100+ datasets found
  1. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +11more
    csv, excel, json, xml
    Updated Oct 14, 2025
    + more versions
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    TRADING ECONOMICS (2024). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Oct 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 3, 1928 - Oct 14, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, fell to 6650 points on October 14, 2025, losing 0.07% from the previous session. Over the past month, the index has climbed 0.53% and is up 14.36% 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 October of 2025.

  2. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 10, 2025
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    TRADING ECONOMICS (2025). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Oct 10, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 5, 1965 - Oct 14, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, fell to 46858 points on October 14, 2025, losing 2.56% from the previous session. Over the past month, the index has climbed 4.36% and is up 17.41% 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 October of 2025.

  3. T

    Taiwan TWSE: Equity Market Index: Trading & Consumers' Goods

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan TWSE: Equity Market Index: Trading & Consumers' Goods [Dataset]. https://www.ceicdata.com/en/taiwan/taiwan-stock-exchange-twse-indices/twse-equity-market-index-trading--consumers-goods
    Explore at:
    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
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Taiwan
    Variables measured
    Securities Exchange Index
    Description

    Taiwan TWSE: Equity Market Index: Trading & Consumers' Goods data was reported at 265.650 31Dec1994=100 in Oct 2018. This records a decrease from the previous number of 276.610 31Dec1994=100 for Sep 2018. Taiwan TWSE: Equity Market Index: Trading & Consumers' Goods data is updated monthly, averaging 115.695 31Dec1994=100 from Jan 1995 (Median) to Oct 2018, with 286 observations. The data reached an all-time high of 276.680 31Dec1994=100 in Jun 2018 and a record low of 49.070 31Dec1994=100 in Apr 2003. Taiwan TWSE: Equity Market Index: Trading & Consumers' Goods data remains active status in CEIC and is reported by Taiwan Stock Exchange Corporation. The data is categorized under Global Database’s Taiwan – Table TW.Z001: Taiwan Stock Exchange (TWSE): Indices.

  4. T

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

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 20, 2016
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    TRADING ECONOMICS (2016). United States Stock Market Index (USVIX) - Index Price | Live Quote | Historical Chart | Trading Economics [Dataset]. https://tradingeconomics.com/vix:ind
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 20, 2016
    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 - Oct 14, 2025
    Area covered
    United States
    Description

    Prices for United States Stock Market Index (USVIX) including live quotes, historical charts and news. United States Stock Market Index (USVIX) was last updated by Trading Economics this October 14 of 2025.

  5. N

    Data from: Index Futures Trading with Stable Profits using Deep Learning...

    • dataverse.lib.nycu.edu.tw
    Updated Aug 28, 2023
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    NYCU Dataverse (2023). Index Futures Trading with Stable Profits using Deep Learning Models [Dataset]. http://doi.org/10.57770/ELHNLG
    Explore at:
    bin(2015), bin(1924), text/x-python(4820), bin(2017), tsv(121229), bin(1979), csv(33141741), bin(1980), xlsx(165), tsv(2679), bin(1935), text/x-python(1823), bin(1915), text/x-python(917), tsv(1395), text/x-python(2193), bin(1978), text/x-python(4115), text/x-python(155), text/x-python(3828), text/x-python(3211), text/markdown(2217), tsv(2681), bin(1937), csv(27881807), tsv(2670), tsv(489371), bin(1936), bin(2030), text/x-python(88), tsv(1399), bin(2055), bin(2039), text/x-python(12717), text/x-python(1497), tsv(1367), text/x-python(8050), text/x-python(0), text/x-python(4775), text/x-python(1644), bin(1951), tsv(1389), tsv(1396), text/x-python(15860), tsv(2652), text/x-python(7008), xlsx(613255), text/comma-separated-values(25854477), text/x-python(13), tsv(2641), txt(191), txt(94), bin(1447), tsv(2671), bin(1953), text/x-python(1172), text/x-python(123), text/x-python(6705), text/x-python(404), csv(30756375), tsv(1304), text/x-python(688), text/x-python(707), text/x-python(361), bin(1551), text/x-python(1489), text/x-python(8169), tsv(1382), csv(928790), tsv(1306), csv(36164237), bin(2018), text/x-python(165), tsv(2688), bin(2031), tsv(1301), sh(143), tsv(1281), text/x-python(1499), tsv(13431), text/x-python(979), text/x-python(63), text/x-python(17930), text/x-python(315), bin(1864), text/x-python(2832), text/x-python(11717), text/x-python(3437), text/x-python(67), tsv(1372), tsv(2699), tsv(2689), tsv(1302), text/x-python(5837), text/x-python(85), text/x-python(6486), tsv(2672), text/x-python(49), text/x-python(4176), csv(26514838), application/x-ipynb+json(10022), text/x-python(1436), sh(2380), text/markdown(975), text/x-python(9271), csv(18762509), text/x-python(38), text/x-python(2446), tsv(2649), text/x-python(61), text/x-python(2926), text/x-python(151), tsv(2780), text/x-python(2271), text/x-python(3827), text/x-python(7031), tsv(1297), csv(21262584), text/x-python(2710), text/x-python(5175), application/x-ipynb+json(1561), bin(1952), tsv(2658)Available download formats
    Dataset updated
    Aug 28, 2023
    Dataset provided by
    NYCU Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This research presents a transfer learning approach for deep learning models to predict monthly average index of Standard and Poor's 500(S&P 500) and Taiwan Stock Exchange Capitalization Weighted Stock Index(TAIEX) and use it to simulate trading E-mini S&P 500 and Mini-TAIEX futures contracts for evaluation. It conducts three experiments to show that the approach can gain stable profits. The first experiment is to analyze the results of different types of data preprocessing and trading strategies and find a general one for the following experiments. Second, we compared the results between the original and transfer learning methods to prove that our techniques are able to get consistent earnings. Finally, we proposed some ensemble models and found that the ensemble methods were more effective and stable to make profits.

  6. I

    Israel Trading Volume: TASE: Avg Daily: Derivative: Option & Future: TA-35...

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Israel Trading Volume: TASE: Avg Daily: Derivative: Option & Future: TA-35 Index [Dataset]. https://www.ceicdata.com/en/israel/tel-aviv-stock-exchange-trading-value-and-trading-volume/trading-volume-tase-avg-daily-derivative-option--future-ta35-index
    Explore at:
    Dataset updated
    Mar 15, 2018
    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
    May 1, 2017 - Mar 1, 2018
    Area covered
    Israel
    Variables measured
    Turnover
    Description

    Israel Trading Volume: TASE: Avg Daily: Derivative: Option & Future: TA-35 Index data was reported at 104.000 Unit th in Oct 2018. This records an increase from the previous number of 94.000 Unit th for Sep 2018. Israel Trading Volume: TASE: Avg Daily: Derivative: Option & Future: TA-35 Index data is updated monthly, averaging 98.500 Unit th from May 2017 (Median) to Oct 2018, with 18 observations. The data reached an all-time high of 136.000 Unit th in Feb 2018 and a record low of 66.000 Unit th in Jul 2018. Israel Trading Volume: TASE: Avg Daily: Derivative: Option & Future: TA-35 Index data remains active status in CEIC and is reported by Tel Aviv Stock Exchange. The data is categorized under Global Database’s Israel – Table IL.Z005: Tel Aviv Stock Exchange: Trading Value and Trading Volume. The index was released under the name TA-25 Monthly Options and was broadened to TA-35 Monthly Options in May 2017.

  7. f

    Selection of the optimal trading model for stock investment in different...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    pdf
    Updated May 30, 2023
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    Dongdong Lv; Zhenhua Huang; Meizi Li; Yang Xiang (2023). Selection of the optimal trading model for stock investment in different industries [Dataset]. http://doi.org/10.1371/journal.pone.0212137
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Dongdong Lv; Zhenhua Huang; Meizi Li; Yang Xiang
    License

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

    Description

    In general, the stock prices of the same industry have a similar trend, but those of different industries do not. When investing in stocks of different industries, one should select the optimal model from lots of trading models for each industry because any model may not be suitable for capturing the stock trends of all industries. However, the study has not been carried out at present. In this paper, firstly we select 424 S&P 500 index component stocks (SPICS) and 185 CSI 300 index component stocks (CSICS) as the research objects from 2010 to 2017, divide them into 9 industries such as finance and energy respectively. Secondly, we apply 12 widely used machine learning algorithms to generate stock trading signals in different industries and execute the back-testing based on the trading signals. Thirdly, we use a non-parametric statistical test to evaluate whether there are significant differences among the trading performance evaluation indicators (PEI) of different models in the same industry. Finally, we propose a series of rules to select the optimal models for stock investment of every industry. The analytical results on SPICS and CSICS show that we can find the optimal trading models for each industry based on the statistical tests and the rules. Most importantly, the PEI of the best algorithms can be significantly better than that of the benchmark index and “Buy and Hold” strategy. Therefore, the algorithms can be used for making profits from industry stock trading.

  8. S

    Sri Lanka CSE: Index: Trading

    • ceicdata.com
    Updated Sep 15, 2024
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    CEICdata.com (2024). Sri Lanka CSE: Index: Trading [Dataset]. https://www.ceicdata.com/en/sri-lanka/colombo-stock-exchange-index/cse-index-trading
    Explore at:
    Dataset updated
    Sep 15, 2024
    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
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Sri Lanka
    Variables measured
    Securities Exchange Index
    Description

    Sri Lanka CSE: Index: Trading data was reported at 12,056.720 NA in Nov 2018. This records a decrease from the previous number of 12,206.220 NA for Oct 2018. Sri Lanka CSE: Index: Trading data is updated monthly, averaging 1,312.570 NA from Jan 1987 (Median) to Nov 2018, with 383 observations. The data reached an all-time high of 33,276.330 NA in May 2011 and a record low of 155.760 NA in Nov 1988. Sri Lanka CSE: Index: Trading data remains active status in CEIC and is reported by Colombo Stock Exchange. The data is categorized under Global Database’s Sri Lanka – Table LK.Z001: Colombo Stock Exchange: Index.

  9. T

    Germany Stock Market Index (DE40) Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 14, 2025
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    TRADING ECONOMICS (2025). Germany Stock Market Index (DE40) Data [Dataset]. https://tradingeconomics.com/germany/stock-market
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Oct 14, 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 30, 1987 - Oct 14, 2025
    Area covered
    Germany
    Description

    Germany's main stock market index, the DE40, rose to 24406 points on October 14, 2025, gaining 0.07% from the previous session. Over the past month, the index has climbed 2.77% and is up 25.25% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on October of 2025.

  10. Monthly development DAX Index 2015-2025

    • statista.com
    • tokrwards.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/
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    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.

  11. 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.

  12. Monthly development FTSE Italia All-Share Index 2015-2025

    • statista.com
    • tokrwards.com
    Updated Jul 9, 2025
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    Statista (2025). Monthly development FTSE Italia All-Share Index 2015-2025 [Dataset]. https://www.statista.com/statistics/759721/monthly-development-of-the-italian-ftse-all-share-index/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Feb 2025
    Area covered
    Italy
    Description

    The FTSE Italia All-Share Index increased overall between January 2015 and February 2025, albeit with significant fluctuations. Following a period of growth up to the end of 2019, the global coronavirus (COVID-19) pandemic caused the index value to crash to ****** points in March 2020, before recovering in the following months. As of February 2025, the FTSE Italia All-Share Index amounted to ********* points.

  13. F

    Futures Trading Service Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 6, 2025
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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.

  14. U

    United States USD Trade Weighted Index: Nominal: Other Important Trading...

    • ceicdata.com
    Updated Nov 27, 2021
    + more versions
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    CEICdata.com, United States USD Trade Weighted Index: Nominal: Other Important Trading Partner [Dataset]. https://www.ceicdata.com/en/united-states/us-dollar-trade-weighted-index/usd-trade-weighted-index-nominal-other-important-trading-partner
    Explore at:
    Dataset updated
    Nov 27, 2021
    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
    Jun 1, 2017 - May 1, 2018
    Area covered
    United States
    Variables measured
    Foreign Exchange Rate
    Description

    United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data was reported at 168.237 Jan1997=100 in Nov 2018. This records an increase from the previous number of 166.528 Jan1997=100 for Oct 2018. United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data is updated monthly, averaging 96.825 Jan1997=100 from Jan 1973 (Median) to Nov 2018, with 551 observations. The data reached an all-time high of 168.237 Jan1997=100 in Nov 2018 and a record low of 1.998 Jan1997=100 in Jul 1973. United States USD Trade Weighted Index: Nominal: Other Important Trading Partner data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

  15. F

    Gross domestic product: Trading gains index

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2025
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    (2025). Gross domestic product: Trading gains index [Dataset]. https://fred.stlouisfed.org/series/W368RG3Q066SBEA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2025
    License

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

    Description

    Graph and download economic data for Gross domestic product: Trading gains index (W368RG3Q066SBEA) from Q1 1947 to Q2 2025 about trade, GDP, indexes, and USA.

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

    • statista.com
    • tokrwards.com
    • +1more
    Updated Jun 26, 2025
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    Statista (2025). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

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

  17. 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
    India, China, France, Germany, Korea (Republic of), United States of America
    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.

  18. Daily development FTSE 100 Index UK 2019-2025

    • statista.com
    • thefarmdosupply.com
    • +1more
    Updated Jul 11, 2025
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    Statista (2025). Daily development FTSE 100 Index UK 2019-2025 [Dataset]. https://www.statista.com/statistics/1103739/ftse-100-index-uk/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2019 - Jan 2025
    Area covered
    United Kingdom
    Description

    As of January 29, 2025, the FTSE index stood at ******** points - well above its average value of around ***** points in the past few years.On the 12th of March 2020, amid the escalating crisis surrounding the coronavirus and fears of a global recession, the FTSE 100 suffered the second largest one day crash in its history and the biggest since the 1987 market crash. On the 23rd of March, the FTSE index saw its lowest value this year to date at ******** but has since began a tentative recovery. With the continuation of the pandemic, the FTSE 100 index was making a tentative recovery between late March 2020 and early June 2020. Since then the FSTE 100 index had plateaued towards the end of July, before starting a tentative upward trend in November. FTSE 100 The Financial Times Stock Exchange 100 Index, otherwise known as the FTSE 100 Index is a share index of the 100 largest companies trading on the London Stock Exchange in terms of market capitalization. At the end of March 2024, the largest company trading on the LSE was Shell. The largest ever initial public offering (IPO) on the LSE was Glencore International plc. European stock exchanges While nearly every country in Europe has a stock exchange, only five are considered major, and have a market capital of over one trillion U.S dollars. European stock exchanges make up two of the top ten major stock markets in the world. Europe’s biggest stock exchange is the Euronext which combines seven markets based in Belgium, France, England, Ireland, the Netherlands, Norway, and Portugal.

  19. S

    Sri Lanka CSE: Total Return Index: Trading

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Sri Lanka CSE: Total Return Index: Trading [Dataset]. https://www.ceicdata.com/en/sri-lanka/colombo-stock-exchange-total-return-index/cse-total-return-index-trading
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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
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Sri Lanka
    Description

    Sri Lanka CSE: Total Return Index: Trading data was reported at 14,435.500 NA in Nov 2018. This records a decrease from the previous number of 14,614.500 NA for Oct 2018. Sri Lanka CSE: Total Return Index: Trading data is updated monthly, averaging 16,387.375 NA from Dec 2004 (Median) to Nov 2018, with 168 observations. The data reached an all-time high of 35,887.650 NA in May 2011 and a record low of 1,235.950 NA in Dec 2008. Sri Lanka CSE: Total Return Index: Trading data remains active status in CEIC and is reported by Colombo Stock Exchange. The data is categorized under Global Database’s Sri Lanka – Table LK.Z002: Colombo Stock Exchange: Total Return Index.

  20. Business receipts index for the trading industry in Hong Kong 2014-2024, by...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Business receipts index for the trading industry in Hong Kong 2014-2024, by sector [Dataset]. https://www.statista.com/statistics/627768/hong-kong-trading-industry-business-receipts-index-by-sector/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Hong Kong
    Description

    This graph depicts the business receipts index (BRI) of Hong Kong's trading industry from 2014 to 2024, by sector. In 2024, the business receipts index for the retail trade sector in Hong Kong ranged at **** index points.

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TRADING ECONOMICS (2024). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market

United States Stock Market Index Data

United States Stock Market Index - Historical Dataset (1928-01-03/2025-10-14)

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21 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, json, csvAvailable download formats
Dataset updated
Oct 14, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Jan 3, 1928 - Oct 14, 2025
Area covered
United States
Description

The main stock market index of United States, the US500, fell to 6650 points on October 14, 2025, losing 0.07% from the previous session. Over the past month, the index has climbed 0.53% and is up 14.36% 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 October of 2025.

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