10 datasets found
  1. y

    S&P 500 Monthly Return

    • ycharts.com
    html
    Updated Sep 5, 2025
    + more versions
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    Standard and Poor's (2025). S&P 500 Monthly Return [Dataset]. https://ycharts.com/indicators/sp_500_monthly_return
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    htmlAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    Time period covered
    Nov 30, 1999 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    S&P 500 Monthly Return
    Description

    View monthly updates and historical trends for S&P 500 Monthly Return. from United States. Source: Standard and Poor's. Track economic data with YCharts a…

  2. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    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.

  3. d

    Standard and Poor's (S&P) 500 Index Data including Dividend, Earnings and...

    • datahub.io
    • economagic.com
    Updated Feb 1, 2002
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    (2002). Standard and Poor's (S&P) 500 Index Data including Dividend, Earnings and P/E Ratio [Dataset]. https://datahub.io/core/s-and-p-500
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    Dataset updated
    Feb 1, 2002
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    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 ...

  4. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
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    (2025). Dow Jones Industrial Average [Dataset]. https://fred.stlouisfed.org/series/DJIA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-09-21 to 2025-09-19 about stock market, average, industry, and USA.

  5. F

    CBOE S&P 500 3-Month Volatility Index

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
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    (2025). CBOE S&P 500 3-Month Volatility Index [Dataset]. https://fred.stlouisfed.org/series/VXVCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CBOE S&P 500 3-Month Volatility Index (VXVCLS) from 2007-12-04 to 2025-09-18 about VIX, volatility, stock market, 3-month, and USA.

  6. d

    S&P 500 Companies with Financial Information

    • datahub.io
    Updated Aug 29, 2017
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    (2017). S&P 500 Companies with Financial Information [Dataset]. https://datahub.io/core/s-and-p-500-companies
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    Dataset updated
    Aug 29, 2017
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    List of companies in the S&P 500 (Standard and Poor's 500). The S&P 500 is a free-float, capitalization-weighted index of the top 500 publicly listed stocks in the US (top 500 by market cap). The ...

  7. F

    CBOE Volatility Index: VIX

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
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    (2025). CBOE Volatility Index: VIX [Dataset]. https://fred.stlouisfed.org/series/VIXCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CBOE Volatility Index: VIX (VIXCLS) from 1990-01-02 to 2025-09-18 about VIX, volatility, stock market, and USA.

  8. F

    Earnings Yield of All Common Stocks on the New York Stock Exchange for...

    • fred.stlouisfed.org
    json
    Updated Aug 20, 2012
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    (2012). Earnings Yield of All Common Stocks on the New York Stock Exchange for United States [Dataset]. https://fred.stlouisfed.org/series/A13049USA156NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 20, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Earnings Yield of All Common Stocks on the New York Stock Exchange for United States (A13049USA156NNBR) from 1871 to 1938 about stocks, earnings, NY, yield, interest rate, interest, rate, and USA.

  9. Top Tech Companies Stock Price

    • kaggle.com
    Updated Nov 24, 2020
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    Tomas Mantero (2020). Top Tech Companies Stock Price [Dataset]. https://www.kaggle.com/tomasmantero/top-tech-companies-stock-price/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 24, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Tomas Mantero
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    In this dataset you can find the Top 100 companies in the technology sector. You can also find 5 of the most important and used indices in the financial market as well as a list of all the companies in the S&P 500 index and in the technology sector.

    The Global Industry Classification Standard also known as GICS is the primary financial industry standard for defining sector classifications. The Global Industry Classification Standard was developed by index providers MSCI and Standard and Poor’s. Its hierarchy begins with 11 sectors which can be further delineated to 24 industry groups, 69 industries, and 158 sub-industries.

    You can read the definition of each sector here.

    The 11 broad GICS sectors commonly used for sector breakdown reporting include the following: Energy, Materials, Industrials, Consumer Discretionary, Consumer Staples, Health Care, Financials, Information Technology, Telecommunication Services, Utilities and Real Estate.

    In this case we will focuse in the Technology Sector. You can see all the sectors and industry groups here.

    To determine which companies, correspond to the technology sector, we use Yahoo Finance, where we rank the companies according to their “Market Cap”. After having the list of the Top 100 best valued companies in the sector, we proceeded to download the historical data of each of the companies using the NASDAQ website.

    Regarding to the indices, we searched various sources to find out which were the most used and determined that the 5 most frequently used indices are: Dow Jones Industrial Average (DJI), S&P 500 (SPX), NASDAQ Composite (IXIC), Wilshire 5000 Total Market Inde (W5000) and to specifically view the technology sector SPDR Select Sector Fund - Technology (XLK). Historical data for these indices was also obtained from the NASDQ website.

    Content

    In total there are 107 files in csv format. They are composed as follows:

    • 100 files contain the historical data of tech companies.
    • 5 files contain the historical data of the most used indices.
    • 1 file contain the list of all the companies in the S&P 500 index.
    • 1 file contain the list of all the companies in the technology sector.

    Column Description

    Every company and index file has the same structure with the same columns:

    Date: It is the date on which the prices were recorded. High: Is the highest price at which a stock traded during the course of the trading day. Low: Is the lowest price at which a stock traded during the course of the trading day. Open: Is the price at which a stock started trading when the opening bell rang. Close: Is the last price at which a stock trades during a regular trading session. Volume: Is the number of shares that changed hands during a given day. Adj Close: The adjusted closing price factors in corporate actions, such as stock splits, dividends, and rights offerings.

    The two other files have different columns names:

    List of S&P 500 companies

    Symbol: Ticker symbol of the company. Name: Name of the company. Sector: The sector to which the company belongs.

    Technology Sector Companies List

    Symbol: Ticker symbol of the company. Name: Name of the company. Price: Current price at which a stock can be purchased or sold. (11/24/20) Change: Net change is the difference between closing prices from one day to the next. % Change: Is the difference between closing prices from one day to the next in percentage. Volume: Is the number of shares that changed hands during a given day. Avg Vol: Is the daily average of the cumulative trading volume during the last three months. Market Cap (Billions): Is the total value of a company’s shares outstanding at a given moment in time. It is calculated by multiplying the number of shares outstanding by the price of a single share. PE Ratio: Is the ratio of a company's share (stock) price to the company's earnings per share. The ratio is used for valuing companies and to find out whether they are overvalued or undervalued.

    Acknowledgements

    SEC EDGAR | Company Filings NASDAQ | Historical Quotes Yahoo Finance | Technology Sector Wikipedia | List of S&P 500 companies S&P Dow Jones Indices | S&P 500 [S&P Dow Jones Indices | DJI](https://www.spglobal.com/spdji/en/i...

  10. F

    S&P CoreLogic Case-Shiller TX-Dallas Home Price Index

    • fred.stlouisfed.org
    json
    Updated Aug 26, 2025
    + more versions
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    (2025). S&P CoreLogic Case-Shiller TX-Dallas Home Price Index [Dataset]. https://fred.stlouisfed.org/series/DAXRNSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    Dallas, Texas
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller TX-Dallas Home Price Index (DAXRNSA) from Jan 2000 to Jun 2025 about Dallas, TX, HPI, housing, price index, indexes, price, and USA.

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Standard and Poor's (2025). S&P 500 Monthly Return [Dataset]. https://ycharts.com/indicators/sp_500_monthly_return

S&P 500 Monthly Return

Explore at:
162 scholarly articles cite this dataset (View in Google Scholar)
htmlAvailable download formats
Dataset updated
Sep 5, 2025
Dataset provided by
YCharts
Authors
Standard and Poor's
Time period covered
Nov 30, 1999 - Aug 31, 2025
Area covered
United States
Variables measured
S&P 500 Monthly Return
Description

View monthly updates and historical trends for S&P 500 Monthly Return. from United States. Source: Standard and Poor's. Track economic data with YCharts a…

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