Trading is an area of life in which automation has taken off like little other. While speed is undoubtedly a major selling point of robotrading systems, the ability to act rationally and devoid of emotions is also crucial to the success of such systems.
Despite robotrading taking off, however, human analysts are still prevalent in the financial sector, so it remains crucial to ensure that they act as efficiently as possible. Recent research from the University of Singapore explores whether machine learning can be used to help detect undue emotion in traders and help them act (and trade) more rationally.