Silver futures contracts to be settled in December 2028 were trading on U.S. markets at around ** U.S. dollars per troy ounce on June 20, 2023. This is above the price of ***** U.S. dollars per troy ounce for contracts to be settled in May 2024, indicating silver traders expect the price of silver to decrease over the next five years. Silver futures are contracts that effectively lock in a price for an amount of silver to be purchased at a time in the future, which can then be traded on markets. Futures markets therefore provide an indicator of how investors think a commodities market will develop in the future.

Silver fell to 38.14 USD/t.oz on July 18, 2025, down 0.02% from the previous day. Over the past month, Silver's price has risen 4.79%, and is up 30.54% 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.

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

Get the latest insights on price movement and trend analysis of Silver in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East Africa).

In 2025, the price of platinum is forecast to hover around 1,150 U.S. dollars per troy ounce. Meanwhile, the cost of per troy ounce of gold is expected to amount to 1,700 U.S. dollars.

Precious metals

Precious metals are counted among the most valuable commodities worldwide. The most well known such metals are gold, silver and the platinum group metals. A precious metal can be used as an industrial commodity or as an investment. The major areas of application include the following sectors: technology, car-making, industrial manufacturing and jewelry making. Furthermore, gold and silver are used as coinage metals, and gold reserves are held by the central banks of many countries worldwide in order to store value or for use as a redemption medium. The idea behind this procedure is that gold reserves will help secure and stabilize the countries’ respective currencies. At 8,100 tons, the United States is the country with the most extensive stock of gold. It is kept in an underground vault at the New York Federal Reserve Bank.

Russia, the United States, Canada, South Africa and China are the main producers of precious metals. Silver is the most abundant of the metals, followed by gold and palladium. Barrick Gold is the world’s largest gold mining company. The Toronto-based firm produced some five million ounces of gold in 2020. The leading silver producers include Mexico-based Fresnillo, Poland’s KGHM Polska Miedž and the mining giant Glencore. Anglo Platinum and Impala are the key mining companies to produce platinum group metals.

In 2023, Silver prices are expected to settle at around 23.5 U.S. dollars per troy ounce. It is expected to remain the precious metal with the lowest value per ounce. The price of gold is forecast to drop to around 1,663 U.S. dollars per ounce, making it the most expensive precious metal in 2023.

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 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.

Fortuna's Silver Future (FSM): A Mine's Worth of Questions?

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 Bullion Market size is expected to develop revenue and exponential market growth at a remarkable CAGR during the forecast period from 2025-2032

Explore the Silver Catalyst Market with insights on demand, volume, price range, and industry outlook. Get a comprehensive analysis of key trends, applications, and future forecasts from 2018 to 2034.

Check out Market Research Intellect's Silver Graphite Brush Market Report, valued at USD US450 million in 2024, with a projected growth to USD US650 million by 2033 at a CAGR of 5.0% (2026-2033).

The global silver powder and flakes sales are set for steady growth, driven by their pivotal role in electronics, photovoltaics, and advanced materials. The valuation reached at USD 4,829.2 million in 2020, is projected to reach USD 5,648.7 million by 2024 and USD 5,925.5 million by 2025, with a year-on-year growth rate of 4.7%. By 2035, it is forecasted to grow to USD 9,560.4 million, registering a robust CAGR of 4.9% between 2025 and 2035.

Attributes	Key Insights
Estimated Value (2025)	USD 5,925.5 million
Projected Size (2035)	USD 9,560.4 million
Value-based CAGR (2025 to 2035)	4.9%

Semi-annual market update

Particular	Value CAGR
H1 2024	4.5% (2024 to 2034)
H2 2024	4.8% (2024 to 2034)
H1 2025	4.6% (2025 to 2035)
H2 2025	5.1% (2025 to 2035)

Country-wise Insights

Countries	Value CAGR (2025 to 2035)
China	7.1%
India	6.5%
South Korea	6.4%
Mexico	6.2%
Germany	5.9%

Category-wise Insights

Segment	Value Share (2025)
Silver Powder (by Product Type)	67.1%

Segment	Value Share (2025)
95% - 99% (by Purity)	52.9%

The Silver Paste market is a vital segment of the advanced materials industry, known for its primary role in facilitating electrical conductivity in various applications, including photovoltaics, electronics, and circuit board manufacturing. Silver paste, an essential conductive material, is predominantly used for s

The recycled gold and silver market has emerged as a significant player in the global precious metals industry, offering sustainable solutions for both environmental challenges and resource scarcity. This market encompasses the collection, refining, and resale of reclaimed metals, primarily drawn from electronic was

Check out Market Research Intellect's Silver Paste Consumption Market Report, valued at USD 1.25 billion in 2024, with a projected growth to USD 1.85 billion by 2033 at a CAGR of 5.2% (2026-2033).

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.

Vizsla Silver's (VZLA) Future Outlook: Analysts Predict Bullish Run.

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 single crystal silver powder market is experiencing robust growth, driven by increasing demand across diverse sectors. While precise market sizing data is unavailable, a logical estimation based on similar materials and market trends suggests a current market size (2025) of approximately $250 million USD. Considering a conservative Compound Annual Growth Rate (CAGR) of 7% from 2025-2033, the market is projected to reach approximately $450 million USD by 2033. Key drivers include the burgeoning electronics industry, particularly in high-frequency applications and advanced semiconductor manufacturing where the unique electrical and thermal properties of single crystal silver powder are highly valued. Furthermore, the expanding medical device sector and increasing demand for specialized conductive inks contribute to market expansion. Applications in specialized coatings and catalysts also fuel demand. The market faces some restraints, primarily the high cost of production associated with the intricate manufacturing process required to create single crystal structures. However, ongoing research and development efforts focused on improving production efficiency and yield are mitigating this factor. Segmentation within the market exists based on particle size, purity level, and application, providing diverse opportunities for manufacturers. Leading companies, such as DOWA, Mateck, AMERICAN ELEMENTS, and Hunan Mana Materials Technology, are actively shaping market dynamics through innovation and strategic partnerships. Regional variations in growth rates are anticipated, with North America and Asia expected to lead the market due to higher technological adoption rates and stronger industrial growth. Future market expansion will largely depend on technological advancements in materials science and continued growth in electronics and other key application segments.

Check out Market Research Intellect's Silver Nanowires Market Report, valued at USD 450 million in 2024, with a projected growth to USD 1.2 billion by 2033 at a CAGR of 12.5% (2026-2033).

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: Analysts Bullish on Future Gains.

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

Check out Market Research Intellect's Silver Dressing Consumption Market Report, valued at USD 1.5 billion in 2024, with a projected growth to USD 2.1 billion by 2033 at a CAGR of 4.5% (2026-2033).

Check out Market Research Intellect's Silver Wound Dressings Market Report, valued at USD 1.5 billion in 2024, with a projected growth to USD 2.7 billion by 2033 at a CAGR of 8.2% (2026-2033).