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Refactor validation tests for various indicators to utilize shared test data structure

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This commit is contained in:
Miha Kralj
2025-12-12 13:47:57 -08:00
parent e6033638ad
commit cea3e0c46d
29 changed files with 1167 additions and 1804 deletions
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lib/trends/ema/Ema.Validation.Tests.cs
+63 -204
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@@ -1,6 +1,8 @@
using System;
using System.Collections.Generic;
using System.Linq;
using OoplesFinance.StockIndicators;
using OoplesFinance.StockIndicators.Models;
using Skender.Stock.Indicators;
using TALib;
using Tulip;
@@ -8,37 +10,28 @@ using Xunit.Abstractions;
namespace QuanTAlib.Tests;
public class EmaValidationTests
public class EmaValidationTests : IDisposable
{
private readonly TBarSeries _bars;
private readonly TSeries _data;
private readonly List<Quote> _skenderQuotes;
private readonly ValidationTestData _testData;
private readonly ITestOutputHelper _output;
public EmaValidationTests(ITestOutputHelper output)
{
_output = output;
_testData = new ValidationTestData();
}
// 1. Generate 5000 records using GBM feed
var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2);
_bars = gbm.Fetch(5000, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
public void Dispose()
{
Dispose(true);
GC.SuppressFinalize(this);
}
// 2. Extract Close TSeries
_data = _bars.Close;
// 3. Prepare data for Skender (List<Quote>)
_skenderQuotes = new List<Quote>();
for (int i = 0; i < _bars.Count; i++)
protected virtual void Dispose(bool disposing)
{
if (disposing)
{
_skenderQuotes.Add(new Quote
{
Date = new DateTime(_bars.Open.Times[i], DateTimeKind.Utc),
Open = (decimal)_bars.Open[i].Value,
High = (decimal)_bars.High[i].Value,
Low = (decimal)_bars.Low[i].Value,
Close = (decimal)_bars.Close[i].Value,
Volume = (decimal)_bars.Volume[i].Value
});
_testData.Dispose();
}
}
@@ -51,13 +44,13 @@ public class EmaValidationTests
{
// Calculate QuanTAlib EMA (batch TSeries)
var ema = new global::QuanTAlib.Ema(period);
var qResult = ema.Update(_data);
var qResult = ema.Update(_testData.Data);
// Calculate Skender EMA
var sResult = _skenderQuotes.GetEma(period).ToList();
var sResult = _testData.SkenderQuotes.GetEma(period).ToList();
// Compare last 100 records
VerifyData_Skender(qResult, sResult);
ValidationHelper.VerifyData(qResult, sResult, (s) => s.Ema);
}
_output.WriteLine("EMA Batch(TSeries) validated successfully against Skender");
}
@@ -72,16 +65,16 @@ public class EmaValidationTests
// Calculate QuanTAlib EMA (streaming)
var ema = new global::QuanTAlib.Ema(period);
var qResults = new List<double>();
foreach (var item in _data)
foreach (var item in _testData.Data)
{
qResults.Add(ema.Update(item).Value);
}
// Calculate Skender EMA
var sResult = _skenderQuotes.GetEma(period).ToList();
var sResult = _testData.SkenderQuotes.GetEma(period).ToList();
// Compare last 100 records
VerifyData_Skender_Streaming(qResults, sResult);
ValidationHelper.VerifyData(qResults, sResult, (s) => s.Ema);
}
_output.WriteLine("EMA Streaming validated successfully against Skender");
}
@@ -92,7 +85,7 @@ public class EmaValidationTests
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for Span API
double[] sourceData = _data.Select(x => x.Value).ToArray();
double[] sourceData = _testData.RawData.ToArray();
foreach (var period in periods)
{
@@ -101,10 +94,10 @@ public class EmaValidationTests
global::QuanTAlib.Ema.Calculate(sourceData.AsSpan(), qOutput.AsSpan(), period);
// Calculate Skender EMA
var sResult = _skenderQuotes.GetEma(period).ToList();
var sResult = _testData.SkenderQuotes.GetEma(period).ToList();
// Compare last 100 records
VerifyData_Skender_Span(qOutput, sResult);
ValidationHelper.VerifyData(qOutput, sResult, (s) => s.Ema);
}
_output.WriteLine("EMA Span validated successfully against Skender");
}
@@ -115,14 +108,14 @@ public class EmaValidationTests
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for TA-Lib (double[])
double[] tData = _data.Select(x => x.Value).ToArray();
double[] tData = _testData.RawData.ToArray();
double[] output = new double[tData.Length];
foreach (var period in periods)
{
// Calculate QuanTAlib EMA (batch TSeries)
var ema = new global::QuanTAlib.Ema(period);
var qResult = ema.Update(_data);
var qResult = ema.Update(_testData.Data);
// Calculate TA-Lib EMA
var retCode = TALib.Functions.Ema<double>(tData, 0..^0, output, out var outRange, period);
@@ -131,7 +124,7 @@ public class EmaValidationTests
int lookback = TALib.Functions.EmaLookback(period);
// Compare last 100 records
VerifyData_Talib(qResult, output, outRange, lookback);
ValidationHelper.VerifyData(qResult, output, outRange, lookback);
}
_output.WriteLine("EMA Batch(TSeries) validated successfully against TA-Lib");
}
@@ -142,7 +135,7 @@ public class EmaValidationTests
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for TA-Lib (double[])
double[] tData = _data.Select(x => x.Value).ToArray();
double[] tData = _testData.RawData.ToArray();
double[] output = new double[tData.Length];
foreach (var period in periods)
@@ -150,7 +143,7 @@ public class EmaValidationTests
// Calculate QuanTAlib EMA (streaming)
var ema = new global::QuanTAlib.Ema(period);
var qResults = new List<double>();
foreach (var item in _data)
foreach (var item in _testData.Data)
{
qResults.Add(ema.Update(item).Value);
}
@@ -162,7 +155,7 @@ public class EmaValidationTests
int lookback = TALib.Functions.EmaLookback(period);
// Compare last 100 records
VerifyData_Talib_Streaming(qResults, output, outRange, lookback);
ValidationHelper.VerifyData(qResults, output, outRange, lookback);
}
_output.WriteLine("EMA Streaming validated successfully against TA-Lib");
}
@@ -173,7 +166,7 @@ public class EmaValidationTests
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data
double[] sourceData = _data.Select(x => x.Value).ToArray();
double[] sourceData = _testData.RawData.ToArray();
double[] talibOutput = new double[sourceData.Length];
foreach (var period in periods)
@@ -189,7 +182,7 @@ public class EmaValidationTests
int lookback = TALib.Functions.EmaLookback(period);
// Compare last 100 records
VerifyData_Talib_Span(qOutput, talibOutput, outRange, lookback);
ValidationHelper.VerifyData(qOutput, talibOutput, outRange, lookback);
}
_output.WriteLine("EMA Span validated successfully against TA-Lib");
}
@@ -200,13 +193,13 @@ public class EmaValidationTests
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for Tulip (double[])
double[] tData = _data.Select(x => x.Value).ToArray();
double[] tData = _testData.RawData.ToArray();
foreach (var period in periods)
{
// Calculate QuanTAlib EMA (batch TSeries)
var ema = new global::QuanTAlib.Ema(period);
var qResult = ema.Update(_data);
var qResult = ema.Update(_testData.Data);
// Calculate Tulip EMA
var emaIndicator = Tulip.Indicators.ema;
@@ -218,7 +211,7 @@ public class EmaValidationTests
var tResult = outputs[0];
// Compare last 100 records
VerifyData_Tulip(qResult, tResult);
ValidationHelper.VerifyData(qResult, tResult, 0);
}
_output.WriteLine("EMA Batch(TSeries) validated successfully against Tulip");
}
@@ -229,14 +222,14 @@ public class EmaValidationTests
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for Tulip (double[])
double[] tData = _data.Select(x => x.Value).ToArray();
double[] tData = _testData.RawData.ToArray();
foreach (var period in periods)
{
// Calculate QuanTAlib EMA (streaming)
var ema = new global::QuanTAlib.Ema(period);
var qResults = new List<double>();
foreach (var item in _data)
foreach (var item in _testData.Data)
{
qResults.Add(ema.Update(item).Value);
}
@@ -251,7 +244,7 @@ public class EmaValidationTests
var tResult = outputs[0];
// Compare last 100 records
VerifyData_Tulip_Streaming(qResults, tResult);
ValidationHelper.VerifyData(qResults, tResult, 0);
}
_output.WriteLine("EMA Streaming validated successfully against Tulip");
}
@@ -262,7 +255,7 @@ public class EmaValidationTests
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data
double[] sourceData = _data.Select(x => x.Value).ToArray();
double[] sourceData = _testData.RawData.ToArray();
foreach (var period in periods)
{
@@ -280,175 +273,41 @@ public class EmaValidationTests
var tResult = outputs[0];
// Compare last 100 records
VerifyData_Tulip_Span(qOutput, tResult);
ValidationHelper.VerifyData(qOutput, tResult, 0);
}
_output.WriteLine("EMA Span validated successfully against Tulip");
}
// ==================== Verification Helpers ====================
private static void VerifyData_Skender(TSeries qSeries, List<EmaResult> sSeries)
[Fact]
public void Validate_Against_Ooples()
{
Assert.Equal(qSeries.Count, sSeries.Count);
int[] periods = { 5, 10, 20, 50, 100 };
int count = qSeries.Count;
int skip = count - 100;
for (int i = skip; i < count; i++)
// Prepare data for Ooples (List<TickerData>)
var ooplesData = _testData.SkenderQuotes.Select(q => new TickerData
{
double qValue = qSeries[i].Value;
double? sValue = sSeries[i].Ema;
Date = q.Date,
Close = (double)q.Close,
High = (double)q.High,
Low = (double)q.Low,
Open = (double)q.Open,
Volume = (double)q.Volume
}).ToList();
if (!sValue.HasValue) continue;
Assert.Equal(sValue.Value, qValue, 1e-6);
}
}
private static void VerifyData_Skender_Streaming(List<double> qResults, List<EmaResult> sSeries)
{
Assert.Equal(qResults.Count, sSeries.Count);
int count = qResults.Count;
int skip = count - 100;
for (int i = skip; i < count; i++)
foreach (var period in periods)
{
double qValue = qResults[i];
double? sValue = sSeries[i].Ema;
// Calculate QuanTAlib EMA
var ema = new global::QuanTAlib.Ema(period);
var qResult = ema.Update(_testData.Data);
if (!sValue.HasValue) continue;
// Calculate Ooples EMA
var stockData = new StockData(ooplesData);
var oResult = stockData.CalculateExponentialMovingAverage(period);
var oValues = oResult.OutputValues.Values.First();
Assert.Equal(sValue.Value, qValue, 1e-6);
}
}
private static void VerifyData_Skender_Span(double[] qOutput, List<EmaResult> sSeries)
{
Assert.Equal(qOutput.Length, sSeries.Count);
int count = qOutput.Length;
int skip = count - 100;
for (int i = skip; i < count; i++)
{
double qValue = qOutput[i];
double? sValue = sSeries[i].Ema;
if (!sValue.HasValue) continue;
Assert.Equal(sValue.Value, qValue, 1e-6);
}
}
private static void VerifyData_Talib(TSeries qSeries, double[] tOutput, Range outRange, int lookback)
{
int count = qSeries.Count;
int skip = count - 100;
int validCount = outRange.End.Value - outRange.Start.Value;
for (int i = skip; i < count; i++)
{
double qValue = qSeries[i].Value;
if (i < lookback) continue;
int tIndex = i - lookback;
if (tIndex >= validCount) continue;
double tValue = tOutput[tIndex];
Assert.Equal(tValue, qValue, 1e-6);
}
}
private static void VerifyData_Talib_Streaming(List<double> qResults, double[] tOutput, Range outRange, int lookback)
{
int count = qResults.Count;
int skip = count - 100;
int validCount = outRange.End.Value - outRange.Start.Value;
for (int i = skip; i < count; i++)
{
double qValue = qResults[i];
if (i < lookback) continue;
int tIndex = i - lookback;
if (tIndex >= validCount) continue;
double tValue = tOutput[tIndex];
Assert.Equal(tValue, qValue, 1e-6);
}
}
private static void VerifyData_Talib_Span(double[] qOutput, double[] tOutput, Range outRange, int lookback)
{
int count = qOutput.Length;
int skip = count - 100;
int validCount = outRange.End.Value - outRange.Start.Value;
for (int i = skip; i < count; i++)
{
double qValue = qOutput[i];
if (i < lookback) continue;
int tIndex = i - lookback;
if (tIndex >= validCount) continue;
double tValue = tOutput[tIndex];
Assert.Equal(tValue, qValue, 1e-6);
}
}
private static void VerifyData_Tulip(TSeries qSeries, double[] tOutput)
{
int count = qSeries.Count;
int skip = count - 100;
for (int i = skip; i < count; i++)
{
double qValue = qSeries[i].Value;
double tValue = tOutput[i];
if (Math.Abs(tValue) < 1e-10) continue;
Assert.Equal(tValue, qValue, 1e-6);
}
}
private static void VerifyData_Tulip_Streaming(List<double> qResults, double[] tOutput)
{
int count = qResults.Count;
int skip = count - 100;
for (int i = skip; i < count; i++)
{
double qValue = qResults[i];
double tValue = tOutput[i];
if (Math.Abs(tValue) < 1e-10) continue;
Assert.Equal(tValue, qValue, 1e-6);
}
}
private static void VerifyData_Tulip_Span(double[] qOutput, double[] tOutput)
{
int count = qOutput.Length;
int skip = count - 100;
for (int i = skip; i < count; i++)
{
double qValue = qOutput[i];
double tValue = tOutput[i];
if (Math.Abs(tValue) < 1e-10) continue;
Assert.Equal(tValue, qValue, 1e-6);
// Compare
ValidationHelper.VerifyData(qResult, oValues, (s) => s, tolerance: 5e-4);
}
_output.WriteLine("EMA validated successfully against Ooples");
}
}