CHICAGO, April 1, 2026 /PRNewswire/ — Barchart, a leading provider of data, intelligence and trading solutions for commodity and financial markets, today announced expanded access to global fundamental data and research capabilities within its cmdtyView platform. This delivers a deeper, more integrated experience for analyzing physical, economic, and trade data that sits at the center of the global commodity supply chain.

As global commodity markets become more interconnected and data-driven, firms across agriculture, trading, and food production are placing greater emphasis on combining real-time market intelligence with deep fundamental research. cmdtyView brings these capabilities together in a single workflow, allowing users to seamlessly analyze supply and demand, production and consumption, imports and exports, and broader economic drivers alongside futures markets and physical pricing.

cmdtyView simplifies how users work with large and complex fundamental datasets. An intuitive navigation structure leads users through selecting data sources, categories, commodities, and dataset-specific attributes, making it easier to access and analyze the data most relevant to their workflows.

“cmdtyView has always been about embedding intelligence directly into the workflows of commodity professionals,” said Brendan Hebert, Director of Product Management at Barchart. “With expanded access to global fundamental data, we are making it easier for users to connect research, market activity, and decision-making in one place.”

Users can visualize and analyze datasets from global reporting agencies across key commodity markets, including grains, oilseeds, livestock and soft commodities such as coffee, cocoa, sugar and cotton. Users can build custom visualizations using one or multiple fundamental instruments from Barchart’s extensive data catalogue, creating tailored research views aligned to their specific strategies.

Once constructed, datasets are automatically displayed in a seasonal format, allowing users to quickly compare current conditions against historical trends. Flexible timeframe options including marketing year, calendar year, or custom ranges, combined with up to 30 years of historical data, provide deeper context for long-term analysis and forecasting.

“This is about turning raw data into usable research,” said Will Osnato, Director of Commodity Data Research and Analysis at Barchart. “Users can now bring together global fundamental datasets, layer them against market activity, and immediately understand how today compares to historical patterns. That is incredibly powerful for anyone making decisions in commodity markets.”

By integrating fundamental data directly alongside futures markets, physical pricing, risk management and trading, cmdtyView continues to position itself as the central hub for commodity professionals. Key capabilities include:

Intuitive navigation designed to manage and explore large, complex global datasets
Unified access to extensive fundamental data from global reporting agencies
Coverage across grains, oilseeds, livestock and soft commodities including coffee, cocoa, sugar and cotton
Custom visualization of single or multiple fundamental instruments
Seasonal views to compare current versus historical market conditions
Flexible timeframe selection including marketing year, calendar year, or custom ranges
Up to 30 years of historical data for deep research and analysis

In-depth access to global fundamental commodity data is now available to all cmdtyView Pro users.

To learn more, visit www.barchart.com/cmdtyview.

About Barchart
‍Barchart is a leading provider of market data and services to the global financial, media, and commodity industries. Our diversified client base trusts Barchart’s innovative Solutions across data, software, and technology to power their operation from front to back office, while our Media brands enable financial and commodity professionals to make decisions through web content, news, and publications. For more information, please visit www.barchart.com/solutions.