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 - Historical chart and current data through 2026.

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.

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 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 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.

Dataset of historical annual silver prices from 1970 to 2022.

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 prices (SI=F) from January 2016 to January 2026. Silver is one of the most important precious metals, serving both as an investment vehicle and a critical industrial commodity.

Data Source

• Provider: Yahoo Finance API (yfinance)
• Ticker Symbol: SI=F (COMEX Silver Futures)
• Collection Date: January 2026
• Update Frequency: Historical dataset (static)

Dataset Contents

Files Included:

1. silver_prices_data.csv - Raw historical price data
2. silver_price_forecast_2026.csv - Daily price predictions for Q1 2026 (Jan, Feb, March)

View monthly updates and historical trends for Silver Price. Source: International Monetary Fund. Track economic data with YCharts analytics.

GOLD & SILVER PRICES : 1791 - 2020

Yearly prices of the two infamous Ornamental Metals

Content

4 Columns namely Year,Gold Price, Silver Price,Ratio of Gold and Silver prices.

Prices of Gold and Silver in years 1791 to 2020. A column for Gold/Silver is also provided. The prices are in New York Market Price. U.S. dollars per fine ounce

Acknowledgements

For data : www.measuringworth.com/datasets/gold/result.php For correction and validation : www.finfacts.ie/Private/curency/goldmarketprice.htm , https://sdbullion.com/silver-price-history

📉 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)

234 years of silver spot price data from 1792 to 2026. Over 16,000 data points.

Silver price history and data. Latest: $81.95. All-time high: $87.00 (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.

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

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 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.

Complete day-by-day historical record of silver prices in Nepal across 3943 daily entries. Includes silver rates per tola and per 10 grams sourced from the Federation of Nepal Gold and Silver Dealers' Association.

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)