# 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 * ### ### Futures framework algorithm that uses open interest to select the active contract. ### ### ### ### ### class OpenInterestFuturesRegressionAlgorithm(QCAlgorithm): expected_expiry_dates = {datetime(2013, 12, 27), datetime(2014,2,26)} def Initialize(self): self.UniverseSettings.Resolution = Resolution.Tick self.SetStartDate(2013,10,8) self.SetEndDate(2013,10,11) self.SetCash(10000000) # set framework models universe = OpenInterestFutureUniverseSelectionModel(self, lambda date_time: [Symbol.Create(Futures.Metals.Gold, SecurityType.Future, Market.COMEX)], None, len(self.expected_expiry_dates)) self.SetUniverseSelection(universe) def OnData(self,data): if self.Transactions.OrdersCount == 0 and data.HasData: matched = list(filter(lambda s: not (s.ID.Date in self.expected_expiry_dates), data.Keys)) if len(matched) != 0: raise Exception(f"{len(matched)}/{len(slice.Keys)} were unexpected expiry date(s): " + ", ".join(list(map(lambda x: x.ID.Date, matched)))) for symbol in data.Keys: self.MarketOrder(symbol, 1) elif any(p.Value.Invested for p in self.Portfolio): self.Liquidate()