Explore the future price predictions of silver over the next five years, influenced by industrial demand, economic conditions, and geopolitical events. Learn how advances in technology, renewable energy trends, and global economic factors might drive silver prices, offering insights into potential market volatility and growth.

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.

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).

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.

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

Explore the complexities of silver price prediction, influenced by industrial demand, investment interest, geopolitical factors, and mining outputs. Understand how analysts use various tools to estimate future price movements amidst market uncertainties.

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.

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.

According to Cognitive Market Research, the global silver bullion market size is USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of 4.00% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.2% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD XX million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.0% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.4% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD XX million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
The US had the most significant global silver bullion market revenue share in 2024.

Market Dynamics of Silver Bullion Market

Key Drivers of Silver Bullion Market

Increasing Demand for Safe Haven Investments

The increasing wish for safe haven investments is driving the market for silver bullion to continue growing. Investors look for assets that deliver stability and wealth preservation throughout difficult economic, geopolitical, and market situations. Due to its inherent worth and historical importance as a wealth vault, silver is drawing more and more attention from investors trying to diversify their holdings and protect themselves from inflation and currency depreciation. The COVID-19 pandemic's aftereffects, trade disputes, and geopolitical tensions have all contributed to the current state of the global economy, which has raised investor anxieties and increased demand for silver bullion. Concerns about possible inflationary pressures are developing as governments execute large stimulus programs and central banks adopt loose monetary policies; this is pushing investors into physical assets like silver.

Increasing Industrial Applications Will Promote Market Expansion

The market for silver bullion is also expected to rise significantly due to the growing number of industrial uses. Due to its special qualities, which include its high conductivity, malleability, and resistance to corrosion, silver is used in a wide range of industries, including electronics, healthcare, automotive, and renewable energy. The industrial demand for silver is anticipated to grow in the upcoming years due to technological developments and advancements boosting demand in developing applications including solar panels, electric vehicles, and 5G technology. Silver's industrial demand is further bolstered by its antibacterial characteristics, which render it increasingly desirable in therapeutic applications. The market for silver bullion is expected to increase steadily as long as industries keep innovating and creating new goods that need silver. Investors who are eager to profit from the growing industrial need for this precious metal will be drawn to this market.

Restraint Factors Of Silver Bullion Market

Volatility in Precious Metal Prices will hinder market growth.

The price volatility of precious metals can have a substantial impact on the development of the silver bullion market. The price of silver can vary due to changes in currency values, geopolitical tensions, and global economic conditions. Investors get indeterminate as a result of these swings, which could make them unwilling to buy silver bullion. Investors who bought silver at higher prices may lose money as a result of abrupt price reductions, which could affect market liquidity and confidence. Businesses that use silver as a raw resource, such as manufacturers, face difficulties due to the unpredictable nature of silver pricing. Businesses may find it challenging to correctly manage expenses and plan production schedules in the face of shifting silver prices. Price variations can disrupt the supply chain, as suppliers and buyers are driving the changing market conditions.

Market participants may use hedging techniques or look for alternate investments to lessen the impact of price volatility, which could result in money being taken out of...

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 dataset offers detailed, up-to-date information on precious metals futures. Futures are financial contracts obligating the buyer to purchase, and the seller to sell, a particular precious metal (such as gold, silver, platinum, etc.) at a predetermined future date and price.

Use Cases: 1. Trend Analysis: Examine patterns and price movements to predict future market behaviors. 2. Academic Research: Study the historical behavior and impact of global events on metal prices. 3. Trading Strategies: Design and validate trading techniques based on precious metals futures. 4. Risk Management: Use the data for hedging decisions and risk management for businesses involved in mining or trading precious metals.

Credits Dataset Image: Photo by Zlaťáky.cz: https://www.pexels.com/photo/close-up-shot-of-gold-bars-and-coins-8442334/

Column Descriptions: 1. Date: The date the data was recorded. Format YYYY-MM-DD. 2. Open: Market opening price. 3. High: Highest price during the trading day. 4. Low: Lowest price during the trading day. 5. Close: Market closing price. 6. Volume: Number of contracts traded during the day. 7. Ticker: Market quotation symbol for the future. 8. Commodity: Name of the precious metal the future refers to.

Explore the factors behind silver's surge past $33, driven by robust safe-haven demand and industrial advancements.

Silver prices have hit a fourteen-year high, driven by supply-demand dynamics and geopolitical factors. Explore the trends and potential for further growth in the silver market.

Discover the booming silver market's future! This comprehensive analysis reveals a CAGR exceeding 5%, driven by jewelry, electronics, and investment demand. Explore key trends, restraints, and regional breakdowns for the period 2019-2033. Learn which companies are leading the charge and how this precious metal's future is shaping up. Recent developments include: April 2023: Impact Silver Corp. announced the completion of the share purchase and sale agreement with Consolidated Zinc Limited of Australia, the purchase of all outstanding shares of its subsidiary, Minera Latin America Zinc S.A.P.I de C.V., which holds a 100% interest in the high-grade, Plomosas zinc-lead-silver mine in the state of Chihuahua, northern Mexico. The agreement consists of a total price of USD 6 million out of which USD 3 million is to be given in cash and the balance in the form of IMPACT shares., March 2023: Pan American Silver Corp announced the USD 4.8 billion acquisition of all the issued and outstanding common shares of Yamana Gold, following the sale by Yamana of its Canadian assets, including certain subsidiaries and partnerships. With this acquisition, the company expects a material increase in the production of silver and gold, while also continuing to provide a preferred way to invest in silver through large silver mineral reserves and growth opportunities.. Key drivers for this market are: Increasing Demand for Silver in Industrial and Electrical Applications, Rising Demand for Silver in Jewelry and Silverware. Potential restraints include: Increasing Demand for Silver in Industrial and Electrical Applications, Rising Demand for Silver in Jewelry and Silverware. Notable trends are: Electrical and Electronics Application to Dominate.

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.

Gold–Silver Pair Trading Dataset and Visualization

Author: Vineet Kumar Mittal Version: 1.0 Date: November 2025 DOI: https://doi.org/10.5281/zenodo.17537028

Overview

This repository contains the full dataset and visual analytics used in the study: "Gold–Silver Pair Trading: Mean Reversion Strategy Using Machine Learning."

It includes: - Historical gold and silver futures data (raw) - Processed dataset with spreads, ratios, and Z-scores - Key analysis charts (hedge ratio, spread, equity curve, etc.) - Reproducibility and licensing information

Contents

1. Main Analytical Dataset

File: gold_silver_live_panel.csv
Description:
Processed data containing gold/silver prices, ratio, spread, rolling statistics, and Z-scores used for the study's analysis and backtesting.

Column Definitions: See below for detailed description of each field included in gold_silver_live_panel.csv.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F30232042%2F4b0cf366a892c352a775411296a97f02%2FScreenshot%202025-11-08%20083140.jpg?generation=1762608723135200&alt=media" alt="">

2. Raw Historical Data

Files: - Gold Futures Historical Data_2015_2025.csv
- Silver Futures Historical Data_2015_2025.csv

Description:
Raw daily closing prices used to compute the ratio, spread, and other derived features.
Data sourced from Investing.com (continuous Gold and Silver Futures contracts).

Covers 2015–2025, daily frequency (excluding weekends and market holidays).

3. Visualization Outputs (Figures)

Please use below DOI to see all the figures and data.

DOI: https://doi.org/10.5281/zenodo.17537028

4. Citation

If you use this dataset, please cite:

Mittal, V. K. (2025). Gold Silver Pair Trading - Mean Reversion Strategy Using Machine Learning (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17537028

5. License

Creative Commons Attribution 4.0 International (CC BY 4.0)

You are free to use, distribute, and build upon this dataset for academic and non-commercial research purposes, provided proper attribution is given.

6. Contact

For queries, collaborations, or extended analysis: Vineet Kumar Mittal

Content

Historical daily prices of gold and silver since 1962 to now. Price per ounce in USD.

Acknowledgements

Data obtained from LBMA

Inspiration

You try different things on this dataset:

• predict the future price of gold and silver
• study the correlation between gold and silver
• combine with other datasets such as stocks and crypto currencies datasets to get insightsLBMA

China Settlement Price: Shanghai Future Exchange: Silver: 4th Month data was reported at 13,482.000 RMB/kg in 02 Dec 2025. This records an increase from the previous number of 13,106.000 RMB/kg for 01 Dec 2025. China Settlement Price: Shanghai Future Exchange: Silver: 4th Month data is updated daily, averaging 3,724.000 RMB/kg from May 2012 (Median) to 02 Dec 2025, with 3298 observations. The data reached an all-time high of 13,482.000 RMB/kg in 02 Dec 2025 and a record low of 2,932.000 RMB/kg in 19 Mar 2020. China Settlement Price: Shanghai Future Exchange: Silver: 4th Month data remains active status in CEIC and is reported by Shanghai Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Settlement Price: Daily.

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