| Overall Statistics |
|
Total Trades 3 Average Win 0.22% Average Loss 0% Compounding Annual Return 1.471% Drawdown 1.500% Expectancy 0 Net Profit 0.243% Sharpe Ratio 0.357 Probabilistic Sharpe Ratio 37.744% Loss Rate 0% Win Rate 100% Profit-Loss Ratio 0 Alpha 0.02 Beta 0.09 Annual Standard Deviation 0.03 Annual Variance 0.001 Information Ratio 0.662 Tracking Error 0.164 Treynor Ratio 0.119 Total Fees $2.00 Estimated Strategy Capacity $17000000.00 Lowest Capacity Asset IBM R735QTJ8XC9X |
#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 _equity;
private Symbol _symbol;
public override void Initialize()
{
SetStartDate(2016, 1, 1);
SetEndDate(2016, 3, 1);
SetCash(100000);
_equity = AddEquity("IBM", Resolution.Minute).Symbol;
var option = AddOption("IBM", Resolution.Minute);
_symbol = option.Symbol;
option.SetFilter(universe => universe.Strikes(-3, 3)
.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;
// 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;
// sort the contracts by expiration date
var contracts = calls.OrderBy(x => x.Expiry);
// select the farest expiry as far-leg expiry, and the nearest expiry as near-leg expiry
var contract = contracts.Last();
Sell(contract.Symbol, 1);
Buy(_equity, 100);
}
}
}