mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-08-17 01:58:06 +00:00
- Implemented the HTIT indicator in Htit.cs, utilizing the Hilbert Transform for trend analysis. - Added unit tests for HTIT validation against TA-Lib, Skender, and Ooples implementations in Htit.Validation.Tests.cs. - Created documentation for HTIT in Htit.md, detailing its core concepts, formula, parameters, usage, and interpretation.
46 lines
1.4 KiB
C#
46 lines
1.4 KiB
C#
using Xunit;
|
|
using QuanTAlib;
|
|
|
|
namespace QuanTAlib.Tests;
|
|
|
|
public class TrimaTests
|
|
{
|
|
[Fact]
|
|
public void StateRestoration_IsCorrect()
|
|
{
|
|
// Arrange
|
|
int period = 4;
|
|
var trimaStreaming = new Trima(period);
|
|
var trimaBatch = new Trima(period);
|
|
|
|
// Generate enough data to fill the buffers and have some history
|
|
int count = 50;
|
|
var data = new TSeries();
|
|
for (int i = 0; i < count; i++)
|
|
{
|
|
data.Add(new TValue(DateTime.UtcNow.AddMinutes(i), 100 + i));
|
|
}
|
|
|
|
// Act
|
|
// 1. Feed streaming instance
|
|
Assert.True(data.Count > 0);
|
|
for (int i = 0; i < data.Count; i++)
|
|
{
|
|
trimaStreaming.Update(data[i]);
|
|
}
|
|
|
|
// 2. Feed batch instance with all but the last point first, then the last point
|
|
// Actually, the Update(TSeries) method is supposed to handle the whole series and leave the state ready for the NEXT point.
|
|
// So let's feed the whole series to batch instance.
|
|
trimaBatch.Update(data);
|
|
|
|
// 3. Now feed one NEW point to both
|
|
var newPoint = new TValue(DateTime.UtcNow.AddMinutes(count), 200);
|
|
var resultStreaming = trimaStreaming.Update(newPoint);
|
|
var resultBatch = trimaBatch.Update(newPoint);
|
|
|
|
// Assert
|
|
Assert.Equal(resultStreaming.Value, resultBatch.Value, precision: 9);
|
|
}
|
|
}
|