100+ datasets found
  1. Stock Market Dataset

    • kaggle.com
    zip
    Updated Apr 2, 2020
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    Oleh Onyshchak (2020). Stock Market Dataset [Dataset]. http://doi.org/10.34740/kaggle/dsv/1054465
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    zip(547714524 bytes)Available download formats
    Dataset updated
    Apr 2, 2020
    Authors
    Oleh Onyshchak
    License

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

    Description

    Overview

    This dataset contains historical daily prices for all tickers currently trading on NASDAQ. The up to date list is available from nasdaqtrader.com. The historic data is retrieved from Yahoo finance via yfinance python package.

    It contains prices for up to 01 of April 2020. If you need more up to date data, just fork and re-run data collection script also available from Kaggle.

    Data Structure

    The date for every symbol is saved in CSV format with common fields:

    • Date - specifies trading date
    • Open - opening price
    • High - maximum price during the day
    • Low - minimum price during the day
    • Close - close price adjusted for splits
    • Adj Close - adjusted close price adjusted for both dividends and splits.
    • Volume - the number of shares that changed hands during a given day

    All that ticker data is then stored in either ETFs or stocks folder, depending on a type. Moreover, each filename is the corresponding ticker symbol. At last, symbols_valid_meta.csv contains some additional metadata for each ticker such as full name.

  2. 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
    Europe, Slovenia, Switzerland, Italy, Croatia, Andorra, Latvia, Belgium, Lithuania, Denmark, Finland
    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.

  3. F

    Financial Market: Share Prices for Chile

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
    + more versions
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    (2025). Financial Market: Share Prices for Chile [Dataset]. https://fred.stlouisfed.org/series/SPASTT01CLM661N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

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

    Area covered
    Chile
    Description

    Graph and download economic data for Financial Market: Share Prices for Chile (SPASTT01CLM661N) from Jan 1990 to May 2025 about Chile and stock market.

  4. Share of Americans investing money in the stock market 1999-2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Share of Americans investing money in the stock market 1999-2024 [Dataset]. https://www.statista.com/statistics/270034/percentage-of-us-adults-to-have-money-invested-in-the-stock-market/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2024
    Area covered
    United States
    Description

    In 2024, ** 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.

  5. F

    Financial Market: Share Prices for Ireland

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
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    (2025). Financial Market: Share Prices for Ireland [Dataset]. https://fred.stlouisfed.org/series/SPASTT01IEM661N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

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

    Description

    Graph and download economic data for Financial Market: Share Prices for Ireland (SPASTT01IEM661N) from Jan 1955 to May 2025 about Ireland and stock market.

  6. United States US: Stocks Traded: Total Value

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States US: Stocks Traded: Total Value [Dataset]. https://www.ceicdata.com/en/united-states/financial-sector/us-stocks-traded-total-value
    Explore at:
    Dataset updated
    Mar 15, 2023
    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Turnover
    Description

    United States US: Stocks Traded: Total Value data was reported at 39,785.881 USD bn in 2017. This records a decrease from the previous number of 42,071.330 USD bn for 2016. United States US: Stocks Traded: Total Value data is updated yearly, averaging 17,934.293 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 47,245.496 USD bn in 2008 and a record low of 1,108.421 USD bn in 1984. United States US: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

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

    • statista.com
    • ai-chatbox.pro
    Updated Mar 20, 2023
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    Statista (2023). 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 20, 2023
    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.

  8. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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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 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 - Jul 14, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3520 points on July 14, 2025, gaining 0.27% from the previous session. Over the past month, the index has climbed 3.86% and is up 18.35% compared to the same time last year, 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 July of 2025.

  9. 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
    Explore at:
    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 11, 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 11 of 2025.

  10. US Options Data Packages for Trading, Research, Education & Sentiment

    • datarade.ai
    Updated Dec 6, 2021
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    Intrinio (2021). US Options Data Packages for Trading, Research, Education & Sentiment [Dataset]. https://datarade.ai/data-products/us-options-data-packages-for-trading-research-education-s-intrinio
    Explore at:
    Dataset updated
    Dec 6, 2021
    Dataset authored and provided by
    Intrinio
    Area covered
    United States of America
    Description

    We offer three easy-to-understand packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

    Bronze

    The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD options prices sourced from OPRA.

    When you’re ready for launch, it’s a seamless transition to our Silver package for delayed options prices, Greeks and implied volatility, and unusual options activity, plus delayed equity prices.

    • Latest EOD OPRA options prices

    Exchange Fees & Requirements:

    This package requires no paperwork or exchange fees.

    Bronze Benefits:

    • Web API access
    • 300 API calls/minute limit
    • File downloads
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support

    Silver

    The Silver package is ideal for clients that want delayed options data for their platform, or for startups in the development and testing phase. You’ll get 15-minute delayed options data, Greeks, implied volatility, and unusual options activity, plus the latest EOD options prices and delayed equity prices.

    You can easily move up to the Gold package for real-time options and equity prices, additional access methods, and premium support options.

    • 15-minute delayed OPRA options prices, Greeks & IV
    • 15-minute delayed OPRA unusual options activity
    • Latest EOD OPRA options prices
    • 15-minute delayed equity prices
    • Underlying security reference data

    Exchange Fees & Requirements:

    If you subscribe to the Silver package and will not display the data outside of your firm, you’ll need to fill out a simplified exchange agreement and send it back to us. There are no exchange fees and we can provide immediate access to the data.

    If you subscribe to the Silver package and will display the data outside of your firm, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is not required, so there are no variable per user fees.

    Silver Benefits:

    • Assistance with OPRA paperwork
    • Web API access
    • 2,000 API calls/minute limit
    • File downloads
    • Access to third-party datasets via Intrinio API (additional fees required)
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support
    • Concierge customer success team
    • Comarketing & promotional initiatives

    Gold

    The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers real-time options prices, Greeks and implied volatility, and unusual options activity, as well as the latest EOD options prices and real-time equity prices.

    You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

    • Real-time OPRA options prices, Greeks & IV
    • Real-time OPRA unusual options activity
    • Latest EOD OPRA options prices
    • Real-time equity prices
    • Underlying security reference data

    Exchange Fees & Requirements:

    If you subscribe to the Gold package, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is required, with an associated variable per user fee.

    Gold Benefits:

    • Assistance with OPRA paperwork
    • Web API access
    • 2,000 API calls/minute limit
    • WebSocket access (additional fee)
    • Customizable access methods (Snowflake, FTP, etc.)
    • Access to third-party datasets via Intrinio API (additional fees required)
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support
    • Concierge customer success team
    • Comarketing & promotional initiatives
    • Access to engineering team

    Platinum

    Don’t see a package that fits your needs? Our team can design a premium custom package for your business.

  11. The Dow Jones U.S. Completion Total Stock Market Index (Forecast)

    • kappasignal.com
    Updated May 8, 2023
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    KappaSignal (2023). The Dow Jones U.S. Completion Total Stock Market Index (Forecast) [Dataset]. https://www.kappasignal.com/2023/05/the-dow-jones-us-completion-total-stock.html
    Explore at:
    Dataset updated
    May 8, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    The Dow Jones U.S. Completion Total Stock Market Index

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  12. d

    TagX - Stock market data | End of Day Pricing Data | Shares, Equities &...

    • datarade.ai
    .json, .csv, .xls
    Updated Feb 27, 2024
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    TagX (2024). TagX - Stock market data | End of Day Pricing Data | Shares, Equities & bonds | Global Coverage | 10 years historical data [Dataset]. https://datarade.ai/data-products/stock-market-data-end-of-day-pricing-data-shares-equitie-tagx
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    TagX
    Area covered
    Niue, Equatorial Guinea, Guam, Germany, Guadeloupe, Yemen, Mauritius, Kiribati, Pakistan, Japan
    Description

    TagX is your trusted partner for stock market and financial data solutions. We specialize in delivering real-time and end-of-day data feeds that power software, trading algorithms, and risk management systems globally. Whether you're a financial institution, hedge fund, or individual investor, our reliable datasets provide essential insights into market trends, historical pricing, and key financial metrics.

    TagX is committed to precision and reliability in stock market data. Our comprehensive datasets include critical information such as date, open/close/high/low prices, trading volume, EPS, P/E ratio, dividend yield, and more. Tailor your dataset to match your specific requirements, choosing from a wide range of parameters and coverage options across primary listings on NASDAQ, AMEX, NYSE, and ARCA exchanges.

    Key Features of TagX Stock Market Data:

    Custom Dataset Requests: Customize your data feed to focus on specific metrics and parameters crucial to your trading strategy.

    Extensive Coverage: Access data from reputable exchanges and market participants, ensuring accuracy and completeness in your analyses.

    Flexible Pricing Models: Choose pricing structures based on your selected parameters, offering cost-effective solutions tailored to your needs.

    Why Choose TagX? Partner with TagX for precise, dependable, and customizable stock market data solutions. Whether you require real-time updates or end-of-day valuations, our datasets are designed to support informed decision-making and enhance your competitive edge in the financial markets. Trust TagX to deliver the data integrity and accuracy essential for maximizing your trading potential.

  13. Equity market capitalization worldwide 2013-2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 10, 2025
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    Statista (2025). Equity market capitalization worldwide 2013-2024 [Dataset]. https://www.statista.com/statistics/274490/global-value-of-share-holdings-since-2000/
    Explore at:
    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The value of global domestic equity market increased from 65.04 trillion U.S. dollars in 2013 to 124.63 trillion U.S. dollars in 2023. The United States was by far the leading country with the largest share of total world stocks as of 2024. Global market capitalization in different regions The market capitalization of domestic companies listed varied across different regions of the world. As of Decmber 2024, the Americas region had the largest domestic equity market, totaling 62 trillion U.S. dollars. This region is home to the NYSE and Nasdaq, which are the two largest stock exchange operators in the world. The market capitalization of these two exchanges alone exceeded 60 billion U.S. dollars as of January 2025, larger than the total market capitalization in the Asia-Pacific, and in the EMEA regions in the same period. Largest Stock Exchanges in Latin America As of December 2024, the B3 (Brasil Bolsa Balcao) was the biggest stock exchange in Latin America in terms of market capitalization and the second-largest in terms of number of listed companies. Following the B3 were the Mexican Stock Exchange and the Santiago Stock Exchange in Chile. The most valuable company in Latin America is listed on the Mexican Stock Exchange: Fomento Económico Mexicano, a multinational beverage and retail company headquartered in Monterrey, had market cap of 177 billion U.S. dollars as of March 2025.

  14. 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
    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.

  15. T

    Globe Life | GL - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 27, 2019
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    TRADING ECONOMICS (2019). Globe Life | GL - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/gl:us
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Dec 27, 2019
    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 13, 2025
    Area covered
    United States
    Description

    Globe Life stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  16. M

    Microsoft - 39 Year Stock Price History | MSFT

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Microsoft - 39 Year Stock Price History | MSFT [Dataset]. https://www.macrotrends.net/stocks/charts/MSFT/microsoft/stock-price-history
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    The latest closing stock price for Microsoft as of June 18, 2025 is 480.24. An investor who bought $1,000 worth of Microsoft stock at the IPO in 1986 would have $8,056,718 today, roughly 8,057 times their original investment - a 25.94% compound annual growth rate over 39 years. The all-time high Microsoft stock closing price was 480.24 on June 18, 2025. The Microsoft 52-week high stock price is 481.00, which is 0.2% above the current share price. The Microsoft 52-week low stock price is 344.79, which is 28.2% below the current share price. The average Microsoft stock price for the last 52 weeks is 422.77. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  17. Pakistan PK: Stocks Traded: Total Value

    • ceicdata.com
    Updated May 15, 2023
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    Pakistan PK: Stocks Traded: Total Value [Dataset]. https://www.ceicdata.com/en/pakistan/financial-sector/pk-stocks-traded-total-value
    Explore at:
    Dataset updated
    May 15, 2023
    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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Pakistan
    Variables measured
    Turnover
    Description

    Pakistan PK: Stocks Traded: Total Value data was reported at 27.536 USD bn in 2016. This records an increase from the previous number of 27.108 USD bn for 2015. Pakistan PK: Stocks Traded: Total Value data is updated yearly, averaging 20.824 USD bn from Dec 1996 (Median) to 2016, with 21 observations. The data reached an all-time high of 140.293 USD bn in 2004 and a record low of 539.700 USD mn in 2014. Pakistan PK: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  18. d

    Year wise Annual Averages of Share Price Indices and Market Capitalisation

    • dataful.in
    Updated Jul 1, 2025
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    Dataful (Factly) (2025). Year wise Annual Averages of Share Price Indices and Market Capitalisation [Dataset]. https://dataful.in/datasets/17954
    Explore at:
    xlsx, application/x-parquet, csvAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Share Price Indices, Market Capitalisation
    Description

    The dataset shows average of Share Price Indices and Market Capitalisation

    Note: 1. Market capitalisation data are as at end-December up to 1987-88 and at end-March from 1988-89 onwards. 2. Compilation of RBI index was discontinued by the Reserve Bank of India since 1999-2000. Similarly, the compilation of data on the All-India market capitalisation was discontinued by Bombay Stock Exchange Limited (BSE), since 1999-2000. 3. BSE 100 Index introduced from October 14, 1996 was previously known as BSE National Index. BSE National Index (Base: 1983-84 = 100) comprised 100 stocks listed at five major stock exchanges in India - Mumbai, Calcutta, Delhi, Ahmedabad and Madras, while BSE 100 index into account only the prices of stocks listed at BSE. 4. BSE 100 index has been re-based as 1983-84=58 with effect from June 04, 2012. Since 2009-10, data is based on re-based index value of 58.

  19. Tesla monthly share price on the Nasdaq stock exchange 2010-2025

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Tesla monthly share price on the Nasdaq stock exchange 2010-2025 [Dataset]. https://www.statista.com/statistics/1331184/tesla-share-price-development-monthly/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2010 - Feb 2025
    Area covered
    United States
    Description

    The price of Tesla shares traded on the Nasdaq stock exchange remained rather stable between July 2010 and January 2020. With the beginning of 2020, the price of Tesla share increased dramatically and stood at ****** U.S. dollars per share in November 2021. Since then, the price of Tesla share fluctuated significantly and reached its peak at ****** U.S. dollars per share in December 2024, before falling dramatically in February 2025. Why did Tesla's stock value go up in 2020? Despite the effects of the pandemic, Tesla share prices experienced a massive increase in 2020. Tesla kept increasing its output levels throughout the year, except for the second quarter, and released its new vehicle Tesla Model Y. Additionally, when the company was added to the S&P 500 index in August 2020, it instilled further trust in investors. In 2020, Tesla was the top-performing stock on the S&P 500 index, and two years later, in 2024, it ranked among the ten largest companies on the index by market capitalization. Steady growth in the last decade Founded in 2003, Tesla primarily focuses on designing and producing electric vehicles, as well as energy generation and storage systems. Since then, Tesla's revenue has steadily increased, reaching nearly ** million U.S. dollars in 2024. Most of the revenue came from automotive sales in 2024. Tesla's first electric car, the Roadster, was sold between 2008 and 2012. Currently, the company offers four primary electric vehicles: Model 3, Model Y, Model S, and Model X.

  20. End-of-Day Price Data Cayman Islands Techsalerator

    • kaggle.com
    Updated Aug 23, 2023
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    Techsalerator (2023). End-of-Day Price Data Cayman Islands Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-price-data-cayman-islands-techsalerator/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Area covered
    Cayman Islands
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 1000 companies listed on the Cayman Islands Stock Exchange (XCAY) in Cayman Islands. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

    Top 5 used data fields in the End-of-Day Pricing Dataset for Cayman Islands :

    1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

    2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

    3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

    4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

    5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

    Top 5 financial instruments with End-of-Day Pricing Data in Cayman Islands:

    Cayman Islands Stock Exchange (CSX) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Cayman Islands Stock Exchange. This index provides insights into the overall market performance of companies based in the Cayman Islands.

    Cayman Islands Stock Exchange (CSX) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Cayman Islands Stock Exchange. This index reflects the performance of international companies that are listed and traded on the CSX.

    Financial Services Corporation Cayman Trust Bank: A major financial institution based in the Cayman Islands, offering banking, investment, and wealth management services. This company's securities are listed and traded on the CSX.

    Real Estate Development Group Cayman Properties: A prominent real estate development company operating in the Cayman Islands, involved in the construction of residential and commercial properties. This company's securities are listed on the CSX.

    Offshore Investment Fund Cayman Capital: An offshore investment fund registered in the Cayman Islands, offering investment opportunities to both local and international investors. Units of this fund are traded on the CSX.

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Cayman Islands, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    Data fields included:

    Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

    Q&A:

    1. How much does the End-of-Day Pricing Data cost in Cayman Islands ?

    The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    1. How complete is the End-of-Day Pricing Data coverage in Cayman Islands?

    Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Cayman Islands exchanges.

    1. How does Techsalerator collect this data?

    Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

    1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

    Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botsw...

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Oleh Onyshchak (2020). Stock Market Dataset [Dataset]. http://doi.org/10.34740/kaggle/dsv/1054465
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Stock Market Dataset

Historical daily prices of Nasdaq-traded stocks and ETFs

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4 scholarly articles cite this dataset (View in Google Scholar)
zip(547714524 bytes)Available download formats
Dataset updated
Apr 2, 2020
Authors
Oleh Onyshchak
License

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

Description

Overview

This dataset contains historical daily prices for all tickers currently trading on NASDAQ. The up to date list is available from nasdaqtrader.com. The historic data is retrieved from Yahoo finance via yfinance python package.

It contains prices for up to 01 of April 2020. If you need more up to date data, just fork and re-run data collection script also available from Kaggle.

Data Structure

The date for every symbol is saved in CSV format with common fields:

  • Date - specifies trading date
  • Open - opening price
  • High - maximum price during the day
  • Low - minimum price during the day
  • Close - close price adjusted for splits
  • Adj Close - adjusted close price adjusted for both dividends and splits.
  • Volume - the number of shares that changed hands during a given day

All that ticker data is then stored in either ETFs or stocks folder, depending on a type. Moreover, each filename is the corresponding ticker symbol. At last, symbols_valid_meta.csv contains some additional metadata for each ticker such as full name.

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