/* * 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 { /// /// This is an option split regression algorithm /// /// /// public class OptionRenameRegressionAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition { private Symbol _optionSymbol; public override void Initialize() { // this test opens position in the first day of trading, lives through stock rename (NWSA->FOXA), dividends, and closes adjusted position on the third day SetStartDate(2013, 06, 28); SetEndDate(2013, 07, 02); SetCash(1000000); var option = AddOption("FOXA"); _optionSymbol = option.Symbol; // set our strike/expiry filter for this option chain option.SetFilter(-1, +1, TimeSpan.Zero, TimeSpan.MaxValue); // use the underlying equity as the benchmark SetBenchmark("FOXA"); } /// /// 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) { if (Time.Day == 28 && Time.Hour > 9 && Time.Minute > 0) { OptionChain chain; if (slice.OptionChains.TryGetValue(_optionSymbol, out chain)) { var contract = chain.OrderBy(x => x.Expiry) .Where(x => x.Right == OptionRight.Call && x.Strike == 33 && x.Expiry.Date == new DateTime(2013, 08, 17)) .FirstOrDefault(); if (contract != null) { // Buying option Buy(contract.Symbol, 1); // Buying the underlying stock var underlyingSymbol = contract.Symbol.Underlying; Buy(underlyingSymbol, 100); // checks if (contract.AskPrice != 1.1m) { throw new Exception("Regression test failed: current ask price was not loaded from NWSA backtest file and is not $1.1"); } } } } } else { if (Time.Day == 2 && Time.Hour > 14 && Time.Minute > 0) { // selling positions Liquidate(); // checks OptionChain chain; if (slice.OptionChains.TryGetValue(_optionSymbol, out chain)) { var contract = chain.OrderBy(x => x.Expiry) .Where(x => x.Right == OptionRight.Call && x.Strike == 33 && x.Expiry.Date == new DateTime(2013, 08, 17)) .FirstOrDefault(); if (contract.BidPrice != 0.05m) { throw new Exception("Regression test failed: current bid price was not loaded from FOXA file and is not $0.05"); } } } } } /// /// 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", "4"}, {"Average Win", "0%"}, {"Average Loss", "-0.02%"}, {"Compounding Annual Return", "-0.453%"}, {"Drawdown", "0.000%"}, {"Expectancy", "-1"}, {"Net Profit", "-0.006%"}, {"Sharpe Ratio", "-3.554"}, {"Probabilistic Sharpe Ratio", "0%"}, {"Loss Rate", "100%"}, {"Win Rate", "0%"}, {"Profit-Loss Ratio", "0"}, {"Alpha", "0"}, {"Beta", "0"}, {"Annual Standard Deviation", "0.002"}, {"Annual Variance", "0"}, {"Information Ratio", "-3.554"}, {"Tracking Error", "0.002"}, {"Treynor Ratio", "0"}, {"Total Fees", "$4.00"}, {"Fitness Score", "0.001"}, {"Kelly Criterion Estimate", "0"}, {"Kelly Criterion Probability Value", "0"}, {"Sortino Ratio", "79228162514264337593543950335"}, {"Return Over Maximum Drawdown", "-1.768"}, {"Portfolio Turnover", "0.001"}, {"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", "-932374"} }; } }