100+ datasets found
  1. Commodity Futures Market Data & APIs | Databento

    • databento.com
    csv, dbn, json +1
    Updated Jan 14, 2025
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    Databento (2025). Commodity Futures Market Data & APIs | Databento [Dataset]. https://databento.com/futures/commodity
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    dbn, parquet, csv, jsonAvailable download formats
    Dataset updated
    Jan 14, 2025
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 21, 2017 - Present
    Area covered
    Europe, North America
    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.

  2. o

    Commodity Futures Trading Commission

    • openomb.org
    Updated Mar 23, 2025
    + more versions
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    OpenOMB (2025). Commodity Futures Trading Commission [Dataset]. https://openomb.org/file/11318894
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    Dataset updated
    Mar 23, 2025
    Dataset authored and provided by
    OpenOMB
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Apportionment file 11318894 retrieved from OMB public records

  3. Monetary Policy and Commodity Futures

    • icpsr.umich.edu
    Updated Nov 28, 2005
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    Armesto, Michelle T.; Gavin, William T. (2005). Monetary Policy and Commodity Futures [Dataset]. http://doi.org/10.3886/ICPSR01315.v1
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    Dataset updated
    Nov 28, 2005
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Armesto, Michelle T.; Gavin, William T.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1315/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1315/terms

    Description

    This paper constructs daily measures of the real interest rate and expected inflation using commodity futures prices and the term structure of Treasury yields. We find that commodity futures markets respond to surprise increases in the federal funds rate target by raising the inflation rate expected over the next three to nine months. There is no evidence that the real interest rate responds to surprises in the federal funds target. The data from the commodity futures markets are highly volatile. We show that one can substantially reduce the noise using limited information estimators such as the median change. Nevertheless, the basket of commodities actually traded daily is quite narrow and we do not know whether our observable rates are closely connected to the unobservable inflation and real rates that affect economy-wide consumption and investment decisions.

  4. C

    China CN: Turnover: CSRC: Commodity Futures: Volume: Agricultural Product...

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). China CN: Turnover: CSRC: Commodity Futures: Volume: Agricultural Product (AP) [Dataset]. https://www.ceicdata.com/en/china/china-securities-regulatory-commisssion-csrc-futures-turnover/cn-turnover-csrc-commodity-futures-volume-agricultural-product-ap
    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
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Turnover
    Description

    China Turnover: CSRC: Commodity Futures: Volume: Agricultural Product (AP) data was reported at 2,048,495.026 Lot th in 2023. This records an increase from the previous number of 1,641,614.137 Lot th for 2022. China Turnover: CSRC: Commodity Futures: Volume: Agricultural Product (AP) data is updated yearly, averaging 1,600,371.041 Lot th from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 2,873,978.068 Lot th in 2016 and a record low of 48,353.328 Lot th in 2000. China Turnover: CSRC: Commodity Futures: Volume: Agricultural Product (AP) data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: China Securities Regulatory Commisssion (CSRC): Futures: Turnover. Data statistics from double-counted basis to single-counted basis since 1Jan2025

  5. F

    Futures Trading Service Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 6, 2025
    + more versions
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    Archive Market Research (2025). Futures Trading Service Report [Dataset]. https://www.archivemarketresearch.com/reports/futures-trading-service-52195
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 6, 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 futures trading services market is experiencing robust growth, driven by increasing market volatility, the expanding adoption of algorithmic trading, and the rise of sophisticated trading platforms. The market, currently valued at approximately $15 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching an estimated value of $28 billion by 2033. This growth is fueled by the rising popularity of both software-based and web-based futures trading platforms, particularly those offering access to share price index futures and commodity futures. The increasing accessibility and ease of use of these platforms are attracting a broader range of investors, including retail traders and institutional investors alike. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are enhancing trading strategies and further driving market expansion. Regional variations in market share are expected, with North America and Europe maintaining significant dominance due to established financial markets and high levels of technological advancement. However, the Asia-Pacific region is poised for substantial growth, driven by expanding economies and rising investor participation in futures trading. Competitive pressures remain intense, with established players like Daniels Trading and Saxo competing with newer, technology-focused firms like Tradovate and NinjaTrader. The market's growth trajectory, however, is not without challenges. Regulatory scrutiny, cybersecurity threats, and the potential for market manipulation are key restraints that could impact future growth. Nevertheless, the overall outlook for the futures trading services market remains positive, indicating significant opportunities for existing and new market entrants.

  6. Commodity futures and options: contracts traded globally 2005-2019, by...

    • statista.com
    • ai-chatbox.pro
    Updated Jan 11, 2022
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    Statista (2022). Commodity futures and options: contracts traded globally 2005-2019, by commodity type [Dataset]. https://www.statista.com/statistics/535471/commodity-futures-and-options-contracts-traded-globally/
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    Dataset updated
    Jan 11, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic shows the number of commodity contracts - futures and options - traded globally from 2005 to 2019, listed by type of commodity. The number of agricultural futures and options traded in 2019 amounted to nearly 1.8 billion.

  7. f

    Datasets for the Role of Financial Investors in Commodity Futures Risk...

    • figshare.com
    application/x-rar
    Updated Dec 6, 2019
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    Mohammad Isleimeyyeh (2019). Datasets for the Role of Financial Investors in Commodity Futures Risk Premium [Dataset]. http://doi.org/10.6084/m9.figshare.9334793.v2
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    application/x-rarAvailable download formats
    Dataset updated
    Dec 6, 2019
    Dataset provided by
    figshare
    Authors
    Mohammad Isleimeyyeh
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The datasets for the Role of Financial Investors on Commodity Futures Risk Premium are weekly datasets for the period from 1995 to 2015 for three commodities in the energy market: crude oil (WTI), heating oil, and natural gas. These datasets contain futures prices for different maturities, open interest positions for each commodity (long and short open interest positions), and S&P 500 composite index. The selected commodities are traded on the New York Mercantile Exchange (NYMEX). The data comes from the Thomson Reuters Datastream and from the Commodity Futures Trading Commission (CFTC).

  8. Number of futures and options contracts traded globally 2013-2022

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Number of futures and options contracts traded globally 2013-2022 [Dataset]. https://www.statista.com/statistics/377025/global-futures-and-options-volume/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2022, ***** billion futures contracts were traded worldwide, up from ***** billion in 2013. The number of options contracts traded increased from **** to ***** billion contracts in the same period. Both contracts are financial derivatives, used to manage financial risk and speculate on future market performance. What are derivatives? Derivatives are financial instruments that are based on an underlying asset, such as a stock price, commodity value, or currency. There are multiple categories of derivatives, but this statistic focuses on futures and options. Futures contracts are the commitment to buy or sell the underlying at a future date for a set price. Options contracts are similar, but the holder is not required to execute the contract. Derivatives are often bought and sold on specific exchanges. What are derivatives used for? The promise of a futures contract is appealing to investors and firms who want to guarantee their expenses. For example, volatile commodities such as crude oil can rise suddenly, so a futures contract can hedge against a rise that would be damaging to a firm that relies heavily on gasoline, such as a transport company.

  9. o

    Commodity Futures Trading Commission

    • openomb.org
    Updated Mar 23, 2025
    + more versions
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    OpenOMB (2025). Commodity Futures Trading Commission [Dataset]. https://openomb.org/file/11405871
    Explore at:
    Dataset updated
    Mar 23, 2025
    Dataset authored and provided by
    OpenOMB
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Apportionment file 11405871 retrieved from OMB public records

  10. China CN: Turnover: Volume: Shanghai Future Exchange: Gold

    • ceicdata.com
    Updated Dec 23, 2018
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    CEICdata.com (2018). China CN: Turnover: Volume: Shanghai Future Exchange: Gold [Dataset]. https://www.ceicdata.com/en/china/shanghai-futures-exchange-commodity-futures-turnover
    Explore at:
    Dataset updated
    Dec 23, 2018
    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Turnover
    Description

    CN: Turnover: Volume: Shanghai Future Exchange: Gold data was reported at 18,032.347 Unit th in Apr 2025. This records an increase from the previous number of 8,955.445 Unit th for Mar 2025. CN: Turnover: Volume: Shanghai Future Exchange: Gold data is updated monthly, averaging 3,182.712 Unit th from Jan 2008 (Median) to Apr 2025, with 208 observations. The data reached an all-time high of 18,032.347 Unit th in Apr 2025 and a record low of 179.748 Unit th in Feb 2011. CN: Turnover: Volume: Shanghai Future Exchange: Gold data remains active status in CEIC and is reported by Shanghai Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Turnover.

  11. S

    Crude Oil Commodity Futures

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Crude Oil Commodity Futures [Dataset]. https://www.indexbox.io/search/crude-oil-commodity-futures/
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    pdf, doc, xls, docx, xlsxAvailable download formats
    Dataset updated
    Jul 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 - Jul 1, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Crude oil commodity futures are financial contracts that allow investors to speculate on the future price of crude oil. These futures contracts are traded on commodity exchanges, and they offer a standardized method for individuals and institutions to buy or sell crude oil at a predetermined price and date in the future. Learn more about how crude oil futures work and the various participants in the market.

  12. T

    Commodities Prices - Spot - Futures

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
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    TRADING ECONOMICS (2017). Commodities Prices - Spot - Futures [Dataset]. https://tradingeconomics.com/commodities?commodity=rock-phosphate&months=360uk/
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    May 26, 2017
    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
    2025
    Area covered
    World
    Description

    The commodity prices displayed in Trading Economics are based on over-the-counter (OTC) and contract for difference (CFD) financial instruments. Our market prices are intended to provide you with a reference only, rather than as a basis for making trading decisions. Trading Economics does not verify any data and disclaims any obligation to do so. This dataset provides a table with prices for several commodities including the latest price for the nearby futures contract, yesterday close, plus weekly, monthly and yearly percentage changes. This dataset provides a table with prices for several commodities including the latest price for the nearby futures contract, yesterday close, plus weekly, monthly and yearly percentage changes.

  13. 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.

  14. 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.

  15. d

    Huge Transaction Volume Statistics - Futures Commodities

    • data.gov.tw
    csv
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    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., Huge Transaction Volume Statistics - Futures Commodities [Dataset]. https://data.gov.tw/en/datasets/22651
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Huge transaction volume statistics - futures products (Taiwan Futures Exchange)

  16. Silver futures contracts price in the U.S. by month 2019-2024, with...

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2024
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    Statista (2024). Silver futures contracts price in the U.S. by month 2019-2024, with forecasts to 2028 [Dataset]. https://www.statista.com/statistics/1239034/silver-futures-price-usa/
    Explore at:
    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2019 - May 2024
    Area covered
    United States
    Description

    Silver futures contracts to be settled in December 2028 were trading on U.S. markets at around 34 U.S. dollars per troy ounce on June 20, 2023. This is above the price of 30.44 U.S. dollars per troy ounce for contracts to be settled in May 2024, indicating silver traders expect the price of silver to decrease over the next five years. Silver futures are contracts that effectively lock in a price for an amount of silver to be purchased at a time in the future, which can then be traded on markets. Futures markets therefore provide an indicator of how investors think a commodities market will develop in the future.

  17. J

    Japan Commodity Futures: Volume: Average: Palladium

    • ceicdata.com
    Updated May 15, 2018
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    CEICdata.com (2018). Japan Commodity Futures: Volume: Average: Palladium [Dataset]. https://www.ceicdata.com/en/japan/commodity-futures
    Explore at:
    Dataset updated
    May 15, 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
    May 1, 2017 - Apr 1, 2018
    Area covered
    Japan
    Variables measured
    Turnover
    Description

    Commodity Futures: Volume: Average: Palladium data was reported at 141.000 Lot in Jun 2018. This records an increase from the previous number of 105.000 Lot for May 2018. Commodity Futures: Volume: Average: Palladium data is updated monthly, averaging 423.000 Lot from Jan 2000 (Median) to Jun 2018, with 222 observations. The data reached an all-time high of 26,914.000 Lot in Jan 2000 and a record low of 83.000 Lot in Oct 2016. Commodity Futures: Volume: Average: Palladium data remains active status in CEIC and is reported by The Tokyo Commodity Exchange. The data is categorized under Global Database’s Japan – Table JP.Z017: Commodity Futures.

  18. The futures market has substantial trading information for each commodity.

    • data.gov.tw
    csv
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    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., The futures market has substantial trading information for each commodity. [Dataset]. https://data.gov.tw/en/datasets/11591
    Explore at:
    csvAvailable download formats
    Dataset provided by
    Securities and Futures Bureauhttps://www.sfb.gov.tw/en/
    Authors
    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Provide daily trading volume statistics for various commodities in the futures market (Taiwan Futures Exchange)

  19. T

    Eggs - Price Data

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). Eggs - Price Data [Dataset]. https://tradingeconomics.com/commodity/eggs-ch
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jul 3, 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
    Nov 8, 2013 - Jul 3, 2025
    Area covered
    World
    Description

    Eggs CH fell to 3,558 CNY/T on July 3, 2025, down 0.08% from the previous day. Over the past month, Eggs CH's price has risen 23.54%, but it is still 10.26% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Eggs CH.

  20. Disaggregated Futures-Only Commitments of Traders

    • data.wu.ac.at
    txt
    Updated Jan 12, 2014
    + more versions
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    Commodity Futures Trading Commission (2014). Disaggregated Futures-Only Commitments of Traders [Dataset]. https://data.wu.ac.at/odso/data_gov/Q0ZUQy0xMzIw
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jan 12, 2014
    Dataset provided by
    Commodity Futures Trading Commissionhttp://www.cftc.gov/
    Description

    The Disaggregated Futures-Only Commitments of Traders dataset provides a breakdown of each week's open interest for agriculture, energy, metals, lumber, and emissions futures markets in which 20 or more traders hold positions equal to or above the reporting levels established by the CFTC. Open interest is reported separately by reportable and non-reportable positions for Producer/Merchant/Processor/User, Swap Dealers, Managed Money. and Other Reportables holdings, including spreading, changes from the previous report, percents of open interest by category, and numbers of traders. Agriculture futures market data is also grouped by crop year, where appropriate, and shows the concentration of positions held by the largest four and eight traders.

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Databento (2025). Commodity Futures Market Data & APIs | Databento [Dataset]. https://databento.com/futures/commodity
Organization logo

Commodity Futures Market Data & APIs | Databento

Real-time and historical commodity futures prices

Explore at:
dbn, parquet, csv, jsonAvailable download formats
Dataset updated
Jan 14, 2025
Dataset provided by
Databento Inc.
Authors
Databento
Time period covered
May 21, 2017 - Present
Area covered
Europe, North America
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.

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