# 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 * ### ### Regression algorithm to test universe additions and removals with open positions ### ### class WeeklyUniverseSelectionRegressionAlgorithm(QCAlgorithm): def initialize(self) -> None: self.set_cash(100000) self.set_start_date(2013,10,1) self.set_end_date(2013,10,31) self.universe_settings.resolution = Resolution.HOUR # select IBM once a week, empty universe the other days self.add_universe("my-custom-universe", lambda dt: ["IBM"] if dt.day % 7 == 0 else []) def on_data(self, slice: Slice) -> None: if not self._changes: return # liquidate removed securities for security in self._changes.removed_securities: if security.invested: self.log("{} Liquidate {}".format(self.time, security.symbol)) self.liquidate(security.symbol) # we'll simply go long each security we added to the universe for security in self._changes.added_securities: if not security.invested: self.log("{} Buy {}".format(self.time, security.symbol)) self.set_holdings(security.symbol, 1) self._changes = None def on_securities_changed(self, changes: SecurityChanges) -> None: self._changes = changes