/* * 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 QuantConnect.Data; using QuantConnect.Interfaces; using QuantConnect.Securities; using System.Collections.Generic; using QuantConnect.Securities.Future; using System; using QuantConnect.Data.UniverseSelection; using System.Linq; namespace QuantConnect.Algorithm.CSharp { /// /// Regression algorithm asserting that continuous future universe selection happens right away for all futures. /// An example case is ES and Milk futures, which have different time zones. ES is in New York and Milk is in Chicago. /// ES selection would happen first just because of this, but all futures should have a mapped contract right away. /// public class ContinuousFutureImmediateUniverseSelectionRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition { private Future _es; private Future _milk; private bool _dataReceived; private DateTime _startDateUtc; private DateTime _esSelectionTimeUtc; private DateTime _milkSelectionTimeUtc; private bool _securitiesChangedEventReceived; public override void Initialize() { SetStartDate(2013, 10, 7); SetEndDate(2013, 10, 11); _startDateUtc = StartDate.ConvertToUtc(TimeZone); // ES time zone is New York _es = AddFuture(Futures.Indices.SP500EMini, dataNormalizationMode: DataNormalizationMode.BackwardsRatio, dataMappingMode: DataMappingMode.OpenInterestAnnual, contractDepthOffset: 0, extendedMarketHours: true); // Milk time zone is Chicago, so market open will be after ES _milk = AddFuture(Futures.Dairy.ClassIIIMilk, dataNormalizationMode: DataNormalizationMode.BackwardsRatio, dataMappingMode: DataMappingMode.OpenInterestAnnual, contractDepthOffset: 0, extendedMarketHours: true); _es.SetFilter(universe => { if (_esSelectionTimeUtc == DateTime.MinValue) { _esSelectionTimeUtc = universe.LocalTime.ConvertToUtc(_es.Exchange.TimeZone); if (_esSelectionTimeUtc != _startDateUtc) { throw new RegressionTestException($"Expected ES universe selection to happen on algorithm start ({_startDateUtc}), " + $"but happened on {_esSelectionTimeUtc}"); } } return universe; }); _milk.SetFilter(universe => { if (_milkSelectionTimeUtc == DateTime.MinValue) { _milkSelectionTimeUtc = universe.LocalTime.ConvertToUtc(_milk.Exchange.TimeZone); if (_milkSelectionTimeUtc != _startDateUtc) { throw new RegressionTestException($"Expected DC universe selection to happen on algorithm start ({_startDateUtc}), " + $"but happened on {_milkSelectionTimeUtc}"); } } return universe; }); } public override void OnData(Slice slice) { _dataReceived = true; if (_es.Mapped == null) { throw new RegressionTestException("ES mapped contract is null"); } // This is what we actually want to assert: even though Milk future time zone is 1 hour behind, // we should have a mapped contract right away. if (_milk.Mapped == null) { throw new RegressionTestException("DC mapped contract is null"); } Log($"{slice.Time} :: ES Mapped Contract: {_es.Mapped}. DC Mapped Contract: {_milk.Mapped}"); } public override void OnSecuritiesChanged(SecurityChanges changes) { if (!_securitiesChangedEventReceived) { _securitiesChangedEventReceived = true; if (Time != StartDate) { throw new RegressionTestException($"Expected OnSecuritiesChanged to be called on algorithm start ({StartDate}), " + $"but happened on {Time}"); } if (_esSelectionTimeUtc == DateTime.MinValue) { throw new RegressionTestException("ES universe selection time was not set"); } if (_milkSelectionTimeUtc == DateTime.MinValue) { throw new RegressionTestException("DC universe selection time was not set"); } if (changes.AddedSecurities.Count == 0 || changes.RemovedSecurities.Count != 0) { throw new RegressionTestException($"Unexpected securities changes. Expected multiple securities added and none removed " + $"but got {changes.AddedSecurities.Count} securities added and {changes.RemovedSecurities.Count} removed."); } if (!changes.AddedSecurities.Any(x => !x.Symbol.IsCanonical() && x.Symbol.Canonical == _es.Symbol)) { throw new RegressionTestException($"Expected to find a multiple futures for ES"); } if (!changes.AddedSecurities.Any(x => !x.Symbol.IsCanonical() && x.Symbol.Canonical == _milk.Symbol)) { throw new RegressionTestException($"Expected to find a multiple futures for DC"); } } } public override void OnEndOfAlgorithm() { // Just a protection in case data is changed to make sure assertions in OnData were done. if (!_dataReceived) { throw new RegressionTestException("No data was received so no checks were done"); } if (!_securitiesChangedEventReceived) { throw new RegressionTestException("OnSecuritiesChanged was not called"); } } /// /// 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 long DataPoints => 445961; /// /// Data Points count of the algorithm history /// public 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 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", "-8.91"}, {"Tracking Error", "0.223"}, {"Treynor Ratio", "0"}, {"Total Fees", "$0.00"}, {"Estimated Strategy Capacity", "$0"}, {"Lowest Capacity Asset", ""}, {"Portfolio Turnover", "0%"}, {"Drawdown Recovery", "0"}, {"OrderListHash", "d41d8cd98f00b204e9800998ecf8427e"} }; } }