| Overall Statistics |
|
Total Orders 4 Average Win 0% Average Loss 0% Compounding Annual Return -14.362% Drawdown 1.000% Expectancy 0 Start Equity 100000 End Equity 99126 Net Profit -0.874% Sharpe Ratio -3.64 Sortino Ratio -2.573 Probabilistic Sharpe Ratio 2.369% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.115 Beta 0.058 Annual Standard Deviation 0.033 Annual Variance 0.001 Information Ratio -0.726 Tracking Error 0.063 Treynor Ratio -2.044 Total Fees $4.00 Estimated Strategy Capacity $2800000.00 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 JellyRollStrategy : 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 jellyRoll = OptionStrategies.JellyRoll(_symbol, strike, nearExpiry, farExpiry);
Buy(jellyRoll, 1);
}
}
}