A machine learning tool providing real-time cryptocurrency market indicators through advanced data processing and a user-friendly interface. Empowering traders and investors with actionable insights for informed decision-making.
This project is part of my curicculum at l'Ecole Centrale de Lille. It takes place over 18 months and consists of a team of 12 students, an enterprise client, and 2 coaches.
Our client, TheDeepCore is a commodities bigdata trading platform. In the context of the project, our client seeks to use technical analysis techniques on cryptocurrency markets.
I worked mainly on ETL (Extract, Load, and Transform) pipelines that use publicly available market data, Web App Development (using NextJs, and Flask), and Machine Learning modelling.
The project is still ongoing.