Stock Sense

Front Page of App

Inspiration

Investing is quite difficult to get started with as it is created to be inaccessible to the general public. We wanted to create an environment in which new investors would be able to receive help that would allow them to get their foot in the door.

What it does

It provides helpful suggestions on possible stock purchases the user could make depending on their income set aside for investing and preferred sectors.

How we built it

Using Swift for the UI, python for the algorithm to process the real-time data, and APIs to collect the data, this application was created.

Challenges we ran into

Since Python is not a language native to the Xcode IDE, finding ways to work around that was an obstacle we had to overcome. The math used in the application was also unfamiliar, giving us something else to learn.

Accomplishments that we're proud of

The beautiful UI in conjunction with the complex predication algorithm gave us an application we have pride in.

What we learned

We learned how to combine Python and Swift in order to integrate the complex front and back ends of our application.

What's next for Stock Sense

This project can be expanded upon by a wider set of companies added the the databases available. This would help us narrow down the accuracy of our algorithms by providing them with a larger scope of data. Finally, we will implement more security measures on the app, adding privacy to the users.