Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return -31.062% Drawdown 6.500% Expectancy 0 Net Profit -2.978% Sharpe Ratio -1.521 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0.192 Beta -28.925 Annual Standard Deviation 0.204 Annual Variance 0.042 Information Ratio -1.606 Tracking Error 0.204 Treynor Ratio 0.011 Total Fees $1.00 |
# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals. # Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from clr import AddReference AddReference("System") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Indicators") AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Data import * from QuantConnect.Algorithm import * from QuantConnect.Indicators import * import numpy as np from datetime import timedelta ### <summary> ### Demonstration of the Option Chain Provider -- a much faster mechanism for manually specifying the option contracts you'd like to recieve ### data for and manually subscribing to them. ### </summary> ### <meta name="tag" content="strategy example" /> ### <meta name="tag" content="options" /> ### <meta name="tag" content="using data" /> ### <meta name="tag" content="selecting options" /> ### <meta name="tag" content="manual selection" /> class BootCampTask(QCAlgorithm): def Initialize(self): self.SetStartDate(2017, 06, 01) self.SetEndDate(2017, 07, 01) self.SetCash(100000) self.equity = self.AddEquity("AMZN", Resolution.Minute) def OnData(self,data): ''' OptionChainProvider gets a list of option contracts for an underlying symbol at requested date. Then you can manually filter the contract list returned by GetOptionContractList. The manual filtering will be limited to the information included in the Symbol (strike, expiration, type, style) and/or prices from a History call ''' if not self.Portfolio.Invested: contracts = self.OptionChainProvider.GetOptionContractList(self.equity.Symbol, data.Time) self.underlyingPrice = self.Securities[self.equity.Symbol].Price # filter the out-of-money call options from the contract list which expire in 10 to 30 days from now on otm_calls = [i for i in contracts if i.ID.OptionRight == OptionRight.Call and i.ID.StrikePrice - self.underlyingPrice > 0 and 10 < (i.ID.Date - data.Time).days < 30] if len(otm_calls) > 0: contract = sorted(sorted(otm_calls, key = lambda x: x.ID.Date), key = lambda x: x.ID.StrikePrice - self.underlyingPrice)[0] # Before placing the order, use AddOptionContract() to subscribe the requested contract symbol self.AddOptionContract(contract, Resolution.Minute) self.MarketOrder(contract, -1) self.MarketOrder(self.equity.Symbol, 100)