Lithium rose to 75,400 CNY/T on October 24, 2025, up 0.80% from the previous day. Over the past month, Lithium's price has risen 2.24%, and is up 5.45% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lithium - values, historical data, forecasts and news - updated on October of 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.

Lithium Americas (LAC): Are batteries igniting growth?

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

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

Lithium Americas Corp.'s strong market position, expansion plans, and favorable industry tailwinds suggest continued growth. However, supply chain disruptions, commodity price fluctuations, and geopolitical risks pose uncertainties that could impact revenue and profitability.

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

Lithium stocks rally on supply disruptions from China's Jianxiawo mine suspension, triggering major gains for producers like Sigma Lithium and Albemarle, though analysts warn the rally may be overextended.

Arcadium Lithium reported 6.26B in Equity Capital and Reserves for its fiscal quarter ending in December of 2024. Data for Arcadium Lithium | LTM - Equity Capital And Reserves including historical, tables and charts were last updated by Trading Economics this last October 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.

Atlantic Lithium: Lithium Surge Ahead? (ALLI)

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 Ningbo Shanshan Co Ltd. Ningbo Shanshan Co.,Ltd. provides lithium battery materials in China and internationally. The company offers lithium-ion battery materials; cathode materials, such as lithium cobalt oxide products, multi-material series products, lithium manganese oxide products, and ternary precursors; anode material products, including synthetic and natural graphite, mesophase carbon microbeads, and composite graphite; and silicon anode materials, and electrolytes. Ningbo Shanshan Co.,Ltd. was founded in 1992 and is based in Ningbo, the People's Republic of China.

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.

SGML:TSXV Sigma Lithium Corporation

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.

Standard Lithium SLI Price Outlook Positive Amid Demand Growth

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

Arcadium Lithium reported 3.78B in Market Capitalization this March of 2025, considering the latest stock price and the number of outstanding shares.Data for Arcadium Lithium | LTM - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last October in 2025.

The size of the Lithium Carbonate Market market was valued at USD 5,281 Million in 2023 and is projected to reach USD 7,025 Million by 2032, with an expected CAGR of 3.9% during the forecast period. Lithium carbonate market is witnessing high growth rate owing to its crucial position in battery production and constant path towards transition into sustainable energy solutions. The rise in electric vehicle usage is a major driver of lithium carbonate demand, as these vehicles rely on high-performance lithium-ion batteries, which rely significantly on lithium carbonate for effective energy storage. Innovations in battery technology and the development of next-generation batteries are expanding lithium carbonate's applications and increasing its market potential. Furthermore, the increased use of renewable energy sources, such as solar and wind power, raises the need for effective energy storage solutions, driving up demand. However, the market's growth may be hampered by the environmental impact of lithium extraction and processing, severe government regulations, and variations in lithium carbonate pricing caused by supply-demand imbalances. Recent developments include: January 2024: Allkem and Livent completed an all-stock merger to form Arcadium Lithium. This merger is a strategic move to incorporate the existing resources and expand the production and supplier scale. Arcadium focuses on highly complementary assets and a vertically integrated business model focused on enhancing operational flexibility and predictability while lowering costs., October 2023: General Motors Holdings LLC (GM) executed a second tranche subscription agreement to which GM will purchase Lithium Americas (NewCo) shares of USD 329.85 million. Through this agreement, GM has 100% exclusive rights to Thacker Pass Phase 1 production for ten years, which produces lithium chemicals, including lithium carbonate., May 2023: SQM SA and Ford Motor Company announced a long-term strategic agreement to supply high-quality battery-grade lithium carbonate, which is an essential component for the manufacturing of high-performance electric vehicle batteries.. Key drivers for this market are: Growing Demand From Lithium-ion Batteries, Increasing Investments in the Glass and Ceramics Industry. Potential restraints include: Constraints in Lithium Extraction and Geographical Restriction of Lithium Mines. Notable trends are: Li-Ion Battery Applications Expected to Drive Growth.

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.

Stock Price Time Series for KULR Technology Group Inc. KULR Technology Group, Inc., through its subsidiary, KULR Technology Corporation, develops and commercializes thermal management technologies for electronics, batteries, and other components applications in the United States. It provides lithium-ion battery thermal runaway shields; automated battery cell screening and test systems; safeCASE; fiber thermal interface materials; phase change material heat sinks; internal short circuit devices; and CRUX cathodes, as well as AI-powered robotic exoskeletons for U.S. Workforce. The company's technologies are used in electric vehicles, energy storage, battery recycling transportation, cloud computing, and 5G communication devices. It sells its products for applications, such as lithium-ion battery energy storage, electric vehicles, 5G communication, cloud computer infrastructure, consumer, and industrial devices. The company was formerly known as KT High-Tech Marketing Inc. and changed its name to KULR Technology Group, Inc. in August 2018. The company was founded in 2013 and is headquartered in Webster, Texas.

Stock Price Time Series for Latin Resources Ltd. Latin Resources Limited explores and develops mining projects in Australia, Peru, Argentina, and Brazil. The company primarily explores for lithium, copper, and gold deposits. Its flagship project is the Salinas Lithium project, which consists of approximately 38,000 hectares located in the district of Minas Gerais, Brazil. The company was incorporated in 2008 and is headquartered in West Leederville, Australia. As of February 4, 2025, Latin Resources Limited operates as a subsidiary of Pilbara Minerals Limited.

Stock Price Time Series for Alkemy Capital Investments Plc. Alkemy Capital Investments Plc invests in the critical minerals sector in the United Kingdom and Australia. The company operates through the Construction and Operation of the Project in Teesside, UK; and the Construction of a Lithium Ore Enrichment Facility in Port Headland, Australia segments. It develops a lithium hydroxide processing facility that produces low-carbon battery grade lithium hydroxide or carbonate for the European battery cell manufactures; a commercial-scale natural graphite active anode material processing facility; and a lithium sulphate refinery, which processes spodumene concentrate to create lithium sulphate. The company was formerly known as Alkemy Capital Plc and changed its name to Alkemy Capital Investments Plc in February 2021. Alkemy Capital Investments Plc is based in London, the United Kingdom.

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.

Standard Lithium (SLI) Stock: Analyst Forecasts Strong Growth

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

Arcadium Lithium reported 859.8M in Current Assets for its fiscal quarter ending in December of 2024. Data for Arcadium Lithium | LTM - Current Assets including historical, tables and charts were last updated by Trading Economics this last October in 2025.

Lithium prices and stocks rallied after CATL suspended a major mine, raising speculation about tightening supply and government intervention in the lithium market.