What is Commodity Data? Definition, Sources & Datasets to buy
What is Commodity Data?
Commodity data refers to information about raw materials or primary agricultural products that can be bought and sold, such as oil, gold, wheat, or coffee. It includes data on prices, supply and demand, production, inventories, and other relevant factors that impact the commodity markets. Commodity data is crucial for traders, investors, and businesses to make informed decisions and manage risks in these markets.
Examples of commodity data include information on the prices, supply and demand, production, and consumption of various raw materials such as oil, gas, metals, agricultural products, and energy. Commodity data is used by traders, investors, analysts, and researchers to make informed decisions in the commodities market. It helps them understand market trends, assess risks, and develop strategies.
Best Commodity Databases & Datasets
Here is our curated selection of top Commodity Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Global Commodity Data / Commodity Prices Data - Over 60+ Commodities
Tradefeeds Commodity Prices API
Commodity Prices API by Finnworlds
RS Metrics MetalSignals™ - Commodity Insights
Xavvy: Energy Data & Commodity Data—AdBlue/DEF prices for 44,000+ EU stations, plus Market, Oil & Gas, and Brand insights via API and datasets.
IvyDB Futures - Historical and EOD Futures Data, Futures Data, Commodity Data, Options Data, Option Prices and Implied Volatility Data Since 2005
Financial Derivatives EoD Pricing | Commodities Options & Futures
Crawlbee | Asset Pricing Data | Bankruptcy Data | Foreclosure Data | Historical Dataset
Polyethylene (PE) Service: Commodity Data for Russia, Belarus, Ukraine, Kazakhstan and Uzbekistan - Market Report Company
InfoTrie Implied Volatility - Options trading globally
Monetize data on Datarade Marketplace
Top Commodity Data Providers & Companies
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InfoTrie
Offers Data forUSAUnited Kingdom+247InfoTrie: Global Data Intelligence Leader since 2012. Unleash insights from unstructured data. Alternative datasets on E-commerce, SEC Filings,... -
Cbonds
Offers Data forUSAUnited Kingdom+247Cbonds is a global data provider with the main focus on the fixed income market. Founded in 2000, the agency has gained a reputation as a respected... -
CrawlBee
Offers Data forUSAUnited Kingdom+247In the dynamic world of data, CrawlBee stands as a beacon of precision, innovation, and reliability. We specialize in harvesting a vast array of... -
OptionMetrics
Offers Data forUSAUnited Kingdom+63With 25 years as the premier provider of historical options and implied volatility data, OptionMetrics distributes its options, futures, beta, and... -
RS Metrics
Offers Data forUSAUnited Kingdom+238RS Metrics analyzes and derives data from satellite and aerial imagery to provide fundamental insights, trends and predictive signals for...
Popular Use Cases for Commodity Data
Commodity Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Commodity Data.
Frequently Asked Questions
Where Can I Buy Commodity Data?
You can explore our data marketplace to find a variety of Commodity Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of Commodity Data Maintained?
The quality of Commodity Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Commodity Data Updated?
The update frequency for Commodity Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Commodity Data Secure?
The security of Commodity Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Commodity Data Delivered?
Commodity Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Commodity Data.
How Much Does Commodity Data Cost?
The cost of Commodity Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Commodity Data for your needs.
What Are Similar Data Types to Commodity Data?
Commodity Data is similar to other data types, such as Stock Market Data, Alternative Data, ESG Data, Credit Rating Data, and Currency Data. These related categories are often used together for applications like Trading and Portfolio Optimization.
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