Crude Oil rose to 68.75 USD/Bbl on July 11, 2025, up 3.27% from the previous day. Over the past month, Crude Oil's price has risen 1.04%, but it is still 16.37% lower than a year ago, 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.

Brent rose to 70.69 USD/Bbl on July 11, 2025, up 2.99% from the previous day. Over the past month, Brent's price has risen 1.92%, but it is still 16.86% lower than a year ago, 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.

The global oil trading market, a multi-trillion dollar industry, is characterized by intense competition among major players and significant influence from geopolitical events and energy transition initiatives. While precise market sizing data is unavailable, based on typical industry CAGR (let's assume a conservative 3% for illustration), and a 2025 estimated market value (let’s assume $2 trillion for illustrative purposes), the market is projected to experience steady growth through 2033. Key drivers include the persistent global demand for oil despite the rise of renewable energy, particularly in emerging economies with rapidly industrializing sectors and growing transportation needs. Furthermore, fluctuating geopolitical situations often lead to price volatility and increased trading activity, creating opportunities for established players. However, the transition to cleaner energy sources, stringent environmental regulations, and investments in alternative fuels pose significant restraints on long-term growth. Segmentation within the market reveals considerable activity in both fuel and industrial applications, with crude oil dominating the product types, followed by refined oil. The largest players, including Vitol, Trafigura, Glencore, and BP, exert considerable influence over pricing and supply chains, demonstrating the market's consolidated nature. Regional analysis showcases substantial participation from North America, Europe, and Asia Pacific, with China and the Middle East playing crucial roles as both consumers and producers. The future of the oil trading market hinges on several key factors. The pace of the global energy transition will profoundly impact demand, with a potential shift towards sustainable alternatives gradually reducing reliance on fossil fuels. However, the projected growth in energy consumption in developing nations suggests that oil will remain a significant commodity for the foreseeable future, albeit with a possibly slower growth rate. Further, volatile global economics and geopolitical stability, along with technological advancements in oil extraction and refining, will continue to shape market dynamics. Companies will need to adapt to evolving regulations and consumer preferences, possibly through diversification into renewable energy sectors or carbon capture technologies to ensure long-term sustainability and competitiveness. Strategic partnerships and mergers and acquisitions are likely to play a significant role in shaping market consolidation and competitive landscape in the years to come.

Crude oil trading price refers to the value at which crude oil is bought and sold in financial markets. Factors affecting crude oil prices include supply and demand, OPEC policies, geopolitical events, economic indicators, and market speculation. Crude oil is primarily traded on the NYMEX and ICE exchanges. Changes in crude oil prices impact consumers, producers, investors, and the global economy. Understanding these factors is crucial for analyzing and predicting crude oil price movements.

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.

S&P GSCI Crude Oil Index: A Reliable Gauge of Global Oil Prices?

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

On July 7, 2025, the Brent crude oil price stood at 69.62 U.S. dollars per barrel, compared to 67.93 U.S. dollars for WTI oil and 69.92 U.S. dollars for the OPEC basket. Prices rose slightly that week, following signs of an increase in demand.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 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 (whereby a contract is agreed upon, while the 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 Brent crude oil trading, the process of buying and selling Brent crude oil futures contracts on various commodity exchanges. Discover how traders can participate in this highly liquid market and manage their exposure to oil price fluctuations.

Palm Oil rose to 4,175 MYR/T on July 11, 2025, up 0.68% from the previous day. Over the past month, Palm Oil's price has risen 8.72%, and is up 6.67% 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 July of 2025.

Oil trading is the process of buying and selling crude oil, refined oil products, and natural gas liquids (NGLs) in various markets around the world. This article discusses the value chain of oil trading, including exploration companies, refineries, transportation and storage providers, and end-users. Factors such as supply and demand, geopolitical events, and economic indicators impact oil prices and trading strategies. Electronic trading platforms have also revolutionized the industry, making oil trading

Crude oil trading days are crucial in determining the price of oil and its derivatives. This article explains how these days work, the factors that influence them, and the strategies used by traders and investors to profit from price movements.

This statistic shows the stock price development of selected petroleum companies from January 2, 2020 to April 15, 2024. After the Russian invasion of Ukraine in February 2022, oil prices increased sharply in the first quarter of 2022 since many countries depend on Russian oil. Petroleum companies highly benefited from inclined oil prices, and saw significant increases in their share prices.

The Crude Oil Trading market, a vital component of the global economy, serves as the backbone for numerous industries, ranging from transportation to manufacturing. As a primary energy source, crude oil fuels vehicles, powers plants, and even influences the prices of consumer goods, showcasing its indispensable role

The oil trading market plays a pivotal role in the global economy, serving as the backbone for industries reliant on crude oil and refined products. With its intricate webs of supply chains, pricing dynamics, and trading platforms, oil trading facilitates the movement of this critical resource from producers to cons

China Commodity Trading Market over 100 M Yuan: Turnover by Category: Grain and Oil data was reported at 391.152 RMB bn in 2023. This records a decrease from the previous number of 403.513 RMB bn for 2022. China Commodity Trading Market over 100 M Yuan: Turnover by Category: Grain and Oil data is updated yearly, averaging 373.643 RMB bn from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 495.740 RMB bn in 2021 and a record low of 155.238 RMB bn in 2008. China Commodity Trading Market over 100 M Yuan: Turnover by Category: Grain and Oil data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJA: Commodity Trading Market over 100 Million Yuan: Turnover by Category.

Quantification and analysis of global oil trade networks reveals deep insights into a nation's development and influence at a global scale. Further

The Over-the-Counter (OTC) energy trading platform market is experiencing robust growth, driven by increasing demand for efficient and transparent energy trading solutions across various energy sources. The market, estimated at $50 billion in 2025, is projected to expand significantly, fueled by a Compound Annual Growth Rate (CAGR) of 8% between 2025 and 2033. This growth is underpinned by several key factors. Firstly, the increasing volatility and complexity of energy markets necessitate sophisticated platforms capable of handling a large volume of trades across multiple energy commodities. Secondly, regulatory changes promoting market transparency and efficiency are driving the adoption of electronic trading platforms. Thirdly, the rise of renewable energy sources, such as wind and solar power, adds further complexity to energy trading, making OTC platforms with robust functionalities crucial for effective management. Finally, the expansion of global energy trading networks and the increased participation of both enterprise and individual traders are contributing to the market's expansion. The growth is expected to be particularly strong in regions with burgeoning energy markets and robust regulatory frameworks, such as North America and Europe. The OTC energy trading platform market is segmented by application (enterprise and individual) and type of energy traded (crude oil, electricity, natural gas, wind power, coal, and others). The enterprise segment currently dominates the market due to its higher trading volumes and advanced technological needs. However, the individual trading segment is witnessing rapid growth, driven by increased accessibility and user-friendly platforms. Geographically, North America holds a significant market share, followed by Europe and Asia Pacific. However, emerging economies in Asia Pacific and the Middle East & Africa present lucrative growth opportunities due to their expanding energy sectors and rising demand for energy trading solutions. While the market faces restraints like cybersecurity concerns and the need for continuous technological upgrades, the overall positive outlook for energy trading and the advantages offered by advanced platforms suggest a sustained period of significant market expansion. Competition among established players and new entrants is intense, prompting innovation and continuous improvement in platform features and services.

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 the Heating Oil Index a Reliable Indicator of Market Trends?

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 2025 annual OPEC oil price stood at ***** U.S. dollars per barrel, as of May. 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.

China Commodity Trading Market over 100 M Yuan: Operating Area: Grain and Oil Market data was reported at 2,833.585 sq m th in 2023. This records a decrease from the previous number of 2,885.414 sq m th for 2022. China Commodity Trading Market over 100 M Yuan: Operating Area: Grain and Oil Market data is updated yearly, averaging 3,598.600 sq m th from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 4,550.900 sq m th in 2010 and a record low of 2,833.585 sq m th in 2023. China Commodity Trading Market over 100 M Yuan: Operating Area: Grain and Oil Market data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJA: Commodity Trading Market over 100 Million Yuan: Operating Area.

Learn about the factors influencing the crude oil stock market, including supply and demand dynamics, geopolitical tensions, and economic indicators. Discover how the COVID-19 pandemic impacted crude oil prices and explore investment opportunities in futures contracts, ETFs, and energy company stocks.