/* * 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", "34"}, {"Average Win", "0.41%"}, {"Average Loss", "-0.16%"}, {"Compounding Annual Return", "54.253%"}, {"Drawdown", "0.900%"}, {"Expectancy", "1.537"}, {"Net Profit", "3.627%"}, {"Sharpe Ratio", "6.744"}, {"Probabilistic Sharpe Ratio", "94.855%"}, {"Loss Rate", "29%"}, {"Win Rate", "71%"}, {"Profit-Loss Ratio", "2.55"}, {"Alpha", "0.282"}, {"Beta", "0.393"}, {"Annual Standard Deviation", "0.053"}, {"Annual Variance", "0.003"}, {"Information Ratio", "2.891"}, {"Tracking Error", "0.057"}, {"Treynor Ratio", "0.909"}, {"Total Fees", "$76.37"}, {"Estimated Strategy Capacity", "$9600000.00"}, {"Lowest Capacity Asset", "AIG R735QTJ8XC9X"}, {"Portfolio Turnover", "16.91%"}, {"OrderListHash", "716f18b924c970c234706478f68b75ed"} }; } }