Gold fell to 3,331.18 USD/t.oz on June 24, 2025, down 1.11% from the previous day. Over the past month, Gold's price has fallen 0.46%, but it is still 43.58% 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 June of 2025.

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

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.

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.

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.

SPDR Gold Shares net worth as of June 22, 2025 is $101.72B. Interactive chart of historical net worth (market cap) for SPDR Gold Shares (GLD) over the last 10 years. How much a company is worth is typically represented by its market capitalization, or the current stock price multiplied by the number of shares outstanding.

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?

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 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

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

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.

Historical price and volatility data for US Dollar in SPDR Gold Shares Defichain across different time periods.

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.

📈 Daily Historical Stock Price Data for Greatland Gold plc (2006–2025)

A clean, ready-to-use dataset containing daily stock prices for Greatland Gold plc from 2006-07-03 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Greatland Gold plc Ticker Symbol: GGP.L Date Range: 2006-07-03 to 2025-05-28 Frequency: Daily Total Records: 4776 rows (one per trading day)… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-greatland-gold-plc-20062025.

📈 Daily Historical Stock Price Data for Alamos Gold Inc. (2003–2025)

A clean, ready-to-use dataset containing daily stock prices for Alamos Gold Inc. from 2003-05-02 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Alamos Gold Inc. Ticker Symbol: AGI Date Range: 2003-05-02 to 2025-05-28 Frequency: Daily Total Records: 5554 rows (one per trading day)… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-alamos-gold-inc-20032025.

📈 Daily Historical Stock Price Data for Austin Gold Corp. (2022–2025)

A clean, ready-to-use dataset containing daily stock prices for Austin Gold Corp. from 2022-05-04 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Austin Gold Corp. Ticker Symbol: AUST Date Range: 2022-05-04 to 2025-05-28 Frequency: Daily Total Records: 769 rows (one per trading day)… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-austin-gold-corp-20222025.

Historical price and volatility data for SPDR Gold Shares Defichain in Euro across different time periods.

📈 Daily Historical Stock Price Data for Allied Gold Corporation (2023–2025)

A clean, ready-to-use dataset containing daily stock prices for Allied Gold Corporation from 2023-09-11 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Allied Gold Corporation Ticker Symbol: AAUC.TO Date Range: 2023-09-11 to 2025-05-28 Frequency: Daily Total Records: 431 rows (one per… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-allied-gold-corporation-20232025.

Historical price and volatility data for SPDR Gold Shares Defichain in Euro across different time periods.