Natural gas fell to 3.66 USD/MMBtu on June 30, 2025, down 2.07% from the previous day. Over the past month, Natural gas's price has fallen 0.88%, but it is still 47.76% higher than a year ago, 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.

This statistic shows the stock prices of selected oil and gas commodities from January 2, 2020 to February 4, 2025. After the Russian invasion of Ukraine in February 2022, energy prices climbed significantly. The highest increase can be observed for natural gas, whose price peaked in August and September 2022. By the beginning of 2023, natural gas price started to decline.

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

Interactive chart illustrating the history of Henry Hub natural gas prices. The prices shown are in U.S. dollars.

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.

In 2024, the price of natural gas in Europe reached 11 constant U.S. dollars per million British thermal units, compared with 2.2 U.S. dollars in the U.S. This was a notable decrease compared to the previous year, which had seen a steep increase in prices due to an energy supply shortage exacerbated by the Russia-Ukraine war. Since 1980, natural gas prices have typically been higher in Europe than in the United States and are expected to remain so for the coming two years. This is due to the U.S. being a significantly larger natural gas producer than Europe. What is natural gas and why is it gaining ground in the energy market? Natural gas is commonly burned in power plants with combustion turbines that generate electricity or used as a heating fuel. Given the fact that the world’s energy demand continues to grow, natural gas was seen by some industry leaders as an acceptable "bridge-fuel" to overcome the use of more emission-intensive energy sources such as coal. Subsequently, natural gas has become the main fuel for electricity generation in the U.S., while the global gas power generation share has reached over 22 percent. How domestic production shapes U.S. natural gas prices The combination of hydraulic fracturing (“fracking”) and horizontal drilling can be regarded as one of the oil and gas industry’s biggest breakthroughs in decades, with the U.S. being the largest beneficiary. This technology has helped the industry release unprecedented quantities of gas from deposits, mainly shale and tar sands that were previously thought either inaccessible or uneconomic. It is forecast that U.S. shale gas production could reach 36 trillion cubic feet in 2050, up from 1.77 trillion cubic feet in 2000.

UK Gas fell to 76.96 GBp/thm on June 30, 2025, down 1.29% from the previous day. Over the past month, UK Gas's price has fallen 5.35%, and is down 1.38% 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.

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

The global natural gas price index stood at 182.56 index points in May 2025. Natural gas prices decreased that month as heating fuel demand continued to fall. The global price index takes into account indices from Europe, Japan, and the United States – some of the largest natural gas trading markets. The U.S. is the leading natural gas exporter in the world. Means of trading natural gas Liquefied natural gas (LNG) is the most common form of trading natural gas. Although piped gas is often the preferred choice for transportation between neighboring producing and consuming countries, seaborne trade as LNG has grown in market volume. This is in part thanks to high consumption in pipeline-inaccessible areas such Japan, Korea, and China, as well as the recent increase in LNG trade by European countries. Major natural gas price benchmarks The natural gas prices often used as global benchmarks are Europe’s Dutch TTF traded on the Intercontinental Exchange, Indonesian LNG in Japan, and the U.S. Henry Hub traded on the New York Mercantile Exchange. 2022 was an especially volatile year for natural gas prices, as supply was severely constrained following sanctions on Russian imports. Other reasons for recent spikes in gas prices are related to issues at refineries, changes in demand, and problems along seaborne supply routes.

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

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.

The size of the North America Natural Gas Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 5.00% during the forecast period. The North American natural gas market is exhibiting dynamic growth, not only owing to high domestic production coupled with rising consumption but also a growing trend toward cleaner sources of energy. Today, the United States is the world's largest producer of natural gas, largely because of the breakthrough in shale extraction technologies that have opened up vast reserves. This has resulted in the United States becoming the world's largest liquefied natural gas exporter. Most particularly, it makes use of incredibly high demand in markets such as Asia and Europe. Canada has considerable natural gas reserves, pipelines, and other infrastructure, supporting both the export of gas to the U.S. and international markets, besides providing domestic energy supply. ALCANICA: Canada is also focusing on the development of LNG export facilities to meet growing demand worldwide. As environmental concerns go up, natural gas becomes a bridge fuel-a source to help in the process of moving away from coal and supporting renewable integration. The issues affecting the market here include price volatility, regulatory barriers, and increased competition due to renewable energy. This should continue to be accompanied by growth in North America's natural gas market, as production capacity is strong, and investments being made in infrastructure are supported within a shifting energy mix that increasingly is suited for cleaner fuels. Recent developments include: In July 2022, Sempra Infrastructure signed an agreement with Mexico's Federal Electricity Commission to advance the joint development of critical energy infrastructure projects in Mexico, including the rerouting of the Guaymas-El Oro pipeline in Sonora, the proposed Vista Pacífico LNG project in Topolobampo, Sinaloa, and the potential development of a liquefied natural gas (LNG) terminal in Salina Cruz, Oaxaca.. Key drivers for this market are: 4., Growing Demand for Renewable Energy4.; Upcoming Investments in the Energy Sector and Supportive Renewable Energy Policies. Potential restraints include: 4., High Initial Investment Cost and Long Investment Return Period on Projects. Notable trends are: Power generation to Dominate the Market.

Working gas held in storage facilities in the United States increased by 96 billion cubic feet in the week ending June 20 of 2025 . This dataset provides the latest reported value for - United States Natural Gas Stocks Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Dutch TTF gas futures amounted to ***** euros per megawatt hour on June 23, 2025 for contracts with delivery in July 2025. Figures increased compared to the previous week and were higher than they had been a year prior. Dutch TTF is seen as a Europe-wide natural gas price benchmark. Europe more reliant on imports The Groningen gas field is the largest gas field in Europe and the major natural gas source in the Netherlands. In 2014, the first earthquake related to drilling the field occurred, and other seismic activities were also observed. Therefore, the Groningen field has drastically reduced its production output. Since then, natural gas production in the Netherlands has been in a trend of continuous decline. To balance the diminished domestic production, the European market relies on liquefied natural gas imports and pipeline inflow. LNG pricing across European regions The European gas market exhibits regional variations, as evidenced by LNG prices in different parts of the continent. The Southwest Europe LNG price is generally slightly higher than LNG prices in Northwest Europe. The latter reached around **** U.S. dollars per million British thermal units in mid-June 2025.

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

CN: Liquefied Natural Gas (LNG): Market Low Price: Fujian data was reported at 4,950.000 RMB/Ton in 02 May 2025. This stayed constant from the previous number of 4,950.000 RMB/Ton for 25 Apr 2025. CN: Liquefied Natural Gas (LNG): Market Low Price: Fujian data is updated daily, averaging 4,920.000 RMB/Ton from Feb 2020 (Median) to 02 May 2025, with 273 observations. The data reached an all-time high of 9,110.000 RMB/Ton in 04 Mar 2022 and a record low of 2,650.000 RMB/Ton in 19 Jun 2020. CN: Liquefied Natural Gas (LNG): Market Low Price: Fujian data remains active status in CEIC and is reported by Shandong Longzhong Information Technology Co., Ltd.. The data is categorized under China Premium Database’s Energy Sector – Table CN.RBP: Liquefied Natural Gas (LNG): Market Price.

CN: Liquefied Natural Gas (LNG): Market Main Price: Heilongjiang: Daqing data was reported at 4,700.000 RMB/Ton in 09 May 2025. This stayed constant from the previous number of 4,700.000 RMB/Ton for 02 May 2025. CN: Liquefied Natural Gas (LNG): Market Main Price: Heilongjiang: Daqing data is updated daily, averaging 4,925.000 RMB/Ton from Dec 2023 (Median) to 09 May 2025, with 72 observations. The data reached an all-time high of 6,375.000 RMB/Ton in 29 Dec 2023 and a record low of 4,325.000 RMB/Ton in 08 Mar 2024. CN: Liquefied Natural Gas (LNG): Market Main Price: Heilongjiang: Daqing data remains active status in CEIC and is reported by Shandong Longzhong Information Technology Co., Ltd.. The data is categorized under China Premium Database’s Energy Sector – Table CN.RBP: Liquefied Natural Gas (LNG): Market Price.

Northwest Natural Gas market cap as of June 28, 2025 is $1.73B. Northwest Natural Gas market cap history and chart from 2010 to 2025. Market capitalization (or market value) is the most commonly used method of measuring the size of a publicly traded company and is calculated by multiplying the current stock price by the number of shares outstanding.

This dataset encapsulates a detailed examination of market dynamics over a five-year period, focusing on the fluctuation of prices and trading volumes across a diversified portfolio. It covers various sectors including energy commodities like natural gas and crude oil, metals such as copper, platinum, silver, and gold, cryptocurrencies including Bitcoin and Ethereum, and key stock indices and companies like the S&P 500, Nasdaq 100, Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta Platforms. This dataset serves as a valuable resource for analyzing trends and patterns in global markets.

Date: The date of the recorded data, formatted as DD-MM-YYYY. Natural_Gas_Price: Price of natural gas in USD per million British thermal units (MMBtu). Natural_Gas_Vol.: Trading volume of natural gas Crude_oil_Price: Price of crude oil in USD per barrel. Crude_oil_Vol.: Trading volume of crude oil Copper_Price: Price of copper in USD per pound. Copper_Vol.: Trading volume of copper Bitcoin_Price: Price of Bitcoin in USD. Bitcoin_Vol.: Trading volume of Bitcoin Platinum_Price: Price of platinum in USD per troy ounce. Platinum_Vol.: Trading volume of platinum Ethereum_Price: Price of Ethereum in USD. Ethereum_Vol.: Trading volume of Ethereum S&P_500_Price: Price index of the S&P 500. Nasdaq_100_Price: Price index of the Nasdaq 100. Nasdaq_100_Vol.: Trading volume for the Nasdaq 100 index Apple_Price: Stock price of Apple Inc. in USD. Apple_Vol.: Trading volume of Apple Inc. stock Tesla_Price: Stock price of Tesla Inc. in USD. Tesla_Vol.: Trading volume of Tesla Inc. stock Microsoft_Price: Stock price of Microsoft Corporation in USD. Microsoft_Vol.: Trading volume of Microsoft Corporation stock Silver_Price: Price of silver in USD per troy ounce. Silver_Vol.: Trading volume of silver Google_Price: Stock price of Alphabet Inc. (Google) in USD. Google_Vol.: Trading volume of Alphabet Inc. stock Nvidia_Price: Stock price of Nvidia Corporation in USD. Nvidia_Vol.: Trading volume of Nvidia Corporation stock Berkshire_Price: Stock price of Berkshire Hathaway Inc. in USD. Berkshire_Vol.: Trading volume of Berkshire Hathaway Inc. stock Netflix_Price: Stock price of Netflix Inc. in USD. Netflix_Vol.: Trading volume of Netflix Inc. stock Amazon_Price: Stock price of Amazon.com Inc. in USD. Amazon_Vol.: Trading volume of Amazon.com Inc. stock Meta_Price: Stock price of Meta Platforms, Inc. (formerly Facebook) in USD. Meta_Vol.: Trading volume of Meta Platforms, Inc. stock Gold_Price: Price of gold in USD per troy ounce. Gold_Vol.: Trading volume of gold

Image attribute : Image by Freepik

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 Index Short Leveraged Play Pay Off?

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