CorrelFX
Posted on Friday, July 19th, 2024
Client | Jerichopaul Santos |
Professor(s) | Mejdi Eraslan |
Program | Computer science Engineering Technology |
Students | Justin Charette, Megan Clinch, Adriana Cote, Stefan Djelmo, Cameron Ewing, Skylar Phanenhour |
Project Description:
CorrelFX is a cutting-edge web application designed for novice Forex (foreign exchange) traders. Using the correlation method, CorrelFX helps users find the best currency pairs to trade. The goal is to empower traders with clear insights and easy-to-use tools, so they can make informed decisions and succeed in the dynamic Forex market.
This project is exclusively dedicated to the correlation method and predictive modeling, capitalizing on specific advantageous conditions identified by traders. Industry standard predictive models and tools related to currency exchange pose challenges to beginners due to lack of user-friendliness.