Natural gas rose to 3.68 USD/MMBtu on June 27, 2025, up 4.25% from the previous day. Over the past month, Natural gas's price has risen 3.34%, and is up 41.32% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on June of 2025.

In the fourth quarter of 2023, the price of liquefied natural gas in India reached 589 USD/MT by December. Similarly, in Germany, the liquefied natural gas prices hit 654 USD/MT during the same month in 2023.

UK Gas rose to 79.21 GBp/thm on June 27, 2025, up 1.81% from the previous day. Over the past month, UK Gas's price has fallen 9.27%, and is down 2.62% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. UK Natural Gas - values, historical data, forecasts and news - updated on June of 2025.

TTF Gas fell to 33.43 EUR/MWh on June 27, 2025, down 0.20% from the previous day. Over the past month, TTF Gas's price has fallen 8.48%, and is down 3.11% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. EU Natural Gas TTF - values, historical data, forecasts and news - updated on June of 2025.

Get the latest insights on price movement and trend analysis of Natural Gas in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East Africa).

During the first quarter of 2025 and into mid-April, U.S. natural gas prices exhibited a mixed trend driven by fluctuating weather patterns, shifting supply dynamics, and varied demand across sectors. In January, prices initially declined as above-average temperatures across key regions limited heating demand, but brief cold snaps later in the month sparked temporary rebounds. February saw modest price recoveries fueled by increased residential consumption during colder spells and a slight dip in production due to freeze-offs in certain basins.

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.

Will the Natural Gas Futures x3 Short Leveraged Index Ignite a Price Drop?

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 the fourth quarter of 2023, the price of neon gas in Germany reached 827 USD/MT by December. This report delves into the spot price of neon gas at major ports and analyzes the composition of prices, including FOB and CIF terms. It also presents a detailed neon gas price trend analysis by region, covering North America, Europe, Asia Pacific, Latin America, and Middle East and Africa.

Gasoline fell to 2.08 USD/Gal on June 27, 2025, down 1.15% from the previous day. Over the past month, Gasoline's price has fallen 0.73%, and is down 17.13% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gasoline - values, historical data, forecasts and news - updated on June of 2025.

European gas prices stay above EUR35/MWh due to stalled Russia-Ukraine peace talks, cold weather forecasts, and LNG supply shifts. Discover the market dynamics and future outlook.

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.

Is Natural Gas the 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

Prices for Northwest Natural Gas - Precio De Mercado including live quotes, historical charts and news. Northwest Natural Gas - Precio De Mercado was last updated by Trading Economics this June 15 of 2025.

Explore the rising European gas prices driven by reduced Russian supply and its impact on the economy and energy strategies.

This bar chart displays news by source using the aggregation count. The data is filtered where the keywords includes European gas hubs price correlation : barriers to convergence?.

Oil & Natural Gas Corporation reported INR3.07T in Market Capitalization this June of 2025, considering the latest stock price and the number of outstanding shares.Data for Oil & Natural Gas Corporation | ONGC - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last June 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.

Natural Gas Futures Triple Short Index: Will the Heat Be On?

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

Oil & Natural Gas Corporation stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Dataset - European gas hubs price correlation : barriers to convergence? in the news

This line chart displays news by publication date using the aggregation count. The data is filtered where the keywords includes European gas hubs price correlation : barriers to convergence?.

California may see gasoline prices soar to $8.43 per gallon as major refineries close, sparking bipartisan concern over economic impacts and policy decisions.