# 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("System.Collections") AddReference("QuantConnect.Common") from System import * from System.Collections.Generic import List from QuantConnect import * from QuantConnect.Data.UniverseSelection import * from QCAlgorithm import QCAlgorithm ### ### This algorithm shows how you can handle universe selection in anyway you like, ### at any time you like. This algorithm has a list of 10 stocks that it rotates ### through every hour. ### ### ### ### class UserDefinedUniverseAlgorithm(QCAlgorithm): def Initialize(self): self.SetCash(100000) self.SetStartDate(2015,1,1) self.SetEndDate(2015,12,1) self.symbols = [ "SPY", "GOOG", "IBM", "AAPL", "MSFT", "CSCO", "ADBE", "WMT"] self.UniverseSettings.Resolution = Resolution.Hour self.AddUniverse('my_universe_name', Resolution.Hour, self.selection) def selection(self, time): index = time.hour%len(self.symbols) return self.symbols[index] def OnData(self, slice): pass def OnSecuritiesChanged(self, changes): for removed in changes.RemovedSecurities: if removed.Invested: self.Liquidate(removed.Symbol) for added in changes.AddedSecurities: self.SetHoldings(added.Symbol, 1/float(len(changes.AddedSecurities)))