In order to find our whether there are stock microbloggers who consistently provide better investment advice than others we have used our proprietary classification method to classify each tweet in a 6-month sample period as a recommendation to buy, hold, or sell a stock. We define the quality of a tweet as the accuracy of this recommendation relative to same-day returns of the stock in question (i.e., the tweet "$AAPL going up" gets a point if AAPL was up by the end of the day). The quality of a particular user is the average quality of all tweets posted by this individual. We find that even among users with hundreds of messages, we can identify some that seem to consistently provide higher quality investment advice than others. And the winner is...
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