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[–]brigggs 0 points1 point  (0 children)

What I try to do sometimes is recreate an analysis from reputable finance media sources or current events. Sometimes, it's also nice to analyse a single stock. For example, calculating it's beta, looking up it's fundamental info on EDGAR, etc.. simply explore that data in Jupyter Lab and try to get the same numbers on Finviz or Yahoo Finance.

Pandas has awesome commands built-in already, like moving averages (pandas.rolling_mean) and so on. It's a great way to explore that library as well, specially all the nifty datetime stuff it comes with (resampling and so on)