Overall Statistics
Total Orders
4
Average Win
0%
Average Loss
0%
Compounding Annual Return
-14.666%
Drawdown
1.000%
Expectancy
0
Start Equity
100000
End Equity
99106
Net Profit
-0.894%
Sharpe Ratio
-3.673
Sortino Ratio
-2.445
Probabilistic Sharpe Ratio
2.084%
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
-0.118
Beta
0.048
Annual Standard Deviation
0.033
Annual Variance
0.001
Information Ratio
-0.754
Tracking Error
0.064
Treynor Ratio
-2.549
Total Fees
$4.00
Estimated Strategy Capacity
$4000000.00
Lowest Capacity Asset
GOOCV 30JDODOEFOQTI|GOOCV VP83T1ZUHROL
Portfolio Turnover
0.40%
#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 ShortJellyRollStrategy : 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.IncludeWeeklys().Strikes(-5, 5).Expiration(30, 60));
        }

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

            // Select expiry dates and strike price
            var strike = chain.OrderBy(x => Math.Abs(chain.Underlying.Price - x.Strike)).First().Strike;
            var contracts = chain.Where(x => x.Strike == strike).ToList();
            var farExpiry = contracts.Max(x => x.Expiry);
            var nearExpiry = contracts.Min(x => x.Expiry);

            // Order Strategy
            var shortJellyRoll = OptionStrategies.ShortJellyRoll(_symbol, strike, nearExpiry, farExpiry);
            Buy(shortJellyRoll, 1);
        }
    }
}