/* * 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.Data.Market; using QuantConnect.Orders; using QuantConnect.Interfaces; namespace QuantConnect.Algorithm.CSharp { /// /// Options Open Interest data regression test. /// /// /// public class OptionOpenInterestRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition { public override void Initialize() { // this test opens position in the first day of trading, lives through stock split (7 for 1), and closes adjusted position on the second day SetStartDate(2014, 06, 05); SetEndDate(2014, 06, 06); SetCash(1000000); var option = AddOption("TWX"); option.SetFilter(-10, +10, TimeSpan.Zero, TimeSpan.FromDays(365 * 2)); // use the underlying equity as the benchmark SetBenchmark("TWX"); } /// /// Event - v3.0 DATA EVENT HANDLER: (Pattern) Basic template for user to override for receiving all subscription data in a single event /// /// The current slice of data keyed by symbol string public override void OnData(Slice slice) { if (!Portfolio.Invested) { foreach (var chain in slice.OptionChains) { foreach (var contract in chain.Value) { if (contract.Symbol.ID.StrikePrice == 72.5m && contract.Symbol.ID.OptionRight == OptionRight.Call && contract.Symbol.ID.Date == new DateTime(2016, 01, 15)) { var history = History(contract.Symbol, TimeSpan.FromDays(1)).ToList(); if (history.Count == 0) { throw new Exception("Regression test failed: open interest history request is empty"); } var security = Securities[contract.Symbol]; var openInterestCache = security.Cache.GetData(); if (openInterestCache == null) { throw new Exception("Regression test failed: current open interest isn't in the security cache"); } if (slice.Time.Date == new DateTime(2014, 06, 05) && (contract.OpenInterest != 50 || security.OpenInterest != 50)) { throw new Exception("Regression test failed: current open interest was not correctly loaded and is not equal to 50"); } if (slice.Time.Date == new DateTime(2014, 06, 06) && (contract.OpenInterest != 70 || security.OpenInterest != 70)) { throw new Exception("Regression test failed: current open interest was not correctly loaded and is not equal to 70"); } if (slice.Time.Date == new DateTime(2014, 06, 06)) { MarketOrder(contract.Symbol, 1); MarketOnCloseOrder(contract.Symbol, -1); } } } } } } /// /// Order fill event handler. On an order fill update the resulting information is passed to this method. /// /// Order event details containing details of the evemts /// This method can be called asynchronously and so should only be used by seasoned C# experts. Ensure you use proper locks on thread-unsafe objects public override void OnOrderEvent(OrderEvent orderEvent) { Log(orderEvent.ToString()); } /// /// 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 Language[] Languages { get; } = { Language.CSharp, Language.Python }; /// /// 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 Trades", "2"}, {"Average Win", "0%"}, {"Average Loss", "0%"}, {"Compounding Annual Return", "0%"}, {"Drawdown", "0%"}, {"Expectancy", "0"}, {"Net Profit", "0%"}, {"Sharpe 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", "0"}, {"Tracking Error", "0"}, {"Treynor Ratio", "0"}, {"Total Fees", "$2.00"}, {"Fitness Score", "0"}, {"Kelly Criterion Estimate", "0"}, {"Kelly Criterion Probability Value", "0"}, {"Sortino Ratio", "79228162514264337593543950335"}, {"Return Over Maximum Drawdown", "-254.23"}, {"Portfolio Turnover", "0"}, {"Total Insights Generated", "0"}, {"Total Insights Closed", "0"}, {"Total Insights Analysis Completed", "0"}, {"Long Insight Count", "0"}, {"Short Insight Count", "0"}, {"Long/Short Ratio", "100%"}, {"Estimated Monthly Alpha Value", "$0"}, {"Total Accumulated Estimated Alpha Value", "$0"}, {"Mean Population Estimated Insight Value", "$0"}, {"Mean Population Direction", "0%"}, {"Mean Population Magnitude", "0%"}, {"Rolling Averaged Population Direction", "0%"}, {"Rolling Averaged Population Magnitude", "0%"}, {"OrderListHash", "1708084857"} }; } }