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

Aluminum fell to 2,603.60 USD/T on August 15, 2025, down 0.79% from the previous day. Over the past month, Aluminum's price has risen 1.00%, and is up 10.07% 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 August of 2025.

Learn about the factors that influence the price of aluminum in the stock market, including supply and demand, economic conditions, political instability, and environmental factors. This article provides insights on tracking the aluminum market through various stock market indices and making informed investment decisions.

Explore the various factors that impact the price of aluminum, including supply and demand, geopolitics, and production levels, in this informative article. Discover how recent global events have affected the market and how investors view the potential for long-term growth.

Reliance Steel & Aluminum stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Aluminum Corporation of China stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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 Aluminum Index the Future of TR/CC CRB?

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

Stock Price Time Series for Jiaozuo Wanfang Aluminum. JiaoZuo WanFang Aluminum Manufacturing Co., Ltd engages in smelting and processing aluminum products in China. The company provides electrolytic aluminum liquid, aluminum ingots, and aluminum alloy products. It also involved in the sale of aluminum products and metal materials; commodity trading; waste treatment; heating and water supply; and gas supply, as well as thermal power business. Its products are used in the construction, real estate, transportation, packaging, and cables. The company was founded in 1966 and is based in Jiaozuo, China.

In 2024, the average price for aluminum stood at 2,419 nominal U.S. dollars per metric ton. This statistic depicts the average annual prices for aluminum from 2014 through 2026.

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

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 Aluminum's Index a True Reflection of Market Reality?

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 recent fluctuations in aluminum coil stock prices in 2023, driven by geopolitical tensions, energy price shifts, and supply chain disruptions. Understand how demand in sectors like automotive and electronics, combined with supply-side challenges such as environmental regulations and high energy costs, impacts the market. Learn about future price stabilization efforts involving recycled aluminum and trade agreements.

In 2024, the average market spot price of an aluminum ingot was estimated at *** U.S. dollars per pound. Throughout the indicated period, this was by far the highest spot price for aluminum ingots. The fluctuations in aluminum prices can have far-reaching effects on the economy, influencing costs for products ranging from beverage cans to automotive parts. Production of aluminum
The primary production of aluminum in the United States has experienced fluctuations recently, with an estimated production volume of ******* metric tons in 2023. The primary production process involves the melting of alumina into pure aluminum. While the United States is one of the top 10 producers of primary aluminum, China is leading the way in terms of aluminum smelter production, with a production volume of ** million metric tons in 2023.  Price comparison with other base metals The pricing of materials is influenced by various elements, such as manufacturing techniques, availability, and demand in diverse industries. In 2023, of the various base metals, tin was priced approximately at ** U.S. dollars per pound and was the highest priced base metal at that time. In contrast, aluminum had the fourth highest price that year.

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.

Kaiser Aluminum Stock Forecast: (KALU) Poised for a Rebound?

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

Get the latest insights on price movement and trend analysis of Aluminium in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East Africa).

Aluminum Of China stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Aluminium Fin Stock Market Size And Forecast

Aluminium Fin Stock Market size is growing at a moderate pace with substantial growth rates over the last few years and is estimated that the market will grow significantly in the forecasted period i.e. 2024 to 2031.

Global Aluminium Fin Stock Market Drivers

The Aluminium Fin Stock market is influenced by a variety of factors that drive demand, supply, and pricing. Here are some key market drivers:

Automotive Industry Demand: Aluminium Fin Stock is widely used in the automotive sector for heat exchangers, radiators, and air conditioning units. The growth of the automotive industry, particularly with the rise in the production of electric and hybrid vehicles, significantly impacts the demand for Aluminium Fin Stock. HVAC Applications: The heating, ventilation, and air conditioning (HVAC) industry is a major consumer of Aluminium Fin Stock. Increased construction activities, coupled with rising demand for energy-efficient HVAC systems, drive the market.

Global Aluminium Fin Stock Market Restraints

The Aluminium Fin Stock market, which serves industries such as HVAC, automotive, and electronics, may face several market restraints. Here are some of the key factors that could potentially limit the growth and development of this market:

Price Volatility of Raw Materials: The price of aluminium and related raw materials can be volatile due to economic fluctuations, geopolitical issues, and changes in supply and demand. This unpredictability can hinder production planning and pricing strategies. Environmental Regulations: Stricter environmental regulations regarding mining, processing, and recycling of aluminium can increase operational costs and complicate compliance, impacting industry profitability.

Aluminum Of China market cap as of July 10, 2025 is $0B. Aluminum Of China market cap history and chart from 2010 to 2024. Market capitalization (or market value) is the most commonly used method of measuring the size of a publicly traded company and is calculated by multiplying the current stock price by the number of shares outstanding.

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.

Aluminum Index: The Key to TR/CC CRB Success?

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

Reliance Steel & Aluminum reported $16.67B in Market Capitalization this August of 2025, considering the latest stock price and the number of outstanding shares.Data for Reliance Steel & Aluminum | RS - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last August in 2025.