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 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |

class QuantumCalibratedCompensator(QCAlgorithm): def Initialize(self): self.SetStartDate(2019, 9, 29) # Set Start Date self.SetCash(100000) # Set Strategy Cash self.SetUniverseSelection(VolatilityETFUniverse()) def OnData(self, data): pass ## This function will run anytime a new security is added to or removed from ## the universe def OnSecuritiesChanged(self, changes): symbols = [x.Symbol for x in changes.AddedSecurities] ## the .Value property of the Symbol object will give you its ticker as a string self.Log(f'{[x.Value for x in symbols]}') # This will write it to the log .txt file self.Debug(f'{[x.Value for x in symbols]}') # This will write it to the console