# 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 AlgorithmImports import * class IndexOptionBullPutSpreadAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2019, 1, 1) self.SetEndDate(2020, 1, 1) self.SetCash(100000) index = self.AddIndex("SPX", Resolution.Minute).Symbol option = self.AddIndexOption(index, "SPXW", Resolution.Minute) option.SetFilter(lambda x: x.WeeklysOnly().Strikes(-10, -5).Expiration(0, 0)) self.spxw = option.Symbol self.tickets = [] def OnData(self, slice: Slice) -> None: # Return if open position exists if any([self.Portfolio[x.Symbol].Invested for x in self.tickets]): return # Get option chain chain = slice.OptionChains.get(self.spxw) if not chain: return # Get the nearest expiry date of the contracts expiry = min([x.Expiry for x in chain]) # Select the put Option contracts with the nearest expiry and sort by strike price puts = sorted([i for i in chain if i.Expiry == expiry and i.Right == OptionRight.Put], key=lambda x: x.Strike) if len(puts) < 2: return # Buy the bull put spread bull_call_spread = OptionStrategies.BullPutSpread(self.spxw, puts[-1].Strike, puts[0].Strike, expiry) self.tickets = self.Buy(bull_call_spread, 1)