Coal rose to 112 USD/T on July 11, 2025, up 0.90% from the previous day. Over the past month, Coal's price has risen 7.07%, but it is still 16.32% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coal - values, historical data, forecasts and news - updated on July of 2025.

Coal price stocks refer to the value assigned to shares of companies involved in the coal industry. The article discusses factors that affect coal stock prices, including supply and demand dynamics, government regulations, and global economic conditions. It also highlights challenges faced by the coal industry due to the focus on reducing carbon emissions and transitioning to cleaner energy sources. Investors interested in coal stocks should be aware of the risks associated with regulatory uncertainty, mark

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

📈 Daily Historical Stock Price Data for Coal India Limited (2010–2025)

A clean, ready-to-use dataset containing daily stock prices for Coal India Limited from 2010-11-04 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Coal India Limited Ticker Symbol: COALINDIA.NS Date Range: 2010-11-04 to 2025-05-28 Frequency: Daily Total Records: 3589 rows (one per trading… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-coal-india-limited-20102025.

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

The global coal price index reached 138.87 index points in May 2025. This was a decrease compared to the previous month, which also reflected a fall in the overall fuel energy price index. The global coal index expresses trading of Australian and South African coal, as both countries are among the largest exporters of coal worldwide. How coal profited from the 2022 gas crunch Throughout 2022, coal prices saw a significant net increase. This was largely due to greater fuel and electricity demand as countries slowly exited more stringent coronavirus restrictions, as well as fallout from the Russia-Ukraine war. As many European countries moved to curtailing gas imports from Russia, coal became the alternative to fill the power supply gap, more than doubling the annual average price index between 2021 and 2022. Main coal traders and receivers Although China makes up by far the largest share of worldwide coal production, it is among those countries consuming the majority of its extracted raw materials domestically. In terms of exports, Indonesia, the world's third-largest coal producer, trades more coal than any other country, followed by Australia and Russia. Meanwhile, Japan, South Korea, and Germany are among the leading coal importers, as these countries rely heavily on coal for electricity and heat generation.

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

International and domestic data on coal production, consumption, prices, reserves, stocks, imports, exports, distribution, and transportation rates. Weekly, monthly, and annual data available.

The Chinese coking coal market is experiencing a price decline due to oversupply and low steel demand, affecting global market dynamics.

AI-powered price forecasts for COAL stock across different timeframes including weekly, monthly, yearly, and multi-year predictions.

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.

CNX: A Coal-Fired Comeback?

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

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

China Settlement Price: Dalian Commodity Exchange: Coking Coal: 4th Month data was reported at 875.000 RMB/Ton in 13 May 2025. This records a decrease from the previous number of 876.500 RMB/Ton for 12 May 2025. China Settlement Price: Dalian Commodity Exchange: Coking Coal: 4th Month data is updated daily, averaging 1,253.500 RMB/Ton from Mar 2013 (Median) to 13 May 2025, with 2948 observations. The data reached an all-time high of 3,781.500 RMB/Ton in 19 Oct 2021 and a record low of 499.000 RMB/Ton in 24 Nov 2015. China Settlement Price: Dalian Commodity Exchange: Coking Coal: 4th Month data remains active status in CEIC and is reported by Dalian Commodity Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Dalian Commodity Exchange: Commodity Futures: Settlement Price: Daily.

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.

Peabody Energy: Is the Coal Giant Ready to Ignite (BTU)?

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

China Coal reported CNY103.78B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for China Coal | 601898 - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

China Coal reported CNY7.69B in Gross Profit on Sales for its fiscal quarter ending in March of 2025. Data for China Coal | 601898 - Gross Profit On Sales including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Learn about the factors that influence the share price of China Coal Energy, including market conditions, government policies, and environmental concerns, and gain insights into the company's performance and future prospects.

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.

Buffalo Coal Corp. Forecast & Analysis

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

Snapshot img

Metallurgical Coal Market Size 2025-2029

The metallurgical coal market size is forecast to increase by USD 99.6 billion at a CAGR of 4.8% between 2024 and 2029.

The market is experiencing significant growth driven by the increasing demand for steel, a primary consumer of metallurgical coal. This trend is particularly prominent in regions with robust industrial sectors, such as Asia Pacific. Another key driver is the rise of smart city projects, which require substantial amounts of steel and consequently, metallurgical coal. However, the market is not without challenges. The volatility in prices of metallurgical coal, influenced by supply and demand dynamics and geopolitical factors, poses a significant risk for market participants.
Companies seeking to capitalize on the opportunities presented by this market must stay abreast of price fluctuations and adopt strategic sourcing and pricing strategies. Additionally, investments in technological advancements, such as automation and mechanization, can help improve operational efficiency and reduce costs. Overall, the market offers substantial growth potential for companies able to navigate the price volatility and adapt to evolving market conditions.

What will be the Size of the Metallurgical Coal Market during the forecast period?

Request Free Sample

The market encompasses the production and trade of coal used primarily in steel manufacturing. This market exhibits dynamic behavior, influenced by various factors. High-sulphur utilization and medium-ash applications in iron ore smelting remain significant drivers, while price fluctuations in thermal coal markets can impact metallurgical coal demand. Environmental concerns, including air pollution and mining safety, necessitate continued innovation in mining industry practices and technologies. Mining resources and reserves, mining sustainability, and mining equipment automation are essential considerations for market participants. Steel industry outlook, infrastructure development, and sustainable infrastructure projects, such as bridge construction and commercial space development, shape demand for metallurgical coal.
Renewable energy alternatives and sustainable mining practices are gaining traction, potentially impacting the market's future direction. Mining project management, equipment maintenance, and mining investment are crucial elements in the metallurgical coal supply chain. Steel production technology advancements and iron ore smelting processes continue to evolve, influencing the market's size and direction. The transportation and logistics sector plays a vital role in delivering coal to consumers, ensuring efficient and cost-effective solutions. Mining industry outlook remains positive, driven by the ongoing demand for steel and infrastructure development.

How is this Metallurgical Coal Industry segmented?

The metallurgical coal industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Steel making
  Non-steel making


Type

  Hard coking coals
  Semi-soft coking coals
  Pulverized coal injection
  Medium Coking Coal


End-User

  Iron and Steel Industry
  Chemical and Pharmaceutical
  Foundry Industry
  Non-Steel Production
  Power Industry


Geography

  APAC

    China
    India


  North America

    US
    Canada


  Europe

    France
    Germany
    Russia
    UK


  Middle East and Africa

    UAE


  South America

    Brazil


  Rest of World

By Application Insights

The steel making segment is estimated to witness significant growth during the forecast period.

Metallurgical coal plays a crucial role in steel manufacturing as it is the primary input for coke production in the blast furnace process and the electric arc furnace (EAF) route. Steel production, a key indicator of economic development, saw a 3.3% increase in global crude steel output to 145.5 million tons (Mt) in November 2023, according to the World Steel Association. Concurrently, the global apparent steel use per capita surpassed 200 kilograms, marking an over 10% rise. Both steel manufacturing processes, BF-BOF and EAF, necessitate metallurgical coal. While the former requires substantial volumes, the latter demands lower quantities.

The steel industry's growth is driven by infrastructure development, urbanization, and the increasing demand for construction, high-grade steel for various industries, and premium hard coking coal for medical applications. The market dynamics are influenced by factors such as coal quality standards, sustainable mining practices, carbon footprint reduction, and cost reduction through mining technology advancements and automation. Additionally, environmental degradation and air quality concerns have led to st

This data is made up of daily stock prices and commodities' futures of a range of variables including NASDAQ clean focused price index, ARCA technology price index, Brent oil futures, Henry hub natural gas futures, Newcastle coal futures, carbon emission futures and green information technology stock price. The dataset supports empirical analysis which examines the volatility of clean energy stock returns (CERs) given the aggregate influence of energy security elements (ESEs) internal to CERs and the individuals influences of a range of exogenous variables including oil futures, natural gas futures, coal futures, carbon emission futures and green information technology stock price.