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 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 Estimated Strategy Capacity $0 Lowest Capacity Asset |
class Algo(QCAlgorithm): def Initialize(self): self.SetStartDate(2021, 8, 9) self.SetCash(10000) self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage) self.symbol = self.AddEquity("NOW").Symbol self.canTrade = False self.Schedule.On( self.DateRules.EveryDay(self.symbol), self.TimeRules.BeforeMarketClose(self.symbol, 2), self.SetCanTrade) def SetCanTrade(self): self.canTrade = True def OnData(self, slice): if not(self.canTrade and self.symbol in slice.Bars): return self.canTrade = False bar = slice.Bars[self.symbol] if self.Portfolio[self.symbol].Invested: return history = self.History(self.symbol, 3, Resolution.Daily) if 'close' not in history or history.dropna().shape[0] < 2: return close, open_, low, high, volume = history.close.unstack(level=0), history.open.unstack(level=0), history.low.unstack(level=0), history.high.unstack(level=0), history.volume.unstack(level=0) close.loc[bar.EndTime] = [bar.Close]