/* * 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 QuantConnect.Data; using QuantConnect.Data.UniverseSelection; using QuantConnect.Interfaces; using QuantConnect.Orders; using QuantConnect.Securities; using QuantConnect.Securities.Future; namespace QuantConnect.Algorithm.CSharp { /// /// This algorithm tests and demonstrates EUREX futures subscription and trading: /// - It tests contracts rollover by adding a continuous future and asserting that mapping happens at some point. /// - It tests basic trading by buying a contract and holding it until expiration. /// - It tests delisting and asserts the holdings are liquidated after that. /// public class BasicTemplateEurexFuturesAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition { private Future _continuousContract; private Symbol _mappedSymbol; private Symbol _contractToTrade; private int _mappingsCount; private decimal _boughtQuantity; private decimal _liquidatedQuantity; private bool _delisted; public override void Initialize() { SetStartDate(2024, 5, 30); SetEndDate(2024, 6, 23); SetAccountCurrency(Currencies.EUR); SetCash(1000000); _continuousContract = AddFuture(Futures.Indices.EuroStoxx50, Resolution.Minute, dataNormalizationMode: DataNormalizationMode.BackwardsRatio, dataMappingMode: DataMappingMode.FirstDayMonth, contractDepthOffset: 0); _continuousContract.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(180)); _mappedSymbol = _continuousContract.Mapped; var benchmark = AddIndex("SX5E"); SetBenchmark(benchmark.Symbol); var seeder = new FuncSecuritySeeder(GetLastKnownPrices); SetSecurityInitializer(security => seeder.SeedSecurity(security)); } public override void OnData(Slice slice) { foreach (var changedEvent in slice.SymbolChangedEvents.Values) { if (++_mappingsCount > 1) { throw new RegressionTestException($"{Time} - Unexpected number of symbol changed events (mappings): {_mappingsCount}. " + $"Expected only 1."); } Debug($"{Time} - SymbolChanged event: {changedEvent}"); if (changedEvent.OldSymbol != _mappedSymbol.ID.ToString()) { throw new RegressionTestException($"{Time} - Unexpected symbol changed event old symbol: {changedEvent}"); } if (changedEvent.NewSymbol != _continuousContract.Mapped.ID.ToString()) { throw new RegressionTestException($"{Time} - Unexpected symbol changed event new symbol: {changedEvent}"); } // Let's trade the previous mapped contract, so we can hold it until expiration for testing // (will be sooner than the new mapped contract) _contractToTrade = _mappedSymbol; _mappedSymbol = _continuousContract.Mapped; } // Let's trade after the mapping is done if (_contractToTrade != null && _boughtQuantity == 0 && Securities[_contractToTrade].Exchange.ExchangeOpen) { Buy(_contractToTrade, 1); } if (_contractToTrade != null && slice.Delistings.TryGetValue(_contractToTrade, out var delisting)) { if (delisting.Type == DelistingType.Delisted) { _delisted = true; if (Portfolio.Invested) { throw new RegressionTestException($"{Time} - Portfolio should not be invested after the traded contract is delisted."); } } } } public override void OnOrderEvent(OrderEvent orderEvent) { if (orderEvent.Symbol != _contractToTrade) { throw new RegressionTestException($"{Time} - Unexpected order event symbol: {orderEvent.Symbol}. Expected {_contractToTrade}"); } if (orderEvent.Direction == OrderDirection.Buy) { if (orderEvent.Status == OrderStatus.Filled) { if (_boughtQuantity != 0 && _liquidatedQuantity != 0) { throw new RegressionTestException($"{Time} - Unexpected buy order event status: {orderEvent.Status}"); } _boughtQuantity = orderEvent.Quantity; } } else if (orderEvent.Direction == OrderDirection.Sell) { if (orderEvent.Status == OrderStatus.Filled) { if (_boughtQuantity <= 0 && _liquidatedQuantity != 0) { throw new RegressionTestException($"{Time} - Unexpected sell order event status: {orderEvent.Status}"); } _liquidatedQuantity = orderEvent.Quantity; if (_liquidatedQuantity != -_boughtQuantity) { throw new RegressionTestException($"{Time} - Unexpected liquidated quantity: {_liquidatedQuantity}. Expected: {-_boughtQuantity}"); } } } } public override void OnSecuritiesChanged(SecurityChanges changes) { foreach (var addedSecurity in changes.AddedSecurities) { if (addedSecurity.Symbol.SecurityType == SecurityType.Future && addedSecurity.Symbol.IsCanonical()) { _mappedSymbol = _continuousContract.Mapped; } } } public override void OnEndOfAlgorithm() { if (_mappingsCount == 0) { throw new RegressionTestException($"Unexpected number of symbol changed events (mappings): {_mappingsCount}. Expected 1."); } if (!_delisted) { throw new RegressionTestException("Contract was not delisted"); } // Make sure we traded and that the position was liquidated on delisting if (_boughtQuantity <= 0 || _liquidatedQuantity >= 0) { throw new RegressionTestException($"Unexpected sold quantity: {_boughtQuantity} and liquidated quantity: {_liquidatedQuantity}"); } } /// /// 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, Language.Python }; /// /// Data Points count of all timeslices of algorithm /// public long DataPoints => 94326; /// /// 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", "2"}, {"Average Win", "0%"}, {"Average Loss", "-0.11%"}, {"Compounding Annual Return", "-1.667%"}, {"Drawdown", "0.100%"}, {"Expectancy", "-1"}, {"Start Equity", "1000000"}, {"End Equity", "998849.48"}, {"Net Profit", "-0.115%"}, {"Sharpe Ratio", "-34.455"}, {"Sortino Ratio", "-57.336"}, {"Probabilistic Sharpe Ratio", "0.002%"}, {"Loss Rate", "100%"}, {"Win Rate", "0%"}, {"Profit-Loss Ratio", "0"}, {"Alpha", "0"}, {"Beta", "0"}, {"Annual Standard Deviation", "0.002"}, {"Annual Variance", "0"}, {"Information Ratio", "-6.176"}, {"Tracking Error", "0.002"}, {"Treynor Ratio", "0"}, {"Total Fees", "€1.02"}, {"Estimated Strategy Capacity", "€2300000000.00"}, {"Lowest Capacity Asset", "FESX YJHOAMPYKRS5"}, {"Portfolio Turnover", "0.40%"}, {"Drawdown Recovery", "0"}, {"OrderListHash", "ac9acc478ba1afe53993cdbb92f8ec6e"} }; } }