Materials

Real Time ESG Sentiment Tracking From StockSnips

The researchers at StockSnips have been transforming unstructured data into financial sentiment insights for several years. Their AI / ML (Artificial Intelligence / Machine Learning) based system reads thousands of articles and tags the relevant snippets to derive a quantified investor sentiment measure that could drive stock performance. StockSnips has now developed an ESG (Environment, Social, and Governance) signal leveraging the platform used for its Financial Media Sentiment. We have begun adding this data set into CSRHub’s consensus measure of entity ESG performance.

Real Time ESG Sentiment Tracking From StockSnips