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

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

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.

Silver Market Intelligence Dataset (2000–Present)

Silver is one of the most dynamic commodities in global financial markets. It serves both as an industrial metal and a monetary asset, making its price behavior unique compared to other commodities.

This dataset provides historical daily silver prices from 2000 onwards in OHLC format (Open, High, Low, Close). The dataset is suitable for finance research, volatility analysis, and time-series modeling.

The goal of releasing this dataset is to enable researchers, data scientists, and analysts to explore the structural dynamics of silver markets.

Dataset Fields:

Date – Trading date
Open – Opening silver price
High – Highest price during the trading day
Low – Lowest price during the trading day
Close – Closing price of the day

Potential Applications:

• Commodity market research
• Volatility modeling
• Trading strategy development
• Financial time-series forecasting
• Market regime analysis
• Data visualization and exploratory analysis

This dataset is designed specifically for financial data science.

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.

Silver Prices - Historical chart and current data through 2026.

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 Standard Resources stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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.

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

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

This dataset contains 10 years of daily silver futures (SI=F) price data from Yahoo Finance, suitable for time series analysis, machine learning forecasting, and financial research.

📊 Dataset Details

📁 Files Included

1. silver_prices_10y.csv

Raw price data with OHLCV columns.

2. silver_prices_10y_features.csv

Enhanced dataset with technical indicators and features.

Additional Columns:

• MA20, MA50, MA200: Moving averages
• RSI: Relative Strength Index (14-day)
• MACD, MACD_Signal, MACD_Hist: MACD indicators
• BB_Upper, BB_Middle, BB_Lower: Bollinger Bands
• Daily_Return: Percentage daily return
• Volatility_20, Volatility_60: Rolling volatility
• Momentum_7, Momentum_14, Momentum_30: Price momentum
• Close_Lag_*: Lagged closing prices

3. silver_forecast_2026.csv

Model predictions for Q1 2026.

🔬 Use Cases

1. Time Series Forecasting: Predict future silver prices
2. Technical Analysis: Study price patterns and indicators
3. Volatility Modeling: Analyze market risk
4. Algorithmic Trading: Develop trading strategies
5. Economic Research: Study commodity market dynamics

📈 Key Statistics (Sample)

• Average Price: ~$22 USD/oz
• Price Range: $11 - $35 USD/oz
• Average Daily Return: ~0.02%
• Volatility (Annualized): ~25%

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...

Continuously updated Monex bid/ask prices for Silver spot and common bullion products.

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

📉 About Dataset

"The Poor Man's Gold" is Waking Up. Silver is one of the most volatile and traded commodities in the world, serving as both a store of value and a critical industrial material for the Green Energy Transition (Solar/EVs).

This dataset offers a complete, 16-year financial history (2011-2025) of Silver Futures (SI=F). It is professionally cleaned, pre-processed, and ready for high-level Data Science projects.

📂 Dataset Content

The data is sourced via the Yahoo Finance API and structured into two key files:

1. silver_prices_data.csv (The Core Data)

• 3,700+ Rows of daily trading data.
• Columns: Date, Open, High, Low, Close, Adj Close, Volume.
• Span: Jan 2011 – Jan 2026.
• Quality: No duplicates, handled missing values, standard OHLCV format.

🎯 Why Use This Dataset?

• ✅ Perfect for LSTM/RNNs: Long enough timeline to train Deep Learning models.
• ✅ Economic Analysis: Correlate Silver price shocks with historical Inflation or Fed Rate hikes.
• ✅ Signal Processing: Test trading strategies (e.g., RSI Divergence, MACD Crossovers, Bollinger Squeezes).
• ✅ Visualizations: Create stunning Plotly/Matplotlib animations of the commodity supercycle.

🛠 Technical Specifications

• Frequency: Daily (Business Days / Market Open).
• Currency: USD (United States Dollar).
• Source: Yahoo Finance (Ticker: SI=F).
• Timezone: EST (US/Eastern).

💡 Inspiration for Notebooks

• Can you predict the "$50 Silver Squeeze"?
• How does Silver volatility compare to Bitcoin?
• Build a Streamlit Dash app to visualize the 2026 forecast.

🏷️ Keywords (SEO)

Silver, Commodities, Time Series, Finance, Stock Market, Forecasting, Prophet, XGBoost, Deep Learning, LSTM, Economics, Inflation, Gold, Investing, Python, EDA

Maintained by: Mansoor Sarookh License: Database Contents License (DbCL)

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.

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

The live price of SIlver in India at ₹2,38,848.33. Track real-time changes with per kg rate, and charts