31 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. EOD data for all Dow Jones stocks

    • kaggle.com
    zip
    Updated Jun 12, 2019
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    Timo Bozsolik (2019). EOD data for all Dow Jones stocks [Dataset]. https://www.kaggle.com/datasets/timoboz/stock-data-dow-jones
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    zip(1697460 bytes)Available download formats
    Dataset updated
    Jun 12, 2019
    Authors
    Timo Bozsolik
    Description

    Update

    Unfortunately, the API this dataset used to pull the stock data isn't free anymore. Instead of having this auto-updating, I dropped the last version of the data files in here, so at least the historic data is still usable.

    Content

    This dataset provides free end of day data for all stocks currently in the Dow Jones Industrial Average. For each of the 30 components of the index, there is one CSV file named by the stock's symbol (e.g. AAPL for Apple). Each file provides historically adjusted market-wide data (daily, max. 5 years back). See here for description of the columns: https://iextrading.com/developer/docs/#chart

    Since this dataset uses remote URLs as files, it is automatically updated daily by the Kaggle platform and automatically represents the latest data.

    Acknowledgements

    List of stocks and symbols as per https://en.wikipedia.org/wiki/Dow_Jones_Industrial_Average

    Thanks to https://iextrading.com for providing this data for free!

    Terms of Use

    Data provided for free by IEX. View IEX’s Terms of Use.

  3. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +11more
    csv, excel, json, xml
    Updated May 15, 2025
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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 updated
    May 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 1, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6211 points on July 1, 2025, gaining 0.10% from the previous session. Over the past month, the index has climbed 4.64% and is up 12.75% 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.

  4. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Jun 30, 2025
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    (2025). Dow Jones Industrial Average [Dataset]. https://fred.stlouisfed.org/series/DJIA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 30, 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 2015-07-01 to 2025-06-30 about stock market, average, industry, and USA.

  5. Stock Portfolio Data with Prices and Indices

    • kaggle.com
    Updated Mar 23, 2025
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    Nikita Manaenkov (2025). Stock Portfolio Data with Prices and Indices [Dataset]. http://doi.org/10.34740/kaggle/dsv/11140976
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 23, 2025
    Dataset provided by
    Kaggle
    Authors
    Nikita Manaenkov
    License

    https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html

    Description

    This dataset consists of five CSV files that provide detailed data on a stock portfolio and related market performance over the last 5 years. It includes portfolio positions, stock prices, and major U.S. market indices (NASDAQ, S&P 500, and Dow Jones). The data is essential for conducting portfolio analysis, financial modeling, and performance tracking.

    1. Portfolio

    This file contains the portfolio composition with details about individual stock positions, including the quantity of shares, sector, and their respective weights in the portfolio. The data also includes the stock's closing price.

    • Columns:
      • Ticker: The stock symbol (e.g., AAPL, TSLA)
      • Quantity: The number of shares in the portfolio
      • Sector: The sector the stock belongs to (e.g., Technology, Healthcare)
      • Close: The closing price of the stock
      • Weight: The weight of the stock in the portfolio (as a percentage of total portfolio)

    2. Portfolio Prices

    This file contains historical pricing data for the stocks in the portfolio. It includes daily open, high, low, close prices, adjusted close prices, returns, and volume of traded stocks.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol
      • Open: The opening price of the stock on that day
      • High: The highest price reached on that day
      • Low: The lowest price reached on that day
      • Close: The closing price of the stock
      • Adjusted: The adjusted closing price after stock splits and dividends
      • Returns: Daily percentage return based on close prices
      • Volume: The volume of shares traded that day

    3. NASDAQ

    This file contains historical pricing data for the NASDAQ Composite index, providing similar data as in the Portfolio Prices file, but for the NASDAQ market index.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol (for NASDAQ index, this will be "IXIC")
      • Open: The opening price of the index
      • High: The highest value reached on that day
      • Low: The lowest value reached on that day
      • Close: The closing value of the index
      • Adjusted: The adjusted closing value after any corporate actions
      • Returns: Daily percentage return based on close values
      • Volume: The volume of shares traded

    4. S&P 500

    This file contains similar historical pricing data, but for the S&P 500 index, providing insights into the performance of the top 500 U.S. companies.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol (for S&P 500 index, this will be "SPX")
      • Open: The opening price of the index
      • High: The highest value reached on that day
      • Low: The lowest value reached on that day
      • Close: The closing value of the index
      • Adjusted: The adjusted closing value after any corporate actions
      • Returns: Daily percentage return based on close values
      • Volume: The volume of shares traded

    5. Dow Jones

    This file contains similar historical pricing data for the Dow Jones Industrial Average, providing insights into one of the most widely followed stock market indices in the world.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol (for Dow Jones index, this will be "DJI")
      • Open: The opening price of the index
      • High: The highest value reached on that day
      • Low: The lowest value reached on that day
      • Close: The closing value of the index
      • Adjusted: The adjusted closing value after any corporate actions
      • Returns: Daily percentage return based on close values
      • Volume: The volume of shares traded

    Personal Portfolio Data

    This data is received using a custom framework that fetches real-time and historical stock data from Yahoo Finance. It provides the portfolio’s data based on user-specific stock holdings and performance, allowing for personalized analysis. The personal framework ensures the portfolio data is automatically retrieved and updated with the latest stock prices, returns, and performance metrics.

    This part of the dataset would typically involve data specific to a particular user’s stock positions, weights, and performance, which can be integrated with the other files for portfolio performance analysis.

  6. 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.

  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. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jun 30, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 30, 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.

  9. 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.

  10. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 28, 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
    Jun 28, 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 - Jun 27, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, rose to 40151 points on June 27, 2025, gaining 1.43% from the previous session. Over the past month, the index has climbed 6.44% and is up 1.43% 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 June 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. T

    Indonesia Stock Market (JCI) Data

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS, Indonesia Stock Market (JCI) Data [Dataset]. https://tradingeconomics.com/indonesia/stock-market
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Mar 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
    Apr 6, 1990 - Jul 1, 2025
    Area covered
    Indonesia
    Description

    Indonesia's main stock market index, the JCI, fell to 6903 points on July 1, 2025, losing 0.36% from the previous session. Over the past month, the index has declined 2.30% and is down 3.12% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Indonesia. Indonesia Stock Market (JCI) - values, historical data, forecasts and news - updated on July of 2025.

  13. T

    Jordan Stock Market (ASE General) Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Jordan Stock Market (ASE General) Data [Dataset]. https://tradingeconomics.com/jordan/stock-market
    Explore at:
    xml, json, csv, excelAvailable 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 29, 1999 - Jul 1, 2025
    Area covered
    Jordan
    Description

    Jordan's main stock market index, the ASE, fell to 2774 points on July 1, 2025, losing 0.14% from the previous session. Over the past month, the index has climbed 3.61% and is up 15.51% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Jordan. Jordan Stock Market (ASE General) - values, historical data, forecasts and news - updated on July of 2025.

  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
    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.

  15. T

    Hong Kong Stock Market Index (HK50) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 1, 2025
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    TRADING ECONOMICS (2025). Hong Kong Stock Market Index (HK50) Data [Dataset]. https://tradingeconomics.com/hong-kong/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 1, 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
    Jul 31, 1964 - Jun 30, 2025
    Area covered
    Hong Kong
    Description

    Hong Kong's main stock market index, the HK50, fell to 24072 points on June 30, 2025, losing 0.87% from the previous session. Over the past month, the index has climbed 3.95% and is up 35.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on July of 2025.

  16. A

    ‘Coca Cola Stock - Live and Updated’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Coca Cola Stock - Live and Updated’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-coca-cola-stock-live-and-updated-2ec6/4d3b5e76/?iid=002-729&v=presentation
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Coca Cola Stock - Live and Updated’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/kalilurrahman/coca-cola-stock-live-and-updated on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    https://upload.wikimedia.org/wikipedia/commons/thumb/0/09/The_Coca-Cola_Company_%282020%29.svg/330px-The_Coca-Cola_Company_%282020%29.svg.png" alt=""> https://upload.wikimedia.org/wikipedia/commons/f/f6/15-09-26-RalfR-WLC-0098.jpg" alt="">

    https://upload.wikimedia.org/wikipedia/commons/thumb/5/5e/The_Coca-Cola_Company_logo.svg/330px-The_Coca-Cola_Company_logo.svg.png" alt="">

    The Coca-Cola Company is an North American multinational beverage corporation incorporated under Delaware's General Corporation Law[a] and headquartered in Atlanta, Georgia. The Coca-Cola Company has interests in the manufacturing, retailing, and marketing of non-alcoholic beverage concentrates and syrups, and alcoholic beverages. The company produces Coca-Cola, the sugary drink for which it is best known for, invented in 1886 by pharmacist John Stith Pemberton. At the time, the product was made with coca leaves, which added an amount of cocaine to the drink, and with kola nuts, which added caffeine, so that the coca and the kola together provided a stimulative effect. This stimulative effect is the reason the drink was sold to the public as a healthy "tonic", and the coca and the kola are also the source of the name of the product and of the company.In 1889, the formula and brand were sold for $2,300 (roughly $68,000 in 2021) to Asa Griggs Candler, who incorporated The Coca-Cola Company in Atlanta in 1892.

    Since 1919, Coca-Cola has been a publicly traded company. Its stock is listed on the New York Stock Exchange under the ticker symbol "KO". One share of stock purchased in 1919 for $40, with all dividends reinvested, would have been worth $9.8 million in 2012, a 10.7% annual increase adjusted for inflation. A predecessor bank of SunTrust received $100,000 for underwriting Coca-Cola's 1919 public offering; the bank sold that stock for over $2 billion in 2012. In 1987, Coca-Cola once again became one of the 30 stocks which makes up the Dow Jones Industrial Average, which is commonly referenced as a proxy for stock market performance; it had previously been a Dow stock from 1932 to 1935. Coca-Cola has paid a dividend since 1920 and, as of 2019, had increased it each year for 57 years straight.

    --- Original source retains full ownership of the source dataset ---

  17. 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.

  18. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 16, 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
    May 16, 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 - Jul 1, 2025
    Area covered
    Russia
    Description

    Russia's main stock market index, the MOEX, fell to 2847 points on July 1, 2025, losing 0.01% from the previous session. Over the past month, the index has climbed 0.62%, though it remains 11.44% lower than a year ago, 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.

  19. HistoricalGoldStock-GLD (EFT)

    • kaggle.com
    zip
    Updated Dec 17, 2018
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    kalpana dontha (2018). HistoricalGoldStock-GLD (EFT) [Dataset]. https://www.kaggle.com/kalpanadontha/historicalgoldstockrandgoldresources
    Explore at:
    zip(49076 bytes)Available download formats
    Dataset updated
    Dec 17, 2018
    Authors
    kalpana dontha
    Description

    Context

    SPDR Gold Shares (GLD) This fund buys gold bullion. The only time it sells gold is to pay expenses and honor redemptions​. Because of the ownership of bullion, this fund is extremely sensitive to the price of gold and will follow gold price trends closely.

    One upside to owning gold bars is that no one can loan or borrow them. Another upside is that each share of this fund represents more gold than shares in other funds that do not buy physical gold. However, the downside is taxes. The Internal Revenue Service (IRS) considers gold a collectible, and taxes on long-term gains are high. (For more, see: The Most Affordable Way to Buy Gold: Physical Gold or ETFs?)

    Content

    Fund overview: CategoryCommodities Precious Metals Fund familySPDR State Street Global Advisors

    Acknowledgements

    Yahoo Finance

    Inspiration

    Dataset will be helpful for people who are looking to start playing the Time Series Analysis. What always got my attention was, when Dollar goes down DowJones and Nasdaq goes up and vice-versa. Can this dataset be used for creating a Causal Model?

  20. T

    France Stock Market Index (FR40) Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 30, 2025
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    TRADING ECONOMICS (2025). France Stock Market Index (FR40) Data [Dataset]. https://tradingeconomics.com/france/stock-market
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jun 30, 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
    Jul 9, 1987 - Jun 30, 2025
    Area covered
    France
    Description

    France's main stock market index, the FR40, rose to 7694 points on June 30, 2025, gaining 0.03% from the previous session. Over the past month, the index has declined 0.56%, though it remains 1.76% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on June of 2025.

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