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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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TwitterThis 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.
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Learn about crude oil stock indices, how they track and measure the performance of crude oil related stocks, and their importance in the financial markets.
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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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TwitterThis statistic shows the stock prices of selected oil and gas commodities from January 2, 2020 to February 4, 2025. After the Russian invasion of Ukraine in February 2022, energy prices climbed significantly. The highest increase can be observed for natural gas, whose price peaked in August and September 2022. By the beginning of 2023, natural gas price started to decline.
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Oil stock price graphs are crucial tools for analyzing the historical performance of oil stocks. They help investors and financial analysts identify trends, patterns, support and resistance levels, and key chart patterns.
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Graph and download economic data for CBOE Crude Oil ETF Volatility Index (OVXCLS) from 2007-05-10 to 2025-12-01 about ETF, VIX, volatility, crude, stock market, oil, and USA.
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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.
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Iran Index: TSE: Oil and Gas Extraction and Related Services excl Surveying data was reported at 339.200 21Mar1998=100 in May 2018. This records a decrease from the previous number of 360.100 21Mar1998=100 for Apr 2018. Iran Index: TSE: Oil and Gas Extraction and Related Services excl Surveying data is updated monthly, averaging 437.100 21Mar1998=100 from Jul 2009 (Median) to May 2018, with 107 observations. The data reached an all-time high of 1,051.400 21Mar1998=100 in Jan 2014 and a record low of 115.800 21Mar1998=100 in Jul 2009. Iran Index: TSE: Oil and Gas Extraction and Related Services excl Surveying data remains active status in CEIC and is reported by Tehran Stock Exchange. The data is categorized under Global Database’s Iran – Table IR.Z001: Tehran Stock Exchange: Index.
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Graph and download economic data for Producer Price Index by Commodity: Fuels and Related Products and Power: Lubricating Oil Base Stocks (WPU0578) from Jun 2009 to Aug 2025 about lubricants, stocks, fuels, oil, commodities, PPI, inflation, price index, indexes, price, and USA.
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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.
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A crude oil stock price graph shows the historical movement and fluctuations in the price of crude oil over a specific period. The graph represents the changes in the value of crude oil stocks, helping investors and analysts analyze trends and make predictions.
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Israel Index: TASE: Sector: Oil and Gas Exploration data was reported at 1,555.270 01Jan1984=95.27 in Sep 2018. This records an increase from the previous number of 1,398.600 01Jan1984=95.27 for Aug 2018. Israel Index: TASE: Sector: Oil and Gas Exploration data is updated monthly, averaging 476.960 01Jan1984=95.27 from Jan 2000 (Median) to Sep 2018, with 225 observations. The data reached an all-time high of 1,966.460 01Jan1984=95.27 in Sep 2014 and a record low of 78.500 01Jan1984=95.27 in Oct 2002. Israel Index: TASE: Sector: Oil and Gas Exploration data remains active status in CEIC and is reported by Tel Aviv Stock Exchange. The data is categorized under Global Database’s Israel – Table IL.Z001: Tel Aviv Stock Exchange: Index.
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Italy Index: Oil & Gas data was reported at 16,516.388 19Dec2008=20000 in Nov 2018. This records a decrease from the previous number of 17,812.396 19Dec2008=20000 for Oct 2018. Italy Index: Oil & Gas data is updated monthly, averaging 20,175.802 19Dec2008=20000 from Dec 2008 (Median) to Nov 2018, with 120 observations. The data reached an all-time high of 24,325.880 19Dec2008=20000 in Apr 2011 and a record low of 14,507.375 19Dec2008=20000 in Sep 2016. Italy Index: Oil & Gas data remains active status in CEIC and is reported by Italian Stock Exchange. The data is categorized under Global Database’s Italy – Table IT.Z001: Stock Exchange Index.
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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.
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Heating Oil rose to 2.35 USD/Gal on December 2, 2025, up 0.21% from the previous day. Over the past month, Heating Oil's price has fallen 2.25%, but it is still 6.31% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Heating oil - values, historical data, forecasts and news - updated on December of 2025.
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ANNUAL
Annual data on quantities for crude oil, petroleum products, natural gas and manufactures gases, electricity and derived heat, solid fossil fuels, renewables and wastes covering the full spectrum of the energy sector from supply through transformation to final consumption by sector and fuel type.
Also, annual imports and exports data of various energy carriers by country of origin and destination, as well as infrastructure information.
Data on annual statistics are collected via standard questionnaires according to Annex B of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
MONTHLY
The monthly energy data collections cover the most important energy commodities:
For each of the above mentioned commodities the inflowing data are delivered by the reporting countries to Eurostat via separate dedicated questionnaires.
Data on monthly statistics are collected via standard questionnaires according to Annex C of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
SHORT-TERM MONTHLY
The short-term monthly energy data collection covers the imports and supply of crude oil.
Data on monthly short term statistics are collected via standard questionnaires according to Annex D of the Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics.
In the past, short term monthly statistics also covered the main flows (quantities) on the supply side for
The short-term monthly data collection for electricity was stopped in 2019, whereas short-term monthly data for oil and petroleum products and natural gas are not collected as of 2021.
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TwitterOn 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.
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The Dow Jones North America Select Junior Oil index may exhibit upward momentum, potentially reaching slightly higher levels. However, it's important to note that this prediction carries moderate risk due to potential market fluctuations and geopolitical uncertainties that could influence the oil industry.
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United States New York Stock Exchange: Index: Dow Jones US Oil Equipment Services & Distribution Index data was reported at 436.080 NA in Apr 2025. This records a decrease from the previous number of 495.270 NA for Mar 2025. United States New York Stock Exchange: Index: Dow Jones US Oil Equipment Services & Distribution Index data is updated monthly, averaging 449.025 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 918.710 NA in Jun 2014 and a record low of 150.500 NA in Mar 2020. United States New York Stock Exchange: Index: Dow Jones US Oil Equipment Services & Distribution Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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