100+ datasets found
  1. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 20, 2025
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    TRADING ECONOMICS (2025). Gold - Price Data [Dataset]. https://tradingeconomics.com/commodity/gold
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Aug 20, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 3, 1968 - Aug 20, 2025
    Area covered
    World
    Description

    Gold rose to 3,340.84 USD/t.oz on August 20, 2025, up 0.71% from the previous day. Over the past month, Gold's price has fallen 1.71%, but it is still 32.96% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on August of 2025.

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

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

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

    Description

    Dataset Card for Sentiment Analysis of Commodity News (Gold)

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

  3. Top performing gold ETCs worldwide 2024, by annual return

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Top performing gold ETCs worldwide 2024, by annual return [Dataset]. https://www.statista.com/statistics/1329462/top-performing-gold-etfs-etcs-annual-return/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2024
    Area covered
    Worldwide
    Description

    As of the end of April 2024, boerse.de Gold was the best-performing gold exchange-traded commodity (ETC) worldwide. EUWAX Gold followed closely behind in second place, providing an annual return of ***** percent by the month of April.

  4. Gold futures contracts price in the U.S. by month 2019-2025, with forecasts...

    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). Gold futures contracts price in the U.S. by month 2019-2025, with forecasts to 2030 [Dataset]. https://www.statista.com/forecasts/1238926/gold-futures-price-usa
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2019 - May 2025
    Area covered
    United States
    Description

    As of June 25, 2024, gold futures contracts to be settled in June 2030 were trading on U.S. markets at around ***** U.S. dollars per troy ounce. This is above the price of ******* U.S. dollars per troy ounce for contracts to be settled in June 2025, indicating that gold traders expect the price of gold to rise over the next five years. Gold futures are contracts that effectively lock in a price for an amount of gold 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.

  5. A

    ‘Sentiment Analysis of Commodity News (Gold)’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Oct 2, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Sentiment Analysis of Commodity News (Gold)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-sentiment-analysis-of-commodity-news-gold-732f/e3232de2/?iid=002-047&v=presentation
    Explore at:
    Dataset updated
    Oct 2, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Sentiment Analysis of Commodity News (Gold)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ankurzing/sentiment-analysis-in-commodity-market-gold on 14 February 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    This is a news dataset for the commodity market where we have manually annotated 11,412 news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021).

    Content

    The dataset has been collected from various news sources and annotated by three human annotators who were subject experts. Each news headline was evaluated on various dimensions, for instance - if a headline is a price related news then what is the direction of price movements it is talking about; whether the news headline is talking about the past or future; whether the news item is talking about asset comparison; etc.

    Acknowledgements

    Sinha, Ankur, and Tanmay Khandait. "Impact of News on the Commodity Market: Dataset and Results." In Future of Information and Communication Conference, pp. 589-601. Springer, Cham, 2021.

    https://arxiv.org/abs/2009.04202 Sinha, Ankur, and Tanmay Khandait. "Impact of News on the Commodity Market: Dataset and Results." arXiv preprint arXiv:2009.04202 (2020)

    We would like to acknowledge the financial support provided by the India Gold Policy Centre (IGPC).

    Inspiration

    Commodity prices are known to be quite volatile. Machine learning models that understand the commodity news well, will be able to provide an additional input to the short-term and long-term price forecasting models. The dataset will also be useful in creating news-based indicators for commodities.

    Apart from researchers and practitioners working in the area of news analytics for commodities, the dataset will also be useful for researchers looking to evaluate their models on classification problems in the context of text-analytics. Some of the classes in the dataset are highly imbalanced and may pose challenges to the machine learning algorithms.

    --- Original source retains full ownership of the source dataset ---

  6. Gold-Price-Indian-Market

    • kaggle.com
    Updated Jul 24, 2022
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    Pritam Das (2022). Gold-Price-Indian-Market [Dataset]. https://www.kaggle.com/datasets/tsr564/goldpriceindianmarket
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 24, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Pritam Das
    Area covered
    India
    Description

    This Dataset contains Historical Price of Gold in Indian Commodity Market . The data has been collected from https://in.investing.com/commodities/ using web scrapping . The script can be customized to suit the needs (like customizing frequency interval , commodity type etc ) Link to web scrapping script - https://github.com/Pritam3355/web_scrapping/blob/master/stock_price.py

    Column contains - Date, Price ,Open , High ,Low ,Volume ,Chg% these columns can be sorted first in the website then use the url in script to download the data according to your need

  7. C

    China CN: Commodity Trading Market over 100 M Yuan: Turnover: Retail: Gold,...

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). China CN: Commodity Trading Market over 100 M Yuan: Turnover: Retail: Gold, Jeweller, Jade Market [Dataset]. https://www.ceicdata.com/en/china/commodity-trading-market-over-100-million-yuan-turnover-retail/cn-commodity-trading-market-over-100-m-yuan-turnover-retail-gold-jeweller-jade-market
    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
    Industrial Sales / Turnover
    Description

    China Commodity Trading Market over 100 M Yuan: Turnover: Retail: Gold, Jeweller, Jade Market data was reported at 2.965 RMB bn in 2023. This records a decrease from the previous number of 3.631 RMB bn for 2022. China Commodity Trading Market over 100 M Yuan: Turnover: Retail: Gold, Jeweller, Jade Market data is updated yearly, averaging 4.601 RMB bn from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 7.689 RMB bn in 2019 and a record low of 1.717 RMB bn in 2009. China Commodity Trading Market over 100 M Yuan: Turnover: Retail: Gold, Jeweller, Jade Market data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJA: Commodity Trading Market over 100 Million Yuan: Turnover: Retail.

  8. T

    Silver - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 1, 2001
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    TRADING ECONOMICS (2001). Silver - Price Data [Dataset]. https://tradingeconomics.com/commodity/silver
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Feb 1, 2001
    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 2, 1975 - Aug 20, 2025
    Area covered
    World
    Description

    Silver rose to 37.90 USD/t.oz on August 20, 2025, up 1.35% from the previous day. Over the past month, Silver's price has fallen 2.63%, but it is still 28.02% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Silver - values, historical data, forecasts and news - updated on August of 2025.

  9. E

    Gold prices, July, 2025 - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jul 6, 2025
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    Globalen LLC (2025). Gold prices, July, 2025 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/world/gold_prices/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Jul 6, 2025
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Jan 31, 1960 - Jul 31, 2025
    Description

    Gold prices in , July, 2025 For that commodity indicator, we provide data from January 1960 to July 2025. The average value during that period was 603.55 USD per troy ounce with a minimum of 34.94 USD per troy ounce in January 1970 and a maximum of 3352.66 USD per troy ounce in June 2025. | TheGlobalEconomy.com

  10. P

    Precious Metal Trading Platform Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jul 6, 2025
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    Archive Market Research (2025). Precious Metal Trading Platform Report [Dataset]. https://www.archivemarketresearch.com/reports/precious-metal-trading-platform-565093
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jul 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 precious metal trading platform market is experiencing robust growth, driven by increasing investor interest in gold, silver, platinum, and palladium as safe-haven assets and diversification tools. The market size in 2025 is estimated at $15 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This growth is fueled by several key factors. Technological advancements, including the rise of mobile trading apps and sophisticated charting tools, are making precious metal trading more accessible to a wider range of investors. Furthermore, the increasing volatility in global financial markets is prompting investors to seek refuge in precious metals, bolstering demand for platforms facilitating their trading. Regulatory changes aiming to improve market transparency and investor protection are also indirectly supporting market expansion. However, challenges remain, including potential regulatory hurdles in specific regions and the inherent risks associated with volatile commodity markets. The market is segmented by platform type (web-based, mobile-based), trading style (spot, futures, options), and investor type (retail, institutional). Key players like GAIN Global Markets Inc., AxiTrader Limited, LMAX Global, IG Group, and CMC Markets are vying for market share through innovation, strategic partnerships, and expansion into new geographic markets. Competition is intense, forcing providers to continuously enhance their offerings and improve customer experience to retain a competitive edge. The forecast period of 2025-2033 presents significant opportunities for expansion, particularly in emerging markets with growing retail investor bases. The continued growth of the precious metal trading platform market is projected to be influenced by several ongoing trends. The increasing adoption of artificial intelligence (AI) and machine learning (ML) for algorithmic trading and risk management is expected to further enhance the efficiency and sophistication of trading platforms. The integration of blockchain technology for improved security and transparency is also gaining traction. However, potential restraints include cybersecurity threats, the need for robust compliance frameworks, and the ongoing evolution of investor preferences which necessitate platform adaptation. The expanding availability of educational resources and improved investor awareness about precious metals trading is expected to positively impact market growth. Furthermore, strategic mergers and acquisitions within the industry are likely to reshape the competitive landscape. Geographic expansion into underpenetrated regions, coupled with the development of tailored products to meet the specific needs of diverse investor segments, will be crucial for achieving sustained growth in the coming years.

  11. T

    CRB Commodity Index - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +12more
    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 - Aug 19, 2025
    Area covered
    World
    Description

    CRB Index fell to 363.36 Index Points on August 19, 2025, down 0.65% from the previous day. Over the past month, CRB Index's price has fallen 3.20%, but it is still 11.18% higher than a year ago, 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 August of 2025.

  12. Learn Time Series Forecasting From Gold Price

    • kaggle.com
    Updated Nov 19, 2020
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    Möbius (2020). Learn Time Series Forecasting From Gold Price [Dataset]. https://www.kaggle.com/arashnic/learn-time-series-forecasting-from-gold-price/tasks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 19, 2020
    Dataset provided by
    Kaggle
    Authors
    Möbius
    License

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

    Description

    Context

    Gold, the yellow shiny metal, has been the fancy of mankind since ages. From making jewelry to being used as an investment, gold covers a huge spectrum of use cases. Gold, like other metals, is also traded on the commodities indexes across the world. For better understanding time series in a real-world scenario, we will work with gold prices collected historically and predict its future value.

    Content

    Metals such as gold have been traded for years across the world. Prices of gold are determined and used for trading the metal on commodity exchanges on a daily basis using a variety of factors. Using this daily price-level information only, our task is to predict future price of gold.

    Data

    For the purpose of implementing time series forecasting technique , i will utilize gold pricing from Quandl. Quandl is a platform for financial, economic, and alternative datasets. To access publicly shared datasets on Quandl, we can use the pandas-datareader library as well as quandl (library from Quandl itself). The following snippet shows a quick one-liner to get your hands on gold pricing information since 1970s.

    import quandl gold_df = quandl.get("BUNDESBANK/BBK01_WT5511")

    The time series is univariate with date and time feature

    Starter Kernel(s)

    -Start with Fundamentals: TSA & Box-Jenkins Methods

    This notebook is an overview of TSA and traditional methods

    Acknowledgements

    For this dataset and tasks, i will depend upon Quandl. The premier source for financial, economic, and alternative datasets, serving investment professionals. Quandl’s platform is used by over 400,000 people, including analysts from the world’s top hedge funds, asset managers and investment banks.

    Inspiration

    • Forecast gold price

    *If you find the data useful your upvote is an explicit feedback for future works, Have fun exploring data!*

    #

    MORE DATASETs ...

  13. P

    Precious Metal Trading Platform Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 17, 2025
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    Data Insights Market (2025). Precious Metal Trading Platform Report [Dataset]. https://www.datainsightsmarket.com/reports/precious-metal-trading-platform-1432977
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Jun 17, 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 precious metal trading platform market, valued at $3.863 billion in 2025, is projected to experience robust growth, driven by increasing investor interest in gold, silver, platinum, and palladium as safe haven assets and inflation hedges. The market's Compound Annual Growth Rate (CAGR) of 5.6% from 2019 to 2033 indicates a steady expansion, fueled by technological advancements such as improved online trading platforms, mobile accessibility, and the integration of AI-driven analytical tools. The rise of retail investors and the growing adoption of sophisticated trading strategies further contribute to market expansion. Increased regulatory scrutiny and cybersecurity concerns, however, pose potential restraints to growth. Market segmentation is likely dominated by platform types (e.g., web-based, mobile, desktop), trading styles (e.g., spot, futures), and investor demographics (e.g., retail, institutional). Key players like GAIN Global Markets, AxiTrader, LMAX Global, IG Group, and CMC Markets are vying for market share through competitive pricing, advanced features, and strong customer support. Geographic distribution is expected to be influenced by economic conditions and investor sentiment in major regions like North America, Europe, and Asia-Pacific. The forecast period (2025-2033) will likely see increased competition and consolidation as companies strive to enhance their offerings and cater to the evolving needs of traders. The market's sustained growth relies on several factors. The volatility of traditional financial markets consistently pushes investors toward precious metals. The ongoing development of user-friendly platforms with advanced charting, analytics, and educational resources further broadens the appeal to both experienced and novice traders. Moreover, the expansion of the market into emerging economies presents significant opportunities for growth. However, maintaining trust through robust security measures and complying with evolving regulatory frameworks are critical for long-term success. The presence of established players along with a growing number of smaller, niche platforms suggests a dynamic competitive landscape with continued innovation in technology and service offerings driving market expansion.

  14. C

    China CN: Commodity Trading Market over 100 M Yuan: Operating Area: Gold,...

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). China CN: Commodity Trading Market over 100 M Yuan: Operating Area: Gold, Jeweller, Jade Market [Dataset]. https://www.ceicdata.com/en/china/commodity-trading-market-over-100-million-yuan-operating-area/cn-commodity-trading-market-over-100-m-yuan-operating-area-gold-jeweller-jade-market
    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
    Industrial Sales / Turnover
    Description

    China Commodity Trading Market over 100 M Yuan: Operating Area: Gold, Jeweller, Jade Market data was reported at 1,864.003 sq m th in 2023. This records a decrease from the previous number of 1,911.003 sq m th for 2022. China Commodity Trading Market over 100 M Yuan: Operating Area: Gold, Jeweller, Jade Market data is updated yearly, averaging 1,904.001 sq m th from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 2,556.300 sq m th in 2017 and a record low of 497.300 sq m th in 2008. China Commodity Trading Market over 100 M Yuan: Operating Area: Gold, Jeweller, Jade Market data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJA: Commodity Trading Market over 100 Million Yuan: Operating Area.

  15. Returns on commodities worldwide by type 2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Returns on commodities worldwide by type 2024 [Dataset]. https://www.statista.com/statistics/825543/returns-on-selected-commodities-worldwide/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, the rate of return on gold was 26.62 percent, making gold the leading commodity based on return rate in that year. Natural resources, like any other investment, exhibit a wide range of fluctuations over time.

  16. 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, United Kingdom, Belarus, Moldova (Republic of), Bulgaria, Svalbard and Jan Mayen, Finland, Latvia, Lithuania
    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.
  17. Commodities Metals Pricing Data

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). Commodities Metals Pricing Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/commodities-data/metals-commodities-pricing
    Explore at:
    csv,delimited,gzip,html,json,pcap,pdf,parquet,python,sql,string format,text,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

    Discover all the exchange data, pricing and fundamentals, and research findings you'll need from the commodities metals market with LSEG's data options.

  18. Gold Price | 10 Years | 2013-2023

    • kaggle.com
    Updated Jan 2, 2023
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    Farzad Nekouei (2023). Gold Price | 10 Years | 2013-2023 [Dataset]. https://www.kaggle.com/datasets/farzadnekouei/gold-price-10-years-20132023
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 2, 2023
    Dataset provided by
    Kaggle
    Authors
    Farzad Nekouei
    Description

    This comprehensive dataset offers a decade's worth of insights into gold price trends, spanning from 2013 to 2023. It meticulously captures the daily opening and closing prices, highs and lows, along with trading volume for each day. Such a wealth of information can be instrumental for those seeking to analyze or visualize market dynamics over this ten-year period. All data was sourced from the authoritative platform: Investing.com Gold Historical Data

  19. T

    Copper - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 20, 2025
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    TRADING ECONOMICS (2025). Copper - Price Data [Dataset]. https://tradingeconomics.com/commodity/copper
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Aug 20, 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
    Jul 29, 1988 - Aug 20, 2025
    Area covered
    World
    Description

    Copper rose to 4.43 USD/Lbs on August 20, 2025, up 0.23% from the previous day. Over the past month, Copper's price has fallen 20.89%, but it is still 5.69% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Copper - values, historical data, forecasts and news - updated on August of 2025.

  20. D

    Commodity Index Funds Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 5, 2024
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    Dataintelo (2024). Commodity Index Funds Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/commodity-index-funds-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 5, 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 Index Funds Market Outlook



    The global commodity index funds market size was valued at approximately $200 billion in 2023 and is projected to reach nearly $400 billion by 2032, growing at a robust CAGR of 7.5% during the forecast period. The significant growth in this market can be attributed to the increasing demand for diversification in investment portfolios and the inherent benefits of hedging against inflation that commodity investments provide. Furthermore, the volatility in global stock markets and geopolitical uncertainties have led investors to seek safer, more stable investment avenues, thus driving the growth of commodity index funds.



    One of the primary growth factors propelling the commodity index funds market is the rising awareness among investors about the advantages of commodity investments as a hedge against inflation. Commodities, unlike stocks and bonds, often move inversely to the stock market, providing a cushion during market downturns. This characteristic makes commodity index funds an attractive option for risk-averse investors and those looking to balance their portfolios. Additionally, the globalization of trade and the increasing demand for raw materials in emerging markets have further spurred the demand for commodity investments.



    Technological advancements in trading platforms have also significantly contributed to the growth of this market. The advent of sophisticated online platforms has made it easier for retail investors to access and invest in commodity index funds. These platforms offer a range of tools and resources that help investors make informed decisions, thereby democratizing access to commodity investments. Moreover, the rise of robo-advisors and algorithm-based trading strategies has further simplified the investment process, attracting a new generation of tech-savvy investors.



    The regulatory landscape has also played a crucial role in shaping the commodity index funds market. Governments and financial regulatory bodies across the globe have been working to create a transparent and secure trading environment. Regulatory reforms aimed at reducing market manipulation and increasing transparency have instilled confidence among investors, thereby boosting the market. Additionally, tax incentives and favorable policies for commodity investments in various countries have also contributed to market growth.



    In terms of regional outlook, North America holds a significant share of the global commodity index funds market, followed by Europe and Asia Pacific. The presence of well-established financial markets and a high level of investor awareness in North America are key factors driving the market in this region. Europe, with its strong regulatory framework and increasing adoption of alternative investment strategies, is also witnessing substantial growth. Meanwhile, the Asia Pacific region is emerging as a lucrative market, driven by the rapid economic growth in countries like China and India, and the increasing interest in commodity investments among institutional and retail investors.



    Fund Type Analysis



    When analyzing the market by fund type, Broad Commodity Index Funds dominate the landscape. These funds invest in a diversified portfolio of commodities, making them a popular choice for investors seeking broad exposure to the commodity markets. The broad commodity index funds are designed to track the performance of a basket of commodities, ranging from energy products to metals and agricultural goods. This diversification helps mitigate risks associated with the volatility of individual commodities, thereby providing a more stable investment option for risk-averse investors.



    Single Commodity Index Funds, on the other hand, focus on specific commodities such as gold, oil, or agricultural products. These funds appeal to investors who have a strong conviction about the performance of a particular commodity. For instance, during periods of economic uncertainty, gold-focused funds often see a surge in demand as investors flock to the safe-haven asset. Similarly, energy-focused funds attract investors when there are disruptions in oil supply or significant geopolitical events affecting oil prices. While these funds offer the potential for high returns, they also come with higher risks due to their lack of diversification.



    Sector Commodity Index Funds are another important segment within the commodity index funds market. These funds concentrate on commodities within a specific sector, such as energy, agriculture, or metals, allowing investors to target particular segments of the commo

Share
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Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2025). Gold - Price Data [Dataset]. https://tradingeconomics.com/commodity/gold

Gold - Price Data

Gold - Historical Dataset (1968-01-03/2025-08-20)

Explore at:
excel, csv, json, xmlAvailable download formats
Dataset updated
Aug 20, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Jan 3, 1968 - Aug 20, 2025
Area covered
World
Description

Gold rose to 3,340.84 USD/t.oz on August 20, 2025, up 0.71% from the previous day. Over the past month, Gold's price has fallen 1.71%, but it is still 32.96% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on August of 2025.

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