How to use S-Score^TM ?

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. 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-Score^TM

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. www.socialmarketanalytics.com

*NOTE: SMA does not provide, nor intend to provide, professional advice, including but not limited to, investment or tax advice.

Disclaimer: The information in the market commentaries have been obtained from sources believed to be reliable, but we do not guarantee its accuracy and expressly disclaim all liability. Neither the information nor any opinions expressed therein constitutes a solicitation of the purchase or sale of any futures or options contracts. The information on this site compiled by Social Market Analytics is for general purposes only. All information and data herein is provided as-is. Social Market Analytics assumes no responsibility for any errors or omissions. Social Market Analytics, its affiliates and any third party information and content providers expressly disclaim all liability with respect to the information and data contained herein including without limitation, any liability with respect to the accuracy or completeness of any data. You use the data herein solely at your own risk. All data and information provided herein is not intended for trading purposes or for trading advice.