20 datasets found
  1. Dow Jones 30 Indices at 1-minute resolution

    • kaggle.com
    Updated Apr 1, 2022
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    SJ (2022). Dow Jones 30 Indices at 1-minute resolution [Dataset]. https://www.kaggle.com/datasets/surajjha101/dow-jones-30-index-at-1minute-resolution
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 1, 2022
    Dataset provided by
    Kaggle
    Authors
    SJ
    License

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

    Description

    Context

    Dow Jones 30 is a price-weighted measurement stock market index of 30 prominent companies listed on stock exchanges in the United States. It is one of the most concise Indices as compared to other comprehensive ones such as NASDAQ or S&P 500.

    The value index can be sum of the stock prices of the companies included in the index, divided by a factor which is currently approximately 0.152. The factor is changed whenever a constituent company undergoes a stock split so that the value of the index is unaffected by the stock split.

    Content

    In the dataset, You'll find stock prices of 16 major companies which are listed in DOW JONES 30 Index before Apr 1, 1999 (Obviously there are 14 others which they've replaced others over time and were added in the index after the said date)

    Date: Simply the data in m/d/yyyy format (which works in the US)

    MMM to Walt Disney: Average stock price of the day of the corresponding companies

    DJIA: "Dow Jones Industrial Average" which can be said the target column of the dataset. It is the pool in which all the 30 stocks have their influence. Target can be seen as how much impact each and every stock lays on the pool.

    Acknowledgement

    The data is obtained from the Moneycontrol website.

    Inspiration

    Predicting the influence of major stocks on one of the most weight carrying indices of the world.

  2. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Aug 29, 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
    Aug 29, 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 2015-08-31 to 2025-08-29 about stock market, average, industry, and USA.

  3. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, 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
    Jan 3, 1928 - Sep 1, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6464 points on September 1, 2025, gaining 0.06% from the previous session. Over the past month, the index has climbed 2.13% and is up 16.92% 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 September of 2025.

  4. 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

  5. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Aug 29, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 29, 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.

  6. m

    Robinhood Markets Inc - Cash-and-Equivalents

    • macro-rankings.com
    csv, excel
    Updated Jul 30, 2025
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    macro-rankings (2025). Robinhood Markets Inc - Cash-and-Equivalents [Dataset]. https://www.macro-rankings.com/markets/stocks/hood-nasdaq/balance-sheet/cash-and-equivalents
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Jul 30, 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-Equivalents 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.

  7. 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.

  8. End-of-Day Price Dominican Republic Techsalerator

    • kaggle.com
    Updated Aug 23, 2023
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    Techsalerator (2023). End-of-Day Price Dominican Republic Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-price-dominican-republic-techsalerator
    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
    Dominican Republic
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 14 companies listed on the Dominican Republic Stock Exchange (XBVR) in Dominican Republic. 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 Dominican Republic:

    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 Dominican Republic:

    Dow Jones Dominican Republic Index: The Dow Jones Dominican Republic Index represents the performance of companies listed on the Dominican Republic Stock Exchange (Bolsa de Valores de la República Dominicana). It serves as a benchmark for tracking the overall market performance in the country.

    Banco Popular Dominicano: Banco Popular Dominicano is one of the largest banks in the Dominican Republic, offering a range of banking and financial services to individuals and businesses. The securities of Banco Popular Dominicano are actively traded on the Dominican Republic Stock Exchange.

    Grupo Financiero BHD León: Grupo Financiero BHD León is a financial group that operates in the Dominican Republic, providing banking, insurance, and financial services. The securities of Grupo Financiero BHD León are listed and traded on the Dominican Republic Stock Exchange.

    Banco de Reservas de la República Dominicana: Banco de Reservas, also known as Banreservas, is the state-owned bank of the Dominican Republic. It offers a wide range of banking and financial services to customers. The securities of Banreservas are listed on the Dominican Republic Stock Exchange.

    Altice Dominicana: Altice Dominicana is a subsidiary of Altice Group, a multinational telecommunications company. Altice Dominicana provides telecommunication services in the Dominican Republic. The securities of Altice Dominicana are listed and traded on the Dominican Republic Stock Exchange.

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Dominican Republic, 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 Dominican Republic ?

    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 Dominican Republic?

    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 Dominican Republic 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...
  9. s

    Jena Organization Corpus (JOCo)

    • marketplace.sshopencloud.eu
    Updated Apr 24, 2020
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    (2020). Jena Organization Corpus (JOCo) [Dataset]. https://marketplace.sshopencloud.eu/dataset/TTchK9
    Explore at:
    Dataset updated
    Apr 24, 2020
    Area covered
    Johnston County
    Description

    JOCo is a corpus of annual reports (ARs) and corporate social responsibility (CSR) reports of US American, British and German business organizations, i.e. corporations, which are listed in the main indices such as DOW JONES, S&P 500, and NASDAQ 100 for the USA; FTSE, FTSE AIM 100, FTSE 250 for Great Britain; DAX, MDAX, and TecDAX for Germany. All reports are in English: the German corporations provide reports in English for their international audiences as well.

  10. D

    Communication strategies in letters to shareholders

    • danebadawcze.uw.edu.pl
    zip
    Updated Jul 15, 2024
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    Wasilewska, Katarzyna; Kocia, Agata; Tworzydło, Dariusz (2024). Communication strategies in letters to shareholders [Dataset]. http://doi.org/10.58132/FN19SR
    Explore at:
    zip(243569), zip(1545933)Available download formats
    Dataset updated
    Jul 15, 2024
    Dataset provided by
    Dane Badawcze UW
    Authors
    Wasilewska, Katarzyna; Kocia, Agata; Tworzydło, Dariusz
    License

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

    Dataset funded by
    University of Warsaw
    Description

    Letters to shareholders are an important element of annual reports characterized by a lack of legal formalism. As a result, companies often use these documents as a channel for relatively free communication with investors. Letters often serve to create the company's image, interpreting the reality captured in the hard data presented in financial statements. The purpose of this study is to analyze the impact of a company's financial performance on communication strategies in letters to shareholders. The study includes an analysis of letters from British, American and Polish companies - in the case of the latter, two language versions: Polish and English.The dataset includes:a genre-based comparable-parallel corpus, which includes a parallel sub-corpus of letters to shareholders of ten Polish companies and two comparable sub-corpora containing letters to shareholders of ten UK and ten US companies. The companies were selected randomly from the list of enterprises included in the major indices of the respective markets: WIG30 in Poland, FTSE100 (Financial Times Stock Exchange 100 Index) in the UK and the Dow Jones Composite Average (covering 65 constituents) in the US. The letters were drafted from 2013 to 2022, i.e. for every company ten letters were collected. Companies which have been operating for less than ten years were excluded from the study. The Polish subcorpus includes letters that were drafted in Polish and translated into English – letters that did not have the English translation of their letter or have drafted their letter in English were excluded from the study;a folder containing spreadsheets with: 1) the list of the companies with basic identifying information; 2) financial data used in the study; 3a) number of tokens per text in the corpora; 3b) number of words and tokens in the corpora used in the study; 4) raw frequencies of expressions analysed; 5) normalised frequencies of expressions analysed; 6) results of the correlation between financial indicators and linguistic data.

  11. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS (2019). 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 - Sep 1, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3876 points on September 1, 2025, gaining 0.46% from the previous session. Over the past month, the index has climbed 8.16% and is up 37.87% 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 September of 2025.

  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. Top Tech Companies Stock Price

    • kaggle.com
    Updated Nov 24, 2020
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    Tomas Mantero (2020). Top Tech Companies Stock Price [Dataset]. https://www.kaggle.com/tomasmantero/top-tech-companies-stock-price/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 24, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Tomas Mantero
    License

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

    Description

    Context

    In this dataset you can find the Top 100 companies in the technology sector. You can also find 5 of the most important and used indices in the financial market as well as a list of all the companies in the S&P 500 index and in the technology sector.

    The Global Industry Classification Standard also known as GICS is the primary financial industry standard for defining sector classifications. The Global Industry Classification Standard was developed by index providers MSCI and Standard and Poor’s. Its hierarchy begins with 11 sectors which can be further delineated to 24 industry groups, 69 industries, and 158 sub-industries.

    You can read the definition of each sector here.

    The 11 broad GICS sectors commonly used for sector breakdown reporting include the following: Energy, Materials, Industrials, Consumer Discretionary, Consumer Staples, Health Care, Financials, Information Technology, Telecommunication Services, Utilities and Real Estate.

    In this case we will focuse in the Technology Sector. You can see all the sectors and industry groups here.

    To determine which companies, correspond to the technology sector, we use Yahoo Finance, where we rank the companies according to their “Market Cap”. After having the list of the Top 100 best valued companies in the sector, we proceeded to download the historical data of each of the companies using the NASDAQ website.

    Regarding to the indices, we searched various sources to find out which were the most used and determined that the 5 most frequently used indices are: Dow Jones Industrial Average (DJI), S&P 500 (SPX), NASDAQ Composite (IXIC), Wilshire 5000 Total Market Inde (W5000) and to specifically view the technology sector SPDR Select Sector Fund - Technology (XLK). Historical data for these indices was also obtained from the NASDQ website.

    Content

    In total there are 107 files in csv format. They are composed as follows:

    • 100 files contain the historical data of tech companies.
    • 5 files contain the historical data of the most used indices.
    • 1 file contain the list of all the companies in the S&P 500 index.
    • 1 file contain the list of all the companies in the technology sector.

    Column Description

    Every company and index file has the same structure with the same columns:

    Date: It is the date on which the prices were recorded. High: Is the highest price at which a stock traded during the course of the trading day. Low: Is the lowest price at which a stock traded during the course of the trading day. Open: Is the price at which a stock started trading when the opening bell rang. Close: Is the last price at which a stock trades during a regular trading session. Volume: Is the number of shares that changed hands during a given day. Adj Close: The adjusted closing price factors in corporate actions, such as stock splits, dividends, and rights offerings.

    The two other files have different columns names:

    List of S&P 500 companies

    Symbol: Ticker symbol of the company. Name: Name of the company. Sector: The sector to which the company belongs.

    Technology Sector Companies List

    Symbol: Ticker symbol of the company. Name: Name of the company. Price: Current price at which a stock can be purchased or sold. (11/24/20) Change: Net change is the difference between closing prices from one day to the next. % Change: Is the difference between closing prices from one day to the next in percentage. Volume: Is the number of shares that changed hands during a given day. Avg Vol: Is the daily average of the cumulative trading volume during the last three months. Market Cap (Billions): Is the total value of a company’s shares outstanding at a given moment in time. It is calculated by multiplying the number of shares outstanding by the price of a single share. PE Ratio: Is the ratio of a company's share (stock) price to the company's earnings per share. The ratio is used for valuing companies and to find out whether they are overvalued or undervalued.

    Acknowledgements

    SEC EDGAR | Company Filings NASDAQ | Historical Quotes Yahoo Finance | Technology Sector Wikipedia | List of S&P 500 companies S&P Dow Jones Indices | S&P 500 [S&P Dow Jones Indices | DJI](https://www.spglobal.com/spdji/en/i...

  14. 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
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    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.

  15. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). Russia Stock Market Index MOEX CFD Data [Dataset]. https://tradingeconomics.com/russia/stock-market
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Jul 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
    Sep 22, 1997 - Sep 1, 2025
    Area covered
    Russia
    Description

    Russia's main stock market index, the MOEX, rose to 2911 points on September 1, 2025, gaining 0.40% from the previous session. Over the past month, the index has climbed 4.94% and is up 14.29% 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 September of 2025.

  16. m

    News Corp B - Other-Current-Liabilities

    • macro-rankings.com
    csv, excel
    Updated Jul 25, 2025
    + more versions
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    macro-rankings (2025). News Corp B - Other-Current-Liabilities [Dataset]. https://www.macro-rankings.com/markets/stocks/nws-nasdaq/balance-sheet/other-current-liabilities
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    excel, csvAvailable download formats
    Dataset updated
    Jul 25, 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-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.

  17. m

    News Corp B - Diluted-EPS

    • macro-rankings.com
    csv, excel
    Updated Aug 24, 2025
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    macro-rankings (2025). News Corp B - Diluted-EPS [Dataset]. https://www.macro-rankings.com/markets/stocks/nws-nasdaq/income-statement/diluted-eps
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    excel, csvAvailable download formats
    Dataset updated
    Aug 24, 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

    Diluted-EPS 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.

  18. m

    Castellum AB - Cash-and-Equivalents

    • macro-rankings.com
    csv, excel
    Updated Aug 10, 2025
    + more versions
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    macro-rankings (2025). Castellum AB - Cash-and-Equivalents [Dataset]. https://www.macro-rankings.com/Markets/Stocks/CAST-ST/Balance-Sheet/Cash-and-Equivalents
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 10, 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
    sweden
    Description

    Cash-and-Equivalents Time Series for Castellum AB. Castellum is one of the Nordic region's largest commercial real estate companies, focusing on office and logistics properties in Nordic growth cities. As of June 30, 2025, the property value was approximately SEK 159 billion, including the holdings in Norwegian Entra ASA and Halvorsäng. The company is listed on Nasdaq Stockholm Large Cap and classified as green according to the Green Equity Designation. Castellum is the only Nordic real estate company in the Dow Jones Sustainability Index (DJSI).

  19. m

    Cboe Global Markets Inc - Diluted-Average-Shares

    • macro-rankings.com
    csv, excel
    Updated Aug 9, 2025
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    macro-rankings (2025). Cboe Global Markets Inc - Diluted-Average-Shares [Dataset]. https://www.macro-rankings.com/Markets/Stocks/CBOE-CBOE/Income-Statement/Diluted-Average-Shares
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 9, 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

    Diluted-Average-Shares Time Series for Cboe Global Markets Inc. Cboe Global Markets, Inc., through its subsidiaries, operates as an options exchange in the United States and internationally. It operates through six segments: Options, North American Equities, Europe and Asia Pacific, Futures, Global FX, and Digital. The Options segment trades in listed market indices. Its North American Equities segment trades in listed U.S. and Canadian equities. This segment also offers exchange-traded products (ETP) transaction and listing services. The Europe and Asia Pacific segment provides pan-European listed equities and derivatives transaction services, ETPs, exchange-traded commodities, and international depository receipts, as well as ETP listings and clearing services. Its Futures segment offers and trades in futures and other related products. The Global FX segment provides institutional foreign exchange (FX) trading and non-deliverable forward FX transactions services. Its Digital segment offers Cboe Digital, an operator of the United States based digital asset spot market and a regulated futures exchange; Cboe Clear Digital, a regulated clearinghouse; licensing of proprietary market data; and access and capacity services. It has strategic relationships with S&P Dow Jones Indices, LLC; Frank Russell Company; FTSE International Limited; and MSCI Inc. The company was formerly known as CBOE Holdings, Inc. and changed its name to Cboe Global Markets, Inc. in October 2017. Cboe Global Markets, Inc. was founded in 1973 and is headquartered in Chicago, Illinois.

  20. m

    Cboe Global Markets Inc - Dividend-Per-Share

    • macro-rankings.com
    csv, excel
    Updated Aug 16, 2025
    + more versions
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    macro-rankings (2025). Cboe Global Markets Inc - Dividend-Per-Share [Dataset]. https://www.macro-rankings.com/Markets/Stocks/CBOE-CBOE/Key-Financial-Ratios/Dividends_and_More/Dividend-Per-Share
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Aug 16, 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

    Dividend-Per-Share Time Series for Cboe Global Markets Inc. Cboe Global Markets, Inc., through its subsidiaries, operates as an options exchange in the United States and internationally. It operates through six segments: Options, North American Equities, Europe and Asia Pacific, Futures, Global FX, and Digital. The Options segment trades in listed market indices. Its North American Equities segment trades in listed U.S. and Canadian equities. This segment also offers exchange-traded products (ETP) transaction and listing services. The Europe and Asia Pacific segment provides pan-European listed equities and derivatives transaction services, ETPs, exchange-traded commodities, and international depository receipts, as well as ETP listings and clearing services. Its Futures segment offers and trades in futures and other related products. The Global FX segment provides institutional foreign exchange (FX) trading and non-deliverable forward FX transactions services. Its Digital segment offers Cboe Digital, an operator of the United States based digital asset spot market and a regulated futures exchange; Cboe Clear Digital, a regulated clearinghouse; licensing of proprietary market data; and access and capacity services. It has strategic relationships with S&P Dow Jones Indices, LLC; Frank Russell Company; FTSE International Limited; and MSCI Inc. The company was formerly known as CBOE Holdings, Inc. and changed its name to Cboe Global Markets, Inc. in October 2017. Cboe Global Markets, Inc. was founded in 1973 and is headquartered in Chicago, Illinois.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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SJ (2022). Dow Jones 30 Indices at 1-minute resolution [Dataset]. https://www.kaggle.com/datasets/surajjha101/dow-jones-30-index-at-1minute-resolution
Organization logo

Dow Jones 30 Indices at 1-minute resolution

Daily level historical dataset of major Dow Jones 30 indices

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Apr 1, 2022
Dataset provided by
Kaggle
Authors
SJ
License

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

Description

Context

Dow Jones 30 is a price-weighted measurement stock market index of 30 prominent companies listed on stock exchanges in the United States. It is one of the most concise Indices as compared to other comprehensive ones such as NASDAQ or S&P 500.

The value index can be sum of the stock prices of the companies included in the index, divided by a factor which is currently approximately 0.152. The factor is changed whenever a constituent company undergoes a stock split so that the value of the index is unaffected by the stock split.

Content

In the dataset, You'll find stock prices of 16 major companies which are listed in DOW JONES 30 Index before Apr 1, 1999 (Obviously there are 14 others which they've replaced others over time and were added in the index after the said date)

Date: Simply the data in m/d/yyyy format (which works in the US)

MMM to Walt Disney: Average stock price of the day of the corresponding companies

DJIA: "Dow Jones Industrial Average" which can be said the target column of the dataset. It is the pool in which all the 30 stocks have their influence. Target can be seen as how much impact each and every stock lays on the pool.

Acknowledgement

The data is obtained from the Moneycontrol website.

Inspiration

Predicting the influence of major stocks on one of the most weight carrying indices of the world.

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