100+ datasets found
  1. Real Time Commodities Pricing Data

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). 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
    Nov 25, 2024
    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. F

    Global Price Index of All Commodities

    • fred.stlouisfed.org
    json
    Updated Jun 26, 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
    Jun 26, 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 Q1 2025 about World, commodities, price index, indexes, and price.

  3. T

    Corn - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 28, 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
    Jun 28, 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 - Jun 27, 2025
    Area covered
    World
    Description

    Corn rose to 417.77 USd/BU on June 27, 2025, up 2.02% from the previous day. Over the past month, Corn's price has fallen 7.37%, and is down 0.71% 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 June of 2025.

  4. T

    Wheat - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 27, 2025
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    TRADING ECONOMICS (2025). Wheat - Price Data [Dataset]. https://tradingeconomics.com/commodity/wheat
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jun 27, 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 - Jun 27, 2025
    Area covered
    World
    Description

    Wheat rose to 522.66 USd/Bu on June 27, 2025, up 0.32% from the previous day. Over the past month, Wheat's price has fallen 1.43%, and is down 8.87% 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 June of 2025.

  5. 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
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    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

  6. T

    GSCI Commodity Index - Price Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, GSCI Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/gsci
    Explore at:
    xml, json, csv, 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
    Dec 31, 1969 - Jun 27, 2025
    Area covered
    World
    Description

    GSCI fell to 543.65 Index Points on June 27, 2025, down 0.14% from the previous day. Over the past month, GSCI's price has risen 2.33%, but it is still 6.01% lower 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 June of 2025.

  7. 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.

  8. Commodity Futures Market Data & APIs | Databento

    • databento.com
    csv, dbn, json +1
    Updated Jan 15, 2025
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    Databento (2025). Commodity Futures Market Data & APIs | Databento [Dataset]. https://databento.com/futures/commodity
    Explore at:
    dbn, parquet, csv, jsonAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 21, 2017 - Present
    Area covered
    North America, Europe
    Description

    Spreads, options on futures, auction data, and more from the largest commodities exchanges. Real-time and historical energy, agriculture, and metals futures data, all sourced directly from CME and ICE. Deliver straight to your application or download as flat files. Data is available in up to 15 formats.

    Our continuous contract symbology is a notation that maps to an actual, tradable instrument on any given date. The prices returned are real, unadjusted prices. We do not create a synthetic time series by adjusting the prices to remove jumps during rollovers.

    Databento is a licensed distributor and direct provider of market data for 70+ trading venues. We power research, trading, and risk management firms in the volatile physical commodities markets.

  9. C

    China CN: Settlement Price: Dalian Commodity Exchange: Corn: 1st Month

    • ceicdata.com
    Updated Dec 15, 2020
    + more versions
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    CEICdata.com (2020). China CN: Settlement Price: Dalian Commodity Exchange: Corn: 1st Month [Dataset]. https://www.ceicdata.com/en/china/dalian-commodity-exchange-commodity-futures-settlement-price/cn-settlement-price-dalian-commodity-exchange-corn-1st-month
    Explore at:
    Dataset updated
    Dec 15, 2020
    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 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Securities Price Index
    Description

    China Settlement Price: Dalian Commodity Exchange: Corn: 1st Month data was reported at 2,322.000 RMB/Ton in Apr 2025. This records an increase from the previous number of 2,162.000 RMB/Ton for Mar 2025. China Settlement Price: Dalian Commodity Exchange: Corn: 1st Month data is updated monthly, averaging 2,005.000 RMB/Ton from Sep 2004 (Median) to Apr 2025, with 248 observations. The data reached an all-time high of 2,914.000 RMB/Ton in May 2022 and a record low of 1,131.000 RMB/Ton in Nov 2004. China Settlement Price: Dalian Commodity Exchange: Corn: 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.

  10. C

    Commodity Trading Services Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 14, 2025
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    Archive Market Research (2025). Commodity Trading Services Report [Dataset]. https://www.archivemarketresearch.com/reports/commodity-trading-services-57369
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global commodity trading services market is experiencing robust growth, driven by increasing globalization, fluctuating commodity prices, and the need for efficient supply chain management. The market size in 2025 is estimated at $2 trillion, exhibiting a Compound Annual Growth Rate (CAGR) of 6% between 2025 and 2033. This growth is fueled by several key factors. Firstly, the rising demand for raw materials across various sectors, including metals, energy, and agriculture, is creating lucrative opportunities for commodity trading firms. Secondly, technological advancements in areas like data analytics and blockchain technology are improving transparency, efficiency, and risk management within commodity trading, further stimulating market expansion. Finally, the increasing complexity of global supply chains necessitates the expertise of specialized commodity traders to navigate market volatility and ensure secure and timely delivery of goods. The market is segmented by commodity type (metals, energy, agricultural, and others) and by the size of the businesses served (large enterprises and SMEs). While large enterprises dominate the market currently, the SME segment shows strong potential for future growth as businesses increasingly rely on external expertise for commodity sourcing. The geographical distribution of the commodity trading services market is diverse, with North America, Europe, and Asia Pacific representing the major regions. However, emerging markets in Asia and Africa are showing significant growth potential due to rapid industrialization and rising consumer demand. Competitive pressures within the industry are high, with numerous large multinational corporations vying for market share. These companies, including Vitol, Glencore, Trafigura, Mercuria, and Cargill, possess extensive global networks, strong financial capabilities, and deep expertise in risk management, allowing them to dominate the market. Nevertheless, smaller, specialized trading firms are also finding success by focusing on niche markets or employing innovative trading strategies. The overall outlook for the commodity trading services market remains optimistic, with continued growth expected over the coming years, albeit with some potential challenges related to geopolitical instability and regulatory changes.

  11. Russia Commodity Price: Channels

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Russia Commodity Price: Channels [Dataset]. https://www.ceicdata.com/en/russia/metals-trading-price/commodity-price-channels
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    May 4, 2020 - May 15, 2020
    Area covered
    Russia
    Variables measured
    Metal
    Description

    Russia Commodity Price: Channels data was reported at 43,802.000 RUB/Ton in 15 May 2020. This stayed constant from the previous number of 43,802.000 RUB/Ton for 14 May 2020. Russia Commodity Price: Channels data is updated daily, averaging 26,714.000 RUB/Ton from May 2005 (Median) to 15 May 2020, with 4595 observations. The data reached an all-time high of 52,297.000 RUB/Ton in 17 May 2018 and a record low of 14,356.000 RUB/Ton in 31 Mar 2006. Russia Commodity Price: Channels data remains active status in CEIC and is reported by Metal.Com.Ru Trade System. The data is categorized under Daily Database’s Commodity Prices and Futures – Table PG003: Metals Trading Price.

  12. Commodity Prices Dataset

    • kaggle.com
    Updated May 10, 2023
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    Ganesh Jainarain (2023). Commodity Prices Dataset [Dataset]. https://www.kaggle.com/datasets/richeyjay/commodity-prices-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 10, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ganesh Jainarain
    Description

    This dataset contains monthly historical prices of 10 different commodities from January 1980 to April 2023. The data was collected from the Alpha Vantage API using Python. The commodities included in the dataset are WTI crude oil, cotton, natural gas, coffee, sugar, aluminum, Brent crude oil, corn, copper, and wheat. Prices are reported in USD per unit of measurement for each commodity. The dataset contains 520 rows and 12 columns, with each row representing a monthly observation of the prices of the 10 commodities. The 'All_Commodities' column is new.

    WTI: WTI crude oil price per unit of measurement (USD). COTTON: Cotton price per unit of measurement (USD). NATURAL_GAS: Natural gas price per unit of measurement (USD). ALL_COMMODITIES: A composite index that represents the average price of all 10 commodities in the dataset, weighted by their individual market capitalizations. Prices are reported in USD per unit of measurement. COFFEE: Coffee price per unit of measurement (USD). SUGAR: Sugar price per unit of measurement (USD). ALUMINUM: Aluminum price per unit of measurement (USD). BRENT: Brent crude oil price per unit of measurement (USD). CORN: Corn price per unit of measurement (USD). COPPER: Copper price per unit of measurement (USD). WHEAT: Wheat price per unit of measurement (USD).

    Note that some values are missing in the dataset, represented by NaN. These missing values occur for some of the commodities in the earlier years of the dataset.

    It may be useful for time series analysis and predictive modeling.

    NaN values were included so that you as a Data Scientist can get some practice on dealing with NaN values.

    https://www.alphavantage.co/documentation/

  13. n

    Market Price Ratio of Agriculture Commodities 2060-2071, Annual price ratio...

    • microdata.nsonepal.gov.np
    Updated Sep 2, 2016
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    Agribusiness Promotion and Marketing Development Directorate (2016). Market Price Ratio of Agriculture Commodities 2060-2071, Annual price ratio - Nepal [Dataset]. https://microdata.nsonepal.gov.np/index.php/catalog/47
    Explore at:
    Dataset updated
    Sep 2, 2016
    Dataset authored and provided by
    Agribusiness Promotion and Marketing Development Directorate
    Time period covered
    2014 - 2015
    Area covered
    Nepal
    Description

    Abstract

    Agricultural Marketing is an integral part of a agricultural development. Agricultural marketing requires efficiency to acquire accelerated agricultural development in the economy. Within the agricultural marketing several functions are associated to reach the products from the hands of farmers to the ultimate consumer.

    Though agricultural market information system includes information on volume of product, quality, price, demographical structure, consumers' social economic condition, market institution, market infrastructure and capacity of manpower, most of concerns are on price information. So, agriculture marketing information is vital to minimize information gaps and uncertainties that exist in the agriculture sector of a developing economy. Marketing information is much needed for farmers in planning, production and marketing and equally needed by other market participants in arriving at optimal decisions. Keeping this in view, Agribusiness Promotion and Marketing Development Directorate (ABPMDD) publishes Special Issue on agricultural marketing information bulletin annually. It is a continues and ongoing activity, and this is the 24th Issue in the series.

    Geographic coverage

    Covers all agri market centers of Nepal.

    Analysis unit

    Agri commodity price (Metric Ton).

    Universe

    All agriculture market centers

    Kind of data

    Aggregate data [agg]

    Sampling procedure

    Agriculture Business Promotion and Marketing Development Directorate sampled 43 agriculture commodities and certain market centers throughout the country.

    Sampling deviation

    Price may vary but no deviation on sample

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The format of the questionnare was standard structured. The standard structured format had been send from central level to district level.

    Cleaning operations

    Center based data editing by mannually.

    Response rate

    100%

    Sampling error estimates

    Recomended less than 15%

  14. Daily stock price indexes of food commodities 2020-2025

    • statista.com
    Updated Feb 6, 2025
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    Statista (2025). Daily stock price indexes of food commodities 2020-2025 [Dataset]. https://www.statista.com/statistics/1343824/daily-stock-price-indexes-of-food-commodities/
    Explore at:
    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2, 2020 - Feb 6, 2025
    Area covered
    Worldwide
    Description

    This statistic shows the stock prices of selected food commodities from January 2, 2020 to February 6, 2025. After the Russian invasion of Ukraine in February 2022, wheat prices increased significantly since both Russia and Ukraine are the key suppliers of the product. With the beginning of 2023, prices of selected food commodities started to decrease, but still stood higher than early-2020 levels.

  15. C

    Commodity Trading Services Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 26, 2025
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    Data Insights Market (2025). Commodity Trading Services Report [Dataset]. https://www.datainsightsmarket.com/reports/commodity-trading-services-1946249
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global commodity trading services market is a highly concentrated industry dominated by major players like Vitol, Glencore, Trafigura, and Cargill. While precise market sizing data is absent, industry reports suggest a substantial market valued in the hundreds of billions of dollars annually. A conservative estimate, based on typical industry growth rates and publicly available information regarding the largest players' revenues, places the 2025 market size at approximately $500 billion. This sector is characterized by a moderate Compound Annual Growth Rate (CAGR), projected to be around 4-5% from 2025 to 2033, driven primarily by increasing global demand for raw materials, particularly in emerging economies experiencing rapid industrialization. Key trends include the increasing adoption of digital technologies to improve efficiency and transparency across the supply chain, a focus on sustainability and ethical sourcing practices responding to growing environmental concerns, and the ongoing consolidation of market participants through mergers and acquisitions. However, the market faces constraints such as geopolitical instability, volatile commodity prices, and increasing regulatory scrutiny related to environmental, social, and governance (ESG) factors. Segmentation within the commodity trading services market is diverse, encompassing energy (oil, gas, power), agricultural products (grains, soft commodities, livestock), metals, and minerals. Each segment exhibits unique growth dynamics influenced by specific supply and demand factors. The energy segment remains the largest, although the agricultural and metals segments are also significant and projected to experience growth fueled by population growth and infrastructure development. The competitive landscape, characterized by intense competition among established players, also presents opportunities for specialized niche traders and technology-driven startups offering innovative solutions to optimize trading processes and improve risk management. Growth in the coming years will be strongly influenced by factors such as economic recovery patterns following recent global instability, emerging market growth, and government policy.

  16. 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.

  17. C

    China CN: Settlement Price: Dailian Commodity Exchange: Polypropylene: 1st...

    • ceicdata.com
    Updated Mar 18, 2018
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    CEICdata.com (2018). China CN: Settlement Price: Dailian Commodity Exchange: Polypropylene: 1st Month [Dataset]. https://www.ceicdata.com/en/china/dalian-commodity-exchange-commodity-futures-settlement-price
    Explore at:
    Dataset updated
    Mar 18, 2018
    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 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Securities Price Index
    Description

    CN: Settlement Price: Dailian Commodity Exchange: Polypropylene: 1st Month data was reported at 7,244.000 RMB/Ton in Apr 2025. This records a decrease from the previous number of 7,294.000 RMB/Ton for Mar 2025. CN: Settlement Price: Dailian Commodity Exchange: Polypropylene: 1st Month data is updated monthly, averaging 8,380.000 RMB/Ton from Feb 2014 (Median) to Apr 2025, with 135 observations. The data reached an all-time high of 11,599.000 RMB/Ton in Aug 2014 and a record low of 6,206.000 RMB/Ton in Jan 2016. CN: Settlement Price: Dailian Commodity Exchange: Polypropylene: 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.

  18. F

    Cumulated Net Diffusion Index, Industrial Raw Materials Spot Market Prices,...

    • fred.stlouisfed.org
    json
    Updated Aug 20, 2012
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    (2012). Cumulated Net Diffusion Index, Industrial Raw Materials Spot Market Prices, Thirteen Commodities, Three Month Span for United States [Dataset]. https://fred.stlouisfed.org/series/M16091USM509NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 20, 2012
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Cumulated Net Diffusion Index, Industrial Raw Materials Spot Market Prices, Thirteen Commodities, Three Month Span for United States (M16091USM509NNBR) from Mar 1948 to Dec 1958 about diffusion, materials, 3-month, Net, commodities, industry, indexes, and USA.

  19. d

    Electronics | Product Data | Commodity Prices Data | Benchmarking | Market...

    • datarade.ai
    Updated Dec 22, 2024
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    costdata (2024). Electronics | Product Data | Commodity Prices Data | Benchmarking | Market Prices | Technical Specifications | Region | Purchase Volume [Dataset]. https://datarade.ai/data-products/electronics-product-data-commodity-prices-data-benchmar-costdata
    Explore at:
    Dataset updated
    Dec 22, 2024
    Dataset authored and provided by
    costdata
    Area covered
    Armenia, Mauritania, Heard Island and McDonald Islands, Jamaica, Isle of Man, Czech Republic, Taiwan, Bermuda, Zimbabwe, Mongolia
    Description

    The electronics dataset from costdata ensures the highest level of data quality, enabling you to:

    • Reduce material and component costs through accurate analyses • Make strategic decisions for procurement and production • Optimize supplier negotiations with up-to-date and accurate market data

    How to get started:

    • Request a free demo or sample data set • Contact our team for personalized consultation • Discover how our data packages can simplify your work

    Contact us today and take the next step in your data-driven decision-making!

  20. S

    Commodity Market Corn Price

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
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    IndexBox Inc. (2025). Commodity Market Corn Price [Dataset]. https://www.indexbox.io/search/commodity-market-corn-price/
    Explore at:
    doc, xlsx, xls, pdf, docxAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    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 - Jun 24, 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 the factors that impact corn prices in the commodity market, including weather, supply and demand, government policies, and market speculation. Gain insight into this complex market to make informed decisions and plan for changes in this vital commodity cost.

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LSEG (2024). Real Time Commodities Pricing Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/commodities-data/real-time-commodities-pricing-data
Organization logo

Real Time Commodities Pricing Data

Explore at:
csv,delimited,gzip,json,python,user interface,xml,zip archiveAvailable download formats
Dataset updated
Nov 25, 2024
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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