# 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 InceptionDateSelectionRegressionAlgorithm(QCAlgorithm): def initialize(self): self.set_start_date(2013,10,1) self.set_end_date(2013,10,31) self.set_cash(100000) self.changes = None self.universe_settings.resolution = Resolution.HOUR # select IBM once a week, empty universe the other days self.add_universe_selection(CustomUniverseSelectionModel("my-custom-universe", lambda dt: ["IBM"] if dt.day % 7 == 0 else [])) # Adds SPY 5 days after StartDate and keep it in Universe self.add_universe_selection(InceptionDateUniverseSelectionModel("spy-inception", {"SPY": self.start_date + timedelta(5)})) def on_data(self, slice): if self.changes is None: return # we'll simply go long each security we added to the universe for security in self.changes.added_securities: self.set_holdings(security.symbol, .5) self.changes = None def on_securities_changed(self, changes): # liquidate removed securities for security in changes.removed_securities: self.liquidate(security.symbol, "Removed from Universe") self.changes = changes