Lithium traded flat at 85,682.86 CNY/T on August 21, 2025. Over the past month, Lithium's price has risen 24.00%, and is up 15.01% 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 August 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 ETF 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.

The latest closing stock price for Lithium Americas (Argentina) as of June 26, 2025 is 2.13. An investor who bought $1,000 worth of Lithium Americas (Argentina) stock at the IPO in 2008 would have $1,160 today, roughly 1 times their original investment - a 4.63% compound annual growth rate over 17 years. The all-time high Lithium Americas (Argentina) stock closing price was 16.49 on November 29, 2021. The Lithium Americas (Argentina) 52-week high stock price is 3.96, which is 85.9% above the current share price. The Lithium Americas (Argentina) 52-week low stock price is 1.71, which is 19.7% below the current share price. The average Lithium Americas (Argentina) stock price for the last 52 weeks is 2.65. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

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) - Riding the Electric Wave: A Forecast for 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

In 2022, the average price of battery-grade lithium carbonate stood at ****** U.S. dollars per metric ton. This figure is by far the highest price for battery-grade lithium carbonate recorded in the period of consideration. For 2024, lithium carbonate price was estimated at ****** U.S. dollars per metric ton. Lithium is a highly reactive soft and silvery-white alkali metal. As the third element in the periodic table, it cannot be found in its pure form in nature. Lithium is the least dense of solid elements and the lightest out of all metals. Lithium and batteries One of lithium’s most well-known end uses is in lithium-ion batteries. Lithium-ion batteries are rechargeable and mostly used in portable electronics and electronic vehicles. In lithium-ion batteries, the lithium ions move from the negative electrode to positive electrode while in use, and the process is reversed while charging. These batteries are highly flammable but are also low-maintenance. They have a high energy density and a low self-discharge. Some drawbacks include the fact that they are expensive to manufacture, and that they require protection circuits to maintain the voltage safely. Lithium-ion batteries are also the single-largest end use of lithium, amounting to an ** percent share of global lithium consumption in 2024. Lithium demand forecasts Looking to the future, lithium demand is forecast to stand at *** million tons by 2025. This growth will be mainly driven by lithium-ion battery demand for electric vehicles. Demand is expected to remain the highest in China, which will consistently account for half of global lithium-ion battery demand.

Information about the largest lithium companies: Livent, Albemarle, Piedmont Lithium, Sociedad Química, FMC, Ganfeng Lithium (002460.SZ), Tianqi Lithium (002466.SZ).

Data is provided by day periods.

Columns: open price, high price, low price, close price, adj close and volume of stocks during the period.

Source: Yahoo finance

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 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.

PLL Piedmont Lithium Inc. Common Stock

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.

Lithium Americas (LAAC) Stock Forecast: Positive Outlook

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 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.

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 August in 2025.

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 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.

S. Quimica Sees Lithium Demand Boosting (SQM) Stock's Future.

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 global market size of Lithium Ion Battery Electrolyte Material is $XX million in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million by the end of 2024 with a CAGR of XX% from 2019 to 2024.
Global Lithium Ion Battery Electrolyte Material Market Report 2019 - Market Size, Share, Price, Trend and Forecast is a professional and in-depth study on the current state of the global Lithium Ion Battery Electrolyte Material industry. The key insights of the report:
1.The report provides key statistics on the market status of the Lithium Ion Battery Electrolyte Material manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
2.The report provides a basic overview of the industry including its definition, applications and manufacturing technology.
3.The report presents the company profile, product specifications, capacity, production value, and 2013-2018 market shares for key vendors.
4.The total market is further divided by company, by country, and by application/type for the competitive landscape analysis.
5.The report estimates 2019-2024 market development trends of Lithium Ion Battery Electrolyte Material industry.
6.Analysis of upstream raw materials, downstream demand, and current market dynamics is also carried out
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There are 4 key segments covered in this report: competitor segment, product type segment, end use/application segment and geography segment.
For competitor segment, the report includes global key players of Lithium Ion Battery Electrolyte Material as well as some small players.
The information for each competitor includes:
* Company Profile
* Main Business Information
* SWOT Analysis
* Sales, Revenue, Price and Gross Margin
* Market Share

For product type segment, this report listed main product type of Lithium Ion Battery Electrolyte Material market
* Product Type I
* Product Type II
* Product Type III

For end use/application segment, this report focuses on the status and outlook for key applications. End users sre also listed.
* Application I
* Application II
* Application III

For geography segment, regional supply, application-wise and type-wise demand, major players, price is presented from 2013 to 2023. This report covers following regions:
* North America
* South America
* Asia & Pacific
* Europe
* MEA (Middle East and Africa)
The key countries in each region are taken into consideration as well, such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.

Reasons to Purchase this Report:
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* Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
* Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
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We also can offer customized report to fulfill special requirements of our clients. Regional and Countries report can be provided as well.

Stock Price Time Series for Do-Fluoride Chemicals Co Ltd. Do-Fluoride New Materials Co., Ltd. engages in the development, production, and sale of inorganic fluorides, electronic chemicals, lithium-ion batteries, and related materials in China and internationally. The company offers cryolite, anhydrous aluminum fluoride, sodium fluoride and fluosilicate, potassium fluosilicate, white carbon black, and anhydrous hydrogen fluoride; lithium hexafluorophosphate and difluorophosphate, lithium bisfluorosulfonylimide, sodium hexafluorophosphate, lithium tetrafluoroborate, lithium bisoxalate borate, and lithium difluoro oxalate borate; and hydrofluoric acid, nitric acid, ammonia, and ammonium fluoride. It also provides customized services for new energy lithium-ion power batteries. The company was formerly known as Do-Fluoride Chemicals Co., Ltd. Do-Fluoride New Materials Co., Ltd. was founded in 1999 and is based in Jiaozuo, the People's Republic of China.

Arcadium Lithium reported 671.7M in Loan Capital for its fiscal quarter ending in December of 2024. Data for Arcadium Lithium | LTM - Loan Capital 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.

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