| Overall Statistics |
|
Total Trades 4 Average Win 0% Average Loss -2.34% Compounding Annual Return 11.544% Drawdown 7.200% Expectancy -1 Net Profit 2.751% Sharpe Ratio 0.721 Probabilistic Sharpe Ratio 42.918% Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.008 Beta 1.053 Annual Standard Deviation 0.12 Annual Variance 0.014 Information Ratio -0.037 Tracking Error 0.101 Treynor Ratio 0.082 Total Fees $2.00 Estimated Strategy Capacity $85000.00 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 SmoothMagentaCoyote : QCAlgorithm
{
private Symbol _symbol;
public override void Initialize()
{
SetStartDate(2017, 4, 1);
SetEndDate(2017, 6, 30);
SetCash(100000);
var option = AddOption("GOOG", Resolution.Minute);
_symbol = option.Symbol;
option.SetFilter(-1, 1, TimeSpan.FromDays(30), TimeSpan.FromDays(60));
}
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// Slice object keyed by symbol containing the stock data
public override void OnData(Slice slice)
{
if (Portfolio.Invested) return;
// Get the OptionChain
var chain = slice.OptionChains.get(_symbol, null);
if (chain == null || chain.Count() == 0) return;
// Select an expiration date
var expiry = chain.OrderBy(contract => contract.Expiry).Last().Expiry;
// Select the ATM strike price
var strike = chain.Where(contract => contract.Expiry == expiry)
.Select(contract => contract.Strike)
.OrderBy(strike => Math.Abs(strike - chain.Underlying.Price))
.First();
var optionStrategy = OptionStrategies.Straddle(_symbol, strike, expiry);
Buy(optionStrategy, 1);
}
}
}