Using machine learning to explain extreme price moves

Understanding extreme asset price changes involves combining price history, news, events and social media data, much of which is only available in the form of unstructured text. By applying machine learning technologies to a real-time data pipeline, Refinitiv Labs has developed a prototype to help traders identify and respond to extreme price moves at pace. For more data-driven insights in your Inbox, subscribe to the Refinitiv Perspectives weekly newsletter. Data is abundant, not only in volume, but also in the number of sources it is derived from, the frequency at which it is updated, and the variety of formats it may take. Time spent sorting through that data, however, can keep businesses from generating actionable information at pace.