# 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 reproducing GH issue #5921. Asserting a security can be warmup correctly on initialize ### class SecuritySeederRegressionAlgorithm(QCAlgorithm): def Initialize(self): '''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.''' self.SetStartDate(2013,10, 8) self.SetEndDate(2013,10,10) self.SetSecurityInitializer(BrokerageModelSecurityInitializer(self.BrokerageModel, FuncSecuritySeeder(self.GetLastKnownPrices))) self.AddEquity("SPY", Resolution.Minute) def OnData(self, data): '''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here. Arguments: data: Slice object keyed by symbol containing the stock data ''' if not self.Portfolio.Invested: self.SetHoldings("SPY", 1) def OnSecuritiesChanged(self, changes): for addedSecurity in changes.AddedSecurities: if not addedSecurity.HasData \ or addedSecurity.AskPrice == 0 \ or addedSecurity.BidPrice == 0 \ or addedSecurity.BidSize == 0 \ or addedSecurity.AskSize == 0 \ or addedSecurity.Price == 0 \ or addedSecurity.Volume == 0 \ or addedSecurity.High == 0 \ or addedSecurity.Low == 0 \ or addedSecurity.Open == 0 \ or addedSecurity.Close == 0: raise ValueError(f"Security {addedSecurity.Symbol} was not warmed up!")