# 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 clr import AddReference AddReference("System.Core") AddReference("QuantConnect.Common") AddReference("QuantConnect.Algorithm") from System import * from QuantConnect import * from QuantConnect.Algorithm import QCAlgorithm from QuantConnect.Data.UniverseSelection import * ### ### Regression algorithm to test universe additions and removals with open positions ### ### class WeeklyUniverseSelectionRegressionAlgorithm(QCAlgorithm): def Initialize(self): self.SetCash(100000) self.SetStartDate(2013,10,1) self.SetEndDate(2013,10,31) self.UniverseSettings.Resolution = Resolution.Hour # select IBM once a week, empty universe the other days self.AddUniverse("my-custom-universe", lambda dt: ["IBM"] if dt.day % 7 == 0 else []) def OnData(self, slice): if self.changes == None: return # liquidate removed securities for security in self.changes.RemovedSecurities: 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.AddedSecurities: if not security.Invested: self.Log("{} Buy {}".format(self.Time, security.Symbol)) self.SetHoldings(security.Symbol, 1) self.changes = None def OnSecuritiesChanged(self, changes): self.changes = changes