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

41 lines
1.7 KiB
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 *
### <summary>
### Regression algorithm asserting we can specify a custom option assignment
### </summary>
class CustomOptionAssignmentRegressionAlgorithm(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):
# we have to be 10% in the money to get assigned
security.set_option_assignment_model(PyCustomOptionAssignmentModel(0.1))
def on_data(self, data):
super().on_data(data)
class PyCustomOptionAssignmentModel(DefaultOptionAssignmentModel):
def __init__(self, required_in_the_money_percent):
super().__init__(required_in_the_money_percent)
def get_assignment(self, parameters):
result = super().get_assignment(parameters)
result.tag = "Custom Option Assignment"
return result