Overall Statistics |
Total Trades 16 Average Win 4.97% Average Loss -1.64% Compounding Annual Return 13.124% Drawdown 7.100% Expectancy 1.018 Net Profit 13.124% Sharpe Ratio 1.092 Loss Rate 50% Win Rate 50% Profit-Loss Ratio 3.04 Alpha 0.04 Beta 0.656 Annual Standard Deviation 0.097 Annual Variance 0.009 Information Ratio 0.082 Tracking Error 0.07 Treynor Ratio 0.161 Total Fees $41.05 |
import numpy as np import decimal as d from datetime import timedelta, datetime class CustomChartingAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2016,1,1) self.SetEndDate(2017,1,1) self.SetCash(100000) self.AddEquity("SPY", Resolution.Daily) # In your initialize method: # Chart - Master Container for the Chart: stockPlot = Chart('Trade Plot') # On the Trade Plotter Chart we want 3 series: trades and price: stockPlot.AddSeries(Series('Buy', SeriesType.Scatter, 0)) stockPlot.AddSeries(Series('Sell', SeriesType.Scatter, 0)) stockPlot.AddSeries(Series('Price', SeriesType.Line, 0)) self.AddChart(stockPlot) avgCross = Chart('AVG Cross') avgCross.AddSeries(Series('FastMA', SeriesType.Line, 1)) avgCross.AddSeries(Series('SlowMA', SeriesType.Line, 1)) self.AddChart(avgCross) self.fastMA = 0 self.slowMA = 0 self.resample = datetime.min self.resamplePeriod = (self.EndDate - self.StartDate) / 2000 def OnData(self, slice): if slice["SPY"] is None: self.lastPrice = 0 return self.lastPrice = slice["SPY"].Close if self.fastMA == 0: self.fastMA = self.lastPrice if self.slowMA == 0: self.slowMA = self.lastPrice self.fastMA = (d.Decimal(0.01) * self.lastPrice) + (d.Decimal(0.99) * self.fastMA) self.slowMA = (d.Decimal(0.001) * self.lastPrice) + (d.Decimal(0.999) * self.slowMA) if self.Time > self.resample: self.resample = self.Time + self.resamplePeriod self.Plot('AVG Cross', 'FastMA', self.fastMA) self.Plot('AVG Cross', 'SlowMA', self.slowMA) # On the 5th days when not invested buy: if not self.Portfolio.Invested and self.Time.day % 13 == 0: self.Order("SPY", (int)(self.Portfolio.MarginRemaining / self.lastPrice)) self.Plot('Trade Plot', 'Buy', self.lastPrice) elif self.Time.day % 21 == 0 and self.Portfolio.Invested: self.Plot('Trade Plot', 'Sell', self.lastPrice) self.Liquidate() def OnEndOfDay(self): #Log the end of day prices: self.Plot('Trade Plot', 'Price', self.lastPrice)