Inspiration
Riding GME to the moon. As well as an interest in machine learning and using it in an informative way.
What it does
Allows people to paper trade in an environment and communicate which stocks are likely undervalued.
How we built it
Python! We had to install a lot of new libraries for stock data and machine learning predictions.
Challenges we ran into
Setting up new environments was tough. Ryan and Megan hadn't used python much before so we ran into issues with installing packages.
Accomplishments that we're proud of
We got the machine learning model working on our machines! And we got real-time and historical stock data.
What we learned
Lots of python programming! There was also got to dive into keras and tensorflow (for machine learning) and yahoo finance library for stock data!
What's next for Stocky
We would like to extend the prediction measures out into the future. Right now it mainly tries to build a model based on past data, but doesn't build out the prediction past 1 week into the future. This would be a big change to the machine learning portion which we didn't have much time to really play around with.
Log in or sign up for Devpost to join the conversation.