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Computer Science Department

Stockify: Model for Estimating Stock Performance

Abdullah Salau

Stockify is a program containing estimation models designed to predict whether a particular stock is worth buying (ie. its value will increase) at the end of a year based on numerous financial indicators that act as the model’s independent variables. The program includes multiple binary classification algorithms for prediction, but also showcases algorithm performance results to determine which model works best with an existing dataset that includes stock information from 2014-2018.

Stockify also contains models to predict one of the nominal financial indicators included in the dataset. Similar to the binary classification problem, Stockify also includes the algorithm performance results for each model designed to predict the nominal financial indicator to determine the highest performing algorithm.