100+ datasets found
  1. d

    Indices Data | Stock & Bonds Indices | Benchmark | Constituents

    • datarade.ai
    .xml, .csv, .txt
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    Exchange Data International, Indices Data | Stock & Bonds Indices | Benchmark | Constituents [Dataset]. https://datarade.ai/data-products/edi-index-benchmark-constituents-components-for-over-300-exchange-data-international
    Explore at:
    .xml, .csv, .txtAvailable download formats
    Dataset authored and provided by
    Exchange Data International
    Area covered
    Croatia, Egypt, Venezuela (Bolivarian Republic of), Korea (Republic of), Slovenia, Russian Federation, Sweden, Canada, Iceland, Bulgaria
    Description

    EDI tracks and collects index notifications from a wide range of index providers and covers many financial market indices, including stock and bond indices as well as economic indicators. Components for over 6000 Indices worldwide

    Indices Data. The components are updated daily. Historical components lists are available based on legal advice. Index components weighting are not offered.

    Using the EDI SFTP Server, you will receive the daily index composition of the indices that you subscribe to. The files are provided as txt.csv or xls format. EDI provides a free coverage check and samples of the index components that are of interest to you.

  2. United States NASDAQ: Index: Total Return: NASDAQ US Benchmark Financial...

    • ceicdata.com
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    CEICdata.com, United States NASDAQ: Index: Total Return: NASDAQ US Benchmark Financial Data Providers Index [Dataset]. https://www.ceicdata.com/en/united-states/nasdaq-total-return-monthly
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    NASDAQ: Index: Total Return: NASDAQ US Benchmark Financial Data Providers Index data was reported at 1,537.630 NA in Apr 2025. This records a decrease from the previous number of 1,579.630 NA for Mar 2025. NASDAQ: Index: Total Return: NASDAQ US Benchmark Financial Data Providers Index data is updated monthly, averaging 1,245.865 NA from Sep 2020 (Median) to Apr 2025, with 56 observations. The data reached an all-time high of 1,670.380 NA in Feb 2025 and a record low of 944.510 NA in Oct 2020. NASDAQ: Index: Total Return: NASDAQ US Benchmark Financial Data Providers Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Total Return: Monthly.

  3. United States NASDAQ: Index: NASDAQ US Benchmark Health Care Providers Index...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States NASDAQ: Index: NASDAQ US Benchmark Health Care Providers Index [Dataset]. https://www.ceicdata.com/en/united-states/nasdaq-monthly/nasdaq-index-nasdaq-us-benchmark-health-care-providers-index
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    United States NASDAQ: Index: NASDAQ US Benchmark Health Care Providers Index data was reported at 1,278.330 NA in Apr 2025. This records a decrease from the previous number of 1,434.390 NA for Mar 2025. United States NASDAQ: Index: NASDAQ US Benchmark Health Care Providers Index data is updated monthly, averaging 1,386.010 NA from Oct 2020 (Median) to Apr 2025, with 55 observations. The data reached an all-time high of 1,641.193 NA in Aug 2024 and a record low of 994.270 NA in Oct 2020. United States NASDAQ: Index: NASDAQ US Benchmark Health Care Providers Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Monthly.

  4. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
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    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.

  5. United States NASDAQ: Index: NASDAQ US Benchmark Financial Data Providers...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States NASDAQ: Index: NASDAQ US Benchmark Financial Data Providers Index [Dataset]. https://www.ceicdata.com/en/united-states/nasdaq-monthly/nasdaq-index-nasdaq-us-benchmark-financial-data-providers-index
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    United States NASDAQ: Index: NASDAQ US Benchmark Financial Data Providers Index data was reported at 1,479.680 NA in Apr 2025. This records a decrease from the previous number of 1,520.170 NA for Mar 2025. United States NASDAQ: Index: NASDAQ US Benchmark Financial Data Providers Index data is updated monthly, averaging 1,231.780 NA from Oct 2020 (Median) to Apr 2025, with 55 observations. The data reached an all-time high of 1,607.500 NA in Feb 2025 and a record low of 942.010 NA in Sep 2022. United States NASDAQ: Index: NASDAQ US Benchmark Financial Data Providers Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Monthly.

  6. Hydrogen Price Benchmark Index Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jul 5, 2025
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    Growth Market Reports (2025). Hydrogen Price Benchmark Index Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/hydrogen-price-benchmark-index-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jul 5, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Hydrogen Price Benchmark Index Market Outlook



    According to our latest research, the global Hydrogen Price Benchmark Index market size reached USD 1.32 billion in 2024, reflecting a robust expansion across key sectors. The market is projected to grow at a CAGR of 11.7% from 2025 to 2033, with an anticipated value of USD 3.62 billion by 2033. This impressive growth is primarily fueled by the increasing adoption of hydrogen as a clean energy carrier, the advancement of hydrogen production technologies, and the rising demand for transparent pricing mechanisms to facilitate market development and investment confidence.




    The growth trajectory of the Hydrogen Price Benchmark Index market is underpinned by the global shift towards decarbonization and the urgent need to reduce greenhouse gas emissions. As governments and industries intensify their commitments to net-zero targets, hydrogen emerges as a pivotal solution for deep decarbonization, especially in hard-to-abate sectors such as chemical manufacturing, steel production, and transportation. The establishment of accurate and reliable hydrogen price benchmarks is crucial for fostering market transparency, enabling fair competition, and attracting capital into hydrogen infrastructure projects. Furthermore, the increasing investments in green hydrogen projects and the scaling up of electrolyzer capacities are creating a dynamic pricing environment, necessitating standardized indices to guide stakeholders in procurement, trading, and long-term planning.




    Another significant growth driver is the rapid technological advancements in hydrogen production, storage, and distribution. Innovations in electrolysis, carbon capture, and renewable energy integration are reducing the cost differential between grey, blue, and green hydrogen, thereby expanding the commercial viability of low-carbon hydrogen solutions. The Hydrogen Price Benchmark Index market is also benefiting from the proliferation of pilot projects and demonstration plants, which generate valuable data for index formulation and refinement. Additionally, the increasing participation of multinational energy companies, trading houses, and financial institutions in hydrogen markets is spurring the demand for transparent and widely accepted price benchmarks, further accelerating market development and liquidity.




    Policy support and regulatory frameworks are playing an instrumental role in shaping the Hydrogen Price Benchmark Index market. Governments across major economies are introducing incentives, subsidies, and mandates to stimulate hydrogen adoption and infrastructure buildout. The European Union’s Hydrogen Strategy, the U.S. Department of Energy’s Hydrogen Shot, and similar initiatives in Asia Pacific are catalyzing cross-border collaborations and standardization efforts. These policy measures are not only boosting production and consumption but also fostering the harmonization of pricing methodologies and reporting standards. As a result, market participants are increasingly relying on hydrogen price benchmarks to navigate regulatory complexities, optimize supply chains, and manage risks associated with price volatility and market fragmentation.




    Regionally, Europe and Asia Pacific are at the forefront of the Hydrogen Price Benchmark Index market, driven by ambitious climate policies, substantial investments in renewable energy, and the presence of leading hydrogen technology providers. North America is rapidly catching up, propelled by federal and state-level initiatives, while the Middle East and Latin America are leveraging their abundant renewable resources to position themselves as emerging hydrogen exporters. The interplay of regional supply-demand dynamics, policy landscapes, and infrastructure readiness is shaping the evolution of hydrogen price indices, with localized benchmarks gaining prominence alongside global indices. This regional diversity underscores the importance of adaptable and robust pricing frameworks to support the global hydrogen economy.





    Type Analysis



    The Hydrog

  7. b

    S&P Global Market Cap

    • bullfincher.io
    + more versions
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    Bullfincher, S&P Global Market Cap [Dataset]. https://bullfincher.io/companies/sp-global/market-cap
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    Dataset authored and provided by
    Bullfincher
    License

    https://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy

    Description

    S&P Global Inc., together with its subsidiaries, provides credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. It operates in six divisions: S&P Global Ratings, S&P Dow Jones Indices, S&P Global Commodity Insights, S&P Global Market Intelligence, S&P Global Mobility, and S&P Global Engineering Solutions. The S&P Global Ratings division operates as an independent provider of credit ratings, research, and analytics, offering investors and other market participants information, ratings, and benchmarks. The S&P Dow Jones Indices division is an index provider that maintains various valuation and index benchmarks for investment advisors, wealth managers, and institutional investors. The S&P Global Commodity Insights division offers data and insights for global energy and commodity markets and enable its customers to make decisions. The S&P Global Market Intelligence division delivers data and technology solutions for customers to provide insights for making decisions. It offers data and services that bring end-to-end workflow solutions, including capital formation, data and distribution, ESG and sustainability, leveraged loans, private markets, sector coverage, supply chain, and issuer solutions, as well as credit, risk, and regulatory solutions. The S&P Global Mobility division provides insights derived from unmatched automotive data, enabling its customers to anticipate change and make decisions. The S&P Global Engineering Solutions division offers engineering expertise and solutions in industries, such as aerospace and defense, energy, architecture, construction, and transportation. Its solutions empower business and technical leaders to transform workflows and make decisions. S&P Global Inc. was founded in 1860 and is headquartered in New York, New York.

  8. a

    Llama 4 Maverick Output Speed by Provider

    • artificialanalysis.ai
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    Artificial Analysis, Llama 4 Maverick Output Speed by Provider [Dataset]. https://artificialanalysis.ai/
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    Authors
    Artificial Analysis
    Description

    Comparison of Output Speed: Output Tokens per Second by Provider

  9. General Index

    • eulerpool.com
    Updated Jul 12, 2025
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    Eulerpool (2025). General Index [Dataset]. https://eulerpool.com/en/data-analytics/financial-data/commodities-data/general-index
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    Dataset updated
    Jul 12, 2025
    Dataset provided by
    Eulerpool.com
    Authors
    Eulerpool
    Description

    General Index delivers strong and dependable price clarity for global commodity markets. As the pioneering tech-focused benchmark provider, General Index gathers and compiles trade information to create a comprehensive picture of market activities, then employs algorithmic index methods that are precise, consistent, and unbiased. Our energy market coverage spans crude oil, refined products, and LPG in regions including Asia, the EU, and the US. Our benchmarks serve as a modern alternative to traditional journalistic ones, reflecting both current market conditions and future trading trends. General Index is based in London, with additional offices in Houston and Singapore, and a global team.

  10. Data from: Identifying patterns and recommendations of and for sustainable...

    • zenodo.org
    • data.niaid.nih.gov
    bin, csv, txt
    Updated Jan 12, 2024
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    Anastasija Nikiforova; Anastasija Nikiforova; Martin Lnenicka; Martin Lnenicka (2024). Identifying patterns and recommendations of and for sustainable open data initiatives: a benchmarking-driven analysis of open government data initiatives among European countries [Dataset]. http://doi.org/10.5281/zenodo.10231025
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    csv, bin, txtAvailable download formats
    Dataset updated
    Jan 12, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Anastasija Nikiforova; Anastasija Nikiforova; Martin Lnenicka; Martin Lnenicka
    License

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

    Description

    This dataset contains data collected during a study "Identifying patterns and recommendations of and for sustainable open data initiatives: a benchmarking-driven analysis of open government data initiatives among European countries" conducted by Martin Lnenicka (University of Pardubice, Pardubice, Czech Republic), Anastasija Nikiforova (University of Tartu, Tartu, Estonia), Mariusz Luterek (University of Warsaw, Warsaw, Poland), Petar Milic (University of Pristina - Kosovska Mitrovica, Kosovska Mitrovica, Serbia), Daniel Rudmark (University of Gothenburg and RISE Research Institutes of Sweden, Gothenburg, Sweden), Sebastian Neumaier (St. Pölten University of Applied Sciences, Austria), Caterina Santoro (KU Leuven, Leuven, Belgium), Cesar Casiano Flores (University of Twente, Twente, the Netherlands), Marijn Janssen (Delft University of Technology, Delft, the Netherlands), Manuel Pedro Rodríguez Bolívar (University of Granada, Granada, Spain).

    It is being made public both to act as supplementary data for "Identifying patterns and recommendations of and for sustainable open data initiatives: a benchmarking-driven analysis of open government data initiatives among European countries", Government Information Quarterly*, and in order for other researchers to use these data in their own work.

    ***Methodology***

    The paper focuses on benchmarking of open data initiatives over the years and attempts to identify patterns observed among European countries that could lead to disparities in the development, growth, and sustainability of open data ecosystems.

    This study examines existing benchmarks, indices, and rankings of open (government) data initiatives to find the contexts by which these initiatives are shaped, both of which then outline a protocol to determine the patterns. The composite benchmarks-driven analytical protocol is used as an instrument to examine the understanding, effects, and expert opinions concerning the development patterns and current state of open data ecosystems implemented in eight European countries - Austria, Belgium, Czech Republic, Italy, Latvia, Poland, Serbia, Sweden. 3-round Delphi method is applied to identify, reach a consensus, and validate the observed development patterns and their effects that could lead to disparities and divides. Specifically, this study conducts a comparative analysis of different patterns of open (government) data initiatives and their effects in the eight selected countries using six open data benchmarks, two e-government reports (57 editions in total), and other relevant resources, covering the period of 2013–2022.

    ***Description of the data in this data set***

    The file "OpenDataIndex_2013_2022" collects an overview of 27 editions of 6 open data indices - for all countries they cover, providing respective ranks and values for these countries. These indices are:

    1) Global Open Data Index (GODI) (4 editions)

    2) Open Data Maturity Report (ODMR) (8 editions)

    3) Open Data Inventory (ODIN) (6 editions)

    4) Open Data Barometer (ODB) (5 editions)

    5) Open, Useful and Re-usable data (OURdata) Index (3 editions)

    6) Open Government Development Index (OGDI) (2 editions)

    These data shapes the third context - open data indices and rankings. The second sheet of this file covers countries covered by this study, namely, Austria, Belgium, Czech Republic, Italy, Latvia, Poland, Serbia, Sweden. It serves the basis for Section 4.2 of the paper.

    Based on the analysis of selected countries, incl. the analysis of their specifics and performance over the years in the indices and benchmarks, covering 57 editions of OGD-oriented reports and indices and e-government-related reports (2013-2022) that shaped a protocol (see paper, Annex 1), 102 patterns that may lead to disparities and divides in the development and benchmarking of ODEs were identified, which after the assessment by expert panel were reduced to a final number of 94 patterns representing four contexts, from which the recommendations defined in the paper were obtained. These patterns are available in the file "OGDdevelopmentPatterns". The first sheet contains the list of patterns, while the second sheet - the list of patterns and their effect as assessed by expert panel.

    ***Format of the file***
    .xls, .csv (for the first spreadsheet only)

    ***Licenses or restrictions***
    CC-BY

    For more info, see README.txt

  11. K

    Benchmark of Fusion Index determination programs

    • rdr.kuleuven.be
    bin, jpeg, png, tiff +2
    Updated May 17, 2024
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    Antoine Weisrock; Antoine Weisrock; Rebecca Wüst; Rebecca Wüst; Maria Olenic; Maria Olenic; Lieven Thorrez; Lieven Thorrez (2024). Benchmark of Fusion Index determination programs [Dataset]. http://doi.org/10.48804/SG8YVO
    Explore at:
    png(607332), bin(11638432), png(2051338), jpeg(618897), png(1517891), jpeg(562966), tiff(5472220), jpeg(458098), png(2450817), tiff(5714538), bin(11651680), png(1078848), png(950740), jpeg(464089), png(1274080), png(2753488), png(1660982), png(2010403), png(1947967), png(1417686), tiff(4460912), png(585026), png(1214350), png(473402), jpeg(475677), bin(3155872), jpeg(787533), tiff(3567960), png(2018509), tiff(3178342), png(583073), jpeg(231915), png(998937), bin(11427968), tiff(4893692), png(1785123), png(241757), tiff(5282532), txt(2771), png(357178), jpeg(797427), png(1877107), bin(11427456), bin(11426592), jpeg(577317), png(1915389), bin(11627360), jpeg(877973), png(1490864), png(1799664), tiff(5025514), bin(11424864), tiff(1523588), bin(3137024), bin(3158240), png(2552243), bin(3137792), jpeg(756786), jpeg(607220), bin(11425664), bin(11426240), png(481306), png(1596648), png(445591), jpeg(775308), png(2478780), bin(11460256), png(2785510), tiff(3324262), png(1637321), png(1005763), jpeg(645492), bin(11425184), jpeg(204188), bin(11428000), bin(11626080), tiff(5164612), jpeg(203692), tiff(6550742), tiff(1167424), png(2288742), bin(11626112), png(1117379), png(1107122), png(1962107), tiff(1459352), tiff(3852578), tiff(6498660), jpeg(503726), png(1661186), tiff(6652968), jpeg(788162), bin(11427904), jpeg(147353), tiff(5671268), bin(11422048), png(2488896), png(1204976), png(1995281), jpeg(783482), png(857877), jpeg(348206), tiff(4370598), jpeg(820695), png(535912), jpeg(962323), jpeg(536901), bin(11422144), tiff(4435496), bin(11420992), jpeg(559667), tiff(6110154), jpeg(415763), tiff(5914750), bin(11421280), png(3133395), png(1274430), tiff(4872582), bin(11424384), bin(11419744), png(2812588), png(1444246), jpeg(869669), bin(11416800), png(3032677), bin(11423168), png(1476089), jpeg(885617), png(1763816), png(620303), jpeg(538169), jpeg(403154), bin(11418368), png(1452511), png(306131), tiff(5940868), bin(11420704), bin(11419456), xlsx(128756), bin(11421472), tiff(6894774), bin(11419872), tiff(4857824), jpeg(811865), tiff(1105220), tiff(4344600), tiff(6707554), png(830488), png(2611516), jpeg(180203), bin(11418912), jpeg(353604), png(951843), tiff(6570040), png(1030319), tiff(5894326), jpeg(904243), png(2024772), png(1534802), png(714874), png(1125019), png(1670877), bin(11421184), png(800627), jpeg(569955), png(2335227), png(1073854), png(730826), tiff(6568796), tiff(5934982), png(669635), tiff(6024808), tiff(5238720), xlsx(10601), png(2095547), png(2992787), png(1089644)Available download formats
    Dataset updated
    May 17, 2024
    Dataset provided by
    KU Leuven RDR
    Authors
    Antoine Weisrock; Antoine Weisrock; Rebecca Wüst; Rebecca Wüst; Maria Olenic; Maria Olenic; Lieven Thorrez; Lieven Thorrez
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    This dataset was used for writing an article introducing a novel software for the automated computation of the fusion index on microscopy images of fluoresence-stained myoblast cultures. It contains : - The raw images that were used for benchmarking the existing software solutions and the manual counting method - An Excel file gathering the collected results from the investigators, as well as the statistical analysis performed on this data

  12. T

    Sweden Stock Market Index Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 25, 2024
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    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 24, 2025
    Area covered
    Sweden
    Description

    Sweden's main stock market index, the Stockholm, rose to 2600 points on July 24, 2025, gaining 0.30% from the previous session. Over the past month, the index has climbed 6.38% and is up 1.48% 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.

  13. a

    Llama 4 Maverick (FP8) Pricing: Input and Output by Provider

    • artificialanalysis.ai
    + more versions
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    Artificial Analysis, Llama 4 Maverick (FP8) Pricing: Input and Output by Provider [Dataset]. https://artificialanalysis.ai/
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    Authors
    Artificial Analysis
    Description

    Comparison of Price: USD per 1M Tokens; Lower is better by Provider

  14. T

    Italy Stock Market Index (IT40) Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 24, 2025
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    TRADING ECONOMICS (2025). Italy Stock Market Index (IT40) Data [Dataset]. https://tradingeconomics.com/italy/stock-market
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    Jul 24, 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
    Dec 31, 1997 - Jul 24, 2025
    Area covered
    Italy
    Description

    Italy's main stock market index, the IT40, fell to 40552 points on July 24, 2025, losing 0.36% from the previous session. Over the past month, the index has climbed 3.13% and is up 20.08% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Italy. Italy Stock Market Index (IT40) - values, historical data, forecasts and news - updated on July of 2025.

  15. T

    France Stock Market Index (FR40) Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, France Stock Market Index (FR40) Data [Dataset]. https://tradingeconomics.com/france/stock-market
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jul 9, 1987 - Jul 22, 2025
    Area covered
    France
    Description

    France's main stock market index, the FR40, fell to 7744 points on July 22, 2025, losing 0.69% from the previous session. Over the past month, the index has climbed 2.74% and is up 1.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on July of 2025.

  16. U

    United States NASDAQ: Index: NASDAQ US Benchmark Telecommunications Service...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States NASDAQ: Index: NASDAQ US Benchmark Telecommunications Service Providers Index [Dataset]. https://www.ceicdata.com/en/united-states/nasdaq-monthly/nasdaq-index-nasdaq-us-benchmark-telecommunications-service-providers-index
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Description

    United States NASDAQ: Index: NASDAQ US Benchmark Telecommunications Service Providers Index data was reported at 1,112.500 NA in Apr 2025. This records a decrease from the previous number of 1,157.210 NA for Mar 2025. United States NASDAQ: Index: NASDAQ US Benchmark Telecommunications Service Providers Index data is updated monthly, averaging 1,125.935 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 1,391.170 NA in Aug 2021 and a record low of 809.580 NA in Sep 2022. United States NASDAQ: Index: NASDAQ US Benchmark Telecommunications Service Providers Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Monthly.

  17. T

    Argentina Stock Market (MERVAL) Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Argentina Stock Market (MERVAL) Data [Dataset]. https://tradingeconomics.com/argentina/stock-market
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    excel, json, csv, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 3, 1991 - Jul 22, 2025
    Area covered
    Argentina
    Description

    Argentina's main stock market index, the Merval, fell to 2013397 points on July 22, 2025, losing 1.42% from the previous session. Over the past month, the index has climbed 1.84% and is up 23.09% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Argentina. Argentina Stock Market (MERVAL) - values, historical data, forecasts and news - updated on July of 2025.

  18. a

    Math Index by Models Model

    • artificialanalysis.ai
    Updated May 15, 2025
    + more versions
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    Artificial Analysis (2025). Math Index by Models Model [Dataset]. https://artificialanalysis.ai/models
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    Dataset updated
    May 15, 2025
    Authors
    Artificial Analysis
    Description

    Comparison of Represents the average of math benchmarks in the Artificial Analysis Intelligence Index (AIME 2024 & Math-500) by Model

  19. a

    Coding Index by Models Model

    • artificialanalysis.ai
    Updated May 15, 2025
    + more versions
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    Artificial Analysis (2025). Coding Index by Models Model [Dataset]. https://artificialanalysis.ai/models
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    Dataset updated
    May 15, 2025
    Authors
    Artificial Analysis
    Description

    Comparison of Represents the average of coding benchmarks in the Artificial Analysis Intelligence Index (LiveCodeBench & SciCode) by Model

  20. Value of MSCI World USD index 1986-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 25, 2025
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    Statista (2025). Value of MSCI World USD index 1986-2024 [Dataset]. https://www.statista.com/statistics/276225/annual-trend-of-the-msci-world-index-since-1969/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The statistic shows the development of the MSCI World USD Index from 1986 to 2024. The 2024 year-end value of the MSCI World USD index amounted to ******** points. MSCI World USD index – additional information The MSCI World Index, developed by Morgan Stanley Capital International (MSCI), is one of the most important stock indices. It includes stocks from developed countries all over the world and is regarded as benchmark of global stock market. According to MSCI, this index covers about ** percent of the free float-adjusted market capitalization in each country. As seen on the statistics above, in 2024, MSCI World USD index reported its highest value since 1986 amounting, a threefold increase from the figure recorded in 2013, when the year-end value of the MSCI World index was equal to ********. Along with the S&P Global Broad Market, the MSCI World is one of the most important global stock market performance indexes. Aside of including markets around the globe, these two indexes are global in a sense that they disregard where the companies are domiciled or traded, whereas other important indexes such as the Dow Jones Industrial Average, the Japanese index Nikkei 225, Wilshire 5000, the NASDAQ 100 index, have different approaches.

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Link copied
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Exchange Data International, Indices Data | Stock & Bonds Indices | Benchmark | Constituents [Dataset]. https://datarade.ai/data-products/edi-index-benchmark-constituents-components-for-over-300-exchange-data-international

Indices Data | Stock & Bonds Indices | Benchmark | Constituents

Explore at:
.xml, .csv, .txtAvailable download formats
Dataset authored and provided by
Exchange Data International
Area covered
Croatia, Egypt, Venezuela (Bolivarian Republic of), Korea (Republic of), Slovenia, Russian Federation, Sweden, Canada, Iceland, Bulgaria
Description

EDI tracks and collects index notifications from a wide range of index providers and covers many financial market indices, including stock and bond indices as well as economic indicators. Components for over 6000 Indices worldwide

Indices Data. The components are updated daily. Historical components lists are available based on legal advice. Index components weighting are not offered.

Using the EDI SFTP Server, you will receive the daily index composition of the indices that you subscribe to. The files are provided as txt.csv or xls format. EDI provides a free coverage check and samples of the index components that are of interest to you.

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