Copper rose to 4.42 USD/Lbs on August 1, 2025, up 0.29% from the previous day. Over the past month, Copper's price has fallen 14.18%, but it is still 7.63% higher than a year ago, 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 August of 2025.

The copper price on the stock market is highly influential and often considered a leading indicator of economic strength and activity. This article explores the factors influencing copper price, its implications, and its role as an investment option.

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 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

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

China Warehouse Stock: Shanghai Future Exchange: Copper data was reported at 29,157.000 Ton in 13 May 2025. This records an increase from the previous number of 20,084.000 Ton for 12 May 2025. China Warehouse Stock: Shanghai Future Exchange: Copper data is updated daily, averaging 50,442.500 Ton from Oct 2008 (Median) to 13 May 2025, with 4034 observations. The data reached an all-time high of 268,889.000 Ton in 13 Jun 2024 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.

In June 2025, the average monthly price for copper stood at over ***** U.S. dollars per metric ton. This is down from a monthly high exceeding ****** U.S. dollars in March 2024, which was among the highest monthly values observed in the past decade.

Understanding copper metal stocks is crucial for gauging supply-demand dynamics and potential price movements. This article explains the sources of copper metal stocks, their importance, and the monitoring process, providing valuable insights for investors, traders, and policymakers.

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. 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 2022 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.

China Stock: Deliverable: Shanghai Futures Exchange: Copper data was reported at 80,705.000 Ton in 09 May 2025. This records a decrease from the previous number of 89,289.000 Ton for 30 Apr 2025. China Stock: Deliverable: Shanghai Futures Exchange: Copper data is updated daily, averaging 152,716.500 Ton from Dec 2014 (Median) to 09 May 2025, with 516 observations. The data reached an all-time high of 394,777.000 Ton in 18 Mar 2016 and a record low of 26,149.000 Ton in 01 Dec 2023. China Stock: Deliverable: Shanghai Futures 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.

About This Dataset: Copper Prices and Market Trends

    This dataset provides **insights into copper prices**, including current rates, historical trends, and key factors affecting price fluctuations. Copper is essential in **construction**, **electronics**, and **transportation** industries. Investors, traders, and analysts use accurate copper price data to guide decisions related to **trading**, **futures**, and **commodity investments**.

    ### **Key Features of the Dataset**

    #### **Live Market Data and Updates**
    Stay updated with the latest **copper price per pound** in USD. This data is sourced from exchanges like the **London Metal Exchange (LME)** and **COMEX**. Price fluctuations result from **global supply-demand shifts**, currency changes, and geopolitical factors.

    #### **Interactive Copper Price Charts**
    Explore **dynamic charts** showcasing real-time and historical price movements. These compare copper with **gold**, **silver**, and **aluminium**, offering insights into **market trends** and inter-metal correlations.

    ### **Factors Driving Copper Prices**

    #### **1. Supply and Demand Dynamics**
    Global copper supply is driven by mining activities in regions like **Peru**, **China**, and the **United States**. Disruptions in production or policy changes can cause **supply shocks**. On the demand side, **industrial growth** in countries like **India** and **China** sustains demand for copper.

    #### **2. Economic and Industry Trends**
    Copper prices often reflect **economic trends**. The push for **renewable energy** and **electric vehicles** has boosted long-term demand. Conversely, economic downturns and **inflation** can reduce demand, lowering prices.

    #### **3. Impact of Currency and Trade Policies**
    As a globally traded commodity, copper prices are influenced by **currency fluctuations** and **tariff policies**. A strong **US dollar** typically suppresses copper prices by increasing costs for international buyers. Trade tensions can also disrupt **commodity markets**.

    ### **Applications and Benefits**

    This dataset supports **commodity investors**, **traders**, and **industry professionals**:

    - **Investors** forecast price trends and manage **investment risks**. 
    - **Analysts** perform **market research** using price data to assess **copper futures**. 
    - **Manufacturers** optimize supply chains and **cost forecasts**.

    Explore more about copper investments on **Money Metals**:

    - [**Buy Copper Products**](https://www.moneymetals.com/buy/copper) 
    - [**95% Copper Pennies (Pre-1983)**](https://www.moneymetals.com/pre-1983-95-percent-copper-pennies/4) 
    - [**Copper Buffalo Rounds**](https://www.moneymetals.com/copper-buffalo-round-1-avdp-oz-999-pure-copper/297)

    ### **Copper Price Comparisons with Other Metals**

    Copper prices often correlate with those of **industrial** and **precious metals**:

    - **Gold** and **silver** are sensitive to **inflation** and currency shifts. 
    - **Iron ore** and **aluminium** reflect changes in **global demand** within construction and manufacturing sectors.

    These correlations help traders develop **hedging strategies** and **investment models**.

    ### **Data Variables and Availability**

    Key metrics include:

    - **Copper Price Per Pound:** The current market price in USD. 
    - **Copper Futures Price:** Data from **COMEX** futures contracts. 
    - **Historical Price Trends:** Long-term movements, updated regularly. 

    Data is available in **CSV** and **JSON** formats, enabling integration with analytical tools and platforms.

    ### **Conclusion**

    Copper price data is crucial for **monitoring global commodity markets**. From **mining** to **investment strategies**, copper impacts industries worldwide. Reliable data supports **risk management**, **planning**, and **economic forecasting**.

    For more tools and data, visit the **Money Metals** [Copper Prices Page](https://www.moneymetals.com/copper-prices).

CN: Stock: Deliverable: Shanghai Futures Exchange: Copper: Shanghai data was reported at 65,536.000 Ton in 09 May 2025. This records a decrease from the previous number of 70,733.000 Ton for 30 Apr 2025. CN: Stock: Deliverable: Shanghai Futures Exchange: Copper: Shanghai data is updated daily, averaging 91,158.000 Ton from Apr 2016 (Median) to 09 May 2025, with 449 observations. The data reached an all-time high of 273,837.000 Ton in 10 Mar 2017 and a record low of 16,474.000 Ton in 24 Dec 2021. CN: Stock: Deliverable: Shanghai Futures Exchange: Copper: Shanghai 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.

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

Investing in TSX copper stocks allows investors to gain exposure to the copper industry and potentially benefit from the demand and price fluctuations of copper in the global market. Learn about the advantages, including potential capital appreciation, diversification opportunities, and potential dividend income. However, it's important to understand the risks and conduct thorough research before investing.

CN: Warehouse Stock: Shanghai Futures Exchange: Bonded Copper data was reported at 11,294.000 Ton in 13 May 2025. This records an increase from the previous number of 9,993.000 Ton for 12 May 2025. CN: Warehouse Stock: Shanghai Futures Exchange: Bonded Copper data is updated daily, averaging 6,850.000 Ton from Dec 2020 (Median) to 13 May 2025, with 1056 observations. The data reached an all-time high of 52,805.000 Ton in 16 Apr 2024 and a record low of 0.000 Ton in 19 Jan 2021. CN: Warehouse Stock: Shanghai Futures Exchange: Bonded 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.

Australia's copper mining industry is experiencing significant shifts, with Sandfire Resources Limited emerging as the leader among ASX-listed copper miners. With a market capitalization of around **** billion Australian dollars in June 2025, Sandfire has taken the top spot following BHP's acquisition of former industry leader OZ Minerals in early 2023. Copper mining in Australia Australia has some of the largest reserves of copper in the world. The leading markets for copper exports from Australia can be found in Asia, with China being the largest Australian copper recipient by value. Since 2019, the production of copper from Australian mines has followed a downward trend, with production quantities only slightly increasing in 2023. Despite this, Australia could play an important role in meeting the rising global demand for this critical mineral. Australia's global mining presence Australia's significance in the global mining industry extends beyond copper. BHP Group Limited, a British-Australian mining giant, leads the metals and mining companies on the ASX by market capitalization. BHP's diverse portfolio, which includes coal, copper, and iron ore, contributed to its impressive revenue of around **** billion U.S. dollars in fiscal year 2024. The mining industry's importance to Australia's economy is highlighted by its substantial value addition, exceeding *** billion Australian dollars in fiscal year 2024, and its role as a major employer in the country.

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

Copper-Core Stock-Pot Market Outlook

According to our latest research, the global copper-core stock-pot market size reached USD 1.24 billion in 2024, with a robust compound annual growth rate (CAGR) of 6.8% observed over the past few years. The market is projected to expand further, reaching a forecasted value of USD 2.19 billion by 2033, driven by rising culinary awareness, increasing demand for high-performance cookware, and the growing trend of home cooking. This growth is fueled by the superior heat conductivity and durability of copper-core stock-pots, making them a preferred choice among both residential and commercial users.

One of the primary growth factors for the copper-core stock-pot market is the increasing consumer preference for premium cookware that ensures even heat distribution and energy efficiency. Copper-core technology, which typically involves a layer of copper sandwiched between stainless steel or aluminum, offers rapid and uniform heating, reducing cooking time and improving food quality. As consumers become more health-conscious and seek to prepare meals at home, the demand for reliable and efficient cookware has surged. This trend is particularly pronounced in urban areas, where busy lifestyles necessitate kitchen tools that deliver consistent results quickly and safely.

Another significant driver is the expansion of the foodservice industry, which includes restaurants, hotels, and catering services. Commercial kitchens require durable and high-performing cookware that can withstand heavy usage and frequent cleaning. Copper-core stock-pots meet these requirements, offering longevity and superior cooking performance. Additionally, the rise in culinary arts education and the popularity of cooking shows have inspired both professionals and home cooks to invest in premium cookware. Manufacturers are responding by introducing innovative designs and multi-functional stock-pots that cater to diverse cooking needs, further stimulating market growth.

Technological advancements and product innovations have also played a pivotal role in shaping the copper-core stock-pot market. The integration of nonstick coatings, ergonomic handles, and induction compatibility has broadened the appeal of these products. Furthermore, the increasing penetration of e-commerce and online retail platforms has made it easier for consumers to access a wide range of copper-core stock-pots, compare prices, and read reviews before making a purchase. This digital transformation has not only expanded the market reach but also intensified competition, encouraging brands to offer better quality and value-added features.

From a regional perspective, North America and Europe have traditionally dominated the copper-core stock-pot market due to high disposable incomes, established culinary cultures, and a strong presence of leading cookware brands. However, the Asia Pacific region is emerging as a significant growth engine, driven by rising urbanization, a burgeoning middle class, and increasing awareness of the benefits of premium cookware. Latin America and the Middle East & Africa are also witnessing gradual adoption, supported by changing lifestyles and growing hospitality sectors. This regional diversification is expected to sustain the market’s upward trajectory in the coming years.

Product Type Analysis

The product type segment of the copper-core stock-pot market is broadly categorized into Stainless Steel Copper-Core Stock-Pots, Aluminum Copper-Core Stock-Pots, Nonstick Copper-Core Stock-Pots, and Others. Stainless steel copper-core stock-pots remain the most popular choice among consumers due to their exceptional durability, corrosion resistance, and compatibility with various heat sources. The fusion of stainless steel with a copper core ensures not only rapid and even heating but also a sleek aesthetic appeal that resonates with modern kitchens. The growing inclination towards professional-grade cookware in both residential and commercial kitchens has further fueled demand for this product

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.

Copper in Focus as TR/CC CRB Copper Index Outlook Matures

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 copper price share market is a specialized segment of the stock market where investors can buy and sell shares of copper mining companies. This article explains how the copper price share market is influenced by factors such as global copper supply and demand, macroeconomic conditions, commodity market trends, and company-specific factors. It also highlights the opportunities and risks associated with investing in the copper price share market.