| Overall Statistics |
|
Total Trades 4 Average Win 0% Average Loss -0.92% Compounding Annual Return 96.758% Drawdown 1.300% Expectancy -1 Net Profit 5.264% Sharpe Ratio 5.383 Probabilistic Sharpe Ratio 96.479% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.582 Beta 0.426 Annual Standard Deviation 0.116 Annual Variance 0.013 Information Ratio 4.437 Tracking Error 0.118 Treynor Ratio 1.465 Total Fees $2.00 Estimated Strategy Capacity $2800000.00 Lowest Capacity Asset GOOCV WJVVXYW5VKH2|GOOCV VP83T1ZUHROL |
#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 SmoothMagentaCoyote : QCAlgorithm
{
private Symbol _symbol;
public override void Initialize()
{
SetStartDate(2017, 4, 1);
SetEndDate(2017, 4, 30);
SetCash(100000);
var option = AddOption("GOOG", Resolution.Minute);
_symbol = option.Symbol;
option.SetFilter(-5, 5, TimeSpan.FromDays(0), TimeSpan.FromDays(30));
}
public override void OnData(Slice slice)
{
if (Portfolio.Invested) return;
// Get the OptionChain
var chain = slice.OptionChains.get(_symbol, null);
if (chain == null || chain.Count() == 0) return;
// Select an expiration date
var expiry = chain.OrderBy(contract => contract.Expiry).Last().Expiry;
// Select the OTM call strike
var callStrikes = chain.Where(contract => contract.Expiry == expiry
&& contract.Right == OptionRight.Call
&& contract.Strike > chain.Underlying.Price)
.Select(contract => contract.Strike);
if (callStrikes.Count() == 0) return;
var callStrike = callStrikes.Min();
// Select the ITM put strike
var putStrikes = chain.Where(contract => contract.Expiry == expiry
&& contract.Right == OptionRight.Put
&& contract.Strike < chain.Underlying.Price)
.Select(contract => contract.Strike);
if (putStrikes.Count() == 0) return;
var putStrike = putStrikes.Max();
var optionStrategy = OptionStrategies.Strangle(_symbol, callStrike, putStrike, expiry);
Buy(optionStrategy, 1);
}
}
}