What’s the optimal handle stock data across days as a time series that makes it easy for computers to understand
I’m thinking about erasing the time stamps making it a SSARIMA model with one seasonality interval being on the daily level and the second on the weekly level. Or is this retarded and there’s a better way?
I’m thinking about erasing the time stamps making it a SSARIMA model with one seasonality interval being on the daily level and the second on the weekly level. Or is this retarded and there’s a better way?
