100+ datasets found
  1. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Dec 2, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    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 3, 1928 - Dec 2, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, 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 December of 2025.

  2. Monthly development Dow Jones Industrial Average Index 2018-2025

    • statista.com
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    Statista, Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jun 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

  3. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Dec 1, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 1, 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.

  4. Weekly development Dow Jones Industrial Average Index 2020-2025

    • statista.com
    Updated Mar 15, 2025
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    Statista (2025). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

  5. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    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
    Dec 19, 1990 - Dec 2, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

  6. T

    BSE SENSEX Stock Market Index Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). BSE SENSEX Stock Market Index Data [Dataset]. https://tradingeconomics.com/india/stock-market
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    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
    Apr 3, 1979 - Dec 2, 2025
    Area covered
    India
    Description

    India's main stock market index, the SENSEX, fell to 85138 points on December 2, 2025, losing 0.59% from the previous session. Over the past month, the index has climbed 1.38% and is up 5.31% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

  7. Share of Americans investing money in the stock market 1999-2025

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Share of Americans investing money in the stock market 1999-2025 [Dataset]. https://www.statista.com/statistics/270034/percentage-of-us-adults-to-have-money-invested-in-the-stock-market/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2025
    Area covered
    United States
    Description

    In 2025, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the financial crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

  8. S&P 500 Stocks Dataset (First Half) 2025

    • kaggle.com
    zip
    Updated Oct 17, 2025
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    Code by Nadiia (2025). S&P 500 Stocks Dataset (First Half) 2025 [Dataset]. https://www.kaggle.com/datasets/codebynadiia/s-and-p-500-stocks-dataset-first-half-2025
    Explore at:
    zip(598092 bytes)Available download formats
    Dataset updated
    Oct 17, 2025
    Authors
    Code by Nadiia
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset provides clean and structured stock data for all S&P 500 companies (503 tickers in total, including dual-class stocks such as A and B shares). Period January 1 – June 30, 2025.

    Each record contains key daily information for every company, including: Company Name Ticker Symbol Date Opening Price Date Closing Price Date Trading Volume

    The data is organized in a tabular format and ideal for machine learning, stock market trend analysis, modeling, financial research and visualization.

    With its consistent structure and clean formatting, this dataset is ready to use for both exploratory data analysis and model training in time series or regression tasks.

  9. F

    Index of Common Stock Prices, New York Stock Exchange for United States

    • fred.stlouisfed.org
    json
    Updated Aug 15, 2012
    + more versions
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    (2012). Index of Common Stock Prices, New York Stock Exchange for United States [Dataset]. https://fred.stlouisfed.org/series/M11007USM322NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 15, 2012
    License

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

    Area covered
    United States, New York
    Description

    Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.

  10. 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 - Dec 2, 2025
    Area covered
    Israel
    Description

    Israel's main stock market index, the TA-125, rose to 3538 points on December 2, 2025, gaining 1.75% from the previous session. Over the past month, the index has climbed 4.40% and is up 50.06% 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 December of 2025.

  11. Stock Market Data Europe ( End of Day Pricing dataset )

    • datarade.ai
    Updated Aug 24, 2023
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    Techsalerator (2023). Stock Market Data Europe ( End of Day Pricing dataset ) [Dataset]. https://datarade.ai/data-products/stock-market-data-europe-end-of-day-pricing-dataset-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Aug 24, 2023
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Croatia, Finland, Lithuania, Switzerland, Andorra, Latvia, Denmark, Belgium, Slovenia, Italy, Europe
    Description

    End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.

  12. Dataset for Stock Market Index of 7 Economies

    • kaggle.com
    zip
    Updated Jul 4, 2023
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    Saad Aziz (2023). Dataset for Stock Market Index of 7 Economies [Dataset]. https://www.kaggle.com/datasets/saadaziz1985/dataset-for-stock-market-index-of-7-countries
    Explore at:
    zip(1917326 bytes)Available download formats
    Dataset updated
    Jul 4, 2023
    Authors
    Saad Aziz
    License

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

    Description

    Context:

    The provided dataset is extracted from yahoo finance using pandas and yahoo finance library in python. This deals with stock market index of the world best economies. The code generated data from Jan 01, 2003 to Jun 30, 2023 that’s more than 20 years. There are 18 CSV files, dataset is generated for 16 different stock market indices comprising of 7 different countries. Below is the list of countries along with number of indices extracted through yahoo finance library, while two CSV files deals with annualized return and compound annual growth rate (CAGR) has been computed from the extracted data.

    Number of Countries & Index:

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F90ce8a986761636e3edbb49464b304d8%2FNumber%20of%20Index.JPG?generation=1688490342207096&alt=media" alt="">

    Content:

    Unit of analysis: Stock Market Index Analysis

    This dataset is useful for research purposes, particularly for conducting comparative analyses involving capital market performance and could be used along with other economic indicators.

    There are 18 distinct CSV files associated with this dataset. First 16 CSV files deals with number of indices and last two CSV file deals with annualized return of each year and CAGR of each index. If data in any column is blank, it portrays that index was launch in later years, for instance: Bse500 (India), this index launch in 2007, so earlier values are blank, similarly China_Top300 index launch in year 2021 so early fields are blank too.

    The extraction process involves applying different criteria, like in 16 CSV files all columns are included, Adj Close is used to calculate annualized return. The algorithm extracts data based on index name (code given by the yahoo finance) according start and end date.

    Annualized return and CAGR has been calculated and illustrated in below image along with machine readable file (CSV) attached to that.

    To extract the data provided in the attachment, various criteria were applied:

    1. Content Filtering: The data was filtered based on several attributes, including the index name, start and end date. This filtering process ensured that only relevant data meeting the specified criteria.

    2. Collaborative Filtering: Another filtering technique used was collaborative filtering using yahoo finance, which relies on index similarity. This approach involves finding indices that are similar to other index or extended dataset scope to other countries or economies. By leveraging this method, the algorithm identifies and extracts data based on similarities between indices.

    In the last two CSV files, one belongs to annualized return, that was calculated based on the Adj close column and new DataFrame created to store its outcome. Below is the image of annualized returns of all index (if unreadable, machine-readable or CSV format is attached with the dataset).

    Annualized Return:

    As far as annualised rate of return is concerned, most of the time India stock market indices leading, followed by USA, Canada and Japan stock market indices.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F37645bd90623ea79f3708a958013c098%2FAnnualized%20Return.JPG?generation=1688525901452892&alt=media" alt="">

    Compound Annual Growth Rate (CAGR):

    The best performing index based on compound growth is Sensex (India) that comprises of top 30 companies is 15.60%, followed by Nifty500 (India) that is 11.34% and Nasdaq (USA) all is 10.60%.

    The worst performing index is China top300, however this is launch in 2021 (post pandemic), so would not possible to examine at that stage (due to less data availability). Furthermore, UK and Russia indices are also top 5 in the worst order.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F58ae33f60a8800749f802b46ec1e07e7%2FCAGR.JPG?generation=1688490409606631&alt=media" alt="">

    Geography: Stock Market Index of the World Top Economies

    Time period: Jan 01, 2003 – June 30, 2023

    Variables: Stock Market Index Title, Open, High, Low, Close, Adj Close, Volume, Year, Month, Day, Yearly_Return and CAGR

    File Type: CSV file

    Inspiration:

    • Time series prediction model
    • Investment opportunities in world best economies
    • Comparative Analysis of past data with other stock market indices or other indices

    Disclaimer:

    This is not a financial advice; due diligence is required in each investment decision.

  13. y

    S&P 500 1 Year Return

    • ycharts.com
    html
    Updated Nov 5, 2025
    + more versions
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    Standard and Poor's (2025). S&P 500 1 Year Return [Dataset]. https://ycharts.com/indicators/sp_500_1_year_return
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Nov 30, 1999 - Oct 31, 2025
    Area covered
    United States
    Variables measured
    S&P 500 1 Year Return
    Description

    View monthly updates and historical trends for S&P 500 1 Year Return. from United States. Source: Standard and Poor's. Track economic data with YCharts an…

  14. Annual development Nasdaq 100 Index 1986-2024

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Annual development Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/261720/annual-development-of-the-sunds-500-index/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2021, the Nasdaq 100 closed at ********* points, which was the second highest value on record despite the economic effects of the global coronavirus (COVID-19) pandemic. The index value closed at ********* points in 2024, an increase of more than ***** points compared to its closing value for the previous year. What does the NASDAQ tell us? The Nasdaq 100 index is comprised of 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. Financial firms are represented by the NASDAQ Bank Index. A stock market index is a measurement of average performance of companies forming the index. It gives a snapshot of what investors are thinking at that particular moment. Other indices The Dow Jones Industrial Average gets more attention than the NASDAQ 100, though it only represents ** companies. It’s best and worst days mark some of the major financial events of the past century. This helps to put more meaning behind events like Black Monday, the Wall Street crash of 1929, or the 2008 Financial Crisis, as well as the speed of their recoveries in financial markets.

  15. Weekly development S&P 500 Index 2024

    • statista.com
    Updated Feb 15, 2025
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    Statista (2025). Weekly development S&P 500 Index 2024 [Dataset]. https://www.statista.com/statistics/1104270/weekly-sandp-500-index-performance/
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Dec 29, 2024
    Area covered
    United States
    Description

    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.

  16. Predictability of machine learning techniques to forecast the trends of...

    • plos.figshare.com
    xlsx
    Updated May 31, 2023
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    Sujin Pyo; Jaewook Lee; Mincheol Cha; Huisu Jang (2023). Predictability of machine learning techniques to forecast the trends of market index prices: Hypothesis testing for the Korean stock markets [Dataset]. http://doi.org/10.1371/journal.pone.0188107
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sujin Pyo; Jaewook Lee; Mincheol Cha; Huisu Jang
    License

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

    Description

    The prediction of the trends of stocks and index prices is one of the important issues to market participants. Investors have set trading or fiscal strategies based on the trends, and considerable research in various academic fields has been studied to forecast financial markets. This study predicts the trends of the Korea Composite Stock Price Index 200 (KOSPI 200) prices using nonparametric machine learning models: artificial neural network, support vector machines with polynomial and radial basis function kernels. In addition, this study states controversial issues and tests hypotheses about the issues. Accordingly, our results are inconsistent with those of the precedent research, which are generally considered to have high prediction performance. Moreover, Google Trends proved that they are not effective factors in predicting the KOSPI 200 index prices in our frameworks. Furthermore, the ensemble methods did not improve the accuracy of the prediction.

  17. T

    Hong Kong Stock Market Index (HK50) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Hong Kong Stock Market Index (HK50) Data [Dataset]. https://tradingeconomics.com/hong-kong/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    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
    Jul 31, 1964 - Dec 2, 2025
    Area covered
    Hong Kong
    Description

    Hong Kong's main stock market index, the HK50, rose to 26095 points on December 2, 2025, gaining 0.24% from the previous session. Over the past month, the index has declined 0.24%, though it remains 32.15% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on December of 2025.

  18. I

    India Equity Market Index

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). India Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/india/equity-market-index
    Explore at:
    Dataset updated
    Nov 15, 2025
    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
    Dec 1, 2024 - Nov 1, 2025
    Area covered
    India
    Variables measured
    Securities Exchange Index
    Description

    Key information about India Sensitive 30 (Sensex)

    • India Sensitive 30 (Sensex) closed at 85,706.7 points in Nov 2025, compared with 83,938.7 points at the previous month end
    • India Equity Market Index: Month End: BSE: Sensitive 30 (Sensex) data is updated monthly, available from Apr 1979 to Nov 2025, with an average number of 2,987.7 points
    • The data reached an all-time high of 85,706.7 points in Nov 2025 and a record low of 115.6 points in Nov 1979

    [COVID-19-IMPACT]


    Further information about India Sensitive 30 (Sensex)

    • In the latest reports, SENSEX recorded a daily P/E ratio of 23.2 in Dec 2025

  19. y

    S&P 500 12 Month Total Return

    • ycharts.com
    html
    Updated Nov 5, 2025
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    Standard and Poor's (2025). S&P 500 12 Month Total Return [Dataset]. https://ycharts.com/indicators/sp_500_12_month_total_return
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Nov 30, 1999 - Oct 31, 2025
    Area covered
    United States
    Variables measured
    S&P 500 12 Month Total Return
    Description

    View monthly updates and historical trends for S&P 500 12 Month Total Return. from United States. Source: Standard and Poor's. Track economic data with YC…

  20. Stock Market Sensex & Nifty All-time Dataset

    • kaggle.com
    zip
    Updated Nov 13, 2025
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    Rocky (2025). Stock Market Sensex & Nifty All-time Dataset [Dataset]. https://www.kaggle.com/datasets/rockyt07/stock-market-sensex-nifty-all-time-dataset
    Explore at:
    zip(59549439 bytes)Available download formats
    Dataset updated
    Nov 13, 2025
    Authors
    Rocky
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Comprehensive 27+ years of daily stock market data for Indian indices (SENSEX & NIFTY 50) and all their constituent companies. This dataset includes OHLCV data along with pre-calculated technical indicators, making it perfect for time series analysis, algorithmic trading strategies, and machine learning applications.

    Total Records: 400,000+
    Companies: 80 stocks (30 SENSEX + 50 NIFTY 50)
    Features: 21 columns per record

    Use Cases:

    Machine Learning & Prediction:

    • Stock price forecasting using LSTM, GRU, or Transformers
    • Next-day close price prediction
    • Multi-stock portfolio prediction
    • Market regime detection (bull/bear markets)

    Technical Analysis:

    • Backtest trading strategies (RSI, MACD, Moving Average crossovers)
    • Identify support/resistance levels
    • Bollinger Band squeeze patterns
    • Golden Cross / Death Cross detection

    Statistical Analysis:

    -Correlation analysis between stocks - Volatility clustering analysis - Market crash impact studies (2008 financial crisis, 2020 COVID) - Sectoral performance comparison

    Portfolio Optimization:

    • Modern Portfolio Theory implementation
    • Risk-return optimization
    • Diversification analysis
    • Sharpe ratio calculations

    Education:

    • Financial markets course projects
    • Time series analysis tutorials
    • Data science portfolio projects
    • Algorithmic trading education

    Company List:

    SENSEX 30 Companies:

    Adani Enterprises, Asian Paints, Axis Bank, Bajaj Finance, Bajaj Finserv, Bharti Airtel, HDFC Bank, HCL Technologies, Hindustan Unilever, ICICI Bank, IndusInd Bank, Infosys, ITC, Kotak Mahindra Bank, Larsen & Toubro, Mahindra & Mahindra, Maruti Suzuki, Nestle India, NTPC, ONGC, Power Grid Corporation, Reliance Industries, State Bank of India, Sun Pharmaceutical, Tata Consultancy Services, Tata Motors, Tata Steel, Tech Mahindra, Titan Company, UltraTech Cement, Wipro

    NIFTY 50 Companies:

    All SENSEX 30 companies plus: Adani Ports, Apollo Hospitals, Bajaj Auto, Bharat Petroleum, Britannia Industries, Cipla, Coal India, Divi's Laboratories, Dr. Reddy's Laboratories, Eicher Motors, Grasim Industries, Hero MotoCorp, Hindalco Industries, Hindustan Zinc, JSW Steel, LTIMindtree, Shriram Finance, Tata Consumer Products, Trent

    Ticker Conventions: - .BO suffix = Bombay Stock Exchange (BSE) - .NS suffix = National Stock Exchange (NSE)

    Citation Policy:

    If you use this dataset in your research, please cite:

    Indian Stock Market Historical Data - SENSEX & NIFTY 50 (1997-2024)
    Kaggle Dataset, November 2024
    URL: https://www.kaggle.com/datasets/rockyt07/stock-market-sensex-nifty-all-time-dataset
    
Share
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Click to copy link
Link copied
Close
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TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market

United States Stock Market Index Data

United States Stock Market Index - Historical Dataset (1928-01-03/2025-12-02)

Explore at:
21 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, json, csvAvailable download formats
Dataset updated
Dec 2, 2025
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 3, 1928 - Dec 2, 2025
Area covered
United States
Description

The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, 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 December of 2025.

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