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This dataset contains historical stock price data for Crude Oil from 2000 to 2024. This data is extracted by using Python's yfinance library and it provides detailed insights into Crude Oil's stock performance over the years. It includes daily values for the stock's opening and closing prices, adjusted close price, high and low prices, and trading volume. This dataset is ideal for time series analysis, stock trend analysis, and financial machine learning projects such as price prediction models and volatility analysis.
The dataset is extracted from Yahoo Finance
Date: The trading date for each entry, in the format.
Adj_Close: Adjusted closing price of Crude Oil stock for each trading day, reflecting stock splits, dividends, and other adjustments.
Close: The raw closing price of Crude Oil stock at the end of each trading day.
High: The highest price reached by Crude Oil stock during the trading day.
Low: The lowest price reached by Crude Oil stock during the trading day.
Open: The price of Crude Oil stock at the start of the trading day.
Volume: The total number of shares traded during the trading day.
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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 CL symbol represents the US Crude Oil futures contract, which is traded on NYMEX and ICE. Learn about its importance, trading specifications, and how investors monitor its price.
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Learn about the stock ticker symbol for crude oil (CL) and how it is used to identify specific futures contracts for trading. Discover the origin of ticker symbols and the role they play in tracking and trading commodities like crude oil. Understand how investors and traders can profit from changes in oil prices by buying or selling crude oil futures contracts, but also be aware of the high level of risk involved in trading futures.
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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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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.
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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.
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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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The US stock market and crude oil price are closely interconnected as crude oil is a critical component of the global economy, and its price fluctuations directly impact the stock market. This article explores the various factors that influence both the US stock market and crude oil prices, including geopolitical events, global economic conditions, supply and demand dynamics, and government policies.
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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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US EIA Crude Oil Stock Change data, recent 36 years (traceable to Jan 05,1990), the unit is Mbbl/weekly, latest value is 6413000, updated at Nov 07,2025
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Forecast: Crude Oil Stock Change in Italy 2024 - 2028 Discover more data with ReportLinker!
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USO is an exchange-traded fund (ETF) that tracks the performance of WTI crude oil futures, allowing individuals to speculate on the direction of oil prices. Investors should carefully consider their investment objectives and be aware of the fund's short-term trading focus.
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TwitterHistorical AI model predictions and analysis for Crude Oil (WTI) stock across multiple timeframes and confidence levels
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The price of crude oil per barrel is influenced by factors such as supply and demand, geopolitical events, and economic indicators. This article explores the fluctuations in crude oil prices, the impact on the global economy, and the role of benchmarks like Brent crude and WTI crude. It also discusses the historical volatility of oil prices, the influence of geopolitical tensions, economic indicators, market speculation, and the shale oil revolution. Understanding crude oil prices is crucial as they have si
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View market daily updates and historical trends for WTI Crude Oil Spot Price. Source: Energy Information Administration. Track economic data with YCharts …
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United States Petroleum Supply: Crude Oil: Stock Change: SPR data was reported at 0.000 Barrel/Day th in 20 Jul 2018. This stayed constant from the previous number of 0.000 Barrel/Day th for 13 Jul 2018. United States Petroleum Supply: Crude Oil: Stock Change: SPR data is updated weekly, averaging 0.000 Barrel/Day th from Nov 2001 (Median) to 20 Jul 2018, with 872 observations. The data reached an all-time high of 461.000 Barrel/Day th in 22 Aug 2003 and a record low of -845.000 Barrel/Day th in 12 Aug 2011. United States Petroleum Supply: Crude Oil: Stock Change: SPR data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s USA – Table US.RB018: Petroleum Supply: Weekly Report.
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Forecast: Crude Oil Stock Change in the UK 2024 - 2028 Discover more data with ReportLinker!
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View weekly updates and historical trends for US Crude Oil Stocks. Source: Energy Information Administration. Track economic data with YCharts analytics.
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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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This dataset contains historical stock price data for Crude Oil from 2000 to 2024. This data is extracted by using Python's yfinance library and it provides detailed insights into Crude Oil's stock performance over the years. It includes daily values for the stock's opening and closing prices, adjusted close price, high and low prices, and trading volume. This dataset is ideal for time series analysis, stock trend analysis, and financial machine learning projects such as price prediction models and volatility analysis.
The dataset is extracted from Yahoo Finance
Date: The trading date for each entry, in the format.
Adj_Close: Adjusted closing price of Crude Oil stock for each trading day, reflecting stock splits, dividends, and other adjustments.
Close: The raw closing price of Crude Oil stock at the end of each trading day.
High: The highest price reached by Crude Oil stock during the trading day.
Low: The lowest price reached by Crude Oil stock during the trading day.
Open: The price of Crude Oil stock at the start of the trading day.
Volume: The total number of shares traded during the trading day.