Aluminum fell to 2,603.70 USD/T on July 11, 2025, down 0.21% from the previous day. Over the past month, Aluminum's price has risen 3.25%, and is up 4.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Aluminum - values, historical data, forecasts and news - updated on July of 2025.

Real-time aluminum spot prices from major Chinese markets with price changes and trends

Real-time aluminum futures prices from major exchanges with price changes and trends

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

📈 Daily Historical Stock Price Data for Aluminum Corporation of China Limited (2000–2025)

A clean, ready-to-use dataset containing daily stock prices for Aluminum Corporation of China Limited from 2000-01-04 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Aluminum Corporation of China Limited Ticker Symbol: 601600.SS Date Range: 2000-01-04 to 2025-05-28… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-aluminum-corporation-of-china-limited-20002025.

Graph and download economic data for Global price of Aluminum (PALUMUSDQ) from Q1 1990 to Q1 2025 about aluminum, World, and price.

Comprehensive aluminum spot price dataset from SME market including real-time pricing, daily changes, and percentage fluctuations for aluminum ingot trading in China's spot market

Global Aluminum Prices: 35 years of historical data from 1990 to 2025.

A cost model is developed for the estimation of several technological parameters describing the production process of aluminium smelters worldwide. The model is similar to Baltagi and Griffin's (1988), but, instead of estimating technological change using a panel data set of firms, we estimate, among other things, the vintage effect, using a cross-section of aluminium smelters in operation throughout 1994. The vintage effect is defined as the variable cost differential that may be attributed to the utilization of a specific technical vintage in the production of aluminium in relation to another. Other technological measurements are also discussed: the scale effect or returns to scale and technological characteristic effects, i.e. the variable cost elasticities with respect to pot size and current intensity. The results show that considerable cost reductions may be expected from the change of old technical vintages to more recent ones. Also, results show that for a majority of smelters in the sample, returns to scale seem to be exhausted. Finally, variable costs are very sensitive to pot size in the sense that large cost reductions can be expected from the increase in pot size, an important characteristic of the technology used by smelters.

Comprehensive aluminum spot price dataset from SMM market including real-time pricing, daily changes, and percentage fluctuations for aluminum ingot trading in China's spot market

Transaction Price: Aluminum: AOO: Hangzhou data was reported at 13,950.000 RMB/Ton in Nov 2019. This records a decrease from the previous number of 14,010.000 RMB/Ton for Oct 2019. Transaction Price: Aluminum: AOO: Hangzhou data is updated monthly, averaging 14,700.000 RMB/Ton from Dec 1995 (Median) to Nov 2019, with 281 observations. The data reached an all-time high of 22,566.670 RMB/Ton in May 2006 and a record low of 9,840.000 RMB/Ton in Nov 2015. Transaction Price: Aluminum: AOO: Hangzhou 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: Aluminum Price.

Bauxite and Aluminum Import Prices: 39 years of historical data from 1986 to 2025.

Prices for 4 basic commodities for industry: Brent crude oil, natural gas, aluminum, and DJUSST (Iron & Steel); monthly data from Jan. 2010, a weighted sum of daily data from Yahoo Finance.

Comprehensive aluminum futures price dataset from LME exchange including real-time contract pricing, daily settlement changes, and percentage fluctuations for aluminum futures trading with detailed market analysis and trend indicators

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/

This time I deided to pay attention on the changes in metal prices within last 30 year. The most popular and interesting in visualization metals prices were tacken: Gold, Aluminium, Silver, Uranium and Nickel Don't forget to check out my previous "Price Changes within last 30 Years" datasets: 🌽 Cerial Prices Changes Within Last 30 Years ☕Coffee, Rice and Beef Prices Changes for 30 Years

Daily updated dataset showing Hindalco aluminium price movements including upgrade, down, and stable statuses with historical tracking in HTML table format.

📈 Daily Historical Stock Price Data for Elvalhalcor Hellenic Copper and Aluminium Industry S.A. (1996–2025)

A clean, ready-to-use dataset containing daily stock prices for Elvalhalcor Hellenic Copper and Aluminium Industry S.A. from 1996-12-27 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Elvalhalcor Hellenic Copper and Aluminium Industry S.A. Ticker… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-elvalhalcor-hellenic-copper-and-aluminium-industry-sa-1996.

Comprehensive aluminum futures price dataset from SHFE exchange including real-time contract pricing, daily settlement changes, and percentage fluctuations for aluminum futures trading with detailed market analysis and trend indicators

Metal Industry Indicators (MII) is a monthly newsletter that analyzes and forecasts the economic health of five metal-processing industries: primary metals, steel, copper, primary and secondary aluminum, and aluminum mill products. The MII presents composite leading and coincident indexes of a set of indicators that historically have proven to lead or coincide with the major business cycle changes in these industries. The indexes were developed in cooperation with the Center for International Business Cycle Research at Columbia University. Each month, these indexes are analyzed along with any economy-wide occurrences that would affect the metals industries. Stone, Clay, Glass, and Concrete Products Industry Indicators (IMII) is a monthly newsletter that analyzes and forecasts the economic health of four industrial-mineral-processing industries: stone, clay, glass, and concrete products. The IMII presents composite leading and coincident indexes of a set of indicators that historically have proven to lead or coincide with the major business cycle changes in these industries. The indexes were developed cooperation with the Center for International Business Cycle Research at Columbia University. Each month, these indexes are analyzed along with any economy-wide occurrences that would affect the industrial minerals industries.