Crude Oil fell to 61.43 USD/Bbl on October 27, 2025, down 0.12% from the previous day. Over the past month, Crude Oil's price has fallen 3.19%, and is down 8.83% 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 October of 2025.

Find out the latest prices of oil stocks, including Brent Crude Oil, WTI Crude Oil, ExxonMobil Corporation (XOM), Chevron Corporation (CVX), and British Petroleum (BP). Learn about the factors influencing oil stock prices such as global oil demand, OPEC production decisions, geopolitical events, and economic indicators. Understand the risks involved in investing in oil stocks and the importance of staying updated on market trends.

MetaData

Crude Oil Stock Price Data (2000-2024)

Dataset Description

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

Column Descriptions

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.

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

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Brent fell to 65.87 USD/Bbl on October 24, 2025, down 0.18% from the previous day. Over the past month, Brent's price has fallen 3.95%, and is down 13.39% 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 October of 2025.

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Dataset

This dataset was created by Onur DERYA

Contents

Short-term predictions indicate a cautiously optimistic outlook for S&P GSCI Crude Oil, with potential for moderate upside driven by a combination of supply constraints and rising global energy demand. However, risks to this prediction include geopolitical uncertainties, increased interest rates, and the potential for new COVID-19 variants to disrupt economic recovery and demand.

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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.