I was inspired by the GME boom. I wanted to create a program that could find the sentiment analysis of a certain stock so "the average joe" could know what people are hyping up now.

What it does

Social Stock uses the Twitter API and a sentiment analysis program that allows us to look at hundreds of tweets and find the sentiment of each tweet. From that, I was able to graph these points to show the users the overall analysis of the stock.

How we built it

Using Python and its abundance of packages. Also, I used the Twitter API and HTML to display the webpage. Finally, I used to display and run the python code in the browser.

Challenges we ran into

I ran into a big challenge finding a way to put the python code on a webpage. Since flask or Django was not working, I had to resort to using repl's embed code function.

Accomplishments that we're proud of

I'm proud to find a way to use Twitter's API and connect it to the sentiment analysis to hopefully show people the view on a certain stock

What we learned

I learned a lot about the Twitter API and python in general

What's next for Social Stock

Making the python work in the browser with and using other social medias.

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