HotStoks

Inspiration

The inspiration for our bot comes from apps like RobinHood and Coinbase to add more of a social aspect.

What it does

HotStoks is a web application that uses a natural language processing to scan twitter for tweets and posts about certain assets. Our algorithm then determines if it is a negative or positive rating and we recommend the asset to the user based on that rating.

How we built it

We used Next.js with Tailwins CSS. We used Python for the natural language processing algorithm and Node.js for the rest of the backend.

Challenges we ran into

We had trouble getting our Python functions to run on JavaScript frontend

Accomplishments that we're proud of

Our frontend for our website is very nice and something I'm proud of. Our search bar also automatically refreshes based on what stock is entered.

What we learned

We learned more on how to integrate APIs into our projects as we used the FinHub API a lot. We also learned how to create an NLP algorithm.

What's next for HotStoks

Adding user login and more features.

Built With

• finhub
• nextjs
• react
• tailwindcss