Implement OptionExerciseModelPythonWrapper.cs (#7193)
Regression Tests / build (push) Has been cancelled
Benchmarks / build (push) Has been cancelled
Build & Test Lean / build (push) Has been cancelled
Research Regression Tests / build (push) Has been cancelled
Python Virtual Environments / build (push) Has been cancelled
Regression Tests / build (push) Has been cancelled
Benchmarks / build (push) Has been cancelled
Build & Test Lean / build (push) Has been cancelled
Research Regression Tests / build (push) Has been cancelled
Python Virtual Environments / build (push) Has been cancelled
* Implement `OptionExerciseModelPythonWrapper.cs` - Modifiy `Option.cs` to set the automatic exercise model, even if it's a python custom option model exercise model - Add `QuantConnect.Orders.OptionExercise` in `AlgorithmImports.py` - Add regression algorithms in C# and Python showing how to specify a custom option exercise model * Address required changes - Remove unnecessary constructor in ´CustomOptionExerciseModelRegressionAlgorithm.cs´ - Change `.Dispose()` in `OptionExerciseModelPythonWrapper.OptionExercise(9` to ´using´ keyword - Change `Option.SetOptionExerciseModel()` XML docs * Minor tweaks * Update CustomOptionExerciseModelRegressionAlgorithm.cs --------- Co-authored-by: Martin-Molinero <martin@quantconnect.com>
This commit is contained in:
committed by
GitHub
parent
430b30b2ac
commit
02e54d0242
@@ -0,0 +1,46 @@
|
||||
# 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 QuantConnect.Algorithm.CSharp import *
|
||||
|
||||
### <summary>
|
||||
### Regression algorithm asserting we can specify a custom option exercise model
|
||||
### </summary>
|
||||
class CustomOptionExerciseModelRegressionAlgorithm(OptionAssignmentRegressionAlgorithm):
|
||||
def Initialize(self):
|
||||
self.SetSecurityInitializer(self.CustomSecurityInitializer)
|
||||
super().Initialize()
|
||||
|
||||
def CustomSecurityInitializer(self, security):
|
||||
if Extensions.IsOption(security.Symbol.SecurityType):
|
||||
security.SetOptionExerciseModel(CustomExerciseModel())
|
||||
|
||||
def OnData(self, data):
|
||||
super().OnData(data)
|
||||
|
||||
class CustomExerciseModel(DefaultExerciseModel):
|
||||
def OptionExercise(self, option: Option, order: OptionExerciseOrder):
|
||||
order_event = OrderEvent(
|
||||
order.Id,
|
||||
option.Symbol,
|
||||
Extensions.ConvertToUtc(option.LocalTime, option.Exchange.TimeZone),
|
||||
OrderStatus.Filled,
|
||||
Extensions.GetOrderDirection(order.Quantity),
|
||||
0.0,
|
||||
order.Quantity,
|
||||
OrderFee.Zero,
|
||||
"Tag"
|
||||
)
|
||||
order_event.IsAssignment = False
|
||||
return [ order_event ]
|
||||
Reference in New Issue
Block a user