# 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 clr import AddReference AddReference("System") AddReference("QuantConnect.Algorithm") AddReference("QuantConnect.Common") from System import * from QuantConnect import * from QuantConnect.Algorithm import * from QuantConnect.Data import * from datetime import timedelta ### ### Demonstration of the Scheduled Events features available in QuantConnect. ### ### ### ### class ScheduledEventsAlgorithm(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(2013,10,7) #Set Start Date self.SetEndDate(2013,10,11) #Set End Date self.SetCash(100000) #Set Strategy Cash # Find more symbols here: http://quantconnect.com/data self.AddEquity("SPY") # events are scheduled using date and time rules # date rules specify on what dates and event will fire # time rules specify at what time on thos dates the event will fire # schedule an event to fire at a specific date/time self.Schedule.On(self.DateRules.On(2013, 10, 7), self.TimeRules.At(13, 0), self.SpecificTime) # schedule an event to fire every trading day for a security the # time rule here tells it to fire 10 minutes after SPY's market open self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.AfterMarketOpen("SPY", 10), self.EveryDayAfterMarketOpen) # schedule an event to fire every trading day for a security the # time rule here tells it to fire 10 minutes before SPY's market close self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.BeforeMarketClose("SPY", 10), self.EveryDayAfterMarketClose) # schedule an event to fire on a single day of the week self.Schedule.On(self.DateRules.Every(DayOfWeek.Wednesday), self.TimeRules.At(12, 0), self.EveryWedAtNoon) # schedule an event to fire on certain days of the week self.Schedule.On(self.DateRules.Every(DayOfWeek.Monday, DayOfWeek.Friday), self.TimeRules.At(12, 0), self.EveryMonFriAtNoon) # the scheduling methods return the ScheduledEvent object which can be used for other things here I set # the event up to check the portfolio value every 10 minutes, and liquidate if we have too many losses self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.Every(timedelta(minutes=10)), self.LiquidateUnrealizedLosses) # schedule an event to fire at the beginning of the month, the symbol is optional # if specified, it will fire the first trading day for that symbol of the month, # if not specified it will fire on the first day of the month self.Schedule.On(self.DateRules.MonthStart("SPY"), self.TimeRules.AfterMarketOpen("SPY"), self.RebalancingCode) def OnData(self, data): '''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.''' if not self.Portfolio.Invested: self.SetHoldings("SPY", 1) def SpecificTime(self): self.Log(f"SpecificTime: Fired at : {self.Time}") def EveryDayAfterMarketOpen(self): self.Log(f"EveryDay.SPY 10 min after open: Fired at: {self.Time}") def EveryDayAfterMarketClose(self): self.Log(f"EveryDay.SPY 10 min before close: Fired at: {self.Time}") def EveryWedAtNoon(self): self.Log(f"Wed at 12pm: Fired at: {self.Time}") def EveryMonFriAtNoon(self): self.Log(f"Mon/Fri at 12pm: Fired at: {self.Time}") def LiquidateUnrealizedLosses(self): ''' if we have over 1000 dollars in unrealized losses, liquidate''' if self.Portfolio.TotalUnrealizedProfit < -1000: self.Log(f"Liquidated due to unrealized losses at: {self.Time}") self.Liquidate() def RebalancingCode(self): ''' Good spot for rebalancing code?''' pass