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 uses a blend of machine learning and NLP to generate predictive signals based on sentiment analysis.
We gather our data from the below listed sources:
• Twitter
• StockTwits
• Regulatory Filings and Earnings Calls
• Trouble Company Reports
• FOMC Minutes
• Ad hoc Sources
Regional Coverage
Global
Cadence
Over twenty metrics calculated in Real-Time 24/7.
Daily, and extended baselines out to Weekly, Monthly, and Quarterly signals are also available.
Sectors / Companies
SMA is the leader in providing predictive sentiment data feeds to the world’s largest financial and trading firms.
Coverage includes:
• Cash Equities - U.S. and LSE Securities rolled up to Sectors and Indices
• Futures - All major global contracts across Equity Index, Forex, Fixed Income, and Commodities
• Currencies - All major Spot Currency Pairs
• ETFs - Currently covered 3000+ Global Exchange Traded Funds
• Indices - Major Indices and Sectors
• Cryptocurrencies - Coverage across 470+ Coins and the CME Futures