Publication at Faculty of Mathematics and Physics |
2021
Abstract
STOCK is a modular, scalable, and extensible framework that enables users to gain insight in the stock market by user-friendly combination of three sources of information: (1) An easy access to the companies' current position and evolution of prices. (2) Prediction models and their customisation according to users' needs and interests, regardless of their knowledge in the field. (3) Results of sentiment analysis of related news that may influence the respective changes in prices.