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 Probabilistic 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 -0.724 Tracking Error 0.256 Treynor Ratio 0 Total Fees $0.00 |
class QuantumVerticalEngine(QCAlgorithm): def Initialize(self): self.SetStartDate(2019, 1, 1) # Set Start Date self.SetEndDate(2020, 6, 17) self.SetCash(100000) # Set Strategy Cash self.SetWarmup(100) self.spy = self.AddEquity('SPY', Resolution.Daily) # self.spy.SetDataNormalizationMode(DataNormalizationMode.Raw) # .SetDataNormalizationMode(DataNormalizationMode.TotalReturn) # self.AddEquity("SPY", Resolution.Minute) 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 ''' self.Plot('my chart', 'my snp', self.spy.Close/275.612455044) # self.Debug('close today:' + str(self.spy.Close)) # self.Plot('Data Chart', 'Stop Price', self.highestSPYPrice * 0.9) # if not self.Portfolio.Invested: # self.SetHoldings("SPY", 1)