More and more equity research firms are taking the “intuition” out of their research and basing recommendations only on data. One huge source of data is news. By extracting headlines and article copy and using that data for predictive analysis, investment firms gain valuable insight into trends, events, and shifting views that affect companies, sectors, and products they are tracking.
Recently, Nasdaq added global news to its Analytics Hub. Collecting this data helps investors “discern and quantify relationships among financial, economic, socio-economic and political forces to help investors manage risk and maximize returns.”
Gathering news articles manually is time consuming. Especially when global news in many languages is needed for predictive analysis. Luckily, Import.io has developed a solution specifically for extracting thousands of news sources continuously, because news is a continuous source of data.
Import.io uses machine learning to determine how to extract new articles no matter the language or structure of the news site. Equity research firms use this aggregate news data to feed their own machine learning algorithms and predict investment success. Investment firms build strategies for their clients using this alternative data combined with top-down research.
Extracting news isn’t only for equity research. Any organization looking for trends, cycles, and consumer sentiment can take advantage of news article extraction.
Time is of the essence. Start now to build your database of relevant articles to monitor changes overtime and ensure that you’ve captured news articles that may not be available in the future.
Let Import.io help you build a database of news articles for your predictive analytics.