# 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 asserting the behavior of Universe.Selected collection ### class UniverseSelectedRegressionAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2014, 3, 25) self.SetEndDate(2014, 3, 27) self.UniverseSettings.Resolution = Resolution.Daily self.universe = self.AddUniverse(self.SelectionFunction) self.selectionCount = 0 def SelectionFunction(self, fundamentals): sortedByDollarVolume = sorted(fundamentals, key=lambda x: x.DollarVolume, reverse=True) sortedByDollarVolume = sortedByDollarVolume[self.selectionCount:] self.selectionCount = self.selectionCount + 1 # return the symbol objects of the top entries from our sorted collection return [ x.Symbol for x in sortedByDollarVolume[:self.selectionCount] ] def OnData(self, data): if Symbol.Create("TSLA", SecurityType.Equity, Market.USA) in self.universe.Selected: raise ValueError(f"TSLA shouldn't of been selected") self.Buy(next(iter(self.universe.Selected)), 1) def OnEndOfAlgorithm(self): if self.selectionCount != 3: raise ValueError(f"Unexpected selection count {self.selectionCount}") if self.universe.Selected.Count != 3 or self.universe.Selected.Count == self.universe.Members.Count: raise ValueError(f"Unexpected universe selected count {self.universe.Selected.Count}")