Currently I’m working on a set of time-series data. My goal is to build an ARMA or ARIMA model; but after testing, the data proved to be non-stationary .
Non-stationary data, as a rule, are unpredictable and cannot be modeled or forecasted.
Can I adjust the time-series data to make it stationary? If so, what preprocessing method should I use?