Crude Oil fell to 59.17 USD/Bbl on December 2, 2025, down 0.25% from the previous day. Over the past month, Crude Oil's price has fallen 3.08%, and is down 15.40% 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 December of 2025.

Explore the dynamics of the 2023 crude oil market influenced by supply chain disruptions, geopolitical tensions, OPEC+ strategies, Russian sanctions, and shifts toward renewable energy amidst a global economic recovery.

Stay updated with live crude oil news covering dynamic price fluctuations, geopolitical tensions, supply-demand shifts, and technological advancements. Essential insights for traders, investors, and policymakers in the ever-evolving oil industry.

Brent fell to 63.05 USD/Bbl on December 2, 2025, down 0.19% from the previous day. Over the past month, Brent's price has fallen 2.84%, and is down 14.36% 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 December of 2025.

The data is about crude oil news - Author - Title - short description of news - URL of news - Content of News

This data could use for NLP projects

If you like and download the dataset please upvote :)

Today's crude oil trading news covers significant developments including OPEC+ production cuts, global demand surge, Iran nuclear deal talks, US crude oil inventories, and environmental concerns. Stay informed to navigate this dynamic market.

On October 27, 2025, the Brent crude oil price stood at 65.14 U.S. dollars per barrel, compared to 61.31 U.S. dollars for WTI oil and 67.54 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.

Scope: Brent crude and refined products narrative intelligence, events, forecasting, and fundamental indices. Sources: ~50,000+ news/articles & market events/day (deduped), structured in milliseconds. Update cadence: Real-time; weekly roll-ups; 6-month forecasts on refresh. Use cases: Signal discovery, event monitoring, price commentary, scenario analysis, model calibration, risk. Entities & grain MarketCommentary — 1 per asset/period; narrative paragraph(s). WeeklyRoundup — 1 per week per asset; week-level narrative. Event — real-time; one row per detected story/event instance. Forecast — point-in-time forecast set (current price, expected, range, path). FundamentalIndex — time series at hourly cadence (or higher) across indexed factors. Key fields & semantics Timestamps are ISO-8601 UTC. Prices in USD by default (field includes currency). Sentiment: {Positive, Negative, Neutral}. Scope: {ASSET, MACRO, SECTOR} (extensible). Importance: integer scale (1–5 recommended).

The crude oil market is experiencing volatility due to geopolitical tensions, the coronavirus outbreak, production cuts, increasing US oil production, and the shift towards cleaner energy sources.

The crude oil share market is heavily influenced by geopolitical events, supply and demand dynamics, technological advancements, and environmental regulations. This article explores the factors that impact crude oil prices and share market, and highlights the importance of staying informed for investors in this dynamic sector.

API Crude Oil Stock Change in the United States decreased to -2.48 BBL/1Million in November 28 from -1.90 BBL/1Million in the previous week. This dataset provides - United States API Crude Oil Stock Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Stocks of crude oil in the United States increased by 2.77million barrels in the week ending November 21 of 2025. This dataset provides the latest reported value for - United States Crude Oil Stocks Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Crude Oil Imports in the United States increased to 1046 Thousand Barrels in November 21 from -614 Thousand Barrels in the previous week. This dataset provides - United States Crude Oil Imports- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Palm Oil rose to 4,134 MYR/T on December 2, 2025, up 1.00% from the previous day. Over the past month, Palm Oil's price has risen 0.46%, but it is still 18.56% lower 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 December of 2025.

Monthly and long-term wti crude oil price data (US$/bbl): historical series and analyst forecasts curated by FocusEconomics.

The price of US crude oil has been heavily influenced by factors such as global supply and demand, geopolitical tensions, and market speculation. This article explores the impact of these factors on oil prices, including the effects of the COVID-19 pandemic and the shale revolution. It also discusses the historic collapse of oil prices in 2020 and the subsequent recovery, as well as the factors that will shape the future of US crude oil prices.

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

Crude Oil Production in Bangladesh remained unchanged at 3 BBL/D/1K in July. This dataset provides - Bangladesh Crude Oil Production - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Oil futures prices remain unchanged as traders watch for the impact of new COVID-19 variants and OPEC+ meeting outcomes. The US-Iran negotiations and latest inventory data also influence oil prices.

The Brent Crude Oil Price Market Sentiment – Sample Data dataset provides structured insights into the supply and demand narratives shaping global oil prices. Each entry captures event-driven sentiment with timestamps, directional signals (up/down), topic classification, and market context, allowing traders to track how fundamental developments impact Brent pricing. For the period 11–16 May 2025, key drivers include: Bullish sentiment from OPEC+ production cuts (-1.5m bpd), Libyan supply disruptions (-300k bpd), and rising Chinese demand (+15% YoY imports). Bearish sentiment from U.S. Strategic Petroleum Reserve releases (25m barrels) and Saudi Arabia’s planned production increase (+400k bpd). Exploration impact with the Sirari West X1 oil discovery boosting future supply narratives. By consolidating geopolitical, supply, and demand events, this dataset allows systematic and quantitative traders to backtest how narrative flows align with Brent price movements. It functions as a source of leading indicators, helping desks anticipate volatility, refine trading models, and adjust exposure to energy markets.