Coal fell to 108.35 USD/T on December 1, 2025, down 1.86% from the previous day. Over the past month, Coal's price has fallen 1.14%, and is down 20.33% compared to the same time last year, 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 December of 2025.

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.

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.

Ramaco Resources (METCL) Notes: A Coal-Fired 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

Indian Energy Stock Price Data: A Window into Future Energy Prices?

Stock price data for Indian energy companies can offer valuable insights, but predicting future energy prices in India solely based on this information is complex. Here's a breakdown:

Potential Uses of Stock Price Data:

Understanding Market Sentiment: Stock prices reflect investor confidence in a company's future performance. By analyzing trends in energy stock prices, we can gauge market sentiment towards the energy sector. Rising stock prices for renewable energy companies might indicate growing investor confidence in the transition to cleaner sources, potentially impacting future energy prices. Identifying Supply and Demand Shifts: Stock prices can react to anticipated changes in supply and demand for energy. For example, rising stock prices for coal companies could suggest a potential supply shortage, potentially pushing up future coal prices.

Limitations of Stock Price Data for Price Prediction:

Focus on Company Performance: Stock prices are primarily driven by a company's financial health and future prospects. While a company's performance might be linked to broader energy market trends, it's not the sole factor.

Multiple Influences on Energy Prices: Geopolitical events, government policies, technological advancements, and global energy market fluctuations all significantly impact energy prices in India. Stock price data alone cannot capture these complexities.

Conclusion:

Indian energy stock price data offers valuable insights, but it's just one piece of the puzzle. A comprehensive analysis that considers various factors like government regulations, global energy trends, and technological advancements is necessary for a more accurate prediction of future energy prices in India.

Additional Considerations:

Analyzing data from energy exchanges like the Indian Energy Exchange (IEX) can provide insights into short-term price movements.

Combining stock price data with other market indicators and expert analysis can lead to a more informed prediction.

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Iron Ore rose to 106.94 USD/T on December 1, 2025, up 2.00% from the previous day. Over the past month, Iron Ore's price has risen 1.04%, and is up 1.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Iron Ore - values, historical data, forecasts and news - updated on December of 2025.

LME Index rose to 4,700 Index Points on October 29, 2025, up 0.79% from the previous day. Over the past month, LME Index's price has risen 7.33%, and is up 13.22% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. LME Index - values, historical data, forecasts and news - updated on December of 2025.