Inspiration
I was inspired by the GME and AMC boom. I wanted to create a program that could find the sentiment around a certain stock so "the average joe" could know what people are hyping up now.
What it does
StockPredict 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 (obviously) 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.it'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 StockPredict
Making the python work in the browser with repl.it
Log in or sign up for Devpost to join the conversation.