When we think about "the animal spirits" in the market we do not necessarily think about how to quantify this phenomenon. Inspired by Ken Benoit's talk on NLP and quanteda, I wanted to look into the GameStop Saga and unveil the text patterns posted on Reddit.

What it does

The project is a brief visual analysis of 626,986 Reddit posts from r/wallstreetbets ranging between January 1st, 2021 and February 5th, 2021

How we built it

Using the pushshiftR package, I fetched the Reddit posts. I also used quantmod to download GME stock prices throughout the same period. Later I used quanteda, ggplot, and many other packages to digest and visualize the data.

Challenges we ran into

Time! There was not enough time to work on this!

Accomplishments that we're proud of

I got started on a fun project and got some nice visuals.

What we learned

I learned how to use quanteda and how to manipulate its unique objects.

What's next for The game stop saga

I will probably use this challenge as the starting point of a larger project.

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