100+ datasets found
  1. T

    Kenya Stock Market (NSE20) Data

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, Kenya Stock Market (NSE20) Data [Dataset]. https://tradingeconomics.com/kenya/stock-market
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    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
    Nov 25, 1997 - Dec 2, 2025
    Area covered
    Kenya
    Description

    Kenya's main stock market index, the Nairobi 20, fell to 3024 points on December 2, 2025, losing 0.47% from the previous session. Over the past month, the index has declined 4.11%, though it remains 64.78% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Kenya. Kenya Stock Market (NSE20) - values, historical data, forecasts and news - updated on December of 2025.

  2. T

    Indonesia Stock Market (JCI) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Dec 2, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Indonesia Stock Market (JCI) Data [Dataset]. https://tradingeconomics.com/indonesia/stock-market
    Explore at:
    csv, excel, json, xmlAvailable 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 6, 1990 - Dec 2, 2025
    Area covered
    Indonesia
    Description

    Indonesia's main stock market index, the JCI, rose to 8617 points on December 2, 2025, gaining 0.80% from the previous session. Over the past month, the index has climbed 4.13% and is up 19.75% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Indonesia. Indonesia Stock Market (JCI) - values, historical data, forecasts and news - updated on December of 2025.

  3. Stock Market Dataset (NIFTY-500)

    • kaggle.com
    zip
    Updated Jun 10, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sourav Banerjee (2023). Stock Market Dataset (NIFTY-500) [Dataset]. https://www.kaggle.com/datasets/iamsouravbanerjee/nifty500-stocks-dataset
    Explore at:
    zip(35684 bytes)Available download formats
    Dataset updated
    Jun 10, 2023
    Authors
    Sourav Banerjee
    Description

    Context

    NIFTY 500 is India’s first broad-based stock market index of the Indian stock market. It contains the top 500 listed companies on the NSE. The NIFTY 500 index represents about 96.1% of free-float market capitalization and 96.5% of the total turnover on the National Stock Exchange (NSE).

    NIFTY 500 companies are disaggregated into 72 industry indices. Industry weights in the index reflect industry weights in the market. For example, if the banking sector has a 5% weight in the universe of stocks traded on the NSE, banking stocks in the index would also have an approximate representation of 5% in the index. NIFTY 500 can be used for a variety of purposes such as benchmarking fund portfolios, launching index funds, ETFs, and other structured products.

    • Other Notable Indices -
      • NIFTY 50: Top 50 listed companies on the NSE. A diversified 50-stock index accounting for 13 sectors of the Indian economy.
      • NIFTY Next 50: Also called NIFTY Juniors. Represents 50 companies from NIFTY 100 after excluding the NIFTY 50 companies.
      • NIFTY 100: Diversified 100 stock index representing major sectors of the economy. NIFTY 100 represents the top 100 companies based on full market capitalization from NIFTY 500.
      • NIFTY 200: Designed to reflect the behavior and performance of large and mid-market capitalization companies.

    Content

    The dataset comprises various parameters and features for each of the NIFTY 500 Stocks, including Company Name, Symbol, Industry, Series, Open, High, Low, Previous Close, Last Traded Price, Change, Percentage Change, Share Volume, Value in Indian Rupee, 52 Week High, 52 Week Low, 365 Day Percentage Change, and 30 Day Percentage Change.

    Dataset Glossary (Column-Wise)

    Company Name: Name of the Company.

    Symbol: A stock symbol is a unique series of letters assigned to a security for trading purposes.

    Industry: Name of the industry to which the stock belongs.

    Series: EQ stands for Equity. In this series intraday trading is possible in addition to delivery and BE stands for Book Entry. Shares falling in the Trade-to-Trade or T-segment are traded in this series and no intraday is allowed. This means trades can only be settled by accepting or giving the delivery of shares.

    Open: It is the price at which the financial security opens in the market when trading begins. It may or may not be different from the previous day's closing price. The security may open at a higher price than the closing price due to excess demand for the security.

    High: It is the highest price at which a stock is traded during the course of the trading day and is typically higher than the closing or equal to the opening price.

    Low: Today's low is a security's intraday low trading price. Today's low is the lowest price at which a stock trades over the course of a trading day.

    Previous Close: The previous close almost always refers to the prior day's final price of a security when the market officially closes for the day. It can apply to a stock, bond, commodity, futures or option co-contract, market index, or any other security.

    Last Traded Price: The last traded price (LTP) usually differs from the closing price of the day. This is because the closing price of the day on NSE is the weighted average price of the last 30 mins of trading. The last traded price of the day is the actual last traded price.

    Change: For a stock or bond quote, change is the difference between the current price and the last trade of the previous day. For interest rates, change is benchmarked against a major market rate (e.g., LIBOR) and may only be updated as infrequently as once a quarter.

    Percentage Change: Take the selling price and subtract the initial purchase price. The result is the gain or loss. Take the gain or loss from the investment and divide it by the original amount or purchase price of the investment. Finally, multiply the result by 100 to arrive at the percentage change in the investment.

    Share Volume: Volume is an indicator that means the total number of shares that have been bought or sold in a specific period of time or during the trading day. It will also involve the buying and selling of every share during a specific time period.

    Value (Indian Rupee): Market value—also known as market cap—is calculated by multiplying a company's outstanding shares by its current market price.

    52-Week High: A 52-week high is the highest share price that a stock has traded at during a passing year. Many market aficionados view the 52-week high as an important factor in determining a stock's current value and predicting future price movement. 52-week High prices are adjusted for Bonus, Split & Rights Corporate actions.

    52-Week Low: A 52-week low is the lowest ...

  4. Stock Market Data - Nifty 100 Stocks (1 min) data

    • kaggle.com
    zip
    Updated Aug 6, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Deba (2025). Stock Market Data - Nifty 100 Stocks (1 min) data [Dataset]. https://www.kaggle.com/datasets/debashis74017/stock-market-data-nifty-50-stocks-1-min-data/discussion
    Explore at:
    zip(995019646 bytes)Available download formats
    Dataset updated
    Aug 6, 2025
    Authors
    Deba
    License

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

    Description

    Disclaimer!!! Data uploaded here are collected from the internet. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either monetary or any favor) for this dataset.

    For the first time, Nifty 50 stocks data and two indices data, along with 55 technical indicators used by Market experts are calculated and made available. Kindly download the data and make sure to share your code in public and if you like this data, do upvote. Thank you.

    About Nifty 50

    The NIFTY 50 index is a well-diversified 50 companies index reflecting overall market conditions. NIFTY 50 Index is computed using the free float market capitalization method.

    NIFTY 50 can be used for a variety of purposes such as benchmarking fund portfolios, launching of index funds, ETFs and structured products.

    Overview

    This dataset contains historical daily prices for Nifty 100 stocks and indices currently trading on the Indian Stock Market. - Data samples are of 5-minute intervals and the availability of data is from Jan 2015 to Feb 2022. - Along with OHLCV (Open, High, Low, Close, and Volume) data, we have created 55 technical indicators. - More details about these technical indicators are provided in the Data description file.

    Content

    The whole dataset is around 33 GB (compressed here to 13 GB), and 100 stocks (Nifty 100 stocks) and 2 indices (Nifty 50 and Nifty Bank indices) are present in this dataset. Details about each file are - - OHLCV (Open, High, Low, Close, and Volume) data - 55 Technical indicator values are also present

    Inspiration

    • Data is uploaded for Research and Educational purposes.

    Possible problem statements

    • Univariate and Multi-variate time series forecasting of stock prices and index prices
    • Multi-variate data can be used to predict the trend of the stock price (Buy or Sell or Hold)
    • Different intraday or positional trading strategies can be built out of this multivariate data. [technical indicators are already added here]
    • EDA on time series data

    Stock Names

    | ACC | ADANIENT | ADANIGREEN | ADANIPORTS | AMBUJACEM | | -- | -- | -- | -- | -- | | APOLLOHOSP | ASIANPAINT | AUROPHARMA | AXISBANK | BAJAJ-AUTO | | BAJAJFINSV | BAJAJHLDNG | BAJFINANCE | BANDHANBNK | BANKBARODA | | BERGEPAINT | BHARTIARTL | BIOCON | BOSCHLTD | BPCL | | BRITANNIA | CADILAHC | CHOLAFIN | CIPLA | COALINDIA | | COLPAL | DABUR | DIVISLAB | DLF | DMART | | DRREDDY | EICHERMOT | GAIL | GLAND | GODREJCP | | GRASIM | HAVELLS | HCLTECH | HDFC | HDFCAMC | | HDFCBANK | HDFCLIFE | HEROMOTOCO | HINDALCO | HINDPETRO | | HINDUNILVR | ICICIBANK | ICICIGI | ICICIPRULI | IGL | | INDIGO | INDUSINDBK | INDUSTOWER | INFY | IOC | | ITC | JINDALSTEL | JSWSTEEL | JUBLFOOD | KOTAKBANK | | LICI | LT | LTI | LUPIN | M&M | | MARICO | MARUTI | MCDOWELL-N | MUTHOOTFIN | NAUKRI | | NESTLEIND | NIFTY 50 | NIFTY BANK | NMDC | NTPC | | ONGC | PEL | PGHH | PIDILITIND | PIIND | | PNB | POWERGRID | RELIANCE | SAIL | SBICARD | | SBILIFE | SBIN | SHREECEM | SIEMENS | SUNPHARMA | | TATACONSUM | TATAMOTORS | TATASTEEL | TCS | TECHM | | TITAN | TORNTPHARM | ULTRACEMCO | UPL | VEDL | | WIPRO | YESBANK | | | |

  5. D

    Denmark Index: Copenhagen Stock Exchange: OMX Copenhagen Ex OMXC 20

    • ceicdata.com
    Updated Sep 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, Denmark Index: Copenhagen Stock Exchange: OMX Copenhagen Ex OMXC 20 [Dataset]. https://www.ceicdata.com/en/denmark/copenhagen-stock-exchange-index/index-copenhagen-stock-exchange-omx-copenhagen-ex-omxc-20
    Explore at:
    Dataset updated
    Sep 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
    May 1, 2017 - Apr 1, 2018
    Area covered
    Denmark
    Variables measured
    Securities Exchange Index
    Description

    Denmark Index: Copenhagen Stock Exchange: OMX Copenhagen Ex OMXC 20 data was reported at 4,968.520 31Dec1995=100 in Nov 2018. This records a decrease from the previous number of 5,078.930 31Dec1995=100 for Oct 2018. Denmark Index: Copenhagen Stock Exchange: OMX Copenhagen Ex OMXC 20 data is updated monthly, averaging 2,242.556 31Dec1995=100 from Dec 1999 (Median) to Nov 2018, with 228 observations. The data reached an all-time high of 5,648.470 31Dec1995=100 in Aug 2018 and a record low of 893.460 31Dec1995=100 in Sep 2002. Denmark Index: Copenhagen Stock Exchange: OMX Copenhagen Ex OMXC 20 data remains active status in CEIC and is reported by Copenhagen Stock Exchange. The data is categorized under Global Database’s Denmark – Table DK.Z001: Copenhagen Stock Exchange: Index. On May 13, 2013 NASDAQ OMX performed changes to the KFMX indexes. The name was changeed from KFMX to OMX Copenhagen ex OMX Copenhagen 20, and the price algorithm was changed from NEWNX to Last Paid, meaning that the official closing price becomes the latest price regardless of closing best bid and ask prices.

  6. Annual performance of the Dow Jones Composite Index 2000-2024

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista, Annual performance of the Dow Jones Composite Index 2000-2024 [Dataset]. https://www.statista.com/statistics/189758/dow-jones-composite-index-closing-year-end-values-since-2000/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Dow Jones Composite Index finished the year 2024 at 13,391.71 points, an increase compared to the previous year. Even with the economic effects of the global coronavirus (COVID-19) pandemic, 2021 had the highest point of the index in the past two decades. What is Dow Jones Composite Index? The Dow Jones Composite Index is one of the indices from the Dow Jones index family. It is composed of 65 leading U.S. companies: 30 stocks forming the Dow Jones Industrial Average index, 20 stocks from the Dow Jones Transportation index and 15 stocks from the Dow Jones Utility Average index. Importance of stock indices A stock market index shows an average performance of companies from a given section of the market. It is usually a weighted average, meaning that such factors as price of companies or their market capitalization are taken into consideration when calculating the index value. Stock indices are very useful for the financial market participants, as they instantly show the sentiments prevailing on a given market. They are also commonly used as a benchmark against portfolio performance, showing if a given portfolio has outperformed, or underperformed the market.

  7. y

    S&P 500 Market Cap

    • ycharts.com
    html
    Updated Nov 5, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Standard and Poor's (2025). S&P 500 Market Cap [Dataset]. https://ycharts.com/indicators/sp_500_market_cap
    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
    Dec 31, 1999 - Sep 30, 2025
    Area covered
    United States
    Variables measured
    S&P 500 Market Cap
    Description

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

  8. S&P 500 Companies with Financial Information

    • kaggle.com
    zip
    Updated Apr 27, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Payton Fisher (2021). S&P 500 Companies with Financial Information [Dataset]. https://www.kaggle.com/datasets/paytonfisher/sp-500-companies-with-financial-information/code
    Explore at:
    zip(30231 bytes)Available download formats
    Dataset updated
    Apr 27, 2021
    Authors
    Payton Fisher
    License

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

    Description

    Context

    This is a comprehensive dataset including numerous financial metrics that many professionals and investing gurus often use to value companies. This data is a look at the companies that comprise the S&P 500 (Standard & Poor's 500). The S&P 500 is a capitalization-weighted index of the top 500 publicly traded companies in the United States (top 500 meaning the companies with the largest market cap). The S&P 500 index is a useful index to study because it generally reflects the health of the overall U.S. stock market. The dataset was last updated in July 2020.

    Content

    There are 14 rows included in this dataset: ``` - 4 character variables: - Symbol: Ticker symbol used to uniquely identify each company on a particular stock market - Name: Legal name of the company - Sector: An area of the economy where businesses share a related product or service - SEC Filings: Helpful documents relating to a company

    - 10 numeric variables:
      - Price: Price per share of the company
      - Price to Earnings (PE): The ratio of a company’s share price to its earnings per share
      - Dividend Yield: The ratio of the annual dividends per share divided by the price per share
      - Earnings Per Share (EPS): A company’s profit divided by the number of shares of its stock
      - 52 week high and low: The annual high and low of a company’s share price
      - Market Cap: The market value of a company’s shares (calculated as share price x number of shares)
      - EBITDA: A company’s earnings before interest, taxes, depreciation, and amortization; often used as a proxy for its profitability
      - Price to Sales (PS): A company’s market cap divided by its total sales or revenue over the past year
      - Price to Book (PB): A company’s price per share divided by its book value
    
    
    
    
    
    
    ### Acknowledgements
    
    I found this data on the website datahub at https://datahub.io/core/s-and-p-500-companies-financials/r/1.html. All references and citations should be given to them.
    
    
    ### Inspiration
    
    What useful information can you gleam from this dataset? Are these fundamentals enough to predict a high-quality company? How can you determine high from low quality? What would you liked to have seen in this dataset?
    
  9. F

    CBOE Volatility Index: VIX

    • fred.stlouisfed.org
    json
    Updated Dec 2, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). CBOE Volatility Index: VIX [Dataset]. https://fred.stlouisfed.org/series/VIXCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 2, 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 2025-12-01 about VIX, volatility, stock market, and USA.

  10. ALGO TRADING DATA - Nifty 500 intraday data (2025)

    • kaggle.com
    zip
    Updated Aug 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Deba (2025). ALGO TRADING DATA - Nifty 500 intraday data (2025) [Dataset]. https://www.kaggle.com/datasets/debashis74017/algo-trading-data-nifty-100-data-with-indicators
    Explore at:
    zip(3870923437 bytes)Available download formats
    Dataset updated
    Aug 6, 2025
    Authors
    Deba
    License

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

    Description

    Last Update - 9th FEB 2025

    Disclaimer!!! Data uploaded here are collected from the internet and some google drive. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either money or any favor) for this dataset. RESEARCH PURPOSE ONLY

    THIS IS THE LARGEST DATASET ON NIFTY 100 STOCKS WITH EACH MINUTES AND DAILY DATA (2015 to 2025)

    The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. It is one of the two main stock indices used in India, the other being the BSE SENSEX.

    Nifty 50 is owned and managed by NSE Indices (previously known as India Index Services & Products Limited), which is a wholly-owned subsidiary of the NSE Strategic Investment Corporation Limited.NSE Indices had a marketing and licensing agreement with Standard & Poor's for co-branding equity indices until 2013. The Nifty 50 index was launched on 22 April 1996, and is one of the many stock indices of Nifty.

    The NIFTY 50 index is a free-float market capitalization-weighted index. The index was initially calculated on a full market capitalization methodology. On 26 June 2009, the computation was changed to a free-float methodology. The base period for the NIFTY 50 index is 3 November 1995, which marked the completion of one year of operations of the National Stock Exchange Equity Market Segment. The base value of the index has been set at 1000 and a base capital of ₹ 2.06 trillion.

    Content This dataset contains Nifty 100 historical daily prices. The historical data are retrieved from the NSE India website. Each stock in this Nifty 500 and are of 1 minute itraday data.

    Every dataset contains the following fields. Open - Open price of the stock High - High price of the stock Low - Low price of the stock Close - Close price of the stock Volume - Volume traded of the stock in this time frame

    Inspiration

    • Data is uploaded for Research and Educational purposes.
    • The data scientists and researchers can download and can build EDA, find Correlations, and perform Regression analysis on it.
    • Quant researchers can build strategies and backtest their strategies with this dataset.

    Stock Names

    | ACC | ADANIENT | ADANIGREEN | ADANIPORTS | AMBUJACEM | | -- | -- | -- | -- | -- | | APOLLOHOSP | ASIANPAINT | AUROPHARMA | AXISBANK | BAJAJ-AUTO | | BAJAJFINSV | BAJAJHLDNG | BAJFINANCE | BANDHANBNK | BANKBARODA | | BERGEPAINT | BHARTIARTL | BIOCON | BOSCHLTD | BPCL | | BRITANNIA | CADILAHC | CHOLAFIN | CIPLA | COALINDIA | | COLPAL | DABUR | DIVISLAB | DLF | DMART | | DRREDDY | EICHERMOT | GAIL | GLAND | GODREJCP | | GRASIM | HAVELLS | HCLTECH | HDFC | HDFCAMC | | HDFCBANK | HDFCLIFE | HEROMOTOCO | HINDALCO | HINDPETRO | | HINDUNILVR | ICICIBANK | ICICIGI | ICICIPRULI | IGL | | INDIGO | INDUSINDBK | INDUSTOWER | INFY | IOC | | ITC | JINDALSTEL | JSWSTEEL | JUBLFOOD | KOTAKBANK | | LICI | LT | LTI | LUPIN | M&M | | MARICO | MARUTI | MCDOWELL-N | MUTHOOTFIN | NAUKRI | | NESTLEIND | NIFTY 50 | NIFTY BANK | NMDC | NTPC | | ONGC | PEL | PGHH | PIDILITIND | PIIND | | PNB | POWERGRID | RELIANCE | SAIL | SBICARD | | SBILIFE | SBIN | SHREECEM | SIEMENS | SUNPHARMA | | TATACONSUM | TATAMOTORS | TATASTEEL | TCS | TECHM | | TITAN | TORNTPHARM | ULTRACEMCO | UPL | VEDL | | WIPRO | YESBANK | | | |

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

    • statista.com
    Updated Nov 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    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.

  12. Largest stock exchange operators worldwide 2025, by market capitalization

    • statista.com
    Updated Nov 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Largest stock exchange operators worldwide 2025, by market capitalization [Dataset]. https://www.statista.com/statistics/270126/largest-stock-exchange-operators-by-market-capitalization-of-listed-companies/
    Explore at:
    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2025
    Area covered
    Worldwide
    Description

    The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of November 2025. The following largest three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

  13. T

    Slovenia Stock Market (SBITOP) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 1, 2002
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2002). Slovenia Stock Market (SBITOP) Data [Dataset]. https://tradingeconomics.com/slovenia/stock-market
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Feb 1, 2002
    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 4, 2006 - Dec 1, 2025
    Area covered
    Slovenia
    Description

    Slovenia's main stock market index, the SBITOP, fell to 2428 points on December 1, 2025, losing 0.03% from the previous session. Over the past month, the index has declined 1.78%, though it remains 46.10% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Slovenia. Slovenia Stock Market (SBITOP) - values, historical data, forecasts and news - updated on December of 2025.

  14. Iran_Bourse_Overal_Index

    • kaggle.com
    zip
    Updated Oct 29, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nima Pourmoradi (2023). Iran_Bourse_Overal_Index [Dataset]. https://www.kaggle.com/datasets/nimapourmoradi/iran-bourse-overal-index
    Explore at:
    zip(137417 bytes)Available download formats
    Dataset updated
    Oct 29, 2023
    Authors
    Nima Pourmoradi
    Area covered
    Iran
    Description

    Tehran Overal index from 2008 to 2023

    The total price index in the stock exchange, which is called the total index for short, indicates the changes in the general level of prices in the entire market and expresses the average increase or decrease in stock prices in the market. The total index does not show the amount of cash dividends paid to shareholders. For example, when it is said that the total index has grown by 30%, it means that the average stock price of listed companies has increased by 30% compared to the base year. Keep in mind that the total index can be checked and viewed in real time on the website of the Stock Exchange Technology Management Company at www.tsetmc.com.

  15. T

    Portugal Stock Market (PSI) Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Oct 27, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Portugal Stock Market (PSI) Data [Dataset]. https://tradingeconomics.com/portugal/stock-market
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Oct 27, 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 31, 1992 - Dec 2, 2025
    Area covered
    Portugal
    Description

    Portugal's main stock market index, the PSI, rose to 8215 points on December 2, 2025, gaining 1.33% from the previous session. Over the past month, the index has declined 2.74%, though it remains 28.24% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Portugal. Portugal Stock Market (PSI) - values, historical data, forecasts and news - updated on December of 2025.

  16. d

    Data from: The Forecasting Power of the Volatility Index: Evidence from the...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Surya Bahadur G. C. (2023). The Forecasting Power of the Volatility Index: Evidence from the Indian Stock Market [Dataset]. http://doi.org/10.7910/DVN/IH6IUJ
    Explore at:
    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Surya Bahadur G. C.
    Description

    Stock market volatility is a measure of risk in investment and it plays a key role in securities pricing and risk management. The paper empirically analyzes the relationship between India VIX and volatility in Indian stock market. India VIX is a measure of implied volatility which reflects markets’ expectation of future short-term stock market volatility. It is a volatility index based on the index option prices of Nifty. The study is based on time series data comprising of daily closing values of CNX Nifty 50 index comprising of 1656 observations from March 2009 to December 2015. The results of the study reveal that India VIX has predictive power for future short-term stock market volatility. It has higher forecasting ability for upward stock market movements as compared to downward movements. Therefore, it is more a bullish indicator. Moreover, the accuracy of forecasts provided by India VIX is higher for low magnitude future price changes relative to higher stock price movements. The current value of India VIX is found to be affected by past period volatility up to one month and it has forecasting ability for next one-month’s volatility which means the volatility in the Indian stock markets can be forecasted for up to 60 days period.

  17. SP500 Stock Market Index

    • kaggle.com
    zip
    Updated Sep 25, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Elvin Aghammadzada (2020). SP500 Stock Market Index [Dataset]. https://www.kaggle.com/elvinagammed/sp500-stock-market-index
    Explore at:
    zip(28034 bytes)Available download formats
    Dataset updated
    Sep 25, 2020
    Authors
    Elvin Aghammadzada
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Context

    The S&P 500,[2] or simply the S&P,[4] is a stock market index that measures the stock performance of 500 large companies listed on stock exchanges in the United States. It is one of the most commonly followed equity indices.[5] The average annual total return and compound annual growth rate of the index, including dividends, since inception in 1926 has been approximately 9.8%, or 6% after inflation; however, there were several years where the index declined over 30%.[6][7] The index has posted annual increases 70% of the time.[5] However, the index has only made new highs on 5% of trading days, meaning that on 95% of trading days, the index has closed below its all-time high.[8]

    For a list of the components of the index, see List of S&P 500 companies. The components that have increased their dividends in 25 consecutive years are known as the S&P 500 Dividend Aristocrats.[9]:25

    The S&P 500 index is a capitalization-weighted index and the 10 largest companies in the index account for 26% of the market capitalization of the index. The 10 largest companies in the index, in order of weighting, are Apple Inc., Microsoft, Amazon.com, Alphabet Inc., Facebook, Johnson & Johnson, Berkshire Hathaway, Visa Inc., Procter & Gamble and JPMorgan Chase, respectively.[2]

    Funds that track the index have been recommended as investments by Warren Buffett, Burton Malkiel, and John C. Bogle for investors with long time horizons.[10]

    Although the index includes only companies listed in the United States, companies in the index derive on average only 71% of their revenue in the United States.[11]

    The index is one of the factors in computation of the Conference Board Leading Economic Index, used to forecast the direction of the economy.[12]

    The index is associated with many ticker symbols, including: ^GSPC,[13] INX,[14] and $SPX, depending on market or website.[15] The index value is updated every 15 seconds, or 1,559 times per trading day, with price updates disseminated by Reuters.[16]

    The S&P 500 is maintained by S&P Dow Jones Indices, a joint venture majority-owned by S&P Global and its components are selected by a committee.[17][18]

    Content

    What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

    Acknowledgements

    We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

    Inspiration

    Your data will be in front of the world's largest data science community. What questions do you want to see answered?

  18. Annual development Nasdaq 100 Index 1986-2024

    • statista.com
    Updated Jul 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

  19. y

    US Investor Sentiment, % Bull-Bear Spread

    • ycharts.com
    html
    Updated Nov 21, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The American Association of Individual Investors (2025). US Investor Sentiment, % Bull-Bear Spread [Dataset]. https://ycharts.com/indicators/us_investor_sentiment_bull_bear_spread
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 21, 2025
    Dataset provided by
    YCharts
    Authors
    The American Association of Individual Investors
    License

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

    Time period covered
    Jul 24, 1987 - Nov 20, 2025
    Area covered
    United States
    Variables measured
    US Investor Sentiment, % Bull-Bear Spread
    Description

    View weekly updates and historical trends for US Investor Sentiment, % Bull-Bear Spread. from United States. Source: The American Association of Individua…

  20. T

    Thailand Stock Market (SET50) Data

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). Thailand Stock Market (SET50) Data [Dataset]. https://tradingeconomics.com/thailand/stock-market
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Oct 6, 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
    Aug 16, 1995 - Dec 2, 2025
    Area covered
    Thailand
    Description

    Thailand's main stock market index, the SET 50, rose to 838 points on December 2, 2025, gaining 0.11% from the previous session. Over the past month, the index has declined 1.57% and is down 10.83% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Thailand. Thailand Stock Market (SET50) - values, historical data, forecasts and news - updated on December of 2025.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS, Kenya Stock Market (NSE20) Data [Dataset]. https://tradingeconomics.com/kenya/stock-market

Kenya Stock Market (NSE20) Data

Kenya Stock Market (NSE20) - Historical Dataset (1997-11-25/2025-12-02)

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, csv, jsonAvailable download formats
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
Nov 25, 1997 - Dec 2, 2025
Area covered
Kenya
Description

Kenya's main stock market index, the Nairobi 20, fell to 3024 points on December 2, 2025, losing 0.47% from the previous session. Over the past month, the index has declined 4.11%, though it remains 64.78% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Kenya. Kenya Stock Market (NSE20) - values, historical data, forecasts and news - updated on December of 2025.

Search
Clear search
Close search
Google apps
Main menu