100+ datasets found
  1. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 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
    Jun 15, 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 - Jul 21, 2025
    Area covered
    World
    Description

    Gold rose to 3,352.48 USD/t.oz on July 21, 2025, up 0.04% from the previous day. Over the past month, Gold's price has fallen 0.48%, but it is still 39.94% 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 July of 2025.

  2. T

    Gold Fields | GFI - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). Gold Fields | GFI - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/gfi:sj
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 29, 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 1, 2000 - Jul 22, 2025
    Area covered
    South Africa
    Description

    Gold Fields stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  3. Share price development of the five biggest gold miners worldwide 2018-2025

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). Share price development of the five biggest gold miners worldwide 2018-2025 [Dataset]. https://www.statista.com/statistics/1239159/leading-gold-miners-share-price-development/
    Explore at:
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jun 2025
    Area covered
    Worldwide
    Description

    Among the five largest gold mining companies, Goldfields — headquartered in Johannesburg, South Africa-saw the largest growth in its share price recently. As of June 2025, the company had reached ****** index points. While all the top five mining companies experienced significant increase in their share prices over this period despite some fluctuations, Barrick Mining Corporation had the least increase when compared to others, with an index point of ******.

  4. M

    Barrick Gold - 40 Year Stock Price History | GOLD

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Barrick Gold - 40 Year Stock Price History | GOLD [Dataset]. https://www.macrotrends.net/stocks/charts/GOLD/barrick-gold/stock-price-history
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 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
    2010 - 2025
    Area covered
    United States
    Description

    The latest closing stock price for Barrick Gold as of May 23, 2025 is 19.07. An investor who bought $1,000 worth of Barrick Gold stock at the IPO in 1985 would have $45,592 today, roughly 46 times their original investment - a 10.08% compound annual growth rate over 40 years. The all-time high Barrick Gold stock closing price was 43.23 on April 21, 2011. The Barrick Gold 52-week high stock price is 21.35, which is 12% above the current share price. The Barrick Gold 52-week low stock price is 15.11, which is 20.8% below the current share price. The average Barrick Gold stock price for the last 52 weeks is 18.24. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  5. SPDR Gold Trust ETF monthly share price 2018-2024

    • statista.com
    Updated Jul 24, 2024
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    Statista (2024). SPDR Gold Trust ETF monthly share price 2018-2024 [Dataset]. https://www.statista.com/statistics/1238893/spdr-gold-shares-etf-share-price/
    Explore at:
    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jun 2024
    Area covered
    Worldwide, United States
    Description

    Between January 2018 and June 2024, the price of shares in the SPDR Gold Shares ETF (also known as the SPDR Gold Trust) increased, reaching over 215 dollars per share. The SPDR Gold Shares ETF is one of the largest precious metal ETF by assets under management and one of the ten largest holders of gold in the world - meaning that each share is effectively ownership of a share of gold bullion. Shares are bought and sold on the New York Stock Exchange, while much of the ETF's gold is held in London.

  6. Gold: A Brighter Future Ahead? (Forecast)

    • kappasignal.com
    Updated May 15, 2024
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    KappaSignal (2024). Gold: A Brighter Future Ahead? (Forecast) [Dataset]. https://www.kappasignal.com/2024/05/gold-brighter-future-ahead.html
    Explore at:
    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Gold: A Brighter Future Ahead?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  7. Investing in Gold Stock Market

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Investing in Gold Stock Market [Dataset]. https://www.indexbox.io/search/investing-in-gold-stock-market/
    Explore at:
    pdf, doc, xlsx, docx, xlsAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jul 21, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Explore the potential of investing in the gold stock market for portfolio diversification, inflation hedging, and growth opportunities. Understand the risks and benefits of large-cap miners vs. junior exploration firms, and learn how to navigate geopolitical and regulatory factors, gold price fluctuations, and investment strategies like gold ETFs.

  8. T

    Barrick Gold | ABX - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 2, 2015
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    TRADING ECONOMICS (2015). Barrick Gold | ABX - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/abx:cn
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Nov 2, 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
    Jan 1, 2000 - Jul 20, 2025
    Area covered
    Canada
    Description

    Barrick Gold stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  9. IAU:TSX i-80 Gold Corp. (Forecast)

    • kappasignal.com
    Updated Feb 6, 2023
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    KappaSignal (2023). IAU:TSX i-80 Gold Corp. (Forecast) [Dataset]. https://www.kappasignal.com/2023/02/iautsx-i-80-gold-corp.html
    Explore at:
    Dataset updated
    Feb 6, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    IAU:TSX i-80 Gold Corp.

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  10. k

    S&P GSCI Gold Index Forecast Data

    • kappasignal.com
    csv, json
    Updated May 15, 2024
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    AC Investment Research (2024). S&P GSCI Gold Index Forecast Data [Dataset]. https://www.kappasignal.com/2024/05/gold-brighter-future-ahead.html
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    AC Investment Research
    License

    https://www.ademcetinkaya.com/p/legal-disclaimer.htmlhttps://www.ademcetinkaya.com/p/legal-disclaimer.html

    Description

    Predictions: S&P GSCI Gold index is expected to continue its upward trend in the near term, driven by safe-haven demand amid ongoing geopolitical uncertainties and concerns about global economic growth. The index may face some resistance at higher levels, but it is likely to break through and reach new highs. Risks: The main risks to the S&P GSCI Gold index's upward trend include a significant improvement in the global economic outlook, a sharp decline in geopolitical tensions, and a shift in investor sentiment towards riskier assets. A prolonged period of high inflation could also pose a risk to the index, as investors may seek alternative safe-haven assets such as bonds.

  11. Machine Learning Models for Gold Price Prediction (Forecast)

    • kappasignal.com
    Updated Dec 19, 2023
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    KappaSignal (2023). Machine Learning Models for Gold Price Prediction (Forecast) [Dataset]. https://www.kappasignal.com/2023/12/machine-learning-models-for-gold-price.html
    Explore at:
    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Machine Learning Models for Gold Price Prediction

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  12. Monthly prices for gold worldwide 2011-2025

    • statista.com
    Updated Jan 15, 2020
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    Statista (2020). Monthly prices for gold worldwide 2011-2025 [Dataset]. https://www.statista.com/statistics/274029/price-for-an-ounce-of-fine-gold-in-london-morning-fixing/
    Explore at:
    Dataset updated
    Jan 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2011 - May 2025
    Area covered
    United Kingdom (Great Britain)
    Description

    As of May 2025, the London (morning fixing) price of an ounce of gold cost an average of ******** U.S. dollars, a slight increase compared to the average monthly morning fixing price of ******** U.S. dollars per ounce in the previous month.

    London fixing gold price In January 2020, the average price for an ounce of fine gold was ******** U.S. dollars. It increased to ******** U.S. dollars as of April 2022. Although the monthly price for fine gold fluctuates, the average annual price of fine gold is gradually increasing. In 2001, the price for one ounce of gold was *** U.S. dollars, and by 2012 the price had risen to some ***** U.S. dollars. By 2024, the annual average gold price was nearly ***** dollars per ounce. In that year, global gold demand reached ******* metric tons worldwide. Price determinants of fine gold Fine gold is considered to be almost pure gold, where the value of the metal depends on the percentage of fineness. Twenty-four-carat gold is considered fine gold (from 99.9 percent gold by mass and higher). The London Gold Fix acts as a benchmark for the price of gold. The price of gold is set by the members of the London Gold Market Fixing Ltd undertaken by Barclays and its other members. The price is determined twice per business day at 10:30 am and 3:00 pm based on the London bullion market to settle contracts within the bullion market. The price is based on the equilibrium point between supply and demand agreed upon by participating banks. Gold prices must remain flexible, and gold fixing provides an instantaneous price at specified times.

  13. T

    Alamos Gold | AGI - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). Alamos Gold | AGI - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/agi:cn
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    May 28, 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 1, 2000 - Jul 21, 2025
    Area covered
    Canada
    Description

    Alamos Gold stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  14. gold price dataset

    • kaggle.com
    Updated Mar 12, 2019
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    Lakshmipathi N (2019). gold price dataset [Dataset]. https://www.kaggle.com/lakshmi25npathi/gold-price/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 12, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Lakshmipathi N
    Description

    gold price dataset for a stock market analysis. Reference from Quandl https://www.quandl.com/

  15. Philadelphia Gold and Silver Index: The Future of Precious Metals?...

    • kappasignal.com
    Updated Sep 29, 2024
    + more versions
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    KappaSignal (2024). Philadelphia Gold and Silver Index: The Future of Precious Metals? (Forecast) [Dataset]. https://www.kappasignal.com/2024/09/philadelphia-gold-and-silver-index_29.html
    Explore at:
    Dataset updated
    Sep 29, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Philadelphia Gold and Silver Index: The Future of Precious Metals?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  16. T

    Eldorado Gold | ELD - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 14, 2019
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    TRADING ECONOMICS (2019). Eldorado Gold | ELD - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/eld:cn
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Aug 14, 2019
    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 1, 2000 - Jul 22, 2025
    Area covered
    Canada
    Description

    Eldorado Gold stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  17. HistoricalGoldStock-GLD (EFT)

    • kaggle.com
    zip
    Updated Dec 17, 2018
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    kalpana dontha (2018). HistoricalGoldStock-GLD (EFT) [Dataset]. https://www.kaggle.com/kalpanadontha/historicalgoldstockrandgoldresources
    Explore at:
    zip(49076 bytes)Available download formats
    Dataset updated
    Dec 17, 2018
    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?

  18. Gold Rush: Price of Gold Set to Hit $2,100 by Year-End (Forecast)

    • kappasignal.com
    Updated Jun 8, 2023
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    KappaSignal (2023). Gold Rush: Price of Gold Set to Hit $2,100 by Year-End (Forecast) [Dataset]. https://www.kappasignal.com/2023/06/gold-rush-price-of-gold-set-to-hit-2100.html
    Explore at:
    Dataset updated
    Jun 8, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Gold Rush: Price of Gold Set to Hit $2,100 by Year-End

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  19. T

    China Gold Intl Res | CGG - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 3, 2017
    + more versions
    Share
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    TRADING ECONOMICS (2017). China Gold Intl Res | CGG - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/cgg:cn
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jun 3, 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 1, 2000 - Jul 21, 2025
    Area covered
    Canada
    Description

    China Gold Intl Res stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  20. How does stagflation affect gold prices? (Forecast)

    • kappasignal.com
    Updated Dec 21, 2023
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    KappaSignal (2023). How does stagflation affect gold prices? (Forecast) [Dataset]. https://www.kappasignal.com/2023/12/how-does-stagflation-affect-gold-prices.html
    Explore at:
    Dataset updated
    Dec 21, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    How does stagflation affect gold prices?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

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

Gold - Price Data

Gold - Historical Dataset (1968-01-03/2025-07-21)

Explore at:
excel, csv, json, xmlAvailable download formats
Dataset updated
Jun 15, 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 - Jul 21, 2025
Area covered
World
Description

Gold rose to 3,352.48 USD/t.oz on July 21, 2025, up 0.04% from the previous day. Over the past month, Gold's price has fallen 0.48%, but it is still 39.94% 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 July of 2025.

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