100+ datasets found
  1. OTC Real Time Contributed Data

    • lseg.com
    Updated Nov 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    LSEG (2024). OTC Real Time Contributed Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/otc-real-time-contributed-data
    Explore at:
    csv,delimited,gzip,json,python,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

    Gain strategic OTC real time contributions from sell side desks across money market, foreign exchange, commodities and energy, and equity.

  2. 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
    Afghanistan, Djibouti, Marshall Islands, Uzbekistan, Barbados, Pitcairn, Ascension and Tristan da Cunha, Bhutan, Cocos (Keeling) Islands, Norway
    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.

  3. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • es.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 - Jul 23, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6327 points on July 23, 2025, gaining 0.27% from the previous session. Over the past month, the index has climbed 3.85% and is up 16.57% 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. 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.

  5. D

    Free Trading Platform Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 5, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2024). Free Trading Platform Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/free-trading-platform-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Oct 5, 2024
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Free Trading Platform Market Outlook



    The global free trading platform market size was valued at approximately USD 3.7 billion in 2023 and is projected to reach around USD 8.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.6% during the forecast period. The growth of the market is primarily driven by the increasing popularity of online trading among individual investors and the ease of access provided by these platforms.



    One of the significant growth factors in the free trading platform market is the widespread adoption of smartphones and high-speed internet, which has democratized access to trading platforms. The proliferation of smartphones has enabled a broader demographic to engage in trading activities, breaking down geographical and socioeconomic barriers. With enhanced connectivity and user-friendly interfaces, mobile-based trading platforms have become increasingly popular, allowing users to trade on-the-go, thereby boosting market growth.



    Another critical factor contributing to the growth of the free trading platform market is the increasing awareness and interest in financial markets among younger generations. Millennials and Generation Z are showing a growing interest in managing their finances and investing in various asset classes. Social media and educational resources have played a pivotal role in educating these demographics about investment opportunities, leading to a surge in demand for free trading platforms that offer easy access and minimal costs.



    The emergence of technologies such as artificial intelligence (AI) and machine learning (ML) has also been a significant driver for the market. These technologies enable trading platforms to offer advanced features such as algorithmic trading, personalized investment advice, and predictive analytics. AI and ML enhance the overall user experience by providing insightful data and automating complex trading strategies, making them accessible to novice investors and experienced traders alike.



    From a regional perspective, North America has been a dominant player in the free trading platform market due to its mature financial markets and high adoption rates of technology. The Asia Pacific region is also expected to witness substantial growth during the forecast period. This growth can be attributed to the rising disposable incomes, increasing internet penetration, and growing awareness about financial investments in countries like China and India. Europe and Latin America are also anticipated to contribute significantly to market growth, driven by regulatory changes and the increasing popularity of online trading platforms.



    Platform Type Analysis



    The free trading platform market is segmented by platform type into web-based, mobile-based, and desktop-based platforms. Web-based trading platforms remain popular due to their accessibility and ease of use. These platforms do not require any software installation and can be accessed from any device with an internet connection. They offer a range of tools and features that cater to both novice and experienced traders, such as real-time market data, charting tools, and educational resources.



    Mobile-based trading platforms have seen exponential growth in recent years, driven by the increasing penetration of smartphones and mobile internet. These platforms offer convenience and flexibility, allowing users to trade anytime and anywhere. With features like push notifications, real-time updates, and user-friendly interfaces, mobile-based platforms have become a preferred choice for many individual investors. Additionally, they often include advanced security features like biometric authentication to ensure the safety of users' investments.



    Desktop-based trading platforms are still widely used by professional and institutional investors who require advanced tools and functionalities. These platforms offer robust performance, extensive customization options, and the ability to handle large volumes of data. They are particularly suited for high-frequency trading and other complex strategies that require low latency and high processing power. Despite the rise of mobile and web-based platforms, desktop-based platforms continue to hold a significant share in the market due to their comprehensive feature set.



    The integration of new technologies such as AI, ML, and blockchain into these platforms is enhancing their capabilities and user experiences. AI and ML can provide predictive analytics, automate trading strategies, and offer personalized investment advice. Block

  6. M

    Market Data Platform Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Forecast (2025). Market Data Platform Report [Dataset]. https://www.marketresearchforecast.com/reports/market-data-platform-32153
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The Market Data Platform market is experiencing robust growth, driven by the increasing demand for real-time data analytics across diverse sectors. The expanding adoption of cloud-based solutions, coupled with the rising need for efficient risk management and regulatory compliance, is fueling market expansion. Financial institutions, in particular, are significant adopters, leveraging these platforms for high-frequency trading, algorithmic trading, and portfolio management. However, the high initial investment costs and the complexity of integrating these platforms into existing IT infrastructures pose significant challenges for some organizations. The market is segmented by deployment (cloud and on-premises) and application (retail and e-commerce, finance, healthcare, government, and others). The cloud segment is projected to dominate due to its scalability, flexibility, and cost-effectiveness. Geographically, North America currently holds a substantial market share, followed by Europe and Asia Pacific. However, the Asia Pacific region is expected to witness the highest growth rate in the coming years, driven by the rapid digitalization and increasing adoption of advanced technologies across various industries in emerging economies. The competitive landscape includes established players like Bloomberg and Refinitiv, alongside emerging innovative companies such as TRDATA and Xignite. The ongoing consolidation and strategic partnerships within the industry are further shaping the market dynamics. The forecast period (2025-2033) anticipates continued growth, propelled by advancements in artificial intelligence (AI) and machine learning (ML) integration within Market Data Platforms. These technologies enhance the analytical capabilities, enabling more sophisticated insights and predictive modeling. Moreover, the growing focus on data security and regulatory compliance will continue to drive demand for robust and secure solutions. The market's future growth will depend on factors like technological innovation, regulatory changes, economic conditions, and the successful integration of these platforms within the broader enterprise ecosystems. Competition will remain fierce, with established players constantly innovating and new entrants seeking to disrupt the market with cost-effective and user-friendly solutions.

  7. Finance, Stock, Currency / Forex, Crypto, ETF, and News Data

    • openwebninja.com
    json
    Updated Sep 18, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    OpenWeb Ninja (2024). Finance, Stock, Currency / Forex, Crypto, ETF, and News Data [Dataset]. https://www.openwebninja.com/api/real-time-finance-data
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 18, 2024
    Dataset provided by
    Authors
    OpenWeb Ninja
    Area covered
    Global Financial Markets
    Description

    This dataset provides comprehensive access to financial market data from Google Finance in real-time. Get detailed information on stocks, market quotes, trends, ETFs, international exchanges, forex, crypto, and related news. Perfect for financial applications, trading platforms, and market analysis tools. The dataset is delivered in a JSON format via REST API.

  8. d

    Currency Data: Real-Time & Historical Market Data from 350+ Crypto Exchanges...

    • datarade.ai
    .json, .csv
    Updated Nov 20, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CoinAPI (2024). Currency Data: Real-Time & Historical Market Data from 350+ Crypto Exchanges [Dataset]. https://datarade.ai/data-products/currency-data-real-time-historical-market-data-from-350-c-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Benin, Zimbabwe, Swaziland, Yemen, Antarctica, Sierra Leone, Hong Kong, Mongolia, El Salvador, Liberia
    Description

    CoinAPI is a revolutionary platform delivering comprehensive currency data from over 350 global cryptocurrency exchanges. Our advanced system provides both real-time and historical market information with unprecedented precision and depth.

    Traders, investors, and developers rely on our meticulously collected currency data to make informed decisions in the fast-moving digital asset landscape. Every data point is carefully verified and timestamped, ensuring the highest level of accuracy and reliability. From live price tracking to extensive volume metrics, CoinAPI offers an unparalleled window into the complex world of cryptocurrency markets.

    Why work with us?

    Market Coverage & Data Types: - Full Cryptocurrency Data - 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

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

    Whether you're building algorithmic trading systems, conducting research, or creating visualization tools, our real-time and historical candlesticks from exchanges worldwide provide the reliable market data you need

  9. M

    Market Data Platform Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Data Insights Market (2025). Market Data Platform Report [Dataset]. https://www.datainsightsmarket.com/reports/market-data-platform-1967433
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jun 9, 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 Market Data Platform market is experiencing robust growth, driven by the increasing demand for real-time data analytics and the proliferation of sophisticated trading strategies across financial institutions. The market's expansion is fueled by several key factors: the rise of algorithmic trading, the need for faster and more accurate market information, the growing adoption of cloud-based solutions, and the increasing regulatory scrutiny demanding robust data management and compliance. The market is witnessing a shift towards integrated platforms offering a broader range of data sources, advanced analytics capabilities, and improved connectivity. This trend is being further accelerated by the increasing adoption of artificial intelligence (AI) and machine learning (ML) for enhanced data analysis and prediction. Companies like Bloomberg, Refinitiv, and TRDATA are major players, but the market is also witnessing increased competition from innovative technology providers offering specialized solutions and niche capabilities. The forecast period from 2025-2033 suggests substantial growth, driven by the continuous adoption of these solutions across various segments of the financial services industry. The regional distribution will likely favor North America and Europe initially, followed by a gradual increase in adoption rates across Asia-Pacific and other emerging markets. The competitive landscape is dynamic, with established players facing challenges from agile startups offering innovative solutions. The success of individual vendors depends on their ability to provide high-quality data, superior analytical capabilities, seamless integration with existing infrastructure, robust security features, and a commitment to regulatory compliance. While larger players dominate market share, smaller, specialized firms are capitalizing on the demand for specialized data sets and tailored analytical tools. The increasing focus on data security and privacy will impact vendors’ strategies, with enhanced security measures and data governance becoming crucial differentiating factors. Future growth will depend on the industry's continued embrace of technology and the further development of AI/ML-driven analytical applications within the Market Data Platform ecosystem. This growth will likely result in increased consolidation and strategic partnerships in the coming years, shaping the future competitive landscape significantly.

  10. Real-Time Location Systems (RTLS) Market Analysis North America, Europe,...

    • technavio.com
    Updated Mar 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Technavio (2025). Real-Time Location Systems (RTLS) Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, China, Germany, UK, Canada, Japan, France, India, Italy, The Netherlands - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/real-time-location-systems-market-industry-analysis
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States, Canada, Global
    Description

    Snapshot img

    Real-Time Location Systems (RTLS) Market Size 2025-2029

    The real-time location systems (rtls) market size is forecast to increase by USD 45.5 billion, at a CAGR of 42.4% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasingly low cost of Radio Frequency Identification (RFID) tags and the adoption of Ultra-Wideband (UWB) technology. RFID tags, a key component of RTLS, have seen a notable decrease in price, making them more accessible and cost-effective for businesses seeking to implement location tracking systems. UWB RTLS technology, known for its high accuracy and ability to provide real-time location data, is gaining traction in various industries, including healthcare, manufacturing, and logistics. However, the market faces challenges as well.
    One major obstacle is the high implementation costs associated with deploying RTLS solutions. This includes the expense of hardware, software, and installation services. Additionally, ensuring interoperability between different RTLS systems and integrating them with existing IT infrastructure can add to the financial burden. Companies must carefully weigh the benefits of implementing RTLS against these costs to make informed strategic decisions.
    

    What will be the Size of the Real-Time Location Systems (RTLS) Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    Real-Time Location Systems (RTLS) continue to evolve and unfold in diverse applications across various sectors, driving market dynamics with unrelenting momentum. Healthcare monitoring and patient tracking systems utilize RTLS for improved care delivery and enhanced safety. In emergency response situations, RTLS enables quick identification and location of individuals in need. Energy efficiency gains are achieved through RTLS-enabled power consumption monitoring and optimization. Support services benefit from RTLS for streamlined workflow automation and improved productivity. Network infrastructure and cost reduction are enhanced through wireless communication and deployment services. Data visualization tools offer valuable insights through data aggregation and real-time alerts.

    RTLS technology is integrated with RFID tags, ultrasonic sensor fusion, and positioning algorithms for proximity detection and outdoor positioning. Security protocols ensure data encryption and error reduction, while API integrations facilitate seamless system integration. The ongoing development of RTLS technology encompasses the deployment of mobile apps, cloud platforms, and web applications for real-time data access. Indoor positioning systems, such as those utilizing Ultra-Wideband (UWB) technology, expand the capabilities of RTLS to previously uncharted territories. Continuous innovation in RTLS technology is shaping the future of industries, from healthcare and emergency response to logistics and security management. The integration of real-time location tracking, Wi-Fi positioning, and data analytics is revolutionizing the way businesses operate, offering unprecedented levels of efficiency, productivity, and safety.

    How is this Real-Time Location Systems (RTLS) Industry segmented?

    The real-time location systems (rtls) industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Application
    
      Healthcare
      Transportation and logistics
      Retail
      Government
      Others
    
    
    Solution
    
      Systems
      Tags
    
    
    Technology
    
      Active RFID
      Passive RFID
      Others
    
    
    Management
    
      Inventory/asset tracking and management
      Access control and security
      Environmental monitoring
      Others
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        The Netherlands
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      Rest of World (ROW)
    

    By Application Insights

    The healthcare segment is estimated to witness significant growth during the forecast period.

    The market is experiencing notable growth across various industries, with a particular focus on healthcare. In this sector, RTLS solutions are revolutionizing patient care and asset management. The advantages of real-time tracking and cost savings have led to increased adoption in hospitals. Indoor Location Based Services (LBS) are a key application, integrating RTLS with clinical systems for enhanced analytics. RTLS technology facilitates improved operational efficiency, security, and safety. Positioning algorithms, such as Wi-Fi positioning and Ultra-Wideband (UWB), enable accurate indoor positioning.

    Bluetooth beacons and RFID tags are essential components, supporting proximity detection and asset tracking. Integration wi

  11. F

    US Equities Basic

    • finazon.io
    json
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Finazon, US Equities Basic [Dataset]. https://finazon.io/dataset/us_stocks_essential
    Explore at:
    jsonAvailable download formats
    Dataset authored and provided by
    Finazon
    License

    https://finazon.io/assets/files/Finazon_Terms_of_Service.pdfhttps://finazon.io/assets/files/Finazon_Terms_of_Service.pdf

    Dataset funded by
    Finazon
    Description

    The best choice for those looking for license-free US market data for commercial use is US Equities Basic, which includes data display, redistribution, professional trading, and more.

    US Equities Basic is based upon a derived IEX feed. The volume coverage is 3-5% of the total trading volume in North America, which helps entities mitigate license expenses and start with real-time data.

    US Equities Basic provides raw quotes, trades, aggregated time series (OHLCV), and snapshots. Both REST API and WebSocket API are available.

    End-of-day price information disseminated after 12:00 AM EST does not require licensing in the United States by law. This applies to all exchanges, even those not included in the US Equities Basic. Finazon combines all price information after every trading day, meaning that while markets are open, real-time prices are available from a subset of exchanges, and when markets close, data is synced and contains 100% of US volume. All historical prices are adjusted for corporate actions and splits.

    Tip: Individuals with non-professional usage are not required to get exchange licenses for real-time data and, hence, are better off with the US Equities Max dataset.

  12. d

    Machine Learning Data | Korean Market | Real-Time Order Flow Data by...

    • datarade.ai
    .json, .csv, .xls
    Updated Apr 25, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TradePulse (2025). Machine Learning Data | Korean Market | Real-Time Order Flow Data by Investor Types [Dataset]. https://datarade.ai/data-products/machine-learning-data-korean-market-real-time-order-flow-tradepulse-b680
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    TradePulse
    Area covered
    Korea (Republic of)
    Description

    PowerMap can infer the subject of trading volume in real-time. This information allows users to predict the order flow by investor type of institutional, foreign, and retail traders. By implementing Direct Market Access (DMA) and High-Frequency Trading (HFT) technology, PowerMap processes and delivers large-scale transactions in real time for the Korean market. Processing high volumes of stock transactions instantly requires robust data processing capabilities. PowerMap receives direct trade data from KRX and analyzes buy and sell signals for approximately 1,000 stocks in real time, covering KOSPI stocks with a market cap over 200 billion KRW ($133.38 million) and KOSDAQ stocks over 150 billion KRW ($103.81 million).

    Key Features: 💠 Real-time investor type classification (institutional, and foreign institutional) 💠 Low-latency data ingestion 💠 Coverage of over 1,200 liquid KOSPI and KOSDAQ stocks 💠 Instantaneous detection of large-block trades and directional flow 💠 Scalable architecture for high-volume transaction analysis

    Primary Use Cases: 🔹 Institutional and proprietary traders monitoring market sentiment shifts 🔹 Quant desks identifying real-time trade triggers and flow-based signals 🔹 Algo developers incorporating investor-type flow into trading strategies 🔹 Broker-dealers and research teams analyzing intraday market dynamics 🔹 Portfolio managers assessing liquidity and participation trends

    Contact us for a real time order flow data in different markets. Stay ahead with TradePulse's order flow insights.

  13. Financial Data Service Providers in the US - Market Research Report...

    • ibisworld.com
    Updated Jan 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    IBISWorld (2025). Financial Data Service Providers in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/industry/financial-data-service-providers/5491/
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Financial data service providers offer financial market data and related services, primarily real-time feeds, portfolio analytics, research, pricing and valuation data, to financial institutions, traders and investors. Companies aggregate data and content from stock exchange feeds, broker and dealer desks and regulatory filings to distribute financial news and business information to the investment community. Recent globalization of the world capital market has benefited the financial sector and increased trading speed. Businesses rely on real-time data more than ever to help them make informed decisions. When considering a data service provider, an easy-to-use interface that shows customized, relevant information is vital for clients. During times of economic uncertainty, this information becomes more crucial than ever. Clients want information as soon and as frequently as possible, causing providers to prioritize efficiency and delivery. This was evident during the pandemic, the high interest rate environment in the latter part of the period and as the Fed cuts rates in 2024. Increased automation has helped industry players process large volumes of financial data, reducing analysis and reporting times. In addition, automation has reduced operational costs and reduced human data errors. These trends have resulted in growing revenue, which has risen at a CAGR of 3.2% to $21.9 billion over the past five years, including a 3.5% uptick in 2024 alone. Corporate profit will continue to expand as inflationary concerns begin to wane slowly. This will lead many companies to take on new clients as financial data helps them gain insight into operating their business amid ongoing trends and economic shakeups. With technology constantly advancing, service providers will continue investing in research and development to improve their products and services and best serve their clients. As technological advances continue, smaller players will be able to better compete with larger industry players. While this may lead to new companies joining the industry, larger providers will resume consolidation activity to expand their customer base. Overall, revenue is expected to swell at a CAGR of 2.7% to $25.0 billion by the end of 2029.

  14. m

    Real-Time Order Flow Data by Investor Types | Korean Market | Alternative...

    • tradepulse.mydatastorefront.com
    Updated Apr 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TradePulse (2025). Real-Time Order Flow Data by Investor Types | Korean Market | Alternative Data [Dataset]. https://tradepulse.mydatastorefront.com/products/real-time-order-flow-data-by-investor-types-korean-market-tradepulse
    Explore at:
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    TradePulse
    Area covered
    South Korea
    Description

    PowerMap, with AI-driven pattern analysis, feature detection, and inference engines, can predict the order flow of institutional, and foreign institutional net flow in real-time.

  15. Real Time Commodities Pricing Data

    • lseg.com
    Updated Nov 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    LSEG (2024). Real Time Commodities Pricing Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/commodities-data/real-time-commodities-pricing-data
    Explore at:
    csv,delimited,gzip,json,python,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

    Real-time commodities pricing data allows you to grasp where the market is, was and will be – from exchange data and OTC prices to specialist fundamentals.

  16. D

    Futures Trading Platforms Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Futures Trading Platforms Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-futures-trading-platforms-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Futures Trading Platforms Market Outlook



    The global futures trading platforms market size was valued at $3.5 billion in 2023 and is expected to reach approximately $7.6 billion by 2032, growing at a CAGR of 9.1% during the forecast period. The robust growth of this market can be attributed to the increasing digitization of financial services, rising interest in derivative trading, and advancements in trading technologies.



    One of the primary growth drivers for the futures trading platforms market is the increasing adoption of financial technologies (FinTech) across various sectors. The digital transformation has prompted financial institutions and individual traders alike to migrate towards more sophisticated trading platforms that offer real-time data, advanced analytics, and automated trading features. These platforms not only enhance trading efficiency but also reduce the risk associated with manual trading practices. Additionally, the growing popularity of algorithmic trading is compelling traders to seek platforms that provide high-frequency trading capabilities.



    Another significant factor contributing to the market's growth is the rising interest in derivative trading as a hedge against market volatility. With the global economic environment becoming increasingly uncertain, investors are turning to futures contracts to mitigate risks associated with price fluctuations in commodities, currencies, and financial indices. Futures trading platforms provide the necessary tools and features that facilitate seamless trading of these complex instruments, making them indispensable for modern traders. Moreover, the introduction of regulatory frameworks aimed at promoting transparency and reducing systemic risks is further encouraging the adoption of these platforms.



    The increasing participation of retail investors in the futures market is also driving the demand for advanced trading platforms. Historically, futures trading was dominated by institutional investors due to the complexities involved. However, the recent democratization of financial markets has enabled retail investors to access these instruments more easily. This shift has created a need for user-friendly, intuitive platforms that cater to the specific needs of retail traders, including educational resources, demo accounts, and responsive customer support. Enhanced accessibility and lower entry barriers are thus contributing to market expansion.



    The Triennial OTC Derivatives survey provides crucial insights into the global derivatives market, highlighting trends and shifts that impact futures trading platforms. As the derivatives landscape evolves, the survey underscores the growing significance of over-the-counter (OTC) derivatives in risk management and hedging strategies. This has implications for futures trading platforms, which must adapt to accommodate the increasing complexity and volume of OTC transactions. The integration of OTC derivatives into trading platforms enhances their versatility, enabling traders to manage a broader spectrum of financial instruments. As regulatory bodies continue to emphasize transparency and risk mitigation, the role of futures trading platforms in facilitating OTC derivatives trading becomes even more critical.



    From a regional perspective, North America currently holds the largest share of the futures trading platforms market, driven by a mature financial ecosystem, high adoption of advanced trading technologies, and supportive regulatory mechanisms. However, significant growth is anticipated in the Asia Pacific region, fueled by the rapid development of financial markets in countries like China and India, increasing internet penetration, and a burgeoning middle class interested in investment and trading opportunities. Europe is also expected to witness substantial growth, supported by the region's strong emphasis on financial innovation and comprehensive regulatory frameworks.



    Component Analysis



    The futures trading platforms market by component is segmented into software and services. The software segment is expected to dominate the market during the forecast period, driven primarily by the increasing demand for advanced trading tools and features. Modern trading platforms offer sophisticated software solutions that include real-time market data, technical analysis tools, and automated trading capabilities. These features provide traders with a significant competitive edge, enabling them to make more informed decisions and execu

  17. D

    Real Time Data Streaming Tool Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Real Time Data Streaming Tool Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/real-time-data-streaming-tool-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real Time Data Streaming Tool Market Outlook



    The global Real Time Data Streaming Tool market size was valued at approximately USD 10.2 billion in 2023 and is projected to grow at a robust CAGR of 18.5% from 2024 to 2032, reaching an estimated market size of USD 35.3 billion by 2032. The primary growth factor driving this market is the increasing need for businesses to gain quick insights from massive amounts of data to make informed decisions in a competitive landscape.



    One of the significant growth factors in the Real Time Data Streaming Tool market is the exponential increase in data generation from various sources such as social media, IoT devices, and enterprise applications. As businesses seek to harness this data to gain real-time insights, the demand for efficient data streaming tools is escalating. Organizations across sectors are recognizing the competitive advantage that real-time data analytics can provide, such as enhancing customer experiences, optimizing operations, and identifying new revenue opportunities.



    Another crucial factor propelling growth in this market is the widespread adoption of advanced technologies like artificial intelligence (AI) and machine learning (ML). These technologies rely heavily on data, and the ability to process this data in real-time is paramount for their effective deployment. For instance, in sectors such as healthcare and finance, real-time data processing can lead to improved predictive analytics, fraud detection, and personalized services, thereby driving the adoption of real-time data streaming tools.



    The increasing investment in cloud-based infrastructure is also a significant driver for the Real Time Data Streaming Tool market. Cloud platforms offer scalable and flexible solutions that can handle large volumes of data with minimal latency. This is particularly beneficial for small and medium enterprises (SMEs) that may not have the resources to invest in extensive on-premises infrastructure. The shift towards cloud-based solutions is further accelerated by the growing prevalence of remote work, which necessitates efficient and reliable data streaming capabilities.



    From a regional perspective, North America is expected to dominate the Real Time Data Streaming Tool market, owing to the early adoption of advanced technologies and the presence of numerous key market players. However, the Asia Pacific region is anticipated to witness the highest growth rate due to rapid digital transformation in emerging economies like China and India, coupled with increasing investments in IT infrastructure. Europe also represents a significant market, driven by stringent data regulations and the growing need for real-time analytics in various industries.



    Real Time Analytics is becoming an indispensable tool for organizations aiming to stay ahead in today's fast-paced market environment. By leveraging real time analytics, businesses can analyze data as it is generated, allowing for immediate insights and actions. This capability is crucial for sectors such as finance and healthcare, where timely data-driven decisions can significantly impact outcomes. Real time analytics not only enhances operational efficiency but also enables companies to personalize customer experiences and optimize supply chain processes. As the volume of data continues to grow, the demand for real time analytics solutions is expected to rise, driving further innovation and adoption in the market.



    Component Analysis



    In the Real Time Data Streaming Tool market, the component segment is broadly categorized into software, hardware, and services. The software segment is expected to hold the largest market share due to the extensive adoption of various data streaming platforms and tools. These software solutions offer a range of functionalities such as data integration, processing, and visualization, which are crucial for real-time analytics. Vendors are continuously enhancing their software offerings with advanced features like AI and ML capabilities, further driving their adoption.



    Hardware components, although a smaller segment compared to software, play a critical role in the Real Time Data Streaming Tool market. Specialized hardware solutions, such as high-speed data servers and network accelerators, are essential for managing the substantial volumes of data generated in real-time. These hardware solutions ensure minimal latency and high processing speeds, which are crucial for sectors that rely on i

  18. S

    Stock Market API Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Apr 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Research Forecast (2025). Stock Market API Report [Dataset]. https://www.marketresearchforecast.com/reports/stock-market-api-534238
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 24, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The global Stock Market API market is experiencing robust growth, driven by the increasing demand for real-time and historical financial data across various sectors. The proliferation of algorithmic trading, quantitative analysis, and the development of sophisticated financial applications are key factors fueling this expansion. The market is segmented by deployment (cloud-based and on-premises) and user type (SMEs and large enterprises), with cloud-based solutions gaining significant traction due to their scalability, cost-effectiveness, and accessibility. Large enterprises, with their extensive data processing needs and investment in advanced analytics, currently dominate the market share, but the SME segment is exhibiting impressive growth potential as access to affordable and user-friendly APIs becomes increasingly widespread. Geographic expansion is also a significant driver, with North America and Europe holding substantial market shares, while Asia-Pacific is emerging as a rapidly growing region fueled by increasing technological adoption and economic expansion. While competitive pressures from numerous providers and data security concerns present some restraints, the overall market outlook remains highly positive, projected to maintain a strong Compound Annual Growth Rate (CAGR) over the forecast period (2025-2033). The competitive landscape is characterized by a diverse range of established players and emerging startups. Established players like Refinitiv and Bloomberg offer comprehensive data solutions, while smaller companies like Alpha Vantage and Marketstack provide specialized APIs focusing on specific data sets or user needs. This competitive environment fosters innovation, driving the development of new features and capabilities within Stock Market APIs. The increasing demand for integrated data solutions—combining market data with alternative data sources—is another key trend shaping the market. Future growth will likely be fueled by the expansion of fintech, the rise of robo-advisors, and increasing adoption of APIs in academic research and financial education. The market's continued evolution necessitates ongoing adaptation and innovation from both established players and new entrants to cater to the evolving needs of a dynamic and technology-driven financial ecosystem. This ongoing innovation and increasing demand will drive the market to significant growth over the next decade.

  19. d

    Crypto Quotes: Real-Time & Historical CEX/DEX Data | Crypto Data | Bid Price...

    • datarade.ai
    .json, .csv
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CoinAPI, Crypto Quotes: Real-Time & Historical CEX/DEX Data | Crypto Data | Bid Price | Ask Price [Dataset]. https://datarade.ai/data-products/coinapi-crypto-quotes-data-real-time-historical-quotes-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Bahamas, Oman, Papua New Guinea, Vanuatu, France, Saudi Arabia, Croatia, El Salvador, Marshall Islands, Vietnam
    Description

    CoinAPI's Level 1 Crypto Quote Data delivers essential digital asset market intelligence, capturing real-time bid/ask prices and volumes across 350+ exchanges including both CEX and DEX platforms.

    This comprehensive data stream provides precise market snapshots with microsecond-accurate timestamps, perfect for applications demanding rapid price discovery and effective market monitoring.

    Designed for minimal latency and maximum update frequency, our feed powers everything from sophisticated trading algorithms and responsive price widgets to in-depth market analysis tools.

    You can access data through FIX or WebSocket for instant streaming or REST API for historical analysis and backtesting.

    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 is trusted by financial institutions, trading firms, hedge funds, researchers, and technology developers worldwide. We provide reliable cryptocurrency market data through our commitment to quality and technical performance.

  20. Real Time Stock Market Data Analysis with Python

    • kaggle.com
    Updated Sep 22, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CSvikram100 (2020). Real Time Stock Market Data Analysis with Python [Dataset]. https://www.kaggle.com/csvikram100/real-time-stock-market-data-analysis-with-python/notebooks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 22, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    CSvikram100
    Description

    Dataset

    This dataset was created by CSvikram100

    Contents

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
LSEG (2024). OTC Real Time Contributed Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/otc-real-time-contributed-data
Organization logo

OTC Real Time Contributed Data

Explore at:
csv,delimited,gzip,json,python,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

Gain strategic OTC real time contributions from sell side desks across money market, foreign exchange, commodities and energy, and equity.

Search
Clear search
Close search
Google apps
Main menu