| Overall Statistics |
|
Total Orders 6 Average Win 0.59% Average Loss -2.87% Compounding Annual Return -24.373% Drawdown 6.900% Expectancy -0.397 Net Profit -4.537% Sharpe Ratio -2.13 Sortino Ratio -1.796 Probabilistic Sharpe Ratio 5.538% Loss Rate 50% Win Rate 50% Profit-Loss Ratio 0.21 Alpha -0.196 Beta 0.051 Annual Standard Deviation 0.083 Annual Variance 0.007 Information Ratio -2.758 Tracking Error 0.197 Treynor Ratio -3.48 Total Fees $4.00 Estimated Strategy Capacity $6000.00 Lowest Capacity Asset GOOCV XG8PSNPNECFA|GOOCV VP83T1ZUHROL Portfolio Turnover 10.07% |
#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.Algorithm.Selection;
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 QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm;
using QCAlgorithmFrameworkBridge = QuantConnect.Algorithm.QCAlgorithm;
#endregion
using QuantConnect.DataSource;
namespace QuantConnect
{
public class USEquityOptionsDataAlgorithm : QCAlgorithm
{
private Symbol _underlying;
private Symbol _optionSymbol;
private OptionContract? _contract = null;
public override void Initialize()
{
SetStartDate(2020, 6, 1);
SetEndDate(2020, 8, 1);
SetCash(100000);
UniverseSettings.Asynchronous = true;
// Requesting data
_underlying = AddEquity("GOOG").Symbol;
var option = AddOption("GOOG");
_optionSymbol = option.Symbol;
// Set our strike/expiry filter for this option chain
option.SetFilter(-2, +2, 0, 7);
}
public override void OnData(Slice slice)
{
if (Portfolio[_underlying].Invested)
{
Liquidate(_underlying);
}
if (_contract != null && Portfolio[_contract.Symbol].Invested)
{
return;
}
var chain = slice.OptionChains.get(_optionSymbol);
if (chain != null)
{
// Select call contracts
var calls = chain.Where(x => x.Right == OptionRight.Call).ToList();
if (calls.Count() == 0)
{
return;
}
// Select the call contracts with the furthest expiration
var furthestExpiry = calls.OrderByDescending(x => x.Expiry).First().Expiry;
var furthestExpiryCalls = calls.Where(x => x.Expiry == furthestExpiry).ToList();
// From the remaining contracts, select the one with its strike closest to the underlying price
var contract = furthestExpiryCalls.OrderByDescending(x => Math.Abs(chain.Underlying.Price - x.Strike)).Last();
_contract = contract;
MarketOrder(contract.Symbol, 1);
}
}
public override void OnSecuritiesChanged(SecurityChanges changes)
{
foreach (var security in changes.AddedSecurities)
{
// Historical data
var history = History(security.Symbol, 100, Resolution.Minute);
Debug($"We got {history.Count()} from our history request for {security.Symbol}");
}
}
}
}