Crude Oil fell to 62.27 USD/Bbl on September 22, 2025, down 0.21% from the previous day. Over the past month, Crude Oil's price has fallen 3.91%, and is down 11.51% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on September of 2025.

Brent crude oil is projected to have an average annual spot price of 67.22 U.S. dollars per barrel in 2025, according to a forecast from May 2025. This would mean a decrease of more than 13 U.S. dollars compared to the previous year and also reflect a reduced forecast WTI crude oil price. Lower economic activity, an increase in OPEC+ production output, and uncertainty over trade tariffs all impacted price forecasting. All about Brent Also known as Brent Blend, London Brent, and Brent petroleum, Brent Crude is a crude oil benchmark named after the exploration site in the North Sea's Brent oilfield. It is a sweet light crude oil but slightly heavier than West Texas Intermediate. In this context, sweet refers to a low sulfur content and light refers to a relatively low density when compared to other crude oil benchmarks. Price development in the 2020s Oil prices are volatile, impacted by consumer demand and discoveries of new oilfields, new extraction methods such as fracking, and production caps routinely placed by OPEC on its member states. The price for Brent crude oil stood at an average of just 42 U.S. dollars in 2020, when the coronavirus pandemic resulted in a sudden demand drop. Two years later, sanctions on Russian energy imports had pushed up prices to a new decade-high, above 100 U.S. dollars per barrel.

Brent rose to 67.60 USD/Bbl on September 23, 2025, up 1.55% from the previous day. Over the past month, Brent's price has fallen 1.74%, and is down 10.07% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on September of 2025.

The annual price of West Texas Intermediate (WTI) crude oil is expected to reach an average of 63.58 U.S. dollars per barrel in 2025, according to an August 2025 forecast. This would be a decrease of roughly 13 U.S. dollar compared to the previous year. In the first eight months of 2025, weekly crude oil prices largely stayed below 70 U.S. dollars per barrel amid trade tariffs and an expected economic downturn. What are benchmark crudes? WTI is often used as a price reference point called a benchmark (or ”marker”) crude. This category includes Brent crude from the North Sea, Dubai Crude, as well as blends in the OPEC reference basket. WTI, Brent, and the OPEC basket have tended to trade closely, but since 2011, Brent has been selling at a higher annual spot price than WTI, largely due to increased oil production in the United States. What causes price volatility? Oil prices are historically volatile. While mostly shaped by demand and supply like all consumer goods, they may also be affected by production limits, a change in U.S. dollar value, and to an extent by market speculation. In 2022, the annual average price for WTI was close to the peak of nearly 100 U.S. dollars recorded in 2008. In the latter year, multiple factors, such as strikes in Nigeria, an oil sale stop in Venezuela, and the continuous increase in oil demand from China were partly responsible for the price surge. Higher oil prices allowed the pursuit of extraction methods previously deemed too expensive and risky, such as shale gas and tight oil production in the U.S. The widespread practice of fracturing source rocks for oil and gas extraction led to the oil glut in 2016 and made the U.S. the largest oil producer in the world.

Heating Oil fell to 2.29 USD/Gal on September 23, 2025, down 0.30% from the previous day. Over the past month, Heating Oil's price has fallen 2.64%, but it is still 4.64% higher 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 September of 2025.

On September 15, 2025, the Brent crude oil price stood at 67.45 U.S. dollars per barrel, compared to 63.3 U.S. dollars for WTI oil and 71.01 U.S. dollars for the OPEC basket. Oil prices rose slightly that week.Europe's Brent crude oil, the U.S. WTI crude oil, and OPEC's basket are three of the most important benchmarks used by traders as reference for global oil and gasoline prices. Lowest ever oil prices during coronavirus pandemic In 2020, the coronavirus pandemic resulted in crude oil prices hitting a major slump as oil demand drastically declined following lockdowns and travel restrictions. Initial outlooks and uncertainty surrounding the course of the pandemic brought about a disagreement between two of the largest oil producers, Russia and Saudi Arabia, in early March. Bilateral talks between global oil producers ended in agreement on April 13th, with promises to cut petroleum output and hopes rising that these might help stabilize the oil price in the coming weeks. However, with storage facilities and oil tankers quickly filling up, fears grew over where to store excess oil, leading to benchmark prices seeing record negative prices between April 20 and April 22, 2020. How crude oil prices are determined As with most commodities, crude oil prices are impacted by supply and demand, as well as inventories and market sentiment. However, as oil is most often traded in future contracts (where a contract is agreed upon while product delivery will follow in the next two to three months), market speculation is one of the principal determinants for oil prices. Traders make conclusions on how production output and consumer demand will likely develop over the coming months, leaving room for uncertainty. Spot prices differ from futures in so far as they reflect the current market price of a commodity.

Urals Oil fell to 61.56 USD/Bbl on September 19, 2025, down 2.58% from the previous day. Over the past month, Urals Oil's price has fallen 2.43%, and is down 11.91% compared to the same time last year, 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 Urals Crude.

As of the fourth quarter of 2024, oil prices in the United Kingdom stood at 74 dollars per barrel, with prices expected to rise to 76.6 dollars a barrel in early 2025, before gradually falling in subsequent quarters.

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.

Crude Oil Futures: Experts Predict Volatility for S&P GSCI Crude Oil 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

Despite their widespread use as predictors of the spot price of oil, oil futures prices tend to be less accurate in the mean-squared prediction error sense than no-change forecasts. This result is driven by the variability of the futures price about the spot price, as captured by the oil futures spread. This variability can be explained by the marginal convenience yield of oil inventories. Using a two-country, multi-period general equilibrium model of the spot and futures markets for crude oil we show that increased uncertainty about future oil supply shortfalls under plausible assumptions causes the spread to decline. Increased uncertainty also causes precautionary demand for oil to increase, resulting in an immediate increase in the real spot price. Thus the negative of the oil futures spread may be viewed as an indicator of fluctuations in the price of crude oil driven by precautionary demand. An empirical analysis of this indicator provides evidence of how shifts in the uncertainty about future oil supply shortfalls affect the real spot price of crude oil.

Replication data for peer-reviewed article published in Journal of Applied Econometrics. Paper published online February 24, 2010.

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.

Crude Oil Futures: A Hold for the Next 3 Months

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

Why did the Soybean Oil Price Change in July 2025? In Q2 2025, North America’s soybean oil market showed a consistent upward trend with an average quarter-over-quarter price increase of approximately 3.87%, and the soybean oil spot price reaching USD 1,115 per unit in June.

Natural gas rose to 2.85 USD/MMBtu on September 23, 2025, up 1.43% from the previous day. Over the past month, Natural gas's price has risen 1.39%, and is up 1.97% 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.

Palm Oil rose to 4,442 MYR/T on September 22, 2025, up 0.41% from the previous day. Over the past month, Palm Oil's price has fallen 1.14%, but it is still 11.69% higher than a year ago, 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 September of 2025.

In Q1 2025, U.S. sunflower oil prices reflected significant volatility, shaped by evolving supply conditions, shifting demand patterns, and broader macroeconomic pressures. January began with a strong upward trajectory as constrained global sunflower seed production—driven by geopolitical tensions and adverse weather in Ukraine and Russia—led to tighter supply. The USDA projected a 10% drop in global output for the 2024/25 season, while rising soybean oil futures further supported sunflower oil’s price surge.

The WTI Crude Oil Futures Chart provides a visual representation of the historical price movements of West Texas Intermediate (WTI) crude oil. Traders, investors, analysts, and industry professionals utilize the chart to analyze price trends and make informed decisions about buying or selling oil futures contracts. By utilizing technical analysis techniques, users can gain insights into past price behavior and potentially predict future price movements. The chart also offers additional tools and features to

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.

Crude Oil Futures Show Bullish Outlook for S&P GSCI Crude Oil 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

View weekly updates and historical trends for New England Residential Heating Oil Price. from United States. Source: Energy Information Administration. Tr…

Heating oil price in the United States has peaked in winter 2022/23 at 4.31 U.S. dollars per gallon and has decreased ever since. Heating oil is a liquid petroleum product that is, among other things, used in residential buildings as a fuel oil in furnaces or boilers. Chemically, most heating oils are similar to motor diesel fuels and are often sold interchangeably. Forecast heating price in the U.S. The average price of heating oil in the United States in the winter of 2024/25 is expected to reach 3.44 U.S. dollars per gallon. Energy prices are projected to see a decrease this winter, because of increased production of heating fuels. The number of heating degree days, which are the days in which the average temperature is below 18 degrees Celsius (65 degrees Fahrenheit), also helps quantify the energy demand required to heat a building. What determines heating oil price? Generally, heating oil prices are collected during the heating season between October and March. In the U.S., the greatest determining factor for heating oil prices is the WTI crude oil price. Consumers can lower heating oil bills by considering when they purchase, reducing consumption, and through government assistance programs.

The US oil futures price, also known as the WTI (West Texas Intermediate) crude oil price, represents the value of oil contracts for future delivery in the United States. It is an essential benchmark for oil traders, investors, and analysts to understand and predict market trends. Discover the factors that influence oil futures pricing and why it is crucial for traders and investors to closely monitor these prices to make informed decisions in the volatile oil market.