| Overall Statistics |
|
Total Orders 3 Average Win 0% Average Loss 0% Compounding Annual Return -11.793% Drawdown 1.200% Expectancy 0 Start Equity 100000 End Equity 99292 Net Profit -0.708% Sharpe Ratio -2.439 Sortino Ratio -1.913 Probabilistic Sharpe Ratio 15.778% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.122 Beta -0.303 Annual Standard Deviation 0.041 Annual Variance 0.002 Information Ratio -0.318 Tracking Error 0.084 Treynor Ratio 0.33 Total Fees $3.00 Estimated Strategy Capacity $68000.00 Lowest Capacity Asset GOOCV WJVVXYUIC7ZA|GOOCV VP83T1ZUHROL Portfolio Turnover 0.19% |
#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 BullCallLadderStrategy : QCAlgorithm
{
private Symbol _symbol;
public override void Initialize()
{
SetStartDate(2017, 4, 1);
SetEndDate(2017, 4, 23);
SetCash(100000);
var option = AddOption("GOOG", Resolution.Minute);
_symbol = option.Symbol;
option.SetFilter(universe => universe.Strikes(-5, 5).Expiration(0, 30));
}
public override void OnData(Slice slice)
{
if (Portfolio.Invested ||
!slice.OptionChains.TryGetValue(_symbol, out var chain))
{
return;
}
// Select the call Option contracts with the furthest expiry
var expiry = chain.Max(x => x.Expiry);
var calls = chain.Where(x => x.Expiry == expiry && x.Right == OptionRight.Call);
if (calls.Count() == 0) return;
// Select the strike prices from the remaining contracts
var strikes = calls.Select(x => x.Strike).Distinct().OrderBy(x => x).ToList();
if (strikes.Count < 3)
{
return;
}
var lowStrike = strikes[0];
var middleStrike = strikes[1];
var highStrike = strikes[2];
// Order Strategy
var optionStrategy = OptionStrategies.BullCallLadder(_symbol, lowStrike, middleStrike, highStrike, expiry);
Buy(optionStrategy, 1);
}
}
}