40 lines
1.5 KiB
C#
40 lines
1.5 KiB
C#
/*
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* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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using System.Collections.Generic;
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using NUnit.Framework;
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using QuantConnect.Statistics;
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namespace QuantConnect.Tests.Python
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{
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[TestFixture]
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public class PythonRegressionAlgorithmsTests
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{
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[Test]
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public void SelectUniverseSymbolsFromIDRegressionAlgorithm()
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{
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var parameters = new RegressionTests.AlgorithmStatisticsTestParameters("SelectUniverseSymbolsFromIDRegressionAlgorithm",
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new Dictionary<string, string> { {PerformanceMetrics.TotalOrders, "0"} },
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Language.Python,
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AlgorithmStatus.Completed);
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AlgorithmRunner.RunLocalBacktest(parameters.Algorithm,
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parameters.Statistics,
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parameters.Language,
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parameters.ExpectedFinalStatus);
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}
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}
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}
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