Fina Technologies
Fina Technologies applies highly parallel supercomputing technology combined with cutting edge machine learning techniques to create quantitative trading algorithms and deliver business solutions for a new class of massively data intensive problems. Fina Technologies, Inc. is a spinoff of Gene Network Sciences (GNS) focused on applying the REFSTM platform and other machine-learning tools to large-data problems in the worlds of finance, insurance, e-commerce, government, and other non-biomedical areas. Fina Technologies applies massively parallel supercomputing technology combined with cutting edge machine learning techniques to create quantitative trading algorithms and deliver business solutions for a new class of massively data intensive applications. In the field of quantitative trading Fina Technologies partners with sophisticated trading houses and funds to employ robust modeling framework to a variety of trading algorithms from straightforward time series prediction to value estimation and factor models. They claim to achieve strong out-of-sample predictive power by using a data agnostic platform that is robust to the over-fitting problem that plagues most automated techniques.
Fina Technologies
Fina Technologies applies highly parallel supercomputing technology combined with cutting edge machine learning techniques to create quantitative trading algorithms and deliver business solutions for a new class of massively data intensive problems. Fina Technologies, Inc. is a spinoff of Gene Network Sciences (GNS) focused on applying the REFSTM platform and other machine-learning tools to large-data problems in the worlds of finance, insurance, e-commerce, government, and other non-biomedical areas. Fina Technologies applies massively parallel supercomputing technology combined with cutting edge machine learning techniques to create quantitative trading algorithms and deliver business solutions for a new class of massively data intensive applications. In the field of quantitative trading Fina Technologies partners with sophisticated trading houses and funds to employ robust modeling framework to a variety of trading algorithms from straightforward time series prediction to value estimation and factor models. They claim to achieve strong out-of-sample predictive power by using a data agnostic platform that is robust to the over-fitting problem that plagues most automated techniques.