100+ datasets found
  1. F

    S&P 500

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

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

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  2. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 7, 2017
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    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 - Aug 2, 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 August 2 of 2025.

  3. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, 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 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 - Aug 2, 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 August 2 of 2025.

  4. R

    Real-Time Index Database Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 23, 2025
    + more versions
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    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).

  5. Real-Time Material Price Index API Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 29, 2025
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    Growth Market Reports (2025). Real-Time Material Price Index API Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/real-time-material-price-index-api-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jun 29, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real-Time Material Price Index API Market Outlook



    According to our latest research, the global Real-Time Material Price Index API market size reached USD 1.48 billion in 2024, reflecting strong momentum driven by surging demand for dynamic pricing intelligence across industries. The market is projected to grow at a robust CAGR of 16.2% from 2025 to 2033, reaching a forecasted size of USD 5.15 billion by 2033. This accelerated expansion is primarily attributed to the increasing adoption of digital procurement, supply chain automation, and the need for real-time materials cost transparency in volatile global markets.




    The growth of the Real-Time Material Price Index API market is propelled by several critical factors. The rise in globalization and the complexity of supply chains have made it imperative for organizations to access accurate, up-to-the-minute pricing data for a wide array of raw materials. As commodity prices continue to fluctuate due to geopolitical tensions, trade policies, and environmental disruptions, the reliance on real-time APIs for price tracking and forecasting has become a strategic necessity. Enterprises are leveraging these APIs to optimize procurement decisions, manage risk, and maintain competitiveness in fast-evolving markets. The integration of artificial intelligence and machine learning into these solutions further enhances their predictive capabilities, enabling organizations to anticipate price shifts and plan accordingly.




    Another significant driver is the digital transformation sweeping through traditional sectors such as construction, manufacturing, and energy. These industries are increasingly deploying Real-Time Material Price Index APIs to automate their procurement processes, minimize human error, and ensure compliance with contractual obligations tied to material costs. The ability to seamlessly integrate these APIs with enterprise resource planning (ERP) and supply chain management (SCM) systems has unlocked new efficiencies and cost savings. Furthermore, the proliferation of cloud-based deployment models has democratized access to real-time pricing intelligence, making it feasible for small and medium-sized enterprises (SMEs) to harness the same tools as large corporations.




    The market is also benefiting from heightened regulatory scrutiny and sustainability initiatives. Governments and regulatory bodies are mandating greater transparency in sourcing and pricing, particularly for critical and rare materials. Real-Time Material Price Index APIs are playing a pivotal role in helping organizations meet these requirements by providing auditable, real-time data feeds. Additionally, as companies strive to achieve sustainability targets, these APIs aid in evaluating the cost implications of alternative sourcing strategies and greener materials. This confluence of regulatory, operational, and strategic factors is expected to sustain the market’s growth trajectory through the forecast period.




    Regionally, North America leads the Real-Time Material Price Index API market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, has witnessed widespread adoption across its construction and manufacturing sectors, driven by the rapid digitization of supply chains and robust investment in procurement technologies. Europe is experiencing a surge in demand, fueled by stringent regulatory frameworks and the push for sustainable sourcing. Meanwhile, Asia Pacific is emerging as the fastest-growing region, with countries like China and India investing heavily in digital infrastructure and industrial automation. Latin America and the Middle East & Africa are gradually catching up, propelled by modernization initiatives and the growing need for supply chain resilience.





    Component Analysis



    The Real-Time Material Price Index API market is segmented by component into software and services. The software segment dominates the market, driven by the proliferation of advanced API platforms that offer real-time da

  6. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    + more versions
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    (2025). Dow Jones Industrial Average [Dataset]. https://fred.stlouisfed.org/series/DJIA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    License

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

    Description

    Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-08-03 to 2025-08-01 about stock market, average, industry, and USA.

  7. d

    Realtime and Historical Premium Global Market Indexes

    • datarade.ai
    .json
    Updated Jun 9, 2021
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    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
    France, United States of America, Korea (Republic of), China, Germany, 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.

  8. Countries with largest stock markets globally 2025

    • statista.com
    Updated Jun 18, 2025
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    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
    Worldwide
    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.

  9. G

    Real-time Local Business Condition Index (RTLBCI)

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated May 26, 2025
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    Statistics Canada (2025). Real-time Local Business Condition Index (RTLBCI) [Dataset]. https://open.canada.ca/data/dataset/1eb4c6bb-71a3-4355-8f71-8cd028e9ee5d
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    May 26, 2025
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    The RT-LBCI is released as an experimental statistic. It is intended to provide a real-time signal on business activities following the disruptions brought about by the pandemic and through the recovery phase.

  10. F

    Futures Trading Service Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 6, 2025
    + more versions
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    Archive Market Research (2025). Futures Trading Service Report [Dataset]. https://www.archivemarketresearch.com/reports/futures-trading-service-52177
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The global futures trading services market is experiencing robust growth, driven by increasing technological advancements, rising institutional and retail investor participation, and the growing adoption of online and mobile trading platforms. The market size in 2025 is estimated at $15 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This signifies a substantial expansion of the market to an estimated $28 billion by 2033. Several factors contribute to this positive outlook. The increasing sophistication of trading algorithms and the availability of real-time market data are enhancing trading efficiency and profitability, attracting both novice and experienced traders. Furthermore, the diversification of tradable assets, including a broader range of commodities and indices, provides greater opportunities for portfolio diversification and risk management. Software-based futures trading platforms are gaining significant traction due to their advanced analytical capabilities and ease of integration with other trading tools. However, regulatory scrutiny, cybersecurity risks, and the inherent volatility of futures markets present challenges to sustained growth. The regulatory landscape is constantly evolving, requiring firms to adapt to new compliance requirements and enhance cybersecurity protocols to protect against data breaches and fraud. Moreover, fluctuations in global economic conditions and geopolitical events can significantly impact market sentiment and trading volumes. Despite these restraints, the market's growth trajectory is expected to remain positive, driven primarily by technological innovation and the expanding reach of online trading platforms to a wider investor base. The segment encompassing share price index futures and commodity futures are projected to exhibit the strongest growth, reflecting increased investor interest in these asset classes.

  11. D

    Real-Time Material Price Index API Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Dataintelo (2025). Real-Time Material Price Index API Market Research Report 2033 [Dataset]. https://dataintelo.com/report/real-time-material-price-index-api-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real-Time Material Price Index API Market Outlook



    According to our latest research, the global Real-Time Material Price Index API market size reached USD 1.14 billion in 2024, demonstrating robust momentum as organizations increasingly prioritize dynamic pricing and supply chain optimization. The market is projected to grow at a CAGR of 12.7% from 2025 to 2033, reaching an estimated USD 3.39 billion by 2033. This growth is driven by heightened demand for real-time data integration, the proliferation of digital transformation initiatives across industries, and a growing emphasis on cost control and procurement efficiency. As per our latest research, the adoption of Real-Time Material Price Index APIs is accelerating, particularly as businesses seek to enhance agility and make data-driven decisions in volatile market environments.




    One of the primary growth factors propelling the Real-Time Material Price Index API market is the increasing complexity and globalization of supply chains. Organizations across sectors such as construction, manufacturing, and energy face constant fluctuations in material costs due to geopolitical tensions, supply disruptions, and volatile commodity prices. Real-Time Material Price Index APIs empower these enterprises with instant access to up-to-date pricing data, enabling more accurate forecasting, agile procurement strategies, and optimized inventory management. This capability is especially critical in industries where material costs represent a significant portion of overall expenses, allowing businesses to maintain competitiveness and protect margins in an unpredictable economic landscape.




    Another significant driver is the rapid digitalization of procurement and enterprise resource planning (ERP) systems. As companies invest in automation and digital transformation, the integration of Real-Time Material Price Index APIs into their digital ecosystems becomes essential for seamless operations. These APIs facilitate the automatic synchronization of pricing data with purchasing, finance, and inventory modules, reducing manual intervention and minimizing the risk of costly errors. The demand for cloud-based solutions, in particular, is surging, as they offer scalability, flexibility, and ease of integration with existing platforms. This trend is further supported by the proliferation of Industry 4.0 initiatives, where real-time data is the backbone of smart manufacturing and supply chain optimization.




    The growing emphasis on data-driven decision-making is also fueling market expansion. Enterprises are increasingly leveraging advanced analytics and artificial intelligence to derive actionable insights from real-time material price data. This enables proactive risk management, dynamic pricing strategies, and improved supplier negotiations. The ability to access and analyze granular, real-time pricing information is becoming a competitive differentiator, particularly in sectors where margins are tight and responsiveness to market changes is critical. As organizations recognize the value of integrating Real-Time Material Price Index APIs with their business intelligence tools, the market is expected to witness sustained growth over the forecast period.




    From a regional perspective, North America currently leads the Real-Time Material Price Index API market, driven by early adoption of digital technologies and the presence of major players in the technology and manufacturing sectors. However, Asia Pacific is emerging as a high-growth region, fueled by rapid industrialization, expanding construction activities, and increasing investment in digital infrastructure. Europe also holds a significant share, supported by stringent regulatory requirements and a strong focus on supply chain transparency. Meanwhile, Latin America and the Middle East & Africa are witnessing gradual adoption, with growth opportunities arising from infrastructure development and modernization initiatives. Overall, the global market is characterized by diverse regional dynamics, with each geography contributing uniquely to the overall growth trajectory.



    Component Analysis



    The Real-Time Material Price Index API market by component is primarily segmented into software and services. The software segment comprises API platforms, integration tools, and analytics solutions that facilitate the seamless retrieval and processing of real-time material pricing data. These software solutions are designed to be highly scalable and adaptable, cate

  12. R

    Real-Time Index Database Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 22, 2024
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    Data Insights Market (2024). Real-Time Index Database Report [Dataset]. https://www.datainsightsmarket.com/reports/real-time-index-database-510344
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Dec 22, 2024
    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 projected to expand significantly over the forecast period, driven by the increasing adoption of real-time applications and the need for real-time data processing in various industries. The market is expected to reach a value of $XXX million by 2033, expanding at a CAGR of XX% from 2025 to 2033. Major factors driving the growth of the market include the increasing demand for real-time data analysis in various applications such as fraud detection, risk management, and customer relationship management. Additionally, the growing adoption of IoT devices and the increasing volume of data generated by these devices are also contributing to the market growth. Furthermore, the growing popularity of cloud-based real-time index database solutions is expected to fuel market expansion, as these solutions offer scalability, cost-effectiveness, and ease of deployment. Key players in the market include Elastic, Amazon Web Service, Apache Solr, Splunk, and Microsoft, among others.

  13. T

    US 100 Tech Index - Index Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, US 100 Tech Index - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/us100:ind
    Explore at:
    csv, excel, xml, 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
    Jan 1, 2000 - Aug 1, 2025
    Description

    Prices for US 100 Tech Index including live quotes, historical charts and news. US 100 Tech Index was last updated by Trading Economics this August 1 of 2025.

  14. G

    Historical (real-time) releases of the industrial product price index, by...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Historical (real-time) releases of the industrial product price index, by major product group, monthly, inactive [Dataset]. https://open.canada.ca/data/en/dataset/f97ae3ba-1bba-4deb-9925-b7c09c2cdc46
    Explore at:
    xml, html, csvAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Historical (real-time) releases of the industrial product price index (IPPI), by major product group, by North American Product Classification System (NAPCS). Monthly data are available from January 2015. The base period for the index is (2010=100).

  15. R

    Real-Time Index Database Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 10, 2025
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    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.

  16. Real-time Research | Company Data

    • lseg.com
    html,json,pdf
    Updated Nov 25, 2024
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    LSEG (2024). Real-time Research | Company Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/company-data/broker-market-independent-research/real-time-research
    Explore at:
    html,json,pdfAvailable 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

    Browse LSEG's Real-time Research, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivalled data and delivery mechanisms.

  17. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Feb 1, 2024
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    TRADING ECONOMICS (2024). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Feb 1, 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
    Jan 5, 1965 - Aug 1, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, fell to 40800 points on August 1, 2025, losing 0.66% from the previous session. Over the past month, the index has climbed 2.61% and is up 13.62% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on August of 2025.

  18. Indices

    • lseg.com
    Updated Nov 19, 2023
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    LSEG (2023). Indices [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/indices
    Explore at:
    Dataset updated
    Nov 19, 2023
    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

    LSEG is one of the world’s largest sources of index pricing, composition content, and history. Browse LSEG Indices.

  19. d

    Historical volatility time series and Live prices on Equity Options

    • datarade.ai
    Updated Mar 9, 2023
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    Canari (2023). Historical volatility time series and Live prices on Equity Options [Dataset]. https://datarade.ai/data-products/historical-volatility-time-series-and-live-prices-on-equity-o-canari
    Explore at:
    Dataset updated
    Mar 9, 2023
    Dataset authored and provided by
    Canari
    Area covered
    Netherlands, Switzerland, Belgium, Germany, Norway, France, United Kingdom, Sweden, Spain, Italy
    Description

    This dataset offers both live (delayed) prices and End Of Day time series on equity options

    1/ Live (delayed) prices for options on European stocks and indices including: Reference spot price, bid/ask screen price, fair value price (based on surface calibration), implicit volatility, forward Greeks : delta, vega Canari.dev computes AI-generated forecast signals indicating which option is over/underpriced, based on the holders strategy (buy and hold until maturity, 1 hour to 2 days holding horizon...). From these signals is derived a "Canari price" which is also available in this live tables.
    Visit our website (canari.dev ) for more details about our forecast signals.

    The delay ranges from 15 to 40 minutes depending on underlyings.

    2/ Historical time series: Implied vol Realized vol Smile Forward
    See a full API presentation here : https://youtu.be/qitPO-SFmY4 .

    These data are also readily accessible in Excel thanks the provided Add-in available on Github: https://github.com/canari-dev/Excel-macro-to-consume-Canari-API

    If you need help, contact us at: contact@canari.dev

    User Guide: You can get a preview of the API by typing "data.canari.dev" in your web browser. This will show you a free version of this API with limited data.

    Here are examples of possible syntaxes:

    For live options prices: data.canari.dev/OPT/DAI data.canari.dev/OPT/OESX/0923 The "csv" suffix to get a csv rather than html formating, for example: data.canari.dev/OPT/DB1/1223/csv For historical parameters: Implied vol : data.canari.dev/IV/BMW

    data.canari.dev/IV/ALV/1224

    data.canari.dev/IV/DTE/1224/csv

    Realized vol (intraday, maturity expressed as EWM, span in business days): data.canari.dev/RV/IFX ... Implied dividend flow: data.canari.dev/DIV/IBE ... Smile (vol spread between ATM strike and 90% strike, normalized to 1Y with factor 1/√T): data.canari.dev/SMI/DTE ... Forward: data.canari.dev/FWD/BNP ...

    List of available underlyings: Code Name OESX Eurostoxx50 ODAX DAX OSMI SMI (Swiss index) OESB Eurostoxx Banks OVS2 VSTOXX ITK AB Inbev ABBN ABB ASM ASML ADS Adidas AIR Air Liquide EAD Airbus ALV Allianz AXA Axa BAS BASF BBVD BBVA BMW BMW BNP BNP BAY Bayer DBK Deutsche Bank DB1 Deutsche Boerse DPW Deutsche Post DTE Deutsche Telekom EOA E.ON ENL5 Enel INN ING IBE Iberdrola IFX Infineon IES5 Intesa Sanpaolo PPX Kering LOR L Oreal MOH LVMH LIN Linde DAI Mercedes-Benz MUV2 Munich Re NESN Nestle NOVN Novartis PHI1 Philips REP Repsol ROG Roche SAP SAP SNW Sanofi BSD2 Santander SND Schneider SIE Siemens SGE Société Générale SREN Swiss Re TNE5 Telefonica TOTB TotalEnergies UBSN UBS CRI5 Unicredito SQU Vinci VO3 Volkswagen ANN Vonovia ZURN Zurich Insurance Group

  20. T

    Warsaw Stock Exchange WIG Index Data

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +14more
    csv, excel, json, xml
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    TRADING ECONOMICS, Warsaw Stock Exchange WIG Index Data [Dataset]. https://tradingeconomics.com/poland/stock-market
    Explore at:
    xml, excel, csv, 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
    Apr 16, 1991 - Aug 1, 2025
    Area covered
    Poland
    Description

    Poland's main stock market index, the WIG, fell to 105531 points on August 1, 2025, losing 2.18% from the previous session. Over the past month, the index has climbed 0.90% and is up 29.25% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Poland. Warsaw Stock Exchange WIG Index - values, historical data, forecasts and news - updated on August of 2025.

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(2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500

S&P 500

SP500

Explore at:
83 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jul 30, 2025
License

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

Description

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

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