We were interested in predicting something as random as the stock market. Originally, we used Django to communicate between a web server and our local servers but kept getting the same error code for hours straight. We decided to then compress everything into Jupyter Notebook and collect the user input there. By completing this project we learned how to import libraries into Python to extract data and how to troubleshoot complex bugs like the ones in Django.
Stock Recommender
A program based on historical stock data to advise the user on the smartest investment moves based on a given stock.
Updates
Leave feedback in the comments!
Log in or sign up for Devpost to join the conversation.