Overall Statistics
Total Trades
0
Average Win
0%
Average Loss
0%
Compounding Annual Return
0%
Drawdown
0%
Expectancy
0
Net Profit
0%
Sharpe Ratio
0
Probabilistic Sharpe Ratio
0%
Loss Rate
0%
Win Rate
0%
Profit-Loss Ratio
0
Alpha
0
Beta
0
Annual Standard Deviation
0
Annual Variance
0
Information Ratio
-2.089
Tracking Error
0.135
Treynor Ratio
0
Total Fees
$0.00
Estimated Strategy Capacity
$0
Lowest Capacity Asset
 
class AdaptableAsparagusLlama(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2021, 1, 19)
        self.SetCash(100000) 
        self.AddEquity("SPY", Resolution.Minute)

    def OnData(self, data):
        ''' OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
            Arguments:
                data: Slice object keyed by symbol containing the stock data
        '''
      
        # Check if we're not invested and then put portfolio 100% in the SPY ETF.      
        if not self.Portfolio.Invested:
           self.Liquidate()