Natural gas rose to 2.96 USD/MMBtu on September 12, 2025, up 1.01% from the previous day. Over the past month, Natural gas's price has risen 4.50%, and is up 28.21% 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 September of 2025.

TTF Gas fell to 32.26 EUR/MWh on September 11, 2025, down 3.28% from the previous day. Over the past month, TTF Gas's price has fallen 0.46%, and is down 8.45% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. EU Natural Gas TTF - values, historical data, forecasts and news - updated on September of 2025.

UK Gas fell to 79.34 GBp/thm on September 11, 2025, down 2.16% from the previous day. Over the past month, UK Gas's price has fallen 0.18%, and is down 6.13% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. UK Natural Gas - values, historical data, forecasts and news - updated on September 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).

View market daily updates and historical trends for Henry Hub Natural Gas Spot Price. from United States. Source: Energy Information Administration. Track…

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

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

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

Gasoline fell to 1.96 USD/Gal on September 12, 2025, down 0.59% from the previous day. Over the past month, Gasoline's price has fallen 5.74%, but it is still 1.05% higher than a year ago, 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 September of 2025.

Why did the Natural Gas Price Change in July 2025? Natural Gas Price Index averaged USD 3696/1000 mmBtu, Ex-Louisiana, down 7% from Q1 2025, and featuring a mixed pattern of early weakness followed by a late-quarter recovery.

September natural gas prices rebounded slightly from a nine-month low amid high US production and shifting demand forecasts. Read the latest market analysis.

Prices for Northwest Natural Gas - 주가 including live quotes, historical charts and news. Northwest Natural Gas - 주가 was last updated by Trading Economics this September 11 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.

Natural Gas Futures Short Leveraged Index Forecast

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

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.

Oil & Natural Gas Corporation reported INR2.94T in Market Capitalization this September 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 September in 2025.

Exxon Mobil projects a $1.5 billion decrease in Q2 earnings amid falling oil and gas prices, with Brent crude dropping by 11% and U.S. natural gas prices down 9%.

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

This dataset is about news. It has 29 rows and is filtered where the keywords includes European gas hubs price correlation : barriers to convergence?. It features 2 columns including news link.

TotalEnergies anticipates lower Q2 earnings in upstream and LNG sectors due to falling oil and gas prices, affecting major oil companies like BP and Shell.

Northwest Natural Gas reported $15.76 in PE Price to Earnings for its fiscal quarter ending in June of 2025. Data for Northwest Natural Gas | NWN - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last September in 2025.