Crude Oil rose to 70.07 USD/Bbl on July 31, 2025, up 0.09% from the previous day. Over the past month, Crude Oil's price has risen 7.05%, but it is still 8.18% lower than a year ago, 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 July of 2025.

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

This 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.

Graph and download economic data for CBOE Crude Oil ETF Volatility Index (OVXCLS) from 2007-05-10 to 2025-07-28 about ETF, VIX, volatility, crude, oil, stock market, and USA.

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.

Graph and download economic data for Producer Price Index by Commodity: Fuels and Related Products and Power: Lubricating Oil Base Stocks (WPU05780121) from Jun 2009 to Jun 2025 about lubricants, stocks, fuels, oil, commodities, PPI, inflation, price index, indexes, price, and USA.

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.

Stocks of crude oil in the United States decreased by 3.17million barrels in the week ending July 18 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.

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.

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.

Brent fell to 71.82 USD/Bbl on July 31, 2025, down 0.90% from the previous day. Over the past month, Brent's price has risen 7.02%, but it is still 9.69% lower than a year ago, 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 July of 2025.

New York Stock Exchange: Index: Dow Jones US Oil & Gas Index data was reported at 675.620 NA in Apr 2025. This records a decrease from the previous number of 780.190 NA for Mar 2025. New York Stock Exchange: Index: Dow Jones US Oil & Gas Index data is updated monthly, averaging 594.840 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 846.020 NA in Jun 2014 and a record low of 239.560 NA in Mar 2020. New York Stock Exchange: Index: Dow Jones US Oil & Gas 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.

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 Indicator of Global Energy Markets?

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

Palm Oil fell to 4,276 MYR/T on July 25, 2025, down 1.25% from the previous day. Over the past month, Palm Oil's price has risen 6.58%, and is up 8.50% compared to the same time last year, 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 July of 2025.

The S&P GSCI Crude Oil index is expected to remain volatile, influenced by geopolitical tensions, supply and demand dynamics, and central bank policies. The risk of further price fluctuations persists due to the ongoing Russia-Ukraine conflict, potential supply disruptions, and the impact of economic headwinds on global energy consumption. Market participants should monitor these factors closely and consider hedging strategies to mitigate risks associated with price movements in the index.

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.

United States New York Stock Exchange: Index: S&P Oil & Gas Equipment & Services Select Industry Index data was reported at 596.890 NA in Apr 2025. This records a decrease from the previous number of 742.680 NA for Mar 2025. United States New York Stock Exchange: Index: S&P Oil & Gas Equipment & Services Select Industry Index data is updated monthly, averaging 985.680 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 4,989.000 NA in Jun 2014 and a record low of 233.940 NA in Mar 2020. United States New York Stock Exchange: Index: S&P Oil & Gas Equipment & Services Select Industry 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: S&P: Monthly.

Heating Oil rose to 2.42 USD/Gal on July 31, 2025, up 0.38% from the previous day. Over the past month, Heating Oil's price has risen 3.79%, and is up 0.23% compared to the same time last year, 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 July of 2025.

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.

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.

Is the Heating Oil Index a Reliable Indicator of Market Trends?

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