/* * 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; using QuantConnect.Orders; using QuantConnect.Securities; using QuantConnect.Securities.Option; using QuantConnect.Securities.Positions; namespace QuantConnect.Algorithm.CSharp { /// /// Algorithm asserting that the margin call events are fired when trading options strategies /// public class OptionStrategyMarginCallEventsAlgorithm : OptionsMarginCallEventsAlgorithmBase { private Symbol _optionSymbol; private OptionStrategy _optionStrategy; protected override int OriginalQuantity => -50; protected override int ExpectedOrdersCount => 4; public override void Initialize() { SetStartDate(2015, 12, 24); SetEndDate(2015, 12, 30); // -50 of a straddle will use almost all of 900k, so will eventually trigger margin call SetCash(900000); var equity = AddEquity("GOOG"); var option = AddOption(equity.Symbol); _optionSymbol = option.Symbol; option.SetFilter(u => u.Strikes(-2, +2) .Expiration(0, 180)); Portfolio.MarginCallModel = new CustomMarginCallModel(Portfolio, DefaultOrderProperties); } public override void OnData(Slice slice) { if (!Portfolio.Invested) { if (IsMarketOpen(_optionSymbol) && slice.OptionChains.TryGetValue(_optionSymbol, out var chain)) { var callContracts = chain.Where(contract => contract.Right == OptionRight.Call) .GroupBy(x => x.Expiry) .OrderBy(grouping => grouping.Key) .First() .OrderByDescending(x => x.Strike) .ToList(); var expiry = callContracts[0].Expiry; var strike = callContracts[0].Strike; _optionStrategy = OptionStrategies.Straddle(_optionSymbol, strike, expiry); Order(_optionStrategy, OriginalQuantity); } } } public override void OnMarginCall(List requests) { base.OnMarginCall(requests); var positionGroup = Portfolio.Positions.Groups.Single(); foreach (var request in requests) { var position = positionGroup.GetPosition(request.Symbol); // We expect the margin call to be for one unit of the strategy in the opposite direction var expectedQuantity = -Math.Sign(position.Quantity) * 1; if (request.Quantity != expectedQuantity) { throw new RegressionTestException($"Expected margin call order quantity to be {expectedQuantity} but was {request.Quantity}"); } } } /// /// 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 override bool CanRunLocally { get; } = false; /// /// This is used by the regression test system to indicate which languages this algorithm is written in. /// public override List Languages { get; } = new() { Language.CSharp }; /// /// Data Points count of all timeslices of algorithm /// public override long DataPoints => 3132879; /// /// Data Points count of the algorithm history /// public override int AlgorithmHistoryDataPoints => 0; /// /// Final status of the algorithm /// public override AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed; /// /// This is used by the regression test system to indicate what the expected statistics are from running the algorithm /// public override Dictionary ExpectedStatistics => new Dictionary { {"Total Orders", "4"}, {"Average Win", "0%"}, {"Average Loss", "-0.01%"}, {"Compounding Annual Return", "-4.893%"}, {"Drawdown", "0.700%"}, {"Expectancy", "-1"}, {"Net Profit", "-0.092%"}, {"Sharpe Ratio", "0"}, {"Probabilistic Sharpe Ratio", "0%"}, {"Loss Rate", "100%"}, {"Win Rate", "0%"}, {"Profit-Loss Ratio", "0"}, {"Alpha", "0"}, {"Beta", "0"}, {"Annual Standard Deviation", "0"}, {"Annual Variance", "0"}, {"Information Ratio", "-0.681"}, {"Tracking Error", "0.092"}, {"Treynor Ratio", "0"}, {"Total Fees", "$1252.00"}, {"Estimated Strategy Capacity", "$130000.00"}, {"Lowest Capacity Asset", "GOOCV W78ZFMML01JA|GOOCV VP83T1ZUHROL"}, {"Portfolio Turnover", "1.17%"}, {"OrderListHash", "681be68373c2f38e51456d7f8010e7d3"} }; } }