/* * 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.Collections.Generic; using System.Linq; using QuantConnect.Data.UniverseSelection; using QuantConnect.Interfaces; using QuantConnect.Securities; namespace QuantConnect.Algorithm.CSharp { /// /// Regression algorithm testing the behavior of the algorithm when a security is removed and re-added. /// It asserts that the securities are marked as non-tradable when removed and that they are tradable when re-added. /// It also asserts that the algorithm receives the correct security changed events for the added and removed securities. /// /// Additionally, it tests that the security is initialized after every addition, and no more. /// /// This specific algorithm tests this behavior for equities. /// public class SecurityInitializationOnReAdditionForEquityRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition { private Security _security; private Queue _tradableDates; private bool _securityWasRemoved; private Dictionary _securityInializationCounts = new(); protected virtual DateTime StartTimeToUse => new DateTime(2013, 10, 05); protected virtual DateTime EndTimeToUse => new DateTime(2013, 10, 30); public override void Initialize() { SetStartDate(StartTimeToUse); SetEndDate(EndTimeToUse); var seeder = new FuncSecuritySeeder((security) => { if (!_securityInializationCounts.TryGetValue(security, out var count)) { count = 0; } _securityInializationCounts[security] = count + 1; Debug($"[{Time}] Seeding {security.Symbol}"); return GetLastKnownPrices(security); }); SetSecurityInitializer(security => seeder.SeedSecurity(security)); _security = AddSecurityImpl(); _tradableDates = new(QuantConnect.Time.EachTradeableDay(_security.Exchange.Hours, StartDate, EndDate)); Schedule.On(DateRules.EveryDay(_security.Symbol), TimeRules.Midnight, () => { var currentTradableDate = _tradableDates.Dequeue(); if (currentTradableDate != Time.Date) { throw new RegressionTestException($"Expected the current tradable date to be {Time.Date}. Got {currentTradableDate}"); } if (Time == StartDate) { return; } // Before we remove the security let's check that it was not initialized again AssertSecurityInitializationCount(_securityInializationCounts, _security); // Remove the security every day Debug($"[{Time}] Removing the security"); _securityWasRemoved = RemoveSecurity(_security.Symbol); if (!_securityWasRemoved) { throw new RegressionTestException($"Expected the security to be removed"); } if (_security.IsTradable) { throw new RegressionTestException($"Expected the security to be not tradable after removing it"); } }); } private Security AddSecurityImpl() { _securityInializationCounts.Clear(); var security = AddSecurity(); if (_security != null && !ReferenceEquals(_security, security)) { throw new RegressionTestException($"Expected the security to be the same as the original security"); } AssertSecurityInitializationCount(_securityInializationCounts, security); return security; } protected virtual Security AddSecurity() { return AddEquity("SPY"); } public override void OnSecuritiesChanged(SecurityChanges changes) { if (_securityWasRemoved) { if (changes.AddedSecurities.Count > 0) { throw new RegressionTestException($"Expected no securities to be added. Got {changes.AddedSecurities.Count}"); } if (!changes.RemovedSecurities.Contains(_security)) { throw new RegressionTestException($"Expected the security to be removed. Got {changes.RemovedSecurities.Count}"); } _securityWasRemoved = false; // Add the security back Debug($"[{Time}] Re-adding the security"); var reAddedSecurity = AddSecurityImpl(); if (!ReferenceEquals(reAddedSecurity, _security)) { throw new RegressionTestException($"Expected the re-added security to be the same as the original security"); } if (!reAddedSecurity.IsTradable) { throw new RegressionTestException($"Expected the re-added security to be tradable"); } } else if (!changes.AddedSecurities.Contains(_security)) { throw new RegressionTestException($"Expected the security to be added back"); } } public override void OnEndOfAlgorithm() { if (_tradableDates.Count > 0) { throw new RegressionTestException($"Expected no more tradable dates. Still have {_tradableDates.Count}"); } } protected virtual void AssertSecurityInitializationCount(Dictionary securityInializationCounts, Security security) { if (securityInializationCounts.Count != 1) { throw new RegressionTestException($"Expected only one security to be initialized. Got {securityInializationCounts.Count}"); } if (!securityInializationCounts.TryGetValue(security, out var count) || count != 1) { throw new RegressionTestException($"Expected the security to be initialized once and once only, " + $"but was initialized {count} times"); } } /// /// 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 bool CanRunLocally { get; } = true; /// /// This is used by the regression test system to indicate which languages this algorithm is written in. /// public List Languages { get; } = new() { Language.CSharp }; /// /// Data Points count of all timeslices of algorithm /// public virtual long DataPoints => 4036; /// /// Data Points count of the algorithm history /// public virtual int AlgorithmHistoryDataPoints => 3848; /// /// 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", "100000"}, {"End Equity", "100000"}, {"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", "-5.028"}, {"Tracking Error", "0.11"}, {"Treynor Ratio", "0"}, {"Total Fees", "$0.00"}, {"Estimated Strategy Capacity", "$0"}, {"Lowest Capacity Asset", ""}, {"Portfolio Turnover", "0%"}, {"Drawdown Recovery", "0"}, {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"} }; } }