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 ******.

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

Graph and download economic data for Assets: Other Factors Supplying Reserve Balances: Gold Stock: Change in Week Average from Year Ago Week Average (RESTBMGXAWXCH52NWW) from 2002-12-18 to 2025-08-27 about gold, stocks, supplies, balance, reserves, average, assets, and USA.

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

LBMA Gold Stocks data, recent 9 years (traceable to Jul 31,2016), the unit is oz.t, latest value is 285015, updated at Jul 31,2025

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.

Gold rose to 3,476.40 USD/t.oz on September 1, 2025, up 0.79% from the previous day. Over the past month, Gold's price has risen 3.03%, and is up 39.21% compared to the same time last year, 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 September of 2025.

As of December 2023, Glencore PLC was the leading gold mining stock, dual listed on the London Stock Exchange (LSE) and the Johannesburg Stock Exchange (JSE) by revenue. Glencore PLC led by roughly *** billion U.S. dollars, followed by BHP Group Limited which took second place with revenue of roughly ** billion U.S. dollars.

Graph and download economic data for Monetary Gold Stock for United States (M1476BUSM027NNBR) from Jan 1914 to Dec 1946 about gold and USA.

COMEX Gold Stocks data, recent 24 years (traceable to Jul 18,2002), the unit is oz.t, latest value is 38573764, updated at Aug 21,2025

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

Graph and download economic data for Book Value of U.S. Mint Held Treasury Gold Working Stock: All Locations: Coins, Blanks, Miscellaneous (MHTGWSALV) from Jan 2012 to Jul 2025 about coins, miscellaneous, gold, stocks, accounting, reserves, Treasury, and USA.

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.

As of 31 May 2025, MSCI U.S. had an average **-year return rate of ***** percent, whereas gold had a return rate of ***** percent. Gold mining overview In light of recent technological advancements shaping the gold mining market, global gold production has been rather stable in the last few years, hovering around ***** metric tons since 2020. Among nations, Australia holds the highest gold production, surpassing countries with the highest mine gold reserves. Gold as a financial security Known for its ability to provide diversification to investment portfolios, gold has exhibited a positive trend in its Gold’s return rate was particularly high in the early 2000s, and, despite experiencing a decline during the pandemic, it demonstrated a remarkable recovery since. Furthermore, gold serves as a valuable asset for a nation's economic stability, with the United States holding the highest amount of

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

This paper applies a multivariate GARCH model to analyze the interdependence among gold, stocks and bonds price. Besides, we also examine the relationship between gold and oil price to see if gold could store value during financial crisis term. The empirical results show that gold is a feedback hedge for stocks for the full sample period. Hence, gold is a good diversification instrument for stock investment. About the correlation between gold and oil price, this paper finds that gold possesses store-value function. During the financial crisis period, gold is a safe haven for bonds only when the innovations flow from gold to bond market. On the relationship between oil price and gold, it is found that gold is no longer a fine product to resist inflation. Although the direction and duration are not identical, the impulse responses among gold, stock and bond markets are short-lived. Briefly, there exists some kind of relatedness between gold and stocks and gold and bonds. Generally, gold is a suitable tool to hedge against the stock market; whilst during financial crisis span, gold is not a safe haven for stocks.

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

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

COMEX Brinks Gold Stocks data, recent 23 years (traceable to Aug 21,2002), the unit is oz.t, latest value is 11331650, updated at Jul 30,2025

Dataset

This dataset was created by Ragul V L

Released under MIT

Contents