Predicting the stock market movement from facial expression of traders

Researchers at Carnegie Mellon University in Pittsburgh, one of the leading institutions for artificial-intelligence research, have embarked on a study using facial-recognition algorithms to track the expressions of traders. Their goal: finding correlations between mood swings and market swings. If the traders look enthusiastic, it might be time to buy. Are thereRead More →