# 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 * ### ### Test algorithm using a 'ConstituentsUniverse' with test data ### class ConstituentsUniverseRegressionAlgorithm(QCAlgorithm): def initialize(self): self.set_start_date(2013, 10, 7) #Set Start Date self.set_end_date(2013, 10, 11) #Set End Date self.set_cash(100000) #Set Strategy Cash self._appl = Symbol.create("AAPL", SecurityType.EQUITY, Market.USA) self._spy = Symbol.create("SPY", SecurityType.EQUITY, Market.USA) self._qqq = Symbol.create("QQQ", SecurityType.EQUITY, Market.USA) self._fb = Symbol.create("FB", SecurityType.EQUITY, Market.USA) self._step = 0 self.universe_settings.resolution = Resolution.DAILY custom_universe_symbol = Symbol(SecurityIdentifier.generate_constituent_identifier( "constituents-universe-qctest", SecurityType.EQUITY, Market.USA), "constituents-universe-qctest") self.add_universe(ConstituentsUniverse(custom_universe_symbol, self.universe_settings)) def on_data(self, data): self._step = self._step + 1 if self._step == 1: if not data.contains_key(self._qqq) or not data.contains_key(self._appl): raise ValueError("Unexpected symbols found, step: " + str(self._step)) if data.count != 2: raise ValueError("Unexpected data count, step: " + str(self._step)) # AAPL will be deselected by the ConstituentsUniverse # but it shouldn't be removed since we hold it self.set_holdings(self._appl, 0.5) elif self._step == 2: if not data.contains_key(self._appl): raise ValueError("Unexpected symbols found, step: " + str(self._step)) if data.count != 1: raise ValueError("Unexpected data count, step: " + str(self._step)) # AAPL should now be released # note: takes one extra loop because the order is executed on market open self.liquidate() elif self._step == 3: if not data.contains_key(self._fb) or not data.contains_key(self._spy) or not data.contains_key(self._appl): raise ValueError("Unexpected symbols found, step: " + str(self._step)) if data.count != 3: raise ValueError("Unexpected data count, step: " + str(self._step)) elif self._step == 4: if not data.contains_key(self._fb) or not data.contains_key(self._spy): raise ValueError("Unexpected symbols found, step: " + str(self._step)) if data.count != 2: raise ValueError("Unexpected data count, step: " + str(self._step)) def on_end_of_algorithm(self): # First selection is on the midnight of the 8th, start getting data from the 8th to the 11th if self._step != 4: raise ValueError("Unexpected step count: " + str(self._step)) def OnSecuritiesChanged(self, changes): for added in changes.added_securities: self.log(f"{self.time} AddedSecurities " + str(added)) for removed in changes.removed_securities: self.log(f"{self.time} RemovedSecurities " + str(removed) + str(self._step)) # we are currently notifying the removal of AAPl twice, # when deselected and when finally removed (since it stayed pending) if removed.symbol == self._appl and self._step != 1 and self._step != 2 or removed.symbol == self._qqq and self._step != 1: raise ValueError("Unexpected removal step count: " + str(self._step))