Silver rose to 38.37 USD/t.oz on July 11, 2025, up 3.65% from the previous day. Over the past month, Silver's price has risen 5.59%, and is up 24.68% 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 July of 2025.

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

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 >>

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

During the last quarter of 2024, the silver prices in the USA reached 31.3 USD/toz (H2 2024 Avg Price) in December. As per the silver price chart, prices surged during the latter half of 2024, largely influenced by the Federal Reserve’s interest rate cuts, which diminished the dollar. This shift made silver an attractive investment, particularly as a lower-cost alternative to gold.

Explore IMARC’s newly published report, titled “Silver Prices, Trend, Chart, Demand, Market Analysis, News, Historical and Forecast Data Report 2025 Edition,” offers an in-depth analysis of silver pricing, covering an analysis of global and regional market trends and the critical factors driving these price movements.

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.

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

In 2025, the price of platinum is forecast to hover around 1,150 U.S. dollars per troy ounce. Meanwhile, the cost of per troy ounce of gold is expected to amount to 1,700 U.S. dollars.

Precious metals

Precious metals are counted among the most valuable commodities worldwide. The most well known such metals are gold, silver and the platinum group metals. A precious metal can be used as an industrial commodity or as an investment. The major areas of application include the following sectors: technology, car-making, industrial manufacturing and jewelry making. Furthermore, gold and silver are used as coinage metals, and gold reserves are held by the central banks of many countries worldwide in order to store value or for use as a redemption medium. The idea behind this procedure is that gold reserves will help secure and stabilize the countries’ respective currencies. At 8,100 tons, the United States is the country with the most extensive stock of gold. It is kept in an underground vault at the New York Federal Reserve Bank.

Russia, the United States, Canada, South Africa and China are the main producers of precious metals. Silver is the most abundant of the metals, followed by gold and palladium. Barrick Gold is the world’s largest gold mining company. The Toronto-based firm produced some five million ounces of gold in 2020. The leading silver producers include Mexico-based Fresnillo, Poland’s KGHM Polska Miedž and the mining giant Glencore. Anglo Platinum and Impala are the key mining companies to produce platinum group metals.

In 2023, Silver prices are expected to settle at around 23.5 U.S. dollars per troy ounce. It is expected to remain the precious metal with the lowest value per ounce. The price of gold is forecast to drop to around 1,663 U.S. dollars per ounce, making it the most expensive precious metal in 2023.

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.

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.

In 2024, the Indian unwrought silver market increased by 276% to $3.2B, rising for the second year in a row after four years of decline. In general, consumption continues to indicate a tangible expansion. Unwrought silver consumption peaked at $4.5B in 2013; however, from 2014 to 2024, consumption remained at a lower figure.

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

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.

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

Bullion Price: Monthly Average: Mumbai: Silver data was reported at 95,524.000 INR/kg in Feb 2025. This records an increase from the previous number of 90,020.000 INR/kg for Jan 2025. Bullion Price: Monthly Average: Mumbai: Silver data is updated monthly, averaging 19,356.000 INR/kg from Apr 1990 (Median) to Feb 2025, with 419 observations. The data reached an all-time high of 95,524.000 INR/kg in Feb 2025 and a record low of 5,554.000 INR/kg in Mar 1993. Bullion Price: Monthly Average: Mumbai: Silver data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.PG002: Memo Items: Bullion Price.

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 Silver Index: A Reliable Benchmark for Silver Prices?

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.

Silver's 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

In 2024, the Iranian silver market was finally on the rise to reach $346K for the first time since 2021, thus ending a two-year declining trend. In general, consumption, however, showed a abrupt downturn. Silver consumption peaked at $2.8M in 2012; however, from 2013 to 2024, consumption stood at a somewhat lower figure.

In 2024, the Nepalese silver market increased by 143% to $64M for the first time since 2021, thus ending a two-year declining trend. In general, consumption continues to indicate perceptible growth. Over the period under review, the market attained the maximum level at $209M in 2015; however, from 2016 to 2024, consumption remained at a lower figure.

Hong Kong Local Silver Prices data was reported at 1,131.000 USD/10 oz in Oct 2018. This records an increase from the previous number of 1,117.000 USD/10 oz for Sep 2018. Hong Kong Local Silver Prices data is updated monthly, averaging 500.000 USD/10 oz from Jan 1981 (Median) to Oct 2018, with 454 observations. The data reached an all-time high of 3,761.000 USD/10 oz in Apr 2011 and a record low of 277.000 USD/10 oz in Feb 1993. Hong Kong Local Silver Prices 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.P003: Gold and Silver Prices.