# 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 = self.portfolio.total_portfolio_value // price self.tickets = self.buy(call_butterfly, quantity, asynchronous=True)