100+ datasets found
  1. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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 - Apr 7, 2026
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6764 points on April 7, 2026, gaining 2.30% from the previous session. Over the past month, the index has declined 0.47%, though it remains 35.75% higher than a year ago, 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 April of 2026.

  2. F

    Index of Common Stock Prices, New York Stock Exchange for United States

    • fred.stlouisfed.org
    json
    Updated Aug 15, 2012
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2012). Index of Common Stock Prices, New York Stock Exchange for United States [Dataset]. https://fred.stlouisfed.org/series/M11007USM322NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 15, 2012
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about stock market, New York, indexes, and USA.

  3. T

    Euro Area Stock Market Index (EU50) Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, Euro Area Stock Market Index (EU50) Data [Dataset]. https://tradingeconomics.com/euro-area/stock-market
    Explore at:
    excel, json, csv, 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
    Dec 31, 1986 - Apr 8, 2026
    Area covered
    Euro Area
    Description

    Euro Area's main stock market index, the EU50, rose to 5924 points on April 8, 2026, gaining 5.18% from the previous session. Over the past month, the index has climbed 4.19% and is up 28.15% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Euro Area. Euro Area Stock Market Index (EU50) - values, historical data, forecasts and news - updated on April of 2026.

  4. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Apr 7, 2026
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2026). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 7, 2026
    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. b

    Stock Prices Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 2, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bright Data (2024). Stock Prices Dataset [Dataset]. https://brightdata.com/products/datasets/financial/stock-price
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

    Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.

  6. T

    BSE SENSEX Stock Market Index Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, BSE SENSEX Stock Market Index Data [Dataset]. https://tradingeconomics.com/india/stock-market
    Explore at:
    excel, json, xml, 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
    Apr 3, 1979 - Apr 8, 2026
    Area covered
    India
    Description

    India's main stock market index, the SENSEX, rose to 77563 points on April 8, 2026, gaining 3.95% from the previous session. Over the past month, the index has declined 0.00%, though it remains 5.03% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on April of 2026.

  7. Securities Exchanges Market Growth Analysis - Size and Forecast 2026-2030

    • technavio.com
    pdf
    Updated Mar 10, 2026
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Technavio (2026). Securities Exchanges Market Growth Analysis - Size and Forecast 2026-2030 [Dataset]. https://www.technavio.com/report/securities-exchanges-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Mar 10, 2026
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2026 - 2030
    Description

    snapshot-tab-pane Securities Exchanges Market Size 2026-2030The securities exchanges market size is valued to increase by USD 65.02 billion, at a CAGR of 12.8% from 2025 to 2030. Growing demand for investment opportunities will drive the securities exchanges market.Major Market Trends & InsightsAPAC dominated the market and accounted for a 39.1% growth during the forecast period.By Service - Market platforms segment was valued at USD 40.15 billion in 2024By Trade Finance Instruments - Equities segment accounted for the largest market revenue share in 2024Market Size & ForecastMarket Opportunities: USD 92.75 billionMarket Future Opportunities: USD 65.02 billionCAGR from 2025 to 2030 : 12.8%Market SummaryThe securities exchanges market is undergoing a significant transformation, driven by technological innovation and evolving regulatory landscapes. Core operations are being enhanced through the adoption of advanced technologies like AI-driven market surveillance systems and distributed ledger technology, which promise greater efficiency and security.This shift is a direct response to the demands of high-frequency trading and the need for low-latency execution environments. Exchanges are also diversifying their revenue streams beyond simple transaction fees, moving into high-margin areas such as market data feeds and index licensing.A key trend is the democratization of market access, with online platforms empowering a new generation of retail investors. For instance, an asset management firm now leverages sophisticated algorithmic trading strategies, using real-time data analytics to optimize its portfolio and manage risk in a market characterized by increasing speed and complexity.However, this digitalization also introduces challenges, including heightened cybersecurity risks and the complexities of navigating market fragmentation across different trading venues.What will be the Size of the Securities Exchanges Market during the forecast period? Get Key Insights on Market Forecast (PDF) Request Free SampleHow is the Securities Exchanges Market Segmented?The securities exchanges industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2026-2030, as well as historical data from 2020-2024 for the following segments.ServiceMarket platformsCapital access platformsOthersTrade finance instrumentsEquitiesDerivativesBondsExchange-traded fundsOthersTypeLarge-cap exchangesMid-cap exchangesSmall-cap exchangesGeographyAPACChinaJapanIndiaNorth AmericaUSCanadaMexicoEuropeUKThe NetherlandsGermanySouth AmericaBrazilArgentinaMiddle East and AfricaSouth AfricaSaudi ArabiaRest of World (ROW)By Service InsightsThe market platforms segment is estimated to witness significant growth during the forecast period.Market platforms are the foundational service segment, providing the core infrastructure for trading activities.These securities trading platforms are defined by their electronic order matching engine, which processes bids and asks from the order book to establish prices in lit markets.Institutional investors and prime brokerage firms rely on these systems for executing trades and accessing real-time market data feeds. Exchanges generate revenue from equity listing and corporate bond issuance, facilitating initial public offering (IPO) events and other capital formation services.The entire trade lifecycle management, from order placement to execution, is managed within this segment, with automation driving down paperwork and processing costs by over 70% for some participants. Request Free SampleThe Market platforms segment was valued at USD 40.15 billion in 2024 and showed a gradual increase during the forecast period. Request Free SampleRegional AnalysisAPAC is estimated to contribute 39.1% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. See How Securities Exchanges Market Demand is Rising in APAC Request Free SampleThe geographic landscape is characterized by intense competition and regional specialization, contributing to market fragmentation. North America continues to lead in innovation, especially around the T+1 settlement cycle, which compels upgrades to financial market infrastructure.The region also sees a high volume of secondary offering and special purpose acquisition company (SPAC) transactions.Meanwhile, APAC is the fastest-growing region, contributing over 39% of the market's incremental growth, driven by strong cross-border listing activity and a focus on improving cross-border settlement through its central securities depository networks.The market microstructure in Europe is ad

  8. M

    Mexico Stock market index, February, 2026 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Aug 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2024). Mexico Stock market index, February, 2026 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Mexico/share_price_index/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Aug 4, 2024
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Jan 31, 1970 - Feb 28, 2026
    Area covered
    Mexico
    Description

    Stock market index in Mexico, February, 2026 The most recent value is 161.03 points as of February 2026, an increase compared to the previous value of 152.59 points. Historically, the average for Mexico from January 1970 to February 2026 is 37.25 points. The minimum of 0 points was recorded in January 1970, while the maximum of 161.03 points was reached in February 2026. | TheGlobalEconomy.com

  9. T

    France Stock Market Index (FR40) Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, France Stock Market Index (FR40) Data [Dataset]. https://tradingeconomics.com/france/stock-market
    Explore at:
    json, xml, 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
    Jul 9, 1987 - Apr 8, 2026
    Area covered
    France
    Description

    France's main stock market index, the FR40, rose to 8245 points on April 8, 2026, gaining 4.26% from the previous session. Over the past month, the index has climbed 4.17% and is up 20.14% compared to the same time last year, 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 April of 2026.

  10. Yahoo Finance Dataset (2018-2023)

    • kaggle.com
    zip
    Updated May 9, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Suruchi Arora (2023). Yahoo Finance Dataset (2018-2023) [Dataset]. https://www.kaggle.com/datasets/suruchiarora/yahoo-finance-dataset-2018-2023
    Explore at:
    zip(79394 bytes)Available download formats
    Dataset updated
    May 9, 2023
    Authors
    Suruchi Arora
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    The "yahoo_finance_dataset(2018-2023)" dataset is a financial dataset containing daily stock market data for multiple assets such as equities, ETFs, and indexes. It spans from April 1, 2018 to March 31, 2023, and contains 1257 rows and 7 columns. The data was sourced from Yahoo Finance, and the purpose of the dataset is to provide researchers, analysts, and investors with a comprehensive dataset that they can use to analyze stock market trends, identify patterns, and develop investment strategies. The dataset can be used for various tasks, including stock price prediction, trend analysis, portfolio optimization, and risk management. The dataset is provided in XLSX format, which makes it easy to import into various data analysis tools, including Python, R, and Excel.

    The dataset includes the following columns:

    Date: The date on which the stock market data was recorded. Open: The opening price of the asset on the given date. High: The highest price of the asset on the given date. Low: The lowest price of the asset on the given date. Close*: The closing price of the asset on the given date. Note that this price does not take into account any after-hours trading that may have occurred after the market officially closed. Adj Close**: The adjusted closing price of the asset on the given date. This price takes into account any dividends, stock splits, or other corporate actions that may have occurred, which can affect the stock price. Volume: The total number of shares of the asset that were traded on the given date.

  11. Stock Market Analysis

    • kaggle.com
    zip
    Updated May 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Adithya Bhaskar (2025). Stock Market Analysis [Dataset]. https://www.kaggle.com/datasets/adithyabhaskar2511/stock-market-analysis
    Explore at:
    zip(2767867707 bytes)Available download formats
    Dataset updated
    May 1, 2025
    Authors
    Adithya Bhaskar
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset contains enriched historical stock market data for Indian NIFTY 50, NIFTY 100, and select global stocks (such as AAPL, TSLA, GOOGL, etc.). It is compiled to support advanced AI/ML modeling such as time series forecasting, trend classification, and real-time price prediction.

    📁 Dataset Contents The dataset is split into multiple parts (.z01, .z02, ..., data.zip) to bypass file size upload limitations. Please download all files before extracting.

    🔹 Structure inside archive: data/ ├── static_raw/ # Original Kaggle datasets (NIFTY 50, NIFTY 100, global stocks) ├── processed/ # Cleaned, pre-processed data │ ├── static/ # Static historical data │ ├── live/ # yFinance live historical pull │ └── enriched/ # With moving averages, indicators, etc. 🔹 File Format: .csv files

    Common columns: Date, Open, High, Low, Close, Volume, technical indicators

    🛠️ How to Extract After downloading the dataset !unzip data.zip

    📌 Use Cases

    This dataset is ideal for:

    1.LSTM/GRU-based stock prediction

    2.Prophet model benchmarking

    3.Trend classification (bullish/bearish)

    4.Feature engineering for time series

    5.Interactive dashboards with Streamlit

    📢 Credits

    This dataset is part of a capstone AI project by:

    Adithya B – Data collection, preprocessing, and full-stack integration

    Hemnath S – Model evaluation

    Harish Kumar K – Report creation & documentation

    Joshua D – Dataset collection & management

    Institution: Tagore Engineering College, Department of Computer Science Engineering

  12. m

    Rolling Stock Market Size, Share & Industry Trends 2031

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Mar 31, 2026
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mordor Intelligence (2026). Rolling Stock Market Size, Share & Industry Trends 2031 [Dataset]. https://www.mordorintelligence.com/industry-reports/rolling-stock-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Mar 31, 2026
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2031
    Area covered
    Global
    Description

    The Rolling Stock Market Report is Segmented by Type (Locomotives, Metros and Light Rail Vehicles, Passenger Coaches, and More), Propulsion Type (Diesel, Electric, and More), Application (Passenger Rail and Freight Rail), End-User (National Rail Operators and More), Technology (Conventional and More) and Geography. The Market Forecasts are Provided in Terms of Value (USD) and Volume (Units).

  13. C

    Capital Exchange Ecosystem Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Jan 11, 2026
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2026). Capital Exchange Ecosystem Market Report [Dataset]. https://www.marketreportanalytics.com/reports/capital-exchange-ecosystem-market-99578
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jan 11, 2026
    Dataset authored and provided by
    Market Report Analytics
    License

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

    Time period covered
    2026 - 2034
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming capital exchange ecosystem market, projected to reach $1.7 trillion by 2033 with a 5.8% CAGR. Explore market drivers, trends, regional breakdowns, and key players impacting stock & bond trading across NYSE, NASDAQ, LSE, and more. Get insights into primary, secondary, and capital market segments. Recent developments include: In December 2023, Defiance ETFs, introduced the Defiance Israel Bond ETF (NYSE Arca: CHAI) to facilitate investors' access to the Israeli bond market. CHAI commenced trading on the New York Stock Exchange. The ETF, CHAI, mirrors the MCM (Migdal Capital Markets) BlueStar Israel Bond Index, enabling investors to tap into both Israel government and corporate bonds. This index specifically monitors the performance of bonds, denominated in USD and shekels, issued by either the Israeli government or Israeli corporations., In January 2024, the National Stock Exchange (NSE) saw a 22% rise in its investor base, increasing from 70 million to 85.4 million during the calendar year 2023. This growth highlights the increasing participation of retail investors in the stock market.. Key drivers for this market are: Automating all processes, Regulatory Landscape. Potential restraints include: Automating all processes, Regulatory Landscape. Notable trends are: Increasing Stock Exchanges Index affecting Capital Market Exchange Ecosystem.

  14. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, 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 - Apr 7, 2026
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3890 points on April 7, 2026, gaining 0.26% from the previous session. Over the past month, the index has declined 5.04%, though it remains 23.67% higher than a year ago, 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 April of 2026.

  15. H

    Stock Market Next Day Forecast Data

    • dataverse.harvard.edu
    Updated Oct 6, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ryan Dipura (2025). Stock Market Next Day Forecast Data [Dataset]. http://doi.org/10.7910/DVN/UM5UGX
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 6, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Ryan Dipura
    License

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

    Description

    Stock market forecasting remains a complex and challenging task to forecast, traditional technical analysis methods like RSI, EMA, and Candlestick Patterns often fail to analyze the stock market time series pattern with many recent studies have now explored forecasting using machine learning or neural networks, other studies have improved the increase in accuracy or decrease in regression loss by applying technical indicator and sentiment analysis. This paper aims to analyze the performance of the combined reinforcement learning and machine learning models in predicting the stock market’s next day trend by incorporating both technical and sentiment-based features. Technical indicators were derived from historical price data focused on multi-timeframe trend and swing trend in the market, then sentiment features were extracted using FinBERT from Benzinga Pro as a reliable financial news source. The reinforcement learning model used is the Proximal Policy Optimization model, while a variety of machine learning models, such as XGBoost, Gradient Boosting, Random Forest, Decision Tree, K-Nearest Neighbor, Support Vector Machine, and Logistic Regression were trained to assess its predictive performance. Results indicate that the ensemble model outperformed the other tested machine learning models with an accuracy score of 69.97%. These reports highlight the effectiveness of the ensemble model combining sentiment and technical features to enhance stock market predictions accuracy. However, limitations such as news data availability and the small training time, remain a key challenge that could potentially increase the performance. Future research could experiment with alternative models, more training time, advance technical patterns, and more news datasets.

  16. Monthly development DAX Index 2015-2026

    • statista.com
    Updated Mar 30, 2026
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2026). Monthly development DAX Index 2015-2026 [Dataset]. https://www.statista.com/statistics/261678/annual-dax-trends-since-1987/
    Explore at:
    Dataset updated
    Mar 30, 2026
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Feb 2026
    Area covered
    Germany
    Description

    At the end of February 2026, the DAX index reached ********* points, marking its highest level since January 2015. Moreover, this also reflected a strong recovery from the global coronavirus (COVID-19) pandemic, having risen from ******** points at the end of March 2020 and surpassing its pre-pandemic level of approximately ********* points at the end of December 2019. Origin and composition of the DAX Index The DAX (Deutscher Aktienindex) is the most important German stock index, showing the value trends of the 40 largest companies by market capitalization listed on the Frankfurt stock exchange. The DAX index was introduced on July 1, 1988 and is a continuation of the Börsen-Zeitung Index, established in 1959. The count among their number some of the most recognizable companies in the world, such as carmakers Volkswagen and Daimler, sportswear brand adidas, and industrial giants Siemens and BASF. After the DAX, the 50 next-largest German companies are included in the midcap MDAX index, while the 70 next-largest small and medium-sized German companies (ranked from 91 to 160) are included in the SDAX index. The Frankfurt Stock Exchange All the companies included in the DAX family of indices are traded on the Frankfurt Stock Exchange. Dating back to 1585, the Frankfurt Stock Exchange is considered to be the oldest exchange in the world. It is the twelfth largest stock exchange in the world in terms of market capitalization, and accounts for around ** percent of all equity trading in Germany. Two main trading venues comprise the Frankfurt Stock Exchange: the Börse Frankfurt is a traditional trading floor; while the Xetra is an electronic trading system which accounts for the vast majority of trading volume on Frankfurt Stock Exchange. As of December 2023, the total market capitalization of all companies listed on the Frankfurt Stock Exchange was around *** trillion euros.

  17. Dataset: Global X Nasdaq 100 Covered Call & Gro...

    • kaggle.com
    zip
    Updated Jun 21, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Nitiraj Kulkarni (2024). Dataset: Global X Nasdaq 100 Covered Call & Gro... [Dataset]. https://www.kaggle.com/datasets/nitirajkulkarni/qylg-stock-performance
    Explore at:
    zip(24407 bytes)Available download formats
    Dataset updated
    Jun 21, 2024
    Authors
    Nitiraj Kulkarni
    License

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

    Description

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

  18. r

    PAG Base Stock Market Size, Share & Growth Trends Analysis by 2034

    • reportsanddata.com
    pdf,excel,csv,ppt
    Updated Dec 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Reports and Data (2025). PAG Base Stock Market Size, Share & Growth Trends Analysis by 2034 [Dataset]. https://www.reportsanddata.com/report-detail/pag-base-stock-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Dec 12, 2025
    Dataset authored and provided by
    Reports and Data
    License

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

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    The PAG Base Stock Market size valuation is expected to reach USD 4.5 billion in 2034 expanding at a CAGR of 6.2%. The PAG Base Stock Market report classifies market by key companies, drivers, demand, trend, and forecast insights.

  19. T

    Israel Stock Market (TA-125) Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, Israel Stock Market (TA-125) Data [Dataset]. https://tradingeconomics.com/israel/stock-market
    Explore at:
    excel, json, csv, 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
    Oct 8, 1992 - Apr 6, 2026
    Area covered
    Israel
    Description

    Israel's main stock market index, the TA-125, rose to 4157 points on April 6, 2026, gaining 1.19% from the previous session. Over the past month, the index has declined 1.14%, though it remains 72.76% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on April of 2026.

  20. Kenya Stock Market Forecast Dataset

    • focus-economics.com
    html
    Updated Jan 17, 2026
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FocusEconomics (2026). Kenya Stock Market Forecast Dataset [Dataset]. https://www.focus-economics.com/country-indicator/kenya/stock-market/
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jan 17, 2026
    Dataset authored and provided by
    FocusEconomics
    License

    https://www.focus-economics.com/terms-and-conditions/https://www.focus-economics.com/terms-and-conditions/

    Time period covered
    2014 - 2024
    Area covered
    Kenya
    Variables measured
    forecast, kenya_stock_market
    Description

    Monthly and long-term Kenya Stock Market data: historical series and analyst forecasts curated by FocusEconomics.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS, United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market

United States Stock Market Index Data

United States Stock Market Index - Historical Dataset (1928-01-03/2026-04-07)

Explore at:
23 scholarly articles cite this dataset (View in Google Scholar)
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 - Apr 7, 2026
Area covered
United States
Description

The main stock market index of United States, the US500, rose to 6764 points on April 7, 2026, gaining 2.30% from the previous session. Over the past month, the index has declined 0.47%, though it remains 35.75% higher than a year ago, 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 April of 2026.

Search
Clear search
Close search
Google apps
Main menu