100+ datasets found
  1. Real-Time Market Data & APIs | Databento

    • databento.com
    csv, dbn, json +1
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Databento, Real-Time Market Data & APIs | Databento [Dataset]. https://databento.com/live
    Explore at:
    json, dbn, csv, parquetAvailable download formats
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 21, 2017 - Present
    Area covered
    Worldwide
    Description

    Leverage Databento's real-time stock API to get tick data with full order book depth (MBO). Offering seamless intraday market replay in a single API call.

  2. d

    Realtime and Historical Premium Global Market Indexes

    • datarade.ai
    .json
    Updated Jun 9, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Finage (2021). Realtime and Historical Premium Global Market Indexes [Dataset]. https://datarade.ai/data-products/realtime-and-historical-premium-global-market-indexes-finage
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jun 9, 2021
    Dataset authored and provided by
    Finage
    Area covered
    Korea (Republic of), Germany, United States of America, China, France, India
    Description

    Premium Indices

    Real-Time 1600+ Global Index Market Coverage WebSocket Unlimited API Calls Historical Data HTTPS Encryption Premium Support

    Finage offers you a public server, VPS, and dedicated server for your applications. Edit, manage and build your own plans on your private server. Change the incoming data structure in minutes.

  3. T

    United States Stock Market Index (US30) - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 7, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). United States Stock Market Index (US30) - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/indu:ind
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 7, 2017
    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 1, 2000 - Jul 5, 2025
    Area covered
    United States
    Description

    Prices for United States Stock Market Index (US30) including live quotes, historical charts and news. United States Stock Market Index (US30) was last updated by Trading Economics this July 5 of 2025.

  4. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    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. Countries with largest stock markets globally 2025

    • statista.com
    Updated Jun 18, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Countries with largest stock markets globally 2025 [Dataset]. https://www.statista.com/statistics/710680/global-stock-markets-by-country/
    Explore at:
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

  6. T

    United States Stock Market Index (US1000) - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 23, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States Stock Market Index (US1000) - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/riy:ind
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jan 23, 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 1, 2000 - Jul 5, 2025
    Area covered
    United States
    Description

    Prices for United States Stock Market Index (US1000) including live quotes, historical charts and news. United States Stock Market Index (US1000) was last updated by Trading Economics this July 5 of 2025.

  7. d

    Historical Stock Market Price Data

    • datarade.ai
    Updated Aug 12, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AXOVISION (2023). Historical Stock Market Price Data [Dataset]. https://datarade.ai/data-products/historical-stock-market-price-data-axovision
    Explore at:
    .json, .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Aug 12, 2023
    Dataset authored and provided by
    AXOVISION
    Area covered
    Switzerland, Spain, Japan, Austria, Netherlands, Mexico, Italy, Germany, China, Canada
    Description

    We offer historical price data for equity indexes, ETFs and individual stocks in a Open/High/Low/Close (OHLC) format and can add almost any other required metric. We cover all major markets and many minor markets. Available for one-time purchase or with regular updates. Real-time/near-time (usually anything quicker than a 15min delay) requires an additional licence from the respective exchange, anything slower does not.

  8. d

    Crypto Market Indices | VWAP & PRIMKT Indices Data | Real-Time & Historical...

    • datarade.ai
    .json, .csv
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CoinAPI, Crypto Market Indices | VWAP & PRIMKT Indices Data | Real-Time & Historical Crypto Index [Dataset]. https://datarade.ai/data-products/coinapi-crypto-index-vwap-primkt-indexes-cryptocurrenc-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Togo, Saudi Arabia, Micronesia (Federated States of), Australia, Botswana, Brunei Darussalam, Oman, Congo (Democratic Republic of the), Lesotho, Brazil
    Description

    CoinAPI's comprehensive set of crypto market indices gives traders and institutions the reliable price benchmarks they need. Our system tracks VWAP and PRIMKT indices data across more than 350 exchanges, updating every 100ms to ensure you always have the latest market information.

    The VWAP (Volume-Weighted Average Price) index shows you what's happening across the entire market by combining prices and trading volumes from multiple exchanges. By weighting each trade by its size, VWAP reveals the true market consensus price, filtering out noise from low-liquidity venues. This makes it perfect for making informed trading decisions or valuing your crypto holdings accurately.

    Meanwhile, our PRIMKT (Principal Market Price) index focuses specifically on the exchanges with the highest trading volumes for each cryptocurrency pair. This approach meets important accounting standards like IFRS 13 and FASB ASC 820, making it especially valuable for companies that need to report crypto assets on their financial statements.

    Both real-time and historical crypto index data are available, giving you the complete picture of market movements over time. Whether you're trading actively, conducting research, or preparing financial reports, our crypto market indices provide the accurate price discovery tools you need.

    Why work with us?

    Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Market indexes (VWAP, PRIMKT) - 13 Data Sources - +7k indexes tracked - +2k assets covered - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume

    Technical Excellence: - 99,9% uptime guarantee - 100ms update frequency - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

    From Wall Street trading desks to Silicon Valley analytics firms, financial professionals worldwide rely on our indices when accuracy matters most. We've built our reputation on delivering clean, consistent market benchmarks that stand up to scrutiny. When organizations need to know the true price of digital assets - not just what's displayed on a single exchange - they turn to CoinAPI. Join the community of professionals who've made our crypto market indices their gold standard for price discovery.

  9. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS, Russia Stock Market Index MOEX CFD Data [Dataset]. https://tradingeconomics.com/russia/stock-market
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Sep 22, 1997 - Jul 4, 2025
    Area covered
    Russia
    Description

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

  10. Stock Portfolio Data with Prices and Indices

    • kaggle.com
    Updated Mar 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

  11. M

    Dow Jones - 100 Year Historical Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MACROTRENDS (2025). Dow Jones - 100 Year Historical Chart [Dataset]. https://www.macrotrends.net/1319/dow-jones-100-year-historical-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart of the Dow Jones Industrial Average (DJIA) stock market index for the last 100 years. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

  12. NYSE Market Data

    • lseg.com
    Updated Nov 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    LSEG (2024). NYSE Market Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/equities-market-data/nyse-market-data
    Explore at:
    csv,delimited,gzip,html,json,pcap,pdf,parquet,python,sql,string format,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    View Refinitiv's New York Stock Exchange (NYSE) Market Data and benefit from full-depth market-by-price data, available as real-time and historical records.

  13. d

    Real-Time Crypto Data: Live Streaming Data for High-Frequency Trading and...

    • datarade.ai
    .json, .csv
    Updated Sep 26, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CoinAPI (2018). Real-Time Crypto Data: Live Streaming Data for High-Frequency Trading and Investment | Tick-by-tick data [Dataset]. https://datarade.ai/data-products/coinapi-real-time-crypto-data-live-streaming-data-websoc-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Sep 26, 2018
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Marshall Islands, Afghanistan, Djibouti, Barbados, Bhutan, Uzbekistan, Ascension and Tristan da Cunha, Cocos (Keeling) Islands, Norway, Pitcairn
    Description

    CoinAPI delivers ultra-low latency cryptocurrency market data built for professional traders who demand absolute precision. Our tick-by-tick updates capture every market movement in real-time, providing the critical insights needed for split-second decisions in volatile markets.

    Our WebSocket implementation streams live data directly to your trading systems with minimal delay, giving you the edge when identifying emerging patterns and opportunities. This immediate visibility helps optimize your trading strategies and manage risk more effectively in rapidly changing conditions.

    We've engineered our infrastructure specifically for reliability under pressure. When markets surge and data volumes spike, our systems maintain consistent performance and delivery - ensuring your critical operations continue without interruption. For high-frequency trading and institutional investors who can't afford to wait, CoinAPI provides real-time cryptocurrency intelligence that drives successful decision-making

    Why work with us?

    Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume - Full Cryptocurrency Investor Data.

    Technical Excellence: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

    CoinAPI delivers mission-critical insights to financial institutions globally, enabling informed decision-making in volatile cryptocurrency markets. Our enterprise-grade infrastructure processes milions of data points daily, offering unmatched reliability.

  14. Monthly development Dow Jones Industrial Average Index 2018-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Mar 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ********* at the end of March 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

  15. Stock market volatility - Business Environment Profile

    • ibisworld.com
    Updated Jun 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IBISWorld (2025). Stock market volatility - Business Environment Profile [Dataset]. https://www.ibisworld.com/united-kingdom/bed/stock-market-volatility/44242
    Explore at:
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Description

    This report analyses movements in the Chicago Board Options Exchange (CBOE) Volatility Index. Known by its ticker symbol VIX, the CBOE Volatility Index is a real-time market index that indicates the stock market's expectation of volatility and is derived from the price inputs of the S&P 500 Index options - the S&P 500 is a US stock market index based on the market capitalisation of 500 large companies having common stock listed on the New York Stock Exchange (NYSE), the Nasdaq Stock Market (NASDAQ), or the Cboe BZX Exchange. Effectively, the VIX measures the degree of variation in S&P 500 stocks' trading price observed over a period of time. The data is sourced from Yahoo Finance, which ultimately derives from the CBOE, in addition to estimates by IBISWorld. The figures represent the average daily unadjusted close value of the index over the UK financial year (i.e. April through March).

  16. T

    Sweden Stock Market Index Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2024). Sweden Stock Market Index Data [Dataset]. https://tradingeconomics.com/sweden/stock-market
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Apr 25, 2024
    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 30, 1986 - Jul 4, 2025
    Area covered
    Sweden
    Description

    Sweden's main stock market index, the Stockholm, fell to 2513 points on July 4, 2025, losing 0.67% from the previous session. Over the past month, the index has declined 0.36% and is down 1.72% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Sweden. Sweden Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  17. R

    Real-Time Index Database Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 10, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). Real-Time Index Database Report [Dataset]. https://www.marketreportanalytics.com/reports/real-time-index-database-75393
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The Real-Time Index Database market is experiencing robust growth, driven by the increasing demand for immediate data insights across diverse sectors. The market's expansion is fueled by the proliferation of big data, the need for faster decision-making, and the rising adoption of cloud-based solutions. Businesses across various applications, including individual developers and large enterprises, are leveraging real-time indexing to enhance operational efficiency, improve customer experiences, and gain a competitive edge. The cloud-based segment is witnessing particularly rapid growth, propelled by scalability, cost-effectiveness, and ease of deployment. While on-premises solutions maintain relevance for specific security and compliance requirements, the cloud's flexibility is attracting a larger market share. Major players like Elastic, Amazon Web Services (AWS), Apache Solr, Splunk, and Microsoft are actively shaping the market landscape through continuous innovation and competitive pricing strategies. Geographic expansion is also a significant factor, with North America currently holding a dominant position, followed by Europe and Asia Pacific. However, developing economies in Asia Pacific are poised for significant growth in the coming years, driven by increasing digitalization and adoption of advanced technologies. The market faces some restraints, including complexities in data integration and the need for specialized expertise. However, ongoing technological advancements and the development of user-friendly interfaces are mitigating these challenges. We project a continued upward trajectory, with substantial growth expected across all segments and regions throughout the forecast period (2025-2033). The projected Compound Annual Growth Rate (CAGR) suggests a substantial increase in market value over the forecast period. This growth is underpinned by several factors: the rising adoption of real-time analytics across industries like finance, healthcare, and e-commerce; the increasing availability of affordable and scalable cloud infrastructure; and the growing demand for improved search functionalities and faster data processing capabilities. While challenges remain – such as data security concerns and the need for skilled professionals – the overall market outlook remains positive, indicating significant opportunities for existing players and new entrants. Continuous innovation in indexing technologies, combined with the increasing need for real-time insights in a data-driven world, will continue to be the key drivers of this market's expansion.

  18. R

    Real-Time Index Database Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 23, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Insights Market (2025). Real-Time Index Database Report [Dataset]. https://www.datainsightsmarket.com/reports/real-time-index-database-510341
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    May 23, 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 real-time index database market is experiencing robust growth, driven by the increasing demand for real-time insights across diverse sectors. The market's expansion is fueled by the proliferation of data-intensive applications, particularly in finance, e-commerce, and IoT. Businesses are increasingly reliant on immediate data analysis for informed decision-making, optimized operations, and improved customer experiences. The surge in the adoption of cloud-based solutions and the growing sophistication of analytics tools are key factors contributing to the market's upward trajectory. Major players like Elastic, Amazon Web Services, and Splunk are leading the innovation, offering scalable and highly performant solutions to address the growing complexity and volume of real-time data. Competition is intense, with companies continuously striving to enhance their offerings with features such as advanced analytics capabilities, enhanced security, and improved integration with other enterprise systems. While the market presents significant opportunities, challenges remain. The complexities of managing and analyzing real-time data streams, along with the associated infrastructure costs, can present hurdles for adoption. Ensuring data security and compliance with industry regulations also poses considerable challenges for businesses. However, ongoing advancements in database technology, coupled with the decreasing cost of cloud computing resources, are mitigating these concerns and opening up new avenues for growth. The market is expected to witness continuous innovation, with the emergence of new technologies and approaches to further improve the efficiency and scalability of real-time index databases. This will drive the market toward greater adoption across various industries and contribute to its sustained expansion in the coming years. We estimate a market size of $15 billion in 2025, with a CAGR of 15% over the forecast period (2025-2033).

  19. Weekly development Dow Jones Industrial Average Index 2020-2025

    • statista.com
    • ai-chatbox.pro
    Updated Mar 20, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2023). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

  20. S

    Us Metal Index Live

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IndexBox Inc. (2025). Us Metal Index Live [Dataset]. https://www.indexbox.io/search/us-metal-index-live/
    Explore at:
    docx, xlsx, xls, pdf, docAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jun 28, 2025
    Area covered
    United States
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Discover how the US Metal Index Live provides real-time data on metal market trends, aiding investors, traders, and analysts in sectors reliant on metals like manufacturing and energy. Track price fluctuations driven by supply-demand changes, geopolitical factors, and more, with enhanced access through modern financial platforms.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Databento, Real-Time Market Data & APIs | Databento [Dataset]. https://databento.com/live
Organization logo

Real-Time Market Data & APIs | Databento

Real-time stock market API - Access indices data and more

Explore at:
json, dbn, csv, parquetAvailable download formats
Dataset provided by
Databento Inc.
Authors
Databento
Time period covered
May 21, 2017 - Present
Area covered
Worldwide
Description

Leverage Databento's real-time stock API to get tick data with full order book depth (MBO). Offering seamless intraday market replay in a single API call.

Search
Clear search
Close search
Google apps
Main menu