Context Analytics Launches Quantitative News Feed for Investors

Context Analytics, a leading financial data analytics company, has announced the launch of their newest data source: News Articles. This Quantitative News Feed provides predictive news sentiment for quantitative strategies and alpha generation, offering investors actionable insights for their trading decisions.

With coverage from over 3,000 news sources and analysis of more than 4,000 unique companies, Context Analytics’ proprietary natural language processing technology scores news articles at the individual level, providing sentiment metrics that are independent of social media sentiment data. This unique perspective on market sentiment can help investors make informed decisions and potentially outperform the market.

Features of the Quantitative News Feed include machine-readable format, alpha generation, risk mitigation, and customized solutions. CEO Joe Gits emphasizes the correlation between news sentiment and market returns, highlighting the value proposition of their news data feed for investors. This data can offer strategic insights for traders and fund managers, helping them identify potential winners and avoid under-performers.

Founded in 2011, Context Analytics specializes in sourcing, cleaning, structuring, and analyzing textual data for investable insights and business intelligence. Their expertise in sentiment natural language processing, source agnostic textual parsing, complex topic modeling, and source accuracy sets them apart in the FinTech industry. Investors and businesses can leverage their data sources to evaluate financial data sets, enhance returns, and reduce risk.

For more information on Context Analytics and their Quantitative News Feed, visit their website at https://stats.nwe.io/x/html?final=aHR0cHM6Ly93d3cuY29udGV4dGFuYWx5dGljcy1haS5jb20v. Stay tuned for the latest updates and insights from Context Analytics Inc.