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.

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 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

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

Germany Commodity Price: Precious Metals: Silver data was reported at 56.607 USD/Troy oz in 28 Nov 2025. This records an increase from the previous number of 53.450 USD/Troy oz for 27 Nov 2025. Germany Commodity Price: Precious Metals: Silver data is updated daily, averaging 15.223 USD/Troy oz from Jan 2013 (Median) to 28 Nov 2025, with 3276 observations. The data reached an all-time high of 56.607 USD/Troy oz in 28 Nov 2025 and a record low of 11.859 USD/Troy oz in 18 Mar 2020. Germany Commodity Price: Precious Metals: Silver data remains active status in CEIC and is reported by Deutsche Börse Group. The data is categorized under Global Database’s Germany – Table DE.P: Commodity Prices. [COVID-19-IMPACT]

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..

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.

The global precious metal trading platform market is experiencing robust growth, driven by increasing investor interest in gold, silver, platinum, and palladium as safe-haven assets and diversification tools. The market size in 2025 is estimated at $15 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This growth is fueled by several key factors. Technological advancements, including the rise of mobile trading apps and sophisticated charting tools, are making precious metal trading more accessible to a wider range of investors. Furthermore, the increasing volatility in global financial markets is prompting investors to seek refuge in precious metals, bolstering demand for platforms facilitating their trading. Regulatory changes aiming to improve market transparency and investor protection are also indirectly supporting market expansion. However, challenges remain, including potential regulatory hurdles in specific regions and the inherent risks associated with volatile commodity markets. The market is segmented by platform type (web-based, mobile-based), trading style (spot, futures, options), and investor type (retail, institutional). Key players like GAIN Global Markets Inc., AxiTrader Limited, LMAX Global, IG Group, and CMC Markets are vying for market share through innovation, strategic partnerships, and expansion into new geographic markets. Competition is intense, forcing providers to continuously enhance their offerings and improve customer experience to retain a competitive edge. The forecast period of 2025-2033 presents significant opportunities for expansion, particularly in emerging markets with growing retail investor bases. The continued growth of the precious metal trading platform market is projected to be influenced by several ongoing trends. The increasing adoption of artificial intelligence (AI) and machine learning (ML) for algorithmic trading and risk management is expected to further enhance the efficiency and sophistication of trading platforms. The integration of blockchain technology for improved security and transparency is also gaining traction. However, potential restraints include cybersecurity threats, the need for robust compliance frameworks, and the ongoing evolution of investor preferences which necessitate platform adaptation. The expanding availability of educational resources and improved investor awareness about precious metals trading is expected to positively impact market growth. Furthermore, strategic mergers and acquisitions within the industry are likely to reshape the competitive landscape. Geographic expansion into underpenetrated regions, coupled with the development of tailored products to meet the specific needs of diverse investor segments, will be crucial for achieving sustained growth in the coming years.

Explore the dynamics influencing silver as a commodity, including industrial demand, economic cycles, monetary policies, and supply-side factors. Understand how these aspects impact silver's price fluctuations and its role as an investment opportunity.

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 >>

global_silver_prices_desc - Commodity data from CommoditiesChart.net

Daily updated commodity and metal prices from global markets.

This dataset contains historical daily closing prices for significant natural resource futures contracts. It includes comprehensive data covering a range of key commodities such as Crude Oil (WTI and Brent), Gold, Silver, Natural Gas, Corn, Wheat, Soybean, Copper, Platinum, and Palladium.

The dataset provided is particularly suitable for a variety of analytical and predictive purposes, including:

Market trend analysis and visualization to understand price fluctuations and long-term cycles.

Economic research to assess the impact of economic events, policy changes, or supply-demand dynamics on commodity prices.

Building forecasting models, including machine learning and time series predictive analytics, to predict future price movements.

Portfolio optimization and risk management by analyzing commodity correlations and volatility.

Educational purposes, offering practical datasets for training students in economics, finance, statistics, and data science courses.

Due to the nature of historical data collection, certain entries may be missing. For example, there is an instance where an entire month of Platinum price data is absent. Such missing data points can typically be handled effectively by imputing values—calculating an average between the last known entry and the subsequent available entry—without negatively impacting the integrity of analytical studies.

Silver surges to all-time high above $49/oz, tracking gold's rally amid economic uncertainty and strong investor demand, with 65% YTD growth.

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 dataset contains historical price data for seven essential metals traded on the Multi Commodity Exchange (MCX) India: Gold, Silver, Lead, Zinc, Copper, Nickel, and Aluminum. The data is meticulously collected to support prediction models, trend analysis, and statistical exploration of metal price movements.

The dataset includes: - Daily price data for 7 metals - Open price, high/low values, and closing prices - Data across multiple periods, useful for preliminary exploration, model training, and analysis

Description for each column in the dataset: 1. Date: The date on which the market data was recorded (format: DD-MM-YYYY). 2. Price: The closing price of Copper on the given date, reflecting the last traded price of the day. 3. Open: The opening price of Copper at the start of trading on the given date. 4. High: The highest price Copper reached during the trading day. 5. Low: The lowest price Copper traded at during the day. 6. Vol. (Volume): The total volume of Copper traded on the given day, typically in thousands (K). 7. Change %: The percentage change in the closing price from the previous trading day.

Unprecedented short squeeze in London drives silver prices past $50, causing liquidity crisis and forcing traders to use air transport for bullion.

Context

Extracted data from Investing .com by building a web scraper which could extract data if Start and End Date are given as parameters. You could find the scaper code here. Copper ,Gold, Crude Oil , Brent Oil , Natural Gas, Silver Prices variation of each of the commodities from the last 10 Years .

Copper

Copper prices are up 20% year to date, supported in part by a rebounding economy in the U.S. and other parts of the world as the pandemic comes under control. Improving economies are key to copper demand since it's an industrial metal that's a good conductor of electricity. Copper is found in a host of items from air conditioning units and televisions to cars. The base metal may also benefit from President Joe Biden's infrastructure plan and the growing appetite for electric vehicles. That's spurred investor interest in the red metal, but buyers need to do plenty of research. Commodities are unlike traditional stock and bond investing, as these markets have different fundamental drivers that affect pricing.

Gold

Gold has traditionally been regarded as a superior investment asset. It has become a safe haven for investors all around the world in recent years. Gold, in particular, possesses all of the characteristics that a traditional investor seeks in an asset class. Investing in gold has always shown to be a successful approach to combat inflation.

Crude Oil

Crude oil is at the heart of many global industries. It is the power that moves most vehicles, allows factories to operate and is used to generate electricity. Oil’s importance to mankind has made it a valuable commodity for many companies and countries. Along with its derivatives, crude oil is the most traded commodity in the world.

Brent Oil

Brent oil is a major benchmark price for purchases of oil worldwide. While Brent Crude oil is sourced from the North Sea the oil production coming from Europe, Africa and the Middle East flowing West tends to be priced relative to this oil. The Brent prices displayed in Trading Economics are based on over-the-counter (OTC) and contract for difference (CFD) financial instruments. Our market prices are intended to provide you with a reference only, rather than as a basis for making trading decisions. Trading Economics does not verify any data and disclaims any obligation to do so.

Natural Gas

The US Energy Information Administration says natural gas is the most widely used fuel for space heating in the US, and it has also started to beat out coal as the top fuel for power generation. Even so, demand for natural gas around the world can be volatile as it is very much dependent on the weather.

Silver

Silver may be used as an investment like other precious metals. It has been regarded as a form of money and store of value for more than 4,000 years, although it lost its role as legal tender in developed countries when the use of the silver standard came to a final end in 1935.

Acknowledgements

For this dataset I depended upon Investing.com to scrape the data . It's the premier source for financial, economic, and alternative datasets, serving investment professionals. Investing’s platform is used by over 400,000 people, including analysts from the world’s top hedge funds, asset managers and investment banks.

Context

Silver is one of the world's most closely watched commodities, serving as a key indicator of economic health, a hedge against inflation, and a cornerstone of financial markets. Access to clean, reliable, and long-term historical data is essential for analysts, investors, and data scientists looking to understand its behavior, forecast future trends, and build robust financial models.

This dataset provides a comprehensive and daily-updated record of silver prices, specifically sourced from the Silver Futures (SI=F) market, which is the standard for long-term historical analysis.

Content

This dataset contains daily price information for Silver Futures (SI=F) in a clean, tabular format. Each row represents a single trading day and includes the following columns:

Date: The date of the trading session (YYYY-MM-DD).

Open: The price at which silver first traded for the day in USD.

High: The highest price reached during the trading day in USD.

Low: The lowest price reached during the trading day in USD.

Close: The closing price at the end of the trading day in USD.

Volume: The total number of futures contracts traded during the day.

Monthly and long-term silver price data (US$/toz): historical series and analyst forecasts curated by FocusEconomics.