CBFORE main target is addressing the struggles that financial Institutional Investors face on a daily basis to assess and control risk on financial markets, through a sophisticated Analytics Engine and highly customizable professional advisory.
CBFORE applies proprietary Artificial Intelligence and Machine Learning algorithms into its data analysis systems in order to model and predict financial markets with high reliability, that can be proved by verifiable track records.
By taking advantage of the Analytics Platform and consultancy provided by CBFORE, Asset Managers and Institutional Investors are able to assess risks on financial markets in real time and for the future, in order to choose the best timing for any trading or investment decision.
The people who joined the CBFORE project are successful entrepreneurs, managers, and asset managers who managed multinational financial Institutions, and who hold excellent track records in trading stocks, options and currencies.
They participate in many important financial associations worldwide, and hold highly recognized professional qualifications.