Overall Statistics |
Total Trades 125 Average Win 0.04% Average Loss -0.16% Compounding Annual Return -0.536% Drawdown 10.200% Expectancy -0.182 Net Profit -1.861% Sharpe Ratio -0.094 Probabilistic Sharpe Ratio 1.095% Loss Rate 33% Win Rate 67% Profit-Loss Ratio 0.23 Alpha -0.003 Beta -0.004 Annual Standard Deviation 0.039 Annual Variance 0.002 Information Ratio -0.788 Tracking Error 0.202 Treynor Ratio 1 Total Fees $172.46 Estimated Strategy Capacity $350000000.00 Lowest Capacity Asset CSCO R735QTJ8XC9X |
class MACrossover(QCAlgorithm): def Initialize(self): self.SetStartDate(2018, 1, 1) # Set Start Date # self.SetEndDate(2020, 1, 1) # Set End Date self.SetCash(100000) # Set Strategy Cash # self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage) self.stop = False self.stocks = ["CSCO","TSLA", "JPM", "QCOM", "AMD", "TLT","QQQ"] self.stocks_weight = {"CSCO":0.05, "TSLA":0.1, "JPM":0.1, "QCOM":0.05, "AMD":0.3, "TLT":0.1, "QQQ":0.3 } self.AddEquity("CSCO", Resolution.Daily) # Networking hardware, software, telecommunications equipment self.AddEquity("TSLA", Resolution.Daily) # Electric Cars, Solar & Clean Energy self.AddEquity("JPM", Resolution.Daily) # Banking / Finance self.AddEquity("QCOM", Resolution.Daily) # Semiconductor stock self.AddEquity("AMD", Resolution.Daily) # Semiconductor stock self.AddEquity("TLT", Resolution.Daily) # TLT is an etf of US Treasury bond self.AddEquity("QQQ", Resolution.Daily) # QQQ is an etf that tracks Nasdaq index # Part 2 Step 2: Calculate Moving Averages def OnData(self, data): if self.stop: return stocks = self.stocks for stock in stocks: # self.Debug(stock) stock_data = self.History ([stock], 30, Resolution.Daily) MA_Fast_Pre = stock_data.close[25:30].mean() MA_Slow_Pre = stock_data.close [9:30].mean() # # Part 3 Strategy: Make Crossover rule # # When slow sma < fast sma, buy the stock if MA_Slow_Pre < MA_Fast_Pre: self.Debug (self.stocks_weight[stock]) self.SetHoldings (stock, self.stocks_weight[stock]) # When slow sma > fast sma, sell the stock if MA_Slow_Pre > MA_Fast_Pre: self.SetHoldings (stock, 0) # Part 4 Step 4: Make Drawdown stop if self.Portfolio.Cash < 0.85*1000: self.stop = True self.Liquidate()