Copper rose to 5.19 USD/Lbs on December 2, 2025, up 0.35% from the previous day. Over the past month, Copper's price has risen 3.22%, and is up 25.36% 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 December of 2025.

Learn how the daily price of copper is influenced by factors like supply and demand dynamics, economic indicators, geopolitical events, and investor sentiment. Discover why traders and investors closely monitor copper prices and how they analyze historical data, charts, and news updates to make informed decisions. Understand the impact of factors such as supply and demand, economic indicators, geopolitical events, and currency movements on the price of copper. Stay updated with real-time price charts and hi

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).

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.

Graph and download economic data for Global price of Copper (PCOPPUSDM) from Jan 1990 to Jun 2025 about copper, metals, World, and price.

The daily Comex copper price is a key indicator of market sentiment and can provide valuable insights into the global supply and demand dynamics of copper. Traders and investors rely on this price data to make informed decisions about buying or selling copper futures contracts, but it should be used in conjunction with other market indicators and analysis tools.

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

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.

Monthly and long-term copper price data (US$/mt): historical series and analyst forecasts curated by FocusEconomics.

The Comex price of copper today is influenced by various factors and is subject to daily fluctuations. Copper is a highly valued industrial metal that plays a significant role in the global economy. It is used in a wide range of industries, including construction, electrical wiring, telecommunications, and transportation. As a result, its price is closely monitored by investors, manufacturers, and traders. The copper Comex price today can be influenced by several factors such as supply and demand dynamics,

South Korea Electric Copper data was reported at 11,299.000 USD/Ton in 01 Dec 2025. This records an increase from the previous number of 11,004.000 USD/Ton for 28 Nov 2025. South Korea Electric Copper data is updated daily, averaging 8,100.500 USD/Ton from Jul 2021 (Median) to 01 Dec 2025, with 1111 observations. The data reached an all-time high of 11,299.000 USD/Ton in 01 Dec 2025 and a record low of 7,000.000 USD/Ton in 15 Jul 2022. South Korea Electric Copper data remains active status in CEIC and is reported by Ministry of Trade, Industry and Energy. The data is categorized under Global Database’s South Korea – Table KR.P: Raw Material Prices.

The daily return is defined as R_t=ln⁡(P_t/P_(t-1) ), where P_t and P_(t-1) are the closing prices at day t and t-1, respectively. According to (WHO 2020), March 11, 2020 is the day which the global COVID-19 outbreak is considered as a pandemic. We define the dummy variable D = 0 before this date and D = 1 after that. The daily closing price for COMEX’s copper from January 02, 2018, to December 30, 2022, which was extracted from Nasdaq.

This dataset contains historical price data for seven essential metals traded on the Multi Commodity Exchange (MCX) India: Gold, Silver, Lead, Zinc, Copper, Nickel, and Aluminum. The data is meticulously collected to support prediction models, trend analysis, and statistical exploration of metal price movements.

The dataset includes: - Daily price data for 7 metals - Open price, high/low values, and closing prices - Data across multiple periods, useful for preliminary exploration, model training, and analysis

Description for each column in the dataset: 1. Date: The date on which the market data was recorded (format: DD-MM-YYYY). 2. Price: The closing price of Copper on the given date, reflecting the last traded price of the day. 3. Open: The opening price of Copper at the start of trading on the given date. 4. High: The highest price Copper reached during the trading day. 5. Low: The lowest price Copper traded at during the day. 6. Vol. (Volume): The total volume of Copper traded on the given day, typically in thousands (K). 7. Change %: The percentage change in the closing price from the previous trading day.

Brazil Exports: Price: Extractive Industry: Copper Ores and Concentrates data was reported at 3,498.927 USD/Ton in 30 Apr 2025. This records an increase from the previous number of 3,474.075 USD/Ton for 27 Apr 2025. Brazil Exports: Price: Extractive Industry: Copper Ores and Concentrates data is updated daily, averaging 2,563.933 USD/Ton from Mar 2019 (Median) to 30 Apr 2025, with 263 observations. The data reached an all-time high of 3,709.838 USD/Ton in 09 Feb 2025 and a record low of 559.118 USD/Ton in 05 Sep 2021. Brazil Exports: Price: Extractive Industry: Copper Ores and Concentrates data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.JAA004: Exports: Economic Activity: Product: 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.

Copper index forecast: Steady growth anticipated

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

Brazil Imports: Price: YoY: Daily Average: Transformation Industry: Copper data was reported at 9.801 % in 30 Apr 2025. This records an increase from the previous number of 9.648 % for 27 Apr 2025. Brazil Imports: Price: YoY: Daily Average: Transformation Industry: Copper data is updated daily, averaging 8.805 % from Apr 2020 (Median) to 30 Apr 2025, with 244 observations. The data reached an all-time high of 73.151 % in 30 Jun 2021 and a record low of -20.453 % in 23 Oct 2022. Brazil Imports: Price: YoY: Daily Average: Transformation Industry: Copper data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.JAA013: Imports: Economic Activity: Product: Price: Year-on-Year.

LME Index rose to 4,700 Index Points on October 29, 2025, up 0.79% from the previous day. Over the past month, LME Index's price has risen 7.33%, and is up 13.22% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. LME Index - values, historical data, forecasts and news - updated on December of 2025.

Index Time Series for Samsung KODEX Copper Futures Special Asset ETF Hedged. The frequency of the observation is daily. Moving average series are also typically included. N/A

Chile Average Price: Refined Copper: LME data was reported at 4.325 USD/lb in 16 May 2025. This records a decrease from the previous number of 4.326 USD/lb for 15 May 2025. Chile Average Price: Refined Copper: LME data is updated daily, averaging 3.255 USD/lb from Jan 1999 (Median) to 16 May 2025, with 6657 observations. The data reached an all-time high of 4.925 USD/lb in 20 May 2024 and a record low of 1.955 USD/lb in 15 Jan 2016. Chile Average Price: Refined Copper: LME data remains active status in CEIC and is reported by Chilean Copper Commission. The data is categorized under Global Database’s Chile – Table CL.P001: Average Price: Metals. [COVID-19-IMPACT]

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.

TR/CC CRB Copper index outlook uncertain amid market shifts

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