31 datasets found
  1. M

    Gold Prices - 100 Year Historical Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Gold Prices - 100 Year Historical Chart [Dataset]. https://www.macrotrends.net/1333/historical-gold-prices-100-year-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart of historical data for real (inflation-adjusted) gold prices per ounce back to 1915. The series is deflated using the headline Consumer Price Index (CPI) with the most recent month as the base. The current month is updated on an hourly basis with today's latest value.

  2. d

    Gold Prices

    • datahub.io
    Updated Aug 21, 2017
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    (2017). Gold Prices [Dataset]. https://datahub.io/core/gold-prices
    Explore at:
    Dataset updated
    Aug 21, 2017
    Description

    Monthly gold prices in USD since 1833 (sourced from the World Gold Council). The data is derived from historical records compiled by Timothy Green and supplemented by data provided by the World Bank...

  3. 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/activity
    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 ...

  4. Change in gold price from 1900 to 2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 31, 2025
    + more versions
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    Statista (2025). Change in gold price from 1900 to 2024 [Dataset]. https://www.statista.com/statistics/268027/change-in-gold-price-since-1990/
    Explore at:
    Dataset updated
    Mar 31, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2024, one troy ounce of gold had an annual average price of 2,388.98 U.S. dollars. Gold pricing determinants Gold is a metal that is considered malleable, ductile, and is known for its bright lustrous yellow color. This transition metal is highly valued as a precious metal for its use in coins, jewelry, and in investments. Gold was also once used as a standard for monetary policies between different countries. The price of gold is determined by daily fixings where participants agree to buy or sell at a set price or to maintain the price through supply and demand control. For gold, companies like Barclays Capital, Scotia-Mocatta, Sociétè Générale, HSBC, and Deutsche Bank are members in gold fixing at the London Bullion Market Association.

  5. VIETNAMESE GOLD PRICE

    • kaggle.com
    Updated Dec 11, 2022
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    Nam Đại (2022). VIETNAMESE GOLD PRICE [Dataset]. https://www.kaggle.com/datasets/namitra/vietnamese-gold-price-2017-2021/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 11, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Nam Đại
    Description

    Vietnam gold price is daily data, collected from 01/01/2017 to 31/12/2021. However, the macro variables are monthly data. The monthly Vietnam gold price data are averaged of the days of the month and compiled from Sai Gon Joint Stock Commercial Bank (SCB). Deposit interest rate data are taken from the website of the International Monetary Fund (IMF). World gold price is taken from the average monthly price, data is taken from World Gold Council. The average interbank exchange rate between Vietnam Dong and US Dollar (USD/VND) data are averaged over the days of the month. Data of Vietnamese consumer price index by month is obtained from the website of the central bank of Vietnam and the General Statistics Office of Vietnam. Dummy variables have a value of 1 when it coincides with the epidemic wave and 0 when it is not.

  6. Gold and Silver Prices Dataset

    • kaggle.com
    Updated Apr 8, 2021
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    Luis Bronchal (2021). Gold and Silver Prices Dataset [Dataset]. https://www.kaggle.com/lbronchal/gold-and-silver-prices-dataset/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 8, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Luis Bronchal
    License

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

    Description

    Content

    Historical daily prices of gold and silver since 1962 to now. Price per ounce in USD.

    Acknowledgements

    Data obtained from LBMA

    Inspiration

    You try different things on this dataset:

    • predict the future price of gold and silver
    • study the correlation between gold and silver
    • combine with other datasets such as stocks and crypto currencies datasets to get insightsLBMA
  7. w

    Gold Prices in London 1950-2008 (Monthly)

    • data.wu.ac.at
    csv +2
    Updated Jan 25, 2014
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    Core Datasets (2014). Gold Prices in London 1950-2008 (Monthly) [Dataset]. https://data.wu.ac.at/odso/datahub_io/YTFmZjNhYmEtMWQ3MC00ODRjLWFjZjktZWI2ODNjYWRhMTgx
    Explore at:
    json / csv / html / rss(8025.0), csv(206636.0), txt(14502.0)Available download formats
    Dataset updated
    Jan 25, 2014
    Dataset provided by
    Core Datasets
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Monthly gold prices (USD) in London from Bundesbank.

    General: 1 ounce of fine gold = 31.1034768g. Method of calculation:

    • Since 1 April 1968, calculated from the daily morning fixing;
    • From January 1950 to 21 March 1954, calculated using the Bank of England's gold purchasing price (1 ounce of fine = pound 12.40) in connection with the average exchange rate for the pound in New York (up to the end of 1952; source: Federal Reserve Bulletin) and, from January 1953, midpoint exchange rates for the US dollar in London (source: Financial Times (FT)).
    • From 22 March 1954 to December 1959, calculated using the fixing price for gold bars of approx. 12 1/2 kg and 995/1000 fineness and over (so-called standard bars) according to data from Metallgesellschaft AG, Frankfurt am Main, in connection with the average midpoint exchange rates for the US dollar in London (source: FT).
    • From January 1960 to 14 March 1968, average fixing price for standard bars as specified in the Bank of England's Quarterly Bulletin.
    • On 15 March 1968, fixing price suspended. Gold market split into an official (reserved for central banks) and a free market as a result of the Washington Communique of 17 March 1968. Gold trading suspended from 18 to 29 March 1968.
    • Sources for daily prices: April 1968 - March 1974: FT; April 1974 - December 1980: Samuel Montagu & Co. Ltd.; January 1981 - December 2005: FT; January 2006 - present: Reuters.
    • Comment on 1968-03: Average from 1 to 14 March 1968.

    License: PDDL (Source indicates no restrictions on data).

  8. f

    Shanghai gold price data table.

    • figshare.com
    xls
    Updated May 5, 2025
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    Yishuai Yang (2025). Shanghai gold price data table. [Dataset]. http://doi.org/10.1371/journal.pone.0319776.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Yishuai Yang
    License

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

    Area covered
    Shanghai
    Description

    Accurate prediction of gold prices is crucial for investment decision-making and national risk management. The time series data of gold prices exhibits random fluctuations, non-linear characteristics, and high volatility, making prediction extremely challenging. Various methods, from classical statistics to machine learning techniques like Random Forests, Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), have achieved high accuracy, but they also have inherent limitations. To address these issues, a model that combines Temporal Convolutional Networks (TCN) with Query (Q) and Keys (K) attention mechanisms (TCN-QV) is proposed to enhance the accuracy of gold price predictions. The model begins by employing stacked dilated causal convolution layers within the TCN framework to effectively extract temporal features from the sequence data. Subsequently, an attention mechanism is introduced to enable adaptive weight distribution according to the information features. Finally, the predicted results are generated through a dense layer. This method is used to predict the time series data of gold prices in Shanghai. The optimized model demonstrates a substantial improvement in Mean Absolute Error (MAE) compared to the baseline model, achieving reductions of approximately 5.47% in the least favorable case and up to 33.69% in the most favorable scenario across four experimental datasets. Additionally, the model is tested across different time steps and shows satisfactory performance in long sequence predictions. To validate the necessity of the model components, this paper conducts ablation experiments to confirm the significance of each segment.

  9. Commodity Prices

    • data.wu.ac.at
    • data.smartidf.services
    • +1more
    csv, json, xls
    Updated Feb 3, 2017
    + more versions
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    Open Knowledge Foundation (2017). Commodity Prices [Dataset]. https://data.wu.ac.at/schema/public_opendatasoft_com/Y29tbW9kaXR5LXByaWNlcw==
    Explore at:
    xls, csv, jsonAvailable download formats
    Dataset updated
    Feb 3, 2017
    Dataset provided by
    Open Knowledge Foundationhttp://okfn.org/
    License

    http://www.imf.org/external/terms.htmhttp://www.imf.org/external/terms.htm

    Description

    Time series of major commodity prices and indices including iron, cooper, wheat, gold, oil. Data comes from the International Monetary Fund (IMF).

    All rights are reserved

    Data

    Dataset contains Monthly prices for 53 commodities and 10 indexes, starting from 1980 to 2016, Last updated on march 17, 2016. The reference year for indexes are 2005 (meaning the value of indexes are 100 and all other values are relative to that year).

    License

    The IMF grants permission to visit its Sites and to download and copy information, documents, and materials from the Sites for personal, noncommercial usage only, without any right to resell or redistribute or to compile or create derivative works, subject to these Terms and Conditions of Usage and also subject to more specific restrictions that may apply to particular information within the Sites. Any rights not expressly granted herein are reserved.

    For more information please visit: Copyright and Usage.

  10. Vietnam Gold Price Index: 1995=100

    • ceicdata.com
    Updated Aug 10, 2020
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    CEICdata.com (2020). Vietnam Gold Price Index: 1995=100 [Dataset]. https://www.ceicdata.com/en/vietnam/gold-price-index/gold-price-index-1995100
    Explore at:
    Dataset updated
    Aug 10, 2020
    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
    Jul 1, 2000 - Jun 1, 2001
    Area covered
    Vietnam
    Variables measured
    Producer Prices
    Description

    Vietnam Gold Price Index: 1995=100 data was reported at 92.700 1995=100 in Jun 2001. This records an increase from the previous number of 91.900 1995=100 for May 2001. Vietnam Gold Price Index: 1995=100 data is updated monthly, averaging 94.350 1995=100 from Jan 1998 (Median) to Jun 2001, with 42 observations. The data reached an all-time high of 96.100 1995=100 in Mar 2000 and a record low of 86.800 1995=100 in Sep 1999. Vietnam Gold Price Index: 1995=100 data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.T029:Table VN.I029: Gold Price Index. Rebased from 1995p to 2000p. Replacement Series ID: 44230601.

  11. Vietnam Gold Price Index: 2005=100: HCMC

    • ceicdata.com
    Updated Jul 15, 2018
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    CEICdata.com (2018). Vietnam Gold Price Index: 2005=100: HCMC [Dataset]. https://www.ceicdata.com/en/vietnam/gold-price-index/gold-price-index-2005100-hcmc
    Explore at:
    Dataset updated
    Jul 15, 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
    Nov 1, 2008 - Oct 1, 2009
    Area covered
    Vietnam
    Variables measured
    Producer Prices
    Description

    Vietnam Gold Price Index: 2005=100: HCMC data was reported at 267.770 2005=100 in Oct 2009. This records an increase from the previous number of 254.950 2005=100 for Sep 2009. Vietnam Gold Price Index: 2005=100: HCMC data is updated monthly, averaging 197.810 2005=100 from May 2006 (Median) to Oct 2009, with 41 observations. The data reached an all-time high of 267.770 2005=100 in Oct 2009 and a record low of 139.380 2005=100 in Oct 2006. Vietnam Gold Price Index: 2005=100: HCMC data remains active status in CEIC and is reported by Ho Chi Minh City Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.T029:Table VN.I029: Gold Price Index. Rebased from 2005=100 to 2009=100. Replacement series ID: 261395401

  12. Vietnam Gold Price Index: 2005=100

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Vietnam Gold Price Index: 2005=100 [Dataset]. https://www.ceicdata.com/en/vietnam/gold-price-index/gold-price-index-2005100
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Aug 1, 2012 - Aug 1, 2013
    Area covered
    Vietnam
    Variables measured
    Producer Prices
    Description

    Vietnam Gold Price Index: 2005=100 data was reported at 417.040 2005=100 in Aug 2013. This records an increase from the previous number of 415.710 2005=100 for Jul 2013. Vietnam Gold Price Index: 2005=100 data is updated monthly, averaging 306.700 2005=100 from May 2006 (Median) to Aug 2013, with 87 observations. The data reached an all-time high of 547.110 2005=100 in Sep 2011 and a record low of 137.400 2005=100 in Oct 2006. Vietnam Gold Price Index: 2005=100 data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.T029:Table VN.I029: Gold Price Index. Rebased from 2005=100 to 2009=100. Replacement series ID: 228445202

  13. f

    Model performance metrics.

    • plos.figshare.com
    xls
    Updated May 5, 2025
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    Yishuai Yang (2025). Model performance metrics. [Dataset]. http://doi.org/10.1371/journal.pone.0319776.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Yishuai Yang
    License

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

    Description

    Accurate prediction of gold prices is crucial for investment decision-making and national risk management. The time series data of gold prices exhibits random fluctuations, non-linear characteristics, and high volatility, making prediction extremely challenging. Various methods, from classical statistics to machine learning techniques like Random Forests, Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), have achieved high accuracy, but they also have inherent limitations. To address these issues, a model that combines Temporal Convolutional Networks (TCN) with Query (Q) and Keys (K) attention mechanisms (TCN-QV) is proposed to enhance the accuracy of gold price predictions. The model begins by employing stacked dilated causal convolution layers within the TCN framework to effectively extract temporal features from the sequence data. Subsequently, an attention mechanism is introduced to enable adaptive weight distribution according to the information features. Finally, the predicted results are generated through a dense layer. This method is used to predict the time series data of gold prices in Shanghai. The optimized model demonstrates a substantial improvement in Mean Absolute Error (MAE) compared to the baseline model, achieving reductions of approximately 5.47% in the least favorable case and up to 33.69% in the most favorable scenario across four experimental datasets. Additionally, the model is tested across different time steps and shows satisfactory performance in long sequence predictions. To validate the necessity of the model components, this paper conducts ablation experiments to confirm the significance of each segment.

  14. f

    Experimental results of different time steps in Au(T+D).

    • figshare.com
    xls
    Updated May 5, 2025
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    Yishuai Yang (2025). Experimental results of different time steps in Au(T+D). [Dataset]. http://doi.org/10.1371/journal.pone.0319776.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Yishuai Yang
    License

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

    Description

    Experimental results of different time steps in Au(T+D).

  15. M

    Platinum Prices - 40 Years of Historical Daily Data

    • macrotrends.net
    csv
    Updated May 27, 2025
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    MACROTRENDS (2025). Platinum Prices - 40 Years of Historical Daily Data [Dataset]. https://www.macrotrends.net/2540/platinum-prices-historical-chart-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    World
    Description

    Long term dataset of daily platinum prices back to 1985. The price shown is in U.S. Dollars per troy ounce.

  16. Vietnam Gold Price Index: YoY: HCMC: 2009=100

    • ceicdata.com
    Updated Jul 15, 2018
    + more versions
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    CEICdata.com (2018). Vietnam Gold Price Index: YoY: HCMC: 2009=100 [Dataset]. https://www.ceicdata.com/en/vietnam/gold-price-index-mom--yoy-growth/gold-price-index-yoy-hcmc-2009100
    Explore at:
    Dataset updated
    Jul 15, 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
    Jan 1, 2015 - Dec 1, 2015
    Area covered
    Vietnam
    Variables measured
    Producer Prices
    Description

    Vietnam Gold Price Index: YoY: HCMC: 2009=100 data was reported at -5.840 % in Dec 2015. This records a decrease from the previous number of -4.900 % for Nov 2015. Vietnam Gold Price Index: YoY: HCMC: 2009=100 data is updated monthly, averaging 2.940 % from Nov 2009 (Median) to Dec 2015, with 74 observations. The data reached an all-time high of 66.450 % in Dec 2009 and a record low of -24.220 % in Dec 2013. Vietnam Gold Price Index: YoY: HCMC: 2009=100 data remains active status in CEIC and is reported by Ho Chi Minh City Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I030: Gold Price Index: MoM & YoY Growth. Rebased from 2009p to 2014p. Replacement Series ID: 375313327.

  17. M

    Copper Prices - 54 Years of Historical Data

    • macrotrends.net
    csv
    Updated May 27, 2025
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    MACROTRENDS (2025). Copper Prices - 54 Years of Historical Data [Dataset]. https://www.macrotrends.net/1476/copper-prices-historical-chart-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    World
    Description

    Long term historical dataset of daily COMEX copper prices back to 1971. The price shown is in U.S. Dollars per pound.

  18. HistoricalGoldStock-GLD (EFT)

    • kaggle.com
    Updated Dec 22, 2018
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    kalpana dontha (2018). HistoricalGoldStock-GLD (EFT) [Dataset]. https://www.kaggle.com/kalpanadontha/historicalgoldstockrandgoldresources/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 22, 2018
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    kalpana dontha
    Description

    Context

    SPDR Gold Shares (GLD) This fund buys gold bullion. The only time it sells gold is to pay expenses and honor redemptions​. Because of the ownership of bullion, this fund is extremely sensitive to the price of gold and will follow gold price trends closely.

    One upside to owning gold bars is that no one can loan or borrow them. Another upside is that each share of this fund represents more gold than shares in other funds that do not buy physical gold. However, the downside is taxes. The Internal Revenue Service (IRS) considers gold a collectible, and taxes on long-term gains are high. (For more, see: The Most Affordable Way to Buy Gold: Physical Gold or ETFs?)

    Content

    Fund overview: CategoryCommodities Precious Metals Fund familySPDR State Street Global Advisors

    Acknowledgements

    Yahoo Finance

    Inspiration

    Dataset will be helpful for people who are looking to start playing the Time Series Analysis. What always got my attention was, when Dollar goes down DowJones and Nasdaq goes up and vice-versa. Can this dataset be used for creating a Causal Model?

  19. Vietnam Gold Price Index: MoM: 2009=100

    • ceicdata.com
    Updated Aug 17, 2018
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    CEICdata.com (2018). Vietnam Gold Price Index: MoM: 2009=100 [Dataset]. https://www.ceicdata.com/en/vietnam/gold-price-index-mom--yoy-growth
    Explore at:
    Dataset updated
    Aug 17, 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
    Jan 1, 2015 - Dec 1, 2015
    Area covered
    Vietnam
    Variables measured
    Producer Prices
    Description

    Gold Price Index: MoM: 2009=100 data was reported at -2.800 % in Dec 2015. This records a decrease from the previous number of -0.612 % for Nov 2015. Gold Price Index: MoM: 2009=100 data is updated monthly, averaging -0.320 % from Nov 2009 (Median) to Dec 2015, with 74 observations. The data reached an all-time high of 13.140 % in Sep 2011 and a record low of -6.280 % in Jul 2013. Gold Price Index: MoM: 2009=100 data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.T030:Table VN.I030: Gold Price Index: MoM & YoY Growth. Rebased from 2009p to 2014p. Replacement Series ID: 373679557.

  20. T

    Lithium - Price Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 27, 2023
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    TRADING ECONOMICS (2023). Lithium - Price Data [Dataset]. https://tradingeconomics.com/commodity/lithium
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Oct 27, 2023
    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 10, 2017 - Jun 6, 2025
    Area covered
    World
    Description

    Lithium traded flat at 60,200 CNY/T on June 6, 2025. Over the past month, Lithium's price has fallen 9.68%, and is down 40.69% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lithium - values, historical data, forecasts and news - updated on June of 2025.

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MACROTRENDS (2025). Gold Prices - 100 Year Historical Chart [Dataset]. https://www.macrotrends.net/1333/historical-gold-prices-100-year-chart

Gold Prices - 100 Year Historical Chart

Gold Prices - 100 Year Historical Chart

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70 scholarly articles cite this dataset (View in Google Scholar)
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Dataset updated
Jun 30, 2025
Dataset authored and provided by
MACROTRENDS
License

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

Time period covered
1915 - 2025
Area covered
United States
Description

Interactive chart of historical data for real (inflation-adjusted) gold prices per ounce back to 1915. The series is deflated using the headline Consumer Price Index (CPI) with the most recent month as the base. The current month is updated on an hourly basis with today's latest value.

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