Social Market Analytics (SMA) S-Factor metrics provide quantitative measures of the intentions of professional investors as expressed on Twitter. SMA's metrics provide raw sentiment as well as a measure of sentiment on the security level relative to its history. Historical back-testing, independent research, and customer feedback support the fact that SMA insights are tradable and can deliver alpha. The SMA Sentiment Data Feed represents a new uncorrelated source of predictive information that can add value to predictive models.
Social Market Analytics, Inc.
- Firm Information
- Social Market Analytics, Inc. (SMA) was founded in early 2012 to create predictive quantitative signals from unstructured data. SMA's patented process develops proprietary metrics using a unique approach that filters social media and textual data. SMA extracts detailed information from sources around the world using algorithms that rely on machine learning and natural language processing.