| Overall Statistics |
|
Total Trades 4 Average Win 0.77% Average Loss 0% Compounding Annual Return -52.972% Drawdown 7.500% Expectancy -0.5 Net Profit -5.558% Sharpe Ratio -3.45 Probabilistic Sharpe Ratio 0.053% Loss Rate 50% Win Rate 50% Profit-Loss Ratio 0 Alpha -0.37 Beta -0.397 Annual Standard Deviation 0.119 Annual Variance 0.014 Information Ratio -3.491 Tracking Error 0.146 Treynor Ratio 1.033 Total Fees $2.00 Estimated Strategy Capacity $250000.00 Lowest Capacity Asset GOOCV WJVVXYW5VKH2|GOOCV VP83T1ZUHROL Portfolio Turnover 3.02% |
#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 ShortStrangleAlgorithm : QCAlgorithm
{
private Symbol _symbol;
public override void Initialize()
{
SetStartDate(2017, 4, 1);
SetEndDate(2017, 4, 30);
SetCash(100000);
var option = AddOption("GOOG");
_symbol = option.Symbol;
option.SetFilter(-5, 5, 0, 30);
}
public override void OnData(Slice slice)
{
if (Portfolio.Invested ||
!slice.OptionChains.TryGetValue(_symbol, out var chain))
{
return;
}
// Find options with the farthest expiry
var expiry = chain.Max(contract => contract.Expiry);
var contracts = chain.Where(contract => contract.Expiry == expiry).ToList();
// Order the OTM calls by strike to find the nearest to ATM
var callContracts = contracts
.Where(contract => contract.Right == OptionRight.Call &&
contract.Strike > chain.Underlying.Price)
.OrderBy(contract => contract.Strike).ToArray();
if (callContracts.Length == 0) return;
// Order the OTM puts by strike to find the nearest to ATM
var putContracts = contracts
.Where(contract => contract.Right == OptionRight.Put &&
contract.Strike < chain.Underlying.Price)
.OrderByDescending(contract => contract.Strike).ToArray();
if (putContracts.Length == 0) return;
var callStrike = callContracts[0].Strike;
var putStrike = putContracts[0].Strike;
var shortStrangle = OptionStrategies.ShortStrangle(_symbol, callStrike, putStrike, expiry);
Buy(shortStrangle, 1);
}
}
}