62 datasets found
  1. Historical Components Of The Dow Jones (DJIA)

    • kaggle.com
    Updated Nov 10, 2021
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    hugequiz.com (2021). Historical Components Of The Dow Jones (DJIA) [Dataset]. https://www.kaggle.com/darinhawley/historical-components-of-the-dow-jones-djia/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 10, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    hugequiz.com
    License

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

    Description

    The Dow Jones Industrial Average began as 12 companies on May 5, 1896 and currently contains 30 component companies. Over the years, companies have been added and replaced. This is a complete listing of current and former component companies.

    This data was compiled to create this quiz: https://hugequiz.com/quizzes/historical-components-of-the-dow-jones-djia/

  2. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Oct 3, 2025
    + more versions
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    (2025). Dow Jones Industrial Average [Dataset]. https://fred.stlouisfed.org/series/DJIA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 3, 2025
    License

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

    Description

    Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-10-05 to 2025-10-03 about stock market, average, industry, and USA.

  3. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +11more
    csv, excel, json, xml
    Updated Oct 8, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Oct 8, 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 - Oct 8, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6748 points on October 8, 2025, gaining 0.50% from the previous session. Over the past month, the index has climbed 3.62% and is up 16.51% 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 October of 2025.

  4. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Oct 3, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Oct 3, 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.

  5. Dow Jones 1/jan/2000 to 6/dec/2017

    • kaggle.com
    Updated Dec 6, 2017
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    Dan Chrispine (2017). Dow Jones 1/jan/2000 to 6/dec/2017 [Dataset]. https://www.kaggle.com/dantest232/dow-jones-1jan2000-to-6dec2017/tasks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 6, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Dan Chrispine
    Description

    Context

    There's a story behind every dataset and here's your opportunity to share yours.

    Content

    This is a collection of daily (OHLC, Adj Close and Volume) data for the Dow Jones Companies from 1st January 2000 to Dec 6th 2017.

    The Dow Jones is an index that shows how 30 large publicly owned companies based in the United States have traded during a standard trading session in the stock market. It is the second-oldest U.S. market index after the Dow Jones Transportation Average, which was also created by Dow.

    Acknowledgements

    Yahoo Finance

    Inspiration

    Possible exploration: Stock Correlation over the last 17 years

  6. 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.

  7. m

    U.S. Stock Market Data - Dow Jones (501 companies, 2010-2016)

    • data.mendeley.com
    Updated Sep 12, 2020
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    Andreas Maniatopoulos (2020). U.S. Stock Market Data - Dow Jones (501 companies, 2010-2016) [Dataset]. http://doi.org/10.17632/hfzvhd2f5p.1
    Explore at:
    Dataset updated
    Sep 12, 2020
    Authors
    Andreas Maniatopoulos
    License

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

    Description

    The dataset consists of daily data from US Dow Jones for 501 large companies, over the time span 2010-2016, while monthly publicly available indexes are also used.

  8. The data about the 30 DJIA companies.

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Peter Gabrovšek; Darko Aleksovski; Igor Mozetič; Miha Grčar (2023). The data about the 30 DJIA companies. [Dataset]. http://doi.org/10.1371/journal.pone.0173151.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Peter Gabrovšek; Darko Aleksovski; Igor Mozetič; Miha Grčar
    License

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

    Description

    The collected tweets and Earnings Announcements (EA) cover the period of three years, from June 1, 2013 to June 3, 2016. Companies are ordered by the total number of tweets collected. For each company, there is the sentiment distribution, market capitalization, and the prevailing timing of EAs with respect to the NYSE trading hours. Each company issues four EAs per year, therefore there is a total of 360 EAs (30 companies, three years, four EAs per year)1.

  9. S&P 500

    • kaggle.com
    Updated Mar 27, 2019
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    Florent Baptist (2019). S&P 500 [Dataset]. https://www.kaggle.com/florentbaptist/sp-500/notebooks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 27, 2019
    Dataset provided by
    Kaggle
    Authors
    Florent Baptist
    Description

    This data-set has data spanning from 2013 till 2018. The S&P 500 stock market index, maintained by S&P Dow Jones Indices, comprises 505 common stocks issued by 500 large-cap companies and traded on American stock exchanges, and covers about 80 percent of the American equity market by capitalization. The index is weighted by free-float market capitalization, so more valuable companies account for relatively more of the index. The index constituents and the constituent weights are updated regularly using rules published by S&P Dow Jones Indices. Although the index is called the S&P "500", the index contains 505 stocks because it includes two share classes of stock from 5 of its component companies.

    The dataset comprises of all the S&P 500 components with the records created for each stock's open and closing rate spanning from last 5 years.

    yahoo finance

  10. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +7more
    csv, excel, json, xml
    Updated Oct 7, 2025
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    TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market??sa=u&ei=ffhqvnvmn5dloatmoocabw&ved=0cjmbebywfq&usg=afqjcngzbcc8p0owixmdsdjcu_endviwgg
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Oct 7, 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 - Oct 7, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, fell to 6723 points on October 7, 2025, losing 0.26% from the previous session. Over the past month, the index has climbed 3.50% and is up 16.89% 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 October of 2025.

  11. d

    Yacodata: S&P 500 Companies Data (up-to-date intelligence on US largest 500...

    • datarade.ai
    .csv
    Updated May 23, 2021
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    Yacodata (2021). Yacodata: S&P 500 Companies Data (up-to-date intelligence on US largest 500 companies) [Dataset]. https://datarade.ai/data-products/s-p500-companies-informations-up-to-date-yacodata
    Explore at:
    .csvAvailable download formats
    Dataset updated
    May 23, 2021
    Dataset authored and provided by
    Yacodata
    Area covered
    United States
    Description

    The dataset consists of companies listed in the S&P500, stock market index that measures the stock performance of 500 large companies listed on stock exchanges in the United State.

    The S&P 500 stock market index, maintained by S&P Dow Jones Indices, comprises 505 common stocks issued by 500 large-cap companies and traded on American stock exchanges (including the 30 companies that compose the Dow Jones Industrial Average)

    The S&P500 or SPX is the most commonly followed equity index, it covers about 80 percent of the American equity market by capitalization.

    The index constituents and the constituent weights are updated regularly using rules published by S&P Dow Jones Indices. Although called the S&P 500, the index contains 505 stocks

  12. m

    Robinhood Markets Inc - Other-Long-Term-Assets

    • macro-rankings.com
    csv, excel
    Updated Aug 15, 2025
    + more versions
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    macro-rankings (2025). Robinhood Markets Inc - Other-Long-Term-Assets [Dataset]. https://www.macro-rankings.com/Markets/Stocks/HOOD-NASDAQ/Balance-Sheet/Other-Long-Term-Assets
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Other-Long-Term-Assets Time Series for Robinhood Markets Inc. Robinhood Markets, Inc. operates financial services platform in the United States. Its platform allows users to invest in stocks, exchange-traded funds (ETFs), American depository receipts, options, gold, and cryptocurrencies. The company offers fractional trading, recurring investments, fully-paid securities lending, access to investing on margin, cash sweep, instant withdrawals, retirement program, around-the-clock trading, joint investing accounts, event contracts, and future contract services. It also provides various learning and education solutions comprise Snacks, an accessible digest of business news stories for a new generation of investors.; Learn, which is an online collection of guides, feature tutorials, and financial dictionary; Newsfeeds that offer access to free, premium news from sites from various sites, such as Barron's, Reuters, and Dow Jones. In addition, the company offers In-App Education, a resource that covers investing fundamentals, including why people invest, a stock market overview, and tips on how to define investing goals, as well as allows customers to understand the basics of investing before their first trade; and Crypto Learn and Earn, an educational module available to various crypto customers through Robinhood Learn to teach customers the basics related to cryptocurrency. Further, it provides Robinhood credit cards, cash card and spending accounts, and wallets. The company also owns and operates a digital currency marketplace that allows companies and individuals from all around the world to buy and sell bitcoin, litecoin, ethereum, ripple, and bitcoin cash. Robinhood Markets, Inc. was incorporated in 2013 and is headquartered in Menlo Park, California.

  13. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 8, 2025
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    TRADING ECONOMICS (2025). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Oct 8, 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 5, 1965 - Oct 8, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, rose to 47984 points on October 8, 2025, gaining 0.07% from the previous session. Over the past month, the index has climbed 10.41% and is up 22.17% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on October of 2025.

  14. m

    Wahed Dow Jones Islamic World ETF - Price Series

    • macro-rankings.com
    csv, excel
    Updated Dec 19, 2021
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    macro-rankings (2021). Wahed Dow Jones Islamic World ETF - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/UMMA-US
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Dec 19, 2021
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Index Time Series for Wahed Dow Jones Islamic World ETF. The frequency of the observation is daily. Moving average series are also typically included. The fund is an actively-managed exchange-traded fund ("ETF") that seeks to invests in equity securities of global companies (excluding U.S. domiciled companies) the characteristics of which meet the requirements of Shariah and are consistent with Islamic principles as interpreted by subject-matter experts (each, a "Shariah Compliant Company"). The adviser seeks to invest the fund"s assets in securities similar to the components of, and to achieve returns similar to those of, the Dow Jones Islamic Market International Titans 100 Index (the "Index"). The fund is non-diversified.

  15. T

    Italy Stock Market Index (IT40) Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Italy Stock Market Index (IT40) Data [Dataset]. https://tradingeconomics.com/italy/stock-market
    Explore at:
    xml, json, excel, csvAvailable 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 31, 1997 - Oct 8, 2025
    Area covered
    Italy
    Description

    Italy's main stock market index, the IT40, fell to 43039 points on October 8, 2025, losing 0.08% from the previous session. Over the past month, the index has climbed 2.45% and is up 26.83% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Italy. Italy Stock Market Index (IT40) - values, historical data, forecasts and news - updated on October of 2025.

  16. m

    News Corp A - Cash-and-Short-Term-Investments

    • macro-rankings.com
    csv, excel
    Updated Mar 20, 2025
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    macro-rankings (2025). News Corp A - Cash-and-Short-Term-Investments [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=NWSA.US&Item=Cash-and-Short-Term-Investments
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Cash-and-Short-Term-Investments Time Series for News Corp A. News Corporation, a media and information services company, creates and distributes authoritative and engaging content, and other products and services for consumers and businesses. It operates through five segments: Digital Real Estate Services, Dow Jones, Book Publishing, News Media, and Other. The company distributes content and data products through various media channels, such as newspapers, newswires, websites, mobile apps, newsletters, magazines, proprietary databases, live journalism, video, and podcasts under the MarketWatch, The Wall Street Journal, Barron's, Investor's Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, and Dow Jones Energy brands. It also owns and operates Monday to Friday, Saturday and Sunday, weekly, and bi-weekly newspapers comprising The Australian, The Weekend Australian, The Daily Telegraph, The Sunday Telegraph, Herald Sun, Sunday Herald Sun, The Courier Mail, The Sunday Mail, The Advertiser, Sunday Mail, The Sun, The Sun on Sunday, The Times, The Sunday Times, and New York Post, as well as digital mastheads and other websites. In addition, the company publishes general fiction, nonfiction, children's, and religious books; and operates Storyful, a social media content agency, as well as sports radio network and news channels. Further, it offers property and property-related advertising and services on its websites and mobile applications; digital real estate services; and financial services. The company has operations in the United States, Canada, Europe, Australasia, and internationally. News Corporation was incorporated in 2012 and is headquartered in New York, New York.

  17. Short/Long Term Stocks: Dow Jones New Zealand Index Stock Forecast...

    • kappasignal.com
    Updated Oct 21, 2022
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    KappaSignal (2022). Short/Long Term Stocks: Dow Jones New Zealand Index Stock Forecast (Forecast) [Dataset]. https://www.kappasignal.com/2022/10/shortlong-term-stocks-dow-jones-new.html
    Explore at:
    Dataset updated
    Oct 21, 2022
    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.

    Short/Long Term Stocks: Dow Jones New Zealand Index Stock Forecast

    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

  18. m

    News Corp A - Net-Income-Dividend-Coverage

    • macro-rankings.com
    csv, excel
    Updated Mar 20, 2025
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    macro-rankings (2025). News Corp A - Net-Income-Dividend-Coverage [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=NWSA.US&Item=Net-Income-Dividend-Coverage
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Net-Income-Dividend-Coverage Time Series for News Corp A. News Corporation, a media and information services company, creates and distributes authoritative and engaging content, and other products and services for consumers and businesses. It operates through five segments: Digital Real Estate Services, Dow Jones, Book Publishing, News Media, and Other. The company distributes content and data products through various media channels, such as newspapers, newswires, websites, mobile apps, newsletters, magazines, proprietary databases, live journalism, video, and podcasts under the MarketWatch, The Wall Street Journal, Barron's, Investor's Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, and Dow Jones Energy brands. It also owns and operates Monday to Friday, Saturday and Sunday, weekly, and bi-weekly newspapers comprising The Australian, The Weekend Australian, The Daily Telegraph, The Sunday Telegraph, Herald Sun, Sunday Herald Sun, The Courier Mail, The Sunday Mail, The Advertiser, Sunday Mail, The Sun, The Sun on Sunday, The Times, The Sunday Times, and New York Post, as well as digital mastheads and other websites. In addition, the company publishes general fiction, nonfiction, children's, and religious books; and operates Storyful, a social media content agency, as well as sports radio network and news channels. Further, it offers property and property-related advertising and services on its websites and mobile applications; digital real estate services; and financial services. The company has operations in the United States, Canada, Europe, Australasia, and internationally. News Corporation was incorporated in 2012 and is headquartered in New York, New York.

  19. f

    Association between Stock Market Gains and Losses and Google Searches

    • figshare.com
    • datadryad.org
    doc
    Updated Jun 4, 2023
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    Eli Arditi; Eldad Yechiam; Gal Zahavi (2023). Association between Stock Market Gains and Losses and Google Searches [Dataset]. http://doi.org/10.1371/journal.pone.0141354
    Explore at:
    docAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Eli Arditi; Eldad Yechiam; Gal Zahavi
    License

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

    Description

    Experimental studies in the area of Psychology and Behavioral Economics have suggested that people change their search pattern in response to positive and negative events. Using Internet search data provided by Google, we investigated the relationship between stock-specific events and related Google searches. We studied daily data from 13 stocks from the Dow-Jones and NASDAQ100 indices, over a period of 4 trading years. Focusing on periods in which stocks were extensively searched (Intensive Search Periods), we found a correlation between the magnitude of stock returns at the beginning of the period and the volume, peak, and duration of search generated during the period. This relation between magnitudes of stock returns and subsequent searches was considerably magnified in periods following negative stock returns. Yet, we did not find that intensive search periods following losses were associated with more Google searches than periods following gains. Thus, rather than increasing search, losses improved the fit between people’s search behavior and the extent of real-world events triggering the search. The findings demonstrate the robustness of the attentional effect of losses.

  20. m

    News Corp B - Total-Current-Liabilities

    • macro-rankings.com
    csv, excel
    Updated Jul 23, 2025
    + more versions
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    macro-rankings (2025). News Corp B - Total-Current-Liabilities [Dataset]. https://www.macro-rankings.com/Markets/Stocks?Entity=NWS.US&Item=Total-Current-Liabilities
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Total-Current-Liabilities Time Series for News Corp B. News Corporation, a media and information services company, creates and distributes authoritative and engaging content, and other products and services for consumers and businesses. It operates through five segments: Digital Real Estate Services, Dow Jones, Book Publishing, News Media, and Other. The company distributes content and data products through various media channels, such as newspapers, newswires, websites, mobile apps, newsletters, magazines, proprietary databases, live journalism, video, and podcasts under the MarketWatch, The Wall Street Journal, Barron's, Investor's Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, and Dow Jones Energy brands. It also owns and operates Monday to Friday, Saturday and Sunday, weekly, and bi-weekly newspapers comprising The Australian, The Weekend Australian, The Daily Telegraph, The Sunday Telegraph, Herald Sun, Sunday Herald Sun, The Courier Mail, The Sunday Mail, The Advertiser, Sunday Mail, The Sun, The Sun on Sunday, The Times, The Sunday Times, and New York Post, as well as digital mastheads and other websites. In addition, the company publishes general fiction, nonfiction, children's, and religious books; and operates Storyful, a social media content agency, as well as sports radio network and news channels. Further, it offers property and property-related advertising and services on its websites and mobile applications; digital real estate services; and financial services. The company has operations in the United States, Canada, Europe, Australasia, and internationally. News Corporation was incorporated in 2012 and is headquartered in New York, New York.

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hugequiz.com (2021). Historical Components Of The Dow Jones (DJIA) [Dataset]. https://www.kaggle.com/darinhawley/historical-components-of-the-dow-jones-djia/discussion
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Historical Components Of The Dow Jones (DJIA)

The current and former components of the Dow Jones Industrial Average

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Nov 10, 2021
Dataset provided by
Kagglehttp://kaggle.com/
Authors
hugequiz.com
License

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

Description

The Dow Jones Industrial Average began as 12 companies on May 5, 1896 and currently contains 30 component companies. Over the years, companies have been added and replaced. This is a complete listing of current and former component companies.

This data was compiled to create this quiz: https://hugequiz.com/quizzes/historical-components-of-the-dow-jones-djia/

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