/* * 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.Collections.Generic; using QuantConnect.Algorithm.Framework.Alphas; namespace QuantConnect.Algorithm.CSharp { /// /// Regression algorithm to assert the behavior of . /// public class EmaCrossAlphaModelFrameworkRegressionAlgorithm : BaseFrameworkRegressionAlgorithm { public override void Initialize() { base.Initialize(); SetAlpha(new EmaCrossAlphaModel()); } public override void OnEndOfAlgorithm() { } public override int AlgorithmHistoryDataPoints => 152; /// /// This is used by the regression test system to indicate what the expected statistics are from running the algorithm /// public override Dictionary ExpectedStatistics => new() { {"Total Trades", "56"}, {"Average Win", "0.32%"}, {"Average Loss", "-0.05%"}, {"Compounding Annual Return", "53.636%"}, {"Drawdown", "0.900%"}, {"Expectancy", "2.605"}, {"Net Profit", "3.592%"}, {"Sharpe Ratio", "6.804"}, {"Probabilistic Sharpe Ratio", "94.596%"}, {"Loss Rate", "50%"}, {"Win Rate", "50%"}, {"Profit-Loss Ratio", "6.21"}, {"Alpha", "0.282"}, {"Beta", "0.395"}, {"Annual Standard Deviation", "0.053"}, {"Annual Variance", "0.003"}, {"Information Ratio", "2.825"}, {"Tracking Error", "0.057"}, {"Treynor Ratio", "0.913"}, {"Total Fees", "$98.36"}, {"Estimated Strategy Capacity", "$8200000.00"}, {"Lowest Capacity Asset", "AIG R735QTJ8XC9X"}, {"Portfolio Turnover", "16.97%"}, {"OrderListHash", "c15f396207f4f6e8074b29dd0e532da4"} }; } }