JP Morgan Doubles Down on Machine Learning for FX Algorithms

JP Morgan is backing the use of machine learning for the future of foreign exchange algorithmic trading, after applying the technology to its FX algos earlier this year. The investment bank launched Deep Neural Network for Algo Execution (DNA) as a tool to bolster its FX algorithms in April, using machine learning to bundle its existing algos into a single execution strategy. JP Morgan said that its decision to create DNA for its FX algos was inspired by technological developments in the equities trading space. The bank launched a proprietary equities trading execution service using machine learning technology in 2017, which also uses reinforcement learning techniques.