| Overall Statistics |
|
Total Trades 12 Average Win 0.39% Average Loss -0.49% Compounding Annual Return -0.356% Drawdown 0.300% Expectancy 0.084 Net Profit -0.028% Sharpe Ratio 0.598 Probabilistic Sharpe Ratio 44.735% Loss Rate 40% Win Rate 60% Profit-Loss Ratio 0.81 Alpha 0.031 Beta -0.043 Annual Standard Deviation 0.009 Annual Variance 0 Information Ratio -10.227 Tracking Error 0.058 Treynor Ratio -0.117 Total Fees $8.00 Estimated Strategy Capacity $26000.00 Lowest Capacity Asset GOOCV WI5UT0KFGMO6|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, 1);
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;
// sort the contracts by strike prices
var callContracts = calls.OrderByDescending(x => x.Strike);
var putContracts = puts.OrderBy(x => x.Strike);
// Get the nearer OTM contracts by strike prices
var farCallContract = callContracts.First();
var farPutContract = putContracts.First();
var nearCallContract = callContracts.Skip(2).First();
var nearPutContract = putContracts.Skip(2).First();
var legs = new List<Leg>
{
Leg.Create(nearCallContract.Symbol, 1),
Leg.Create(nearPutContract.Symbol, 1),
Leg.Create(farCallContract.Symbol, -1),
Leg.Create(farPutContract.Symbol, -1)
};
ComboMarketOrder(legs, 1);
}
}
}