dub-em/Automated-Web-Application-for-predicting-high-impact-Forex-Economic-News-Release

This project entails the use of Beautiful soups and Selenium APIs to web-scrape an Economic News Release website of historic data of various interdependent news releases, loads (updates) these extracted and transformed data into an IBM DB2 database, and then applies classification and regression machine learning algorithms on the updated database, in order to predict the most impactful news releases in the Forex Calendar.

Jupyter Notebook