100+ datasets found
  1. Real Time Commodities Pricing Data

    • lseg.com
    Updated Aug 19, 2025
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    LSEG (2025). Real Time Commodities Pricing Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/commodities-data/real-time-commodities-pricing-data
    Explore at:
    csv,delimited,gzip,json,python,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Aug 19, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Real-time commodities pricing data allows you to grasp where the market is, was and will be – from exchange data and OTC prices to specialist fundamentals.

  2. Commodity Crude Oil Live Chart

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
    + more versions
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    IndexBox Inc. (2025). Commodity Crude Oil Live Chart [Dataset]. https://www.indexbox.io/search/commodity-crude-oil-live-chart/
    Explore at:
    xls, pdf, docx, doc, xlsxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Oct 22, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    The commodity crude oil live chart provides real-time price data, technical analysis tools, and additional information that can assist traders, investors, and analysts in making informed decisions about the price movements of crude oil.

  3. G

    Commodity Price Risk Dashboards Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
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    Growth Market Reports (2025). Commodity Price Risk Dashboards Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/commodity-price-risk-dashboards-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    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,

  4. T

    Crude Oil - Price Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 21, 2025
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    TRADING ECONOMICS (2025). Crude Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/crude-oil
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Oct 21, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 30, 1983 - Oct 21, 2025
    Area covered
    World
    Description

    Crude Oil rose to 57.03 USD/Bbl on October 21, 2025, up 0.01% from the previous day. Over the past month, Crude Oil's price has fallen 8.43%, and is down 20.51% 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 October of 2025.

  5. F

    Global Price Index of All Commodities

    • fred.stlouisfed.org
    json
    Updated Jul 18, 2025
    + more versions
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    (2025). Global Price Index of All Commodities [Dataset]. https://fred.stlouisfed.org/series/PALLFNFINDEXQ
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 18, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    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.

  6. C

    China CN: Settlement Price: Dalian Commodity Exchange: Live Hog: 3rd Month

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Settlement Price: Dalian Commodity Exchange: Live Hog: 3rd Month [Dataset]. https://www.ceicdata.com/en/china/dalian-commodity-exchange-commodity-futures-settlement-price-daily/cn-settlement-price-dalian-commodity-exchange-live-hog-3rd-month
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 11, 2025 - Mar 26, 2025
    Area covered
    China
    Variables measured
    Securities Price Index
    Description

    China Settlement Price: Dalian Commodity Exchange: Live Hog: 3rd Month data was reported at 13,870.000 RMB/Ton in 13 May 2025. This records a decrease from the previous number of 13,885.000 RMB/Ton for 12 May 2025. China Settlement Price: Dalian Commodity Exchange: Live Hog: 3rd Month data is updated daily, averaging 17,100.000 RMB/Ton from Jan 2021 (Median) to 13 May 2025, with 1049 observations. The data reached an all-time high of 28,005.000 RMB/Ton in 02 Mar 2021 and a record low of 12,840.000 RMB/Ton in 10 Jan 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.

  7. D

    Commodity Trading Platform Market Report | Global Forecast From 2025 To 2033...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Commodity Trading Platform Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-commodity-trading-platform-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Commodity Trading Platform Market Outlook



    The global commodity trading platform market size was valued at approximately USD 3.5 billion in 2023 and is expected to reach around USD 7.2 billion by 2032, growing at a CAGR of 8.2% from 2024 to 2032. This growth is driven by increasing digitalization, expanding global trade, and rising demand for efficient trading solutions. The digital transformation in trading activities, coupled with the need for real-time data and analytics, is propelling the adoption of advanced trading platforms across the globe.



    One of the significant growth factors for the commodity trading platform market is the increasing adoption of digital technologies in trading activities. As the trading landscape becomes more complex and competitive, institutional and retail investors are seeking more sophisticated tools that can offer real-time data analysis, risk management, and automated trading capabilities. The integration of AI and machine learning in these platforms is further enhancing their efficiency and decision-making capabilities, thereby driving market growth.



    Another crucial factor contributing to the market's expansion is the globalization of trade. With the world becoming increasingly interconnected, there is a growing need for platforms that can handle the complexities of international trading. These platforms offer features such as multi-currency support, compliance with regional regulations, and real-time tracking of global market trends, making them indispensable tools for traders operating on a global scale. Additionally, the rise in cross-border e-commerce and international investments is further fueling the demand for advanced commodity trading platforms.



    The growing focus on sustainability and ethical trading practices is also influencing the market positively. As more investors and companies prioritize Environmental, Social, and Governance (ESG) criteria in their trading activities, there is a rising demand for platforms that can provide transparency and traceability in commodity sourcing and trading. This trend is particularly evident in the agriculture and energy sectors, where there is increasing scrutiny on the environmental and social impacts of trading activities.



    The role of Derivatives And Commodities Brokerage is becoming increasingly pivotal in the commodity trading platform market. These brokerages act as intermediaries, facilitating trades between buyers and sellers in the commodities market. With the rise of digital trading platforms, brokerages are evolving to offer more sophisticated services, including real-time data analytics, risk management tools, and automated trading options. This evolution is crucial as it enables traders to navigate the complexities of the global commodities market more efficiently. The integration of AI and machine learning technologies by these brokerages is further enhancing their ability to provide tailored trading solutions, thereby attracting a broader range of clients from institutional to retail investors.



    From a regional perspective, North America currently holds a significant share of the commodity trading platform market, driven by the presence of major market players and high adoption rates of advanced trading technologies. However, regions like Asia Pacific are expected to witness the highest growth rates during the forecast period. The rapid economic growth, expanding middle-class population, and increasing digital literacy in countries like China and India are key factors contributing to this regional growth. Moreover, the liberalization of trade policies and investment in digital infrastructure are further supporting the market's expansion in these regions.



    Component Analysis



    The commodity trading platform market can be segmented by component into software and services. The software segment includes various types of platforms such as trading software, risk management software, and analytical tools. These software solutions are designed to provide traders with real-time data, automated trading options, and advanced analytical capabilities. The increasing complexity of trading activities and the need for high-speed transactions are driving the demand for sophisticated software solutions. Moreover, the integration of AI and machine learning technologies in trading software is enhancing their functionality and efficiency, making them more attractive to traders.



    On the other hand, the s

  8. Live Grain Commodity Prices

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). Live Grain Commodity Prices [Dataset]. https://www.indexbox.io/search/live-grain-commodity-prices/
    Explore at:
    docx, xlsx, pdf, xls, docAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Oct 19, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    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.

  9. T

    GSCI Commodity Index - Price Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Oct 22, 2025
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    TRADING ECONOMICS (2025). GSCI Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/gsci
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Oct 22, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1969 - Oct 22, 2025
    Area covered
    World
    Description

    GSCI rose to 546.05 Index Points on October 22, 2025, up 0.77% from the previous day. Over the past month, GSCI's price has fallen 0.98%, but it is still 0.75% 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 October of 2025.

  10. D

    Commodity Services Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 16, 2024
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    Dataintelo (2024). Commodity Services Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-commodity-services-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Commodity Services Market Outlook



    In 2023, the global commodity services market size was valued at approximately USD 12 billion and is projected to reach USD 18 billion by 2032, growing at a CAGR of 4.5% during the forecast period. The market's growth can be attributed to the increasing globalization of trade, advancements in technology, and heightened demand for risk management and advisory services in volatile markets. These factors are driving the market toward a sustainable growth trajectory.



    The primary growth factor for the commodity services market is the growing need for risk management in the face of fluctuating commodity prices. As global markets become more interconnected, the volatility in commodity prices has escalated, necessitating advanced risk management tools and services. Companies across various sectors, including agriculture, energy, and metals, are increasingly leveraging these services to mitigate risks and ensure market stability. These risk management services cover a broad spectrum, from hedging strategies using futures and options to more complex financial instruments.



    Another key driver is the technological advancements in commodity trading and brokerage services. The advent of sophisticated trading platforms and algorithms has revolutionized the commodity services market. These technologies enable faster transaction execution, enhanced data analytics, and improved market intelligence, thereby attracting more participants into the market. Furthermore, blockchain technology is being integrated for increased transparency and reduced fraud, which further boosts market confidence and participation.



    The increasing demand for specialized research and advisory services also fuels the market's growth. With the complexity of global markets, businesses seek in-depth market analysis, trend forecasting, and strategic advice to make informed decisions. Research and advisory firms provide valuable insights into market dynamics, regulatory changes, and economic indicators, helping companies navigate the intricate landscape of commodity trading. This service segment is seeing robust growth as companies become more dependent on expert guidance to optimize their trading strategies.



    Regionally, North America holds a significant share of the commodity services market, driven by its well-established financial markets and advanced technological infrastructure. The region's dominance is expected to continue, supported by the presence of major commodity exchanges and brokerage firms. Meanwhile, the Asia Pacific region is experiencing the fastest growth, primarily due to expanding industrial activities and increasing participation in global trade. The burgeoning economies of China and India, in particular, are key contributors to this regional growth, with their rising demand for various commodities.



    Trading and Brokerage Analysis



    The trading and brokerage segment is a cornerstone of the commodity services market, providing essential platforms and services for buying and selling various commodities. This segment has evolved significantly with the advent of electronic trading platforms that offer real-time market data, automated trading systems, and enhanced connectivity across global markets. These platforms have democratized access to commodity trading, allowing even small and medium-sized enterprises to participate actively.



    In recent years, the role of brokerage firms has expanded beyond mere transaction facilitation to providing comprehensive market analysis, trading recommendations, and personalized investment strategies. Brokerage firms are now leveraging advanced analytics and big data to offer tailored solutions to their clients, enhancing their decision-making capabilities. This trend is particularly prominent in the energy and metals sectors, where market dynamics are highly complex and require specialized expertise.



    Moreover, the integration of blockchain technology is poised to transform the trading and brokerage landscape. Blockchain offers unparalleled transparency and security, reducing the risk of fraud and ensuring the integrity of transactions. Several commodity exchanges and brokerage firms are already piloting blockchain-based platforms, which could set a new standard for the industry. This technological shift is expected to attract more institutional investors, further boosting market liquidity and stability.



    The trading and brokerage segment also faces challenges, particularly in terms of regulatory compliance and cybersecurity. With increasi

  11. p

    Implied Impact on Price: Corn, Wheat, Soybeans, Sugar, Coffee, Cotton, Live...

    • permutable.ai
    Updated May 24, 2025
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    Permutable Technologies Limited (2025). Implied Impact on Price: Corn, Wheat, Soybeans, Sugar, Coffee, Cotton, Live Cattle, and Lean Hogs across Agriculture, Energy, and Currencies [Dataset]. https://permutable.ai/sector-trends/
    Explore at:
    Dataset updated
    May 24, 2025
    Dataset authored and provided by
    Permutable Technologies Limited
    Description

    The 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.

  12. m

    Multi Commodity Exchange of India Limited - Income-Before-Tax

    • macro-rankings.com
    csv, excel
    Updated Jul 23, 2025
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    macro-rankings (2025). Multi Commodity Exchange of India Limited - Income-Before-Tax [Dataset]. https://www.macro-rankings.com/markets/stocks/mcx-nse/income-statement/income-before-tax
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    india
    Description

    Income-Before-Tax 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.

  13. m

    Multi Commodity Exchange of India Limited - Total-Revenue

    • macro-rankings.com
    csv, excel
    Updated Sep 30, 2025
    + more versions
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    macro-rankings (2025). Multi Commodity Exchange of India Limited - Total-Revenue [Dataset]. https://www.macro-rankings.com/markets/stocks/mcx-nse/income-statement/total-revenue
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    india
    Description

    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.

  14. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 21, 2025
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    TRADING ECONOMICS (2025). Gold - Price Data [Dataset]. https://tradingeconomics.com/commodity/gold
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Oct 21, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 3, 1968 - Oct 21, 2025
    Area covered
    World
    Description

    Gold fell to 4,127.71 USD/t.oz on October 21, 2025, down 5.28% from the previous day. Over the past month, Gold's price has risen 10.15%, and is up 50.29% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on October of 2025.

  15. T

    Corn - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). Corn - Price Data [Dataset]. https://tradingeconomics.com/commodity/corn
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 1912 - Oct 21, 2025
    Area covered
    World
    Description

    Corn rose to 423.84 USd/BU on October 21, 2025, up 0.14% from the previous day. Over the past month, Corn's price has risen 0.50%, and is up 1.76% compared to the same time last year, 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 October of 2025.

  16. C

    China CN: Settlement Price: Dalian Commodity Exchange: Live Hog: 1st Month

    • ceicdata.com
    Updated Mar 26, 2025
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    CEICdata.com (2025). China CN: Settlement Price: Dalian Commodity Exchange: Live Hog: 1st Month [Dataset]. https://www.ceicdata.com/en/china/dalian-commodity-exchange-commodity-futures-settlement-price-daily/cn-settlement-price-dalian-commodity-exchange-live-hog-1st-month
    Explore at:
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 11, 2025 - Mar 26, 2025
    Area covered
    China
    Variables measured
    Securities Price Index
    Description

    China Settlement Price: Dalian Commodity Exchange: Live Hog: 1st Month data was reported at 14,015.000 RMB/Ton in 13 May 2025. This records a decrease from the previous number of 14,150.000 RMB/Ton for 12 May 2025. China Settlement Price: Dalian Commodity Exchange: Live Hog: 1st Month data is updated daily, averaging 15,130.000 RMB/Ton from Jan 2021 (Median) to 13 May 2025, with 1049 observations. The data reached an all-time high of 29,100.000 RMB/Ton in 01 Mar 2021 and a record low of 11,215.000 RMB/Ton in 01 Mar 2022. 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.

  17. D

    Commodity Trade Finance Platform Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Commodity Trade Finance Platform Market Research Report 2033 [Dataset]. https://dataintelo.com/report/commodity-trade-finance-platform-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Commodity Trade Finance Platform Market Outlook



    As per our latest research, the global commodity trade finance platform market size stood at USD 1.64 billion in 2024, reflecting robust adoption across the commodity trading ecosystem. The market is projected to grow at a CAGR of 10.7% from 2025 to 2033, reaching an estimated USD 4.06 billion by 2033. This significant growth trajectory is driven by the increasing digitalization of trade finance processes, the need for enhanced transparency and efficiency, and the rising complexity of global commodity trading operations.



    One of the primary growth factors fueling the commodity trade finance platform market is the rapid shift towards digital transformation in the commodity trading industry. Traditional paper-based processes are increasingly being replaced by digital platforms that enable real-time tracking, automated documentation, and seamless integration across stakeholders, including banks, traders, exporters, and importers. The adoption of advanced technologies such as blockchain, artificial intelligence, and cloud computing within trade finance platforms is enhancing transparency, reducing fraud, and accelerating transaction cycles. These platforms are also supporting compliance with stringent regulatory requirements, further driving their adoption among leading financial institutions and trading firms globally. The demand for end-to-end digital solutions has become especially pronounced in the wake of supply chain disruptions and the need for resilient, agile financial operations.



    Another key driver for market expansion is the growing complexity and volume of cross-border commodity trade. As global supply chains become more interconnected, the need for sophisticated platforms that can manage multi-currency transactions, mitigate credit and counterparty risks, and provide real-time analytics has surged. Commodity finance platforms are now equipped with robust risk assessment modules, automated credit scoring, and dynamic collateral management features, making them indispensable for stakeholders navigating volatile markets. The shift towards sustainable and ethical sourcing practices is also influencing the design of these platforms, with integrated ESG (Environmental, Social, and Governance) compliance tools becoming a standard feature. These innovations are not only improving operational efficiency but also enabling organizations to capitalize on new market opportunities and manage risks more effectively.



    Furthermore, the market is witnessing increased collaboration between fintech companies, banks, and commodity trading firms to co-develop tailored solutions that address specific industry pain points. Strategic partnerships and investments in research and development are fostering the emergence of next-generation platforms that offer modular, scalable, and interoperable solutions. These collaborations are accelerating the pace of innovation, allowing market participants to respond swiftly to evolving regulatory landscapes, cyber threats, and shifting customer expectations. The integration of advanced analytics, machine learning, and predictive modeling is empowering users with actionable insights, optimizing working capital, and enhancing decision-making capabilities across the trade finance value chain.



    From a regional perspective, North America and Europe currently dominate the commodity trade finance platform market, accounting for a significant share of global revenues. These regions benefit from mature financial infrastructures, high levels of digital adoption, and the presence of major commodity trading hubs. However, the Asia Pacific region is poised for the fastest growth, driven by expanding trade volumes, supportive government initiatives, and the rapid digitalization of emerging economies such as China and India. The Middle East & Africa and Latin America are also witnessing increased adoption, particularly in the energy and agricultural sectors, as stakeholders seek to modernize their trade finance operations and enhance competitiveness in global markets.



    Component Analysis



    The component segment of the commodity trade finance platform market is primarily divided into software and services. Software solutions form the backbone of digital trade finance operations, offering modules for transaction management, risk assessment, documentation, and compliance monitoring. These platforms are increasingly leveraging cloud-based architectures, enabling seamless integration wit

  18. G

    Commodity Trade Finance Platform Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Sep 1, 2025
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    Growth Market Reports (2025). Commodity Trade Finance Platform Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/commodity-trade-finance-platform-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Commodity Trade Finance Platform Market Outlook



    According to our latest research, the global commodity trade finance platform market size reached USD 1.92 billion in 2024, reflecting robust expansion driven by increasing digitalization and the growing complexity of global trade. The market is projected to grow at a CAGR of 11.3% from 2025 to 2033, reaching an estimated value of USD 5.04 billion by the end of the forecast period. This accelerated growth is primarily fueled by the rising adoption of cloud-based platforms, the need for real-time risk management solutions, and the increasing demand for transparency and efficiency in commodity trade finance processes worldwide.




    One of the primary growth factors propelling the commodity trade finance platform market is the rapid digital transformation across the global trade finance ecosystem. Traditional trade finance operations, often marred by manual processes, paperwork, and lack of transparency, are being fundamentally restructured through the integration of advanced software solutions and automation. Digital platforms are enabling seamless document management, real-time tracking of transactions, and automated compliance checks, thereby reducing operational inefficiencies and mitigating the risk of fraud. Furthermore, the integration of blockchain and artificial intelligence is enhancing the transparency and security of trade finance transactions, making them more attractive for both large enterprises and small-to-medium businesses seeking to optimize their supply chain financing.




    Another significant driver is the increasing complexity and volume of cross-border commodity transactions, particularly in sectors such as energy, agriculture, and metals & mining. As these industries expand their global reach, the need for robust trade finance platforms capable of handling multi-currency, multi-jurisdictional transactions has grown exponentially. Banks, traders, exporters, and importers are leveraging these platforms to streamline their trade finance operations, manage risks more effectively, and ensure compliance with stringent international regulations. The growing emphasis on sustainability and ESG (Environmental, Social, and Governance) criteria in commodity trading is also driving demand for platforms that offer advanced analytics and reporting capabilities to track and verify sustainable sourcing and ethical trading practices.




    The surge in adoption of cloud-based solutions has further accelerated market growth by offering scalable, cost-effective, and secure platforms that can be rapidly deployed across geographies. Cloud deployment enables real-time data sharing and collaboration among stakeholders, fostering greater agility and responsiveness in commodity trade finance operations. Additionally, the proliferation of fintech startups and strategic partnerships between technology providers and financial institutions are driving innovation, resulting in the continuous evolution of platform functionalities and the introduction of new value-added services tailored to the unique needs of commodity traders and financiers.




    From a regional perspective, Asia Pacific is emerging as the fastest-growing market for commodity trade finance platforms, driven by the region's dominance in global commodity production and trade, particularly in countries such as China, India, and Indonesia. North America and Europe, with their mature financial services sectors and advanced regulatory frameworks, continue to lead in terms of market share and technological innovation. Meanwhile, regions like Latin America and the Middle East & Africa are witnessing increasing adoption of trade finance platforms as they seek to modernize their commodity trading infrastructures and attract greater foreign investment. The interplay between regional market dynamics, regulatory developments, and technological advancements will continue to shape the global landscape of the commodity trade finance platform market over the forecast period.



    Trade Finance Software plays a crucial role in the digital transformation of the commodity trade finance platform market. As businesses seek to streamline their operations and enhance efficiency, the adoption of sophisticated software solutions becomes imperative. These software platforms offer a comprehensive suite of tools designed to manage complex trade

  19. G

    Commodity Risk Management Software Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Sep 1, 2025
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    Growth Market Reports (2025). Commodity Risk Management Software Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/commodity-risk-management-software-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Commodity Risk Management Software Market Outlook



    According to our latest research, the commodity risk management software market size reached USD 1.92 billion in 2024, reflecting robust demand from diverse industries seeking to mitigate exposure to commodity price volatility. The market is experiencing a healthy growth trajectory, registering a CAGR of 8.7% from 2025 to 2033. By the end of 2033, the market is forecasted to reach USD 4.13 billion, driven by increasing digitalization, expanding global trade, and heightened regulatory scrutiny. This growth is underpinned by the urgent need for advanced risk analytics and real-time data integration, as organizations strive to optimize procurement strategies and secure competitive advantages in increasingly volatile commodity markets.




    A key growth factor propelling the commodity risk management software market is the escalating volatility in global commodity prices, particularly in sectors such as agriculture, energy, and metals. Geopolitical tensions, supply chain disruptions, and fluctuating demand patterns have intensified the need for sophisticated risk management tools. Organizations are increasingly adopting commodity risk management software to gain real-time insights, forecast market trends, and execute hedging strategies that protect profit margins. Furthermore, the integration of advanced analytics, artificial intelligence, and machine learning within these platforms is enabling businesses to make data-driven decisions, automate risk assessments, and streamline compliance with evolving regulatory frameworks. This technological evolution is not only enhancing the accuracy and agility of risk management processes but also fostering greater transparency and accountability across the commodity trading ecosystem.




    Another significant driver is the growing emphasis on regulatory compliance and corporate governance, especially in sectors exposed to stringent reporting requirements, such as financial services and manufacturing. Regulatory bodies worldwide are mandating more rigorous risk disclosure, stress testing, and audit trails, compelling enterprises to invest in robust commodity risk management software. These solutions offer comprehensive audit logs, customizable reporting features, and seamless integration with enterprise resource planning (ERP) systems, thereby simplifying compliance and reducing operational risk. Additionally, the rise of environmental, social, and governance (ESG) considerations is prompting organizations to incorporate sustainability metrics into their risk management frameworks, further expanding the functionality and adoption of specialized software solutions.




    The expanding footprint of global trade and the increasing complexity of supply chains are also accelerating market growth. As organizations source raw materials and commodities from multiple geographies, they face heightened exposure to foreign exchange fluctuations, logistical bottlenecks, and geopolitical risks. Commodity risk management software enables businesses to centralize risk monitoring, automate contract management, and optimize procurement strategies across diverse markets. The growing adoption of cloud-based platforms is particularly noteworthy, as it empowers organizations of all sizes to deploy scalable, cost-effective solutions with minimal IT overhead. This democratization of risk management technology is enabling small and medium enterprises (SMEs) to compete more effectively with larger players, thereby fueling market expansion across various industry verticals.



    In the evolving landscape of commodity risk management, Commodity Hedging Platforms for Corporates have emerged as a crucial tool for businesses navigating the complexities of global markets. These platforms provide corporates with the ability to manage price risks associated with raw materials and commodities, ensuring that they can maintain stable profit margins despite market fluctuations. By leveraging sophisticated algorithms and real-time data analytics, these platforms enable organizations to execute precise hedging strategies that align with their financial objectives and risk tolerance. The integration of these platforms with existing enterprise systems allows for seamless data flow and enhanced decision-making capabilities, empowering corporates to respond swiftly to market changes and regulatory requirements. As businesses increasin

  20. D

    Real-Time Material Price Index API Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Dataintelo (2025). Real-Time Material Price Index API Market Research Report 2033 [Dataset]. https://dataintelo.com/report/real-time-material-price-index-api-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real-Time Material Price Index API Market Outlook



    According to our latest research, the global Real-Time Material Price Index API market size reached USD 1.14 billion in 2024, demonstrating robust momentum as organizations increasingly prioritize dynamic pricing and supply chain optimization. The market is projected to grow at a CAGR of 12.7% from 2025 to 2033, reaching an estimated USD 3.39 billion by 2033. This growth is driven by heightened demand for real-time data integration, the proliferation of digital transformation initiatives across industries, and a growing emphasis on cost control and procurement efficiency. As per our latest research, the adoption of Real-Time Material Price Index APIs is accelerating, particularly as businesses seek to enhance agility and make data-driven decisions in volatile market environments.




    One of the primary growth factors propelling the Real-Time Material Price Index API market is the increasing complexity and globalization of supply chains. Organizations across sectors such as construction, manufacturing, and energy face constant fluctuations in material costs due to geopolitical tensions, supply disruptions, and volatile commodity prices. Real-Time Material Price Index APIs empower these enterprises with instant access to up-to-date pricing data, enabling more accurate forecasting, agile procurement strategies, and optimized inventory management. This capability is especially critical in industries where material costs represent a significant portion of overall expenses, allowing businesses to maintain competitiveness and protect margins in an unpredictable economic landscape.




    Another significant driver is the rapid digitalization of procurement and enterprise resource planning (ERP) systems. As companies invest in automation and digital transformation, the integration of Real-Time Material Price Index APIs into their digital ecosystems becomes essential for seamless operations. These APIs facilitate the automatic synchronization of pricing data with purchasing, finance, and inventory modules, reducing manual intervention and minimizing the risk of costly errors. The demand for cloud-based solutions, in particular, is surging, as they offer scalability, flexibility, and ease of integration with existing platforms. This trend is further supported by the proliferation of Industry 4.0 initiatives, where real-time data is the backbone of smart manufacturing and supply chain optimization.




    The growing emphasis on data-driven decision-making is also fueling market expansion. Enterprises are increasingly leveraging advanced analytics and artificial intelligence to derive actionable insights from real-time material price data. This enables proactive risk management, dynamic pricing strategies, and improved supplier negotiations. The ability to access and analyze granular, real-time pricing information is becoming a competitive differentiator, particularly in sectors where margins are tight and responsiveness to market changes is critical. As organizations recognize the value of integrating Real-Time Material Price Index APIs with their business intelligence tools, the market is expected to witness sustained growth over the forecast period.




    From a regional perspective, North America currently leads the Real-Time Material Price Index API market, driven by early adoption of digital technologies and the presence of major players in the technology and manufacturing sectors. However, Asia Pacific is emerging as a high-growth region, fueled by rapid industrialization, expanding construction activities, and increasing investment in digital infrastructure. Europe also holds a significant share, supported by stringent regulatory requirements and a strong focus on supply chain transparency. Meanwhile, Latin America and the Middle East & Africa are witnessing gradual adoption, with growth opportunities arising from infrastructure development and modernization initiatives. Overall, the global market is characterized by diverse regional dynamics, with each geography contributing uniquely to the overall growth trajectory.



    Component Analysis



    The Real-Time Material Price Index API market by component is primarily segmented into software and services. The software segment comprises API platforms, integration tools, and analytics solutions that facilitate the seamless retrieval and processing of real-time material pricing data. These software solutions are designed to be highly scalable and adaptable, cate

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LSEG (2025). Real Time Commodities Pricing Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/commodities-data/real-time-commodities-pricing-data
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Real Time Commodities Pricing Data

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csv,delimited,gzip,json,python,user interface,xml,zip archiveAvailable download formats
Dataset updated
Aug 19, 2025
Dataset provided by
London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
Authors
LSEG
License

https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

Description

Real-time commodities pricing data allows you to grasp where the market is, was and will be – from exchange data and OTC prices to specialist fundamentals.

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