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 >>

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

Graph and download economic data for Producer Price Index by Industry: Gold Ore and Silver Ore Mining (PCU2122221222) from Dec 1984 to Aug 2018 about silver, ore, gold, mining, PPI, industry, inflation, price index, indexes, price, and USA.

United States Index: Philadelphia Stock Exchange: Gold and Silver data was reported at 64.460 Jan1979=100 in Nov 2018. This records an increase from the previous number of 64.280 Jan1979=100 for Oct 2018. United States Index: Philadelphia Stock Exchange: Gold and Silver data is updated monthly, averaging 94.040 Jan1979=100 from Jan 1980 (Median) to Nov 2018, with 467 observations. The data reached an all-time high of 226.580 Jan1979=100 in Dec 2010 and a record low of 43.870 Jan1979=100 in Oct 2000. United States Index: Philadelphia Stock Exchange: Gold and Silver data remains active status in CEIC and is reported by Philadelphia Stock Exchange. The data is categorized under Global Database’s United States – Table US.Z014: Philadelphia Stock Exchange: Indexes.

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

China Retail Price Index: Urban: Gold, Silver and Jewellery data was reported at 101.600 Prev Year=100 in 2022. This records an increase from the previous number of 99.400 Prev Year=100 for 2021. China Retail Price Index: Urban: Gold, Silver and Jewellery data is updated yearly, averaging 101.600 Prev Year=100 from Dec 1994 (Median) to 2022, with 29 observations. The data reached an all-time high of 119.200 Prev Year=100 in 2006 and a record low of 90.400 Prev Year=100 in 1998. China Retail Price Index: Urban: Gold, Silver and Jewellery data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IB: Retail Price Index: Urban: Annual.

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.

Graph and download economic data for Import Price Index (Harmonized System): Silver (Including Silver Plated with Gold or Platinum), Unwrought or in Semimanufactured Forms, or in Powder Form (IP7106) from Dec 2021 to Aug 2025 about silver, harmonized, imports, price index, indexes, price, and USA.

Silver Prices - Historical chart and current data through 2025.

Silver prices in , October, 2025 For that commodity indicator, we provide data from January 1960 to October 2025. The average value during that period was 9.75 USD per troy ounce with a minimum of 0.91 USD per troy ounce in January 1960 and a maximum of 49.44 USD per troy ounce in October 2025. | TheGlobalEconomy.com

United States - Producer Price Index by Industry: Gold Ore and Silver Ore Mining was 206.30000 Index Dec 1984=100 in August of 2018, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Gold Ore and Silver Ore Mining reached a record high of 326.80000 in September of 2011 and a record low of 52.10000 in April of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Gold Ore and Silver Ore Mining - last updated from the United States Federal Reserve on December of 2025.

Graph and download economic data for Credit Suisse NASDAQ Silver FLOWS106 Price Index (NASDAQQSLVO) from 2013-02-28 to 2025-11-06 about silver, NASDAQ, credits, price index, indexes, price, and USA.

United States - Import Price Index (Harmonized System): Silver (Including Silver Plated with Gold or Platinum), Unwrought or in Semimanufactured Forms, or in Powder Form was 150.10000 Index Dec 2012=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Import Price Index (Harmonized System): Silver (Including Silver Plated with Gold or Platinum), Unwrought or in Semimanufactured Forms, or in Powder Form reached a record high of 166.70000 in July of 2025 and a record low of 43.40000 in January of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Import Price Index (Harmonized System): Silver (Including Silver Plated with Gold or Platinum), Unwrought or in Semimanufactured Forms, or in Powder Form - last updated from the United States Federal Reserve on November of 2025.

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

View weekly updates and historical trends for COMEX Silver Futures Open Interest. Source: US Commodity Futures Trading Commission. Track economic data wit…

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

View weekly updates and historical trends for COMEX Silver Combined Managed Money Short Positions. Source: US Commodity Futures Trading Commission. Track …

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

India Consumer Price Index (CPI): Miscellaneous: Silver data was reported at 75.200 2012=100 in Oct 2018. This records an increase from the previous number of 74.500 2012=100 for Sep 2018. India Consumer Price Index (CPI): Miscellaneous: Silver data is updated monthly, averaging 76.300 2012=100 from Jan 2014 (Median) to Oct 2018, with 58 observations. The data reached an all-time high of 85.400 2012=100 in Mar 2014 and a record low of 65.900 2012=100 in Jan 2016. India Consumer Price Index (CPI): Miscellaneous: Silver data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s Inflation – Table IN.IA017: Consumer Price Index: 2012=100: Miscellaneous.