Project the market reaction to corporate communications based on the historical relationship between a company’s language and corresponding stock price performance.
Enhance models by incorporating standardized scores that indicate a positive or negative outlook for a company's stock price.
Access analytics generated immediately after communications become available, including predictive sentiment scores of official corporate communications as well as metadata tags and volatility scores.
Data Feed Details
Liquidnet IA Corporate Sentiment Data Feed uses proprietary natural language processing and machine learning technology to deliver predictive analytics on primary source corporate communications from nearly 3,000 U.S. companies. Corporate language is parsed and converted to quantitative data that allows investment professionals to forecast price movement.
Liquidnet is a technology-driven, global institutional investment network that intelligently connects the world’s investors to the world’s investments. Since our founding in 1999, our network has grown to include more than 1,000 institutional investors that collectively manage $33 trillion in equity and fixed income assets.