Silver fell to 48.28 USD/t.oz on October 21, 2025, down 7.74% from the previous day. Over the past month, Silver's price has risen 9.57%, and is up 39.03% 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 October of 2025.

Of the five largest publicly owned produces of silver, Swiss multinational commodity trading and mining company Glencore saw an increase in its share price over recent years. Between January 2018 and March 2024, the share price of Glencore saw its share price increase by nearly ***** percent. Conversely, rest of the top five companies saw their share price decline over this period.

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

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.

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

The Silver Market Report is Segmented by Type (Fine Silver, Sterling Silver, Argentium Silver, Coin Silver, Other Types), Application (Physical Investment, Electrical and Electronics, Photographic Films, Brazing Alloys and Solders, Jewelry and Silverware, Pharmaceuticals and Biomedical, Other Applications), and Geography (Asia-Pacific, North America, Europe, South America, Middle-East and Africa).

Silver Standard Resources stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

In 2024, Mexico was the largest producer of silver in the world, accounting for nearly *****percent of global mine production. China came in second place, representing some **** percent of this precious metal's production worldwide. Peru followed closely, ranking third with almost **** percent of the global silver production that year.

China Warehouse Stock: Shanghai Future Exchange: Silver data was reported at 932.184 Ton in 13 May 2025. This records an increase from the previous number of 924.953 Ton for 12 May 2025. China Warehouse Stock: Shanghai Future Exchange: Silver data is updated daily, averaging 1,318.760 Ton from Jul 2012 (Median) to 13 May 2025, with 3124 observations. The data reached an all-time high of 3,091.112 Ton in 12 Jan 2021 and a record low of 0.000 Ton in 18 Jul 2012. China Warehouse Stock: Shanghai Future Exchange: Silver data remains active status in CEIC and is reported by Shanghai Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Stock.

Global Import of Silver Share by Country (US Dollars), 2023 Discover more data with ReportLinker!

The MENA's silver market shrank to $3.1B in 2024, falling by -7.8% against the previous year. Overall, consumption, however, saw a relatively flat trend pattern. As a result, consumption attained the peak level of $3.5B. From 2022 to 2024, the growth of the market remained at a somewhat lower figure.

After two years of decline, the global silver market increased by 9.2% to $62.4B in 2024. In general, consumption, however, saw a relatively flat trend pattern. As a result, consumption reached the peak level of $65.1B. From 2022 to 2024, the growth of the global market remained at a somewhat 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 U.S. silver market rose sharply to $7.5B in 2024, increasing by 6.2% against the previous year. Over the period under review, consumption showed a relatively flat trend pattern. Over the period under review, the market reached the peak level at $7.5B in 2012; afterwards, it flattened through to 2024.

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

Explore how economic indicators, geopolitical stability, and industrial demand influence silver prices in the stock market and commodities trading. Learn about the impact of central banks' monetary policies and the role of silver in sectors like electronics and clean energy. Discover investment options like silver ETFs and mining stocks to diversify portfolios and manage market volatility.

The Indian silver market surged to $6.5B in 2024, with an increase of 102% against the previous year. In general, consumption continues to indicate strong growth. As a result, consumption reached the peak level of $7.2B. From 2023 to 2024, the growth of the market remained at a somewhat lower figure.

Index Time Series for abrdn Physical Silver Shares ETF. The frequency of the observation is daily. Moving average series are also typically included. The shares are intended to constitute a simple and cost-effective means of making an investment similar to an investment in silver. An investment in physical silver requires expensive and sometimes complicated arrangements in connection with the assay, transportation, warehousing and insurance of the metal. Although the shares are not the exact equivalent of an investment in silver, they provide investors with an alternative that allows a level of participation in the silver market through the securities market.

Global Export of Silver Share by Country (US Dollars), 2023 Discover more data with ReportLinker!

The EU silver market was finally on the rise to reach $6.2B in 2024, after two years of decline. In general, consumption, however, recorded a relatively flat trend pattern. As a result, consumption attained the peak level of $8.1B. From 2022 to 2024, the growth of the market remained at a somewhat lower figure.