Overall Statistics
Total Orders
3
Average Win
0%
Average Loss
0%
Compounding Annual Return
-8.407%
Drawdown
0.700%
Expectancy
0
Start Equity
100000
End Equity
99504
Net Profit
-0.496%
Sharpe Ratio
-2.807
Sortino Ratio
-2.191
Probabilistic Sharpe Ratio
12.949%
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
-0.063
Beta
0.172
Annual Standard Deviation
0.027
Annual Variance
0.001
Information Ratio
-0.04
Tracking Error
0.054
Treynor Ratio
-0.438
Total Fees
$3.00
Estimated Strategy Capacity
$87000000.00
Lowest Capacity Asset
GOOCV 30JDODO6600CM|GOOCV VP83T1ZUHROL
Portfolio Turnover
4.19%
#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 ConversionStrategy : QCAlgorithm
    {
        private Symbol _equity;
        private Symbol _symbol;

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

            _equity = AddEquity("GOOG", Resolution.Minute).Symbol;
            var option = AddOption("GOOG", Resolution.Minute);
            _symbol = option.Symbol;
            option.SetFilter(universe => universe.IncludeWeeklys().Conversion(30, -5));
        }

        public override void OnData(Slice slice)
        {
            if (Portfolio.Invested) return;

            // Get the OptionChain of the symbol
            if (!slice.OptionChains.TryGetValue(_symbol, out var chain)) return;

            // sort the optionchain by expiration date and choose the furthest date
            var expiry = chain.OrderBy(x => x.Expiry).Last().Expiry;

            // select ATM strike price
            var strike = chain.OrderBy(x => Math.Abs(x.Strike - chain.Underlying.Price)).First().Strike;

            // Order Strategy
            var conversion = OptionStrategies.Conversion(_symbol, strike, expiry);
            Buy(conversion, 1);
        }

        public override void OnEndOfDay(Symbol symbol)
        {
            if (symbol.Value == "GOOG")
            {
                Log($"{Time}::{symbol}::{Securities[symbol].Price}");
            }
        }
    }
}