| Overall Statistics |
|
Total Trades 3 Average Win 0.09% Average Loss 0% Compounding Annual Return -5.143% Drawdown 0.300% Expectancy 0 Net Profit -0.241% Sharpe Ratio -9.206 Probabilistic Sharpe Ratio 0.186% Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha -0.035 Beta 0.001 Annual Standard Deviation 0.004 Annual Variance 0 Information Ratio -15.907 Tracking Error 0.044 Treynor Ratio -64.6 Total Fees $2.00 Estimated Strategy Capacity $0 Lowest Capacity Asset 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, 2, 19);
SetCash(500000);
var option = AddOption("GOOG", Resolution.Minute);
_symbol = option.Symbol;
option.SetFilter(universe => universe.IncludeWeeklys()
.Strikes(-1, 1)
.Expiration(TimeSpan.FromDays(0), TimeSpan.FromDays(62)));
}
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;
// get at-the-money strike
var atmStrike = chain.OrderBy(x => Math.Abs(x.Strike - chain.Underlying.Price)).First().Strike;
// filter the call options from the contracts which is ATM in the option chain.
var calls = chain.Where(x => x.Strike == atmStrike && x.Right == OptionRight.Call);
if (calls.Count() == 0) return;
// sorted the optionchain by expiration date
var expiries = calls.Select(x => x.Expiry).OrderBy(x => x);
// select the farest expiry as far-leg expiry, and the nearest expiry as near-leg expiry
var nearExpiry = expiries.First();
var farExpiry = expiries.Last();
var optionStrategy = OptionStrategies.CallCalendarSpread(_symbol, atmStrike, nearExpiry, farExpiry);
// We open a position with 1 unit of the option strategy
Buy(optionStrategy, 1); // if long call calendar spread
//Sell(optionStrategy, 1); // if short call calendar spread
}
}
}