100+ datasets found
  1. Global Stock Indices Historical Data

    • kaggle.com
    zip
    Updated Jun 25, 2024
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    Guillem SD (2024). Global Stock Indices Historical Data [Dataset]. https://www.kaggle.com/datasets/guillemservera/global-stock-indices-historical-data
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    zip(10503247 bytes)Available download formats
    Dataset updated
    Jun 25, 2024
    Authors
    Guillem SD
    License

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

    Description

    About:

    This dataset encompasses the historical data of major stock indices from around the world, sourced directly from Yahoo Finance. With data reaching back to the early 1920s (where available), it serves as an invaluable repository for academic researchers, financial analysts, and market enthusiasts. Users can delve into trends across decades, evaluate historical market behaviors, or even design and validate predictive financial models.

    Photo by Tötös Ádám on Unsplash

    Info on CSVs:

    1. all_indices_data.csv:

      • Description: A consolidated dataset merging all the stock indices from Yahoo Finance.
      • Columns:
        • date: The date of the data point (formatted as YYYY-MM-DD).
        • open: The opening value of the index on that date.
        • high: The highest value of the index during the trading session.
        • low: The lowest value of the index during the trading session.
        • close: The closing value of the index.
        • volume: The trading volume of the index on that date.
        • ticker: The ticker symbol of the stock index.
    2. individual_indices_data/[SYMBOL]_data.csv:

      • Description: Individual datasets for each stock index, where [SYMBOL] denotes the ticker symbol of the respective stock index. Each dataset is curated from Yahoo Finance's historical data archives.
      • Columns:
        • date: The date of the data point (formatted as YYYY-MM-DD).
        • open: The opening value of the index on that date.
        • high: The highest value of the index during the trading session.
        • low: The lowest value of the index during the trading session.
        • close: The closing value of the index.
        • volume: The trading volume of the index on that date.
  2. Countries with largest stock markets globally 2025

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Countries with largest stock markets globally 2025 [Dataset]. https://www.statista.com/statistics/710680/global-stock-markets-by-country/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Worldwide
    Description

    In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

  3. Historical Performance : World's Top Stock Indices

    • kaggle.com
    zip
    Updated Jul 2, 2021
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    Rohit Tiwari (2021). Historical Performance : World's Top Stock Indices [Dataset]. https://www.kaggle.com/datasets/rohitktiwari04/top-10-stock-indices
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    zip(777901 bytes)Available download formats
    Dataset updated
    Jul 2, 2021
    Authors
    Rohit Tiwari
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Stock Exchange is a market that allows you to buy and sell securities including shares of stock, bonds, and other financial instruments in a public venue. Stock markets enable companies to be traded publicly and raise capital. Stock markets promote investment. The raising of capital allows companies to grow their businesses, expand operations and create jobs in the economy. This investment is a key driver for economic trade, growth, and prosperity.

    Content

    This dataset consists of 15 years of data of some of the world's most-followed stock indices from various developed and emerging markets. The data includes the opening, closing, high, low, adjusted close and total volume of transactions that occurred on a given day.

    Inspiration

    People who invest in stock must be familiar with the Dow Jones, Nasdaq, Shanghai stock exchange as a few biggest exchanges in the list of largest stock exchanges in the world. But there are some other large stock exchanges that are tracked on a daily basis by traders and investors to gauge the global market sentiment. During the past 15 years, a few of these markets have also outperformed their global peers in terms of the total return delivered.

  4. Largest stock exchange operators worldwide 2025, by market capitalization

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Largest stock exchange operators worldwide 2025, by market capitalization [Dataset]. https://www.statista.com/statistics/270126/largest-stock-exchange-operators-by-market-capitalization-of-listed-companies/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2025
    Area covered
    Worldwide
    Description

    The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of November 2025. The following largest three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

  5. Global Indices

    • kaggle.com
    zip
    Updated Apr 25, 2025
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    chronozone (2025). Global Indices [Dataset]. https://www.kaggle.com/datasets/chronozone/global-indices
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    zip(415739 bytes)Available download formats
    Dataset updated
    Apr 25, 2025
    Authors
    chronozone
    Description

    FCHI The FCHI, or the CAC 40 Index, is a benchmark stock market index in France that represents the performance of the 40 most significant and actively traded stocks on the Euronext Paris. It includes major French companies across various sectors such as finance, energy, consumer goods, and technology. The index is widely used by investors and financial professionals to gauge the health of the French economy and serves as a key indicator of European market trends.

    FTSE The FTSE 100 Index, commonly referred to as simply the FTSE, is a stock market index that tracks the performance of the 100 largest companies listed on the London Stock Exchange, ranked by market capitalization. It is one of the most widely followed indices in Europe and reflects the overall strength and direction of the UK's economy. Major multinational corporations in sectors like banking, oil, and pharmaceuticals are heavily represented in this index.

    GDAXI The GDAXI, also known as the DAX 40 or simply DAX, is Germany’s leading stock market index, consisting of the 40 largest and most liquid German companies trading on the Frankfurt Stock Exchange. These companies are typically industry leaders in sectors such as automotive, industrial manufacturing, pharmaceuticals, and financial services. The DAX is a key indicator of economic performance in Germany and is closely watched by investors around the world.

    HSI The HSI, or Hang Seng Index, is a stock market index that tracks the performance of the largest companies listed on the Hong Kong Stock Exchange. It serves as a key benchmark for the Hong Kong stock market and provides insight into the economic conditions of Hong Kong and greater China. The index includes companies from various sectors, including finance, real estate, and technology, many of which have significant operations in mainland China.

    IDX The IDX Composite Index, often referred to as the Jakarta Composite Index, is the main stock market index for the Indonesia Stock Exchange (IDX). It measures the performance of all actively traded stocks listed on the exchange and is used as a key indicator of the overall health of the Indonesian economy. The index covers a wide range of industries, including banking, commodities, telecommunications, and consumer goods.

    N225 The N225, or Nikkei 225, is Japan’s most well-known stock market index, comprising 225 top-quality companies listed on the Tokyo Stock Exchange. It is a price-weighted index that reflects the performance of major Japanese firms across various industries such as electronics, automotive, and financial services. The Nikkei 225 is considered a key barometer of Japan's economic health and is widely monitored by global investors.

    NYA The NYA, or NYSE COMPOSITE INDEX, is a broad stock market index that includes all common stocks listed on the New York Stock Exchange. Unlike more narrow indices such as the Dow Jones Industrial Average, the NYA offers a comprehensive view of the entire NYSE market, covering companies across multiple sectors and market capitalizations. It is used by investors to assess the overall performance of the U.S. stock market.

  6. t

    Global Stock Market Indices and Stock Prices - Dataset - LDM

    • service.tib.eu
    Updated Jan 2, 2025
    + more versions
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    (2025). Global Stock Market Indices and Stock Prices - Dataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/global-stock-market-indices-and-stock-prices
    Explore at:
    Dataset updated
    Jan 2, 2025
    Description

    The dataset contains 12 leading global stock indices and stock prices of companies.

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

    • statista.com
    Updated Mar 15, 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
    Mar 15, 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.

  8. Effect of coronavirus on major global stock indices 2020-2021

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Effect of coronavirus on major global stock indices 2020-2021 [Dataset]. https://www.statista.com/statistics/1251618/effect-coronavirus-major-global-stock-indices/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2020 - Nov 14, 2021
    Area covered
    Worldwide
    Description

    While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around ** percent of their value compared to January *, 2020. However, Asian markets and the NASDAQ Composite Index only shed around ** to ** percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around ** percent higher than in January 2020, while most other markets were only between ** and ** percent higher. Why did the NASDAQ recover the quickest? Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide. Which markets suffered the most? The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

  9. Dataset for Stock Market Index of 7 Economies

    • kaggle.com
    zip
    Updated Jul 4, 2023
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    Saad Aziz (2023). Dataset for Stock Market Index of 7 Economies [Dataset]. https://www.kaggle.com/datasets/saadaziz1985/dataset-for-stock-market-index-of-7-countries
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    zip(1917326 bytes)Available download formats
    Dataset updated
    Jul 4, 2023
    Authors
    Saad Aziz
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context:

    The provided dataset is extracted from yahoo finance using pandas and yahoo finance library in python. This deals with stock market index of the world best economies. The code generated data from Jan 01, 2003 to Jun 30, 2023 that’s more than 20 years. There are 18 CSV files, dataset is generated for 16 different stock market indices comprising of 7 different countries. Below is the list of countries along with number of indices extracted through yahoo finance library, while two CSV files deals with annualized return and compound annual growth rate (CAGR) has been computed from the extracted data.

    Number of Countries & Index:

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F90ce8a986761636e3edbb49464b304d8%2FNumber%20of%20Index.JPG?generation=1688490342207096&alt=media" alt="">

    Content:

    Unit of analysis: Stock Market Index Analysis

    This dataset is useful for research purposes, particularly for conducting comparative analyses involving capital market performance and could be used along with other economic indicators.

    There are 18 distinct CSV files associated with this dataset. First 16 CSV files deals with number of indices and last two CSV file deals with annualized return of each year and CAGR of each index. If data in any column is blank, it portrays that index was launch in later years, for instance: Bse500 (India), this index launch in 2007, so earlier values are blank, similarly China_Top300 index launch in year 2021 so early fields are blank too.

    The extraction process involves applying different criteria, like in 16 CSV files all columns are included, Adj Close is used to calculate annualized return. The algorithm extracts data based on index name (code given by the yahoo finance) according start and end date.

    Annualized return and CAGR has been calculated and illustrated in below image along with machine readable file (CSV) attached to that.

    To extract the data provided in the attachment, various criteria were applied:

    1. Content Filtering: The data was filtered based on several attributes, including the index name, start and end date. This filtering process ensured that only relevant data meeting the specified criteria.

    2. Collaborative Filtering: Another filtering technique used was collaborative filtering using yahoo finance, which relies on index similarity. This approach involves finding indices that are similar to other index or extended dataset scope to other countries or economies. By leveraging this method, the algorithm identifies and extracts data based on similarities between indices.

    In the last two CSV files, one belongs to annualized return, that was calculated based on the Adj close column and new DataFrame created to store its outcome. Below is the image of annualized returns of all index (if unreadable, machine-readable or CSV format is attached with the dataset).

    Annualized Return:

    As far as annualised rate of return is concerned, most of the time India stock market indices leading, followed by USA, Canada and Japan stock market indices.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F37645bd90623ea79f3708a958013c098%2FAnnualized%20Return.JPG?generation=1688525901452892&alt=media" alt="">

    Compound Annual Growth Rate (CAGR):

    The best performing index based on compound growth is Sensex (India) that comprises of top 30 companies is 15.60%, followed by Nifty500 (India) that is 11.34% and Nasdaq (USA) all is 10.60%.

    The worst performing index is China top300, however this is launch in 2021 (post pandemic), so would not possible to examine at that stage (due to less data availability). Furthermore, UK and Russia indices are also top 5 in the worst order.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F15657145%2F58ae33f60a8800749f802b46ec1e07e7%2FCAGR.JPG?generation=1688490409606631&alt=media" alt="">

    Geography: Stock Market Index of the World Top Economies

    Time period: Jan 01, 2003 – June 30, 2023

    Variables: Stock Market Index Title, Open, High, Low, Close, Adj Close, Volume, Year, Month, Day, Yearly_Return and CAGR

    File Type: CSV file

    Inspiration:

    • Time series prediction model
    • Investment opportunities in world best economies
    • Comparative Analysis of past data with other stock market indices or other indices

    Disclaimer:

    This is not a financial advice; due diligence is required in each investment decision.

  10. 33 World-Wide Stock Market Indices Data

    • kaggle.com
    Updated Nov 8, 2022
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    mukhazar ahmad (2022). 33 World-Wide Stock Market Indices Data [Dataset]. https://www.kaggle.com/datasets/mukhazarahmad/worldwide-stock-market-indices-data/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 8, 2022
    Dataset provided by
    Kaggle
    Authors
    mukhazar ahmad
    Area covered
    World
    Description

    This is a comprehensive data sets of almost all the largest stock market indices of the world. I am confident that this data set would make a significant contribution in financial data analytics. These indices include: 1. S&P 500 (^GSPC) 2. Dow 30 (^DJI) 3. Nasdaq (^IXIC) 4. NYSE COMPOSITE DJ (^NYA) 5. NYSE AMEX COMPOSITE INDEX (^XAX) 6. Cboe UK 100 (^BUK100P) 7. Russell 2000 (^RUT) 8. CBOE Volatility Index (^VIX) 9. DAX PERFORMANCE-INDEX (^GDAXI) 10. CAC 40 (^FCHI) 11. ESTX 50 PR.EUR (^STOXX50E) 12. Euronext 100 Index (^N100) 13. BEL 20 (^BFX) 14. MOEX Russia Index (IMOEX.ME) 15. Nikkei 225 (^N225) 16. HANG SENG INDEX (^HSI) 17. SSE Composite Index (000001.SS) 18. Shenzhen Index (399001.SZ) 19. S&P/ASX 200 (^AXJO) 20. ALL ORDINARIES (^AORD) 21. S&P BSE SENSEX (^BSESN) 22. Jakarta Composite Index (^JKSE) 23. S&P/NZX 50 INDEX GROSS (^NZ50) 24. KOSPI Composite Index (^KS11) 25. TSEC weighted index (^TWII) 26. S&P/TSX Composite index (^GSPTSE) 27. IBOVESPA (^BVSP) 28. IPC MEXICO (^MXX) 29. S&P/CLX IPSA (^IPSA) 30. MERVAL (^MERV) 31. TA-125 (^TA125.TA) 32. EGX 30 Price Return Index (^CASE30) 33. Top 40 USD Net TRI Index (^JN0U.JO)

  11. Stock Data

    • kaggle.com
    zip
    Updated Jun 25, 2020
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    Akshat Zala (2020). Stock Data [Dataset]. https://www.kaggle.com/akshatzala/stock-data
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    zip(10704 bytes)Available download formats
    Dataset updated
    Jun 25, 2020
    Authors
    Akshat Zala
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by Akshat Zala

    Released under CC0: Public Domain

    Contents

    Major world's stock indices Daily its updated

  12. Monthly development Dow Jones Industrial Average Index 2018-2025

    • statista.com
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    Statista, Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jun 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

  13. Data from: World-Indices

    • kaggle.com
    zip
    Updated Jun 14, 2022
    + more versions
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    EL Younes (2022). World-Indices [Dataset]. https://www.kaggle.com/youneseloiarm/global-indices-in-us-markets
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    zip(5074560 bytes)Available download formats
    Dataset updated
    Jun 14, 2022
    Authors
    EL Younes
    Description

    Content

    Daily price data for World indices stock exchanges from all over the world (United States, China, Canada, Germany, Japan, and more). The data was all collected from Yahoo Finance, which had several decades of data available for most exchanges. Prices are quoted in terms of the USD currency of where each exchange is located.

    Acknowledgement

    Data collected from Yahoo Finance.

  14. J

    Japan Index: TSE: 1st Section: MA: Wholesale Trade

    • ceicdata.com
    Updated May 16, 2018
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    CEICdata.com (2018). Japan Index: TSE: 1st Section: MA: Wholesale Trade [Dataset]. https://www.ceicdata.com/en/japan/all-stock-exchange-market-indices
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    Dataset updated
    May 16, 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 - Apr 1, 2018
    Area covered
    Japan
    Variables measured
    Securities Exchange Index
    Description

    Index: TSE: 1st Section: MA: Wholesale Trade data was reported at 1,548.825 06Jan1992=1000 in Nov 2018. This records a decrease from the previous number of 1,631.782 06Jan1992=1000 for Oct 2018. Index: TSE: 1st Section: MA: Wholesale Trade data is updated monthly, averaging 861.791 06Jan1992=1000 from Jan 1997 (Median) to Nov 2018, with 263 observations. The data reached an all-time high of 1,789.009 06Jan1992=1000 in Feb 2000 and a record low of 410.949 06Jan1992=1000 in Nov 2002. Index: TSE: 1st Section: MA: Wholesale Trade data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices.

  15. f

    Market Indexes Data

    • findatafox.com
    Updated Dec 1, 2025
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    FindataFox (2025). Market Indexes Data [Dataset]. https://findatafox.com/market-indexes
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    Dataset updated
    Dec 1, 2025
    Dataset provided by
    FindataFox
    License

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

    Time period covered
    2020 - 2025
    Area covered
    Global
    Variables measured
    Market Index Data
    Description

    Live market index data including S&P 500, NASDAQ, Dow Jones, FTSE, DAX, and other global indices

  16. J

    Japan Index: TSE: 1st Section: MA: Real Estate

    • ceicdata.com
    Updated May 16, 2018
    + more versions
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    CEICdata.com (2018). Japan Index: TSE: 1st Section: MA: Real Estate [Dataset]. https://www.ceicdata.com/en/japan/all-stock-exchange-market-indices
    Explore at:
    Dataset updated
    May 16, 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 - Apr 1, 2018
    Area covered
    Japan
    Variables measured
    Securities Exchange Index
    Description

    Index: TSE: 1st Section: MA: Real Estate data was reported at 1,520.779 04Jan1968=100 in Jun 2018. This records a decrease from the previous number of 1,559.857 04Jan1968=100 for May 2018. Index: TSE: 1st Section: MA: Real Estate data is updated monthly, averaging 925.960 04Jan1968=100 from Dec 1987 (Median) to Jun 2018, with 367 observations. The data reached an all-time high of 2,363.700 04Jan1968=100 in Dec 1989 and a record low of 402.363 04Jan1968=100 in Apr 2003. Index: TSE: 1st Section: MA: Real Estate data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices.

  17. y

    S&P 500

    • ycharts.com
    html
    Updated Nov 5, 2025
    + more versions
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    Standard and Poor's (2025). S&P 500 [Dataset]. https://ycharts.com/indicators/sp_500
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Nov 5, 2025
    Dataset provided by
    YCharts
    Authors
    Standard and Poor's
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Nov 30, 1999 - Oct 31, 2025
    Area covered
    United States
    Variables measured
    S&P 500
    Description

    View monthly updates and historical trends for S&P 500. from United States. Source: Standard and Poor's. Track economic data with YCharts analytics.

  18. J

    Japan Index: JASDAQ

    • ceicdata.com
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    CEICdata.com, Japan Index: JASDAQ [Dataset]. https://www.ceicdata.com/en/japan/all-stock-exchange-market-indices/index-jasdaq
    Explore at:
    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 - Apr 1, 2018
    Area covered
    Japan
    Variables measured
    Securities Exchange Index
    Description

    Japan Index: JASDAQ data was reported at 155.290 28Oct1991=100 in Oct 2018. This records a decrease from the previous number of 167.130 28Oct1991=100 for Sep 2018. Japan Index: JASDAQ data is updated monthly, averaging 63.070 28Oct1991=100 from Feb 1994 (Median) to Oct 2018, with 297 observations. The data reached an all-time high of 187.800 28Oct1991=100 in Jan 2018 and a record low of 23.770 28Oct1991=100 in Oct 1998. Japan Index: JASDAQ data remains active status in CEIC and is reported by Nikkei. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices.

  19. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 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
    Dec 2, 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 - Dec 2, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher 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 December of 2025.

  20. Stock Indices Around the World

    • kaggle.com
    Updated Jun 30, 2022
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    Gelasius Galvindy (2022). Stock Indices Around the World [Dataset]. https://www.kaggle.com/datasets/gelasiusgalvindy/stock-indices-around-the-world
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 30, 2022
    Dataset provided by
    Kaggle
    Authors
    Gelasius Galvindy
    Area covered
    World
    Description

    Collected from Yahoo Finance, Investing.com and WJS, this dataset consists of the following indices ranging from July 17, 2017 to July 22, 2022:

    1. DJI (Dow Jones Industrial Average)
    2. SNP (Standard and Poor's 500)
    3. IXIC (Nasdaq Composite)
    4. VIX (CBOE Volatility Index)
    5. FTSE (Financial Times Stock Exchange)
    6. FCHI (CAC 40 Paris Index)
    7. STOXX (The STOXX Europe 600)
    8. AEX (Amsterdam Exchange Index)
    9. IBEX (Iberian Index, Madrid)
    10. MOEX (Russia Index)
    11. BIST (Istanbul Index)
    12. HSI (Hang Seng Index)
    13. SSE (Shanghai Composite Index)
    14. STI (Straits Times Index)
    15. SZSE (Shenzhen Stock Exchange)
    16. NIK (Nikkei 225 Index)
    17. TWII (Taiwan Weighted)
    18. JKSE (Jakarta Composite Index)
Share
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Guillem SD (2024). Global Stock Indices Historical Data [Dataset]. https://www.kaggle.com/datasets/guillemservera/global-stock-indices-historical-data
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Global Stock Indices Historical Data

Daily Updated Historical OHLC Data from Major Stock Indices Around the World.

Explore at:
zip(10503247 bytes)Available download formats
Dataset updated
Jun 25, 2024
Authors
Guillem SD
License

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

Description

About:

This dataset encompasses the historical data of major stock indices from around the world, sourced directly from Yahoo Finance. With data reaching back to the early 1920s (where available), it serves as an invaluable repository for academic researchers, financial analysts, and market enthusiasts. Users can delve into trends across decades, evaluate historical market behaviors, or even design and validate predictive financial models.

Photo by Tötös Ádám on Unsplash

Info on CSVs:

  1. all_indices_data.csv:

    • Description: A consolidated dataset merging all the stock indices from Yahoo Finance.
    • Columns:
      • date: The date of the data point (formatted as YYYY-MM-DD).
      • open: The opening value of the index on that date.
      • high: The highest value of the index during the trading session.
      • low: The lowest value of the index during the trading session.
      • close: The closing value of the index.
      • volume: The trading volume of the index on that date.
      • ticker: The ticker symbol of the stock index.
  2. individual_indices_data/[SYMBOL]_data.csv:

    • Description: Individual datasets for each stock index, where [SYMBOL] denotes the ticker symbol of the respective stock index. Each dataset is curated from Yahoo Finance's historical data archives.
    • Columns:
      • date: The date of the data point (formatted as YYYY-MM-DD).
      • open: The opening value of the index on that date.
      • high: The highest value of the index during the trading session.
      • low: The lowest value of the index during the trading session.
      • close: The closing value of the index.
      • volume: The trading volume of the index on that date.
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