Files
QuanTAlib/lib/trends/alma/Alma.Validation.Tests.cs
T
Miha Kralj ed5e5c8209 Add unit tests for various moving average indicators
- Implement tests for HMA (Hull Moving Average) indicator to verify default settings, history depth calculations, and value computations during updates.
- Create tests for KAMA (Kaufman Adaptive Moving Average) indicator, ensuring correct defaults, history depth, and value calculations.
- Add tests for SMA (Simple Moving Average) indicator, checking default values, history depth, and value computations.
- Develop tests for T3 (Tillson T3 Moving Average) indicator, validating defaults, history depth, and value calculations.
- Implement tests for TEMA (Triple Exponential Moving Average) indicator, ensuring correct defaults and value computations.
- Create tests for TRIMA (Triangular Moving Average) indicator, verifying defaults, history depth, and value calculations.
- Add tests for WMA (Weighted Moving Average) indicator, checking default values, history depth, and value computations.
2025-12-08 11:00:58 -08:00

173 lines
5.1 KiB
C#

using System;
using System.Collections.Generic;
using System.Linq;
using Skender.Stock.Indicators;
using Xunit;
using Xunit.Abstractions;
namespace QuanTAlib.Tests;
public class AlmaValidationTests
{
// Note: ALMA is not available in TA-Lib or Tulip, so validation is limited to Skender.Stock.Indicators.
private readonly TBarSeries _bars;
private readonly TSeries _data;
private readonly List<Quote> _skenderQuotes;
private readonly ITestOutputHelper _output;
public AlmaValidationTests(ITestOutputHelper output)
{
_output = output;
// 1. Generate 1000 records using GBM feed
var gbm = new GBM(startPrice: 100.0, mu: 0.05, sigma: 0.2, seed: 42);
_bars = gbm.Fetch(1000, DateTime.UtcNow.Ticks, TimeSpan.FromMinutes(1));
// 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++)
{
_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
});
}
}
[Fact]
public void Validate_Skender_Batch()
{
int[] periods = { 9, 14, 20, 50 };
double offset = 0.85;
double sigma = 6.0;
foreach (var period in periods)
{
// Calculate QuanTAlib ALMA (batch TSeries)
var alma = new global::QuanTAlib.Alma(period, offset, sigma);
var qResult = alma.Update(_data);
// Calculate Skender ALMA
var sResult = _skenderQuotes.GetAlma(period, offset, sigma).ToList();
// Compare last 100 records
VerifyData_Skender(qResult, sResult);
}
_output.WriteLine("ALMA Batch(TSeries) validated successfully against Skender");
}
[Fact]
public void Validate_Skender_Streaming()
{
int[] periods = { 9, 14, 20, 50 };
double offset = 0.85;
double sigma = 6.0;
foreach (var period in periods)
{
// Calculate QuanTAlib ALMA (streaming)
var alma = new global::QuanTAlib.Alma(period, offset, sigma);
var qResults = new List<double>();
foreach (var item in _data)
{
qResults.Add(alma.Update(item).Value);
}
// Calculate Skender ALMA
var sResult = _skenderQuotes.GetAlma(period, offset, sigma).ToList();
// Compare last 100 records
VerifyData_Skender_Streaming(qResults, sResult);
}
_output.WriteLine("ALMA Streaming validated successfully against Skender");
}
[Fact]
public void Validate_Skender_Span()
{
int[] periods = { 9, 14, 20, 50 };
double offset = 0.85;
double sigma = 6.0;
// Prepare data for Span API
double[] sourceData = _data.Select(x => x.Value).ToArray();
foreach (var period in periods)
{
// Calculate QuanTAlib ALMA (Span API)
double[] qOutput = new double[sourceData.Length];
global::QuanTAlib.Alma.Calculate(sourceData.AsSpan(), qOutput.AsSpan(), period, offset, sigma);
// Calculate Skender ALMA
var sResult = _skenderQuotes.GetAlma(period, offset, sigma).ToList();
// Compare last 100 records
VerifyData_Skender_Span(qOutput, sResult);
}
_output.WriteLine("ALMA Span validated successfully against Skender");
}
private static void VerifyData_Skender(TSeries qSeries, List<AlmaResult> sSeries)
{
Assert.Equal(qSeries.Count, sSeries.Count);
int count = qSeries.Count;
int skip = count - 100;
for (int i = skip; i < count; i++)
{
double qValue = qSeries[i].Value;
double? sValue = sSeries[i].Alma;
if (!sValue.HasValue) continue;
Assert.Equal(sValue.Value, qValue, 1e-6);
}
}
private static void VerifyData_Skender_Streaming(List<double> qResults, List<AlmaResult> sSeries)
{
Assert.Equal(qResults.Count, sSeries.Count);
int count = qResults.Count;
int skip = count - 100;
for (int i = skip; i < count; i++)
{
double qValue = qResults[i];
double? sValue = sSeries[i].Alma;
if (!sValue.HasValue) continue;
Assert.Equal(sValue.Value, qValue, 1e-6);
}
}
private static void VerifyData_Skender_Span(double[] qOutput, List<AlmaResult> 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].Alma;
if (!sValue.HasValue) continue;
Assert.Equal(sValue.Value, qValue, 1e-6);
}
}
}