The nickel market is influenced by factors such as supply and demand dynamics, trade policies, and global economic conditions. This article discusses the impact of stainless steel production, supply sources, trade policies, and economic conditions on the nickel market. It also highlights the increasing demand for nickel in the electric vehicle industry and the rise of nickel pig iron production in China. Investors and industry participants need to understand these factors for informed decision-making in the

Nickel rose to 15,020 USD/T on August 1, 2025, up 0.47% from the previous day. Over the past month, Nickel's price has fallen 2.09%, and is down 7.70% 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 August of 2025.

Nickel prices skyrocketed on the expectations of a shortage on the global market provoked by the increase in demand that outpaces the supply growth. The rebound in the steel industry and rising electric vehicle manufacturing drive nickel consumption. Pandemic-related lockdowns in the first half of 2020 and the related uncertainty led to a decrease in the global nickel mine output by -4% y-o-y. Despite this, refined nickel production increased by +2% y-o-y, boosted by the recovering demand from mid-2020 and the use of secondary smelting. Indonesia, the largest nickel ore producer worldwide, banned exports of the ore and thus achieved a record output of refined nickel.

Discover how shifting market dynamics may lead to a rebound in nickel prices amidst current challenges and future projections.

Nickel Mines 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.

Nickel Index: The Future of the Metal?

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.

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

Staying informed about nickel commodity news is crucial for understanding market trends and making informed decisions. Factors such as EV demand, supply disruptions, trade policies, and the impact of global events like the pandemic can all affect the price and availability of nickel. By keeping an eye on these developments, investors and industry players can stay ahead of the curve and adapt their strategies accordingly.

Norilsk Nickel reported RUB18.29B in Market Capitalization this August of 2025, considering the latest stock price and the number of outstanding shares.Data for Norilsk Nickel | GMKN - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Nickel prices reached a four-year low due to oversupply driven by Indonesia's production surge. Learn about the market dynamics and future strategies.

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 Price Outlook: DJ Commodity Nickel Index Faces Volatility

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 AUD3.15B in Market Capitalization this August of 2025, considering the latest stock price and the number of outstanding shares.Data for Nickel Mines | NIC - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last August 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.

Nickel index forecast: Mixed outlook expected

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 $743.92M in Current Assets for its fiscal semester ending in December of 2024. Data for Nickel Mines | NIC - Current Assets including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Norilsk Nickel reported $4.8B in Stock for its fiscal semester ending in December of 2022. Data for Norilsk Nickel | GMKN - Stock including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Nickel Coated Fibers Market Analysis The global nickel coated fibers market size was valued at USD 7.46 billion in 2025 and is projected to grow at a CAGR of 5.61% from 2025 to 2033. Increasing demand for nickel coated fibers in the electronics, aerospace, and automotive industries is a key driver for market growth. Nickel coated fibers offer high strength, corrosion resistance, and thermal stability, making them ideal for use in advanced applications. The market is segmented based on fiber diameter, purity, application, and region. The electronics segment is expected to account for the largest share of the market due to the increasing use of nickel coated fibers in electronic devices such as batteries, semiconductors, and printed circuit boards. In terms of region, Asia Pacific is projected to witness the highest growth during the forecast period due to rapid industrialization and growing demand for electronics and aerospace components in the region. Key market participants include North American Stainless, Carpenter Technology Corporation, Umicore, Crucible Industries, LLC, and Metglas. Recent developments include: The increasing demand for lightweight and high-strength materials in various industries, such as aerospace, automotive, and electronics, is driving the growth of the market., Recent news developments in the market include the launch of new products and expansions by key players. For instance, in 2023, Nippon Steel Corporation announced the development of a new nickel-coated fiber with improved strength and corrosion resistance., Additionally, the growing adoption of electric vehicles is expected to create significant opportunities for the nickel-coated fiber market in the coming years.. Key drivers for this market are: Rising demand for lightweight vehicles, the growing electronics industry; and increasing use in aerospace applications . Potential restraints include: Increased demand for advanced materials Substitution of traditional materials Technological advancements Growing end-use industries Environmental regulations .

Explore how Nickel Industries maintains resilience and growth in volatile nickel markets through strategic partnerships and projects, backed by strong operational strategies.

Nickel Mines reported $145.1M in EBITDA for its fiscal semester ending in June of 2024. Data for Nickel Mines | NIC - Ebitda including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Discover the latest market trends in the United States nickel industry, with a forecasted increase in both volume and value over the next decade.

Nickel Mines reported 4.29B in Outstanding Shares in April of 2024. Data for Nickel Mines | NIC - Outstanding Shares including historical, tables and charts were last updated by Trading Economics this last August in 2025.