/* * 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.Linq; using System.Collections.Generic; using QuantConnect.Data; using QuantConnect.Interfaces; namespace QuantConnect.Algorithm.CSharp { /// /// Reproduces https://github.com/QuantConnect/Lean/issues/7451, making sure no additional subscriptions are added for an index /// after manually adding both the underlying and an option contract, with slightly different configurations like the fill forward value. /// public class DuplicatedIndexOptionSubscriptionRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition { public override void Initialize() { SetStartDate(2021, 1, 4); SetEndDate(2021, 1, 4); SetCash(1000000); var spx = AddIndex("SPX", Resolution.Minute, fillForward: false).Symbol; if (SubscriptionManager.Subscriptions.Single().Symbol != spx) { throw new RegressionTestException($"Expected a single subscription to exist ({spx})"); } var spxOption = QuantConnect.Symbol.CreateOption( spx, Market.USA, OptionStyle.European, OptionRight.Call, 3200m, new DateTime(2021, 1, 15)); AddIndexOptionContract(spxOption, Resolution.Minute); if (SubscriptionManager.Subscriptions.Count() < 2) { throw new RegressionTestException("Expected subscriptions for the added index option contract"); } if (SubscriptionManager.Subscriptions.Count(x => x.Symbol == spx) != 1) { throw new RegressionTestException("Expected a single subscription for the underlying index security"); } // Quit early, we already tested what we wanted Quit(); } /// /// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm. /// public virtual bool CanRunLocally { get; } = true; /// /// This is used by the regression test system to indicate which languages this algorithm is written in. /// public virtual List Languages { get; } = new() { Language.CSharp }; /// /// Data Points count of all timeslices of algorithm /// public virtual long DataPoints => 0; /// /// Data Points count of the algorithm history /// public virtual int AlgorithmHistoryDataPoints => 0; /// /// Final status of the algorithm /// public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed; /// /// This is used by the regression test system to indicate what the expected statistics are from running the algorithm /// public virtual Dictionary ExpectedStatistics => new Dictionary { {"Total Orders", "0"}, {"Average Win", "0%"}, {"Average Loss", "0%"}, {"Compounding Annual Return", "0%"}, {"Drawdown", "0%"}, {"Expectancy", "0"}, {"Start Equity", "1000000"}, {"End Equity", "1000000"}, {"Net Profit", "0%"}, {"Sharpe Ratio", "0"}, {"Sortino Ratio", "0"}, {"Probabilistic Sharpe Ratio", "0%"}, {"Loss Rate", "0%"}, {"Win Rate", "0%"}, {"Profit-Loss Ratio", "0"}, {"Alpha", "0"}, {"Beta", "0"}, {"Annual Standard Deviation", "0"}, {"Annual Variance", "0"}, {"Information Ratio", "0"}, {"Tracking Error", "0"}, {"Treynor Ratio", "0"}, {"Total Fees", "$0.00"}, {"Estimated Strategy Capacity", "$0"}, {"Lowest Capacity Asset", ""}, {"Portfolio Turnover", "0%"}, {"Drawdown Recovery", "0"}, {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"} }; } }