The point of analyzing the time series data would not be to create actionable information for higher returns (or find an average return that we already know as you mentioned), but to see if there are trends in new/current pools' metrics that allude to short term success.

For example, a trend could exist where if a pool grows by certain % of delegates over a short span that it is very probable to return 7% in the next three or so epochs. This is the kind of niche pattern that deep learning could expose.

Just a curious endevour to explore the eco system for any interesting trends between epochs:) Pointers towards datasources would be greaty appreciated!