Project Delphi - Stock Price Prediction Engine

Inspiration

We were inspired by the FinTech theme and the stock market. We decided that working on a project that involves machine learning and the stock market would be an interesting project to work on, especially since this gives us an opportunity to learn more about machine learning.

What it does

The project takes a ticker symbol as well as a number of days as input from the user. Then, that input is passed to a machine learning algorithm that returns an output of a graph of actual prices and predicted prices, and a predicted price that the stock will be on the future date that the user entered.

How we built it

We built the project primarily using the pandas library.

Challenges we ran into

We first ran into the challenge of difficulties in interpreting the data to be used in the machine learning algorithm, and later in debugging the machine learning program.

Accomplishments that we're proud of

We're proud of being able to submit a workable version of our program in time.

What we learned

We mostly learned how python could be used to code a machine learning program, and we also learned about the differences along with the advantages and disadvantages of some machine learning algorithms.