Gold rose to 3,325.31 USD/t.oz on July 29, 2025, up 0.32% from the previous day. Over the past month, Gold's price has risen 0.67%, and is up 37.99% 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 July 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.

Gold prices in , June, 2025 For that commodity indicator, we provide data from January 1960 to June 2025. The average value during that period was 600.07 USD per troy ounce with a minimum of 34.94 USD per troy ounce in January 1970 and a maximum of 3352.66 USD per troy ounce in June 2025. | TheGlobalEconomy.com

This statistic depicts the average annual prices for gold from 2014 to 2024 with a forecast until 2026. In 2024, the average price for gold stood at 2,388 U.S. dollars per troy ounce, the highest value recorded throughout the period considered. In 2026, the average gold price is expected to increase, reaching 3,200 U.S. dollars per troy ounce.

Gold prices rebound, ending a three-day decline, as global economic concerns grow. The precious metal surpasses $3,000 an ounce amid trade war tensions.

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...

Dataset historical price data for XAU/USD (gold vs USD) from 2004 to Feb 2025, captured across multiple timeframes including 5-minute, 15-minute, 30-minute, 1-hour, 4-hour, daily, weekly, and monthly intervals. Dataset includes Open, High, Low, Close prices, and Volume data.

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

Turkey Gold Market: IGE: TRY: Last Trade Day: Weighted Avg Price data was reported at 203,170.000 TRY/kg in Nov 2018. This records a decrease from the previous number of 215,495.450 TRY/kg for Oct 2018. Turkey Gold Market: IGE: TRY: Last Trade Day: Weighted Avg Price data is updated monthly, averaging 18,645.000 TRY/kg from Jul 1995 (Median) to Nov 2018, with 281 observations. The data reached an all-time high of 253,798.980 TRY/kg in Aug 2018 and a record low of 0.000 TRY/kg in Aug 2013. Turkey Gold Market: IGE: TRY: Last Trade Day: Weighted Avg Price data remains active status in CEIC and is reported by Borsa Istanbul . The data is categorized under Global Database’s Turkey – Table TR.Z020: Istanbul Gold Exchange: Gold Market.

Gold prices have surged past $3,300, driven by US-China trade tensions, central bank purchases, and anticipated interest rate cuts, setting new records in the market.

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.

Gold prices soared over 3% amid escalating US-China trade tensions, driven by new tariffs and market volatility. The precious metal continues to be a top-performing investment, bolstered by strong safe-haven demand and central bank buying.

Gold prices declined amid easing trade tensions, with bullion dropping by 1.9% and losing weekly gains.

Gold Bullion Market Outlook 2032

The global gold bullion market size was USD 50 Billion in 2023 and is likely to reach USD 133 Billion by 2032, expanding at a CAGR of 10.6% during 2024–2032. The market growth is attributed to the relative stability of gold investments.



Increasing economic uncertainties and geopolitical tensions are fueling the market. Investors are turning to gold as an asset, due to its inherent value and stability. The growing interest of central banks are leading them to expand their gold reserves. This allows them to diversify their holdings and reduce their dependence on the US dollar.

The growing popularity of gold-backed exchange-traded funds (ETFs) is propelling the market. These investments provide investors with exposure to the price movements of gold without the need to physically store the precious metal. The convenience and ease of investing in gold ETFs are attracting a new generation of investors, spurring the market.

• 
  

  According to a January 2024 report published by the World Gold Council, the total value of global gold ETFs rose by 6% to USD 2.4 Billion. This rise was due to a 15% hike in gold prices during 2023.

  
  

Impact of Artificial Intelligence (AI) in Gold Bullion Market

The use of artificial intelligence (AI) is likely to provide substantial propulsion to the gold bullion market. It is enhancing the efficiency and accuracy of gold trading with algorithms. These algorithms rapidly analyze vast amounts of data to make real-time trading decisions. This leads to increasingly profitable trades and reduces the risk of human error.


<br

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

Hong Kong Total Exports: to China: Gold: Value data was reported at 3,884,271.000 HKD th in Sep 2018. This records a decrease from the previous number of 10,453,968.000 HKD th for Aug 2018. Hong Kong Total Exports: to China: Gold: Value data is updated monthly, averaging 2,180,300.500 HKD th from Aug 2001 (Median) to Sep 2018, with 206 observations. The data reached an all-time high of 89,665,850.000 HKD th in Mar 2013 and a record low of 24,630.084 HKD th in Feb 2002. Hong Kong Total Exports: to China: Gold: Value data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.JA030: Gold Trade Statistics: China. The value of “Gold” consists of the following items: Gold (Including Gold Plated With Platinum), Non-Monetary, Unwrought Or In Semi-Manufactured Forms, Or In Powder Form Base Metals Or Silver, Clad With Gold, Not Further Worked Than Semi-Manufactured Waste And Scrap Of Gold (Including Metal Clad With Gold But Excluding Sweepings Containing Other Precious Metals) And Ash Containing Precious Metal Or Precious Metal Compounds Gold Coin And Current Coin

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.

What happens to gold if CPI increases?

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 provides values for GOLD reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

As of June 25, 2024, gold futures contracts to be settled in June 2030 were trading on U.S. markets at around ***** U.S. dollars per troy ounce. This is above the price of ******* U.S. dollars per troy ounce for contracts to be settled in June 2025, indicating that gold traders expect the price of gold to rise over the next five years. Gold futures are contracts that effectively lock in a price for an amount of gold to be purchased at a time in the future, which can then be traded on markets. Futures markets therefore provide an indicator of how investors think a commodities market will develop in the future.

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.

SolGold (SOLG): Digging for Gold or a Digger's Folly?

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