Summary: A new hedge fund will be using 'sentiment analysis' of Twitter, a real-time social networking communication tool, to predict changes in the stock market. By using software that they have developed, they say that they have already been able to successfully predict profitable trades.
It's very interesting that someone is finally using Twitter to make financial decisions. As technologies like Twitter allow for faster and faster communication, they become more useful in financial decision-making. This is because changes in public mood are made public (to those with the ability to analyze it) faster than the effect of those changes on the market.
I'd like to know how long changes in twitter-temperament take to become reflected in market prices, as well as if these predictions have only been valuable for specific sectors of the market (I would predict consumer technology as the most accurately predicted sector, as a result of the type of people who I think use Twitter). It would also be cool to see what other chartable data the Twitter-mood can be correlated to.