JPMorgan Develops Learning Algorithm Could Turn Tables On HFT

A recent technical development touted by JPMorgan could provide institutional investors an advantage in today’s algorithmically-driven markets. The world’s largest bank based on revenue is rolling out an automated stock execution platform that uses machine learning techniques to route orders along the most cost effective path, the Financial Times first reported. The technical mechanism for trading large blocks of stock orders without disrupting market pricing is “significantly better” than an unspecified pricing benchmark and high-frequency trading systems, beating the traditional human method to execute large institutional stock transactions, according to a JPMorgan executive. [dalio] Is JPMorgan technology turning the tables…