Copper fell to 5.06 USD/Lbs on October 24, 2025, down 0.17% from the previous day. Over the past month, Copper's price has risen 7.25%, and is up 16.80% 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 October 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.

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

Discover the top copper companies on the stock market, including Freeport-McMoRan, Southern Copper, Grupo Mexico, and KGHM Polska Miedz. Learn about their operations, financial performance, and investment opportunities in the thriving copper industry.

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.

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.

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

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.

Investing in copper producing stocks provides investors with an opportunity to participate in the potential growth and profitability of the copper industry. Analyzing the financial health, production capabilities, and exploration projects of companies is important when considering copper producing stocks. This article highlights several well-known copper producing stocks listed on major stock exchanges and provides a reminder to carefully research and consult with a financial advisor before investing in any

This dataset is about stocks. It has 3 rows and is filtered where the company is Copper Fox Metals. It features 8 columns including stock name, company, exchange, and exchange symbol.

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.

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.

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.

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.

M.A.C. Copper Shares Could See Upswing, Analysts Say (MTAL)

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.

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

Explore the dynamics of the copper metal stock market, a vital element in global industry and investment. Understand how demand for renewable energy, supply disruptions, and major mining companies like BHP Group and Freeport-McMoRan shape market trends amidst geopolitical and technological shifts.

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

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

CN: Stock: Deliverable: Shanghai Futures Exchange: Bonded Copper data was reported at 13,767.000 Ton in 09 May 2025. This records an increase from the previous number of 13,236.000 Ton for 30 Apr 2025. CN: Stock: Deliverable: Shanghai Futures Exchange: Bonded Copper data is updated daily, averaging 39,049.500 Ton from Jan 2021 (Median) to 09 May 2025, with 218 observations. The data reached an all-time high of 96,029.000 Ton in 17 Jun 2022 and a record low of 0.000 Ton in 15 Jan 2021. CN: Stock: Deliverable: 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.