Files
quantconnect--lean/Tests/Common/Util/FactorFileGeneratorTests.cs
2020-04-23 09:59:31 -03:00

117 lines
5.2 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.IO;
using System.Linq;
using NUnit.Framework;
using QuantConnect.Configuration;
using QuantConnect.Data.Auxiliary;
using QuantConnect.ToolBox;
using QuantConnect.ToolBox.YahooDownloader;
using QuantConnect.Util;
namespace QuantConnect.Tests.Common.Util
{
// For now these tests are excluded from the Travis build because of occasional Yahoo server errors.
// In future they should be updated to read the Yahoo data from a local test file.
[TestFixture, Category("TravisExclude")]
public class FactorFileGeneratorTests
{
private const string PermTick = "AAPL";
private const string Market = "usa";
readonly Symbol _symbol = new Symbol(SecurityIdentifier.GenerateEquity(PermTick, Market), PermTick);
private readonly string _dataPath = LeanData.GenerateZipFilePath(Config.Get("data-folder"),
new Symbol(SecurityIdentifier.GenerateEquity(PermTick, Market), PermTick),
DateTime.MaxValue,
Resolution.Daily,
TickType.Quote);
private FactorFileGenerator _factorFileGenerator;
private YahooDataDownloader _yahooDataDownloader;
[OneTimeSetUp]
public void Setup()
{
_factorFileGenerator = new FactorFileGenerator(_symbol, _dataPath);
_yahooDataDownloader = new YahooDataDownloader();
}
[Test]
public void SplitsAndDividends_CanBeDownloadedFromYahoo_Successfully()
{
var yahooEvents = _yahooDataDownloader.DownloadSplitAndDividendData(_symbol, DateTime.MinValue, DateTime.MaxValue);
Assert.IsTrue(yahooEvents.Any());
}
[Test]
public void FactorFile_CanBeCreatedFromYahooData_Successfully()
{
var yahooEvents = _yahooDataDownloader.DownloadSplitAndDividendData(_symbol, Parse.DateTime("01/01/1980"), DateTime.MaxValue);
var factorFile = _factorFileGenerator.CreateFactorFile(yahooEvents.ToList());
Assert.IsTrue(factorFile.Permtick == _symbol.Value);
}
[Test]
public void FactorFiles_CanBeGenerated_Accurately()
{
// Arrange
var yahooEvents = _yahooDataDownloader.DownloadSplitAndDividendData(_symbol, Parse.DateTime("01/01/1970"), DateTime.MaxValue);
var filePath = LeanData.GenerateRelativeFactorFilePath(_symbol);
var tolerance = 0.00001m;
if (!File.Exists(filePath))
throw new ArgumentException("This test requires an already calculated factor file." +
"Try using one of the pre-existing factor files ");
var originalFactorFileInstance = FactorFile.Read(PermTick, Market);
// we limit events to the penultimate time in our factor file (last one is 2050)
var lastValidRow = originalFactorFileInstance.SortedFactorFileData.Reverse().Skip(1).First();
// Act
var newFactorFileInstance = _factorFileGenerator.CreateFactorFile(yahooEvents.Where(data => data.Time.AddDays(-1) <= lastValidRow.Key).ToList());
var earliestDate = originalFactorFileInstance.SortedFactorFileData.First().Key;
var latestDate = originalFactorFileInstance.SortedFactorFileData.Last().Key;
// Assert
Assert.AreEqual(originalFactorFileInstance.SortedFactorFileData.Count,
newFactorFileInstance.SortedFactorFileData.Count);
for (var i = earliestDate; i < latestDate; i = i.AddDays(1))
{
FactorFileRow expected = null;
FactorFileRow actual = null;
originalFactorFileInstance.SortedFactorFileData.TryGetValue(i, out expected);
newFactorFileInstance.SortedFactorFileData.TryGetValue(i, out actual);
if (expected == null || actual == null)
{
Assert.IsTrue(actual == null);
Assert.IsTrue(expected == null);
}
else
{
Assert.IsTrue(Math.Abs(expected.PriceFactor - actual.PriceFactor) < tolerance);
Assert.IsTrue(Math.Abs(expected.SplitFactor - actual.SplitFactor) < tolerance);
}
}
}
}
}