Overall Statistics |
Total Trades 1595 Average Win 0.02% Average Loss 0.00% Compounding Annual Return 3.897% Drawdown 3.300% Expectancy 5.177 Net Profit 3.904% Sharpe Ratio 0.731 Probabilistic Sharpe Ratio 38.991% Loss Rate 41% Win Rate 59% Profit-Loss Ratio 9.52 Alpha -0.083 Beta 0.243 Annual Standard Deviation 0.055 Annual Variance 0.003 Information Ratio -3.443 Tracking Error 0.136 Treynor Ratio 0.165 Total Fees $1636.50 Estimated Strategy Capacity $79000000.00 Lowest Capacity Asset TQQQ UK280CGTCB51 |
class HipsterVioletAntelope(QCAlgorithm): def Initialize(self): self.SetStartDate(2020, 5, 14) # Set Start Date self.SetEndDate(2021,5,14) self.SetCash(100000) # Set Strategy Cash self.spy = self.AddEquity("TQQQ", Resolution.Minute).Symbol self.window = RollingWindow[TradeBar](2) self.DefaultOrderProperties.TimeInForce = TimeInForce.Day def OnData(self, data): if not data.Bars.ContainsKey("TQQQ"): return self.window.Add(data.Bars["TQQQ"]) if not self.window.IsReady: return low = self.window[0].Low high = self.window[0].High close = self.window[0].Close Open = self.window[0].Open low1 = self.window[1].Low high1 = self.window[1].High close1 = self.window[1].Close if not self.Portfolio.Invested: if (low < low1) and (high < high1) and (close < Open) and (close < close1): self.ticket = self.StopMarketOrder("TQQQ", 100, high) else: if self.Securities["TQQQ"].Price > self.fill_price: self.Liquidate("TQQQ") def OnOrderEvent(self, orderevent): if orderevent.Status == OrderStatus.Filled: self.fill_price = orderevent.FillPrice self.Debug(self.fill_price)