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quantconnect--lean/Algorithm.Python/CustomOptionExerciseModelRegressionAlgorithm.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 *
from OptionAssignmentRegressionAlgorithm import OptionAssignmentRegressionAlgorithm
### <summary>
### Regression algorithm asserting we can specify a custom option exercise model
### </summary>
class CustomOptionExerciseModelRegressionAlgorithm(OptionAssignmentRegressionAlgorithm):
def initialize(self):
self.set_security_initializer(self.custom_security_initializer)
super().initialize()
def custom_security_initializer(self, security):
if Extensions.is_option(security.symbol.security_type):
security.set_option_exercise_model(CustomExerciseModel())
def on_data(self, data):
super().on_data(data)
class CustomExerciseModel(DefaultExerciseModel):
def option_exercise(self, option: Option, order: OptionExerciseOrder):
order_event = OrderEvent(
order.id,
option.symbol,
Extensions.convert_to_utc(option.local_time, option.exchange.time_zone),
OrderStatus.FILLED,
Extensions.get_order_direction(order.quantity),
0.0,
order.quantity,
OrderFee.ZERO,
"Tag"
)
order_event.is_assignment = False
return [ order_event ]