11 datasets found
  1. Dow Jones Industrial Average Dataset

    • kaggle.com
    Updated Jan 25, 2021
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    Baligh Mnassri (2021). Dow Jones Industrial Average Dataset [Dataset]. https://www.kaggle.com/datasets/mnassrib/dow-jones-industrial-average
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 25, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Baligh Mnassri
    License

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

    Description

    Context

    The Dow Jones Industrial Average is one of the most followed stock market indexes by investors, financial professionals and the media.

    Content

    It measures the daily price movements of 30 large American companies on the Nasdaq and the New York Stock Exchange. The Dow Jones Industrial Average is widely viewed as a proxy for general market conditions and even the economy of the United States.

    This Dow Jones Industrial Average dataset is downloaded from https://www.investing.com/indices/us-30-historical-data, including 2767 closing records from January 4th 2009 to December 31st 2019.

  2. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Dow Jones Industrial Average [Dataset]. https://fred.stlouisfed.org/series/DJIA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 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 2015-07-06 to 2025-07-03 about stock market, average, industry, and USA.

  3. h

    Dow30_stock_prediction

    • huggingface.co
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    Lei Z, Dow30_stock_prediction [Dataset]. https://huggingface.co/datasets/descartes100/Dow30_stock_prediction
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Lei Z
    Description

    Dow30 Stock Prediction Dataset

      Overview
    

    Welcome to the Dow30 Stock Prediction dataset! This dataset is designed to assist in predicting stock returns for companies in the Dow Jones Industrial Average (Dow30). It includes essential information about each company, such as news from the last two weeks, basic financial data, and stock prices over the same period.

      Dataset Structure
    

    The dataset consists of the following columns:

    prompt: Information about the company… See the full description on the dataset page: https://huggingface.co/datasets/descartes100/Dow30_stock_prediction.

  4. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 3, 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 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. 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
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    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.

  6. 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.

  7. d

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

    • datarade.ai
    .csv
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    Yacodata, 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 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

  8. Comprehensive XBRL Financial Dataset of Dow Jones Industrial Average (DJ30)...

    • zenodo.org
    bin, csv
    Updated Apr 4, 2025
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    Alberto Paramio Galisteo; Gonzalo Martínez Carreras; Alberto Paramio Galisteo; Gonzalo Martínez Carreras (2025). Comprehensive XBRL Financial Dataset of Dow Jones Industrial Average (DJ30) Companies Registered with the SEC [Dataset]. http://doi.org/10.5281/zenodo.15151189
    Explore at:
    csv, binAvailable download formats
    Dataset updated
    Apr 4, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Alberto Paramio Galisteo; Gonzalo Martínez Carreras; Alberto Paramio Galisteo; Gonzalo Martínez Carreras
    License

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

    Description

    Este conjunto de datos contiene información financiera extraída de los informes 10-K presentados por las empresas que conforman el Dow Jones Industrial Average (DJ30) ante la Securities and Exchange Commission (SEC) de EE.UU. La información abarca métricas clave de desempeño financiero, tales como activos, pasivos, ingresos, gastos operativos, beneficios por acción, flujo de caja y otros indicadores contables y fiscales.

    Cada fila del dataset representa un informe financiero correspondiente a una empresa del DJ30 en un período fiscal determinado. Incluye detalles como el símbolo bursátil, el nombre de la empresa, el estado de incorporación, y si es un emisor frecuente de informes ante la SEC.

    Este conjunto de datos permite realizar análisis financieros, comparaciones de desempeño entre las principales empresas del índice Dow Jones, evaluación de tendencias del mercado y construcción de modelos predictivos para estrategias de inversión.

  9. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Russia Stock Market Index MOEX CFD Data [Dataset]. https://tradingeconomics.com/russia/stock-market
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    json, csv, excel, xmlAvailable 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
    Sep 22, 1997 - Jul 4, 2025
    Area covered
    Russia
    Description

    Russia's main stock market index, the MOEX, fell to 2802 points on July 4, 2025, losing 0.75% from the previous session. Over the past month, the index has declined 1.91% and is down 11.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on July of 2025.

  10. O

    Online Database Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 16, 2025
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    Data Insights Market (2025). Online Database Report [Dataset]. https://www.datainsightsmarket.com/reports/online-database-1460818
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The online database market is experiencing robust growth, driven by the increasing need for readily accessible, structured information across various sectors. The market's expansion is fueled by several key factors. Firstly, the digital transformation sweeping industries necessitates efficient data management and analysis, making online databases an indispensable tool. Secondly, the rise of big data and the corresponding need for sophisticated analytical capabilities are bolstering demand. Thirdly, advancements in cloud computing and data storage technologies are lowering the barriers to entry and making online databases more scalable and cost-effective. The market is segmented by various types of databases (relational, NoSQL, etc.), deployment models (cloud, on-premise), and end-user industries (healthcare, finance, etc.). While the precise market size for 2025 is unavailable, considering a typical CAGR (Compound Annual Growth Rate) of around 15% in the technology sector and the listed companies' activities, a reasonable estimate would place the 2025 market value in the range of $700-$800 million. This growth is expected to continue through 2033, although challenges such as data security concerns and the complexity of database management may act as restraints. The competitive landscape is marked by a mix of established players like Dow Jones and General Electric, and smaller, specialized firms focusing on niche markets. Companies are focusing on innovation, incorporating AI and machine learning capabilities into their database offerings, and expanding their cloud-based solutions. Geographic growth will likely be strongest in regions with developing digital infrastructure and a growing need for data-driven decision-making. The future trajectory of the online database market appears highly promising, propelled by continuous technological advancement and the insatiable appetite for data analysis across numerous industries. Strategies for market participants will center on leveraging advanced technologies, providing robust data security, and catering to the specific needs of individual industry segments. Companies with a strong focus on customer support and a user-friendly interface are poised to capture larger market shares.

  11. f

    Tickers and company full name of DJIA component stocks on June 8, 2009.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Xiangyu Cui; Xuan Zhang (2023). Tickers and company full name of DJIA component stocks on June 8, 2009. [Dataset]. http://doi.org/10.1371/journal.pone.0249665.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xiangyu Cui; Xuan Zhang
    License

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

    Description

    Tickers and company full name of DJIA component stocks on June 8, 2009.

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    Learn how you can add new datasets to our index.

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Baligh Mnassri (2021). Dow Jones Industrial Average Dataset [Dataset]. https://www.kaggle.com/datasets/mnassrib/dow-jones-industrial-average
Organization logo

Dow Jones Industrial Average Dataset

Time series price movements dataset

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jan 25, 2021
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Baligh Mnassri
License

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

Description

Context

The Dow Jones Industrial Average is one of the most followed stock market indexes by investors, financial professionals and the media.

Content

It measures the daily price movements of 30 large American companies on the Nasdaq and the New York Stock Exchange. The Dow Jones Industrial Average is widely viewed as a proxy for general market conditions and even the economy of the United States.

This Dow Jones Industrial Average dataset is downloaded from https://www.investing.com/indices/us-30-historical-data, including 2767 closing records from January 4th 2009 to December 31st 2019.

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