# 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 * class BasicTemplateIndexDailyAlgorithm(QCAlgorithm): def initialize(self) -> None: self.set_start_date(2021, 1, 1) self.set_end_date(2021, 1, 18) self.set_cash(1000000) # Use indicator for signal; but it cannot be traded self.spx = self.add_index("SPX", Resolution.DAILY).symbol # Trade on SPX ITM calls self.spx_option = Symbol.create_option( self.spx, Market.USA, OptionStyle.EUROPEAN, OptionRight.CALL, 3200, datetime(2021, 1, 15) ) self.add_index_option_contract(self.spx_option, Resolution.DAILY) self.ema_slow = self.ema(self.spx, 80) self.ema_fast = self.ema(self.spx, 200) self.ExpectedBarCount = 10 self.BarCounter = 0 self.settings.daily_precise_end_time = True def on_data(self, data: Slice): if not self.portfolio.invested: # SPX Index is not tradable, but we can trade an option self.market_order(self.spx_option, 1) else: self.liquidate() # Count how many slices we receive with SPX data in it to assert later if data.contains_key(self.spx): self.BarCounter = self.BarCounter + 1 def OnEndOfAlgorithm(self): if self.BarCounter != self.ExpectedBarCount: raise ValueError(f"Bar Count {self.BarCounter} is not expected count of {self.ExpectedBarCount}") for symbol in [ self.spx_option, self.spx ]: history = self.history(symbol, 10) if len(history) != 10: raise ValueError(f"Unexpected history count: {len(history)}") if any(x for x in history.index.get_level_values('time') if x.time() != time(15, 15, 0)): raise ValueError(f"Unexpected history data time")