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
    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
    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.

  2. Futures Trading Service Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Futures Trading Service Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/futures-trading-service-market
    Explore at:
    pptx, pdf, csvAvailable 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

    Futures Trading Service Market Outlook



    The global futures trading service market size was valued at USD 5.2 billion in 2023 and is projected to reach USD 10.8 billion by 2032, growing at a CAGR of 8.5% during the forecast period. The significant growth in market size can be attributed to increased trading activities, technological advancements in trading platforms, and rising interest from individual and institutional investors alike.



    A major growth factor for the futures trading service market is the rising prevalence of advanced trading platforms and technologies. Technological advancements have made futures trading more accessible and efficient, enabling traders to execute complex strategies with greater ease. The integration of artificial intelligence and machine learning into trading algorithms has also enhanced decision-making processes, resulting in improved trading outcomes and increased market participation.



    Another key driver is the increased participation of institutional investors. As financial markets become more interconnected, institutional investors are increasingly turning to futures trading to hedge against market volatility and optimize their portfolios. The availability of diverse asset classes within futures trading, including commodities, financials, and indices, provides these investors with a wide range of options to manage their risk exposure effectively.



    Moreover, the growing interest among individual investors is fueling market expansion. The democratization of trading platforms has lowered entry barriers, allowing retail traders to participate in futures markets. Educational resources and advisory services provided by brokerage firms further support individual investors in navigating the complexities of futures trading, thereby contributing to market growth.



    Commodity Services play a pivotal role in the futures trading market, offering a wide range of opportunities for both hedgers and speculators. These services encompass the trading of various commodities such as agricultural products, energy resources, and precious metals. The inherent volatility in commodity prices makes futures contracts an attractive tool for managing risk and securing price stability. As global demand for commodities continues to rise, driven by factors like population growth and industrialization, the importance of robust commodity services in futures trading becomes increasingly evident. These services not only facilitate efficient price discovery but also provide a platform for market participants to capitalize on price movements and achieve their financial objectives.



    In terms of regional outlook, North America holds the largest market share due to the presence of major financial institutions and advanced trading infrastructure. The Asia Pacific region is expected to witness the highest growth rate, driven by increasing economic development, rising disposable incomes, and the expansion of financial markets in countries like China and India. Europe also shows significant potential, with well-established financial hubs such as London and Frankfurt contributing to market growth.



    Service Type Analysis



    The futures trading service market can be segmented by service type into brokerage services, trading platforms, advisory services, and others. Brokerage services dominate the market, providing essential intermediary functions that facilitate trading activities. These services are crucial for both individual and institutional investors, offering benefits such as access to diverse markets, real-time data, and personalized customer support. The competitive landscape among brokerage firms is intense, with key players continuously enhancing their offerings to attract and retain clients.



    Trading platforms are another significant segment within the futures trading service market. These platforms offer a suite of tools and features that enable traders to execute trades, monitor market conditions, and analyze trends. The evolution of trading platforms from desktop-based applications to web-based and mobile solutions has made it easier for traders to engage with the market anytime and anywhere. Features such as automated trading, advanced charting, and customizable interfaces are driving the adoption of these platforms among traders.



    Advisory services play a critical role in guiding investors through the complexities of futures trading. These services provide expert anal

  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
    Explore at:
    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: 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.

  5. T

    Corn - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 23, 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 23, 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 - Jul 3, 2025
    Area covered
    World
    Description

    Corn rose to 432.94 USd/BU on July 3, 2025, up 0.86% from the previous day. Over the past month, Corn's price has fallen 1.32%, but it is still 2.11% higher 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 July of 2025.

  6. T

    Orange Juice - Price Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 14, 2015
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    TRADING ECONOMICS (2015). Orange Juice - Price Data [Dataset]. https://tradingeconomics.com/commodity/orange-juice
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Dec 14, 2015
    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
    Jun 16, 1977 - Jul 3, 2025
    Area covered
    World
    Description

    Orange Juice rose to 210.50 USd/Lbs on July 3, 2025, up 6.26% from the previous day. Over the past month, Orange Juice's price has fallen 23.91%, and is down 52.64% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Orange Juice - values, historical data, forecasts and news - updated on July of 2025.

  7. 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.

  8. 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.

  9. C

    China CN: Settlement Price: Dalian Commodity Exchange: Fiberboard: 1st month...

    • ceicdata.com
    Updated Mar 18, 2018
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    CEICdata.com (2018). China CN: Settlement Price: Dalian Commodity Exchange: Fiberboard: 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
    Dec 1, 2018 - Nov 1, 2019
    Area covered
    China
    Variables measured
    Securities Price Index
    Description

    CN: Settlement Price: Dalian Commodity Exchange: Fiberboard: 1st month data was reported at 95.200 RMB/Piece in Nov 2019. This records an increase from the previous number of 92.700 RMB/Piece for Oct 2019. CN: Settlement Price: Dalian Commodity Exchange: Fiberboard: 1st month data is updated monthly, averaging 67.675 RMB/Piece from Dec 2013 (Median) to Nov 2019, with 72 observations. The data reached an all-time high of 158.000 RMB/Piece in Dec 2018 and a record low of 40.750 RMB/Piece in Mar 2016. CN: Settlement Price: Dalian Commodity Exchange: Fiberboard: 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. 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
    Explore at:
    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).

  11. 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.

  12. d

    Financial Derivatives EoD Pricing | Options & Futures Pricing Data on...

    • datarade.ai
    .csv, .xls
    Updated Sep 5, 2024
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    Exchange Data International (2024). Financial Derivatives EoD Pricing | Options & Futures Pricing Data on Commodities [Dataset]. https://datarade.ai/data-products/edi-financial-derivatives-eod-pricing-commodities-options-exchange-data-international
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Exchange Data International
    Area covered
    Denmark, Malta, Belarus, Lithuania, Svalbard and Jan Mayen, United Kingdom, Moldova (Republic of), Finland, Latvia, Bulgaria
    Description

    This dataset provides comprehensive end-of-day (EoD) pricing data for commodities options and futures, offering insights across a variety of currencies. It caters to traders, analysts, and institutions involved in commodity markets, providing critical data for hedging, risk management, and market analysis.

    Key features of the dataset include:

    End-of-Day Prices: Daily closing prices for a broad range of commodities options and futures. Commodities Coverage: Includes key commodity sectors such as energy (oil, natural gas), metals (gold, silver), agriculture (wheat, corn), and more. Multi-Currency Data: Pricing information is available in various currencies, allowing for global market analysis and cross-currency comparisons. Trading Volume & Open Interest: Data on the number of contracts traded and outstanding positions for market activity insights.

    This dataset is essential for those tracking the commodities market, providing actionable data for strategy development, risk management, and financial decision-making.

    Choose reference data from EDI and you will benefit from:

    • A global data vendor offering affordable pricing structure.
    • Fully customized data set to precisely fit your requirements.
    • Flexible enterprise data licence options, we sell data, we do not rent data.
    • Services from a company whose on-going commitment is to provide quality reference data solutions.
  13. 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.

  14. C

    China CN: Settlement Price: Shanghai Future Exchange: Fuel Oil: 2nd Month

    • ceicdata.com
    Updated Dec 23, 2018
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    CEICdata.com (2018). China CN: Settlement Price: Shanghai Future Exchange: Fuel Oil: 2nd Month [Dataset]. https://www.ceicdata.com/en/china/shanghai-futures-exchange-commodity-futures-settlement-price
    Explore at:
    Dataset updated
    Dec 23, 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: Shanghai Future Exchange: Fuel Oil: 2nd Month data was reported at 3,019.000 RMB/Ton in Apr 2025. This records a decrease from the previous number of 3,202.000 RMB/Ton for Mar 2025. CN: Settlement Price: Shanghai Future Exchange: Fuel Oil: 2nd Month data is updated monthly, averaging 3,326.000 RMB/Ton from Aug 2004 (Median) to Apr 2025, with 249 observations. The data reached an all-time high of 5,593.000 RMB/Ton in Apr 2013 and a record low of 1,224.000 RMB/Ton in Apr 2020. CN: Settlement Price: Shanghai Future Exchange: Fuel Oil: 2nd Month 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: Settlement Price.

  15. I

    India Commodity Index: Multi Commodity Exchange of India: Future Price:...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). India Commodity Index: Multi Commodity Exchange of India: Future Price: Agriculture [Dataset]. https://www.ceicdata.com/en/india/commodity-index/commodity-index-multi-commodity-exchange-of-india-future-price-agriculture
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Nov 14, 2018 - Nov 29, 2018
    Area covered
    India
    Description

    Commodity Index: Multi Commodity Exchange of India: Future Price: Agriculture data was reported at 2,854.700 2001=1000 in 10 Dec 2018. This records an increase from the previous number of 2,831.800 2001=1000 for 07 Dec 2018. Commodity Index: Multi Commodity Exchange of India: Future Price: Agriculture data is updated daily, averaging 2,200.475 2001=1000 from Jun 2005 (Median) to 10 Dec 2018, with 3904 observations. The data reached an all-time high of 3,716.580 2001=1000 in 16 Apr 2012 and a record low of 1,277.850 2001=1000 in 28 Jun 2005. Commodity Index: Multi Commodity Exchange of India: Future Price: Agriculture data remains active status in CEIC and is reported by Multi Commodity Exchange of India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZF004: Commodity Index.

  16. T

    CRB Commodity Index - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). CRB Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/crb
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 27, 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
    Jan 3, 1994 - Jul 2, 2025
    Area covered
    World
    Description

    CRB Index rose to 369.48 Index Points on July 2, 2025, up 1.58% from the previous day. Over the past month, CRB Index's price has risen 1.66%, and is up 7.03% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on July of 2025.

  17. 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
    Explore at:
    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.

  18. Energy Futures Market Data & APIs | Databento

    • databento.com
    csv, dbn, json +1
    Updated Aug 20, 2024
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    Databento (2024). Energy Futures Market Data & APIs | Databento [Dataset]. https://databento.com/futures/commodity/energy
    Explore at:
    dbn, json, csv, parquetAvailable download formats
    Dataset updated
    Aug 20, 2024
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 21, 2017 - Present
    Area covered
    North America, Europe
    Description

    Access global energy markets and benchmarks in one integration, including real-time and historical data on crude oil, natural gas, and power derivatives.

    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.

  19. Daily historical price ranges of Wheat, Corn and Oats futures

    • zenodo.org
    • data.niaid.nih.gov
    csv
    Updated Apr 14, 2021
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    Matthias Huss; Matthias Huss; Marco Haase; Heinz Zimmermann; Marco Haase; Heinz Zimmermann (2021). Daily historical price ranges of Wheat, Corn and Oats futures [Dataset]. http://doi.org/10.5281/zenodo.4683724
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 14, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Matthias Huss; Matthias Huss; Marco Haase; Heinz Zimmermann; Marco Haase; Heinz Zimmermann
    License

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

    Description

    The dataset contains daily price ranges calculated from the daily high and low prices for Chicago Wheat, Corn, and Oats futures contracts, starting in 1877. The data is manually extracted from the ``Annual Reports of the Trade and Commerce of Chicago'' (today, the Chicago Board of Trade, CBOT, which is part of the CME group).

    The price range is calculated as Ranget = ln(Ht) - ln(Lt), where Ht and Lt are the highest and lowest price observed on trading day t.

    Description of the dataset:

    • Date: The trading day, format dd-mm-yyyy
    • Range_W_F1: Price range Wheat futures, First expiration (nearby contract)
    • Range_W_F2: Price range Wheat futures, Second expiration
    • Range_C_F1: Price range Corn futures, First expiration (nearby contract)
    • Range_C_F2: Price range Corn futures, Second expiration
    • Range_O_F1: Price range Oats futures, First expiration (nearby contract)
    • Range_O_F2: Price range Oats futures, Second expiration
  20. Platinum futures contracts price in U.S. by month 2019-2024, with forecasts...

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2024
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    Statista (2024). Platinum futures contracts price in U.S. by month 2019-2024, with forecasts to 2027 [Dataset]. https://www.statista.com/statistics/1239044/platinum-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

    Platinum futures contracts to be settled in January 2024 were trading on U.S. markets at 1,089 U.S. dollars per troy ounce on June 20, 2024. This is slightly above the price of 1,042 U.S. dollars per troy ounce for contracts to be settled in May 2024, indicating that platinum traders expect the price of platinum to increase a little over the next year. Platinum futures are contracts that effectively lock in a price for an amount of platinum 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.

Share
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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
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.

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