Hashtag-FollowTheMarket

Client: David Rubin, Bloomberg <drubin19@bloomberg.net>

Sentiment analysis of social media is now fairly routine, but it's still relatively new in the world of finance. Coupling popular sentiment with market data could provide a very useful tool for financial decision makers. Your task is to derive sentiment data from Twitter and present its relationship to market data in a tool for traders to test their knowledge of the market. The user selects a date range and a stock, and is then asked to sketch a graph of how they believe popular sentiment and stock price trends behaved over that time. The system gives visual feedback, and awards a competition score based on comparison to the actual data. This system might be used simply for practice and training, or as a game for would-be traders. But in the long term, statistical data showing the ways in which the judgments of real traders predict (or lag) Twitter trends might provide an extremely valuable product!