Ting Li, Professor of Digital Business and Jan van Dalen, Associate Professor of Statistics at RSM recently analysed over a million Twitter messages that mentioned stocks listed on the S&P 100 share index. They then developed an algorithm that looked at the sentiment of the tweets and extracted distinct ‘buy’, ‘hold’ and ‘sell’ signals embedded in them. “This study shows the potential value of information on Twitter for making informed trading decisions," comments Li.