# 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.set_start_date(2014, 3, 25) self.set_end_date(2014, 3, 27) self.universe_settings.resolution = Resolution.DAILY self._universe = self.add_universe(self.selection_function) self.selection_count = 0 def selection_function(self, fundamentals): sorted_by_dollar_volume = sorted(fundamentals, key=lambda x: x.dollar_volume, reverse=True) sorted_by_dollar_volume = sorted_by_dollar_volume[self.selection_count:] self.selection_count = self.selection_count + 1 # return the symbol objects of the top entries from our sorted collection return [ x.symbol for x in sorted_by_dollar_volume[:self.selection_count] ] def on_data(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 on_end_of_algorithm(self): if self.selection_count != 3: raise ValueError(f"Unexpected selection count {self.selection_count}") 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}")