MacMarque aims to eliminate the barriers of entry for stock investment by providing information and advise for all S&P500 companies at a fraction of the cost of a stock advisor. Through the use of machine learning, we are able to predict the future value of stock within an accuracy of 80-89%. This information is combined with the correlation values of price level changes and financial statements values to give users tailored advise based on their investment strategy.
- Python backend
- Pandas for Data Mannipulation and Analysis.
- Scikit-Learn for Machine Learning Model
- Marquee API from Goldman Sachs
- HTML,CSS, and JS for Front End
- Integrate automated trading features
- Increase number of variables used in regression
- Implement tools that will educate users on finace