Silver fell to 39.18 USD/t.oz on July 23, 2025, down 0.31% from the previous day. Over the past month, Silver's price has risen 9.07%, and is up 35.61% 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.

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 statistic depicts the average monthly prices for silver worldwide from January 2014 through June 2025. In June 2025, the average monthly price for silver worldwide stood at ***** nominal U.S. dollars per troy ounce.

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.

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

Silver prices in , June, 2025 For that commodity indicator, we provide data from January 1960 to June 2025. The average value during that period was 9.59 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

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

A historical dataset of monthly silver prices per troy ounce in USD since 2010.

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.

The dataset shows average price in domestic and foreign markets of gold and silver

Note: The data sources are: 1. Gold and Silver Prices in Mumbai: Business Standard, Business Line, or The Economic Times (Mumbai) , IBJA Website. 2. Gold Price in London: LBMA. 3. Silver Price in New York:Thomson Reuters.

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

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 & SILVER PRICES : 1791 - 2020

Yearly prices of the two infamous Ornamental Metals

Content

4 Columns namely Year,Gold Price, Silver Price,Ratio of Gold and Silver prices.

Prices of Gold and Silver in years 1791 to 2020. A column for Gold/Silver is also provided. The prices are in New York Market Price. U.S. dollars per fine ounce

Acknowledgements

For data : www.measuringworth.com/datasets/gold/result.php For correction and validation : www.finfacts.ie/Private/curency/goldmarketprice.htm , https://sdbullion.com/silver-price-history

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.

Silver rose to 36.11 USD/t.oz on July 2, 2025, up 0.21% from the previous day. Over the past month, Silver's price has risen 4.60%, and is up 18.28% 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.

The dataset contains year- and month-wise compiled data on the average prices of Gold (Standard) and Silver at Mumbai in India

Turkey Silver Market: IGE: TRY: Last Trade Day: Weighted Avg Price data was reported at 0.000 TRY/kg in Oct 2018. This records a decrease from the previous number of 2,742.000 TRY/kg for Sep 2018. Turkey Silver Market: IGE: TRY: Last Trade Day: Weighted Avg Price data is updated monthly, averaging 284.000 TRY/kg from Jul 1999 (Median) to Oct 2018, with 232 observations. The data reached an all-time high of 3,084.930 TRY/kg in Aug 2018 and a record low of 0.000 TRY/kg in Oct 2018. Turkey Silver Market: IGE: TRY: Last Trade Day: Weighted Avg Price data remains active status in CEIC and is reported by Borsa Istanbul . The data is categorized under Global Database’s Turkey – Table TR.Z021: Istanbul Gold Exchange: Silver Market.

The dataset shows average price in domestic and foreign markets of gold and silver

Note: 1. The data source for this Table for the period till 1999-2000 are Bombay Bullion Association and Press Trust of India. For the period 2000-01 onwards, the data sources are (i) Business Standard/ Business Line and Economic Times, Mumbai/IBJA Website for gold and silver price in Mumbai and LBMA for gold price in London and (ii) Thomson Reuters for silver price in New York. 2. Data provided in this Table for the period 1979-80 to 1999-2000 and 2000-01 to 2020-21 may not be strictly comparable due to different sources of information.

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.

Rhodium price data, historical values, forecasts, and news provided by Money Metals Exchange. Rhodium prices and trends updated regularly to provide accurate market insights.