Stockify: The Future of Stocks

Inspiration

We were inspired by the Deloitte challenge of data analysis and our combined interest in economics

What it does

Our project predicts the value of a selected stock in 30 days' time.

How I built it

We used dearpygui to create our user interface and used scikit-learn libraries for the stock prediction. We also used the Quandl API to retrieve our data for the prediction

Challenges I ran into

We initially struggled with using dearpygui and the Quandl API due to our inexperience with creating GUIs and using APIs. We also had trouble using GitHub and importing our libraries.

Accomplishments that I'm proud of

We're proud of using integrating APIs and Github for the first time into A project. We are also proud of meeting some cool new people and finishing our project.

What I learned

I learned how to make a modern GUI with dearpygui and my teammate learned a lot about machine learning.

What's next for Stockify: The Future of Stocks

We plan on using more features in the future for our prediction model such as weather, S&P 500, and perhaps even tweets from public figures. We also plan on moving our application to a webapp format to make it more accessible. We also hope to develop a way for it to factor the usage of our app into our predictions.

Built With

• dearpygui
• jupyter-notebooks
• numpy
• pandas
• python
• quandl
• scikit-learn
• vs-code
• vscode