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IndexOptionCallButterflyAlgorithm.py 3.09 KB
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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 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)
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