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# 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.
#region imports
from AlgorithmImports import *
#endregion
class IndexOptionBearCallSpreadAlgorithm(QCAlgorithm):
def initialize(self):
self.set_start_date(2020, 1, 1)
self.set_end_date(2021, 1, 1)
self.set_cash(100000)
self.spy = self.add_equity("SPY", Resolution.MINUTE).symbol
index = self.add_index("VIX", Resolution.MINUTE).symbol
option = self.add_index_option(index, "VIXW", Resolution.MINUTE)
option.set_filter(lambda x: x.strikes(-5, 5).expiration(15, 45))
self.vixw = option.symbol
self.tickets = []
def on_data(self, slice: Slice) -> None:
if not self.portfolio[self.spy].invested:
self.market_order(self.spy, 100)
# Return if hedge position presents
if any([self.portfolio[x.symbol].invested for x in self.tickets]):
return
# Return if hedge position presents
chain = slice.option_chains.get(self.vixw)
if not chain: return
# Get the nearest expiry date of the contracts
expiry = min([x.expiry for x in chain])
# Select the call Option contracts with the nearest expiry and sort by strike price
calls = sorted([i for i in chain if i.expiry == expiry and i.right == OptionRight.CALL],
key=lambda x: x.strike)
if len(calls) < 2: return
# Buy the bear call spread
bear_call_spread = OptionStrategies.bear_call_spread(self.vixw, calls[0].strike, calls[-1].strike, expiry)
self.tickets = self.buy(bear_call_spread, 1)
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