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quantconnect--lean/Algorithm.Python/IndexOptionBearPutSpreadAlgorithm.py
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Python

# 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 IndexOptionBearPutSpreadAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2022, 1, 1)
self.SetEndDate(2022, 7, 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(5, 10).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 bear put spread
bear_put_spread = OptionStrategies.BearPutSpread(self.spxw, puts[-1].Strike, puts[0].Strike, expiry)
self.tickets = self.Buy(bear_put_spread, 1)