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 |
# HH-LL test # ------------------------ STOCK = "SPY"; PERIOD = 5; # ------------------------ class Test(QCAlgorithm): def Initialize(self): self.SetStartDate(2022, 6, 1) self.SetEndDate(2022, 6, 1) self.SetCash(100000) self.stock = self.AddEquity(STOCK, Resolution.Minute).Symbol self.hh = self.MAX(self.stock, PERIOD, Resolution.Minute, Field.High) self.ll = self.MIN(self.stock, PERIOD, Resolution.Minute, Field.Low) self.SetWarmUp(PERIOD, Resolution.Minute) self.Schedule.On(self.DateRules.EveryDay(self.stock), self.TimeRules.AfterMarketOpen(self.stock, PERIOD + 1), self.DailyCheck) def DailyCheck(self): if self.IsWarmingUp: return if not (self.hh.IsReady and self.ll.IsReady): return price = self.Securities[self.stock].Price hh = self.hh.Current.Value ll = self.ll.Current.Value self.Debug("Price: " + str(price) + " // High: " + str(hh) + " // Low: " + str(ll))