I embarked on this project because I want to help people make smarter financial choices, by having a better sense of where to put their money.
What it does
It takes all the Bloomberg information and parses through it and then gives that information to the Machine-learning Prediction API, to give suggestions.
How I built it
I used Python to go through the data and parse through it. I then formatted the parsed data to be sent to the Prediction API on the google cloud.
Challenges I ran into
Prediction API wasn't what I expected it to be.
Accomplishments that I'm proud of
Getting the prediction API to produce actual results.
What I learned
Practice makes perfect.
What's next for easy-mon3y
Hopefully getting more data, and making it more public.