# 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 datetime import timedelta from AlgorithmImports import * ### ### Regression algorithm asserting that historical data can be requested with tick resolution without requiring ### a tick resolution subscription ### class TickHistoryRequestWithoutTickSubscriptionRegressionAlgorithm(QCAlgorithm): def initialize(self): self.set_start_date(2013, 10, 8) self.set_end_date(2013, 10, 8) # Subscribing SPY and IBM with daily and hour resolution instead of tick resolution spy = self.add_equity("SPY", Resolution.DAILY).symbol ibm = self.add_equity("IBM", Resolution.HOUR).symbol # Requesting history for SPY and IBM (separately) with tick resolution spy_history = self.history[Tick](spy, timedelta(days=1), Resolution.TICK) if len(list(spy_history)) == 0: raise AssertionError("SPY tick history is empty") ibm_history = self.history[Tick](ibm, timedelta(days=1), Resolution.TICK) if len(list(ibm_history)) == 0: raise AssertionError("IBM tick history is empty") # Requesting history for SPY and IBM (together) with tick resolution spy_ibm_history = self.history[Tick]([spy, ibm], timedelta(days=1), Resolution.TICK) if len(list(spy_ibm_history)) == 0: raise AssertionError("Compound SPY and IBM tick history is empty") self.quit()