Silver fell to 57.28 USD/t.oz on December 2, 2025, down 1.22% from the previous day. Over the past month, Silver's price has risen 19.11%, and is up 84.81% 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 December of 2025.

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 >>

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

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.

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

View monthly updates and historical trends for Silver Price. from United States. Source: World Bank. Track economic data with YCharts analytics.

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.

Silver prices may remain elevated due to rising inflationary pressures and increased demand for safe-haven assets amid geopolitical uncertainties. However, potential risks include a stronger US dollar, reduced industrial activity due to economic slowdown, and volatility in equity markets.

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

This dataset can be used to predict the stock market. The data is extracted from MT5 terminal integrated in python.

The datasets include the minute by minute fluctuations of Gold and Silver prices over from 1st of January 2023 to 17th April 2025. The data can be used to train models for seasonality or a minute-by-minute approach.

The data has 7 columns:

• Time: The minute in which the event or movement occurred (Can be converted to Datetype with pd.to_datatime)
• Open Price
• High Price
• Low Price
• Close Price (The Feature to Predict if desired)
• Tick Volume: The Volume at the in which the event or movement occurred
• EMA: Exponential Moving Average (Technical Estimator for Risk management in the predictions and overall better performance)
• OBV: On-Balance Volume (Technical Estimator for Risk management in the predictions and overall better performance)

Two datasets are used;

Achilles Data Gold-Silver: with 1,416,340 rows to predict Gold, Silver and other Metals. Achilles Data Gold: with 708,264 rows to predict Gold, Silver and other Metals.

You may find the paper of our implementation here: https://doi.org/10.48550/arXiv.2410.21291

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 for 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

Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% 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 December of 2025.

Continuously updated Monex bid/ask prices for Silver spot and common bullion products.

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.

This dataset contains daily financial data from 2015 to 2025, including gold prices and related market indicators. It includes the following fields: date – trading date SPX – S&P 500 index value GLD – gold price ISO – international stock index SLV – silver price EUR/USD – USD exchange rate The dataset can be useful for time-series analysis, forecasting, and studying correlations between gold and global markets.

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.

The size of the Silver Market was valued at USD 29.4 Billion in 2023 and is projected to reach USD 59.14 Billion by 2032, with an expected CAGR of 10.5% during the forecast period. Recent developments include: Silver market forecasts from 2021 and the upcoming years suggest that most key industrial players focus on exploring new technologies that can be merged with the silver market production. This greatly helps in the purchase of commodities. Several regulatory bodies are implemented for the detection and quality verification of the silver as well that disclose a proper commodity market. Not only consumers but also manufacturers and retailers help with the same. This now provides numerous opportunities for marketers due to the rising demand of the prominent key players of the market like Goldcorp, Gold Fields, and Barrick Gold.. Key drivers for this market are: Growing global population and rising disposable income. Increasing demand for silver in electronics and technology. Concerns about energy security and the need for renewable energy sources.. Potential restraints include: Price volatility and fluctuations in supply and demand. Competition from substitute materials, such as copper and aluminum. Stringent environmental regulations governing silver mining and processing activities.. Notable trends are: Development of new technologies for silver extraction and processing. Rising adoption of silver-based antimicrobial and antibacterial technologies. Growing interest in silver as a sustainable investment asset..

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.

Discover the booming silver market's future! This comprehensive analysis reveals a CAGR exceeding 5%, driven by jewelry, electronics, and investment demand. Explore key trends, restraints, and regional breakdowns for the period 2019-2033. Learn which companies are leading the charge and how this precious metal's future is shaping up. Recent developments include: April 2023: Impact Silver Corp. announced the completion of the share purchase and sale agreement with Consolidated Zinc Limited of Australia, the purchase of all outstanding shares of its subsidiary, Minera Latin America Zinc S.A.P.I de C.V., which holds a 100% interest in the high-grade, Plomosas zinc-lead-silver mine in the state of Chihuahua, northern Mexico. The agreement consists of a total price of USD 6 million out of which USD 3 million is to be given in cash and the balance in the form of IMPACT shares., March 2023: Pan American Silver Corp announced the USD 4.8 billion acquisition of all the issued and outstanding common shares of Yamana Gold, following the sale by Yamana of its Canadian assets, including certain subsidiaries and partnerships. With this acquisition, the company expects a material increase in the production of silver and gold, while also continuing to provide a preferred way to invest in silver through large silver mineral reserves and growth opportunities.. Key drivers for this market are: Increasing Demand for Silver in Industrial and Electrical Applications, Rising Demand for Silver in Jewelry and Silverware. Potential restraints include: Increasing Demand for Silver in Industrial and Electrical Applications, Rising Demand for Silver in Jewelry and Silverware. Notable trends are: Electrical and Electronics Application to Dominate.