/* * 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.Interfaces; using QuantConnect.Orders; using QuantConnect.Securities; namespace QuantConnect.Algorithm.CSharp { /// /// This regression algorithm tests Out of The Money (OTM) index option expiry for calls. /// We expect 2 orders from the algorithm, which are: /// /// * Initial entry, buy SPX Call Option (expiring OTM) /// - contract expires worthless, not exercised, so never opened a position in the underlying /// /// * Liquidation of worthless SPX call option (expiring OTM) /// /// Additionally, we test delistings for index options and assert that our /// portfolio holdings reflect the orders the algorithm has submitted. /// /// /// Total Trades in regression algorithm should be 1, but expiration is counted as a trade. /// See related issue: https://github.com/QuantConnect/Lean/issues/4854 /// public class IndexOptionCallOTMExpiryRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition { private Symbol _spx; private Symbol _spxOption; private int _optionOrders; private Symbol _expectedContract; protected virtual Resolution Resolution => Resolution.Minute; public override void Initialize() { SetStartDate(2021, 1, 4); SetEndDate(2021, 1, 31); _spx = AddIndex("SPX", Resolution).Symbol; // Select a index option call expiring OTM, and adds it to the algorithm. _spxOption = AddIndexOptionContract(OptionChain(_spx) .Where(x => x.ID.StrikePrice >= 4250m && x.ID.OptionRight == OptionRight.Call && x.ID.Date.Year == 2021 && x.ID.Date.Month == 1) .OrderBy(x => x.ID.StrikePrice) .Take(1) .Single(), Resolution).Symbol; _expectedContract = QuantConnect.Symbol.CreateOption(_spx, Market.USA, OptionStyle.European, OptionRight.Call, 4250m, new DateTime(2021, 1, 15)); if (_spxOption != _expectedContract) { throw new RegressionTestException($"Contract {_expectedContract} was not found in the chain"); } Schedule.On(DateRules.Tomorrow, TimeRules.AfterMarketOpen(_spx, 1), () => { MarketOrder(_spxOption, 1); }); } public override void OnData(Slice slice) { // Assert delistings, so that we can make sure that we receive the delisting warnings at // the expected time. These assertions detect bug #4872 foreach (var delisting in slice.Delistings.Values) { if (delisting.Type == DelistingType.Warning) { if (delisting.Time != new DateTime(2021, 1, 15)) { throw new RegressionTestException($"Delisting warning issued at unexpected date: {delisting.Time}"); } } if (delisting.Type == DelistingType.Delisted) { if (delisting.Time != new DateTime(2021, 1, 16)) { throw new RegressionTestException($"Delisting happened at unexpected date: {delisting.Time}"); } } } } public override void OnOrderEvent(OrderEvent orderEvent) { if (orderEvent.Status != OrderStatus.Filled) { // There's lots of noise with OnOrderEvent, but we're only interested in fills. return; } if (!Securities.ContainsKey(orderEvent.Symbol)) { throw new RegressionTestException($"Order event Symbol not found in Securities collection: {orderEvent.Symbol}"); } var security = Securities[orderEvent.Symbol]; if (security.Symbol == _spx) { throw new RegressionTestException("Invalid state: did not expect a position for the underlying to be opened, since this contract expires OTM"); } if (security.Symbol == _expectedContract) { AssertIndexOptionContractOrder(orderEvent, security); } else { throw new RegressionTestException($"Received order event for unknown Symbol: {orderEvent.Symbol}"); } Log($"{orderEvent}"); } private void AssertIndexOptionContractOrder(OrderEvent orderEvent, Security option) { if (orderEvent.Direction == OrderDirection.Buy && option.Holdings.Quantity != 1) { throw new RegressionTestException($"No holdings were created for option contract {option.Symbol}"); } if (orderEvent.Direction == OrderDirection.Sell && option.Holdings.Quantity != 0) { throw new RegressionTestException("Holdings were found after a filled option exercise"); } if (orderEvent.Direction == OrderDirection.Sell && !orderEvent.Message.Contains("OTM")) { throw new RegressionTestException("Contract did not expire OTM"); } if (orderEvent.Message.Contains("Exercise")) { throw new RegressionTestException("Exercised option, even though it expires OTM"); } _optionOrders++; } /// /// Ran at the end of the algorithm to ensure the algorithm has no holdings /// /// The algorithm has holdings public override void OnEndOfAlgorithm() { if (Portfolio.Invested) { throw new RegressionTestException($"Expected no holdings at end of algorithm, but are invested in: {string.Join(", ", Portfolio.Keys)}"); } if (_optionOrders != 2) { throw new RegressionTestException("Option orders were not as expected!"); } } /// /// 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 virtual List Languages { get; } = new() { Language.CSharp, Language.Python }; /// /// Data Points count of all timeslices of algorithm /// public virtual long DataPoints => 15941; /// /// Data Points count of the algorithm history /// public virtual int AlgorithmHistoryDataPoints => 1; /// /// 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", "2"}, {"Average Win", "0%"}, {"Average Loss", "-0.01%"}, {"Compounding Annual Return", "-0.142%"}, {"Drawdown", "0.000%"}, {"Expectancy", "-1"}, {"Start Equity", "100000"}, {"End Equity", "99990"}, {"Net Profit", "-0.010%"}, {"Sharpe Ratio", "-15.959"}, {"Sortino Ratio", "-124989.863"}, {"Probabilistic Sharpe Ratio", "0.015%"}, {"Loss Rate", "100%"}, {"Win Rate", "0%"}, {"Profit-Loss Ratio", "0"}, {"Alpha", "-0.004"}, {"Beta", "0"}, {"Annual Standard Deviation", "0"}, {"Annual Variance", "0"}, {"Information Ratio", "-0.334"}, {"Tracking Error", "0.138"}, {"Treynor Ratio", "-32.969"}, {"Total Fees", "$0.00"}, {"Estimated Strategy Capacity", "$22000.00"}, {"Lowest Capacity Asset", "SPX XL80P59H5E6M|SPX 31"}, {"Portfolio Turnover", "0.00%"}, {"Drawdown Recovery", "0"}, {"OrderListHash", "adfa67772fb1a7f40d65922cbe180c8e"} }; } }