| Overall Statistics |
|
Total Trades 8 Average Win 0.77% Average Loss -0.23% Compounding Annual Return -56.028% Drawdown 9.600% Expectancy 1.194 Net Profit -8.542% Sharpe Ratio -4.068 Probabilistic Sharpe Ratio 0.000% Loss Rate 50% Win Rate 50% Profit-Loss Ratio 3.39 Alpha -0.396 Beta -0.328 Annual Standard Deviation 0.107 Annual Variance 0.011 Information Ratio -4.364 Tracking Error 0.127 Treynor Ratio 1.327 Total Fees $4.00 Estimated Strategy Capacity $140000.00 Lowest Capacity Asset GOOCV 30IZW4DA2M6KM|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, 10);
SetCash(100000);
var option = AddOption("GOOG", Resolution.Minute);
_symbol = option.Symbol;
option.SetFilter(universe => universe.Strikes(-10, 10)
.Expiration(TimeSpan.FromDays(0), TimeSpan.FromDays(30)));
}
public override void OnData(Slice slice)
{
if (Portfolio.Invested) return;
// Get the OptionChain of the symbol
var chain = slice.OptionChains.get(_symbol, null);
if (chain == null || chain.Count() == 0) return;
// filter the call options from the contracts which is ATM in the option chain.
var calls = chain.Where(x => x.Right == OptionRight.Call);
var puts = chain.Where(x => x.Right == OptionRight.Put);
if (calls.Count() == 0 || puts.Count() == 0) return;
// get at-the-money strike
var atmStrike = chain.OrderBy(x => Math.Abs(x.Strike - chain.Underlying.Price)).First().Strike;
// Get the furthest OTM contracts by strike prices
var otmCallContract = calls.OrderBy(x => x.Strike).Last();
var otmPutContract = puts.OrderBy(x => x.Strike).First();
// Get ATM contracts
var atmCallContract = calls.Where(x => x.Strike == atmStrike).First();
var atmPutsContract = puts.Where(x => x.Strike == atmStrike).First();
// Sell 1 ATM Put
Sell(atmPutsContract.Symbol, 1);
// Sell 1 ATM Call
Sell(atmCallContract.Symbol, 1);
// Buy 1 OTM Call
Buy(otmCallContract.Symbol, 1);
// Buy 1 OTM Put
Buy(otmPutContract.Symbol, 1);
}
}
}