quantconnect--lean/Algorithm.CSharp/BasicTemplateOptionStrategyAlgorithm.cs

/*
 * 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.Interfaces;
using QuantConnect.Orders;
using QuantConnect.Securities.Option;

namespace QuantConnect.Algorithm.CSharp
{
    /// <summary>
    /// This algorithm demonstrate how to use Option Strategies (e.g. OptionStrategies.Straddle) helper classes to batch send orders for common strategies.
    /// It also shows how you can prefilter contracts easily based on strikes and expirations, and how you can inspect the
    /// option chain to pick a specific option contract to trade.
    /// </summary>
    /// <meta name="tag" content="using data" />
    /// <meta name="tag" content="options" />
    /// <meta name="tag" content="option strategies" />
    /// <meta name="tag" content="filter selection" />
    public class BasicTemplateOptionStrategyAlgorithm : QCAlgorithm, IRegressionAlgorithmDefinition
    {
        private Symbol _optionSymbol;

        public override void Initialize()
        {
            SetStartDate(2015, 12, 24);
            SetEndDate(2015, 12, 24);
            SetCash(1000000);

            var option = AddOption("GOOG");
            _optionSymbol = option.Symbol;

            // set our strike/expiry filter for this option chain
            // SetFilter method accepts TimeSpan objects or integer for days.
            // The following statements yield the same filtering criteria
            option.SetFilter(u => u.StandardsOnly()
                                   .Strikes(-2, +2)
                                   .Expiration(0, 180));

            // Adding this to reproduce GH issue #2314
            SetWarmup(TimeSpan.FromMinutes(1));

            // use the underlying equity as the benchmark
            SetBenchmark("GOOG");
        }

        public override void OnData(Slice slice)
        {
            if (!Portfolio.Invested)
            {
                OptionChain chain;
                if (slice.OptionChains.TryGetValue(_optionSymbol, out chain))
                {
                    var atmStraddle = chain
                        .OrderBy(x => Math.Abs(chain.Underlying.Price - x.Strike))
                        .ThenByDescending(x => x.Expiry)
                        .FirstOrDefault();

                    if (atmStraddle != null)
                    {
                        Sell(OptionStrategies.Straddle(_optionSymbol, atmStraddle.Strike, atmStraddle.Expiry), 2);
                    }
                }
            }
            else
            {
                Liquidate();
            }

            foreach (var kpv in slice.Bars)
            {
                Log($"---> OnData: {Time}, {kpv.Key.Value}, {kpv.Value.Close:0.00}");
            }
        }

        /// <summary>
        /// Order fill event handler. On an order fill update the resulting information is passed to this method.
        /// </summary>
        /// <param name="orderEvent">Order event details containing details of the events</param>
        /// <remarks>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</remarks>
        public override void OnOrderEvent(OrderEvent orderEvent)
        {
            Log(orderEvent.ToString());
        }

        /// <summary>
        /// This is used by the regression test system to indicate if the open source Lean repository has the required data to run this algorithm.
        /// </summary>
        public bool CanRunLocally { get; } = true;

        /// <summary>
        /// This is used by the regression test system to indicate which languages this algorithm is written in.
        /// </summary>
        public List<Language> Languages { get; } = new() { Language.CSharp };

        /// <summary>
        /// Data Points count of all timeslices of algorithm
        /// </summary>
        public long DataPoints => 15130;

        /// <summary>
        /// Data Points count of the algorithm history
        /// </summary>
        public int AlgorithmHistoryDataPoints => 0;

        /// <summary>
        /// Final status of the algorithm
        /// </summary>
        public AlgorithmStatus AlgorithmStatus => AlgorithmStatus.Completed;

        /// <summary>
        /// This is used by the regression test system to indicate what the expected statistics are from running the algorithm
        /// </summary>
        public Dictionary<string, string> ExpectedStatistics => new Dictionary<string, string>
        {
            {"Total Orders", "420"},
            {"Average Win", "0%"},
            {"Average Loss", "0%"},
            {"Compounding Annual Return", "0%"},
            {"Drawdown", "0%"},
            {"Expectancy", "0"},
            {"Start Equity", "1000000"},
            {"End Equity", "952636.6"},
            {"Net Profit", "0%"},
            {"Sharpe Ratio", "0"},
            {"Sortino 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", "$543.40"},
            {"Estimated Strategy Capacity", "$4000.00"},
            {"Lowest Capacity Asset", "GOOCV W78ZFMEBFLDY|GOOCV VP83T1ZUHROL"},
            {"Portfolio Turnover", "338.60%"},
            {"Drawdown Recovery", "0"},
            {"OrderListHash", "8229716b93428dc885cf856b4cc9fc35"}
        };
    }
}