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A comprehensive dataset for WTI crude oil price prediction, combining key economic indicators and oil industry metrics from 2005-2024. Features include: - EUR/USD exchange rates - Oil inventory levels - Production volumes - Rig counts - Inflation rates - Technical indicators (rolling averages)
Data sourced from EIA and FRED APIs, processed and engineered for time series forecasting. Ideal for price prediction models and market analysis.
Dataset prepared with proper cleaning and feature engineering.
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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.
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The Brent Crude Oil Price is the international benchmark price for oil and a leading indicator of global oil prices. This article discusses the factors influencing its price, including supply and demand dynamics, geopolitical events, and economic conditions. It also explores the significant volatility experienced in recent years and the impact of the COVID-19 pandemic on oil prices. With constant fluctuations, the price of Brent crude remains a closely watched indicator of the global oil market.
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Crude oil is an essential commodity that is used in almost every aspect of modern life. Its price fluctuations have a significant impact on global economies, especially for countries that heavily depend on oil exports. In this dataset, we will explore the fluctuations of crude oil prices over the past 48 years, from 1974 to 2022, and examine the key factors that have influenced these fluctuations. The dataset provides a valuable resource for researchers and analysts interested in studying the fluctuations in crude oil prices over the past four decades. It can be used to identify patterns and trends in the market, as well as to develop predictive models for future price movements.
Overall, the Fluctuations of Crude Oil Price dataset is a valuable resource for anyone interested in understanding the dynamics of the global oil market.
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TwitterThe 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.
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Thailand (DC)Leading Index: sa: BOT: Oil Price Index, Oman data was reported at 0.760 NA in Feb 2000. This records a decrease from the previous number of 0.810 NA for Jan 2000. Thailand (DC)Leading Index: sa: BOT: Oil Price Index, Oman data is updated monthly, averaging 1.275 NA from Jan 1986 (Median) to Feb 2000, with 170 observations. The data reached an all-time high of 2.498 NA in Jul 1986 and a record low of 0.710 NA in Oct 1990. Thailand (DC)Leading Index: sa: BOT: Oil Price Index, Oman data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.S002: Business Cycle Indicators: Bank of Thailand.
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Learn how fluctuations in oil prices can impact the stock market, affecting different sectors and industries. Discover the factors that influence the relationship between oil prices and stocks, including geopolitical events and economic conditions. Understand why investors closely monitor oil prices as leading indicators of economic performance.
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TwitterAs of the third quarter of 2025, oil prices in the United Kingdom stood at 68.1 dollars per barrel, with prices expected to fall to 65 dollars a barrel in the fourth quarter of the year.
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This dataset contains global crude oil import prices from the OECD. It provides important insight into international trading of oil and its related products, enabling users to analyse market trends and compare prices across different countries. This data is essential for understanding the development of different economies, as well as their dependence on crude oil imports. Through analysis of this dataset, users can understand the role that regional and global factors play in impacting global crude oil import prices over time. The dataset includes columns tracking country/region of origin (LOCATION), indicator measured (INDICATOR), subject tracked (SUBJECT), measure taken (MEASURE), frequency interval (FREQUENCY), time period covered (TIME) as well as numerical value and flag codes associated with the data captured in each row. This invaluable source is perfect for researchers looking to take a deep dive into international markets over time or academics studying the complexities surrounding trade in the energy sector!
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This dataset is a great resource for anyone looking to analyze the current and historical prices of crude oil imports from the OECD. The data contains prices from member countries of the OECD and is updated regularly. This dataset can be used to study long term trends in price as well as explore differences between countries with different levels of crude oil import demand.
In order to make use of this dataset, it’s important to familiarize yourself with the column names and descriptions. The first column is LOCATION which indicates which country or region the data applies to. INDICATOR indicates what information is being displayed (e.g., import market share, import value, etc.). SUBJECT describes what category that metric falls into (e.g., fuel energy). MEASURE tells you whether an amount is expressed in a unit or currency while FREQUENCY says how often data has been collected: monthly, quarterly or annually (average monthly/quarterly/annual etc..). TIME displays measure period start date in year-month format and Value denotes numerical value for each row's measurement respectively while flag codes indicate if any values are estimates or outlier measurements that should be examined further before using them
Using this understanding, one could filter their search by creating filters on these columns accordingly depending on their research topic such as – pulling all records for China for Q4 2019 - then apply sorting on “VALUE” column based on imported measurements have become cheaper during given time frame etc.. Additionally formulas like SUMIFS() can also be used across multiple columns available within this agreement document at same time such as – total Imports Value from India & Japan combined during May 2019 till October 2020 – based upon bringing together Matching condition criteria met across few columns where needed at same time . As such this dataset provides flexible solutions which potentially allow us to explore patterns related either just single country's current trends -or- cross references since global side-by-side evaluation possible here featuring more than just one nation alone too ...........
- Analyzing the impact of changes in crude oil prices on global economic growth.
- Examining the evolving dynamics of crude oil trade flows between different countries and regions.
- Tracking trends in crude oil import prices across different industries to identify potential opportunities for cost savings and efficiency gains
If you use this dataset in your research, please credit the original authors. Data Source
License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.
File: crude_oil_import_prices.csv | Column name | Description ...
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Crude Oil Price: Indonesia data was reported at 61.320 USD/Barrel in Jul 2019. This records an increase from the previous number of 60.990 USD/Barrel for Jun 2019. Crude Oil Price: Indonesia data is updated monthly, averaging 42.500 USD/Barrel from Dec 1991 (Median) to Jul 2019, with 332 observations. The data reached an all-time high of 134.960 USD/Barrel in Jul 2008 and a record low of 9.990 USD/Barrel in Dec 1998. Crude Oil Price: Indonesia data remains active status in CEIC and is reported by Directorate General of Oil and Gas. The data is categorized under Global Database’s Indonesia – Table ID.PC001: Retail Price: By Major Commodities.
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This study investigates the relationship between consumer sentiment (CONS), inflation expectations (INEX) and international energy prices, drawing on principles from behavioral. We focus on Brent crude oil price and Henry Hub natural gas prices as key indicators of energy market dynamics. Based on the monthly data from January 2003 to March 2023, three wavelet methods are applied to examine the time-frequency linkage, while the nonlinear distributed lag model (NARDL) is used to verify the asymmetric impact of two factors on energy prices. The results highlight a substantial connection between consumer sentiment, inflation expectations and international energy prices, with the former in the short term and the latter in the medium to long term. Especially, these correlations are particularly pronounced during the financial crisis and global health emergencies, such as the COVID-19 epidemic. Furthermore, we detect short-term asymmetric effects of consumer sentiment and inflation expectations on Brent crude oil price, with the negative shocks dominating. The positive effects of these factors on oil prices contribute to observed long-term asymmetry. In contrast, inflation expectations have short-term and long-run asymmetric effects on natural gas price, and both are dominated by reverse shocks, while the impact of consumer sentiment on natural gas prices appears to be less asymmetric. This study could enrich current theories on the interaction between the international energy market and serve as a supplement to current literature.
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Indonesia Crude Oil Price: NSC/Katapa/Arbei data was reported at 64.310 USD/Barrel in Jul 2019. This records an increase from the previous number of 64.260 USD/Barrel for Jun 2019. Indonesia Crude Oil Price: NSC/Katapa/Arbei data is updated monthly, averaging 73.900 USD/Barrel from Jan 2006 (Median) to Jul 2019, with 163 observations. The data reached an all-time high of 139.560 USD/Barrel in Jul 2008 and a record low of 29.060 USD/Barrel in Jan 2016. Indonesia Crude Oil Price: NSC/Katapa/Arbei data remains active status in CEIC and is reported by Directorate General of Oil and Gas. The data is categorized under Global Database’s Indonesia – Table ID.RBH003: Crude Oil Price.
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The national crude oil price is a key indicator of the health and stability of a country's economy. Learn about the factors influencing national crude oil prices and the impact it has on inflation, energy costs, investments, stock markets, and government revenue.
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Graph and download economic data for Consumer Price Index: OECD Groups: Energy (Fuel, Electricity, and Gasoline): Total for United States (CPGREN01USM657N) from Jan 1960 to Dec 2023 about fuels, electricity, energy, gas, CPI, price index, indexes, price, and USA.
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TwitterThe projected fiscal breakeven oil price in the United Arab Emirates (UAE) in 2025 was ** U.S. dollars per barrel. This represented a decrease from over ** U.S. dollars per barrel in 2023. Fiscal breakeven oil price as an indicator For the countries whose economies rely heavily on oil revenues, the fiscal breakeven oil price serves as an indicator of the country’s financial state. More specifically, it is the minimum barrel price the nation needs to cover its budget expenditures. For instance, the fiscal breakeven oil price in Kuwait was projected to be around ** U.S. dollars per barrel in 2025, while that of Qatar about ** U.S. dollars per barrel. This implies that the Qatari economy may be more resilient to oil price shocks than Kuwait, since it can endure lower prices. The UAE, fossil fuels, and sustainability Similar to other economies in the region, the UAE had a relatively high share of GDP attributed to oil and gas production. The UAE has large oil reserves, listing among the leading countries in terms of proved oil reserves worldwide. Nevertheless, an economy built around fossil fuels is harmful to the environment and susceptible to oil price shocks, and therefore unsustainable. For these reasons, the Emirati government has devised strategies to build a more resilient economy, that is less dependent on fossil fuels. For example, the planned energy distribution in the UAE aims for renewable energy sources to make up ** percent of the total by 2050.
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Iceland SI Forecast: Oil Price: YoY data was reported at 1.700 % in 2023. This records an increase from the previous number of 1.500 % for 2022. Iceland SI Forecast: Oil Price: YoY data is updated yearly, averaging 1.500 % from Dec 2017 (Median) to 2023, with 7 observations. The data reached an all-time high of 23.200 % in 2017 and a record low of 0.500 % in 2019. Iceland SI Forecast: Oil Price: YoY data remains active status in CEIC and is reported by Statistics Iceland . The data is categorized under Global Database’s Iceland – Table IS.P003: Key Prices: Forecast: Statistics Iceland.
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Today, the Dow Jones Crude Oil Prices have shown a significant increase. Find out the key factors impacting the rise in oil prices, including OPEC+ production cuts, COVID-19 vaccine rollout, geopolitical tensions, and global economic indicators. Understand why crude oil prices are volatile and the implications for investors, energy companies, and governments worldwide.
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TwitterExplore the latest data on Bahrain's oil and non-oil sector GDP at current and constant prices. Gain insights into key economic indicators such as Net Exports, Gross Domestic Saving, and GNI per capita. Access the dataset now!
Net Current Transfer From Abroad, Oil sector GDP, Oil sector % of GDP, Total Final Consumption : Government, Total Final Consumption : Government (Annual Growth), Constant prices, GNDI Per capita (BD), Total Final Consumption : Private (Annual Growth), Total Final Consumption, Net Primary Income and Current Transfer (as % of GDP), Government % of GDP, Non-oil sector % of GDP, Change in Stocks, Population, Gross Fixed Capital Formation : Government, GDP per capita (BD), Gross National Disposable Income (GNDI), Domestic Saving, Gross (% of GDP), Gross Domestic Product (GDP), National Saving, Gross (% of GDP), Net Exports Goods & Services (% of GDP), Gross Fixed Capital Formation : Private, Current Prices, Total Final Consumption % of GDP, Domestic Saving, Gross, Non-oil sector GDP, Total Final Consumption (Annual Growth), Imports of Goods & Services, Oil sector (Annual Growth), National Saving, Gross, GNI per capita (BD), Non-oil sector (Annual Growth), Total Final Consumption : Private, Gross Fixed Capital Formation : Government (% of GDP), Gross Fixed Capital Formation : Private (% of GDP), Net Exports of Goods & Services, Gross National Income (GNI), Private % of GDP, Gross Fixed Capital Formation, Imports of Goods & Services (% of GDP), Gross Fixed Capital Formation (% of GDP), Exports of Goods & Services (% of GDP), Net Lending/Borrowing, BD Million, %, Exports of Goods & Services, Net Primary Income from Abroad, National Accounts, Oil Sector, Non-oil, final consumption, GFCF, exports, imports, Gross Domestic Saving, Gross National Saving, Per capita, GNI, GDI, lending, borrowing, Current prices, Constant prices, Bahrain National Accounts Annual Report
BahrainFollow data.kapsarc.org for timely data to advance energy economics research..
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Description: This dataset provides a comprehensive overview of monthly inflation rates in Nigeria from March 2003 to June 2024, alongside key economic indicators such as crude oil prices, production levels, and various Consumer Price Index (CPI) components. The data captures important economic trends and is suitable for time series analysis, forecasting, and economic modeling.
The dataset includes the following features:
Inflation Rate: The monthly inflation rate in Nigeria, reflecting the change in consumer prices.
Crude Oil Price: The monthly average price of crude oil, which plays a significant role in Nigeria's economy.
Production and Export: Monthly crude oil production and export figures, representing key components of Nigeria's GDP.
CPI Components: Detailed breakdown of the Consumer Price Index, including food, energy, health, transport, communication, and education.
This dataset is ideal for economists, data scientists, and analysts interested in exploring the dynamics of inflation in a developing economy heavily influenced by oil prices and production. Potential applications include inflation forecasting, economic policy analysis, and studying the impact of global oil prices on domestic inflation.
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Sunflower Oil rose to 1,426.40 INR/10 kg on December 2, 2025, up 0.68% from the previous day. Over the past month, Sunflower Oil's price has risen 0.79%, and is up 8.44% 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 Sunflower Oil.
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A comprehensive dataset for WTI crude oil price prediction, combining key economic indicators and oil industry metrics from 2005-2024. Features include: - EUR/USD exchange rates - Oil inventory levels - Production volumes - Rig counts - Inflation rates - Technical indicators (rolling averages)
Data sourced from EIA and FRED APIs, processed and engineered for time series forecasting. Ideal for price prediction models and market analysis.
Dataset prepared with proper cleaning and feature engineering.