Overall Statistics |
Total Trades 2 Average Win 0% Average Loss -0.94% Compounding Annual Return -6.306% Drawdown 21.200% Expectancy -1 Net Profit -1.042% Sharpe Ratio 0.024 Loss Rate 100% Win Rate 0% Profit-Loss Ratio 0 Alpha 1.133 Beta -57.584 Annual Standard Deviation 0.383 Annual Variance 0.147 Information Ratio -0.027 Tracking Error 0.383 Treynor Ratio 0 Total Fees $4.75 |
import numpy as np ### <summary> ### Basic template algorithm simply initializes the date range and cash. This is a skeleton ### framework you can use for designing an algorithm. ### </summary> class BasicTemplateAlgorithm(QCAlgorithm): '''Basic template algorithm simply initializes the date range and cash''' 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(2018,1, 2) #Set Start Date self.SetEndDate(2018,3,1) #Set End Date self.SetCash(100000) #Set Strategy Cash self.Portfolio.MarginModel = MarginCallModel.Null # Find more symbols here: http://quantconnect.com/data self.AddEquity("SPY", Resolution.Second) def OnData(self, data): '''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here. Arguments: data: Slice object keyed by symbol containing the stock data ''' if not self.Portfolio.Invested: self.SetHoldings("SPY", 5)