Gold rose to 3,327.32 USD/t.oz on July 4, 2025, up 0.03% from the previous day. Over the past month, Gold's price has fallen 0.76%, but it is still 39.17% 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 July of 2025.

Between January 1971 and May 2025, gold had average annual returns of **** percent, which was only slightly more than the return of commodities, with an annual average of around eight percent. The annual return of gold was over ** percent in 2024. What is the total global demand for gold? The global demand for gold remains robust owing to its historical importance, financial stability, and cultural appeal. During economic uncertainty, investors look for a safe haven, while emerging markets fuel jewelry demand. A distinct contrast transpired during COVID-19, when the global demand for gold experienced a sharp decline in 2020 owing to a reduction in consumer spending. However, the subsequent years saw an increase in demand for the precious metal. How much gold is produced worldwide? The production of gold depends mainly on geological formations, market demand, and the cost of production. These factors have a significant impact on the discovery, extraction, and economic viability of gold mining operations worldwide. In 2024, the worldwide production of gold was expected to reach *** million ounces, and it is anticipated that the rate of growth will increase as exploration technologies improve, gold prices rise, and mining practices improve.

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.

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 graph show how interest rates hikes by the U.S. Federal Reserve affect gold's price. While gold underperforms during the period leading up to rate hikes, its performance improves during the year after the interest rates increase.

Gold prices in , May, 2025 For that commodity indicator, we provide data from January 1960 to May 2025. The average value during that period was 596.56 USD per troy ounce with a minimum of 34.94 USD per troy ounce in January 1970 and a maximum of 3309.49 USD per troy ounce in May 2025. | TheGlobalEconomy.com

As of 31 May 2025, gold had an average **-year return rate of ***** percent, which was slightly above than U.S. stocks with a rate of ***** percent.

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.

Is the S&P GSCI Gold Index a Reliable Guide to Gold's Performance?

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

Comprehensive performance analytics and metrics for Buffalo Gold Cash Collection by Aristocrat.

Gold Bump Market Outlook

The global gold bump market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 2.1 billion by 2032, growing at a CAGR of 6.5% during the forecast period. This impressive growth can be attributed to the increasing demand for high-performance electronic components across various industry verticals. With the ongoing advancements in semiconductor technologies, the application of gold bumps in integrated circuits and microelectromechanical systems (MEMS) is expected to drive market expansion significantly.

One of the primary growth factors for the gold bump market is the proliferation of consumer electronics. As consumers continue to demand more sophisticated gadgets with higher performance and miniaturization, gold bumps play a crucial role in ensuring reliable electrical connections in these compact devices. Smartphones, tablets, and wearables require advanced packaging technologies, and gold bumps provide the necessary electrical conductivity and mechanical stability. Consequently, the escalation in consumer electronics production is directly boosting the gold bump market.

Another significant growth driver is the automotive industryÂ’s shift towards electrification and advanced driver-assistance systems (ADAS). Electric vehicles (EVs) and hybrid electric vehicles (HEVs) require complex electronic systems for battery management, navigation, and safety features. Gold bumps are integral in the manufacturing of these electronic components due to their excellent conductivity and durability. Furthermore, the automotive industry's increasing investment in autonomous driving technology further augments the demand for high-reliability electronic packaging solutions, thereby propelling the gold bump market forward.

The industrial sector's transition towards automation and the Internet of Things (IoT) is another key contributor to the market's growth. Gold bumps are essential in connecting sensors and actuators in industrial IoT devices, ensuring efficient data transmission and system reliability. As industries strive for greater efficiency and reduced downtime, the reliance on robust electronic interconnects like gold bumps is anticipated to grow. This trend is further supported by the increasing investments in smart manufacturing and Industry 4.0 initiatives globally.

Regionally, the Asia-Pacific region is anticipated to dominate the gold bump market due to the high concentration of semiconductor manufacturing facilities and the presence of major electronics producers. Countries like China, Japan, and South Korea are at the forefront of semiconductor technology advancements, leading to substantial demand for gold bumps. Moreover, the region's favorable government policies and investment-friendly environment further enhance its market potential. North America and Europe are also significant markets, driven by technological innovations and high adoption of advanced electronic devices.

Application Analysis

The consumer electronics segment is expected to hold the largest share of the gold bump market. This segment's growth is driven by the increasing demand for smartphones, tablets, laptops, and wearable devices. Gold bumps are critical in these applications for their ability to provide reliable connections in miniaturized components where space constraints and performance reliability are paramount. The rapid pace of technological advancements in consumer electronics, such as the development of 5G technology and foldable devices, further amplifies the need for gold bumps.

In the automotive segment, the adoption of gold bumps is being driven by the rise of electric and autonomous vehicles. These vehicles require sophisticated electronic systems for battery management, navigation, and safety features, which depend heavily on the reliability of their electronic connections. Gold bumps are preferred for their superior conductivity and robustness, making them ideal for automotive applications where performance and safety are critical.

The industrial application segment is witnessing significant growth due to the increasing implementation of automation and IoT technologies. Gold bumps are vital in ensuring the reliability and efficiency of connections in industrial sensors, actuators, and control systems. The trend towards smart manufacturing and Industry 4.0 initiatives is likely to further boost the demand for gold bumps in this sector. As industries seek to optimize production processes and reduce operational downtime, the reliance on high-perfor

Gold Stripper Market Outlook

The global gold stripper market size was valued at USD 1.2 billion in 2023 and is projected to reach USD 2.6 billion by 2032, growing at a CAGR of 8.5% during the forecast period. The market's robust growth is driven by increasing demand from various industries such as electronics, jewelry, aerospace, and automotive, which require efficient and effective gold stripping solutions. The rise in technological advancements and the increasing need for high-precision and clean metal surfaces are also significant growth factors for the market.

One of the primary growth factors for the gold stripper market is the expanding electronics industry. The proliferation of electronic devices such as smartphones, laptops, and other consumer electronics has led to a heightened demand for gold strippers, which are essential in the manufacturing and recycling processes of these devices. Gold is a critical component in electronics due to its excellent conductivity and resistance to corrosion, making the efficiency of gold stripping processes crucial. This rise in electronic device production, coupled with the growing focus on recycling and sustainability, is significantly propelling the market forward.

Another significant growth driver is the jewelry industry, which continues to thrive globally. The increasing consumer inclination towards gold jewelry, especially in emerging markets such as India and China, is boosting the demand for gold strippers. These solutions are vital for refining and repurposing gold for new jewelry pieces, ensuring high purity and quality. Additionally, the trend of customization and bespoke jewelry is pushing manufacturers to adopt advanced gold stripping techniques, further accelerating market growth.

The aerospace and automotive industries are also substantial contributors to the growth of the gold stripper market. The need for high-precision metallic parts and components that require gold stripping for optimal performance and longevity is increasing. The aerospace sector, in particular, demands stringent metal surface treatments to ensure reliability and safety. Similarly, the automotive industry is seeing a surge in the use of electronic components, where gold stripping is essential for maintaining efficiency and performance. The advancements in these industries are fueling the demand for innovative and effective gold stripping solutions.

In the realm of electronics manufacturing, the role of a Strip Test Handler becomes increasingly crucial. These devices are essential for ensuring the quality and reliability of semiconductor components, which are integral to electronic devices. As the demand for smaller and more efficient electronic components grows, the need for precise testing mechanisms like Strip Test Handlers becomes more pronounced. These handlers facilitate the testing of semiconductor strips, ensuring that each component meets the necessary specifications before being integrated into larger systems. The efficiency and accuracy provided by Strip Test Handlers are vital for maintaining the high standards required in the electronics industry, thereby supporting the overall growth of the gold stripper market.

In terms of regional outlook, the Asia Pacific region is expected to dominate the gold stripper market during the forecast period. This dominance is attributed to the rapid industrialization, booming electronics and manufacturing sectors, and a high concentration of jewelry manufacturers in countries like China and India. North America and Europe are also significant markets, driven by technological advancements and the presence of major aerospace and automotive industries. The Middle East & Africa and Latin America are emerging markets, showing potential growth due to increasing industrial activities and rising disposable incomes.

Cyanide-Based Gold Strippers Analysis

Cyanide-based gold strippers have been traditionally used in various industries due to their efficiency and effectiveness in gold removal. These strippers are highly preferred in the electronics and jewelry industries, where precision and purity are paramount. The chemical properties of cyanide allow for a thorough stripping process, making it a popular choice despite the associated environmental and health concerns. The growing demand for high-quality gold components in advanced electronics and intricate jewelry designs continues to drive the market for cyanide-based gold strippers.

Finding the optimal dimensions of metal nanoparticles to maximize their plasmonic performance in targeted applications is a complex and time-consuming process that typically requires a trial-and-error approach. Here we propose a universal pipeline that integrates Bayesian optimization with electrodynamics simulations to find optimal dimensions of gold bipyramids with superior plasmonic performance in photothermal efficiency, enhancement of Raman scattering and photoluminescence, strong coupling between plasmon and exciton, and aggregation-induced color difference. Our workflow is a straightforward tool for plasmonic nanoparticle design, setting their optimal dimensions for targeted applications.

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

Gold Conductor Paste Market Outlook

The global gold conductor paste market size was valued at approximately USD 500 million in 2023 and is projected to reach USD 800 million by 2032, growing at a Compound Annual Growth Rate (CAGR) of around 5.5% during the forecast period. This growth is largely driven by the increasing demand for high-performance electronic components and the expanding applications of gold conductor paste in various industries such as electronics, automotive, and medical devices.

One of the primary growth factors for the gold conductor paste market is the rapid advancement in electronic devices. With the miniaturization of electronic components and the need for reliable and efficient conductivity, gold conductor paste has become indispensable. Its superior electrical properties and excellent thermal stability make it the material of choice for high-end electronics. Additionally, the advent of new technologies such as 5G and IoT is expected to further fuel the demand for gold conductor paste, as these technologies require high-performance conductive materials for their efficient operation.

The automotive industry is another significant driver of market growth. The increasing integration of advanced electronic systems in vehicles, such as sensors, navigation systems, and in-car entertainment systems, is boosting the demand for gold conductor paste. Furthermore, the shift towards electric and hybrid vehicles is creating a new avenue for market expansion. Gold conductor paste is essential for the efficient functioning of various electronic components in these vehicles, thereby propelling market growth.

In the medical devices sector, the use of gold conductor paste is growing rapidly, driven by the need for reliable and durable conductive materials in medical equipment. Gold conductor paste is used in various medical devices, including diagnostic equipment, monitoring devices, and implantable devices, due to its biocompatibility and excellent electrical conductivity. As the healthcare industry continues to advance and the demand for sophisticated medical devices increases, the gold conductor paste market is expected to witness substantial growth.

In addition to gold conductor paste, Silver Conductive Paste is gaining traction in the electronics industry due to its excellent electrical conductivity and cost-effectiveness. Unlike gold, silver offers a more affordable alternative without compromising on performance, making it a popular choice for various applications, including printed circuit boards and photovoltaic cells. The growing demand for efficient and reliable conductive materials in the electronics sector is driving the adoption of silver conductive paste. Its ability to provide strong adhesion and excellent thermal stability further enhances its appeal, particularly in applications where cost constraints are a significant consideration.

Regionally, Asia Pacific holds the largest share of the gold conductor paste market, attributed to the presence of major electronics manufacturing hubs in countries like China, Japan, and South Korea. The region's strong industrial base, coupled with favorable government policies and investments in technology and infrastructure, is driving market growth. North America and Europe are also significant markets, driven by advancements in automotive and aerospace industries. The Middle East & Africa and Latin America, though smaller in market size, are expected to witness steady growth due to increasing industrialization and technological adoption.

Product Type Analysis

The gold conductor paste market is segmented into low-temperature gold conductor paste and high-temperature gold conductor paste. Low-temperature gold conductor paste is designed to cure at lower temperatures, making it suitable for applications where heat-sensitive materials are used. This type of paste is widely used in the electronics industry for applications such as flexible circuits and temperature-sensitive substrates. The market for low-temperature gold conductor paste is expected to grow significantly, driven by the increasing use of flexible and wearable electronics.

High-temperature gold conductor paste, on the other hand, is designed to withstand higher curing temperatures, making it suitable for applications requiring high thermal stability and robust performance. This type of paste finds extensive use in automotive, aerospace, and high-reliability electronics

This chart tracks the price of gold in U.S. dollars over the last 10 years.

Gold is the most popular precious metal in the investment industry. The rate of return for gold investments fluctuated significantly during the period from 2002 to 2024 but generated positive returns in most years of the observed period. The return of gold as an investment reached almost ** percent in 2024, one of the highest recorded. Why is gold valuable? Gold is a precious metal with several practical uses, particularly in technology. For example, NASA uses gold to improve its lasers and protect sensitive things in space, including a part of the visor for its astronauts. However, a large share of the demand for gold worldwide is as an investment, particularly by central banks. Gold serves the purpose of an alternative to currency because it is relatively scarce but still has enough mine production to serve the financial sector. Gold as an investment Under the Bretton Woods agreement after World War II, the world’s major currencies were tied to the value of gold. This system, called the Gold Standard, ended in 1971. Still, most countries maintain significant gold reserves. Due to this history and the overall faith in the value of gold, the average gold price tends to increase in times of recession, making it an attractive investment in uncertain times.

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.

S&P GSCI Gold Index: A Reliable Indicator of Precious Metal Performance?

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.

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

Comprehensive performance analytics and metrics for Where's the Gold by Aristocrat.