Silver rose to 46.07 USD/t.oz on September 26, 2025, up 1.90% from the previous day. Over the past month, Silver's price has risen 19.38%, and is up 45.70% 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 September of 2025.

A SOCIAL UTILITY FOCUSED INCOME INEQUALITY INDEXby Maria Despoina ArgyrouDepartment of Economics National and Kapodistrian University of Athens A Dissertation submitted in partial fulfillment of the requirements for the Degree of Doctor of Philosophy in Economics(Datasets, Scripts and STATA Output)

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

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 in , August, 2025 For that commodity indicator, we provide data from January 1960 to August 2025. The average value during that period was 9.66 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

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

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

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 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.

United States IP: PS: Silver incl Silver Plated with Gold or Platinum data was reported at 137.300 Dec2021=100 in Mar 2025. This records a decrease from the previous number of 137.500 Dec2021=100 for Feb 2025. United States IP: PS: Silver incl Silver Plated with Gold or Platinum data is updated monthly, averaging 105.150 Dec2021=100 from Dec 2021 (Median) to Mar 2025, with 40 observations. The data reached an all-time high of 141.200 Dec2021=100 in Nov 2024 and a record low of 81.000 Dec2021=100 in Sep 2022. United States IP: PS: Silver incl Silver Plated with Gold or Platinum data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.JA237: Import Price Index: by Harmonized Index.

Graph and download economic data for CBOE Silver ETF Volatility Index (DISCONTINUED) (VXSLVCLS) from 2011-03-16 to 2022-02-11 about silver, ETF, VIX, volatility, stock market, and USA.

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

Graph and download economic data for Credit Suisse NASDAQ Silver FLOWS106 Price Index (NASDAQQSLVO) from 2013-02-28 to 2025-09-15 about silver, NASDAQ, credits, price index, indexes, price, and USA.

Graph and download economic data for Nasdaq Sprott Silver Miners Index Net Total Return Index (NASDAQNSLVRN) from 2024-08-05 to 2025-09-23 about silver, return, NASDAQ, mining, Net, indexes, and USA.

China Retail Price Index: Gold, Silver and Jewellery data was reported at 101.800 Prev Year=100 in 2022. This records an increase from the previous number of 99.500 Prev Year=100 for 2021. China Retail Price Index: Gold, Silver and Jewellery data is updated yearly, averaging 100.999 Prev Year=100 from Dec 1994 (Median) to 2022, with 29 observations. The data reached an all-time high of 119.654 Prev Year=100 in 2006 and a record low of 90.700 Prev Year=100 in 2001. China Retail Price Index: 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: Annual.

Graph and download economic data for Nasdaq Sprott Silver Miners Index (NASDAQNSLVR) from 2024-08-05 to 2025-09-22 about silver, NASDAQ, mining, indexes, and USA.

Retail Price Index: Xinjiang: Gold, Silver & Jewellery data was reported at 102.800 Prev Year=100 in 2022. This records an increase from the previous number of 98.400 Prev Year=100 for 2021. Retail Price Index: Xinjiang: Gold, Silver & Jewellery data is updated yearly, averaging 101.527 Prev Year=100 from Dec 1994 (Median) to 2022, with 29 observations. The data reached an all-time high of 118.500 Prev Year=100 in 2011 and a record low of 91.300 Prev Year=100 in 1998. Retail Price Index: Xinjiang: Gold, Silver & 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: Xinjiang.

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 September of 2025.

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