Machine Learning + NLP = Predictive Signals
Social Market Analytics
SMA is the leader in providing predictive sentiment data feeds to the world’s largest financial and trading firms
Founded in 2011, Social Market Analytics, Inc. (SMA) has harnessed the booming and disruptive unstructured Alternative and Traditional noise into predictive and uncorrelated data feeds. SMA provides the quantitative and financial communities an alpha source to enhance returns, reduce risk, and evaluate financial reports. Behind two U.S. Patents, Natural Language Processing, and Machine Learning, SMA has become the market leader in source agnostic textual data analytics
SMA’s Patented process is unique in the emerging field of AI, Machine Learning, Natural Language Processing (NLP), and Topic Modeling. SMA warehouses, normalizes, and produces proprietary metrics across Traditional and Alternative data sets. SMA has specifically designed the 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 with latencies from 300 Milliseconds to 1-Minute, 15-Minute, Daily, and extended baselines out to Weekly, Monthly, and Quarterly signals
Metrics and Scores are calculated at the Security level across all Asset Classes and are rolled up to Sectors and Indices. SMA has eight years of Out of Sample Point-in-Time data. SMA’s technology is source agnostic across both Traditional and Alternative data sets