| Overall Statistics |
|
Total Trades 3 Average Win 0% Average Loss 0% Compounding Annual Return -3.007% Drawdown 0.300% Expectancy 0 Net Profit -0.256% Sharpe Ratio -2.135 Probabilistic Sharpe Ratio 11.984% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.016 Beta -0.063 Annual Standard Deviation 0.006 Annual Variance 0 Information Ratio -7.913 Tracking Error 0.062 Treynor Ratio 0.218 Total Fees $3.00 Estimated Strategy Capacity $710000.00 Lowest Capacity Asset GOOCV WIJN1A64I33A|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, 2, 1);
SetEndDate(2017, 3, 5);
SetCash(500000);
var option = AddOption("GOOG", Resolution.Minute);
_symbol = option.Symbol;
option.SetFilter(universe => universe.IncludeWeeklys()
.Strikes(-15, 15)
.Expiration(TimeSpan.FromDays(0), TimeSpan.FromDays(31)));
}
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;
// sorted the optionchain by expiration date and choose the furthest date
var expiry = chain.OrderByDescending(x => x.Expiry).First().Expiry;
// filter the call options from the contracts which expire on the furthest expiration date in the option chain.
var calls = chain.Where(x => x.Expiry == expiry && x.Right == OptionRight.Call);
if (calls.Count() == 0) return;
// sort the call options with the same expiration date according to their strike price.
var callStrikes = calls.Select(x => x.Strike).OrderBy(x => x);
// get at-the-money strike
var atmStrike = calls.OrderBy(x => Math.Abs(x.Strike - chain.Underlying.Price)).First().Strike;
// Get the distance between lowest strike price and ATM strike, and highest strike price and ATM strike.
// Get the lower value as the spread distance as equidistance is needed for both side.
var spread = Math.Min(Math.Abs(callStrikes.First() - atmStrike), Math.Abs(callStrikes.Last() - atmStrike));
// select the strike prices for forming the option legs
var itmStrike = atmStrike - spread;
var otmStrike = atmStrike + spread;
var optionStrategy = OptionStrategies.CallButterfly(_symbol, otmStrike, atmStrike, itmStrike, expiry);
// We open a position with 1 unit of the option strategy
Buy(optionStrategy, 1); // if long call butterfly
//Sell(optionStrategy, 1); // if short call butterfly
}
}
}