| Overall Statistics |
|
Total Orders 4 Average Win 0% Average Loss 0% Compounding Annual Return -14.227% Drawdown 1.300% Expectancy 0 Start Equity 100000 End Equity 99134.8 Net Profit -0.865% Sharpe Ratio -3.211 Sortino Ratio -2.581 Probabilistic Sharpe Ratio 7.142% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.108 Beta 0.139 Annual Standard Deviation 0.037 Annual Variance 0.001 Information Ratio -0.732 Tracking Error 0.061 Treynor Ratio -0.85 Total Fees $5.20 Estimated Strategy Capacity $21000.00 Lowest Capacity Asset GOOCV WJVVXYXTEWYU|GOOCV VP83T1ZUHROL Portfolio Turnover 0.20% |
#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 ShortIronCondorStrategy : 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 || !IsMarketOpen(_symbol) ||
!slice.OptionChains.TryGetValue(_symbol, out var chain))
{
return;
}
// Find put and call contracts with the farthest expiry
var expiry = chain.Max(x => x.Expiry);
var contracts = chain.Where(x => x.Expiry == expiry).OrderBy(x => x.Strike);
var putContracts = contracts.Where(x => x.Right == OptionRight.Put).ToArray();
var callContracts = contracts.Where(x => x.Right == OptionRight.Call).ToArray();
if (putContracts.Length < 3 || callContracts.Length < 3) return;
// Select the strategy legs
var nearCall = callContracts[^3];
var farCall = callContracts[^1];
var nearPut = putContracts[2];
var farPut = putContracts.Single(x => x.Strike == nearPut.Strike - farCall.Strike + nearCall.Strike);
// Order Strategy
var shortIronCondor = OptionStrategies.ShortIronCondor(
_symbol,
farPut.Strike,
nearPut.Strike,
nearCall.Strike,
farCall.Strike,
expiry);
Buy(shortIronCondor, 2);
}
}
}