Crude Oil Production in the United States increased to 13488 BBL/D/1K in March from 13240 BBL/D/1K in February of 2025. This dataset provides the latest reported value for - United States Crude Oil Production - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Small dataset on the U.S. Field Production of Crude Oil throughout the years.

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How the Data was Acquired:

This data was extracted from the United States Energy Information Administration. Format adjustments for CSV purposes were made, in the form of sorting the data by the oldest date.

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Column Breakdown:

Month: The Month and Year, ranging from 02/1920 to 02/2022.

Oil_tbpd: U.S. Field Production of Crude Oil Thousand Barrels per Day, sorted into the months.

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How to Use this Dataset:

This dataset is primarily for beginners to work with dates and a trend of somewhat linear data. Data analysis, statistical analysis, and regression are all possible practices under different circumstances. No significant findings are expected.

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Potential Updates: Addi n additional Crude Oil information throughout the timeline. A notebook dedicated to minor statistical analysis of the data.

This dataset contains USA Daily RBOB Regular Gasoline Spot Price form 2003. Data from US Energy Information Administration. Follow datasource.kapsarc.org for timely data to advance energy economics research.Notes:RBOB: "Reformulated Gasoline Blendstock for Oxygenate Blending" is motor gasoline blending components intended for blending with oxygenates to produce finished reformulated gasoline.Regular Gasoline: Gasoline having an antiknock index (average of the research octane rating and the motor octane number) greater than or equal to 85 and less than 88. Note: Octane requirements may vary by altitude. Los Angeles Reformulated RBOB Regular Gasoline Spot Price (Dollars per Gallon)

📈 Daily Historical Stock Price Data for Battalion Oil Corporation (2019–2025)

A clean, ready-to-use dataset containing daily stock prices for Battalion Oil Corporation from 2019-12-24 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Battalion Oil Corporation Ticker Symbol: BATL Date Range: 2019-12-24 to 2025-05-28 Frequency: Daily Total Records: 1363 rows (one… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-battalion-oil-corporation-20192025.

📈 Daily Historical Stock Price Data for Athabasca Oil Corporation (2010–2025)

A clean, ready-to-use dataset containing daily stock prices for Athabasca Oil Corporation from 2010-04-20 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Athabasca Oil Corporation Ticker Symbol: ATH.TO Date Range: 2010-04-20 to 2025-05-28 Frequency: Daily Total Records: 3789 rows… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-athabasca-oil-corporation-20102025.

Heating Oil rose to 2.13 USD/Gal on June 6, 2025, up 1.84% from the previous day. Over the past month, Heating Oil's price has risen 7.87%, but it is still 9.65% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Heating oil - values, historical data, forecasts and news - updated on June of 2025.

This dataset contains information about Daily Diesel Spot Price from 1996.Data collected from US Energy Information Administration.Notes:Ultra-Low-Sulfur No. 2 Diesel FuelNo. 2 Diesel Fuel: A gasoil type distillate for use in high speed diesel engines generally operated under uniform speed and load conditions, with distillation temperatures between 540-640 degrees Fahrenheit at the 90-percent recovery point; and the kinematic viscosities between 1.9-4.1 centistokes at 100 degrees Fahrenheit as defined in ASTM specification D975-93. Includes Type R-R diesel fuel used for railroad locomotive engines, and Type T-T for diesel-engine trucks.For pricing data: Ultra-Low Sulfur or On-Highway Diesel Fuel is No. 2 diesel fuel which has a sulfur level less than or equal to 15 ppm (parts per million); Low Sulfur Diesel Fuel is No. 2 diesel fuel which has a sulfur level greater than 15 and less than or equal to 500 ppm; and High Sulfur refers to No. 2 distillate (either diesel or fuel oil) which has a sulfur level greater than 500 ppm.Includes: New York Harbor Ultra-Low Sulfur No 2 Diesel Spot Price (Dollars per Gallon)2. U.S. Gulf Coast Ultra-Low Sulfur No Diesel Spot Price (Dollars per Gallon)Los Angeles, CA Ultra-Low Sulfur CARB Diesel Spot Price (Dollars per Gallon)

📈 Daily Historical Stock Price Data for S-Oil Corporation (2000–2025)

A clean, ready-to-use dataset containing daily stock prices for S-Oil Corporation from 2000-01-04 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: S-Oil Corporation Ticker Symbol: 010950.KS Date Range: 2000-01-04 to 2025-05-28 Frequency: Daily Total Records: 6358 rows (one per trading day)… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/010950.KS.

Canada has abundant resources of crude oil, with an estimated remaining ultimate potential of 52.3 106m³ (329 billion barrels) as of December 2017. Of this, oil sands account for 92 per cent. There are two major producing areas in Canada, the Western Canada Sedimentary Basin, which includes Alberta, Saskatchewan and parts of British Columbia and Manitoba, and offshore eastern Canada. Oil is also produced in modest volumes in Ontario and the Northwest Territories. Although Canada was the 4th largest producer in the world in 2018, it produces only about five per cent of total daily production, so it does not have a major influence on the world oil prices. In 2018, 96 per cent of Canadian crude exports went to the U.S. The Canada Energy Regulator regulates the export of crude oil. Holders of export authorizations report monthly statistics on export activities. This dataset provides historical export volumes of crude oil (by year and month), and by either type of oil or by destination of export.

The 2025 annual OPEC oil price stood at ***** U.S. dollars per barrel, as of April. This would be lower than the 2024 average, which amounted to ***** U.S. dollars. The abbreviation OPEC stands for Organization of the Petroleum Exporting Countries and includes Algeria, Angola, Congo, Equatorial Guinea, Gabon, Iraq, Iran, Kuwait, Libya, Nigeria, Saudi Arabia, Venezuela, and the United Arab Emirates. The aim of the OPEC is to coordinate the oil policies of its member states. It was founded in 1960 in Baghdad, Iraq. The OPEC Reference Basket The OPEC crude oil price is defined by the price of the so-called OPEC (Reference) basket. This basket is an average of prices of the various petroleum blends that are produced by the OPEC members. Some of these oil blends are, for example: Saharan Blend from Algeria, Basra Light from Iraq, Arab Light from Saudi Arabia, BCF 17 from Venezuela, et cetera. By increasing and decreasing its oil production, OPEC tries to keep the price between a given maxima and minima. Benchmark crude oil The OPEC basket is one of the most important benchmarks for crude oil prices worldwide. Other significant benchmarks are UK Brent, West Texas Intermediate (WTI), and Dubai Crude (Fateh). Because there are many types and grades of oil, such benchmarks are indispensable for referencing them on the global oil market. The 2025 fall in prices was the result of weakened demand outlooks exacerbated by extensive U.S. trade tariffs.

This dataset contains: California Dairies, Food Processing Facilities, Wastewater treatment facilities with digesters (AZ, NV, HI, CA), California Landfills, California Organic Collection Programs, California Fat/Oil/Grease Collection Sites, Fat/Oil/Grease Haulers (AZ, NV, CA). List of dairies located in California that do not use anaerobic digesters to produce biogas, and estimates of how much biogas could be produced if these dairies were to use anaerobic digesters to manage dairy waste. The Central Valley Regional Water Quality Control Board provided EPA Region 9 with herd size data by from their 2005 General Waste Discharge annual report (contact person at the Water Quality Control Board: Doug Patterson, Doug.Patteson@waterboards.ca.gov). List of food processing facilities (in NV, AZ, CA, HI) producing waste that could be used for co-digestion at wastewater treatment facilities and other entities with anaerobic digesters. The facilities included were based on a list of businesses classified by the North American Industry Classification System (NAICS) as food manufacturing businesses. Dunn & Bradstreet compiled the list in 2010 per the request by the EPA. List of Wastewater Treatment Facilities (WWTF) with anaerobic digesters in Arizona. The list of facilities was obtained from the annual biosolids report required under 40 CFR 503 (Standards for the Use or Disposal of Sewage Sludge) for WWTF with influent flows over 1 million gallons per day. Original data set was based on 2004 reporting, which was the last year Arizona WWTFs were required to report to the EPA, but was partially updated based on direct communication between EPA Region 9â??s Sustainable Infrastructure program and some of the WWTFs. List of Wastewater Treatment Facilities (WWTFs) with anaerobic digesters (in NV, HI). The list of facilities was obtained from the annual biosolids report required under 40 CFR 503 (Standards for the Use or Disposal of Sewage Sludge) for WWTFs with influent flows over 1 million gallons per day. The data used by the Waste to Biogas Mapping tool can and have been updated based on request through a web interface and by the EPA Region 9 Sustainable Infrastructure program. California Organic Collection Programs: List of organic collection programs in California that have the potential to provide waste for co-digestion at Wastewater Treatment Facilities and other entities that use anaerobic digesters. A study conducted by New Found Lands Institute in 2008 with a grant provided by EPA Region 9 was the source of the information about organic collection programs. List of Fat, Oil, and Grease (FOG) hauling and rendering companies serving locations in the State of California and that have the potential to provide FOG for co-digestion at Wastewater Treatment Facilities and other entities that use anaerobic digesters. EPA Region 9â??s Sustainable Infrastructure program obtained the data from the CalFOG website in 2009. The list of haulers on the CalFOG website can be found here: http://www.calfog.org/Hauler.html. Updates to the CalFOG website are not automatically reflected in the Waste to Biogas Mapping Tool. The data used by the Waste to Biogas Mapping tool can and have been updated based on request through a web interface and by the EPA Region 9 Sustainable Infrastructure program. List of Fat, Oil, and Grease (FOG) hauling companies serving locations in the State of Arizona and that have the potential to provide FOG for co-digestion at Wastewater Treatment Facilities and other entities that use anaerobic digesters. EPA Region 9â??s Sustainable Infrastructure program obtained the data from the Arizona Department of Environmental Quality in 2009 (contact: Barbara M. Waterbury, Waterbury.Barbara@azdeq.gov and Steven Schoen,) steven.schoen@phoenix.gov). The data used by the Waste to Biogas Mapping tool can and have been updated based on request through a web interface and by the EPA Region 9 Sustainable Infrastructure program.

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 Dow Jones U.S. Oil & Gas Index Fuel Growth?

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 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.

Oil Services Sector Outlook: Moderate Growth Predicted for U.S. Select Oil Equipment & Services Index.

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

Palm Oil rose to 3,925 MYR/T on June 9, 2025, up 0.20% from the previous day. Over the past month, Palm Oil's price has risen 2.88%, and is up 0.20% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Palm Oil - values, historical data, forecasts and news - updated on June of 2025.

Sunflower Oil fell to 1,248.10 USD/T on June 6, 2025, down 0.41% from the previous day. Over the past month, Sunflower Oil's price has fallen 3.95%, but it is still 35.50% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Sunflower Oil.

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.

Zephyr Energy: (ZPHR) Riding the Wave of US Oil

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 rose to 2.09 USD/Gal on June 9, 2025, up 0.36% from the previous day. Over the past month, Gasoline's price has fallen 2.01%, and is down 13.72% 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.

Natural gas fell to 3.62 USD/MMBtu on June 9, 2025, down 4.40% from the previous day. Over the past month, Natural gas's price has fallen 0.78%, but it is still 24.48% 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.

United States Imports from Russia was US$3.27 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from Russia - data, historical chart and statistics - was last updated on June of 2025.