Pioneer in Computational Learning and Algorithmic Modeling
We combine advanced computational methods and human investment expertise to exploit risk-optimized investment opportunities
Since its foundation in 2002, Stocknomics has been pioneering predictive computer-learning and algorithmic modeling for equities and ETFs agnostic to market conditions. Our proprietary models and short-term trading strategies allow us to maximize potential profits while scientifically minimizing risk.
Stocknomics' computer-learning technology allows for continuous improvement in the quality of our models and in their results, providing clients with unparalleled performance in relation to the markets and other trading strategies.