/* * 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 System.Reflection; 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) future option expiry for calls. /// We expect 2 orders from the algorithm, which are: /// /// * Initial entry, buy ES Call Option (expiring OTM) /// - contract expires worthless, not exercised, so never opened a position in the underlying /// /// * Liquidation of worthless ES call option (expiring OTM) /// /// Additionally, we test delistings for future 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 FutureOptionCallOTMExpiryRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition { private Symbol _es19m20; private Symbol _esOption; private Symbol _expectedContract; public override void Initialize() { SetStartDate(2020, 1, 5); SetEndDate(2020, 6, 30); _es19m20 = AddFutureContract( QuantConnect.Symbol.CreateFuture( Futures.Indices.SP500EMini, Market.CME, new DateTime(2020, 6, 19)), Resolution.Minute).Symbol; // Select a future option call expiring OTM, and adds it to the algorithm. _esOption = AddFutureOptionContract(OptionChain(_es19m20) .Where(contractData => contractData.ID.StrikePrice >= 3300m && contractData.ID.OptionRight == OptionRight.Call) .OrderBy(contractData => contractData.ID.StrikePrice) .Take(1) .Single(), Resolution.Minute).Symbol; _expectedContract = QuantConnect.Symbol.CreateOption(_es19m20, Market.CME, OptionStyle.American, OptionRight.Call, 3300m, new DateTime(2020, 6, 19)); if (_esOption != _expectedContract) { throw new RegressionTestException($"Contract {_expectedContract} was not found in the chain"); } // Place order after regular market opens Schedule.On(DateRules.Tomorrow, TimeRules.AfterMarketOpen(_es19m20, 1), () => { MarketOrder(_esOption, 1); }); } public override void OnData(Slice slice) { // Assert delistings, so that we can make sure that we receive the delisting warnings at // the expected time. These assertions detect bug #4872 foreach (var delisting in slice.Delistings.Values) { if (delisting.Type == DelistingType.Warning) { if (delisting.Time != new DateTime(2020, 6, 19)) { throw new RegressionTestException($"Delisting warning issued at unexpected date: {delisting.Time}"); } } if (delisting.Type == DelistingType.Delisted) { if (delisting.Time != new DateTime(2020, 6, 20)) { 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 == _es19m20) { 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) { AssertFutureOptionContractOrder(orderEvent, security); } else { throw new RegressionTestException($"Received order event for unknown Symbol: {orderEvent.Symbol}"); } Log($"{orderEvent}"); } private void AssertFutureOptionContractOrder(OrderEvent orderEvent, Security option) { if (orderEvent.Direction == OrderDirection.Buy && option.Holdings.Quantity != 1) { throw new RegressionTestException($"No holdings were created for option contract {option.Symbol}"); } if (orderEvent.Direction == OrderDirection.Sell && option.Holdings.Quantity != 0) { throw new RegressionTestException("Holdings were found after a filled option exercise"); } if (orderEvent.Direction == OrderDirection.Sell && !orderEvent.Message.Contains("OTM")) { throw new RegressionTestException("Contract did not expire OTM"); } if (orderEvent.Message.Contains("Exercise")) { throw new RegressionTestException("Exercised option, even though it expires OTM"); } } /// /// Ran at the end of the algorithm to ensure the algorithm has no holdings /// /// The algorithm has holdings public override void OnEndOfAlgorithm() { if (Portfolio.Invested) { throw new RegressionTestException($"Expected no holdings at end of algorithm, but are invested in: {string.Join(", ", Portfolio.Keys)}"); } } /// /// 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 => 212196; /// /// Data Points count of the algorithm history /// public 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 Dictionary ExpectedStatistics => new Dictionary { {"Total Orders", "2"}, {"Average Win", "0%"}, {"Average Loss", "-3.85%"}, {"Compounding Annual Return", "-7.754%"}, {"Drawdown", "4.300%"}, {"Expectancy", "-1"}, {"Start Equity", "100000"}, {"End Equity", "96148.58"}, {"Net Profit", "-3.851%"}, {"Sharpe Ratio", "-1.221"}, {"Sortino Ratio", "0"}, {"Probabilistic Sharpe Ratio", "0.131%"}, {"Loss Rate", "100%"}, {"Win Rate", "0%"}, {"Profit-Loss Ratio", "0"}, {"Alpha", "-0.063"}, {"Beta", "0.003"}, {"Annual Standard Deviation", "0.052"}, {"Annual Variance", "0.003"}, {"Information Ratio", "-0.198"}, {"Tracking Error", "0.377"}, {"Treynor Ratio", "-23.065"}, {"Total Fees", "$1.42"}, {"Estimated Strategy Capacity", "$180000000.00"}, {"Lowest Capacity Asset", "ES XFH59UPHGV9G|ES XFH59UK0MYO1"}, {"Portfolio Turnover", "0.02%"}, {"Drawdown Recovery", "0"}, {"OrderListHash", "1d3c36cec32b24e8911d87d7b9730192"} }; } }