How to use S-ScoreTM ?

Over the past several years, social media sources like Twitter are being used more frequently to distribute company news, information, and analysis of Futures and Options.

Social Market Analytics (SMA) predictive analytics delivers S-Score's through APIs to quantitative systemic trading firms. Lightspeed uses the same API to visually display the S-Score. The S-Score is expressed as deviation from normal tone of conversation on a standard normal scale of -4.5 to +4.5. An S-Score of -2.0 or +2.0 represent that the conversation is 98.6% more negative or positive over the past 24 hours compared to a 20-day baseline. At levels above +2 and below -2, conversations become statistically significant and the securities start seeing movement in the direction of sentiment over the next 1 hour to 1 day.

S-Score are used as market intelligence for new trade ideas, position monitoring, and trade timing.

Introducing Social Sentiment and S-ScoreTM

Social Market Analytics, Inc. (SMA) is the leader in social media predictive data analytics using forward looking Tweets. The S-Score uses Patented machine learning, natural language processing and account rating algorithms to produce predictive metrics in real time. The S-Score is a 24H look back with a 20-Day baseline producing an intra-day signal out to 2-3 days.


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