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 repl.it 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 repl.it and using other social medias.