Files
2026-07-13 13:02:50 +08:00

66 lines
2.1 KiB
C#

/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
using System;
using System.Collections.Generic;
using NUnit.Framework;
using QuantConnect.Indicators;
namespace QuantConnect.Tests.Indicators
{
[TestFixture]
public class LogReturnTests : CommonIndicatorTests<IndicatorDataPoint>
{
protected override IndicatorBase<IndicatorDataPoint> CreateIndicator()
{
return new LogReturn(14);
}
protected override string TestFileName => "spy_logr14.txt";
protected override string TestColumnName => "LOGR14";
[Test]
public void LOGRComputesCorrectly()
{
var period = 4;
var logr = new LogReturn(period);
var data = new[] { 1, 10, 100, 1000, 10000, 1234, 56789 };
var seen = new List<int>();
var time = DateTime.Now;
for (var i = 0; i < data.Length; i++)
{
var datum = data[i];
var value0 = 0.0;
if (seen.Count >= 0 && seen.Count < period)
{
value0 = data[0];
}
else if (seen.Count >= period)
{
value0 = data[i - period];
}
var expected = (decimal)Math.Log(datum / value0);
seen.Add(datum);
logr.Update(time.AddSeconds(i), datum);
Assert.AreEqual(expected, logr.Current.Value);
}
}
}
}