View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

United States - S&P 500 was 6460.26000 Index in August of 2025, according to the United States Federal Reserve. Historically, United States - S&P 500 reached a record high of 6501.86000 in August of 2025 and a record low of 676.53000 in March of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - S&P 500 - last updated from the United States Federal Reserve on September of 2025.

S&P 500 index data including level, dividend, earnings and P/E ratio on a monthly basis since 1870. The S&P 500 (Standard and Poor's 500) is a free-float, capitalization-weighted index of the top ...

Between March 4 and March 11, 2020, the S&P 500 index declined by ** percent, descending into a bear market. On March 12, 2020, the S&P 500 plunged *** percent, its steepest one-day fall since 1987. The index began to recover at the start of April and reached a peak in December 2021. As of December 29, 2024, the value of the S&P 500 stood at ******** points. Coronavirus sparks stock market chaos Stock markets plunged in the wake of the COVID-19 pandemic, with investors fearing its spread would destroy economic growth. Buoyed by figures that suggested cases were leveling off in China, investors were initially optimistic about the virus being contained. However, confidence in the market started to subside as the number of cases increased worldwide. Investors were deterred from buying stocks, and this was reflected in the markets – the values of the Dow Jones Industrial Average and the Nasdaq Composite also dived during the height of the crisis. What is a bear market? A bear market occurs when the value of a stock market suffers a prolonged decline of more than 20 percent over a period of at least 2 months. The COVID-19 pandemic caused severe concern and sent stock markets on a steep downward spiral. The S&P 500 achieved a record closing high of ***** on February 19, 2020. However, just over 3 weeks later, the market closed on *****, which represented a decline of around ** percent in only 16 sessions.

The S&P 500 index dropped significantly between January 3 and September 9, 2022. As of January 3, the index stood at ******** points, and it dropped approximately 15 percent by September 2022. In August 2025, the daily value of the S&P 500 increased over 6**** points and reached ********as of August 19 of the same year.

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.

An In-depth Analysis of the S&P 500 Index: Performance, Composition, and Implications

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

United States New York Stock Exchange: Index: S&P 500 Total Return data was reported at 12,276.390 NA in Apr 2025. This records a decrease from the previous number of 12,360.210 NA for Mar 2025. United States New York Stock Exchange: Index: S&P 500 Total Return data is updated monthly, averaging 5,893.810 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 13,271.380 NA in Jan 2025 and a record low of 2,908.960 NA in Aug 2013. United States New York Stock Exchange: Index: S&P 500 Total Return 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.

Until the fourth quarter of 2023, the S&P 500 and the S&P 500 ESG index exhibited similar performance, both indexes were weighted to similar industries as the S&P 500 followed the leading 500 companies in the United States. Throughout 2024, the S&P 500 ESG index steadily outperformed the S&P 500 by ***** points on average. During the coronavirus pandemic, the technology sector was one of the best-performing sectors in the market. The major differences between the two indexes were the S&P 500 ESG index was skewed towards firms with higher environmental, social, and governance (ESG) scores and had a higher concentration of technology securities than the S&P 500 index. What is a market capitalization index? Both the S&P 500 and the S&P 500 ESG are market capitalization indexes, meaning the individual components (such as stocks and other securities) weighted to the indexes influence the overall value. Market trends such as inflation, interest rates, and international issues like the coronavirus pandemic and the popularity of ESG among professional investors affect the performance of stocks. When weighted components rise in value, this causes an increase in the overall value of the index they are weighted too. What trends are driving index performance? Recent economic and social trends have led to higher levels of ESG integration and maintenance among firms worldwide and higher prioritization from investors to include ESG-focused firms in their investment choices. From a global survey group over ********* of the respondents were willing to prioritize ESG benefits over a higher return on their investment. These trends influenced the performance of securities on the market, leading to an increased value of individual weighted stocks, resulting in an overall increase in the index value.

What is the data?

Used data from Yahoo Finance to get daily data for Opening & Closing Price, Highest & Lowest Prices, Volume of the S&P 500 index.

How was the dataset compiled?

Code: Github Used the yfinance library (github) to import data from yahoo finance directly. Some processing of data was done.

Quality of data

All but a few open prices were missing between 1962-01-01 and 1982-04-10. For these, it was assumed that open price is equal to closing price of previous trading day.

Volume figures until 1949-12-13 are not available.

Some earlier years have less than expected calendar dates | Year with less than expected trading days| Number of Trading Days Recorded | | ---| --- | |1927| 1 | |1928| 195 | | 1929 | 199 | | 1930 | 155 | | 1931 | 183 | | 1932 | 169 | | 1933 | 136 | | 1934 | 91 | | 1935 | 83 | | 1936 | 107 | | 1937 | 83 | | 1938 | 57 | | 1939 | 27 | | 1940 | 8 | | 1941 | 6 | | 1942 | 16 | | 1943 | 7 | | 1944 | 6 | | 1945 | 42 | | 1946 | 48 | | 1947 | 18 | | 1948 | 16 | | 1949 | 1 | | 1968 | 226 |

Added columns for:

 1. percentage Gain/Loss (calculated by taking the percentage difference between closing prices of 2 consecutive trading days)
 2. price variation percentage: (High-Low)/Closing

About this dataset

The Standard and Poor's 500 or S&P 500 is the most famous financial benchmark in the world.

This stock market index tracks the performance of 500 large companies listed on stock exchanges in the United States. As of December 31, 2020, more than $5.4 trillion was invested in assets tied to the performance of this index.

Because the index includes multiple classes of stock of some constituent companies—for example, Alphabet's Class A (GOOGL) and Class C (GOOG)—there are actually 505 stocks in the gauge.

How to use this dataset

• Create a time series regression model to predict S&P value and/or stock prices.
• Explore the most the returns, components and volatility of the S&P 500 index.
• Identify high and low performance stocks among the list.

Highlighted Notebooks

• Your kernel can be featured here!
• More datasets

Acknowledgements

License

CC0: Public Domain

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Stonks by unknown memer.

United States Index: Standard & Poors: S&P 500 Growth data was reported at 1,656.530 1941-1943=10 in Nov 2018. This records an increase from the previous number of 1,634.690 1941-1943=10 for Oct 2018. United States Index: Standard & Poors: S&P 500 Growth data is updated monthly, averaging 671.810 1941-1943=10 from Dec 2001 (Median) to Nov 2018, with 204 observations. The data reached an all-time high of 1,779.520 1941-1943=10 in Sep 2018 and a record low of 390.580 1941-1943=10 in Feb 2009. United States Index: Standard & Poors: S&P 500 Growth data remains active status in CEIC and is reported by Standard & Poor's. The data is categorized under Global Database’s United States – Table US.Z016: Standard & Poors: US Indexes.

United States Index: Standard & Poors: S&P 500 Materials data was reported at 363.650 1941-1943=10 in Jun 2018. This records an increase from the previous number of 363.220 1941-1943=10 for May 2018. United States Index: Standard & Poors: S&P 500 Materials data is updated monthly, averaging 230.840 1941-1943=10 from Dec 2001 (Median) to Jun 2018, with 199 observations. The data reached an all-time high of 394.500 1941-1943=10 in Jan 2018 and a record low of 109.470 1941-1943=10 in Sep 2002. United States Index: Standard & Poors: S&P 500 Materials data remains active status in CEIC and is reported by Standard & Poor's. The data is categorized under Global Database’s USA – Table US.Z016: Standard & Poors: US Indexes.

Prices for United States Stock Market Index (US500) including live quotes, historical charts and news. United States Stock Market Index (US500) was last updated by Trading Economics this August 31 of 2025.

United States New York Stock Exchange: Index: S&P 500 US Large Cap Index data was reported at 1,238.870 NA in Apr 2025. This records a decrease from the previous number of 1,249.000 NA for Mar 2025. United States New York Stock Exchange: Index: S&P 500 US Large Cap Index data is updated monthly, averaging 621.815 NA from Jul 2013 (Median) to Apr 2025, with 142 observations. The data reached an all-time high of 1,354.730 NA in Jan 2025 and a record low of 344.560 NA in Aug 2013. United States New York Stock Exchange: Index: S&P 500 US Large Cap 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.

The S&P 500, an index of 500 publicly traded companies in the United States, closed at ******** points on the last trading day of December 2024. What is the S&P 500? The S&P 500 is a stock market index that tracks the evolution of 500 companies. In contrast to the Dow Jones Industrial Index, which measures the performance of thirty large U.S. companies, the S&P 500 shows the sentiments in the broader market. Publicly traded companies Companies on the S&P 500 are publicly traded, meaning that anyone can invest in them. A large share of adults in the United States invest in the stock market, though many of these are through a retirement account or mutual fund. While most people make a modest return, the most successful investors have made billions of U.S. dollars through investing.

1) Data Introduction • The S&P 500 stock data is a tabular stock market dataset of daily stock price information (market, high price, low price, closing price, trading volume, etc.) for the last five years (the latest data is until February 2018) of all companies in the S&P 500 index.

2) Data Utilization (1) S&P 500 stock data has characteristics that: • Each row contains key stock metrics such as date, open, high, low, close, volume, and stock ticker name. • Data is provided as individual stock files and all stock integrated files, so it can be used for various analysis purposes. (2) S&P 500 stock data can be used to: • Stock Price Forecasting and Investment Strategy Development: Using historical stock price data, a variety of investment strategies and forecasting models can be developed, including time series forecasting, volatility analysis, and moving averages. • Market Trends and Corporate Comparison Analysis: It can be used to visualize stock price fluctuations across stocks, compare performance between stocks, analyze market trends, optimize portfolios, and more.

The main stock market index of United States, the US500, rose to 6464 points on September 1, 2025, gaining 0.06% from the previous session. Over the past month, the index has climbed 2.13% and is up 16.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on September of 2025.

Tick (Bids | Asks | Trades | Settle) sample data for S&P 500 Index SPC5 timestamped in Chicago time

Dataset Card for S&P 500 Dataset

This Dataset was created by combining the daily close prices for each stock in the current (as of 10/29/2022) S&P 500 index dating back to January 1, 1970. This data came from the Kaggle dataset (https://www.kaggle.com/datasets/paultimothymooney/stock-market-data) and was aggregated using PANDAS before being converted to a HuggingFace Dataset.

  Dataset Summary

This dataset has 407 columns specifying dates and associated close prices of… See the full description on the dataset page: https://huggingface.co/datasets/nick-carroll1/sp500.

S&P 500 3-Month Volatility Index - Historical chart and current data through 2025.