mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-31 19:07:42 +00:00
060649192f
- 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
211 lines
6.4 KiB
C#
211 lines
6.4 KiB
C#
using TALib;
|
|
using Xunit.Abstractions;
|
|
|
|
namespace QuanTAlib.Tests;
|
|
|
|
public sealed class LowestValidationTests : IDisposable
|
|
{
|
|
private readonly ValidationTestData _testData;
|
|
private readonly ITestOutputHelper _output;
|
|
private bool _disposed;
|
|
|
|
public LowestValidationTests(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_Talib_Batch()
|
|
{
|
|
int[] periods = { 5, 10, 14, 20, 50 };
|
|
|
|
double[] tData = _testData.RawData.ToArray();
|
|
double[] output = new double[tData.Length];
|
|
|
|
foreach (var period in periods)
|
|
{
|
|
// Calculate QuanTAlib Lowest (batch TSeries)
|
|
var lowest = new Lowest(period);
|
|
var qResult = lowest.Update(_testData.Data);
|
|
|
|
// Calculate TA-Lib MIN
|
|
var retCode = TALib.Functions.Min<double>(tData, 0..^0, output, out var outRange, period);
|
|
Assert.Equal(TALib.Core.RetCode.Success, retCode);
|
|
|
|
int lookback = TALib.Functions.MinLookback(period);
|
|
|
|
// Compare last 100 records
|
|
ValidationHelper.VerifyData(qResult, output, outRange, lookback);
|
|
}
|
|
_output.WriteLine("Lowest Batch(TSeries) validated successfully against TA-Lib MIN");
|
|
}
|
|
|
|
[Fact]
|
|
public void Validate_Talib_Streaming()
|
|
{
|
|
int[] periods = { 5, 10, 14, 20, 50 };
|
|
|
|
double[] tData = _testData.RawData.ToArray();
|
|
double[] output = new double[tData.Length];
|
|
|
|
foreach (var period in periods)
|
|
{
|
|
// Calculate QuanTAlib Lowest (streaming)
|
|
var lowest = new Lowest(period);
|
|
var qResults = new List<double>();
|
|
foreach (var item in _testData.Data)
|
|
{
|
|
qResults.Add(lowest.Update(item).Value);
|
|
}
|
|
|
|
// Calculate TA-Lib MIN
|
|
var retCode = TALib.Functions.Min<double>(tData, 0..^0, output, out var outRange, period);
|
|
Assert.Equal(TALib.Core.RetCode.Success, retCode);
|
|
|
|
int lookback = TALib.Functions.MinLookback(period);
|
|
|
|
// Compare last 100 records
|
|
ValidationHelper.VerifyData(qResults, output, outRange, lookback);
|
|
}
|
|
_output.WriteLine("Lowest Streaming validated successfully against TA-Lib MIN");
|
|
}
|
|
|
|
[Fact]
|
|
public void Validate_Talib_Span()
|
|
{
|
|
int[] periods = { 5, 10, 14, 20, 50 };
|
|
|
|
double[] sourceData = _testData.RawData.ToArray();
|
|
double[] talibOutput = new double[sourceData.Length];
|
|
|
|
foreach (var period in periods)
|
|
{
|
|
// Calculate QuanTAlib Lowest (Span API)
|
|
double[] qOutput = new double[sourceData.Length];
|
|
Lowest.Batch(sourceData.AsSpan(), qOutput.AsSpan(), period);
|
|
|
|
// Calculate TA-Lib MIN
|
|
var retCode = TALib.Functions.Min<double>(sourceData, 0..^0, talibOutput, out var outRange, period);
|
|
Assert.Equal(TALib.Core.RetCode.Success, retCode);
|
|
|
|
int lookback = TALib.Functions.MinLookback(period);
|
|
|
|
// Compare last 100 records
|
|
ValidationHelper.VerifyData(qOutput, talibOutput, outRange, lookback);
|
|
}
|
|
_output.WriteLine("Lowest Span validated successfully against TA-Lib MIN");
|
|
}
|
|
|
|
[Fact]
|
|
public void Validate_Tulip_Batch()
|
|
{
|
|
int[] periods = { 5, 10, 14, 20, 50 };
|
|
|
|
double[] tData = _testData.RawData.ToArray();
|
|
|
|
foreach (var period in periods)
|
|
{
|
|
// Calculate QuanTAlib Lowest (batch TSeries)
|
|
var lowest = new Lowest(period);
|
|
var qResult = lowest.Update(_testData.Data);
|
|
|
|
// Calculate Tulip min
|
|
var minIndicator = Tulip.Indicators.min;
|
|
double[][] inputs = { tData };
|
|
double[] options = { period };
|
|
int lookback = period - 1;
|
|
double[][] outputs = { new double[tData.Length - lookback] };
|
|
|
|
minIndicator.Run(inputs, options, outputs);
|
|
var tResult = outputs[0];
|
|
|
|
// Compare last 100 records
|
|
ValidationHelper.VerifyData(qResult, tResult, lookback);
|
|
}
|
|
_output.WriteLine("Lowest Batch(TSeries) validated successfully against Tulip min");
|
|
}
|
|
|
|
[Fact]
|
|
public void Validate_Tulip_Streaming()
|
|
{
|
|
int[] periods = { 5, 10, 14, 20, 50 };
|
|
|
|
double[] tData = _testData.RawData.ToArray();
|
|
|
|
foreach (var period in periods)
|
|
{
|
|
// Calculate QuanTAlib Lowest (streaming)
|
|
var lowest = new Lowest(period);
|
|
var qResults = new List<double>();
|
|
foreach (var item in _testData.Data)
|
|
{
|
|
qResults.Add(lowest.Update(item).Value);
|
|
}
|
|
|
|
// Calculate Tulip min
|
|
var minIndicator = Tulip.Indicators.min;
|
|
double[][] inputs = { tData };
|
|
double[] options = { period };
|
|
int lookback = period - 1;
|
|
double[][] outputs = { new double[tData.Length - lookback] };
|
|
|
|
minIndicator.Run(inputs, options, outputs);
|
|
var tResult = outputs[0];
|
|
|
|
// Compare last 100 records
|
|
ValidationHelper.VerifyData(qResults, tResult, lookback);
|
|
}
|
|
_output.WriteLine("Lowest Streaming validated successfully against Tulip min");
|
|
}
|
|
|
|
[Fact]
|
|
public void Validate_KnownValues()
|
|
{
|
|
// Test with simple known sequence
|
|
double[] data = { 10, 5, 8, 2, 9, 1, 7, 4, 6, 3 };
|
|
int period = 3;
|
|
|
|
// Expected: first=10, second=min(10,5)=5, then sliding min of last 3
|
|
// [10] -> 10
|
|
// [10,5] -> 5
|
|
// [10,5,8] -> 5
|
|
// [5,8,2] -> 2
|
|
// [8,2,9] -> 2
|
|
// [2,9,1] -> 1
|
|
// [9,1,7] -> 1
|
|
// [1,7,4] -> 1
|
|
// [7,4,6] -> 4
|
|
// [4,6,3] -> 3
|
|
double[] expected = { 10, 5, 5, 2, 2, 1, 1, 1, 4, 3 };
|
|
|
|
var lowest = new Lowest(period);
|
|
for (int i = 0; i < data.Length; i++)
|
|
{
|
|
var result = lowest.Update(new TValue(DateTime.UtcNow, data[i]));
|
|
Assert.Equal(expected[i], result.Value, precision: 10);
|
|
}
|
|
_output.WriteLine("Lowest validated with known values");
|
|
}
|
|
}
|