# 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 for asserting that tick history that includes multiple tick types (trade, quote) is correctly converted to a pandas ### dataframe without raising exceptions. The main exception in this case was a "non-unique multi-index" error due to trades adn quote ticks with ### duplicated timestamps. ### class PandasDataFrameFromMultipleTickTypeTickHistoryRegressionAlgorithm(QCAlgorithm): def initialize(self): self.set_start_date(2013, 10, 8) self.set_end_date(2013, 10, 8) spy = self.add_equity("SPY", Resolution.MINUTE).symbol subscriptions = [x for x in self.subscription_manager.subscriptions if x.symbol == spy] if len(subscriptions) != 2: raise AssertionError(f"Expected 2 subscriptions, but found {len(subscriptions)}") history = pd.DataFrame() try: history = self.history(Tick, spy, timedelta(days=1), Resolution.TICK) except Exception as e: raise AssertionError(f"History call failed: {e}") if history.shape[0] == 0: raise AssertionError("SPY tick history is empty") if not np.array_equal(history.columns.to_numpy(), ['askprice', 'asksize', 'bidprice', 'bidsize', 'exchange', 'lastprice', 'quantity']): raise AssertionError("Unexpected columns in SPY tick history") self.quit()