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.

The WTI oil forecast is a projection of the future price movement of West Texas Intermediate (WTI) crude oil. Traders, investors, and analysts closely monitor these forecasts to make informed decisions regarding oil-related investments and trading strategies. Factors such as supply and demand dynamics, geopolitical events, economic indicators, and weather conditions influence the WTI oil forecast. Different analysis methods including technical analysis, fundamental analysis, and sentiment analysis are used

The WTI (West Texas Intermediate) crude dataset is a time series dataset that contains daily historical prices of WTI crude oil. It provides the market price of crude oil per barrel in USD for each day from the past till the present.

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.

Crude Oil fell to 58.47 USD/Bbl on October 14, 2025, down 1.83% from the previous day. Over the past month, Crude Oil's price has fallen 7.63%, and is down 17.16% 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 October of 2025.

On October 6, 2025, the Brent crude oil price stood at 65.55 U.S. dollars per barrel, compared to 61.69 U.S. dollars for WTI oil and 66.26 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.

Learn about the various factors that influence the forecast for WTI (West Texas Intermediate) crude oil, including geopolitical tensions, OPEC & non-OPEC production, economic outlook, supply and demand dynamics, crude oil inventories, environmental and renewable energy policies, and speculative trading. Understand the challenges of accurate forecasting and the importance of consulting a professional before making investment decisions.

Historical AI model predictions and analysis for Crude Oil (WTI) stock across multiple timeframes and confidence levels

View market daily updates and historical trends for WTI Crude Oil Spot Price. Source: Energy Information Administration. Track economic data with YCharts …

Ecuador WTI Napo Crude Oil Spread: Petroecuador data was reported at 5.700 USD/Barrel in Oct 2018. This records a decrease from the previous number of 8.800 USD/Barrel for Sep 2018. Ecuador WTI Napo Crude Oil Spread: Petroecuador data is updated monthly, averaging 10.300 USD/Barrel from May 2006 (Median) to Oct 2018, with 150 observations. The data reached an all-time high of 26.290 USD/Barrel in Jul 2008 and a record low of -6.210 USD/Barrel in Mar 2012. Ecuador WTI Napo Crude Oil Spread: Petroecuador data remains active status in CEIC and is reported by Central Bank of Ecuador. The data is categorized under Global Database’s Ecuador – Table EC.RB002: Crude Oil Prices: West Texas Intermediate Spreads.

Ecuador WTI Crude Oil Basket Spread data was reported at 3.900 USD/Barrel in Sep 2018. This records a decrease from the previous number of 6.800 USD/Barrel for Aug 2018. Ecuador WTI Crude Oil Basket Spread data is updated monthly, averaging 4.620 USD/Barrel from Jan 1984 (Median) to Sep 2018, with 417 observations. The data reached an all-time high of 19.000 USD/Barrel in Jul 2008 and a record low of -14.190 USD/Barrel in Oct 2011. Ecuador WTI Crude Oil Basket Spread data remains active status in CEIC and is reported by Central Bank of Ecuador. The data is categorized under Global Database’s Ecuador – Table EC.RB002: Crude Oil Prices: West Texas Intermediate Spreads.

Analysis of the bearish oil price outlook as US shale producers cut spending and major banks lower forecasts, with the EIA predicting a potential slump to $50 per barrel in 2026 due to global oversupply.

Ecuador WTI East Sour Crude Oil Spread: Petroecuador data was reported at 0.500 USD/Barrel in Sep 2018. This records a decrease from the previous number of 3.500 USD/Barrel for Aug 2018. Ecuador WTI East Sour Crude Oil Spread: Petroecuador data is updated monthly, averaging 4.900 USD/Barrel from Jan 1991 (Median) to Sep 2018, with 333 observations. The data reached an all-time high of 17.680 USD/Barrel in Jan 2005 and a record low of -10.400 USD/Barrel in Apr 2012. Ecuador WTI East Sour Crude Oil Spread: Petroecuador data remains active status in CEIC and is reported by Central Bank of Ecuador. The data is categorized under Global Database’s Ecuador – Table EC.RB004: Crude Oil Prices: West Texas Intermediate Spreads.

This statistic displays a global forecast on oil prices by quarter in 2015, for UK Brent and West Texas Intermediate (WTI). In the first quarter of 2015, Brent oil prices is predicted to reach ** U.S. dollars per barrel.

Deterministic and stochastic are two methods for modeling of crude oil and bottled water market. Forecasting the price of the market directly affected energy producer and water user.There are two software, Tableau and Python, which are utilized to model and visualize both markets for the aim of estimating possible price in the future.The role of those software is to provide an optimal alternative with different methods (deterministic versus stochastic). The base of predicted price in Tableau is deterministic—global optimization and time series. In contrast, Monte Carlo simulation as a stochastic method is modeled by Python software. The purpose of the project is, first, to predict the price of crude oil and bottled water with stochastic (Monte Carlo simulation) and deterministic (Tableau software),second, to compare the prices in a case study of Crude Oil Prices: West Texas Intermediate (WTI) and the U.S. bottled water. 1. Introduction Predicting stock and stock price index is challenging due to uncertainties involved. We can analyze with a different aspect; the investors perform before investing in a stock or the evaluation of stocks by means of studying statistics generated by market activity such as past prices and volumes. The data analysis attempt to identify stock patterns and trends that may predict the estimation price in the future. Initially, the classical regression (deterministic) methods were used to predict stock trends; furthermore, the uncertainty (stochastic) methods were used to forecast as same as deterministic. According to Deterministic versus stochastic volatility: implications for option pricing models (1997), Paul Brockman & Mustafa Chowdhury researched that the stock return volatility is deterministic or stochastic. They reported that “Results reported herein add support to the growing literature on preference-based stochastic volatility models and generally reject the notion of deterministic volatility” (Pag.499). For this argument, we need to research for modeling forecasting historical data with two software (Tableau and Python). In order to forecast analyze Tableau feature, the software automatically chooses the best of up to eight models which generates the highest quality forecast. According to the manual of Tableau , Tableau assesses forecast quality optimize the smoothing of each model. The optimization model is global. The main part of the model is a taxonomy of exponential smoothing that analyzes the best eight models with enough data. The real- world data generating process is a part of the forecast feature and to support deterministic method. Therefore, Tableau forecast feature is illustrated the best possible price in the future by deterministic (time – series and prices). Monte Carlo simulation (MCs) is modeled by Python, which is predicted the floating stock market index . Forecasting the stock market by Monte Carlo demonstrates in mathematics to solve various problems by generating suitable random numbers and observing that fraction of the numbers that obeys some property or properties. The method utilizes to obtain numerical solutions to problems too complicated to solve analytically. It randomly generates thousands of series representing potential outcomes for possible returns. Therefore, the variable price is the base of a random number between possible spot price between 2002-2016 that present a stochastic method.

Goldman Sachs updates its 2025 oil price forecasts, anticipating higher Brent and WTI prices due to potential supply disruptions and market dynamics.

Oil prices have dropped to pandemic-era lows, influenced by economic growth worries and increased supply forecasts. Brent crude and WTI see significant declines, impacting major oil stocks and raising recession concerns.

Gas and petroleum wholesaling prices are tied to global crude oil prices, which can cause significant volatility for companies. Crude oil prices rose sharply prior to the start of the period amid rising global economic activity and increasing demand, which translated to strong revenue growth. In 2020, the world price of crude oil plunged as lockdowns and economic uncertainty reduced downstream demand for oil and gas products. However, large increases in oil prices during 2021 and 2022 contributed to solid industry revenue growth as the economy boomed. In response to high inflation and rising interest rates, a cooling economy is expected to have weakened revenue growth in recent years. Industry revenue is expected to grow at a CAGR of 4.5% to $257.2 billion through the end of 2024, with further growth of 1.1% forecast for the current year due to expected increases in oil prices. Wholesalers generate profit by purchasing crude oil from bulk stations and selling it to retail outlets. The price of retail gasoline and crude oil strongly influence profit. Retail gasoline prices are a function of domestic demand for fuel, which may differ from the global supply and demand. Profit tends to be very low for wholesalers in this industry. In 2020, profit fell sharply because of falling prices alongside poor overall economic activity. Through the end of 2024 industry profit, defined as earnings before interest and taxes, is expected to account for 1.7% of revenue. Revenue is expected to decline moderately as oil prices are expected to fall from recent highs. Expected growth in the overall domestic economy and more robust construction activity will likely ease this forecast decline in industry revenue. The anticipated expansion in domestic pipeline infrastructure is likely to bolster petroleum exports, benefiting downstream demand. However, wholesalers will also endure severe threats from technologies that accelerate the adoption of renewable energy, which may cause a considerable reduction in demand for gasoline and petroleum. Industry revenue is forecast to decline at a CAGR of 0.5% to $250.9 billion through the end of 2029.