From barley to castor oil, robusta coffee, steel or soybeans, leverage sentiment
indicators on market-moving news.
RavenPack delivers an exceptionally broad
coverage of carefully curated news, social media,
and data sources:
Highly-granular indicators built using proprietary machine learning
deliver a quantitative analysis of sentiment for each entity involved in
detected events, including credit and sustainability risk.
Make data-driven decisions based on a refined view of various aspects
of news and stay ahead of commodities-related narratives.
Trends develop over weeks and months, but only a sophisticated analytical
framework can detect them as they shape. With RavenPack Edge data, you can analyze
co-mentions networks applied to commodities to identify emerging actors and market shifts.
Explore some of the research published on the use of RavenPack for commodities trading:
Please use your business email. If you don't have one, please email us at firstname.lastname@example.org.
Your request has been recorded and a team member will be in touch soon.
By providing your personal information and submitting your details, you acknowledge that you have read, understood, and agreed to our Privacy Statement and you accept our Terms and Conditions. We value your privacy and assure you that we will handle your personal information with the utmost care and in compliance with our Privacy Statement. You can exercise your rights of access, rectification, erasure, restriction of processing, data portability, and objection by emailing us at email@example.com in accordance with the General Data Protection Rules (GDPR). You also are agreeing to receive occasional updates and communications from RavenPack about resources, events, products, or services that may be of interest to you.