This looks to me like something they’d be using for internal capacity planning. If so, they’d be asking it questions like, “how much capacity do we build out for the upcoming holiday rush?” I wouldn't be surprised if financial datasets are very noisy compared to service capacity metrics. I didn’t read the paper though, maybe this is addressed and maybe I’m wrong about the use case! But stuff like the below from the docs reads like capacity planning tool to me:
> As an example, let’s look at a time series of the log daily page views for the Wikipedia page for Peyton Manning. We scraped this data using the Wikipediatrend package in R. Peyton Manning provides a nice example because it illustrates some of Prophet’s features, like multiple seasonality, changing growth rates, and the ability to model special days (such as Manning’s playoff and superbowl appearances).
> As an example, let’s look at a time series of the log daily page views for the Wikipedia page for Peyton Manning. We scraped this data using the Wikipediatrend package in R. Peyton Manning provides a nice example because it illustrates some of Prophet’s features, like multiple seasonality, changing growth rates, and the ability to model special days (such as Manning’s playoff and superbowl appearances).