Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% 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 December of 2025.

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.

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

Explore the dynamics of the gold market, including the factors affecting its price fluctuations and various investment options like ETFs and physical gold. Learn how geopolitical events and economic indicators influence gold as a safe-haven asset.

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

The price of gold per troy ounce increased considerably between 1990 and 2025, despite some fluctuations. A troy ounce is the international common unit of weight used for precious metals and is approximately **** grams. At the end of 2024, a troy ounce of gold cost ******* U.S. dollars. As of * June 2025, it increased considerably to ******** U.S. dollars. Price of – additional information In 2000, the price of gold was at its lowest since 1990, with a troy ounce of gold costing ***** U.S. dollars in that year. Since then, gold prices have been rising and after the economic crisis of 2008, the price of gold rose at higher rates than ever before as the market began to see gold as an increasingly good investment. History has shown, gold is seen as a good investment in times of uncertainty because it can or is thought to function as a good store of value against a declining currency as well as providing protection against inflation. However, unlike other commodities, once gold is mined it does not get used up like other commodities (for example, such as gasoline). So while gold may be a good investment at times, the supply demand argument does not apply to gold. Nonetheless, the demand for gold has been mostly consistent.

This dataset contains daily financial data from 2015 to 2025, including gold prices and related market indicators. It includes the following fields: date – trading date SPX – S&P 500 index value GLD – gold price ISO – international stock index SLV – silver price EUR/USD – USD exchange rate The dataset can be useful for time-series analysis, forecasting, and studying correlations between gold and global markets.

Context

Gold is a highly liquid asset, which is no one’s liability, carries no credit risk, and is scarce, historically preserving its value over time. It also benefits from diverse sources of demand: as an investment, a reserve asset, jewellery, and a technology component. Since 1971, gold’s return has been similar to equities and outperformed bonds. In the last 20 years, gold outperformed most major asset classes and it’s global investment demand increased by an average of 15% per year. Through its dual nature as a consumer good and investment, gold has historically preserved its value. Unlike fiat currencies, gold can’t be printed, only mined — this explains in good part why it has consistently outperformed all major fiat currencies.

Content

1. Date: The date of the trading day.
2. Open: The opening price of the gold share on that day.
3. High: The highest price the gold share reached during the trading day.
4. Low: The lowest price the gold share reached during the trading day.
5. Close: The closing price of the gold share on that day.
6. WAP: Weighted Average Price, which is the average price at which all trades of the stock or asset were executed during the trading day.
   WAP = (Total Cost of Purchases / Total Quantity Purchased)
7. No. of Shares: The total number of shares traded on that day.
8. No. of Trades: The total number of trades executed on that day.
9. Total Turnover: The total value of all trades executed on that day.
10. Deliverable Quantity: The total number of shares that were actually delivered to buyers on that day.
11. % Deli. Qty to Traded Qty: The percentage of the total traded quantity of shares that were actually delivered to buyers on that day.
12. Spread H-L: The difference between the highest and lowest prices of the gold share on that day.
13. Spread C-O: The difference between the closing and opening prices of the gold share on that day.

View monthly updates and historical trends for Gold Price. from United Kingdom. Source: World Bank. Track economic data with YCharts analytics.

View market daily updates and historical trends for Gold Price in US Dollars (DISCONTINUED). from United States. Source: Gold Council. Track economic 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.

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

This dataset contains daily historical data of major financial instruments and indexes from January 1, 2015, to August 15, 2025 . It includes the following columns:

SPX – S&P 500 Index daily closing prices.

GLD – SPDR Gold Shares ETF daily adjusted closing prices.

USO – United States Oil Fund ETF daily adjusted closing prices.

SLV – iShares Silver Trust ETF daily adjusted closing prices.

EUR/USD – Daily Euro to US Dollar exchange rate.

The data was collected from Yahoo Finance using the yfinance Python library. The dataset is intended for research, analysis, and educational purposes.

The average monthly prices for gold increased worldwide between January 2014 and May 2025, although with some fluctuations. In January 2014, the average monthly price for gold worldwide stood at ******** nominal U.S. dollars per troy ounce. Significant jumps in the gold prices were observed, especially in the periods of uncertainty, as the investors tend to see gold as a safe investment option. For instance, the Corona pandemic acted as a shock to the economy, resulting in substantial increases in gold prices in 2020. As of May 2025, gold valued at ******** U.S. dollars per ounce, the highest value reported during this period.

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 Price Outlook: S&P GSCI Gold index Faces Uncertain Future

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

Explore the dynamics of the spot market gold price, a critical real-time pricing mechanism influenced by global supply and demand. Understand how factors like geopolitical events, the U.S. dollar strength, and technological advancements impact gold's value. Learn about the role of the spread in gold trading and how online platforms have democratized access to gold market data.

Data set column

1. Date - mm/dd/yyyy
2. SPX - is a free-float weighted measurement stock market index of the 500 largest companies listed on stock exchanges in the United States.
3. GLD - Gold Price
4. USO - United States Oil Fund
5. SLV - Silver Price
6. EUR/USD - currency pair quotation of the Euro against the US

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 ******.

Dataset of historical annual gold prices from 1970 to 2024, including significant events and acts that impacted gold prices.

Gold Prices - Historical chart and current data through 2025.

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