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

Nickel fell to 14,879.88 USD/T on December 3, 2025, down 0.20% from the previous day. Over the past month, Nickel's price has fallen 1.20%, and is down 7.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Nickel - values, historical data, forecasts and news - updated on December of 2025.

The price of nickel stock can be highly volatile and is influenced by various factors such as global demand, supply issues, economic stability, geopolitical events, and market speculation. This article explores how these factors impact the price of nickel stock and provides insights for investors in making informed investment decisions.

SHFE Nickel Stocks data, recent 11 years (traceable to Apr 13,2015), the unit is t, latest value is 33650, updated at Nov 25,2025

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

The article provides an overview of the nickel stock market price, highlighting the factors that influence it, such as supply and demand dynamics, government policies, and global economic conditions. It also discusses the recent volatility in nickel prices due to the electric vehicle industry, the COVID-19 pandemic, and geopolitical events. Investors and traders interested in nickel stocks can use this information to make informed investment decisions.

Forecast: Stocks of Nickel-Copper Alloys in the US 2024 - 2028 Discover more data with ReportLinker!

Investing in nickel mining stocks, ETFs, and futures contracts. Factors influencing nickel price, demand, and market dynamics. Research and industry knowledge essential for successful nickel investments.

Nickel-Plated Aluminum Tab Stock Market Outlook

According to our latest research, the global nickel-plated aluminum tab stock market size reached USD 1.34 billion in 2024, reflecting robust expansion driven by surging demand across battery manufacturing and advanced electronics applications. The market is registering a healthy CAGR of 8.1% from 2025 to 2033, with projections indicating the market will reach USD 2.53 billion by 2033. The primary growth factor fueling this trajectory is the rapid growth of the electric vehicle (EV) industry and the increasing adoption of energy storage solutions, both of which require high-performance, corrosion-resistant tab stock materials for efficient current collection and extended lifecycle.

The nickel-plated aluminum tab stock market is being propelled by several critical growth drivers, most notably the exponential rise in demand for lithium-ion batteries. As global automotive manufacturers pivot toward electrification and governments implement stringent emissions regulations, the need for reliable, lightweight, and cost-effective battery components has surged. Nickel-plated aluminum tab stock offers a unique combination of conductivity, corrosion resistance, and mechanical strength, making it an ideal choice for battery tabs that must withstand repeated charge-discharge cycles. Additionally, the proliferation of renewable energy installations and grid-scale energy storage systems is amplifying demand for high-quality tab stock, as these applications necessitate materials that maintain performance under varying environmental and operational stresses.

Another pivotal factor contributing to market growth is the rapid evolution of consumer electronics and portable devices. Smartphones, laptops, wearables, and other high-drain devices require batteries that are not only compact but also deliver consistent performance and safety. The integration of nickel-plated aluminum tab stock in battery assemblies helps manufacturers achieve these objectives, as it enables efficient current transfer while minimizing the risk of thermal runaway and degradation over time. Furthermore, advancements in manufacturing technologies, such as precision stamping and automated plating processes, have enhanced the quality and scalability of tab stock production, reducing costs and broadening accessibility for manufacturers across various industries.

Sustainability and recyclability are also emerging as significant growth levers for the nickel-plated aluminum tab stock market. As environmental concerns mount and regulatory frameworks tighten, manufacturers are increasingly seeking materials that support circular economy initiatives. Nickel-plated aluminum is favored for its recyclability, lightweight nature, and lower environmental footprint compared to traditional copper-based alternatives. This shift is particularly evident in regions prioritizing green manufacturing and responsible sourcing, where industry stakeholders are investing in closed-loop recycling systems and sustainable supply chains. The alignment of nickel-plated aluminum tab stock with these broader sustainability goals is expected to further elevate its adoption in both established and emerging markets.

From a regional perspective, Asia Pacific continues to dominate the nickel-plated aluminum tab stock market, accounting for more than 45% of global revenue in 2024. This leadership is underpinned by the region’s status as a global manufacturing hub for batteries, electronics, and electric vehicles, with countries like China, Japan, and South Korea at the forefront of innovation and production. North America and Europe are also witnessing significant growth, driven by investments in EV infrastructure, renewable energy projects, and advanced manufacturing capabilities. Meanwhile, Latin America and the Middle East & Africa are gradually emerging as new frontiers, propelled by industrialization and increasing adoption of clean energy solutions. These regional dynamics are shaping the competitive landscape and influencing supply chain strategies across the industry.

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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.

Nickel Commodity DJ Forecast: Volatility Expected for the Nickel Index

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

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.

Nickel Price Outlook: TR/CC CRB Nickel index Faces Volatility Amidst Shifting Supply Dynamics.

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

Indonesia Mining Production: Usage: End Stock: Nickel Ore data was reported at 5,968,339.000 Ton in 2015. This records an increase from the previous number of 974,456.000 Ton for 2014. Indonesia Mining Production: Usage: End Stock: Nickel Ore data is updated yearly, averaging 1,303,135.000 Ton from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 5,968,339.000 Ton in 2015 and a record low of 144,087.000 Ton in 2012. Indonesia Mining Production: Usage: End Stock: Nickel Ore data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Mining and Manufacturing Sector – Table ID.BAE004: Mining Production: Usage.

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.

Nickel index faces uncertain future amid shifting market dynamics.

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

Nickel Mines reported $139.82M in Stock for its fiscal semester ending in December of 2024. Data for Nickel Mines | NIC - Stock including historical, tables and charts were last updated by Trading Economics this last November in 2025.

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 Nickel Index: A Reliable Gauge of Nickel Market Performance?

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

Nickel-Plated Aluminum Tab Stock Market Outlook

According to our latest research, the Global Nickel-Plated Aluminum Tab Stock Market size was valued at $1.1 billion in 2024 and is projected to reach $2.3 billion by 2033, expanding at a CAGR of 8.2% during 2024–2033. The primary driver for this notable growth is the surging demand for high-performance battery components across the automotive and consumer electronics sectors, particularly fueled by the rapid adoption of electric vehicles (EVs) and portable electronic devices worldwide. Nickel-plated aluminum tab stock is increasingly being recognized for its superior conductivity, corrosion resistance, and cost-effectiveness, making it a preferred choice for battery manufacturers aiming to enhance product lifespan and performance. This trend is further supported by ongoing advancements in battery technology and the global shift towards sustainable energy solutions, positioning the nickel-plated aluminum tab stock market for robust expansion over the forecast period.

Regional Outlook

Asia Pacific currently dominates the global nickel-plated aluminum tab stock market, accounting for more than 52% of the overall market share in 2024. This region’s leadership is primarily attributed to the presence of large-scale battery manufacturing hubs in China, Japan, and South Korea, coupled with the aggressive expansion of the electric vehicle industry. Government policies promoting local production, heavy investments in R&D, and the availability of cost-effective raw materials have collectively fostered a mature ecosystem for nickel-plated aluminum tab stock suppliers. Additionally, the proliferation of consumer electronics manufacturing in this region has created a sustained demand for high-quality tab stock materials, further reinforcing Asia Pacific’s position as the market leader.

North America is anticipated to be the fastest-growing region, with a projected CAGR of 9.5% from 2024 to 2033. This remarkable growth is being driven by significant investments in EV infrastructure, the resurgence of domestic battery manufacturing, and strategic initiatives aimed at reducing reliance on imported battery components. The United States and Canada are witnessing increased funding in advanced battery research, supported by both government incentives and private sector investment. Furthermore, the region’s focus on clean energy transitions and the development of next-generation automotive technologies is catalyzing demand for nickel-plated aluminum tab stock, particularly in high-performance and safety-critical applications.

Emerging economies in Latin America and the Middle East & Africa are gradually entering the nickel-plated aluminum tab stock market, albeit at a slower pace due to infrastructural and regulatory challenges. While adoption is currently limited by factors such as high initial investment costs, lack of technical expertise, and fragmented supply chains, localized demand is beginning to rise, particularly in industrial equipment and renewable energy projects. Policymakers in these regions are increasingly recognizing the importance of fostering local manufacturing capabilities and are introducing incentives to attract foreign direct investment. However, the pace of market penetration remains contingent on broader economic reforms and the establishment of robust supply networks.

Report Scope

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.

Nickel Index: A Leading Indicator?

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

The Nickel Stock Exchange is a globally recognized stock exchange specializing in the trading of nickel-related securities. It serves as a platform for investors, traders, and businesses to buy and sell shares and other financial instruments tied to the nickel industry. With a mission to provide transparency, liquidity, and efficient market operations, the Nickel Stock Exchange plays a crucial role in facilitating capital flows and investment opportunities in the nickel sector.

Forecast: Ferroniobium and Nickel Niobium Stocks in the US 2024 - 2028 Discover more data with ReportLinker!

Common-Stock Time Series for Eramet SA. ERAMET S.A. produces and sells manganese and nickel metals in Asia, Europe, North America, and internationally. It extracts and processes manganese and nickel ores; extracts and develops mineral sands; and mines and processes lithium deposits. The company also offers manganese alloys, including silicomanganese, low-carbon silicomanganese, and manganese dioxide, as well as medium, low, and high carbon ferromanganese; manganese ores, such as lumpy ores, fines, HM, and sinter products; ferronickel, nickel pig iron, briquettes, nickel salts, nickel ferroalloys, ferronickel slag, and other nickel products; and mineral sands, ilmenite, rutile, and leucoxene, such as zircon and titanium dioxide used in building, decoration, and ceramics, and abrasives. In addition, it operates Moanda mine in Gabon; nickel mines in New Caledonia and Indonesia; and mineral sand mine in Senegal. The company was incorporated in 1880 and is headquartered in Paris, France.