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quantconnect--lean/Algorithm.Python/FutureOptionDailyRegressionAlgorithm.py
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2026-07-13 13:02:50 +08:00

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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 *
### <summary>
### This regression algorithm tests using FutureOptions daily resolution
### </summary>
class FutureOptionDailyRegressionAlgorithm(QCAlgorithm):
def initialize(self):
self.set_start_date(2020, 1, 6)
self.set_end_date(2020, 1, 8)
resolution = Resolution.DAILY
# Add our underlying future contract
self.es = self.add_future_contract(
Symbol.create_future(
Futures.Indices.SP_500_E_MINI,
Market.CME,
datetime(2020, 3, 20)
),
resolution).symbol
# Attempt to fetch a specific ITM future option contract
es_options = [
self.add_future_option_contract(x, resolution).symbol
for x in self.option_chain(self.es)
if x.id.strike_price == 3200 and x.id.option_right == OptionRight.CALL
]
self.es_option = es_options[0]
# Validate it is the expected contract
expected_contract = Symbol.create_option(self.es, Market.CME, OptionStyle.AMERICAN, OptionRight.CALL, 3200, datetime(2020, 3, 20))
if self.es_option != expected_contract:
raise AssertionError(f"Contract {self.es_option} was not the expected contract {expected_contract}")
# On daily resolution the order fills at the daily close, so buy on the first day with available data and
# liquidate the next day, once the purchase has filled at the previous close
self.schedule.on(self.date_rules.on(2020, 1, 7), self.time_rules.at(10,0,0), self.schedule_callback_buy)
self.schedule.on(self.date_rules.on(2020, 1, 8), self.time_rules.at(14,0,0), self.schedule_callback_liquidate)
def schedule_callback_buy(self):
self.market_order(self.es_option, 1)
def on_data(self, slice):
# Assert we are only getting data at 4PM NY, for ES future market closes at 16pm NY
if slice.time.hour != 17:
raise AssertionError(f"Expected data at 5PM each day; instead was {slice.time}")
def schedule_callback_liquidate(self):
self.liquidate()
def on_end_of_algorithm(self):
if self.portfolio.invested:
raise AssertionError(f"Expected no holdings at end of algorithm, but are invested in: {', '.join([str(i.id) for i in self.portfolio.keys()])}")