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

320 lines
10 KiB
C#

using OoplesFinance.StockIndicators;
using OoplesFinance.StockIndicators.Models;
using Skender.Stock.Indicators;
using TALib;
using Xunit.Abstractions;
namespace QuanTAlib.Tests;
public sealed class SmaValidationTests : IDisposable
{
private readonly ValidationTestData _testData;
private readonly ITestOutputHelper _output;
private bool _disposed;
public SmaValidationTests(ITestOutputHelper output)
{
_output = output;
_testData = new ValidationTestData();
}
public void Dispose()
{
Dispose(true);
}
private void Dispose(bool disposing)
{
if (_disposed)
{
return;
}
_disposed = true;
if (disposing)
{
_testData?.Dispose();
}
}
[Fact]
public void Validate_Skender_Batch()
{
int[] periods = { 5, 10, 20, 50, 100 };
foreach (var period in periods)
{
// Calculate QuanTAlib SMA (batch TSeries)
var sma = new global::QuanTAlib.Sma(period);
var qResult = sma.Update(_testData.Data);
// Calculate Skender SMA
var sResult = _testData.SkenderQuotes.GetSma(period).ToList();
// Compare last 100 records
ValidationHelper.VerifyData(qResult, sResult, (s) => s.Sma);
}
_output.WriteLine("SMA Batch(TSeries) validated successfully against Skender");
}
[Fact]
public void Validate_Skender_Streaming()
{
int[] periods = { 5, 10, 20, 50, 100 };
foreach (var period in periods)
{
// Calculate QuanTAlib SMA (streaming)
var sma = new global::QuanTAlib.Sma(period);
var qResults = new List<double>();
foreach (var item in _testData.Data)
{
qResults.Add(sma.Update(item).Value);
}
// Calculate Skender SMA
var sResult = _testData.SkenderQuotes.GetSma(period).ToList();
// Compare last 100 records
ValidationHelper.VerifyData(qResults, sResult, (s) => s.Sma);
}
_output.WriteLine("SMA Streaming validated successfully against Skender");
}
[Fact]
public void Validate_Skender_Span()
{
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for Span API
double[] sourceData = _testData.RawData.ToArray();
foreach (var period in periods)
{
// Calculate QuanTAlib SMA (Span API)
double[] qOutput = new double[sourceData.Length];
global::QuanTAlib.Sma.Batch(sourceData.AsSpan(), qOutput.AsSpan(), period);
// Calculate Skender SMA
var sResult = _testData.SkenderQuotes.GetSma(period).ToList();
// Compare last 100 records
ValidationHelper.VerifyData(qOutput, sResult, (s) => s.Sma);
}
_output.WriteLine("SMA Span validated successfully against Skender");
}
[Fact]
public void Validate_Talib_Batch()
{
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for TA-Lib (double[])
double[] tData = _testData.RawData.ToArray();
double[] output = new double[tData.Length];
foreach (var period in periods)
{
// Calculate QuanTAlib SMA (batch TSeries)
var sma = new global::QuanTAlib.Sma(period);
var qResult = sma.Update(_testData.Data);
// Calculate TA-Lib SMA
var retCode = TALib.Functions.Sma<double>(tData, 0..^0, output, out var outRange, period);
Assert.Equal(TALib.Core.RetCode.Success, retCode);
int lookback = TALib.Functions.SmaLookback(period);
// Compare last 100 records
ValidationHelper.VerifyData(qResult, output, outRange, lookback);
}
_output.WriteLine("SMA Batch(TSeries) validated successfully against TA-Lib");
}
[Fact]
public void Validate_Talib_Streaming()
{
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for TA-Lib (double[])
double[] tData = _testData.RawData.ToArray();
double[] output = new double[tData.Length];
foreach (var period in periods)
{
// Calculate QuanTAlib SMA (streaming)
var sma = new global::QuanTAlib.Sma(period);
var qResults = new List<double>();
foreach (var item in _testData.Data)
{
qResults.Add(sma.Update(item).Value);
}
// Calculate TA-Lib SMA
var retCode = TALib.Functions.Sma<double>(tData, 0..^0, output, out var outRange, period);
Assert.Equal(TALib.Core.RetCode.Success, retCode);
int lookback = TALib.Functions.SmaLookback(period);
// Compare last 100 records
ValidationHelper.VerifyData(qResults, output, outRange, lookback);
}
_output.WriteLine("SMA Streaming validated successfully against TA-Lib");
}
[Fact]
public void Validate_Talib_Span()
{
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data
double[] sourceData = _testData.RawData.ToArray();
double[] talibOutput = new double[sourceData.Length];
foreach (var period in periods)
{
// Calculate QuanTAlib SMA (Span API)
double[] qOutput = new double[sourceData.Length];
global::QuanTAlib.Sma.Batch(sourceData.AsSpan(), qOutput.AsSpan(), period);
// Calculate TA-Lib SMA
var retCode = TALib.Functions.Sma<double>(sourceData, 0..^0, talibOutput, out var outRange, period);
Assert.Equal(TALib.Core.RetCode.Success, retCode);
int lookback = TALib.Functions.SmaLookback(period);
// Compare last 100 records
ValidationHelper.VerifyData(qOutput, talibOutput, outRange, lookback);
}
_output.WriteLine("SMA Span validated successfully against TA-Lib");
}
[Fact]
public void Validate_Tulip_Batch()
{
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for Tulip (double[])
double[] tData = _testData.RawData.ToArray();
foreach (var period in periods)
{
// Calculate QuanTAlib SMA (batch TSeries)
var sma = new global::QuanTAlib.Sma(period);
var qResult = sma.Update(_testData.Data);
// Calculate Tulip SMA
var smaIndicator = Tulip.Indicators.sma;
double[][] inputs = { tData };
double[] options = { period };
int lookback = period - 1;
double[][] outputs = { new double[tData.Length - lookback] };
smaIndicator.Run(inputs, options, outputs);
var tResult = outputs[0];
// Compare last 100 records
ValidationHelper.VerifyData(qResult, tResult, lookback);
}
_output.WriteLine("SMA Batch(TSeries) validated successfully against Tulip");
}
[Fact]
public void Validate_Tulip_Streaming()
{
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for Tulip (double[])
double[] tData = _testData.RawData.ToArray();
foreach (var period in periods)
{
// Calculate QuanTAlib SMA (streaming)
var sma = new global::QuanTAlib.Sma(period);
var qResults = new List<double>();
foreach (var item in _testData.Data)
{
qResults.Add(sma.Update(item).Value);
}
// Calculate Tulip SMA
var smaIndicator = Tulip.Indicators.sma;
double[][] inputs = { tData };
double[] options = { period };
int lookback = period - 1;
double[][] outputs = { new double[tData.Length - lookback] };
smaIndicator.Run(inputs, options, outputs);
var tResult = outputs[0];
// Compare last 100 records
ValidationHelper.VerifyData(qResults, tResult, lookback);
}
_output.WriteLine("SMA Streaming validated successfully against Tulip");
}
[Fact]
public void Validate_Tulip_Span()
{
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data
double[] sourceData = _testData.RawData.ToArray();
foreach (var period in periods)
{
// Calculate QuanTAlib SMA (Span API)
double[] qOutput = new double[sourceData.Length];
global::QuanTAlib.Sma.Batch(sourceData.AsSpan(), qOutput.AsSpan(), period);
// Calculate Tulip SMA
var smaIndicator = Tulip.Indicators.sma;
double[][] inputs = { sourceData };
double[] options = { period };
int lookback = period - 1;
double[][] outputs = { new double[sourceData.Length - lookback] };
smaIndicator.Run(inputs, options, outputs);
var tResult = outputs[0];
// Compare last 100 records
ValidationHelper.VerifyData(qOutput, tResult, lookback);
}
_output.WriteLine("SMA Span validated successfully against Tulip");
}
[Fact]
public void Validate_Ooples_Batch()
{
int[] periods = { 5, 10, 20, 50, 100 };
// Prepare data for Ooples (List<TickerData>)
// Ooples requires TickerData which has Close, High, Low, Open, Volume, Date
var ooplesData = _testData.SkenderQuotes.Select(q => new TickerData
{
Date = q.Date,
Close = (double)q.Close,
High = (double)q.High,
Low = (double)q.Low,
Open = (double)q.Open,
Volume = (double)q.Volume
}).ToList();
foreach (var period in periods)
{
// Calculate QuanTAlib SMA (batch TSeries)
var sma = new global::QuanTAlib.Sma(period);
var qResult = sma.Update(_testData.Data);
// Calculate Ooples SMA
var stockData = new StockData(ooplesData);
var sResult = stockData.CalculateSimpleMovingAverage(period).OutputValues.Values.First();
// Compare last 100 records
ValidationHelper.VerifyData(qResult, sResult, (s) => s, 100, ValidationHelper.OoplesTolerance);
}
_output.WriteLine("SMA Batch(TSeries) validated successfully against Ooples");
}
}