Meteo-logic’s mission is to bring unique algo-trading and weather prediction capabilities into the energy commodity market, in order to leverage its enormous financial opportunities. Our expertise is quantifiable weather derivatives prediction based on state-of-the-art, big data and machine learning technologies. As weather is inherently but inextricably linked to energy supply and demand – both for renewable energy and other traditional energy assets- our adaptive, self-learning algorithms, processing millions of records of price history and synoptic data, learn how to crack down on these links and produce highly accurate price predictions. With global weather’s obvious impact on energy assets price fluctuations, our price prediction provides an unfair advantage in energy commodity trading. Because our solution is location-agnostic, Meteo-Logic technology is applicable for various exchanges and asset classes around the world, reaching a huge market size that opens room for big algo-trading plays. Meteo–Logic algorithms rely on more than a decade of experience in the field of high-frequency financial algo-trading, with exceptional proven performance and business success. Led by the core team that developed the original trading technology over years, the company has the confidence of further improving its trading machine to exceptional performance in all of its markets.