100+ datasets found
  1. T

    Corn - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 1, 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
    Sep 1, 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 - Sep 1, 2025
    Area covered
    World
    Description

    Corn rose to 399.02 USd/BU on September 1, 2025, up 0.26% from the previous day. Over the past month, Corn's price has risen 3.11%, but it is still 0.49% lower 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 September of 2025.

  2. F

    Equity Market Volatility Tracker: Commodity Markets

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2025
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    (2025). Equity Market Volatility Tracker: Commodity Markets [Dataset]. https://fred.stlouisfed.org/series/EMVCOMMMKT
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Equity Market Volatility Tracker: Commodity Markets (EMVCOMMMKT) from Jan 1985 to Jul 2025 about volatility, uncertainty, equity, commodities, and USA.

  3. Stock & Commodity Exchanges in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jan 15, 2025
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    IBISWorld (2025). Stock & Commodity Exchanges in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/stock-commodity-exchanges-industry/
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Sharp economic volatility, the continued effects of high interest rates and mixed sentiment among investors created an uneven landscape for stock and commodity exchanges. While trading volumes soared in 2020 due to the pandemic and favorable financial conditions, such as zero percent interest rates from the Federal Reserve, the continued effects of high inflation in 2022 and 2023 resulted in a hawkish pivot on interest rates, which curtailed ROIs across major equity markets. Geopolitical volatility amid the Ukraine-Russia and Israel-Hamas wars further exacerbated trade volatility, as many investors pivoted away from traditional equity markets into derivative markets, such as options and futures to better hedge on their investment. Nonetheless, the continued digitalization of trading markets bolstered exchanges, as they were able to facilitate improved client service and stronger market insights for interested investors. Revenue grew an annualized 0.1% to an estimated $20.9 billion over the past five years, including an estimated 1.9% boost in 2025. A core development for exchanges has been the growth of derivative trades, which has facilitated a significant market niche for investors. Heightened options trading and growing attraction to agricultural commodities strengthened service diversification among exchanges. Major companies, such as CME Group Inc., introduced new tradeable food commodities for investors in 2024, further diversifying how clients engage in trades. These trends, coupled with strengthened corporate profit growth, bolstered exchanges’ profit. Despite current uncertainty with interest rates and the pervasive fear over a future recession, the industry is expected to do well during the outlook period. Strong economic conditions will reduce investor uncertainty and increase corporate profit, uplifting investment into the stock market and boosting revenue. Greater levels of research and development will expand the scope of stocks offered because new companies will spring up via IPOs, benefiting exchange demand. Nonetheless, continued threat from substitutes such as electronic communication networks (ECNs) will curtail larger growth, as better technology will enable investors to start trading independently, but effective use of electronic platforms by incumbent exchange giants such as NASDAQ Inc. can help stem this decline by offering faster processing via electronic trade floors and prioritizing client support. Overall, revenue is expected to grow an annualized 3.5% to an estimated $24.8 billion through the end of 2031.

  4. T

    Wheat - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 2, 2025
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    TRADING ECONOMICS (2025). Wheat - Price Data [Dataset]. https://tradingeconomics.com/commodity/wheat
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Sep 2, 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
    Sep 21, 1977 - Sep 2, 2025
    Area covered
    World
    Description

    Wheat rose to 508.51 USd/Bu on September 2, 2025, up 1.25% from the previous day. Over the past month, Wheat's price has fallen 1.59%, and is down 7.88% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on September of 2025.

  5. T

    Soybeans - Price Data

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Soybeans - Price Data [Dataset]. https://tradingeconomics.com/commodity/soybeans
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jun 15, 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
    Sep 22, 1977 - Sep 2, 2025
    Area covered
    World
    Description

    Soybeans fell to 1,027.42 USd/Bu on September 2, 2025, down 0.73% from the previous day. Over the past month, Soybeans's price has risen 6.03%, and is up 3.10% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Soybeans - values, historical data, forecasts and news - updated on September of 2025.

  6. 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

  7. T

    Coffee - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 1, 2025
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    TRADING ECONOMICS (2025). Coffee - Price Data [Dataset]. https://tradingeconomics.com/commodity/coffee
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Sep 1, 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
    Aug 16, 1972 - Sep 1, 2025
    Area covered
    World
    Description

    Coffee rose to 398.06 USd/Lbs on September 1, 2025, up 0.30% from the previous day. Over the past month, Coffee's price has risen 37.95%, and is up 63.78% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coffee - values, historical data, forecasts and news - updated on September of 2025.

  8. 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.

  9. 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.

  10. T

    Energy & Commodities Market Data

    • traditiondata.com
    csv, pdf
    Updated Jan 12, 2023
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    TraditionData (2023). Energy & Commodities Market Data [Dataset]. https://www.traditiondata.com/products/energy-commodities/
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Jan 12, 2023
    Dataset authored and provided by
    TraditionData
    License

    https://www.traditiondata.com/terms-conditions/https://www.traditiondata.com/terms-conditions/

    Description

    TraditionData’s Energy & Commodities Market Data service offers comprehensive coverage across various commodity markets including oil, gas, power, and more.

    • Extensive market coverage with data sourced directly from Tradition’s brokerage desks.
    • Provides flexible, region and product-specific data packages for energy and commodities.
    • Suitable for risk management, trading, and independent risk evaluation.

    Visit Energy & Commodities Market Data for a detailed view.

  11. 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

  12. t

    Agricultural Commodities Market Demand, Size and Competitive Analysis |...

    • techsciresearch.com
    Updated Apr 13, 2024
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    TechSci Research (2024). Agricultural Commodities Market Demand, Size and Competitive Analysis | TechSci Research [Dataset]. https://www.techsciresearch.com/report/agricultural-commodities-market/4905.html
    Explore at:
    Dataset updated
    Apr 13, 2024
    Dataset authored and provided by
    TechSci Research
    License

    https://www.techsciresearch.com/privacy-policy.aspxhttps://www.techsciresearch.com/privacy-policy.aspx

    Description

    Global Agricultural Commodities Market was valued at USD 224.50 billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 4.75% through 2029.

    Pages185
    Market Size2023: USD 224.50 billion
    Forecast Market Size2029: USD 293.21 billion
    CAGR2024-2029: 4.75%
    Fastest Growing SegmentSoft
    Largest MarketNorth America
    Key Players1. Archer Daniels Midland Company 2. AGROPECUARIA MAGGI LTDA 3. Bunge Global SA 4. Cargill, Incorporated 5. Golden Agri-Resources Ltd 6. JBS USA Food Company Holdings 7. Louis Dreyfus Company B.V. 8. Olam Group Limited 9. Wilmar International Limited 10. Marfrig Global Foods SA

  13. Wheat Commodity Price Today

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Aug 1, 2025
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    IndexBox Inc. (2025). Wheat Commodity Price Today [Dataset]. https://www.indexbox.io/search/wheat-commodity-price-today/
    Explore at:
    pdf, xlsx, docx, xls, docAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    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 - Aug 31, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Today, the price of wheat in the commodity market experienced fluctuations, decreasing 0.20% compared to the previous day. Factors such as weather conditions, global supply and demand, government policies, currency exchange rates, and overall economic conditions contribute to these fluctuations. Traders and investors need to stay updated on these factors to better understand and anticipate wheat price movements.

  14. Commodities News Coverage

    • lseg.com
    Updated Aug 19, 2025
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    LSEG (2025). Commodities News Coverage [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/financial-news-coverage/commodities-news-coverage
    Explore at:
    json,pdf,text,user interfaceAvailable 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

    Get access to leading commodities news coverage for energy, metals, and agricultural markets including breaking news, insight, and commodity pricing.

  15. sentiment-analysis-in-commodity-market-gold

    • huggingface.co
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    Saguaro Capital Management, sentiment-analysis-in-commodity-market-gold [Dataset]. https://huggingface.co/datasets/SaguaroCapital/sentiment-analysis-in-commodity-market-gold
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset provided by
    Saguaro Capital Management, LLC
    Authors
    Saguaro Capital Management
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Dataset Card for Sentiment Analysis of Commodity News (Gold)

    This is a news dataset for the commodity market which has been manually annotated for 10,000+ news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021). The dataset was curated by Ankur Sinha and Tanmay Khandait and is detailed in their paper "Impact of News on the Commodity Market: Dataset and Results." It is currently published by the authors on… See the full description on the dataset page: https://huggingface.co/datasets/SaguaroCapital/sentiment-analysis-in-commodity-market-gold.

  16. Live Grain Commodity Prices

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Sep 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
    Sep 1, 2025
    Dataset provided by
    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 - Sep 1, 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.

  17. T

    Crude Oil - Price Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Crude Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/crude-oil
    Explore at:
    csv, json, xml, excelAvailable download formats
    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 - Sep 2, 2025
    Area covered
    World
    Description

    Crude Oil rose to 64.68 USD/Bbl on September 2, 2025, up 1.04% from the previous day. Over the past month, Crude Oil's price has fallen 2.44%, and is down 12.67% 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 September of 2025.

  18. Daily Wholesale Commodity Prices – India Mandis

    • kaggle.com
    Updated May 19, 2025
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    Ishan Katoch (2025). Daily Wholesale Commodity Prices – India Mandis [Dataset]. https://www.kaggle.com/datasets/ishankat/daily-wholesale-commodity-prices-india-mandis
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 19, 2025
    Dataset provided by
    Kaggle
    Authors
    Ishan Katoch
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    This dataset aggregates daily wholesale price data for a wide spectrum of agricultural commodities traded across India’s regulated markets (mandis). It captures minimum, maximum, and modal prices, enabling detailed analysis of price dispersion and volatility over time. Data is sourced directly from the AGMARKNET portal and made available under the National Data Sharing and Accessibility Policy (NDSAP). With over 165,000 views and nearly 400,000 downloads, it’s a cornerstone resource for economists, agronomists, and data scientists studying India’s commodity markets.

    This dataset provides daily wholesale minimum, maximum, and modal prices for a wide variety of agricultural commodities across India’s mandis, sourced from the AGMARKNET portal and published on Data.gov.in under NDSAP, with records dating back to 2013 and updated as of 19 May 2025 via a REST API; it includes key fields like Arrival_Date, State, District, Market, Commodity, Variety, Min_Price, Max_Price, and Modal_Price, making it ideal for time-series analysis, price-trend visualizations, and commodity forecasting.

  19. m

    Commodity Prices

    • data.mendeley.com
    Updated Nov 25, 2018
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    NARAYAN PARAB (2018). Commodity Prices [Dataset]. http://doi.org/10.17632/fhvm6rscw8.1
    Explore at:
    Dataset updated
    Nov 25, 2018
    Authors
    NARAYAN PARAB
    License

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

    Description

    Prices of commodity and stock index.

  20. m

    Data from: An empirical study on the regulated Chinese agricultural...

    • data.mendeley.com
    Updated Nov 4, 2020
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    Cheng Xue (2020). An empirical study on the regulated Chinese agricultural commodity futures market based on skew Ornstein-Uhlenbeck model [Dataset]. http://doi.org/10.17632/sbrdkydr66.3
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    Dataset updated
    Nov 4, 2020
    Authors
    Cheng Xue
    License

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

    Area covered
    China
    Description

    This paper describes the regulated agricultural commodity futures market of China, focusing on six actively traded futures: corn, strong gluten wheat, No.1 soybean, soymeal, cotton, and white sugar. A novel skew Ornstein-Uhlenbeck model is employed to characterize price dynamics with government controls. The empirical analysis reveals significant skew phenomena in these six futures and indicates that the price dynamics are influenced by state policy. The observed skew phenomena are most notable in grain futures, with relatively weaker, but statistically significant, evidence of skew phenomena in oilseed and soft futures markets. In addition, generalized quasi-likelihood ratio tests show that the skew Ornstein-Uhlenbeck model is superior to the Ornstein-Uhlenbeck model.

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TRADING ECONOMICS (2025). Corn - Price Data [Dataset]. https://tradingeconomics.com/commodity/corn

Corn - Price Data

Corn - Historical Dataset (1912-05-01/2025-09-01)

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123 scholarly articles cite this dataset (View in Google Scholar)
json, excel, csv, xmlAvailable download formats
Dataset updated
Sep 1, 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 - Sep 1, 2025
Area covered
World
Description

Corn rose to 399.02 USd/BU on September 1, 2025, up 0.26% from the previous day. Over the past month, Corn's price has risen 3.11%, but it is still 0.49% lower 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 September of 2025.

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