I'm just beginning to learn about time series analysis for my final year project at uni and I am confused about stationarity.

A time series has to be stationary to be able to apply an ARMA model, however surely if a time series is stationary it is a white noise process and therefore cannot be predicted. Can anyone please point out what I am missing here?

Thank you,

Zeke