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.

𝐓𝐡𝐢𝐬 𝐝𝐚𝐭𝐚𝐬𝐞𝐭 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐬 𝐡𝐢𝐬𝐭𝐨𝐫𝐢𝐜𝐚𝐥 𝐰𝐞𝐞𝐤𝐥𝐲 𝐩𝐫𝐢𝐜𝐞 𝐨𝐟 𝐬𝐢𝐥𝐯𝐞𝐫 𝐟𝐫𝐨𝐦 𝟐𝟎𝟏𝟐 𝐭𝐨 𝟐𝟎𝟐𝟑. 𝐓𝐡𝐞 𝐝𝐚𝐭𝐚 𝐢𝐬 𝐬𝐨𝐮𝐫𝐜𝐞𝐝 𝐟𝐫𝐨𝐦 𝐈𝐧𝐯𝐞𝐬𝐭𝐢𝐧𝐠.𝐜𝐨𝐦

The dataset includes the following columns:

𝟭.𝗗𝗮𝘁𝗲: The date of the silver price 𝟮.𝗣𝗿𝗶𝗰𝗲: The closing price of silver in the week 𝟯.𝗢𝗽𝗲𝗻: The opening price of silver in the week 𝟰.𝗛𝗶𝗴𝗵: The highest price of silver in the week 𝟱.𝗟𝗼𝘄: The lowest price of silver in the week

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.

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

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%

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 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

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.

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.

📉 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)

This statistic depicts the average annual prices for silver from 2014 through 2026*. In 2024, the average price for silver stood at 28.3 nominal U.S. dollars per troy ounce.

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.

Silver Price: USD data was reported at 14.560 USD/oz in Sep 2018. This records a decrease from the previous number of 14.910 USD/oz for Aug 2018. Silver Price: USD data is updated monthly, averaging 6.100 USD/oz from Dec 1985 (Median) to Sep 2018, with 394 observations. The data reached an all-time high of 48.150 USD/oz in Apr 2011 and a record low of 3.558 USD/oz in Feb 1993. Silver Price: USD data remains active status in CEIC and is reported by Swiss National Bank. The data is categorized under Global Database’s Switzerland – Table CH.P001: Precious Metals Prices.

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

Dataset Description

This dataset contains 10 years of historical silver futures (SI=F) daily price data sourced from Yahoo Finance. It includes comprehensive OHLCV (Open, High, Low, Close, Volume) data ideal for time series analysis, machine learning, and financial research.

Key Features: - 10+ years of daily trading data - Clean, preprocessed data ready for analysis - Covers major market shifts, including the recent silver demand surge - Ideal for: - Time series forecasting - Technical analysis - Machine learning experimentation - Educational and research purposes

Files Included

1. silver_historical_data.csv - Raw historical price data
2. silver_prices.ipynb - Complete analysis notebook with:
   • Exploratory Data Analysis (EDA)
   • Visualizations (candlestick, moving averages, volatility)
   • Machine Learning models (Random Forest, XGBoost, ARIMA)
   • Price forecast until March 2026
3. silver_forecast_2026.csv - Predicted prices (generated by notebook)

In 2025, the price of platinum is forecast to hover around ***** U.S. dollars per troy ounce. Meanwhile, the cost of per troy ounce of gold is expected to amount to ***** 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 ***** 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 **** 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 **** 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 ***** U.S. dollars per ounce, making it the most expensive precious metal in 2023.

Continuously updated Monex bid/ask prices for spot metals and common bullion bars and coins.