Adds ScheduledEventsAlgorithm.py
Adds Python version of ScheduledEventsAlgorithm
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# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from clr import AddReference
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AddReference("System")
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AddReference("QuantConnect.Algorithm")
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AddReference("QuantConnect.Common")
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from System import *
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from QuantConnect import *
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from QuantConnect.Algorithm import *
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from QuantConnect.Data import *
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class ScheduledEventsAlgorithm(QCAlgorithm):
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'''QCU Scheduled Events Algorithm'''
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def Initialize(self):
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'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
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self.SetStartDate(2013,10,07) #Set Start Date
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self.SetEndDate(2013,10,11) #Set End Date
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self.SetCash(100000) #Set Strategy Cash
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# Find more symbols here: http://quantconnect.com/data
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self.AddSecurity(SecurityType.Equity, "SPY", Resolution.Second)
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# events are scheduled using date and time rules
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# date rules specify on what dates and event will fire
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# time rules specify at what time on thos dates the event will fire
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# Python note:
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# Schedule.On third argument type is System.Action or System.Action[System.String,System.DateTime]
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# we need to cast the callback function using Action(...) to make it work
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# schedule an event to fire at a specific date/time
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self.Schedule.On(self.DateRules.On(2013, 10, 7), self.TimeRules.At(13, 0), Action(self.SpecificTime))
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# schedule an event to fire every trading day for a security the
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# time rule here tells it to fire 10 minutes after SPY's market open
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self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.AfterMarketOpen("SPY", 10), Action(self.EveryDayAfterMarketOpen))
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# schedule an event to fire every trading day for a security the
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# time rule here tells it to fire 10 minutes before SPY's market close
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self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.BeforeMarketClose("SPY", 10), Action(self.EveryDayAfterMarketClose))
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# schedule an event to fire on certain days of the week
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self.Schedule.On(self.DateRules.Every(DayOfWeek.Monday, DayOfWeek.Friday), self.TimeRules.At(12, 0), Action(self.EveryMonFriAtNoon))
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# the scheduling methods return the ScheduledEvent object which can be used for other things here I set
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# the event up to check the portfolio value every 10 minutes, and liquidate if we have too many losses
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self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.Every(TimeSpan.FromMinutes(10)), Action(self.LiquidateUnrealizedLosses))
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# schedule an event to fire at the beginning of the month, the symbol is optional
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# if specified, it will fire the first trading day for that symbol of the month,
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# if not specified it will fire on the first day of the month
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self.Schedule.On(self.DateRules.MonthStart("SPY"), self.TimeRules.AfterMarketOpen("SPY"), Action(self.RebalancingCode))
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def OnData(self, data):
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'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
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Arguments:
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data: Slice object keyed by symbol containing the stock data
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'''
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if not self.Portfolio.Invested:
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self.SetHoldings("SPY", 1)
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def SpecificTime(self):
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self.Log("SpecificTime: Fired at : {0}".format(self.Time))
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def EveryDayAfterMarketOpen(self):
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self.Log("EveryDay.SPY 10 min after open: Fired at: {0}".format(self.Time))
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def EveryDayAfterMarketClose(self):
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self.Log("EveryDay.SPY 10 min before close: Fired at: {0}".format(self.Time))
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def EveryMonFriAtNoon(self):
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self.Log("Mon/Fri at 12pm: Fired at: {0}".format(self.Time))
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def LiquidateUnrealizedLosses(self):
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''' if we have over 1000 dollars in unrealized losses, liquidate'''
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if self.Portfolio.TotalUnrealizedProfit < -1000:
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self.Log("Liquidated due to unrealized losses at: {0}".format(self.Time))
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self.Liquidate()
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def RebalancingCode(self):
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''' Good spot for rebalancing code?'''
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pass
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