Interactive chart of historical data for real (inflation-adjusted) silver 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.

Silver fell to 35.97 USD/t.oz on June 27, 2025, down 1.88% from the previous day. Over the past month, Silver's price has risen 9.11%, and is up 23.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Silver - values, historical data, forecasts and news - updated on June of 2025.

Dataset of historical annual silver prices from 1970 to 2022, including significant events and acts that impacted silver prices.

This statistic depicts the average monthly prices for silver worldwide from January 2014 through January 2025. In January 2025, the average monthly price for silver worldwide stood at 30.41 nominal U.S. dollars per troy ounce.

The price of an ounce of silver increased sharply in 2021, rising around 17 percent from January 28 to February 1. The cause of this increase is attributed to retail investors mobilized via social media with the intention of causing losses to professional investors, similar to the rise in the stock price of video game retailer GameStop, and the stock price of cinema operator AMC several days beforehand. As of midnight July 18, 2023, the price of silver was trading at 24.9 U.S. dollars per troy ounce.

Stay informed with real-time charts of international precious metal prices. Monitor spot prices for Silver in USD, GBP, and EUR. Access live updates here >>

Silver prices in , May, 2025 For that commodity indicator, we provide data from January 1960 to May 2025. The average value during that period was 9.55 USD per troy ounce with a minimum of 0.91 USD per troy ounce in January 1960 and a maximum of 42.7 USD per troy ounce in April 2011. | TheGlobalEconomy.com

In 2024, the average nominal price of silver in India was ****** Indian rupees for one kilogram, which was an increase of over ****** rupees from the previous year, and the highest figure during the period of consideration.

Interactive chart of historical daily platinum prices back to 1985. The price shown is in U.S. Dollars per troy ounce.

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.

Predicting Silver Prices with Machine Learning: Promising Approaches and Considerations

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

The Global Precious metals Market size is expected to grow at a CAGR of 5.6% during the forecast period by 2028. The growth can be attributed to industrial applications such as jewelry and medical devices which are anticipated to increase demand for gold and silver medal, respectively over the forecast period.

Precious metals are a group of elements that have been used for centuries to create some of the most beautiful and highest quality objects in history. Gold, silver, platinum, and palladium are precious metals while copper is not typically categorized as a precious metal because it is so abundant on earth. The beauty of precious metals is not their only value. They are also used in applications that range from industry to financial services and even consumer goods such as jewelry.

On the basis of Type, the market is segmented into Gold, Silver Metal, Platinum Group Metals.

Gold:

Gold is a chemical element with the symbol Au and an atomic number of 79. It has been a highly sought-after precious metal for coinage, jewelry, and other arts since the beginning of recorded history. The metal occurs as nuggets or grains in rocks, underground veins, and in alluvial deposits. Gold is dense, soft, shiny and the most malleable and ductile pure metal known to man which means it can be beaten into thin sheets (0.0000001 mm) but not dissolved by any acid.

Silver Metal:

The term ‘silver metal’ is used to refer to the silver-rich alloy of metals. The alloys are also known as Ag or sterling, which has high purity and includes copper, nickel, zinc, etc. Silver metal is increasingly preferred over other precious metals due to its low cost in comparison with gold and platinum group metals (PGM).

Platinum Group Metals:

Platinum Group Metals are a group of metals that have been traditionally used in the industry, but lately, they have become popular for other applications as well. The main features of Platinum Group Metals are that they can be worked into almost any shape or form and their price remains stable even when the market becomes very volatile.

On the basis of Application, the market is segmented into Industry, Consumer Sector, Financial Sector.

Industry:

In the industry sector, precious metals are used in many different aspects of production. This includes anything from electronics to car manufacturing and even healthcare applications. A lot of technology devices require these materials for their construction, most notably smartphones. Smartphone manufacturers use gold foils on circuit boards due to their low electrical resistance properties that help with signal transmission between components.

Consumer Sector:

Precious metals are used in various consumer electronics. The use of gold, silver, and platinum for manufacturing electronic equipment has increased due to the increasing penetration of smartphones, tablets, etc., which have grown rapidly over the past decade or so. The consumer sector is expected to be the largest market for precious metals, and this trend will continue over the forecast period.

Financial Sector:

Gold and silver are used in a range of financial products, from coins to bars. Gold has been held as an asset for thousands of years because it is scarce, durable, liquid, and does not need any other material to produce jewelry or be shaped into ornaments. Silver's physical characteristics have also resulted in its widespread use in industry: being highly conductive means that silver metal dramatically lowers energy costs when compared with traditional materials such as a copper wire.

On the basis of Region, the market is segmented into North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.

The North American market is expected to account for the largest share, due to its increasing demand from several end-use industries. The U.S., which contributes a major share of this region’s revenue, has been witnessing an upsurge in public and private investment opportunities across different sectors such as the oil & gas exploration and the construction industry. This trend is likely to boost the availability of raw materials required by downstream segments including Gold Jewelry manufacturer companies, thereby driving growth over the next few years. The Latin American market is estimated to be the fastest-growing during the forecast period. The Asia Pacific will witness significant growth due to factors such as developments in the mining industr

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.

Gold and silver prices increased over the course of 2021, but these did not grow as fast as the prices of iridium and, especially, rhodium. According to a comparison of price indices, the price for rhodium - a precious metal similar to platinum and used especially in catalytic converters of cars - was ten times higher in April 2021 than it was in January 2019. The price hike for rhodium was apparently caused by coronavirus-related lockdowns implemented in South Africa, where mining companies had to close for several weeks.

Silver Price: USD data was reported at 14.560 USD/oz in Sep 2018. This records a decrease from the previous number of 14.910 USD/oz for Aug 2018. Silver Price: USD data is updated monthly, averaging 6.100 USD/oz from Dec 1985 (Median) to Sep 2018, with 394 observations. The data reached an all-time high of 48.150 USD/oz in Apr 2011 and a record low of 3.558 USD/oz in Feb 1993. Silver Price: USD data remains active status in CEIC and is reported by Swiss National Bank. The data is categorized under Global Database’s Switzerland – Table CH.P001: Precious Metals Prices.

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

Rhodium price data, historical values, forecasts, and news provided by Money Metals Exchange. Rhodium prices and trends updated regularly to provide accurate market insights.

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: Tracking Precious Metals 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 dataset provides values for SILVER reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

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.

Chile Average Price: Silver: COMEX data was reported at 32.226 USD/Troy oz in 14 May 2025. This records a decrease from the previous number of 32.388 USD/Troy oz for 12 May 2025. Chile Average Price: Silver: COMEX data is updated daily, averaging 21.240 USD/Troy oz from Jan 2005 (Median) to 14 May 2025, with 5127 observations. The data reached an all-time high of 48.580 USD/Troy oz in 29 Apr 2011 and a record low of 11.740 USD/Troy oz in 18 Mar 2020. Chile Average Price: Silver: COMEX data remains active status in CEIC and is reported by Chilean Copper Commission. The data is categorized under Global Database’s Chile – Table CL.P001: Average Price: Metals. [COVID-19-IMPACT]