Copper rose to 6.08 USD/Lbs on April 17, 2026, up 0.17% from the previous day. Over the past month, Copper's price has risen 9.42%, and is up 32.04% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Copper - values, historical data, forecasts and news - updated on April of 2026.

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.

Copperindex: The Future of Copper Pricing?

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

Of the five largest copper mining companies, U.S. mining company Freeport-McMoRan saw the largest growth in its share price over recent years. Between January 2018 and March 2024, the share price of the Phoenix-based company saw its share price increase by over *** percent. Conversely, over this period, Canada-based mining and metals company First Quantum Minerals saw slight decreases in their share price.

This dataset encapsulates a detailed examination of market dynamics over a five-year period, focusing on the fluctuation of prices and trading volumes across a diversified portfolio. It covers various sectors including energy commodities like natural gas and crude oil, metals such as copper, platinum, silver, and gold, cryptocurrencies including Bitcoin and Ethereum, and key stock indices and companies like the S&P 500, Nasdaq 100, Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta Platforms. This dataset serves as a valuable resource for analyzing trends and patterns in global markets.

Date: The date of the recorded data, formatted as DD-MM-YYYY. Natural_Gas_Price: Price of natural gas in USD per million British thermal units (MMBtu). Natural_Gas_Vol.: Trading volume of natural gas Crude_oil_Price: Price of crude oil in USD per barrel. Crude_oil_Vol.: Trading volume of crude oil Copper_Price: Price of copper in USD per pound. Copper_Vol.: Trading volume of copper Bitcoin_Price: Price of Bitcoin in USD. Bitcoin_Vol.: Trading volume of Bitcoin Platinum_Price: Price of platinum in USD per troy ounce. Platinum_Vol.: Trading volume of platinum Ethereum_Price: Price of Ethereum in USD. Ethereum_Vol.: Trading volume of Ethereum S&P_500_Price: Price index of the S&P 500. Nasdaq_100_Price: Price index of the Nasdaq 100. Nasdaq_100_Vol.: Trading volume for the Nasdaq 100 index Apple_Price: Stock price of Apple Inc. in USD. Apple_Vol.: Trading volume of Apple Inc. stock Tesla_Price: Stock price of Tesla Inc. in USD. Tesla_Vol.: Trading volume of Tesla Inc. stock Microsoft_Price: Stock price of Microsoft Corporation in USD. Microsoft_Vol.: Trading volume of Microsoft Corporation stock Silver_Price: Price of silver in USD per troy ounce. Silver_Vol.: Trading volume of silver Google_Price: Stock price of Alphabet Inc. (Google) in USD. Google_Vol.: Trading volume of Alphabet Inc. stock Nvidia_Price: Stock price of Nvidia Corporation in USD. Nvidia_Vol.: Trading volume of Nvidia Corporation stock Berkshire_Price: Stock price of Berkshire Hathaway Inc. in USD. Berkshire_Vol.: Trading volume of Berkshire Hathaway Inc. stock Netflix_Price: Stock price of Netflix Inc. in USD. Netflix_Vol.: Trading volume of Netflix Inc. stock Amazon_Price: Stock price of Amazon.com Inc. in USD. Amazon_Vol.: Trading volume of Amazon.com Inc. stock Meta_Price: Stock price of Meta Platforms, Inc. (formerly Facebook) in USD. Meta_Vol.: Trading volume of Meta Platforms, Inc. stock Gold_Price: Price of gold in USD per troy ounce. Gold_Vol.: Trading volume of gold

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China Warehouse Stock: Shanghai Future Exchange: Copper data was reported at 318,624.000 Ton in 18 Mar 2026. This records a decrease from the previous number of 324,289.000 Ton for 17 Mar 2026. China Warehouse Stock: Shanghai Future Exchange: Copper data is updated daily, averaging 43,946.000 Ton from Oct 2008 (Median) to 18 Mar 2026, with 4240 observations. The data reached an all-time high of 326,327.000 Ton in 12 Mar 2026 and a record low of 753.000 Ton in 07 Nov 2023. China Warehouse Stock: Shanghai Future Exchange: Copper data remains active status in CEIC and is reported by Shanghai Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Stock.

Understand what drives the copper price on stock markets. Learn how to interpret its signal for the global economy, key factors to watch in 2026, and its role beyond...

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

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.

Copperindex: The Key to Understanding Copper's Future?

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

View monthly updates and historical trends for Copper Price. Source: World Bank. Track economic data with YCharts analytics.

Copper pricing data segmented across market-relevant keyword clusters for live, ounce-based, and spot value analysis.

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.

Is Copper's Index a Reliable Guide?

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

Capstone Copper Corp stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Recycled Copper Market size, share, and trend analysis indicates growth from USD 14.1 Billion in 2025 to USD 23.4 Billion by 2035, at a CAGR of 5.2%

About This Dataset: Copper Spot Value

This dataset explores detailed trends and pricing benchmarks related to copper spot value, a high-interest topic for traders and investors alike. Including terms such as copper spot value • cost of copper • value of copper • live copper spot • copper real-time pricing, it offers clarity on both current rates and market dynamics.

Key data components include: - Real-time pricing indicators - Historical pricing data - Metal value comparisons

To explore these insights and view live data, visit the Copper Pricing Tool. This cluster garners 8,230 monthly searches, highlighting its importance in commodities analysis.

In 2021, the average annual market price of copper peaked at ***** U.S. dollars per metric ton, before slightly decreasing in 2022 and 2023, when its average price was ***** U.S. dollars. In 2024, the price rose again to ***** U.S. dollars per metric ton. Copper consumption Copper is a base metal that has a wide variety of uses, which makes it an important commodity. Equipment production generally accounts on average for one third of copper consumption, making it the largest global end use of copper. The country with the highest demand for copper as of 2023 was China, with a demand amounting to nearly ********** metric tons of copper. Following China was Europe, with a total demand of just over *********** metric tons. Copper market prices The London Metal Exchange and Comex both provide market prices for copper. In 2023, the copper price for the London Metal Exchange was about *** U.S. cents per pound. The average Comex price in 2022 was estimated to be about *** U.S. cents per pound.

ODS Copper Market size, share, and trend analysis indicates growth from USD 3.68 Billion in 2025 to USD 6.11 Billion by 2035, at a CAGR of 5.2%

The Copper Market Report is Segmented by Source (Mining and Recycling), End-Use Industry (Building Construction, Infrastructure, Industrial, Transportation, Consumer Products and Electronic Equipment, and Others), and Geography (Asia-Pacific, North America, Europe, South America, and Middle East and Africa). The Market Forecasts are Provided in Terms of Volume (Tons).

The Recycled Copper Market Report is Segmented by Copper Type (Pure Copper and Copper Alloys), Source (Post-Consumer Scrap and Industrial Scrap), Process (Mechanical, Pyrometallurgical, and More), End-User Industry (Electrical and Electronics, and More), and Geography (Asia-Pacific, North America, and More). The Market Forecasts are Provided in Terms of Volume (Tons).

The provided dataset is a CSV file titled "US Stock Market Dataset" containing financial data for various stocks and indices from January 1, 2020, to January 26, 2024. The dataset includes the following columns: Date Natural Gas Price Natural Gas Vol. Crude Oil Price Crude Oil Vol. Copper Price Copper Vol. Bitcoin Price Bitcoin Vol. Platinum Price Platinum Vol. Ethereum Price Ethereum Vol. S&P 500 Price Nasdaq 100 Price Nasdaq 100 Vol. Apple Price Apple Vol. Tesla Price Tesla Vol. Microsoft Price Microsoft Vol. Silver Price Silver Vol. Google Price Google Vol. Nvidia Price Nvidia Vol. Berkshire Price Berkshire Vol. Netflix Price Netflix Vol. Amazon Price Amazon Vol. Meta Price Meta Vol. Gold Price Gold Vol. Bitcoin Price (5 Minute) Bitcoin Vol. (5 Minute)

About This Dataset: Price Of Copper Per Ounce

This dataset explores detailed trends and pricing benchmarks related to price of copper per ounce, a high-interest topic for traders and investors alike. Including terms such as price of copper per ounce • copper price per ounce • copper per oz • price copper ounce • value of copper per ounce, it offers clarity on both current rates and market dynamics.

Key data components include: - Real-time pricing indicators - Historical pricing data - Metal value comparisons

To explore these insights and view live data, visit the Copper Pricing Tool. This cluster garners 13,650 monthly searches, highlighting its importance in commodities analysis.