Gold rose to 4,366.65 USD/t.oz on October 20, 2025, up 2.74% from the previous day. Over the past month, Gold's price has risen 16.53%, and is up 60.46% 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 October of 2025.

Turkey Gold Market: IGE: TRY: Last Trade Day: Transaction Value data was reported at 2,021,541.500 TRY in Nov 2018. This records a decrease from the previous number of 4,717,195.500 TRY for Oct 2018. Turkey Gold Market: IGE: TRY: Last Trade Day: Transaction Value data is updated monthly, averaging 1,498,180.000 TRY from Jul 1995 (Median) to Nov 2018, with 281 observations. The data reached an all-time high of 171,385,100.000 TRY in Nov 2014 and a record low of 0.000 TRY in Aug 2013. Turkey Gold Market: IGE: TRY: Last Trade Day: Transaction Value 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.

Explore insights from Market Research Intellect's Gold Invest Trading Platform Market Report, valued at USD 2.5 billion in 2024, expected to reach USD 5.8 billion by 2033 with a CAGR of 10.2% during 2026-2033.Uncover opportunities across demand patterns, technological innovations, and market leaders.

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.

Turkey Gold Market: IGE: USD: Last Trade Day: Transaction Amount data was reported at 895.648 kg in Jul 2018. This records an increase from the previous number of 660.671 kg for Jun 2018. Turkey Gold Market: IGE: USD: Last Trade Day: Transaction Amount data is updated monthly, averaging 767.000 kg from Jul 1995 (Median) to Jul 2018, with 277 observations. The data reached an all-time high of 7,150.000 kg in Sep 1998 and a record low of 0.000 kg in Aug 2013. Turkey Gold Market: IGE: USD: Last Trade Day: Transaction Amount 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 Fields stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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

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

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.

Gold Invest Trading Platform Market size was valued at USD 1.9 Billion in 2024 and is projected to reach USD 4.2 Billion by 2032, growing at a CAGR of 10.4% during the forecast period 2026-2032.Rising Gold Prices: In 2025, gold prices surged by 26%, reaching record highs of over USD 3,500 per ounce, driving increasing interest in trading platforms for gold investments.Growing Demand for Digital Investment Tools: The popularity of online trading platforms makes gold investment more accessible, allowing a broader range of investors to participate in the market.Geopolitical Uncertainties: Economic instability and geopolitical tensions, such as trade wars or conflicts, increase the appeal of gold as a safe-haven asset, thereby driving demand for gold trading.Expansion of Retail Investors: A growing number of retail investors, supported by user-friendly digital platforms, are engaging in gold trading, fueling market growth.

Turkey Gold Market: IGE: USD: Last Trade Day: Transaction Value data was reported at 35,147,006.440 USD in Jul 2018. This records an increase from the previous number of 26,558,150.240 USD for Jun 2018. Turkey Gold Market: IGE: USD: Last Trade Day: Transaction Value data is updated monthly, averaging 15,939,583.670 USD from Jul 1995 (Median) to Jul 2018, with 277 observations. The data reached an all-time high of 251,758,802.670 USD in Apr 2013 and a record low of 0.000 USD in Aug 2013. Turkey Gold Market: IGE: USD: Last Trade Day: Transaction Value 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.

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

Turkey Gold Market: IGE: TRY: Last Trade Day: Transaction Amount data was reported at 9.950 kg in Nov 2018. This records a decrease from the previous number of 21.890 kg for Oct 2018. Turkey Gold Market: IGE: TRY: Last Trade Day: Transaction Amount data is updated monthly, averaging 61.306 kg from Jul 1995 (Median) to Nov 2018, with 281 observations. The data reached an all-time high of 7,170.000 kg in Sep 1998 and a record low of 0.000 kg in Aug 2013. Turkey Gold Market: IGE: TRY: Last Trade Day: Transaction Amount 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.

Turkey Gold Market: IGE: USD: Last Trade Day: Weighted Avg Price data was reported at 1,220.690 USD/oz in Jul 2018. This records a decrease from the previous number of 1,250.320 USD/oz for Jun 2018. Turkey Gold Market: IGE: USD: Last Trade Day: Weighted Avg Price data is updated monthly, averaging 634.710 USD/oz from Jul 1995 (Median) to Jul 2018, with 277 observations. The data reached an all-time high of 1,784.100 USD/oz in Feb 2012 and a record low of 0.000 USD/oz in Aug 2013. Turkey Gold Market: IGE: USD: 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.

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

Explore the top import markets for gold based on the Import Value of Gold in 2022. Switzerland, China, and the United Kingdom lead the way as major players in the global gold trade. Discover key statistics and market insights.

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.

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  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.


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Gold prices soar to $3,246 amid U.S.-China trade tensions, reflecting a 37% increase over the past year as investors seek safe-haven assets.

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: A Beacon of Precious Metal Value?

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