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 -1.858 Tracking Error 0.229 Treynor Ratio 0 Total Fees $0.00 |
class CandleFun(QCAlgorithm): # Ticker symbol that the algo will trade. tickerSymbol = "QQQ" def Initialize(self): self.SetStartDate(2003, 1, 1) self.SetEndDate(2003, 12, 31) self.SetCash(5000) self.SetBrokerageModel( BrokerageName.InteractiveBrokersBrokerage, AccountType.Cash ) self.SetBenchmark("QQQ") self.AddEquity(self.tickerSymbol, Resolution.Daily) self.hammer = self.CandlestickPatterns.Hammer( self.tickerSymbol, Resolution.Daily ) 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 self.hammer.Current.Val == 1: self.Log("Hammer.") def OnOrderEvent(self, orderEvent): self.Log(f"{orderEvent}")