Overall Statistics
Total Orders
4
Average Win
0%
Average Loss
0%
Compounding Annual Return
-8.130%
Drawdown
0.700%
Expectancy
0
Start Equity
100000
End Equity
99521
Net Profit
-0.479%
Sharpe Ratio
-3.379
Sortino Ratio
-3.833
Probabilistic Sharpe Ratio
12.854%
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
-0.071
Beta
0.032
Annual Standard Deviation
0.022
Annual Variance
0
Information Ratio
-0.004
Tracking Error
0.06
Treynor Ratio
-2.304
Total Fees
$4.00
Estimated Strategy Capacity
$180000.00
Lowest Capacity Asset
GOOCV WJVVYXAVCD6U|GOOCV VP83T1ZUHROL
Portfolio Turnover
0.13%
#region imports
    using System;
    using System.Collections;
    using System.Collections.Generic;
    using System.Linq;
    using System.Globalization;
    using System.Drawing;
    using QuantConnect;
    using QuantConnect.Algorithm.Framework;
    using QuantConnect.Algorithm.Framework.Selection;
    using QuantConnect.Algorithm.Framework.Alphas;
    using QuantConnect.Algorithm.Framework.Portfolio;
    using QuantConnect.Algorithm.Framework.Execution;
    using QuantConnect.Algorithm.Framework.Risk;
    using QuantConnect.Parameters;
    using QuantConnect.Benchmarks;
    using QuantConnect.Brokerages;
    using QuantConnect.Util;
    using QuantConnect.Interfaces;
    using QuantConnect.Algorithm;
    using QuantConnect.Indicators;
    using QuantConnect.Data;
    using QuantConnect.Data.Consolidators;
    using QuantConnect.Data.Custom;
    using QuantConnect.DataSource;
    using QuantConnect.Data.Fundamental;
    using QuantConnect.Data.Market;
    using QuantConnect.Data.UniverseSelection;
    using QuantConnect.Notifications;
    using QuantConnect.Orders;
    using QuantConnect.Orders.Fees;
    using QuantConnect.Orders.Fills;
    using QuantConnect.Orders.Slippage;
    using QuantConnect.Scheduling;
    using QuantConnect.Securities;
    using QuantConnect.Securities.Equity;
    using QuantConnect.Securities.Future;
    using QuantConnect.Securities.Option;
    using QuantConnect.Securities.Forex;
    using QuantConnect.Securities.Crypto;
    using QuantConnect.Securities.Interfaces;
    using QuantConnect.Storage;
    using QuantConnect.Data.Custom.AlphaStreams;
    using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
    using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;
#endregion

namespace QuantConnect.Algorithm.CSharp
{
    public class LongButterflyStrategy : QCAlgorithm
    {
        private Symbol _symbol;

        public override void Initialize()
        {
            SetStartDate(2017, 4, 1);
            SetEndDate(2017, 4, 23);
            SetCash(100000);

            var option = AddOption("GOOG", Resolution.Minute);
            _symbol = option.Symbol;
            option.SetFilter(universe => universe.Strikes(-5, 5)
                                                 .Expiration(TimeSpan.FromDays(0), TimeSpan.FromDays(30)));
        }

        public override void OnData(Slice slice)
        {
            if (Portfolio.Invested ||
            !slice.OptionChains.TryGetValue(_symbol, out var chain))
            {
                return;
            }

            // Select expiry
            var expiry = chain.Max(x => x.Expiry);

            // Separate the call and put contracts
            var calls = chain.Where(x => x.Right == OptionRight.Call  && x.Expiry == expiry);
            var puts = chain.Where(x => x.Right == OptionRight.Put && x.Expiry == expiry);
            if (calls.Count() == 0 || puts.Count() == 0) return;

            // Get the ATM and OTM strike prices
            var atmStrike = calls.OrderBy(x => Math.Abs(x.Strike - chain.Underlying.Price)).First().Strike;
            var otmPutStrike = puts.Min(x => x.Strike);
            var otmCallStrike = 2 * atmStrike - otmPutStrike;

            // Order Strategy
            var ironButterfly = OptionStrategies.IronButterfly(_symbol, otmPutStrike, atmStrike, otmCallStrike, expiry);
            Buy(ironButterfly, 1);
        }
    }
}