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 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.

📉 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)

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 size of the Silver Market was valued at USD 29.4 Billion in 2023 and is projected to reach USD 59.14 Billion by 2032, with an expected CAGR of 10.5% during the forecast period. Recent developments include: Silver market forecasts from 2021 and the upcoming years suggest that most key industrial players focus on exploring new technologies that can be merged with the silver market production. This greatly helps in the purchase of commodities. Several regulatory bodies are implemented for the detection and quality verification of the silver as well that disclose a proper commodity market. Not only consumers but also manufacturers and retailers help with the same. This now provides numerous opportunities for marketers due to the rising demand of the prominent key players of the market like Goldcorp, Gold Fields, and Barrick Gold.. Key drivers for this market are: Growing global population and rising disposable income. Increasing demand for silver in electronics and technology. Concerns about energy security and the need for renewable energy sources.. Potential restraints include: Price volatility and fluctuations in supply and demand. Competition from substitute materials, such as copper and aluminum. Stringent environmental regulations governing silver mining and processing activities.. Notable trends are: Development of new technologies for silver extraction and processing. Rising adoption of silver-based antimicrobial and antibacterial technologies. Growing interest in silver as a sustainable investment asset..

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 purpose of this study was to look at the cointegration, spillover impact, and lead-lag connection for returns across spot price and the futures price of products gold and silver. Everyday spot and futures prices of Gold and Silver, which were heavily exchanged on the Multi Commodity Exchange (MCX) throughout 2019-2020, were used to compile the data for this study. The return series are considered for testing the spillover effect between the series through GARCH (1,1) Model. The series are checked for stationarity before using the GARCH (1,1) model. The ADF (Augmented Dickey Fuller) test was used to examine the return series' stationarity. The Johansen cointegration and Granger causality tests were used to validating the cointegration and lead-lag connection between futures and spot pricing for chosen bullion commodities after the return series was confirmed stationary. The analysis helps to achieve the following Hypotheses: H01: There is no stationarity in the dataset for the chosen bullion commodities. H02: Cointegration between futures and spot prices is not present in the market for the chosen bullion commodities. H03: The futures price is not influenced by the spot price for the chosen bullion commodities. H04: The Spot price is not influenced by the Futures price for the chosen bullion commodities

The finding provides a new view of the series cointegration, lead-lag, and spillover effect. The spot and futures prices of gold and silver are considered for price discovery. It tells derivatives traders that gold and silver are preferable assets for hedgers and speculators to diversify their portfolios.

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

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.

Discover the booming precious metal trading platform market! This in-depth analysis reveals a $15 billion market in 2025, projected to grow at an 8% CAGR through 2033. Learn about key drivers, trends, and top companies shaping this dynamic sector. Explore market segmentation, regional insights, and future opportunities.

View weekly updates and historical trends for COMEX Silver Combined Managed Money Long Positions. Source: US Commodity Futures Trading Commission. Track e…

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

View weekly updates and historical trends for COMEX Silver Futures Open Interest. Source: US Commodity Futures Trading Commission. Track economic data wit…

Japan Commodity Futures: Value: Average: Silver data was reported at 0.032 JPY bn in Oct 2018. This records a decrease from the previous number of 0.042 JPY bn for Sep 2018. Japan Commodity Futures: Value: Average: Silver data is updated monthly, averaging 0.427 JPY bn from May 2004 (Median) to Oct 2018, with 174 observations. The data reached an all-time high of 25.707 JPY bn in Apr 2006 and a record low of 0.025 JPY bn in Oct 2017. Japan Commodity Futures: Value: Average: Silver data remains active status in CEIC and is reported by The Tokyo Commodity Exchange. The data is categorized under Global Database’s Japan – Table JP.Z017: Commodity Futures.

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)

Daily updated commodity and metal prices from global markets.

Silver Prices - Historical chart and current data through 2026.

View weekly updates and historical trends for COMEX Silver Combined Total Reportable Short Positions. Source: US Commodity Futures Trading Commission. Tra…

View weekly updates and historical trends for COMEX Silver Futures Managed Money Long Positions. Source: US Commodity Futures Trading Commission. Track ec…

global_silver_prices_desc - Commodity data from CommoditiesChart.net