Stock Hopper

Front end
Predicted trend

Inspiration

We wanted to learn how to analyze stocks and pull data from Yahoo Finance to see the latest trends in the stock market.

What it does

It should graph the closing prices of a stock that the user inputs into the search bar over the course of one year. It also goes through and predicts the trend of how the stock will progress and rates the stock's volatility over the past week, month, and year.

How we built it

The frontend was made in HTML and Javascript whereas the backend was built in python and Flask.

Challenges we ran into

Flask had issues scaling, and as a result the backend server was only able to run locally.

Accomplishments that we're proud of

The frontend was able to be successfully deployed, and is responsive! Additionally the prediction tool was able to accurately predict the trends around 70% of the time. This was tested by analyzing all the data but the most recent week and comparing how the predicted trend compared to the actual data.