Files
Miha Kralj 060649192f docs: remove C# Implementation Considerations sections, clean up temp scripts, reorganize test files
- Remove 'C# Implementation Considerations' sections from 34 indicator .md files
- Delete 29 temp PowerShell scripts (_fix_mojibake.ps1, _hex_scan.ps1, etc.)
- Move test files into tests/ subdirectories for consistent project structure
- Add trader-focused bullet points to indicator documentation
2026-03-12 12:34:16 -07:00

175 lines
6.0 KiB
C#

using Xunit;
using Xunit.Abstractions;
namespace QuanTAlib.Tests;
public sealed class DoscValidationTests : IDisposable
{
private readonly ITestOutputHelper _output;
private readonly ValidationTestData _testData;
private const int DefaultRsi = 14;
private const int DefaultEma1 = 5;
private const int DefaultEma2 = 3;
private const int DefaultSig = 9;
public DoscValidationTests(ITestOutputHelper output)
{
_output = output;
_testData = new ValidationTestData(10000);
}
public void Dispose()
{
_testData.Dispose();
}
// ========== Self-consistency Validation ==========
[Fact]
public void Dosc_BatchStreaming_Match()
{
var streaming = new Dosc(DefaultRsi, DefaultEma1, DefaultEma2, DefaultSig);
var streamResults = new List<double>(_testData.Data.Count);
for (int i = 0; i < _testData.Data.Count; i++)
{
TValue r = streaming.Update(_testData.Data[i], isNew: true);
streamResults.Add(r.Value);
}
TSeries batchResults = Dosc.Batch(_testData.Data, DefaultRsi, DefaultEma1, DefaultEma2, DefaultSig);
int mismatchCount = 0;
double maxDiff = 0;
for (int i = 0; i < streamResults.Count; i++)
{
double diff = Math.Abs(streamResults[i] - batchResults[i].Value);
if (diff > 1e-10)
{
mismatchCount++;
maxDiff = Math.Max(maxDiff, diff);
}
}
_output.WriteLine($"Dosc({DefaultRsi},{DefaultEma1},{DefaultEma2},{DefaultSig}) Batch vs Streaming: {mismatchCount} mismatches, max diff = {maxDiff:E3}");
Assert.Equal(0, mismatchCount);
}
[Fact]
public void Dosc_SpanBatch_MatchesStreaming()
{
var streaming = new Dosc(DefaultRsi, DefaultEma1, DefaultEma2, DefaultSig);
var streamResults = new List<double>(_testData.Data.Count);
for (int i = 0; i < _testData.Data.Count; i++)
{
TValue r = streaming.Update(_testData.Data[i], isNew: true);
streamResults.Add(r.Value);
}
double[] output = new double[_testData.Data.Count];
Dosc.Batch(_testData.Data.Values, output, DefaultRsi, DefaultEma1, DefaultEma2, DefaultSig);
int mismatchCount = 0;
double maxDiff = 0;
for (int i = 0; i < streamResults.Count; i++)
{
double diff = Math.Abs(streamResults[i] - output[i]);
if (diff > 1e-10)
{
mismatchCount++;
maxDiff = Math.Max(maxDiff, diff);
}
}
_output.WriteLine($"Dosc({DefaultRsi},{DefaultEma1},{DefaultEma2},{DefaultSig}) Span vs Streaming: {mismatchCount} mismatches, max diff = {maxDiff:E3}");
Assert.Equal(0, mismatchCount);
}
[Fact]
public void Dosc_DifferentParams_ProduceDifferentResults()
{
TSeries result1 = Dosc.Batch(_testData.Data, rsiPeriod: 7, ema1Period: 3, ema2Period: 2, sigPeriod: 5);
TSeries result2 = Dosc.Batch(_testData.Data, rsiPeriod: 14, ema1Period: 5, ema2Period: 3, sigPeriod: 9);
int lastIdx = _testData.Data.Count - 1;
_output.WriteLine($"Dosc(7,3,2,5) last = {result1[lastIdx].Value:F6}");
_output.WriteLine($"Dosc(14,5,3,9) last = {result2[lastIdx].Value:F6}");
Assert.NotEqual(result1[lastIdx].Value, result2[lastIdx].Value);
}
[Fact]
public void Dosc_ConstantInput_ConvergesToZero()
{
var indicator = new Dosc(rsiPeriod: 5, ema1Period: 3, ema2Period: 2, sigPeriod: 5);
double constantVal = 100.0;
double lastResult = double.NaN;
for (int i = 0; i < 1000; i++)
{
TValue r = indicator.Update(new TValue(DateTime.UtcNow.AddSeconds(i), constantVal));
lastResult = r.Value;
}
_output.WriteLine($"Dosc(5,3,2,5) constant input result after 1000 bars: {lastResult:E6}");
Assert.True(Math.Abs(lastResult) < 1e-6, $"Expected near-zero for constant input, got {lastResult}");
}
[Fact]
public void Dosc_Calculate_ReturnsHotIndicator()
{
(TSeries results, Dosc indicator) = Dosc.Calculate(_testData.Data, DefaultRsi, DefaultEma1, DefaultEma2, DefaultSig);
Assert.Equal(_testData.Data.Count, results.Count);
Assert.True(indicator.IsHot);
TValue next = indicator.Update(new TValue(DateTime.UtcNow, 100.0), isNew: true);
Assert.True(double.IsFinite(next.Value));
_output.WriteLine($"Dosc Calculate: {results.Count} bars, last = {results[results.Count - 1].Value:F6}");
}
[Fact]
public void Dosc_BarCorrection_ProducesConsistentResults()
{
var reference = new Dosc(DefaultRsi, DefaultEma1, DefaultEma2, DefaultSig);
for (int i = 0; i < 100; i++)
{
reference.Update(_testData.Data[i], isNew: true);
}
reference.Update(new TValue(DateTime.UtcNow, 50.0), isNew: true);
double referenceVal = reference.Last.Value;
var test = new Dosc(DefaultRsi, DefaultEma1, DefaultEma2, DefaultSig);
for (int i = 0; i < 100; i++)
{
test.Update(_testData.Data[i], isNew: true);
}
test.Update(new TValue(DateTime.UtcNow, 999.0), isNew: true); // wrong
test.Update(new TValue(DateTime.UtcNow, 50.0), isNew: false); // correct
double testVal = test.Last.Value;
_output.WriteLine($"Reference: {referenceVal:F10}, Corrected: {testVal:F10}");
Assert.Equal(referenceVal, testVal, 1e-10);
}
[Fact]
public void Dosc_SubsetValidation_StableBehavior()
{
using var subset = _testData.CreateSubset(200);
TSeries results = Dosc.Batch(subset.Data, DefaultRsi, DefaultEma1, DefaultEma2, DefaultSig);
int nanCount = 0;
for (int i = 0; i < results.Count; i++)
{
if (!double.IsFinite(results[i].Value))
{
nanCount++;
}
}
_output.WriteLine($"Dosc on 200-bar subset: {nanCount} non-finite values");
Assert.Equal(0, nanCount);
}
}