Graph and download economic data for Global Price Index of All Commodities (PALLFNFINDEXQ) from Q1 2003 to Q2 2025 about World, commodities, price index, indexes, and price.

GSCI fell to 556.57 Index Points on December 2, 2025, down 0.34% from the previous day. Over the past month, GSCI's price has fallen 0.80%, but it is still 3.06% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on December of 2025.

CRB Index rose to 378.33 Index Points on December 1, 2025, up 0.45% from the previous day. Over the past month, CRB Index's price has fallen 0.80%, but it is still 10.95% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on December of 2025.

Historical commodity (daily) price from 2000-2022 (March). 1. Gold 2. Palladium 3. Nickel 4. Brent Oil 5. Natural Gas 6. Wheat

• cover image credit: https://www.pexels.com/photo/industrial-machine-during-golden-hour-162568/

S&P Global Commodity Insights is the leading independent provider of information, benchmark prices, and analytics for the energy and commodities markets.

Corn rose to 433.53 USd/BU on December 2, 2025, up 0.01% from the previous day. Over the past month, Corn's price has fallen 0.17%, but it is still 2.43% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Corn - values, historical data, forecasts and news - updated on December of 2025.

Commodity Price Risk Dashboards Market Outlook

According to our latest research, the global commodity price risk dashboards market size reached USD 1.45 billion in 2024, reflecting the growing importance of real-time risk management tools in volatile commodity markets. With a robust compound annual growth rate (CAGR) of 10.6%, the market is projected to expand to USD 3.62 billion by 2033. This impressive growth is primarily driven by the increasing complexity of global supply chains, heightened geopolitical risks, and the escalating demand for data-driven decision-making across industries.

One of the most significant growth factors fueling the commodity price risk dashboards market is the increasing volatility and unpredictability in global commodity prices. Over the past decade, geopolitical tensions, trade disputes, and climate change events have contributed to sharp fluctuations in the prices of essential commodities such as oil, agricultural products, and metals. Enterprises and financial institutions are under mounting pressure to manage exposure to price risks more efficiently. As a result, organizations are rapidly adopting advanced dashboards that offer real-time price monitoring, predictive analytics, and scenario modeling capabilities. These tools empower stakeholders to make informed decisions, optimize procurement strategies, and safeguard profit margins against unpredictable market swings.

Another key driver is the digital transformation sweeping across industries, particularly in sectors with significant exposure to commodity risks such as energy, agriculture, and manufacturing. The integration of artificial intelligence, machine learning, and big data analytics into commodity price risk dashboards has elevated their value proposition. Modern dashboards can now process vast datasets from multiple sources, offering actionable insights and automated alerts. This technological evolution has not only improved the accuracy of risk assessments but also enhanced the speed at which organizations can respond to market movements. The growing emphasis on automation and data-driven strategies is expected to sustain robust demand for commodity price risk dashboards throughout the forecast period.

Furthermore, stringent regulatory requirements and the growing need for transparency in financial reporting have compelled organizations to adopt sophisticated risk management solutions. Regulatory bodies across the globe are mandating more comprehensive reporting and risk disclosure standards, particularly for companies engaged in commodity trading and procurement. Commodity price risk dashboards facilitate compliance by providing auditable records, detailed analytics, and customizable reporting features. This regulatory push, coupled with the increasing adoption of enterprise risk management frameworks, is anticipated to further stimulate market growth, as organizations seek to align their risk management practices with global standards.

From a regional perspective, North America currently leads the commodity price risk dashboards market, accounting for the largest share in 2024. This dominance is attributed to the presence of major commodity trading hubs, advanced technological infrastructure, and a high concentration of multinational corporations. However, Asia Pacific is poised to exhibit the highest growth rate during the forecast period, driven by rapid industrialization, expanding commodity markets, and increasing investments in digital transformation initiatives. Europe also remains a significant market, supported by robust regulatory frameworks and a strong emphasis on sustainability and risk management in commodity-intensive industries.

Component Analysis

The commodity price risk dashboards market is segmented by component into software and services, each playing a pivotal role in addressing the diverse needs of end-users. Software solutions constitute the core of risk management, offering advanced functionalities such as real-time price tracking, analytics,

This dataset contains historical daily price data for WTI (West Texas Intermediate) and Brent Crude Oil futures contracts. The data spans from April 5, 2017, to April 10, 2024, and includes key pricing information such as opening, closing, high, low, average prices, and volume for each trading day. The data was sourced using the Interactive Brokers API and includes futures contract details for both WTI and Brent Crude Oil traded on the NYMEX exchange. This dataset can be used for time series analysis, forecasting, and other financial applications related to the oil market.

Overview

The data refers to Daily prices of various commodities in India like Tomato, Potato, Brinjal, Wheat etc. It has the wholesale maximum price, minimum price and modal price on daily basis. the prices in the dataset refer to the wholesale prices of various commodities per quintal (100 kg) in Indian rupees. The wholesale price is the price at which goods are sold in large quantities to retailers or distributors.

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Features of the dataset include:

• State: The state in India where the market is located.
• District: The district in India where the market is located.
• Market: The name of the market.
• Commodity: The name of the commodity.
• Variety: The variety of the commodity.
• Grade: The grade or quality of the commodity.
• Min Price: (INR) The minimum wholesale price of the commodity on a given day, per quintal (100 kg).
• Max Price: (INR) The maximum wholesale price of the commodity on a given day, per quintal (100 kg).
• Modal Price: (INR) The most common or representative wholesale price of the commodity on a given day, per quintal (100 kg).

1 INR = 0.012 USD (as on 17 August, 2023)

Use Cases

Market analysis: You can use this dataset to analyze trends and patterns in the wholesale prices of various commodities across different markets in India. This can help you understand factors that affect prices, such as supply and demand, seasonality, and market conditions. Commodity recommendation: Develop recommender systems that suggest the best markets or commodities for farmers or traders to sell or buy based on their location, preferences, and market conditions.

Licensed under the Government Open Data License - India (GODL) https://data.gov.in/government-open-data-license-india

Feel free to download the data and use it in your work. I will wait for interesting notebooks from your side. Thank you

In 2024, the average price for aluminum stood at 2,419 nominal U.S. dollars per metric ton. This statistic depicts the average annual prices for aluminum from 2014 through 2026.

Orange Juice fell to 147.99 USd/Lbs on December 2, 2025, down 0.38% from the previous day. Over the past month, Orange Juice's price has fallen 15.22%, and is down 71.10% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Orange Juice - values, historical data, forecasts and news - updated on December of 2025.

This dataset provides the current daily prices of various commodities sourced from multiple markets (mandis) across different regions. It includes detailed information on the market names, commodity types, and their respective prices, offering a snapshot of real-time agricultural and other commodity market trends. The data is valuable for farmers, traders, and analysts to monitor price fluctuations, compare regional price variations, and make informed decisions. It offers insights into supply and demand dynamics, and market conditions, and helps in understanding the economic factors affecting commodity pricing. This dataset supports decision-making, price forecasting, and market research.

Commodity Hedging Platforms for Corporates Market Outlook

According to our latest research, the global Commodity Hedging Platforms for Corporates market size reached USD 4.8 billion in 2024, reflecting the accelerating adoption of digital risk management tools by corporations across diverse sectors. With a robust compound annual growth rate (CAGR) of 11.2% projected for the forecast period, the market is anticipated to reach USD 13.3 billion by 2033. This remarkable growth is driven by increasing market volatility, stricter regulatory requirements, and the need for real-time, data-driven decision-making solutions in commodity trading and risk management.

The rapid expansion of the Commodity Hedging Platforms for Corporates market is primarily attributed to the intensifying volatility in global commodity prices, which has made risk mitigation a top priority for businesses. Corporates in sectors such as energy, manufacturing, agriculture, and metals & mining are increasingly leveraging sophisticated hedging platforms to safeguard their profit margins and ensure business continuity. The proliferation of advanced analytics, artificial intelligence, and automation within these platforms is further enhancing their value proposition, enabling organizations to respond swiftly to market changes and optimize their commodity portfolios. As a result, the demand for integrated, end-to-end hedging solutions has surged, fueling market growth.

Another significant growth factor is the evolving regulatory landscape surrounding commodity trading and risk management. Governments and industry regulators worldwide are mandating greater transparency, robust compliance mechanisms, and enhanced reporting standards. This has compelled corporates to invest in comprehensive hedging platforms that not only facilitate effective risk management but also streamline compliance and reporting processes. The ability of these platforms to centralize data, automate documentation, and generate real-time compliance reports is proving indispensable for organizations seeking to avoid regulatory penalties and maintain stakeholder trust.

The digital transformation of treasury and risk management functions within large enterprises and small and medium enterprises (SMEs) is also a key driver for the market. The adoption of cloud-based solutions, integration of blockchain for secure transactions, and the use of predictive analytics are transforming traditional hedging practices. These technological advancements are lowering the barriers to entry for smaller firms, democratizing access to sophisticated risk management tools, and expanding the addressable market. Furthermore, partnerships between platform providers and financial institutions are creating innovative service models, further accelerating the market’s growth trajectory.

From a regional perspective, North America currently dominates the Commodity Hedging Platforms for Corporates market, accounting for the largest share due to the presence of major multinational corporations, advanced financial infrastructure, and early adoption of digital risk management solutions. However, Asia Pacific is emerging as the fastest-growing region, driven by the rapid industrialization of economies such as China and India, increased commodity trading activity, and growing awareness of the importance of risk mitigation. Europe also represents a significant market, buoyed by stringent regulatory frameworks and a strong focus on sustainable supply chain practices. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth, propelled by the expansion of commodity-driven industries and the gradual adoption of digital platforms.

Component Analysis

The Component segment of the Commodity Hedging Platforms for Corporates market is bifurcated into Software and Services, each playing a pivotal role in the ecosystem. Software solutions form the backbone of hedging platforms, encompassing mod

Search LSEG's Commodities Data, and find global pricing, exchanges, and fundamentals for energy, agriculture, and metals.

On October 27, 2025, the Brent crude oil price stood at 65.14 U.S. dollars per barrel, compared to 61.31 U.S. dollars for WTI oil and 67.54 U.S. dollars for the OPEC basket. Oil prices rose slightly that week.Europe's Brent crude oil, the U.S. WTI crude oil, and OPEC's basket are three of the most important benchmarks used by traders as reference for global oil and gasoline prices. Lowest ever oil prices during coronavirus pandemic In 2020, the coronavirus pandemic resulted in crude oil prices hitting a major slump as oil demand drastically declined following lockdowns and travel restrictions. Initial outlooks and uncertainty surrounding the course of the pandemic brought about a disagreement between two of the largest oil producers, Russia and Saudi Arabia, in early March. Bilateral talks between global oil producers ended in agreement on April 13th, with promises to cut petroleum output and hopes rising that these might help stabilize the oil price in the coming weeks. However, with storage facilities and oil tankers quickly filling up, fears grew over where to store excess oil, leading to benchmark prices seeing record negative prices between April 20 and April 22, 2020. How crude oil prices are determined As with most commodities, crude oil prices are impacted by supply and demand, as well as inventories and market sentiment. However, as oil is most often traded in future contracts (where a contract is agreed upon while product delivery will follow in the next two to three months), market speculation is one of the principal determinants for oil prices. Traders make conclusions on how production output and consumer demand will likely develop over the coming months, leaving room for uncertainty. Spot prices differ from futures in so far as they reflect the current market price of a commodity.

Commodity Price Risk Analytics for SMEs Market Outlook

According to our latest research, the global Commodity Price Risk Analytics for SMEs market size reached USD 1.42 billion in 2024, registering a robust year-on-year growth. The market is expected to expand at a CAGR of 11.7% during the forecast period, reaching approximately USD 4.07 billion by 2033. This growth is primarily driven by the increasing volatility in global commodity prices, which is compelling small and medium enterprises (SMEs) to adopt advanced risk analytics solutions to safeguard their profitability and ensure business continuity.

A significant factor propelling the expansion of the Commodity Price Risk Analytics for SMEs market is the heightened awareness among SMEs regarding the adverse impacts of commodity price fluctuations. With global supply chains becoming increasingly complex and susceptible to geopolitical tensions, natural disasters, and regulatory changes, SMEs are recognizing the necessity for sophisticated analytics tools. These solutions enable businesses to proactively monitor, predict, and hedge against price risks, thereby minimizing financial exposure. The democratization of data analytics and the proliferation of user-friendly platforms have further lowered the entry barriers for SMEs, empowering them to make data-driven decisions that were previously accessible only to larger enterprises.

Another key driver for the market is the rapid digital transformation across all sectors, which has made advanced analytics more accessible and affordable for SMEs. The integration of artificial intelligence, machine learning, and big data analytics into commodity risk management platforms has significantly enhanced predictive accuracy and operational efficiency. These technological advancements allow SMEs to automate complex risk calculations, simulate various market scenarios, and optimize procurement and inventory strategies. As a result, businesses are better equipped to reduce costs, improve margins, and maintain a competitive edge in increasingly volatile markets.

The growing importance of regulatory compliance and transparency in financial reporting is also fueling the demand for commodity price risk analytics among SMEs. Governments and regulatory bodies worldwide are imposing stricter reporting requirements and risk management standards, especially in sectors heavily reliant on commodities such as manufacturing, agriculture, and energy. By leveraging advanced analytics solutions, SMEs can not only ensure compliance but also gain deeper insights into their risk exposures and opportunities. This dual benefit is prompting a surge in adoption rates, particularly among SMEs aiming to scale operations and attract investment by showcasing robust risk management frameworks.

Regionally, North America continues to dominate the Commodity Price Risk Analytics for SMEs market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The strong presence of technology providers, a mature SME ecosystem, and high awareness of risk management best practices contribute to North America’s leadership. Meanwhile, Asia Pacific is witnessing the fastest growth, driven by rapid industrialization, expanding SME sectors, and increasing exposure to global commodity markets. Latin America and the Middle East & Africa are also emerging as important markets, supported by government initiatives to promote digital adoption among SMEs and the rising importance of commodity exports in these regions.

Component Analysis

The Component segment of the Commodity Price Risk Analytics for SMEs market is bifurcated into Software and Services. Software solutions form the backbone of this market by providing SMEs with advanced analytical tools that enable real-time monitoring, price forecasting, and automated reporting. These platforms are increasingly leveraging artificial intelligence and machine learning algorithms to enhanc

Tick (Bids | Asks | Trades | Settle) sample data for E Mini S&P EP timestamped in Chicago time

Commodity Hedging APIs for Corporate Banking Market Outlook

According to our latest research, the global Commodity Hedging APIs for Corporate Banking market size reached USD 1.96 billion in 2024, driven by a rising demand for advanced risk mitigation tools and seamless integration in digital banking platforms. The market is projected to register a robust CAGR of 13.7% during the forecast period, with the market size expected to reach USD 5.62 billion by 2033. This growth is primarily fueled by the increasing volatility in commodity prices, digitization of banking infrastructure, and the expanding adoption of API-driven solutions for enhanced corporate treasury management.

One of the most significant growth factors for the Commodity Hedging APIs for Corporate Banking market is the escalating volatility in global commodity prices, which has heightened the necessity for sophisticated risk management solutions among corporates. As businesses face unpredictable fluctuations in energy, metals, agricultural products, and other commodities, the need for real-time, automated, and data-driven hedging strategies has become paramount. APIs facilitate seamless integration of hedging functionalities into existing banking and treasury systems, allowing corporates to react swiftly to market changes, optimize their risk exposure, and safeguard profit margins. This critical requirement for agility and resilience in treasury operations is a key driver propelling market expansion.

Another core driver is the rapid digital transformation sweeping across the banking and financial services sector. Corporate banks are under increasing pressure to modernize their technology stacks and offer clients innovative, value-added services. The deployment of Commodity Hedging APIs enables banks to provide clients with real-time access to market data, automated trading and execution, and comprehensive portfolio management tools. This not only enhances customer experience but also streamlines internal processes, reduces operational costs, and opens up new revenue streams. As regulatory demands become more stringent and clients demand greater transparency and efficiency, API-based solutions are emerging as the backbone of next-generation corporate banking platforms.

Furthermore, the proliferation of cloud computing and advancements in API security are catalyzing the adoption of Commodity Hedging APIs among both large enterprises and SMEs. Cloud-based APIs offer scalability, flexibility, and lower upfront investment, making them attractive for organizations seeking to digitize their treasury functions without significant infrastructure overhaul. Enhanced security protocols and compliance features embedded within these APIs also address concerns around data privacy and regulatory adherence, encouraging broader market penetration. This technological evolution, combined with growing awareness of the strategic value of proactive risk management, is expected to sustain the market’s upward trajectory.

From a regional perspective, North America currently leads the global Commodity Hedging APIs for Corporate Banking market, accounting for a significant share due to the presence of major financial institutions, advanced technological infrastructure, and a mature commodities trading ecosystem. Europe follows closely, with increasing regulatory focus on transparency and risk management driving adoption. The Asia Pacific region is anticipated to witness the fastest growth, propelled by the rapid expansion of digital banking, increasing commodity trade volumes, and supportive government initiatives aimed at modernizing financial markets. Latin America and the Middle East & Africa are also emerging as promising markets, though adoption is somewhat constrained by infrastructural and regulatory challenges.

Component Analysis

The Commodity Hedging APIs for Corporate Banking market by component is segmented into Software and Services. The software segment comprises API platforms, integration modules, and user interfaces that enable seamless connectivity between corporate banking systems and commodit

Merchant Storage Basis Risk Hedging Market Outlook

According to our latest research, the global Merchant Storage Basis Risk Hedging market size reached USD 4.28 billion in 2024, with a robust growth trajectory driven by the increasing complexity of commodity markets and the need for advanced risk mitigation strategies. The market is anticipated to expand at a CAGR of 8.6% during the forecast period, reaching approximately USD 8.63 billion by 2033. This remarkable growth is fueled by the rising volatility in commodity prices, the expansion of global energy trading, and the intensifying focus on optimizing storage and logistics operations within diverse sectors.

A key growth factor for the Merchant Storage Basis Risk Hedging market is the escalating volatility in commodity prices, particularly in the oil & gas and power & utilities sectors. As global supply chains become more interconnected and susceptible to geopolitical tensions, natural disasters, and regulatory changes, market participants are increasingly seeking sophisticated hedging solutions to protect their profit margins. Physical, financial, and hybrid hedging strategies are being deployed to manage the risks associated with price differentials between storage locations and market hubs, ensuring that energy traders, commodity merchants, and industrial consumers can maintain stable revenues even amid unpredictable market swings.

Another significant driver is the rapid digital transformation and adoption of advanced analytics in risk management. The integration of artificial intelligence, machine learning, and blockchain technologies into risk management tools such as derivatives, swaps, futures, and options is enabling more precise forecasting and real-time decision-making. These innovations are enhancing the effectiveness of merchant storage basis risk hedging by providing actionable insights into market trends, optimizing hedging strategies, and automating complex trading and risk management processes. As a result, organizations can respond proactively to market changes, reduce operational risks, and improve overall efficiency in their hedging activities.

Furthermore, the growing participation of financial institutions and non-traditional players in commodity markets is expanding the scope and sophistication of basis risk hedging solutions. Financial institutions are leveraging their expertise in structured products and derivatives to offer tailored hedging instruments that address the unique risk profiles of various end-users. This trend is fostering greater innovation and competition in the market, leading to the development of new hybrid hedging models that combine the strengths of physical and financial strategies. The increased collaboration between commodity merchants, energy traders, and financial service providers is also contributing to the overall growth and resilience of the merchant storage basis risk hedging market.

Regionally, North America continues to dominate the Merchant Storage Basis Risk Hedging market, accounting for the largest share in 2024 due to its advanced commodity trading infrastructure, extensive storage networks, and mature financial markets. Europe and Asia Pacific are also witnessing significant growth, driven by expanding energy and commodity trading activities, regulatory reforms, and the increasing adoption of risk management solutions in emerging economies. The Middle East & Africa and Latin America are expected to experience moderate growth, supported by investments in storage infrastructure and the gradual liberalization of commodity markets.

Solution Type Analysis

The Solution Type segment within the Merchant Storage Basis Risk Hedging market is crucial for understanding how organizations approach risk mitigation in volatile commodity markets. Physical hedging remains a foundational strategy, particularly for companies with significant exposure to tangible assets and physical storage facilities. This approach involves the direct purchase or sale o

Tick (Bids | Asks | Trades | Settle) sample data for Mini-Russell 2000- CME RTY timestamped in Chicago time