Overall Statistics
Total Trades
175
Average Win
11.43%
Average Loss
-6.86%
Compounding Annual Return
49.507%
Drawdown
55.800%
Expectancy
0.866
Net Profit
8087.392%
Sharpe Ratio
1.443
Probabilistic Sharpe Ratio
64.114%
Loss Rate
30%
Win Rate
70%
Profit-Loss Ratio
1.67
Alpha
0.502
Beta
1.025
Annual Standard Deviation
0.458
Annual Variance
0.209
Information Ratio
1.2
Tracking Error
0.422
Treynor Ratio
0.644
Total Fees
$60673.72
Estimated Strategy Capacity
$310000.00
Lowest Capacity Asset
TMF UBTUG7D0B7TX
class FocusedSkyBlueSalmon(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2010, 1, 1) # Set Start and End Date
        self.SetEndDate(2020, 12, 12)
        self.SetCash(100000) #Set Cash
       
        self.SpySymbol = self.AddEquity("SPXL", Resolution.Minute) #Request Data
        self.TMFSymbol = self.AddEquity("TMF", Resolution.Minute)
        self.GLDSymbol = self.AddEquity("GLD", Resolution.Minute)
        
        
        self.SmaSpy = self.SMA("SPXL", 200)  #Indicator Simple Moving Average 200 days
        
        self.SetWarmup(200) #Warmup Indicator
        
      
        self.rebal = 4  #Rebalance
        self.rebalTimer = self.rebal - 1          
        self.flag1 = 0 
        
        self.Schedule.On(self.DateRules.WeekStart("SPXL"), self.TimeRules.AfterMarketOpen("SPXL", 150), self.Rebalance) # Set Rebalance
        #self.Schedule.On(self.DateRules.MonthStart("SPXL"), \
                # self.TimeRules.AfterMarketOpen("SPXL"), \
                # self.Rebalance)
      
        

    def OnData(self, data): # When each data point comes in 
      
        if self.flag1 != 1:
            return
            
        if self.SmaSpy.IsReady: # When Warm Up is done
            self.Debug("Ready!")
            
            
        
        if self.SmaSpy is None or not self.SmaSpy.IsReady: #Final Check That Everything is ready
            return
        
        if self.SmaSpy.Current.Value < self.Securities["SPXL"].Close: # check to see if closing spy value is greater than the simple moving average
            self.Liquidate("TMF") # liquidate tmf
            self.SetHoldings("SPXL", 1) # buy 100% of portfolio into SPXL
            
        else:
            self.Liquidate("SPXL") #if not then sell all of SPXL
            self.SetHoldings("TMF", 1) # then buy into TMF
        self.rebalTimer = 0 
        self.flag1 = 0  
 
            
    
    def OnOrderEvent(self, orderEvent): # Make sure that orders are going through
         
         if orderEvent.Status == OrderStatus.Filled:
            self.lastOrderEvent = orderEvent
            self.Debug(str(self.lastOrderEvent.OrderId))
            
    def Rebalance(self): # Code the Rebalance
        self.rebalTimer +=1
        
        if self.rebalTimer == self.rebal:
           self.flag1 = 1