# 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 SetHoldingsMultipleTargetsRegressionAlgorithm import SetHoldingsMultipleTargetsRegressionAlgorithm ### ### Regression algorithm testing GH feature 3790, using SetHoldings with a collection of targets ### which will be ordered by margin impact before being executed, with the objective of avoiding any ### margin errors ### Asserts that liquidate_existing_holdings equal false does not close positions inadvertedly (GH 7008) ### class SetHoldingsLiquidateExistingHoldingsMultipleTargetsRegressionAlgorithm(SetHoldingsMultipleTargetsRegressionAlgorithm): def on_data(self, data): if not self.portfolio.invested: self.set_holdings([PortfolioTarget(self._spy, 0.8), PortfolioTarget(self._ibm, 0.2)], liquidate_existing_holdings=True)