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copilot/find-syntax-test-issue
dynamic-cache-mock-20230220
bug-milk-class-3-future-options-expiration
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feature-ib-fa-groups
feature-python-dataframe-performance-2
feature-notebook-engine
bug-4764-option-auto-exercise-early-market-close-regression-algorithm
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performance-nary-tree-synchronizer
feature-optimize-python-load
feature-1093-vwap-order-type
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Lean
/
Algorithm.Python
/
AddOptionContractExpiresRegressionAlg...
Lean
/
Algorithm.Python
/
AddOptionContractExpiresRegressionAlg...
AddOptionContractExpiresRegressionAlgorithm.py 2.80 KB
一键复制 编辑 原始数据 按行查看 历史
Jhonathan Abreu 提交于 2025年05月09日 06:06 +08:00 . More Python syntax check improvements (#8758)
# 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>
### We add an option contract using 'QCAlgorithm.add_option_contract' and place a trade, the underlying
### gets deselected from the universe selection but should still be present since we manually added the option contract.
### Later we call 'QCAlgorithm.remove_option_contract' and expect both option and underlying to be removed.
### </summary>
class AddOptionContractExpiresRegressionAlgorithm(QCAlgorithm):
def initialize(self):
'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
self.set_start_date(2014, 6, 5)
self.set_end_date(2014, 6, 30)
self._expiration = datetime(2014, 6, 21)
self._option = None
self._traded = False
self._twx = Symbol.create("TWX", SecurityType.EQUITY, Market.USA)
self.add_universe("my-daily-universe-name", self.selector)
def selector(self, time):
return [ "AAPL" ]
def on_data(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
Arguments:
data: Slice object keyed by symbol containing the stock data
'''
if self._option == None:
chain = self.option_chain(self._twx)
options = sorted(chain, key=lambda x: x.id.symbol)
option = next((option
for option in options
if option.id.date == self._expiration and
option.id.option_right == OptionRight.CALL and
option.id.option_style == OptionStyle.AMERICAN), None)
if option != None:
self._option = self.add_option_contract(option).symbol
if self._option != None and self.securities[self._option].price != 0 and not self._traded:
self._traded = True
self.buy(self._option, 1)
if self.time > self._expiration and self.securities[self._twx].invested:
# we liquidate the option exercised position
self.liquidate(self._twx)
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