Stonks

Landing Page
Active Stocks Page
Stock's Page including predicted price

Inspiration

This web app was inspired by the recent Covid-19 pandemic that drastically caused the world stock market to crash - something that has not occurred in over a decade. With stock prices constantly fluctuating, we saw fit for an application that would advise the user on buying certain stocks.

What it does

The purpose of this application is to help everyone make the right decisions when investing in the stock market. We believe that this information should be easily accessible to everyone, such that anyone can make a properly informed decision when investing in the stock market, rather than relying on potentially biased sources of information.

How we built it

Our algorithm uses a machine learning model that predicts stock trend prices in the coming future. It takes into account previous data scraped from the Yahoo Finance website, and then the machine learning model predicts what the stock price will be for the next few days. Considering that the COVID-19 pandemic is an event that drastically changed the economy, we will only be using data starting from when the pandemic first began.

Challenges I ran into

The main challenge we ran into was the unfamiliarity with the frameworks we were using (Tensorflow, Django). It cut into our time having to learn syntax and troubleshoot with setting up the Django framework.

Accomplishments that we are proud of

The fact that we could incorporate machine learning into our application to predict future stock prices.

What we learned

We learned the application of machine learning and how it can be used with global issues such as the stock market situation. Also, we exercised the use of Django framework for making our web app.

What's next for Stonks

In the future, we would like to implement the option to search for specific stocks by their symbol, as well as give reasonable advice whether to invest in the stock or not with respect to the data obtained.