# 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 IndexOptionCallButterflyAlgorithm(QCAlgorithm):

 def initialize(self):
 self.set_start_date(2020, 1, 1)
 self.set_end_date(2021, 1, 1)
 self.set_cash(1000000)

 self.vxz = self.add_equity("VXZ", Resolution.MINUTE).symbol

 index = self.add_index("SPX", Resolution.MINUTE).symbol
 option = self.add_index_option(index, "SPXW", Resolution.MINUTE)
 option.set_filter(lambda x: x.include_weeklys().strikes(-3, 3).expiration(15, 45))

 self.spxw = option.symbol
 self.multiplier = option.symbol_properties.contract_multiplier
 self.tickets = []

 def on_data(self, slice: Slice) -> None:
 # The order of magnitude per SPXW order's value is 10000 times of VXZ
 if not self.portfolio[self.vxz].invested:
 self.market_order(self.vxz, 10000)
 
 # Return if any opening index option position
 if any([self.portfolio[x.symbol].invested for x in self.tickets]): return

 # Get the OptionChain
 chain = slice.option_chains.get(self.spxw)
 if not chain: return

 # Get nearest expiry date
 expiry = min([x.expiry for x in chain])
 
 # Select the call Option contracts with nearest expiry and sort by strike price
 calls = [x for x in chain if x.expiry == expiry and x.right == OptionRight.CALL]
 if len(calls) < 3: return
 sorted_call_strikes = sorted([x.strike for x in calls])

 # Select ATM call
 atm_strike = min([abs(x - chain.underlying.value) for x in sorted_call_strikes])

 # Get the strike prices for the ITM & OTM contracts, make sure they're in equidistance
 spread = min(atm_strike - sorted_call_strikes[0], sorted_call_strikes[-1] - atm_strike)
 itm_strike = atm_strike - spread
 otm_strike = atm_strike + spread
 if otm_strike not in sorted_call_strikes or itm_strike not in sorted_call_strikes: return
 
 # Buy the call butterfly
 call_butterfly = OptionStrategies.call_butterfly(self.spxw, otm_strike, atm_strike, itm_strike, expiry)
 price = sum([abs(self.securities[x.symbol].price * x.quantity) * self.multiplier for x in call_butterfly.underlying_legs])
 if price > 0:
 quantity = int(self.portfolio.total_portfolio_value // price)
 self.tickets = self.buy(call_butterfly, quantity, asynchronous=True)