Overall Statistics |
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |
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 class ScheduledEventsAlgorithm(QCAlgorithm): '''QCU Scheduled Events Algorithm''' 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(2017,3,21) #Set Start Date self.SetEndDate(2017,3,22) #Set End Date self.SetCash(100000) #Set Strategy Cash # Find more symbols here: http://quantconnect.com/data self.AddEquity("SPY", Resolution.Minute) self.counter = 0 # schedule an event to fire at a specific date/time self.Schedule.On(self.DateRules.On(2017, 3, 21), self.TimeRules.At(9, 40), Action(self.SpecificTime)) def OnData(self, data): '''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.''' self.counter += 1 if self.counter == 10: self.Log("OnData SPY Close: {0}".format(data["SPY"].Close)) pass def SpecificTime(self): self.Log("SpecificTime: Fired at : {0}".format(self.Time)) spy = self.Securities["SPY"] self.Log("SpecificTime SPY Close: {0}".format(spy.Close)) #