The social data will offer traders additional social data alongside their normal financial metrics.  SMA’s service provides real-time analysis of social mentions in an attempt to predict volatility in stocks and sectors via the level of social mentions.

SMA’s engine seeks to create a social media signature, consisting of seven statistical indicators: S-Score, S-Mean, S-Delta, S-Volatility, S-Buzz, and S-Dispersion, which may allow customers to track relative sentiment, in addition to volume, change, and dispersion of social media commentary.

“Everyone is monitoring what is being said on Twitter now. SMA offers firms the right tool for the job with data that consists of clear, quantified, actionable intelligence on social media sentiment,” said Tom Watson, Vice President, Global Market Data, NYSE Technologies. “We believe this will change the way the financial sector thinks about social media.  For the first time, trading firms, brokers, asset managers, and non-financials in every sector will have a measurable way to track the sentiment of the social media stream of consciousness.”“Social Media is already a large but still rapidly growing means of communication and efficient global interaction.  Many of these conversations discuss companies, stocks and market activity, but until now there hasn’t been a way to collect and quantify this data,” said Joe Gits, CEO of SMA.  “Our process is unique in this emerging field both in its approach to filtering social media data and in the analytical methodology used to develop our proprietary metrics. We are excited to be working with NYSE Technologies to offer this service to a wide range of clients delivered quickly and cost-effectively over the SFTI network.”

This isn’t a new idea.  Last year social research company Sociagility released a study showing that social signals were a good indicator of stock performance.

“Higher social media performance scores were associated with positive changes in share price,” Sociagility said in a statement.

“Of course, many more data points would be required to determine whether or not this represents a real or consistent lead indicator,” the report cautions. “However, the presence of any such statistically significant correlations between social media performance and share price movements should certainly embolden corporate communications directors to go to their CEOs and CFOs and say: ‘Look, this matters, and I need more resources to do it properly.’”

That study was of course measuring how social management correlates to strong share performance.  So it wasn’t looking at social signals per se.  That said however, social mentions have been used to track flu and other epidemics, so it will be interesting to see if social can also provide an indicator into the hive nature of stock trading.