Copper fell to 5.54 USD/Lbs on July 11, 2025, down 0.94% from the previous day. Over the past month, Copper's price has risen 14.41%, and is up 20.55% 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 July of 2025.

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).

Interactive chart of historical daily COMEX copper prices back to 1971. The price shown is in U.S. Dollars per pound.

This dataset provides values for COPPER reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Wholesale Price of Copper Wire for New York (M04178US000NYM267NNBR) from Jan 1901 to Dec 1951 about copper, wired, wholesale, metals, NY, price, and USA.

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

Graph and download economic data for Global price of Copper (PCOPPUSDQ) from Q1 1990 to Q1 2025 about copper, World, metals, and price.

CN: Transaction Price: Electrolyse Copper, No 1: Qingdao data was reported at 48,000.000 RMB/Ton in Nov 2019. This records a decrease from the previous number of 48,200.000 RMB/Ton for Oct 2019. CN: Transaction Price: Electrolyse Copper, No 1: Qingdao data is updated monthly, averaging 43,250.000 RMB/Ton from Dec 1995 (Median) to Nov 2019, with 278 observations. The data reached an all-time high of 75,000.000 RMB/Ton in Jul 2011 and a record low of 15,400.000 RMB/Ton in Jan 2004. CN: Transaction Price: Electrolyse Copper, No 1: Qingdao data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PG: Copper Price.

422 Global import shipment records of Copper Scrap with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

📈 Daily Historical Stock Price Data for Ero Copper Corp. (2017–2025)

A clean, ready-to-use dataset containing daily stock prices for Ero Copper Corp. from 2017-10-20 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Ero Copper Corp. Ticker Symbol: ERO Date Range: 2017-10-20 to 2025-05-28 Frequency: Daily Total Records: 1910 rows (one per trading day)… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-ero-copper-corp-20172025.

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

Gujarati, Damodar N. and Dawn C. Porter, Basic Econometrics, 5d ed., McGraw-Hill, New York, 2009

Determinants of U.S. Domestic Price of Copper, 1951–1980

CN: Transaction Price: Electrolyse Copper, No 1: Yinchuan data was reported at 47,180.000 RMB/Ton in Nov 2019. This records a decrease from the previous number of 47,240.000 RMB/Ton for Oct 2019. CN: Transaction Price: Electrolyse Copper, No 1: Yinchuan data is updated monthly, averaging 42,540.000 RMB/Ton from Dec 1995 (Median) to Nov 2019, with 279 observations. The data reached an all-time high of 79,333.330 RMB/Ton in May 2006 and a record low of 15,300.000 RMB/Ton in Mar 2000. CN: Transaction Price: Electrolyse Copper, No 1: Yinchuan data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PG: Copper Price.

CanariaView Global Copper Supply Forecasting Dataset

  Description

This dataset encompasses economic and industrial indicators vital for constructing a copper supply forecasting model. Coverage Period: Monthly data from January 2000 to March 2023, encompassing a total of 279 months. Column Descriptions and Sources:

Copper price: MacroTrends Cash Costs (Antofagasta's Pure Mining Costs): Antofagasta Annual Report Transport (Antofagasta's Transportation Cost): Antofagasta… See the full description on the dataset page: https://huggingface.co/datasets/CanariaView/GlobalCopperSupplyForecastingDataset.

Lead fell to 2,028.48 USD/T on July 11, 2025, down 0.69% from the previous day. Over the past month, Lead's price has risen 1.60%, but it is still 8.21% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lead - values, historical data, forecasts and news - updated on July of 2025.

This dataset contains monthly historical prices of 10 different commodities from January 1980 to April 2023. The data was collected from the Alpha Vantage API using Python. The commodities included in the dataset are WTI crude oil, cotton, natural gas, coffee, sugar, aluminum, Brent crude oil, corn, copper, and wheat. Prices are reported in USD per unit of measurement for each commodity. The dataset contains 520 rows and 12 columns, with each row representing a monthly observation of the prices of the 10 commodities. The 'All_Commodities' column is new.

WTI: WTI crude oil price per unit of measurement (USD). COTTON: Cotton price per unit of measurement (USD). NATURAL_GAS: Natural gas price per unit of measurement (USD). ALL_COMMODITIES: A composite index that represents the average price of all 10 commodities in the dataset, weighted by their individual market capitalizations. Prices are reported in USD per unit of measurement. COFFEE: Coffee price per unit of measurement (USD). SUGAR: Sugar price per unit of measurement (USD). ALUMINUM: Aluminum price per unit of measurement (USD). BRENT: Brent crude oil price per unit of measurement (USD). CORN: Corn price per unit of measurement (USD). COPPER: Copper price per unit of measurement (USD). WHEAT: Wheat price per unit of measurement (USD).

Note that some values are missing in the dataset, represented by NaN. These missing values occur for some of the commodities in the earlier years of the dataset.

It may be useful for time series analysis and predictive modeling.

NaN values were included so that you as a Data Scientist can get some practice on dealing with NaN values.

https://www.alphavantage.co/documentation/

149145 Global export shipment records of Copper with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

CN: Transaction Price: Electrolyse Copper, No 1: Guiyang data was reported at 47,050.000 RMB/Ton in Nov 2019. This records an increase from the previous number of 47,035.000 RMB/Ton for Oct 2019. CN: Transaction Price: Electrolyse Copper, No 1: Guiyang data is updated monthly, averaging 44,335.000 RMB/Ton from Jan 1997 (Median) to Nov 2019, with 266 observations. The data reached an all-time high of 73,066.670 RMB/Ton in May 2006 and a record low of 15,350.000 RMB/Ton in Jul 1999. CN: Transaction Price: Electrolyse Copper, No 1: Guiyang data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PG: Copper Price.

The Geochemical Database for Iron Oxide-Copper-Cobalt-Gold-Rare Earth Element Deposits of Southeast Missouri (IOCG-REE_GX) contains new geochemical data compilations for samples from IOCG-REE type deposits in which each rock sample has one "best value" determination for each analyzed species, greatly improving speed and efficiency of use. IOCG-REE_GX was created and designed to compile whole-rock and trace element data from southeast Missouri in order to facilitate petrologic studies, mineral resource assessments, and the definition and statistics of geochemical baseline values. This relational database serves as a data archive in support of present and future geologic and geochemical studies of IOCG-REE type deposits, and contains data tables in two different formats describing historical and new quantitative and qualitative geochemical analyses. The analytical results were determined by 24 laboratory analytical methods on 457 rock samples collected during two phases from outcrop and drill core sites from throughout the entire St. Francois Mountains terrane made by the U.S. Geological Survey (USGS). In the first phase, the USGS collected and analyzed 315 samples from 1989 to 1995. During the second phase from 2013-2015, 119 samples were collected and analyzed, and 23 samples from the first phase were reanalyzed using analytical methods of higher precision. The data presents the most precise analytical approach to report the best value for each element. In order to facilitate examination of the geochemistry of the broad range of samples reported (i.e., regional samples, ore zone, or ore deposit alteration-related), a short sample description is given and each sample is coded (Jcode) according to the type of rock suites defined by Kisvarsanyi (1981), whether the sample was collected as a non-ore deposit-related representative of a given rock suite or as a deposit-related sample (Kcode, and; if the sample was related to a specific ore deposit the zone within the given deposit was included (Lcode. These coded data provide a robust tool for evaluating the regional geologic setting of the host terrane as well as assessing the character of hydrothermal alteration related to many of the contained mineral deposits. Data from the first phase are currently maintained in the USGS National Geochemical Database (NGDB), and data from the second phase will soon be added. The data of the IOCG-REE_GX were checked for accuracy regarding sample location, sample media type, and analytical methods used. Reference: >Kisvarsanyi, E.B., 1981, Geology of the Precambrian St. Francois terrane, southeastern Missouri: Missouri Department of Natural Resources Report of Investigations 64, 58 p.

Iron Ore fell to 96.71 USD/T on July 11, 2025, down 0.05% from the previous day. Over the past month, Iron Ore's price has risen 1.31%, but it is still 11.74% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Iron Ore - values, historical data, forecasts and news - updated on July of 2025.