100+ datasets found
  1. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +9more
    csv, excel, json, xml
    Updated Jun 15, 2025
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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
    Jun 15, 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 - Jul 18, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, fell to 6295 points on July 18, 2025, losing 0.04% from the previous session. Over the past month, the index has climbed 5.47% and is up 14.34% compared to the same time last year, 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 July of 2025.

  2. 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.

  3. 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.

  4. 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.

  5. TESLA STOCK PRICE HISTORY

    • kaggle.com
    Updated Jun 17, 2025
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    Adil Shamim (2025). TESLA STOCK PRICE HISTORY [Dataset]. https://www.kaggle.com/datasets/adilshamim8/tesla-stock-price-history
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Kaggle
    Authors
    Adil Shamim
    License

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

    Description

    This dataset presents an extensive record of daily historical stock prices for Tesla, Inc. (TSLA), one of the world’s most innovative and closely watched electric vehicle and clean energy companies. The data was sourced from Yahoo Finance, a widely used and trusted provider of financial market data, and covers a significant period spanning from Tesla’s initial public offering (IPO) to the most recent date available at the time of extraction.

    The dataset includes critical trading metrics for each market day, such as the opening price, highest and lowest prices of the day, closing price, adjusted closing price (accounting for dividends and splits), and total trading volume. This rich dataset supports a variety of use cases, including financial market analysis, investment research, time series forecasting, development and backtesting of trading algorithms, and educational projects in data science and finance.

    Dataset Features

    • Date: The calendar date for each trading session (in YYYY-MM-DD format)
    • Open: The opening price of TSLA shares at the start of the trading day
    • High: The highest price reached during the trading session
    • Low: The lowest price reached during the trading session
    • Close: The last price at which the stock traded during the day
    • Adj Close: The closing price adjusted for corporate actions (splits, dividends, etc.)
    • Volume: The total number of TSLA shares traded on that day

    Source and Collection Details

    • Source: Yahoo Finance - Tesla (TSLA) Historical Data
    • Collection Method: Data was downloaded using Yahoo Finance's CSV export feature for accuracy and completeness.
    • Time Range: Covers from Tesla’s IPO (June 2010) to the most recent available trading day.
    • Data Integrity: Minimal cleaning was performed—dates were standardized, and any duplicate or empty rows were removed; all values remain as originally reported by Yahoo Finance.

    Example Use Cases

    • Stock Price Prediction: Train and test time series models (ARIMA, LSTM, Prophet, etc.) to forecast Tesla’s stock prices.
    • Algorithmic Trading: Backtest and evaluate trading strategies using historical price and volume data.
    • Market Trend Analysis: Analyze price trends, volatility, and return rates over different periods.
    • Event Study: Investigate the impact of major announcements (e.g., product launches, earnings releases) on TSLA stock price.
    • Educational Projects: Use as a hands-on resource for learning finance, statistics, or machine learning.

    License & Acknowledgments

    • Intended Use: This dataset is provided for academic, research, and personal projects. For commercial or investment use, please verify data accuracy and consult Yahoo Finance’s terms of use.
    • Acknowledgment: Data sourced from Yahoo Finance. All trademarks and copyrights belong to their respective owners.
  6. M

    Exxon - 41 Year Stock Price History | XOM

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Exxon - 41 Year Stock Price History | XOM [Dataset]. https://www.macrotrends.net/stocks/charts/XOM/exxon/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 Exxon as of June 27, 2025 is 109.38. An investor who bought $1,000 worth of Exxon stock at the IPO in 1984 would have $41,833 today, roughly 42 times their original investment - a 9.60% compound annual growth rate over 41 years. The all-time high Exxon stock closing price was 122.12 on October 07, 2024. The Exxon 52-week high stock price is 126.34, which is 15.5% above the current share price. The Exxon 52-week low stock price is 97.80, which is 10.6% below the current share price. The average Exxon stock price for the last 52 weeks is 112.58. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  7. d

    Historical stock prices | Level 1,2,3 Data and System events

    • datarade.ai
    .json, .csv
    Updated Mar 13, 2025
    + more versions
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    CoinAPI (2025). Historical stock prices | Level 1,2,3 Data and System events [Dataset]. https://datarade.ai/data-products/historical-stock-prices-level-1-2-3-data-and-system-events-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Bermuda, Libya, American Samoa, Niue, Sierra Leone, Namibia, Germany, Thailand, Bouvet Island, Peru
    Description

    FinFeedAPI provides equity market data covering over 11,000 symbols, featuring historical T+1 data with an unlimited loopback period. We deliver everything from detailed trade records and multiple levels of order book depth (Level 1-3) to crucial regulatory and system messages.

    Our data is engineered for performance, featuring nano-second precision timestamps. This ensures a competitive edge for high-frequency trading by enabling fair, accurate, and auditable transaction sequencing, critical for regulatory compliance. Access comprehensive equity market intelligence directly through our robust API offerings.

    Why FinFeedAPI?

    Market Coverage & Data Depth: - Historical Data: T+1 data on 11K+ symbols with unlimited historical lookback. - Trade Feeds: Detailed trade records including timestamps, sizes, prices, and conditions (e.g., odd lot, intermarket sweep, extended hours). - Level 1 Quotes: Best bid/ask prices, sizes, and timestamps. - Level 2 Price Book: Market depth with multiple bid/ask prices and aggregate order sizes. - Level 3 Order Book: The complete order book detailing individual orders.

    Essential Messages: - Admin Messages: Trading status, official open/close prices, auction states, short sale restrictions, retail liquidity indicators, security directory. - System Events: Exchange-level notifications for key trading session phases.

    Precision & Reliability: - Nano-second Timestamps: Ensuring fair, accurate, and auditable transaction sequencing for HFT and compliance. - Institutional Trust: Relied upon by financial institutions for dependable equity market information.

    Financial institutions and trading firms rely on FinFeedAPI for mission-critical equity market intelligence. We are committed to delivering clean, precise, and comprehensive data when it matters most. If you require dependable and granular stock market data, FinFeedAPI provides the actionable insights you need.

  8. M

    AT&T - 42 Year Stock Price History | T

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). AT&T - 42 Year Stock Price History | T [Dataset]. https://www.macrotrends.net/stocks/charts/T/at-t/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 AT&T as of June 17, 2025 is 27.66. An investor who bought $1,000 worth of AT&T stock at the IPO in 1983 would have $113,915 today, roughly 114 times their original investment - a 11.96% compound annual growth rate over 42 years. The all-time high AT&T stock closing price was 28.42 on June 10, 2025. The AT&T 52-week high stock price is 29.03, which is 5% above the current share price. The AT&T 52-week low stock price is 17.90, which is 35.3% below the current share price. The average AT&T stock price for the last 52 weeks is 23.44. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  9. US Equities Packages - Stock Prices & Fundamentals

    • datarade.ai
    Updated Dec 26, 2021
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    Intrinio (2021). US Equities Packages - Stock Prices & Fundamentals [Dataset]. https://datarade.ai/data-products/us-equities-packages-stock-prices-fundamentals-intrinio
    Explore at:
    Dataset updated
    Dec 26, 2021
    Dataset authored and provided by
    Intrinio
    Area covered
    United States
    Description

    We offer three easy-to-understand equity data 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 equity pricing data, standardized financial statement data, and supplementary fundamental datasets.

    When you’re ready for launch, it’s a seamless transition to our Silver package for additional data sets, 15-minute delayed equity pricing data, expanded history, and more.

    • Historical EOD equity prices & technicals (10 years history)
    • Security reference data
    • Standardized & as-reported financial statements (5 years history)
    • 7 supplementary fundamental data sets

    Bronze Benefits:

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

    Silver

    The Silver package is ideal for startups that are in development, testing, or in the beta launch phase. Hit the ground running with 15-minute delayed and historical intraday and EOD equity prices, plus our standardized and as-reported financial statement data with nine supplementary data sets, including insider transactions and institutional ownership.

    When you’re ready to scale, easily move up to the Gold package for our full range of data sets and full history, real-time equity pricing data, premium support options, and much more.

    • 15-minute delayed & historical intraday equity prices
    • Historical EOD equity prices & technicals (full history)
    • Security reference data
    • Standardized & as-reported financial statements (10 years history)
    • 9 supplementary fundamental data sets

    Silver Benefits:

    • Web API access
    • 2,000 API calls/minute limit
    • 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

    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 our complete collection of equity pricing data feeds, from real-time to historical EOD, plus standardized financial statement data and nine supplementary feeds.

    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 equity prices
    • Historical intraday equity prices
    • Historical EOD equity prices & technicals (full history)
    • Security reference data
    • Standardized & as-reported financial statements (full history)
    • 9 supplementary fundamental data sets

    Gold Benefits:

    • No exchange fees
    • No user reporting or variable per-user exchange fees
    • High liquidity (6%+)
    • Web API & WebSocket access
    • 2,000 API calls/minute limit
    • 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
    • Access to engineering team
    • Concierge customer success team
    • Comarketing & promotional initiatives

    Platinum

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

  10. Meta monthly share price on the Nasdaq stock exchange 2012-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jul 9, 2025
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    Statista (2025). Meta monthly share price on the Nasdaq stock exchange 2012-2025 [Dataset]. https://www.statista.com/statistics/1331143/meta-share-price-development-monthly/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2012 - Jan 2025
    Area covered
    United States
    Description

    The price of Meta (former Facebook) shares traded on the Nasdaq stock exchange fluctuated significantly but increased overall during the period from May 2012 to January 2025. After peaking at ****** U.S. dollars per share in August 2021, the price of Meta shares started to fluctuate and exceeded its previous peak in 2025. The share price stood at ****** U.S. dollars as of the end of January 2025. Substantial fluctuations in the last few years Meta's stock prices have fluctuated particularly after the rebranding announcement in late 2021. Following the announcement and through 2022, Meta's revenue remained rather stagnant, and its net income decreased considerably. Moreover, the tech giant announced one of the industry's largest layoffs in late 2022. As a result, the share price hit a low of ***** U.S. dollars in October 2022, the lowest value observed since 2016. However, Meta's share price has been steadily recovering since then. Shift in strategy for the world’s first social network Meta has shifted its focus to the metaverse, virtual reality (VR), and augmented reality (AR), with the rebranding in late 2021. As a result, Reality Labs was established as a dedicated business and research unit to focus on developing metaverse and AR/VR technologies. However, as of early 2023, Meta still relies mainly on advertising and its Family of Apps to generate most of its revenue, despite having made significant investments in virtual reality. Reality Labs generated *** billion U.S. dollars in revenue in 2024 and has been consistently incurring operating losses since 2019.

  11. Dataset: Tradeweb Markets Inc. (TW) Stock Performance

    • zenodo.org
    csv
    Updated Jun 27, 2024
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    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade (2024). Dataset: Tradeweb Markets Inc. (TW) Stock Performance [Dataset]. http://doi.org/10.5281/zenodo.12565548
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

  12. T

    Kellanova | K - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
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    TRADING ECONOMICS (2017). Kellanova | K - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/k:us
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    May 26, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Jul 18, 2025
    Area covered
    United States
    Description

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

  13. o

    Dataset: Prairie Operating Co. (PROP) Stock Performance

    • explore.openaire.eu
    • zenodo.org
    Updated Jun 26, 2024
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    Nitiraj Kulkarni; Jagadish Tawade (2024). Dataset: Prairie Operating Co. (PROP) Stock Performance [Dataset]. http://doi.org/10.5281/zenodo.12561875
    Explore at:
    Dataset updated
    Jun 26, 2024
    Authors
    Nitiraj Kulkarni; Jagadish Tawade
    Description

    This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

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

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Mar 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ********* at the end of March 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.

  15. d

    Weighted Stock Price Index Historical Data

    • data.gov.tw
    csv
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    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., Weighted Stock Price Index Historical Data [Dataset]. https://data.gov.tw/en/datasets/11755
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Historical data of the Taiwan Stock Exchange Weighted Index

  16. T

    Federal Grid | FEES - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 26, 2015
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    TRADING ECONOMICS (2015). Federal Grid | FEES - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/fees:rm
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Nov 26, 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 18, 2025
    Description

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

  17. Dataset: eBay Inc. (EBAY) Stock Performance

    • zenodo.org
    csv
    Updated Jun 26, 2024
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    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade (2024). Dataset: eBay Inc. (EBAY) Stock Performance [Dataset]. http://doi.org/10.5281/zenodo.12556029
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 26, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

  18. M

    Bank Of America - 41 Year Stock Price History | BAC

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Bank Of America - 41 Year Stock Price History | BAC [Dataset]. https://www.macrotrends.net/stocks/charts/BAC/bank-of-america/stock-price-history
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 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 Bank Of America as of May 27, 2025 is 44.22. An investor who bought $1,000 worth of Bank Of America stock at the IPO in 1984 would have $30,631 today, roughly 31 times their original investment - a 8.79% compound annual growth rate over 41 years. The all-time high Bank Of America stock closing price was 47.44 on February 06, 2025. The Bank Of America 52-week high stock price is 48.08, which is 8.7% above the current share price. The Bank Of America 52-week low stock price is 33.06, which is 25.2% below the current share price. The average Bank Of America stock price for the last 52 weeks is 42.15. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  19. Dataset: The Dixie Group, Inc. (DXYN) Stock Performance

    • zenodo.org
    csv
    Updated Jun 26, 2024
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    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade (2024). Dataset: The Dixie Group, Inc. (DXYN) Stock Performance [Dataset]. http://doi.org/10.5281/zenodo.12555995
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 26, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

  20. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 16, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
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    jsonAvailable download formats
    Dataset updated
    Jul 16, 2025
    License

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

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

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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 (1928-01-03/2025-07-18)

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23 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, json, csvAvailable download formats
Dataset updated
Jun 15, 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 - Jul 18, 2025
Area covered
United States
Description

The main stock market index of United States, the US500, fell to 6295 points on July 18, 2025, losing 0.04% from the previous session. Over the past month, the index has climbed 5.47% and is up 14.34% compared to the same time last year, 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 July of 2025.

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