Silver rose to 69.59 USD/t.oz on March 27, 2026, up 2.24% from the previous day. Over the past month, Silver's price has fallen 22.06%, but it is still 104.13% higher than a year ago, 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 March of 2026.

Silver prices Jan 2026: China USD 102/MT, India USD 210/MT, USA USD 187/MT. Market outlook.

Silver Prices Historical Data & 2026 Forecast.

📋 Dataset Overview

This dataset contains 10 years (2016-2026) of daily silver futures (SI=F) prices sourced from Yahoo Finance, along with machine learning-based price forecasts for Q1 2026.

1.**silver_prices_historical.csv** - The data was extracted using the yfinance library and includes 10 years of price data (2016–2026). 2.**silver_prices_forecast_2026.csv** - The analysis is based on price forecasts for Q1 2026.

🔬 Analysis Performed

1. Exploratory Data Analysis (EDA)

   • Price trends and patterns
   • Volume analysis
   • Volatility assessment
   • Seasonality detection

2. Time Series Decomposition

   • Trend extraction
   • Seasonal components
   • Residual analysis

3. Machine Learning Models

   • Prophet: Time series forecasting with yearly/weekly seasonality
   • XGBoost: Feature-based regression with lag features

4. Model Evaluation

   • MAE (Mean Absolute Error)
   • RMSE (Root Mean Square Error)
   • MAPE (Mean Absolute Percentage Error)

📈 Key Insights

• Silver showed strong upward trend, especially during economic uncertainty
• Seasonal patterns: Higher prices typically in Q4 and Q1
• 2026 shows elevated prices due to industrial demand (solar, EVs)
• XGBoost achieved ~2-5% MAPE on test data

Silver prices updated in real-time. Track the silver spot price in GBP, USD, EUR, JPY, AUD, CAD & CHF >>

Money Metals' Silver Price History dataset presents a detailed record of historical silver price trends, showing how past market cycles, currency shifts, and inflation have influenced today's silver market and providing a direct reference for current silver prices.

The dataset includes interactive historical price series that capture daily spot prices over the last 20 years, enabling users to hover or query specific dates for precise pricing and compare short-term volatility with long-term trajectories to assess silver purchases and sales more effectively.

Comprehensive contextual fields describe major drivers of silver prices, such as supply and demand, global monetary policy, currency devaluation, stock market conditions, and geopolitical events, clarifying the relationship between macroeconomic shocks and both sudden price spikes and prolonged downturns.

Background information documents silver as an investment, its role as a store of value, and its use in coins, bullion bars, rounds, ETFs, and IRAs, illustrating why silver has historically functioned as a hedge against inflation and economic uncertainty for diversified portfolios.

Key informational elements captured in the Silver Price History dataset include:

• Live and historical spot prices for silver with chart-ready time series and customizable date ranges.

• Explanations of factors that move the silver market, from interest rates and monetary expansion to industrial demand in solar and electronics.

• Practical guidance on spot pricing, chart interpretation, and dealer premiums relevant when users buy silver.

Additional documentation outlines how negative real interest rates, de-dollarization efforts, and industrial demand from sectors like solar energy and electronics interact with silver price history, enabling alignment of analytical models with broader macroeconomic patterns.

Methodological notes summarize how spot prices are formed on COMEX and other futures exchanges, why retail bullion premiums exist over spot, and how conditions in physical markets can diverge from quoted paper prices, providing essential structure for accurate modeling and backtesting.

Overall, the Silver Price History dataset offers a structured foundation for benchmarking historical highs and lows, studying the impact of financial crises and policy changes, and evaluating silver's performance versus other assets in risk analysis, asset allocation, and long-term precious metals research.

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

Silver Prices - Historical chart and current data through 2026.

This dataset contains 10 years of historical daily price data for Silver Futures (Ticker: SI=F) fetched from Yahoo Finance, covering the period from January 17, 2016, to March 31, 2026.

The data is ideal for: - Time Series Forecasting: Predicting future silver prices using ARIMA, Prophet, or LSTM. - Exploratory Data Analysis (EDA): analysing volatility, moving averages, and seasonal trends. - Financial Modelling: Understanding the correlation between silver prices and market events. - The dataset contain two types 1. 10 years of Historical data Silver Prices Analysis 2. Forecasting Silver Prices

Acknowledgements

Data was fetched using the yfinance Python library.

Explore short and medium-term Silver price forecast analysis and check long-term Silver predictions for 2026, 2030, and beyond.

Silver prices in , February, 2026 For that commodity indicator, we provide data from January 1960 to February 2026. The average value during that period was 10.06 USD per troy ounce with a minimum of 0.91 USD per troy ounce in January 1960 and a maximum of 92.06 USD per troy ounce in January 2026. | TheGlobalEconomy.com

The United States market for silver, including silver plated with gold or platinum, represents a critical node in the global precious metals ecosystem. Characterized by substantial consumption, significant import reliance, and a complex interplay of industrial and investment demand drivers, the market exhibits unique dynamics. This analysis provides a comprehensive examination of the U.S. market's size, structure, and key trends, drawing on detailed trade, price, and competitive intelligence.

In Q3 2025, North America, the Silver Price Index rose quarter-over-quarter, driven by inflation hedging and robust consumer spending. Check detailed insights for Europe and APAC.

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 dataset provides a comprehensive 10-year historical record of Silver Futures (SI=F) prices, spanning from January 2016 to January 2026. It captures the daily trading activity of one of the world's most critical precious metals and industrial commodities.

The dataset includes daily Open, High, Low, Close (OHLC) prices, along with Volume and Adjusted Close values. This long-term window allows for in-depth analysis of market trends, volatility, seasonality, and the impact of global economic events on silver prices.

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.

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 global market for silver, including silver plated with gold or platinum, represents a critical nexus of industrial, investment, and luxury demand. This report provides a comprehensive analysis of the market's structure, dynamics, and trajectory from a 2026 vantage point, projecting trends through to 2035. The landscape is characterized by a complex interplay between mature industrial applications in developed economies and rapidly growing demand within emerging markets for jewelry and investment product

This dataset contains daily silver price data from January 2016 to January 2026, covering a full decade of commodity market activity across diverse macroeconomic regimes — from pre-pandemic stability, through the March 2020 crash and subsequent surge, to the high-volatility environment of 2022–2026. Each record corresponds to a single trading day and includes core OHLCV fields (Open, High, Low, Close, Volume) alongside derived technical indicators such as rolling moving averages (MA_20, MA_50, MA_200), Daily_Return as a percentage change, and 20-day realized Volatility_20. Calendar decomposition features (Year, Month, Day_of_Week, Quarter) are included to support temporal analysis and feature engineering pipelines. Silver exhibits unique dual-market characteristics — functioning simultaneously as a monetary asset (correlated with gold, USD, and interest rate expectations) and an industrial commodity (demand driven by photovoltaics, electronics, and medical applications). This makes it a particularly rich subject for multifactor analysis and regime-detection studies. The dataset is well-suited for exploratory data analysis, time series forecasting (ARIMA, LSTM, Prophet), technical signal backtesting, and volatility modeling (GARCH). It can also serve as a benchmark or companion dataset alongside gold, crude oil, and currency time series for multi-asset correlation studies.

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

Note: Standard Gold means Gold having fineness 995 parts per thousand (%) and above

This comprehensive dataset contains 26 years of daily Silver futures (SI=F) trading data from August 2000 to January 2026, sourced from Yahoo Finance. With over 6,300 trading days and pristine data quality, this dataset is ideal for advanced financial analysis, machine learning model development, and time series forecasting.

What's Included:

• 6,380+ daily records spanning 2000-2026
• OHLCV data: Open, High, Low, Close prices, and Volume
• Clean, ready-to-use format with no missing values
• Full precision financial data (as scraped from yfinance API)
• Chronologically sorted for time series analysis

Perfect For:

• 📊 Time Series Forecasting - ARIMA, SARIMA, Prophet, LSTM
• 🤖 Machine Learning Projects - XGBoost, LightGBM, Random Forest
• 📈 Technical Analysis - RSI, MACD, Bollinger Bands, Moving Averages
• 💹 Trading Strategy Development - Backtesting and optimization
• 🎓 Educational Projects - Learn financial data science
• 📉 Market Analysis - Trend identification, seasonality detection
• 🔬 Research - Academic studies on commodity markets