData.AsSpan(), spanOutput.AsSpan(), TestPeriod);
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// Batch and Span should be identical (same code path)
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for (int i = 0; i < tData.Length; i++)
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{
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Assert.Equal(batchSeries.Values[i], spanOutput[i], 12);
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}
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// Streaming
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var dpo = new Dpo(TestPeriod);
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var streamResults = new double[tData.Length];
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for (int i = 0; i < tData.Length; i++)
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{
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streamResults[i] = dpo.Update(_testData.Data[i]).Value;
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}
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// Streaming vs Batch: may have minor drift from RingBuffer.Sum maintenance
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int warmup = TestPeriod + (TestPeriod / 2) + 1;
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int count = tData.Length;
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int start = Math.Max(warmup, count - ValidationHelper.DefaultVerificationCount);
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for (int i = start; i < count; i++)
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{
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Assert.Equal(streamResults[i], batchSeries.Values[i], 4);
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}
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_output.WriteLine("DPO streaming/batch/span agreement verified.");
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}
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[Fact]
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[SkipLocalsInit]
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public void Validate_Event_Matches_Streaming()
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{
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// Streaming
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var streamDpo = new Dpo(TestPeriod);
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var streamResults = new double[_testData.Data.Count];
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for (int i = 0; i < _testData.Data.Count; i++)
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{
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streamResults[i] = streamDpo.Update(_testData.Data[i]).Value;
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}
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// Event-based
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var eventSource = new TSeries();
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var eventDpo = new Dpo(eventSource, TestPeriod);
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var eventResults = new double[_testData.Data.Count];
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for (int i = 0; i < _testData.Data.Count; i++)
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{
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eventSource.Add(_testData.Data[i]);
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eventResults[i] = eventDpo.Last.Value;
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}
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for (int i = 0; i < _testData.Data.Count; i++)
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{
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Assert.Equal(streamResults[i], eventResults[i], 12);
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}
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_output.WriteLine("DPO event-based matches streaming.");
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}
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#endregion
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}
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