Context Analytics
Context Analytics, Inc. (CA), founded in 2012 and formerly known as Social Market Analytics, specializes in sourcing, cleaning, structuring, and analyzing massive amounts of unstructured financial data from alternative and traditional sources to provide investable insights and business intelligence. Their patented technology leverages AI, machine learning, natural language processing, and complex topic modeling to convert textual data such as social media, corporate filings, earnings transcripts, and ESG documents into machine-readable feeds and actionable market intelligence. CA offers a suite of products including the Unstructured Data Terminal (UDT), Social Media Sentiment Data (S-Factor), Global Machine Readable Filings, ESG Data, Market Intelligence, and the Universal Document Processor (UDP). Their data integrates with existing quantitative financial models and is delivered via RESTful JSON APIs with low latency. CA serves major financial institutions and quantitative trading communities, differentiating itself through superior data quality, reliability, transparency, and extensive historical data with backtesting results. Their technology supports global equities, futures, FX, ETFs, cryptocurrencies, and private companies, enabling clients to identify trade opportunities, monitor filings and ESG, conduct competitive analysis, and manage risk efficiently.
Context Analytics
Context Analytics, Inc. (CA), founded in 2012 and formerly known as Social Market Analytics, specializes in sourcing, cleaning, structuring, and analyzing massive amounts of unstructured financial data from alternative and traditional sources to provide investable insights and business intelligence. Their patented technology leverages AI, machine learning, natural language processing, and complex topic modeling to convert textual data such as social media, corporate filings, earnings transcripts, and ESG documents into machine-readable feeds and actionable market intelligence. CA offers a suite of products including the Unstructured Data Terminal (UDT), Social Media Sentiment Data (S-Factor), Global Machine Readable Filings, ESG Data, Market Intelligence, and the Universal Document Processor (UDP). Their data integrates with existing quantitative financial models and is delivered via RESTful JSON APIs with low latency. CA serves major financial institutions and quantitative trading communities, differentiating itself through superior data quality, reliability, transparency, and extensive historical data with backtesting results. Their technology supports global equities, futures, FX, ETFs, cryptocurrencies, and private companies, enabling clients to identify trade opportunities, monitor filings and ESG, conduct competitive analysis, and manage risk efficiently.