Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Learn about live grain commodity prices and how they impact the cost of production for farmers and the price consumers pay for food products. Track these prices on exchanges like CME, ICE, and MGEX to monitor broader trends in the agricultural industry.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A crude oil commodity live chart is a visual representation showing the price fluctuations of crude oil in real-time. It provides traders, investors, and analysts with valuable insights into the market trends and helps them make informed decisions.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on December of 2025.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China Settlement Price: Dalian Commodity Exchange: Live Hog: 3rd Month data was reported at 11,955.000 RMB/Ton in 02 Dec 2025. This records an increase from the previous number of 11,930.000 RMB/Ton for 01 Dec 2025. China Settlement Price: Dalian Commodity Exchange: Live Hog: 3rd Month data is updated daily, averaging 16,975.000 RMB/Ton from Jan 2021 (Median) to 02 Dec 2025, with 1187 observations. The data reached an all-time high of 28,005.000 RMB/Ton in 02 Mar 2021 and a record low of 11,275.000 RMB/Ton in 21 Nov 2025. China Settlement Price: Dalian Commodity Exchange: Live Hog: 3rd Month data remains active status in CEIC and is reported by Dalian Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Dalian Commodity Exchange: Commodity Futures: Settlement Price: Daily.
Facebook
Twitterhttp://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Live Cattle rose to 217.63 USd/Lbs on December 2, 2025, up 1.60% from the previous day. Over the past month, Live Cattle's price has fallen 6.28%, but it is still 15.49% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Live Cattle - values, historical data, forecasts and news - updated on December of 2025.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
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.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Natural gas rose to 4.94 USD/MMBtu on December 3, 2025, up 2.04% from the previous day. Over the past month, Natural gas's price has risen 13.71%, and is up 62.29% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on December of 2025.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China Settlement Price: Dalian Commodity Exchange: Live Hog: 2nd Month data was reported at 11,255.000 RMB/Ton in 02 Dec 2025. This records an increase from the previous number of 11,230.000 RMB/Ton for 01 Dec 2025. China Settlement Price: Dalian Commodity Exchange: Live Hog: 2nd Month data is updated daily, averaging 15,895.000 RMB/Ton from Jan 2021 (Median) to 02 Dec 2025, with 1187 observations. The data reached an all-time high of 27,960.000 RMB/Ton in 01 Mar 2021 and a record low of 11,230.000 RMB/Ton in 01 Dec 2025. China Settlement Price: Dalian Commodity Exchange: Live Hog: 2nd Month data remains active status in CEIC and is reported by Dalian Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Dalian Commodity Exchange: Commodity Futures: Settlement Price: Daily.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.
The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:
The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.
This dataset is highly versatile and can be utilized for various financial research purposes:
The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.
This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.
Facebook
TwitterThe Implied Impact on Price dataset provides a cross-commodity view of how market narratives and sentiment correlate with price movements across agriculture, energy, and currencies. The data expresses implied directional impacts (positive or negative) derived from sentiment analysis and market drivers, helping traders understand how different commodities and assets may respond to external shocks. Key features in this sample include: Agriculture sensitivity: Corn shows strong positive implied impact (+0.80), while cotton and coffee exhibit pronounced negative sensitivity (-1.00). Livestock volatility: Live cattle and lean hogs display mixed impacts across markets, highlighting their sensitivity to both supply shocks and currency moves. Soft commodities: Sugar and soybeans reveal sharp negative relationships with certain drivers, balanced by pockets of positive sentiment. Cross-asset relationships: The dataset reveals how agriculture commodities correlate not only within their sector but also with energy and FX markets. For systematic and quantitative traders, this dataset offers a structured framework for: Identifying leading indicators across sectors. Testing cross-asset correlations between agriculture, energy, and currencies. Building factor models that incorporate sentiment-driven relationships alongside traditional price data. By quantifying implied impacts, this dataset helps trading desks refine models, stress test portfolios, and uncover new sources of alpha.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
China Settlement Price: Dalian Commodity Exchange: Live Hog: 1st Month data was reported at 11,505.000 RMB/Ton in 02 Dec 2025. This records a decrease from the previous number of 11,520.000 RMB/Ton for 01 Dec 2025. China Settlement Price: Dalian Commodity Exchange: Live Hog: 1st Month data is updated daily, averaging 14,600.000 RMB/Ton from Jan 2021 (Median) to 02 Dec 2025, with 1187 observations. The data reached an all-time high of 29,100.000 RMB/Ton in 01 Mar 2021 and a record low of 11,105.000 RMB/Ton in 17 Oct 2025. China Settlement Price: Dalian Commodity Exchange: Live Hog: 1st Month data remains active status in CEIC and is reported by Dalian Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Dalian Commodity Exchange: Commodity Futures: Settlement Price: Daily.
Facebook
Twitter
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.
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,
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Crude Oil fell to 59.17 USD/Bbl on December 2, 2025, down 0.25% from the previous day. Over the past month, Crude Oil's price has fallen 3.08%, and is down 15.40% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on December of 2025.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterMT Newswires offers premium intra-day global markets commentary and breaking news on a wide range of economic, equity, fixed income, energy commodity and FX markets, covering the US, Canada, Europe, and Asia with a focus on the most widely followed securities and events in developed markets and economies. Reports are designed to give the reader a quick and precise picture of the data, while analysts highlight both the immediate impact on the markets as well as the longer run implications for the economy and central bank policy. The Live Briefs Global Markets service is designed to keep a broad range of market participants and wealth managers alerted to market moving events around the globe. o 160 categories of original, real time multi-asset class coverage of equities, treasuries, commodities, options, ETFs and economies throughout the trading and business day; o Global Equities -Significant events affecting individual public companies in Europe, North America and Asia; o Global Economic news and market summaries; o Sector summaries (pre-market, mid-day and closing); o Forex commentary covering the major global currencies; o Energy and precious metal news and daily summaries; o Top News updates throughout each business day; o Earnings estimate changes; o Analyst rating changes; o After Hours and Pre-Market news, trading activity and technical price levels indications; o Market Chatter & Street Color– real time market moving insights from traders and investment professionals globally; o ETF Power Play- Daily trends in ETF trading activity; o Insider Trends – Notable individual and sector related insider trading activity; o Zero noise: Only premium, original news and event analysis. Never any fillers (press releases, non-market related news, etc.)
Facebook
Twitter
According to our latest research, the global Agri Commodity Trading Platforms market size reached USD 4.2 billion in 2024, demonstrating robust expansion driven by digital transformation across the agricultural sector. As per our analysis, the market is forecasted to grow at a CAGR of 12.7% between 2025 and 2033, reaching approximately USD 12.1 billion by 2033. This accelerated growth is primarily propelled by increased digital adoption among farmers and traders, the need for real-time price discovery, and the rising integration of advanced technologies such as artificial intelligence and blockchain within trading platforms. These factors collectively underscore the market's dynamic evolution and the growing importance of technology-driven solutions in agricultural commodity trading worldwide.
The growth trajectory of the Agri Commodity Trading Platforms market is significantly influenced by the global push towards digitalization in agriculture. As traditional trading methods face limitations related to transparency, efficiency, and scalability, digital platforms have emerged as vital tools for streamlining transactions and enhancing market access for stakeholders at every level of the value chain. The proliferation of smartphones and improved internet connectivity, especially in developing regions, has catalyzed the adoption of these platforms, enabling even smallholder farmers to participate in broader markets. Furthermore, the integration of advanced analytics, real-time pricing, and risk management tools has empowered users to make informed decisions, thereby reducing price volatility and transaction costs. This digital transformation is further supported by government initiatives and private sector investments aimed at modernizing agricultural supply chains and improving food security.
Another critical growth driver for the Agri Commodity Trading Platforms market is the increasing demand for transparency and traceability in food supply chains. With consumers and regulators placing greater emphasis on food safety and sustainability, trading platforms are incorporating blockchain and other traceability technologies to provide end-to-end visibility into the movement of agricultural commodities. This not only helps in building trust among buyers and sellers but also facilitates compliance with stringent international trade regulations. Additionally, the adoption of digital payment solutions and smart contracts has streamlined settlement processes, minimizing the risk of defaults and disputes. As a result, both large agribusinesses and small-scale producers are increasingly leveraging these platforms to access new markets, secure better prices, and enhance operational efficiency.
The market’s expansion is also fueled by the growing participation of institutional investors and financial intermediaries in agricultural commodity trading. The availability of sophisticated trading tools, data analytics, and risk management features on these platforms has attracted a diverse range of users, including hedge funds, banks, and cooperatives. This influx of institutional capital has improved market liquidity and price discovery, further incentivizing platform adoption. Moreover, the emergence of innovative business models such as platform-as-a-service and subscription-based offerings has lowered entry barriers for new market participants, fostering competition and innovation. These developments are expected to sustain the market’s momentum over the forecast period, with further acceleration anticipated as emerging technologies and regulatory frameworks mature.
From a regional perspective, the Asia Pacific region is expected to lead the Agri Commodity Trading Platforms market in terms of growth rate, driven by rapid digitalization, large agricultural output, and supportive government policies. North America and Europe continue to dominate in terms of market share, owing to advanced infrastructure, high internet penetration, and the presence of established agribusinesses. Meanwhile, Latin America and Middle East & Africa are witnessing steady growth as digital initiatives and investments in agri-tech gain momentum. Each region presents unique opportunities and challenges, shaped by local market dynamics, regulatory environments, and technological adoption rates.
Facebook
Twitterhttps://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy
According to our latest research, the Global Commodity Price Risk Dashboards market size was valued at $1.8 billion in 2024 and is projected to reach $4.7 billion by 2033, expanding at a robust CAGR of 11.2% during 2024–2033. The primary factor fueling this market’s growth is the increasing volatility in global commodity prices, which is compelling enterprises across industries to adopt advanced risk management solutions. These dashboards empower organizations to make informed decisions, optimize procurement strategies, and hedge against unpredictable price fluctuations. As businesses contend with increasingly complex supply chains and heightened geopolitical uncertainties, the demand for real-time, data-driven analytics platforms has surged, making commodity price risk dashboards an indispensable tool for modern risk management and strategic planning.
North America currently dominates the Commodity Price Risk Dashboards market, holding the largest share, which accounted for approximately 38% of the global market value in 2024. This regional leadership is attributed to the mature technological landscape, widespread adoption of advanced analytics, and a high concentration of multinational corporations with sophisticated risk management needs. The United States, in particular, is home to several leading dashboard solution providers and benefits from robust regulatory frameworks that encourage transparency and proactive risk mitigation. Additionally, the region’s established commodity trading infrastructure, especially in sectors like energy, agriculture, and financial services, has created a fertile ground for the integration of real-time risk dashboards. These factors, combined with ongoing investments in digital transformation and enterprise analytics, have solidified North America’s position at the forefront of the market.
The Asia Pacific region is emerging as the fastest-growing market for commodity price risk dashboards, with a projected CAGR of 14.7% between 2024 and 2033. This accelerated growth is driven by rapid industrialization, increasing cross-border commodity trade, and a rising awareness of risk management best practices among enterprises in China, India, Japan, and Southeast Asia. Governments in the region are also implementing policies to enhance transparency and efficiency in commodity markets, further spurring demand for advanced dashboard solutions. The significant investments being made in cloud infrastructure and digitalization initiatives are enabling even small and medium-sized enterprises (SMEs) to access sophisticated risk analytics tools. As a result, Asia Pacific is expected to contribute substantially to the global market’s expansion over the coming decade.
Emerging economies in Latin America, the Middle East, and Africa are gradually adopting commodity price risk dashboards, albeit at a slower pace due to challenges such as limited digital infrastructure, lower technology penetration, and regulatory uncertainties. However, these regions represent untapped potential, particularly as local industries in agriculture, oil and gas, and mining begin to recognize the value of real-time risk management. Policy reforms aimed at market liberalization and increased foreign investment are encouraging adoption, but localized demand remains fragmented. The need for customized solutions that address unique regional requirements, language preferences, and compliance standards will be pivotal in unlocking growth in these emerging markets over the forecast period.
| Attributes | Details |
| Report Title | Commodity Price Risk Dashboards Market Research Report 2033 |
| By Component | Software, Services |
| By Deployment Mode | On-Premises, Cloud-Based |
| By Enterprise Size | Small and Medium Enterprises, Large Enterprises |
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Real-time commodity prices and currency exchange rates for major global markets
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Total-Revenue Time Series for Multi Commodity Exchange of India Limited. Multi Commodity Exchange of India Limited, a commodity derivatives exchange, provides a platform to facilitate online trading of commodity derivatives in India. It offers iCOMDEX, a real-time commodity futures price indices; and trades in bullion, base metals, energy, and agricultural commodities. The company also provides clearing and settlement services; and data feed subscription and membership services. It has strategic alliances, consultancy, and collaboration agreements with various exchanges, such as CME Group, Dalian Commodity Exchange, London Metal Exchange, European Energy Exchange AG, Taiwan Futures Exchange, and Zhengzhou Commodity Exchange, Jakarta Futures Exchange, and Chittagong Stock Exchange Limited. The company was incorporated in 2002 and is based in Mumbai, India.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Learn about live grain commodity prices and how they impact the cost of production for farmers and the price consumers pay for food products. Track these prices on exchanges like CME, ICE, and MGEX to monitor broader trends in the agricultural industry.