Machine Learning + NLP = PredictiveSignal™
Social Market Analytics
SMA is the leader in providing predictive sentiment data feeds to the world’s largest financial and trading firms
Who we are
Founded in 2012, Social Market Analytics, Inc. (SMA) has harnessed the booming and disruptive unstructured social media noise into a new predictive and uncorrelated alternative data feed. SMA provides the quantitative community an alpha source to enhance returns and reduce risk. Behind Patented IP, Natural Language Processing, and Machine Learning algorithms, SMA has become the market leader in source agnostic textual data analytics
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What we do
SMA’s Patented process is unique in the emerging alternate data field of AI, Machine Learning and Natural Language Processing (NLP) both in its approach to filtering social media and textual data and in the analytical methodology and algorithms used to develop our proprietary metrics. We have specifically designed our data to integrate with existing quantitative models commonly used in the financial industry
SMA provides four distinct APIs: S-Factor, Activity, Tweet Level, and Lexical providing multiple granularities and time frames to optimize trading models. SMA data serves the quantitative, macro, and asset management community delivering quantitative metrics through a RESTful JSON API or XML with latency as low as 300 milliseconds to 1-minute, 15-minute, daily and extended baselines out to weekly, monthly, quarterly and yearly signals
Metrics and Scores are calculated at the security level across all of our asset classes and are rolled up to sectors and indices. SMA have over six years of out of sample data. SMA also produces customized reports. Our technology is source agnostic and applicable to virtually any source of unstructured data
