100+ datasets found
  1. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 12, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 12, 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 19, 1990 - Jul 11, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3510 points on July 11, 2025, gaining 0.01% from the previous session. Over the past month, the index has climbed 3.16% and is up 18.14% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  2. Sweden Net Barter Terms of Trade Index

    • ceicdata.com
    Updated Jul 26, 2018
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    CEICdata.com (2018). Sweden Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/sweden/trade-index
    Explore at:
    Dataset updated
    Jul 26, 2018
    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
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Sweden
    Variables measured
    Merchandise Trade
    Description

    Net Barter Terms of Trade Index data was reported at 99.930 2015=100 in 2021. This records an increase from the previous number of 99.062 2015=100 for 2020. Net Barter Terms of Trade Index data is updated yearly, averaging 100.967 2015=100 from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 108.386 2015=100 in 2001 and a record low of 97.159 2015=100 in 2018. Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  3. Croatia Import Volume Index

    • ceicdata.com
    Updated Feb 27, 2018
    + more versions
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    CEICdata.com (2018). Croatia Import Volume Index [Dataset]. https://www.ceicdata.com/en/croatia/trade-index
    Explore at:
    Dataset updated
    Feb 27, 2018
    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
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Croatia
    Variables measured
    Merchandise Trade
    Description

    Import Volume Index data was reported at 130.173 2015=100 in 2021. This records an increase from the previous number of 118.805 2015=100 for 2020. Import Volume Index data is updated yearly, averaging 95.285 2015=100 from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 130.173 2015=100 in 2021 and a record low of 51.203 2015=100 in 2000. Import Volume Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Croatia – Table HR.World Bank.WDI: Trade Index. Import volume indexes are derived from UNCTAD's volume index series and are the ratio of the import value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year’s trade values as weights. For economies for which UNCTAD does not publish data, the import volume indexes (lines 73) in the IMF's International Financial Statistics are used.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  4. F

    Trade Weighted U.S. Dollar Index: Other Important Trading Partners, Goods...

    • fred.stlouisfed.org
    json
    Updated Jan 6, 2020
    + more versions
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    (2020). Trade Weighted U.S. Dollar Index: Other Important Trading Partners, Goods (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/TWEXO
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 6, 2020
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Trade Weighted U.S. Dollar Index: Other Important Trading Partners, Goods (DISCONTINUED) (TWEXO) from 1995-01-04 to 2020-01-01 about trade-weighted, trade, exchange rate, currency, goods, rate, indexes, and USA.

  5. Bangladesh BD: Net Barter Terms of Trade Index

    • ceicdata.com
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    CEICdata.com, Bangladesh BD: Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/bangladesh/trade-index/bd-net-barter-terms-of-trade-index
    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
    Dec 1, 2009 - Dec 1, 2020
    Area covered
    Bangladesh
    Variables measured
    Merchandise Trade
    Description

    Bangladesh BD: Net Barter Terms of Trade Index data was reported at 68.332 2000=100 in 2020. This records an increase from the previous number of 65.803 2000=100 for 2019. Bangladesh BD: Net Barter Terms of Trade Index data is updated yearly, averaging 103.596 2000=100 from Dec 1980 (Median) to 2020, with 41 observations. The data reached an all-time high of 162.264 2000=100 in 1985 and a record low of 57.575 2000=100 in 2011. Bangladesh BD: Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  6. U

    United States Net Barter Terms of Trade Index

    • ceicdata.com
    Updated Apr 27, 2010
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    CEICdata.com (2010). United States Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/united-states/trade-index/net-barter-terms-of-trade-index
    Explore at:
    Dataset updated
    Apr 27, 2010
    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
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    United States
    Variables measured
    Merchandise Trade
    Description

    United States Net Barter Terms of Trade Index data was reported at 104.655 2015=100 in 2021. This records an increase from the previous number of 100.000 2015=100 for 2020. United States Net Barter Terms of Trade Index data is updated yearly, averaging 100.042 2015=100 from Dec 1980 (Median) to 2021, with 42 observations. The data reached an all-time high of 105.128 2015=100 in 1995 and a record low of 91.765 2015=100 in 1985. United States Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  7. Albania Net Barter Terms of Trade Index

    • ceicdata.com
    Updated Feb 7, 2018
    + more versions
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    CEICdata.com (2018). Albania Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/albania/trade-index
    Explore at:
    Dataset updated
    Feb 7, 2018
    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
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Albania
    Variables measured
    Merchandise Trade
    Description

    Net Barter Terms of Trade Index data was reported at 103.722 2015=100 in 2021. This records a decrease from the previous number of 103.929 2015=100 for 2020. Net Barter Terms of Trade Index data is updated yearly, averaging 102.143 2015=100 from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 108.143 2015=100 in 2000 and a record low of 97.753 2015=100 in 2009. Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Albania – Table AL.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  8. R

    Russia Export Value Index

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Russia Export Value Index [Dataset]. https://www.ceicdata.com/en/russia/trade-index/export-value-index
    Explore at:
    Dataset updated
    Jan 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
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Russia
    Variables measured
    Merchandise Trade
    Description

    Russia Export Value Index data was reported at 144.638 2015=100 in 2021. This records an increase from the previous number of 97.644 2015=100 for 2020. Russia Export Value Index data is updated yearly, averaging 88.909 2015=100 from Dec 1995 (Median) to 2021, with 27 observations. The data reached an all-time high of 155.017 2015=100 in 2012 and a record low of 21.804 2015=100 in 1998. Russia Export Value Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Russian Federation – Table RU.World Bank.WDI: Trade Index. Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's export value indexes are reported for most economies.;United Nations Conference on Trade and Development;;

  9. Czech Republic Net Barter Terms of Trade Index

    • ceicdata.com
    Updated Feb 27, 2018
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    CEICdata.com (2018). Czech Republic Net Barter Terms of Trade Index [Dataset]. https://www.ceicdata.com/en/czech-republic/trade-index
    Explore at:
    Dataset updated
    Feb 27, 2018
    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
    Dec 1, 2010 - Dec 1, 2021
    Area covered
    Czechia
    Variables measured
    Merchandise Trade
    Description

    Net Barter Terms of Trade Index data was reported at 98.853 2015=100 in 2021. This records a decrease from the previous number of 100.804 2015=100 for 2020. Net Barter Terms of Trade Index data is updated yearly, averaging 100.219 2015=100 from Dec 2000 (Median) to 2021, with 22 observations. The data reached an all-time high of 105.798 2015=100 in 2004 and a record low of 97.302 2015=100 in 2000. Net Barter Terms of Trade Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.World Bank.WDI: Trade Index. Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD's estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates and calculates unit value indexes at the country level using the current year's trade values as weights.;United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics.;;

  10. Leading global equity index futures and options contracts traded 2023, by...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Leading global equity index futures and options contracts traded 2023, by volume [Dataset]. https://www.statista.com/statistics/380482/leading-equity-index-futures-options-by-volume/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, the leading equity index futures and options contract traded worldwide based on volume was Bank Nifty Index Options, traded on the National Stock Exchange of India. Over the year a total of ** billion Bank Nifty Index Options contracts were traded - over ** million more than second-placed CNX Nifty Index Options, also traded on the National Stock Exchange of India.

  11. F

    Index of Industrial Production and Trade for United States

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
    + more versions
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    (2012). Index of Industrial Production and Trade for United States [Dataset]. https://fred.stlouisfed.org/series/M1204AUSM516SNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Index of Industrial Production and Trade for United States (M1204AUSM516SNBR) from Jan 1875 to Dec 1915 about trade, IP, indexes, and USA.

  12. T

    Baltic Exchange Dry Index - Price Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 26, 2017
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    TRADING ECONOMICS (2017). Baltic Exchange Dry Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/baltic
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    May 26, 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 4, 1985 - Jul 11, 2025
    Area covered
    World
    Description

    Baltic Dry rose to 1,663 Index Points on July 11, 2025, up 13.52% from the previous day. Over the past month, Baltic Dry's price has fallen 15.50%, and is down 16.73% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Baltic Exchange Dry Index - values, historical data, forecasts and news - updated on July of 2025.

  13. P

    Services Trade Restrictions Index

    • pacificdata.org
    • pacific-data.sprep.org
    csv
    Updated Nov 14, 2023
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    SPC (2023). Services Trade Restrictions Index [Dataset]. https://pacificdata.org/data/dataset/services-trade-restrictions-index-df-stri
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    csvAvailable download formats
    Dataset updated
    Nov 14, 2023
    Dataset provided by
    SPC
    Time period covered
    Jan 1, 2021 - Dec 31, 2021
    Description

    These indices collected from PACER Plus provide a measure of restrictiveness of trade in services in Pacific Island Countries and Territories.

    Find more Pacific data on PDH.stat.

  14. Maritime Silk Road Trade: monthly Belt and Road Trade Index 2019-2025, by...

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Maritime Silk Road Trade: monthly Belt and Road Trade Index 2019-2025, by type [Dataset]. https://www.statista.com/statistics/1319669/monthly-china-maritime-silk-road-belt-and-road-trade-index-by-type/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2019 - Apr 2025
    Area covered
    China
    Description

    In April 2025, the China Maritime Silk Road Trade Index (STI) showed that the import and export trade indices to countries along the 'Belt and Road' project were ****** and ****** points, respectively. The STI 'Belt and Road' export index increased by more than *** percent over the previous month, while the STI 'Belt and Road' import index declined by almost ** percent over the previous month and by almost *** percent year-on-year.

  15. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, 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 5, 1965 - Jul 11, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, fell to 39570 points on July 11, 2025, losing 0.19% from the previous session. Over the past month, the index has climbed 3.66%, though it remains 3.94% lower than a year ago, 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 July of 2025.

  16. T

    Brazil Stock Market (BOVESPA) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 1, 2002
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    TRADING ECONOMICS (2002). Brazil Stock Market (BOVESPA) Data [Dataset]. https://tradingeconomics.com/brazil/stock-market
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Feb 1, 2002
    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 25, 1988 - Jul 11, 2025
    Area covered
    Brazil
    Description

    Brazil's main stock market index, the IBOVESPA, fell to 136187 points on July 11, 2025, losing 0.41% from the previous session. Over the past month, the index has declined 1.17%, though it remains 5.66% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Brazil. Brazil Stock Market (BOVESPA) - values, historical data, forecasts and news - updated on July of 2025.

  17. Monthly development DAX Index 2015-2025

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Monthly development DAX Index 2015-2025 [Dataset]. https://www.statista.com/statistics/261678/annual-dax-trends-since-1987/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Feb 2025
    Area covered
    Germany
    Description

    At the end of February 2025, the DAX index reached ********* points, marking its highest level since January 2015. Moreover, this also reflected a strong recovery from the global coronavirus (COVID-19) pandemic, having risen from ******** points at the end of March 2020 and surpassing its pre-pandemic level of approximately ********* points at the end of December 2019. Origin and composition of the DAX Index The DAX (Deutscher Aktienindex) is the most important German stock index, showing the value trends of the 40 largest companies by market capitalization listed on the Frankfurt stock exchange. The DAX index was introduced on July 1, 1988 and is a continuation of the Börsen-Zeitung Index, established in 1959. The count among their number some of the most recognizable companies in the world, such as carmakers Volkswagen and Daimler, sportswear brand adidas, and industrial giants Siemens and BASF. After the DAX, the 50 next-largest German companies are included in the midcap MDAX index, while the 70 next-largest small and medium-sized German companies (ranked from 91 to 160) are included in the SDAX index. The Frankfurt Stock Exchange All the companies included in the DAX family of indices are traded on the Frankfurt Stock Exchange. Dating back to 1585, the Frankfurt Stock Exchange is considered to be the oldest exchange in the world. It is the twelfth largest stock exchange in the world in terms of market capitalization, and accounts for around ** percent of all equity trading in Germany. Two main trading venues comprise the Frankfurt Stock Exchange: the Börse Frankfurt is a traditional trading floor; while the Xetra is an electronic trading system which accounts for the vast majority of trading volume on Frankfurt Stock Exchange. As of December 2023, the total market capitalization of all companies listed on the Frankfurt Stock Exchange was around *** trillion euros.

  18. Trade unit value indices, by reporting country

    • data.europa.eu
    • db.nomics.world
    • +1more
    csv, html, tsv, xml
    + more versions
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    Eurostat, Trade unit value indices, by reporting country [Dataset]. https://data.europa.eu/data/datasets/yqbjeekqgighqoprewkzrg?locale=en
    Explore at:
    xml, tsv(2395), csv, htmlAvailable download formats
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Description

    Monthly raw data are processed at the most detailed level in order to calculate elementary unit-values defined by trade value/quantity. These unit-values are divided by the average unit-value of the previous year to obtain elementary unit-value indices, from which outliers are detected and removed. Elementary unit-value indices are then aggregated over countries and commodities, by using the Laspeyres, Paasche and Fisher formulae. Finally, the Fisher unit-value indices are chained back to the reference year (2015 = 100) and are used to approximate the import and export price movements.

  19. F

    Retail Trade Index for United States

    • fred.stlouisfed.org
    json
    Updated Aug 17, 2012
    + more versions
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    (2012). Retail Trade Index for United States [Dataset]. https://fred.stlouisfed.org/series/M0601BUSM326NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 17, 2012
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Retail Trade Index for United States (M0601BUSM326NNBR) from Jan 1919 to Dec 1927 about retail trade, sales, retail, indexes, and USA.

  20. d

    Crypto Index Data | Volatility Index | CAPIVIX for BTC/USD & ETH/USD |...

    • datarade.ai
    .json, .csv
    Updated Jan 10, 2025
    + more versions
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    CoinAPI (2025). Crypto Index Data | Volatility Index | CAPIVIX for BTC/USD & ETH/USD | Bitcoin & Ethereum VIX Data [Dataset]. https://datarade.ai/data-products/coinapi-crypto-index-data-capivix-volatility-for-btc-usd-a-coinapi
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    .json, .csvAvailable download formats
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    CoinAPI
    Area covered
    Turks and Caicos Islands, Mauritania, Macao, French Southern Territories, Yemen, British Indian Ocean Territory, Estonia, Spain, Costa Rica, Kiribati
    Description

    The CAPIVIX Index gives crypto traders something traditional markets have long relied on - a clear measure of expected market volatility. Think of it as the VIX for Bitcoin and Ethereum, showing what the market anticipates for price swings over the next 30 days.

    This crypto volatility index tracks market sentiment for BTC/USD and ETH/USD pairs by analyzing options data from major derivatives exchanges. When CAPIVIX rises, it signals increased uncertainty and potential turbulence ahead. When it falls, markets are expecting calmer conditions.

    What makes CAPIVIX valuable is its methodology - we've adapted the widely-trusted VIX calculation approach to work specifically with cryptocurrency options. This gives you a standardized way to gauge market anxiety or confidence across different market conditions.

    The index updates continuously throughout trading hours, incorporating real-time options pricing to reflect the market's evolving risk perception. For traders and investors looking to understand market sentiment beyond price movements alone, CAPIVIX provides that crucial additional dimension of market intelligence.

    ➡️ Why choose us?

    📊 Market Coverage & Data Types: ◦ Real-time and historical data since 2010 (for chosen assets) ◦ Full order book depth (L2/L3) ◦ Trade-by-trade 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 ◦ Bitcoin Price Data

    🔧 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 hedging positions, timing entries and exits, or just wanting to better understand market psychology, our Bitcoin and Ethereum volatility data offers valuable insights into what the market collectively expects in the weeks ahead.

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TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market

China Shanghai Composite Stock Market Index Data

China Shanghai Composite Stock Market Index - Historical Dataset (1990-12-19/2025-07-11)

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15 scholarly articles cite this dataset (View in Google Scholar)
xml, csv, excel, jsonAvailable download formats
Dataset updated
Jun 12, 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 19, 1990 - Jul 11, 2025
Area covered
China
Description

China's main stock market index, the SHANGHAI, rose to 3510 points on July 11, 2025, gaining 0.01% from the previous session. Over the past month, the index has climbed 3.16% and is up 18.14% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

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