Context Analytics
Context Analytics (CA), formerly Social Market Analytics, was founded in 2012 and specializes in sourcing, cleaning, and structuring unstructured financial data to provide investable insights and business intelligence. CA converts massive amounts of unstructured financial data from alternative and traditional sources into machine-readable feeds and searchable market intelligence. Their patented technology leverages AI, Machine Learning, Natural Language Processing, NLP Sentiment, Textual Parsing, Topic Modeling, and Source Rating to deliver quantitative metrics through RESTful JSON APIs. Key products include the Unstructured Data Terminal (UDT), Global Machine Readable Filings, and Social Media Sentiment Data (S-factor). CA partners with major financial institutions, providing them with superior quality, reliability, and consistency in their data offerings. The company's CEO is Joe Gits, a pioneer in quantitative trading systems.
Context Analytics
Context Analytics (CA), formerly Social Market Analytics, was founded in 2012 and specializes in sourcing, cleaning, and structuring unstructured financial data to provide investable insights and business intelligence. CA converts massive amounts of unstructured financial data from alternative and traditional sources into machine-readable feeds and searchable market intelligence. Their patented technology leverages AI, Machine Learning, Natural Language Processing, NLP Sentiment, Textual Parsing, Topic Modeling, and Source Rating to deliver quantitative metrics through RESTful JSON APIs. Key products include the Unstructured Data Terminal (UDT), Global Machine Readable Filings, and Social Media Sentiment Data (S-factor). CA partners with major financial institutions, providing them with superior quality, reliability, and consistency in their data offerings. The company's CEO is Joe Gits, a pioneer in quantitative trading systems.