38 datasets found
  1. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 30, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 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.

  2. Annual development S&P 500 Index 1986-2024

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Annual development S&P 500 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/261713/changes-of-the-sundp-500-during-the-us-election-years-since-1928/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Standard & Poor’s (S&P) 500 Index is an index of 500 leading publicly traded companies in the United States. In 2021, the index value closed at ******** points, which was the second highest value on record despite the economic effects of the global coronavirus (COVID-19) pandemic. In 2023, the index values closed at ********, the highest value ever recorded. What is the S&P 500? The S&P 500 was established in 1860 and expanded to its present form of 500 stocks in 1957. It tracks the price of stocks on the major stock exchanges in the United States, distilling their performance down to a single number that investors can use as a snapshot of the economy’s performance at a given moment. This snapshot can be explored further. For example, the index can be examined by industry sector, which gives a more detailed illustration of the economy. Other measures Being a stock market index, the S&P 500 only measures equities performance. In addition to other stock market indices, analysts will look to other indicators such as GDP growth, unemployment rates, and projected inflation. Similarly, since these indicators say something about the economic future, stock market investors will use these indicators to speculate on the stocks in the S&P 500.

  3. d

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

    • datahub.io
    • economagic.com
    Updated Feb 1, 2002
    + more versions
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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. T

    United States Stock Market Index (US500) - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 7, 2015
    + more versions
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    TRADING ECONOMICS (2015). United States Stock Market Index (US500) - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/spx:ind
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    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Nov 7, 2015
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jul 23, 2025
    Area covered
    United States
    Description

    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 July 23 of 2025.

  5. Returns of S&P 500 IT Index in the U.S. 2007-2023

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Returns of S&P 500 IT Index in the U.S. 2007-2023 [Dataset]. https://www.statista.com/statistics/987417/sandp-500-returns-it-sector/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic presents the returns of the S&P 500 Information Technology Index in the United States from 2007 to 2023. The IT sector had its worst year in 2008, where it lost **** percent of its value. After three years of value gain, it lost **** percent of its value in 2022. On the contrary, 2023 witnessed the second-highest value gain during this period, reaching **** percent.

  6. T

    United States - S&P 500

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). United States - S&P 500 [Dataset]. https://tradingeconomics.com/united-states/s-p-500-index-index-d-na-fed-data.html
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - S&P 500 was 6362.90000 Index in July of 2025, according to the United States Federal Reserve. Historically, United States - S&P 500 reached a record high of 6389.77000 in July 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 July of 2025.

  7. t

    S&P 500 Historical Stock Data

    • service.tib.eu
    Updated Nov 25, 2024
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    (2024). S&P 500 Historical Stock Data [Dataset]. https://service.tib.eu/ldmservice/dataset/s-p-500-historical-stock-data
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    Dataset updated
    Nov 25, 2024
    Description

    The dataset comprises historical stock price and trading volume data from S&P 500 component stocks over a period of about 10 years (from 01/02/2009 to 12/24/2018), used to evaluate the proposed Mid-LSTM stock prediction model.

  8. United States Index: Standard & Poors: S&P 500 Growth

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Index: Standard & Poors: S&P 500 Growth [Dataset]. https://www.ceicdata.com/en/united-states/standard--poors-us-indexes/index-standard--poors-sp-500-growth
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Securities Exchange Index
    Description

    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.

  9. 10-year average return of gold and other assets worldwide 2025

    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). 10-year average return of gold and other assets worldwide 2025 [Dataset]. https://www.statista.com/statistics/1061454/gold-other-assets-10-year-average-returns-global/
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    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 31, 2025
    Area covered
    Worldwide
    Description

    As of 31 May 2025, MSCI U.S. had an average **-year return rate of ***** percent, whereas gold had a return rate of ***** percent. Gold mining overview In light of recent technological advancements shaping the gold mining market, global gold production has been rather stable in the last few years, hovering around ***** metric tons since 2020. Among nations, Australia holds the highest gold production, surpassing countries with the highest mine gold reserves. Gold as a financial security Known for its ability to provide diversification to investment portfolios, gold has exhibited a positive trend in its Gold’s return rate was particularly high in the early 2000s, and, despite experiencing a decline during the pandemic, it demonstrated a remarkable recovery since. Furthermore, gold serves as a valuable asset for a nation's economic stability, with the United States holding the highest amount of

  10. S&P 500 Daily Data (1927-12-30 to 2021-09-19)

    • kaggle.com
    Updated Sep 19, 2021
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    Myungchan Kim (2021). S&P 500 Daily Data (1927-12-30 to 2021-09-19) [Dataset]. https://www.kaggle.com/datasets/myungchankim/sp-500-daily-data-19281230-to-20210919
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 19, 2021
    Dataset provided by
    Kaggle
    Authors
    Myungchan Kim
    License

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

    Description

    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
    
  11. F

    CBOE S&P 500 3-Month Volatility Index

    • fred.stlouisfed.org
    json
    Updated Jul 30, 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
    Jul 30, 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 2025-07-29 about VIX, volatility, 3-month, stock market, and USA.

  12. T

    Israel Stock Market (TA-125) Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 10, 2017
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    TRADING ECONOMICS (2017). Israel Stock Market (TA-125) Data [Dataset]. https://tradingeconomics.com/israel/stock-market
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Feb 10, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 8, 1992 - Jul 31, 2025
    Area covered
    Israel
    Description

    Israel's main stock market index, the TA-125, fell to 3080 points on July 31, 2025, losing 0.21% from the previous session. Over the past month, the index has climbed 1.83% and is up 56.58% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on August of 2025.

  13. United States Index: Standard & Poors: S&P 500 Value

    • ceicdata.com
    Updated Apr 25, 2019
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    CEICdata.com (2019). United States Index: Standard & Poors: S&P 500 Value [Dataset]. https://www.ceicdata.com/en/united-states/standard--poors-us-indexes/index-standard--poors-sp-500-value
    Explore at:
    Dataset updated
    Apr 25, 2019
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Securities Exchange Index
    Description

    United States Index: Standard & Poors: S&P 500 Value data was reported at 1,106.780 1941-1943=10 in Nov 2018. This records an increase from the previous number of 1,081.730 1941-1943=10 for Oct 2018. United States Index: Standard & Poors: S&P 500 Value data is updated monthly, averaging 651.155 1941-1943=10 from Dec 2001 (Median) to Nov 2018, with 204 observations. The data reached an all-time high of 1,172.000 1941-1943=10 in Jan 2018 and a record low of 338.890 1941-1943=10 in Feb 2009. United States Index: Standard & Poors: S&P 500 Value 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.

  14. 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 ...

  15. Returns of S&P 500 index in the U.S. 2010-2023, by sector

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Returns of S&P 500 index in the U.S. 2010-2023, by sector [Dataset]. https://www.statista.com/statistics/580711/sandp-500-returns-by-sector/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the S&P 500 Information Technology Index outperformed other sectors, with annual return of **** percent. On the other hand, the S&P 500 Utilities Index recorded the lowest returns, with a loss of *** percent.

  16. United States Index: Standard & Poors: S&P 500 Consumer Discretionary

    • ceicdata.com
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    CEICdata.com, United States Index: Standard & Poors: S&P 500 Consumer Discretionary [Dataset]. https://www.ceicdata.com/en/united-states/standard--poors-us-indexes/index-standard--poors-sp-500-consumer-discretionary
    Explore at:
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Securities Exchange Index
    Description

    United States Index: Standard & Poors: S&P 500 Consumer Discretionary data was reported at 853.590 1941-1943=10 in Nov 2018. This records an increase from the previous number of 831.970 1941-1943=10 for Oct 2018. United States Index: Standard & Poors: S&P 500 Consumer Discretionary data is updated monthly, averaging 294.560 1941-1943=10 from Dec 2001 (Median) to Nov 2018, with 204 observations. The data reached an all-time high of 938.230 1941-1943=10 in Sep 2018 and a record low of 138.220 1941-1943=10 in Feb 2009. United States Index: Standard & Poors: S&P 500 Consumer Discretionary 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.

  17. United States Index: Standard & Poors: S&P 500 Consumer Staples

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Index: Standard & Poors: S&P 500 Consumer Staples [Dataset]. https://www.ceicdata.com/en/united-states/standard--poors-us-indexes/index-standard--poors-sp-500-consumer-staples
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Securities Exchange Index
    Description

    United States Index: Standard & Poors: S&P 500 Consumer Staples data was reported at 566.680 1941-1943=10 in Oct 2018. This records an increase from the previous number of 554.910 1941-1943=10 for Sep 2018. United States Index: Standard & Poors: S&P 500 Consumer Staples data is updated monthly, averaging 291.220 1941-1943=10 from Dec 2001 (Median) to Oct 2018, with 203 observations. The data reached an all-time high of 595.650 1941-1943=10 in Jan 2018 and a record low of 190.250 1941-1943=10 in Mar 2003. United States Index: Standard & Poors: S&P 500 Consumer Staples 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.

  18. U

    United States Index: Standard & Poors: S&P 500 Materials

    • ceicdata.com
    Updated Nov 22, 2021
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    CEICdata.com (2021). United States Index: Standard & Poors: S&P 500 Materials [Dataset]. https://www.ceicdata.com/en/united-states/standard--poors-us-indexes/index-standard--poors-sp-500-materials
    Explore at:
    Dataset updated
    Nov 22, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Securities Exchange Index
    Description

    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.

  19. Dow Jones: monthly value 1920-1955

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Dow Jones: monthly value 1920-1955 [Dataset]. https://www.statista.com/statistics/1249670/monthly-change-value-dow-jones-depression/
    Explore at:
    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1920 - Dec 1955
    Area covered
    United States
    Description

    Throughout the 1920s, prices on the U.S. stock exchange rose exponentially, however, by the end of the decade, uncontrolled growth and a stock market propped up by speculation and borrowed money proved unsustainable, resulting in the Wall Street Crash of October 1929. This set a chain of events in motion that led to economic collapse - banks demanded repayment of debts, the property market crashed, and people stopped spending as unemployment rose. Within a year the country was in the midst of an economic depression, and the economy continued on a downward trend until late-1932.

    It was during this time where Franklin D. Roosevelt (FDR) was elected president, and he assumed office in March 1933 - through a series of economic reforms and New Deal policies, the economy began to recover. Stock prices fluctuated at more sustainable levels over the next decades, and developments were in line with overall economic development, rather than the uncontrolled growth seen in the 1920s. Overall, it took over 25 years for the Dow Jones value to reach its pre-Crash peak.

  20. Dataset used for research on predicting next day closing price

    • figshare.com
    application/csv
    Updated Jul 3, 2024
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    Ahmad Firdaus Cayzer (2024). Dataset used for research on predicting next day closing price [Dataset]. http://doi.org/10.6084/m9.figshare.26169403.v1
    Explore at:
    application/csvAvailable download formats
    Dataset updated
    Jul 3, 2024
    Dataset provided by
    figshare
    Authors
    Ahmad Firdaus Cayzer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    There are a total of 5 datasets.sp500_datasp500_newFeatures_datasp500_lagged_datanasdaq_lagged_datahsi_lagged_dataThe first dataset contains 34 years worth of data from 1990 to 2023 for the stock index S&P500. This dataset has been preprocessed and is used for training and testing. The second dataset transforms the initial dataset with the addition of new features derived from the first dataset. The third dataset is a different transformation of the first dataset where the features are mostly contained of lagged features. The fourth dataset contains 10 years of data for the NASDAQ index from 2014-2023 following the same format of lagged features like the third dataset. The fifth dataset has 10 years of data from 2014-2023 for the HSI stock index. This dataset also follows the same format of features as the third datasetAll five of these datasets were used as implementations for a research to predict tomorrow's closing price based on today's financial features

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(2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500

S&P 500

SP500

Explore at:
83 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jul 30, 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.

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