The annual price of West Texas Intermediate (WTI) crude oil is expected to reach an average of 61.81 U.S. dollars per barrel in 2025, according to a May 2025 forecast. This would be a decrease of roughly 15 U.S. dollar compared to the previous year. In the first months weeks of 2025, weekly crude oil prices largely stayed below 70 U.S. dollars per barrel amid trade tariffs and 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.

Crude Oil rose to 66.60 USD/Bbl on July 16, 2025, up 0.12% from the previous day. Over the past month, Crude Oil's price has fallen 9.11%, and is down 18.23% 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 July of 2025.

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

Brent fell to 68.63 USD/Bbl on July 16, 2025, down 0.12% from the previous day. Over the past month, Brent's price has fallen 10.23%, and is down 19.34% 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 July of 2025.

United States - Spot Crude Oil Price: West Texas Intermediate (WTI) was 62.17000 $ per Barrel in May of 2025, according to the United States Federal Reserve. Historically, United States - Spot Crude Oil Price: West Texas Intermediate (WTI) reached a record high of 133.93000 in June of 2008 and a record low of 1.17000 in February of 1946. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Spot Crude Oil Price: West Texas Intermediate (WTI) - last updated from the United States Federal Reserve on July of 2025.

United States EIA Forecast: Crude Oil Price: WTI Spot Average data was reported at 67.000 USD/Barrel in Dec 2019. This stayed constant from the previous number of 67.000 USD/Barrel for Nov 2019. United States EIA Forecast: Crude Oil Price: WTI Spot Average data is updated monthly, averaging 58.250 USD/Barrel from Mar 2016 (Median) to Dec 2019, with 46 observations. The data reached an all-time high of 74.000 USD/Barrel in Oct 2018 and a record low of 32.000 USD/Barrel in Mar 2016. United States EIA Forecast: Crude Oil Price: WTI Spot Average data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s United States – Table US.P003: Energy Price: Forecast: Energy Information Administration.

Interactive chart showing the daily closing price for West Texas Intermediate (NYMEX) Crude Oil over the last 10 years. The prices shown are in U.S. dollars.

Goldman Sachs updates its Brent and WTI crude oil price forecasts, projecting significant declines by 2026 due to economic and geopolitical influences.

Ecuador Crude Oil: Price: Average: Petroleum WTI data was reported at 54.680 USD/Barrel in Jun 2019. This records a decrease from the previous number of 60.730 USD/Barrel for May 2019. Ecuador Crude Oil: Price: Average: Petroleum WTI data is updated monthly, averaging 75.215 USD/Barrel from Jan 2010 (Median) to Jun 2019, with 114 observations. The data reached an all-time high of 109.890 USD/Barrel in Apr 2011 and a record low of 30.330 USD/Barrel in Feb 2016. Ecuador Crude Oil: Price: Average: Petroleum WTI 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.P001: Crude Oil Prices.

This dataset contains Oil price short term forecast, including STEO and historical from 2016-2022. Data from U.S. Energy Information Administration. Follow datasource.kapsarc.org for timely data to advance energy economics research.

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.

As of June 2025, the average annual price of Brent crude oil stood at 71.91 U.S. dollars per barrel. This is over eight U.S. dollars lower than the 2024 average. Brent is the world's leading price benchmark for Atlantic basin crude oils. Crude oil is one of the most closely observed commodity prices as it influences costs across all stages of the production process and consequently alters the price of consumer goods as well. What determines crude oil benchmarks? In the past decade, crude oil prices have been especially volatile. Their inherent inelasticity regarding short-term changes in demand and supply means that oil prices are erratic by nature. However, since the 2009 financial crisis, many commercial developments have greatly contributed to price volatility, such as economic growth by BRIC countries like China and India, and the advent of hydraulic fracturing and horizontal drilling in the U.S. The outbreak of the coronavirus pandemic and the Russia-Ukraine war are examples of geopolitical events dictating prices. Light crude oils - Brent and WTI Brent Crude is considered a classification of sweet light crude oil and acts as a benchmark price for oil around the world. It is considered a sweet light crude oil due to its low sulfur content and low density and may be easily refined into gasoline. This oil originates in the North Sea and comprises several different oil blends, including Brent Blend and Ekofisk crude. Often, this crude oil is refined in Northwest Europe. Another sweet light oil often referenced alongside UK Brent is West Texas Intermediate (WTI). WTI oil prices amounted to 76.55 U.S. dollars per barrel in 2024.

Urals Oil fell to 65.46 USD/Bbl on July 15, 2025, down 0.09% from the previous day. Over the past month, Urals Oil's price has fallen 2.27%, and is down 18.90% 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.

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.

Graph and download economic data for Spot Crude Oil Price: West Texas Intermediate (WTI) (WTISPLC) from Jan 1946 to Jun 2025 about WTI, crude, oil, price, and USA.

The global crude oil trading market, a multi-trillion dollar industry, is characterized by intense competition among major players and significant influence from geopolitical events and macroeconomic factors. While precise market sizing data is not provided, leveraging publicly available information suggests a 2025 market value in the range of $3-4 trillion USD, reflecting the enormous volume of crude oil traded globally. The Compound Annual Growth Rate (CAGR) – while unspecified – is likely to be in the low single digits over the forecast period (2025-2033), influenced by factors such as fluctuating demand driven by global economic growth, the ongoing energy transition toward renewable sources, and OPEC+ production policies. Key drivers include increasing global energy demand from developing economies, particularly in Asia, and the continued reliance on crude oil as a primary energy source. Trends indicate a shift towards greater transparency and digitalization within trading operations, as well as a growing focus on sustainability and environmental concerns impacting trading strategies and investments in carbon capture technologies. Restraints include price volatility caused by geopolitical instability, regulatory changes, and the increasing adoption of alternative energy sources. The market is segmented by various factors including crude type (Brent, WTI, etc.), trading location (spot, futures, etc.), and geographical regions. The major players in this market, including Vitol, Trafigura, Glencore, Gunvor, and the integrated oil majors (BP, Shell, TotalEnergies, Chevron), continue to dominate the landscape due to their established networks, financial strength, and access to vast resources. However, emerging players from Asia and the Middle East are increasingly challenging this dominance. Regional dynamics significantly impact trading patterns, with North America, Europe, and Asia remaining crucial regions. The forecast period will likely witness continued consolidation within the industry, strategic partnerships, and innovation in trading technology. The overall market is expected to demonstrate resilience despite the long-term shift towards decarbonization, largely driven by the continued demand for oil, particularly in transportation and industrial sectors. This necessitates continuous adaptation and strategic planning by market participants to navigate the evolving dynamics of the crude oil trading landscape effectively.

Germany Commodity Price: Energy Resources: WTI Crude Oil data was reported at 61.800 USD/Barrel in 16 May 2025. This records a decrease from the previous number of 61.803 USD/Barrel for 15 May 2025. Germany Commodity Price: Energy Resources: WTI Crude Oil data is updated daily, averaging 66.802 USD/Barrel from Jan 2013 (Median) to 16 May 2025, with 3134 observations. The data reached an all-time high of 124.851 USD/Barrel in 08 Mar 2022 and a record low of 10.145 USD/Barrel in 21 Apr 2020. Germany Commodity Price: Energy Resources: WTI Crude Oil data remains active status in CEIC and is reported by Deutsche Börse Group. The data is categorized under Global Database’s Germany – Table DE.P: Commodity Prices. [COVID-19-IMPACT]

Ecuador WTI Crude Oil Basket Spread: Petroecuador data was reported at 2.200 USD/Barrel in Oct 2018. This records a decrease from the previous number of 3.400 USD/Barrel for Sep 2018. Ecuador WTI Crude Oil Basket Spread: Petroecuador data is updated monthly, averaging 5.200 USD/Barrel from Jan 1991 (Median) to Oct 2018, with 334 observations. The data reached an all-time high of 18.450 USD/Barrel in Jul 2008 and a record low of -8.600 USD/Barrel in Apr 2012. Ecuador WTI Crude Oil Basket 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.

United States - Crude Oil Prices: West Texas Intermediate (WTI) - Cushing, Oklahoma was 76.63000 $ per Barrel in January of 2024, according to the United States Federal Reserve. Historically, United States - Crude Oil Prices: West Texas Intermediate (WTI) - Cushing, Oklahoma reached a record high of 99.67000 in January of 2008 and a record low of 14.42000 in January of 1998. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Crude Oil Prices: West Texas Intermediate (WTI) - Cushing, Oklahoma - last updated from the United States Federal Reserve on June of 2025.

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.