Overall Statistics |
Total Trades 1 Average Win 0% Average Loss 0% Compounding Annual Return -2.951% Drawdown 5.900% Expectancy 0 Net Profit -2.959% Sharpe Ratio -0.534 Probabilistic Sharpe Ratio 4.353% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -0.018 Beta -0.022 Annual Standard Deviation 0.043 Annual Variance 0.002 Information Ratio -2.25 Tracking Error 0.123 Treynor Ratio 1.057 Total Fees $0.00 Estimated Strategy Capacity $1400000.00 |
class HyperActiveMagentaChimpanzee(QCAlgorithm): highestsymbolprice = 0 lowestsymbolprice = 0 # define the RollingWindow in initialize def Initialize(self): self.SetStartDate(2019, 1, 1) # Set Start Date self.SetEndDate(2020, 1, 1) self.SetCash(100000) # Set Strategy Cash # self.AddEquity("SPY", Resolution.Minute) tickers = ["EURUSD"] for ticker in tickers: self.AddForex(ticker, Resolution.Hour, Market.Oanda) # note length is (desired lookback period + 1) self.lowValues = RollingWindow[float](4) self.highValues = RollingWindow[float](4) def OnData(self, data): # add data tickers = ["EURUSD"] for ticker in tickers: self.lowValues.Add(data[ticker].Low) self.highValues.Add(data[ticker].High) current_price = data[ticker].Close # make sure window is properly warmed up before using if(not self.lowValues.IsReady): return if(not self.highValues.IsReady): return if self.Portfolio.Invested: if self.isLong: if current_price > self.highestsymbolprice: self.highestsymbolprice = current_price updateFields = UpdateOrderFields() updateFields.StopPrice = self.highestsymbolprice * 0.98 self.trailingstop = updateFields.StopPrice if current_price <= self.trailingstop: self.Liquidate(ticker) self.Log(f"{self.Time} Long Position Trailing Stop Profit at {current_price}") else: if current_price < self.lowestsymbolprice: self.lowestsymbolprice = current_price updateFields = UpdateOrderFields() updateFields.StopPrice = self.lowestsymbolprice * 1.02 self.trailingstop = updateFields.StopPrice if current_price >= self.trailingstop: self.Liquidate(ticker) self.Log(f"{self.Time} Short Position Trailing Stop Profit at {current_price}") if not self.Portfolio.Invested: # If the high 3 bars ago is less than the current low, and the current low is less than the previous bar high, and the current bar high is # less than the high 2 bars ago and the previous bar high is less than the high 2 bars ago,buy long at the next market open. if(self.highValues[3] < data[ticker].Low and data[ticker].Low < self.highValues[1] and data[ticker].High < self.highValues[2] and self.highValues[1] < self.highValues[2] ): self.SetHoldings(ticker, 1) # get buy-in price for trailing stop loss/profit self.buyInPrice = current_price # entered long position self.isLong = True self.Log(f"{self.Time} Entered Long Position at {current_price}") # If the low 3 bars ago is great than the current high, and the current high is greater than the previous bar low, and the current bar low is # greater than the low 2 bars ago and the previous bar low is greater than the low 2 bars ago,sell short at the next market open. if(self.lowValues[3] > data[ticker].High and data[ticker].High > self.lowValues[1] and data[ticker].Low > self.lowValues[2] and self.lowValues[1] > self.lowValues[2]): self.SetHoldings(ticker, -1) # get sell-in price for trailing stop loss/profit self.sellInPrice = current_price # entered short position self.isLong = False self.Log(f"{self.Time} Entered Short Position at {current_price}")