| Overall Statistics |
|
Total Trades 9 Average Win 1.97% Average Loss -1.50% Compounding Annual Return -6.585% Drawdown 1.100% Expectancy -0.074 Net Profit -1.107% Sharpe Ratio -3.299 Probabilistic Sharpe Ratio 0.217% Loss Rate 60% Win Rate 40% Profit-Loss Ratio 1.32 Alpha -0.04 Beta -0.057 Annual Standard Deviation 0.014 Annual Variance 0 Information Ratio -2.325 Tracking Error 0.068 Treynor Ratio 0.813 Total Fees $6.00 Estimated Strategy Capacity $25000.00 Lowest Capacity Asset GOOCV WKNGGL4W0OYU|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 BearPutSpreadStrategy : QCAlgorithm
{
private Symbol _symbol;
public override void Initialize()
{
SetStartDate(2017, 4, 1);
SetEndDate(2017, 5, 30);
SetCash(150000);
var option = AddOption("GOOG", Resolution.Minute);
_symbol = option.Symbol;
option.SetFilter(-9, 9, TimeSpan.FromDays(30), TimeSpan.FromDays(60));
}
public override void OnData(Slice slice)
{
// avoid extra orders
if (Portfolio.Invested) return;
// Get the OptionChain of the symbol
var chain = slice.OptionChains.get(_symbol, null);
if (chain == null || chain.Count() == 0) return;
// sorted the optionchain by expiration date and choose the furthest date
var expiry = chain.OrderBy(x => x.Expiry).Last().Expiry;
// filter the call options from the contracts expires on that date
var calls = chain.Where(x => x.Expiry == expiry && x.Right == OptionRight.Call);
// sorted the contracts according to their strike prices
var callContracts = calls.OrderBy(x => x.Strike);
if (callContracts.Count() == 0) return;
// choose OTM call
var otmCall = callContracts.Last();
// choose ITM call
var itmCall = callContracts.First();
// choose ATM call
var atmCall = callContracts.OrderBy(x => Math.Abs(chain.Underlying.Price - x.Strike)).First();
Sell(atmCall.Symbol, 2);
Buy(itmCall.Symbol, 1);
Buy(otmCall.Symbol, 1);
}
}
}