wehub-resource-sync
89 lines
3.4 KiB
C#
89 lines
3.4 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;
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using System.Collections.Generic;
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using System.Linq;
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using QuantConnect.Algorithm.Framework.Alphas;
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namespace QuantConnect.Algorithm.CSharp
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{
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/// <summary>
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/// Regression algorithm to assert the behavior of <see cref="RsiAlphaModel"/>.
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/// </summary>
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public class RsiAlphaModelFrameworkRegressionAlgorithm : BaseFrameworkRegressionAlgorithm
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{
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public override void Initialize()
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{
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base.Initialize();
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SetAlpha(new RsiAlphaModel());
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}
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public override void OnEndOfAlgorithm()
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{
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// We have removed all securities from the universe. The Alpha Model should remove the consolidator
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var consolidatorCount = SubscriptionManager.Subscriptions.Sum(s => s.Consolidators.Count);
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if (consolidatorCount > 0)
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{
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throw new RegressionTestException($"The number of consolidators should be zero. Actual: {consolidatorCount}");
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}
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}
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public override long DataPoints => 771;
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public override int AlgorithmHistoryDataPoints => 56;
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/// <summary>
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/// Final status of the algorithm
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/// </summary>
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public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;
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/// <summary>
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/// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
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/// </summary>
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public override Dictionary<string, string> ExpectedStatistics => new()
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{
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{"Total Orders", "28"},
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{"Average Win", "0.14%"},
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{"Average Loss", "-0.08%"},
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{"Compounding Annual Return", "0.237%"},
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{"Drawdown", "1.900%"},
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{"Expectancy", "0.186"},
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{"Start Equity", "100000"},
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{"End Equity", "100019.20"},
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{"Net Profit", "0.019%"},
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{"Sharpe Ratio", "-0.1"},
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{"Sortino Ratio", "-0.126"},
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{"Probabilistic Sharpe Ratio", "35.695%"},
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{"Loss Rate", "57%"},
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{"Win Rate", "43%"},
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{"Profit-Loss Ratio", "1.77"},
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{"Alpha", "0.059"},
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{"Beta", "-0.335"},
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{"Annual Standard Deviation", "0.048"},
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{"Annual Variance", "0.002"},
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{"Information Ratio", "-2.498"},
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{"Tracking Error", "0.078"},
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{"Treynor Ratio", "0.014"},
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{"Total Fees", "$62.12"},
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{"Estimated Strategy Capacity", "$30000000.00"},
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{"Lowest Capacity Asset", "NB R735QTJ8XC9X"},
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{"Portfolio Turnover", "14.67%"},
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{"Drawdown Recovery", "7"},
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{"OrderListHash", "ddd8bbb62bc3d6306d7e388d383c872a"}
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};
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}
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}
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