mql5

Henri Waelbroeck seems to fit the popular image of the scientist transplanted into the world of high finance and hedge fund trading, the sort of stereotype found in books like "The Fear Index" by Robert Harris.

Waelbroeck, director of research at machine learning-enhanced trade execution system Portware, was previously a professor at the Institute of Nuclear Sciences at the National University of Mexico (UNAM). His areas of expertise include: complex systems science, quantum gravity theories, genetic algorithms, artificial neural networks, chaos theory.

The impression Waelbroeck conveys is one of precision. He explains that algorithms have grown in complexity since being introduced to the world of trading around 2000. This has made it increasingly difficult for traders to understand each vendor's full algorithm platform and how to optimally select an algorithm for each particular trade that comes in from a portfolio manager. Portware leverages artificial intelligence to help traders use execution algorithms and in some cases provides automated execution solutions that select the optimal control parameters on algorithms.

"Our work really has focused on two objectives: the first is to find an optimal execution schedule for each trade, and the second is to interact with the order flow more efficiently to avoid the harmful effects of high frequency trading (HFT)," Waelbroeck told IBTimes.

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