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 -4.203 Tracking Error 0.21 Treynor Ratio 0 Total Fees $0.00 |
class QuantumOptimizedGearbox(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 5, 5) # Set Start Date self.SetCash(100000) # Set Strategy Cash self.atr = AverageTrueRange(14) self.symbol = self.AddEquity('SPY', Resolution.Minute).Symbol self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.At(18, 1), self.newTR) def newTR(self): self.atr.Update(self.CurrentSlice[self.symbol]) if self.atr.IsReady: self.Plot('Custom', 'ATR', self.atr.Current.Value) 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 '''