100+ datasets found
  1. India Stock Market (daily updated)

    • kaggle.com
    zip
    Updated Jan 31, 2022
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    Larxel (2022). India Stock Market (daily updated) [Dataset]. https://www.kaggle.com/datasets/andrewmvd/india-stock-market
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    zip(72359394 bytes)Available download formats
    Dataset updated
    Jan 31, 2022
    Authors
    Larxel
    License

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

    Area covered
    India
    Description

    About this dataset

    India's National Stock Exchange (NSE) has a total market capitalization of more than US$3.4 trillion, making it the world's 10th-largest stock exchange as of August 2021, with a trading volume of ₹8,998,811 crore (US$1.2 trillion) and more 2000 total listings.

    NSE's flagship index, the NIFTY 50, is a 50 stock index is used extensively by investors in India and around the world as a barometer of the Indian capital market.

    This dataset contains data of all company stocks listed in the NSE, allowing anyone to analyze and make educated choices about their investments, while also contributing to their countries economy.

    How to use this dataset

    • Create a time series regression model to predict NIFTY-50 value and/or stock prices.
    • Explore the most the returns, components and volatility of the stocks.
    • Identify high and low performance stocks among the list.

    Highlighted Notebooks

    Acknowledgements

    License

    CC0: Public Domain

    Splash banner

    Stonks by unknown memer.

  2. NSE Stock Historical price data

    • kaggle.com
    zip
    Updated Jul 11, 2024
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    Nishant Singhal (2024). NSE Stock Historical price data [Dataset]. https://www.kaggle.com/datasets/stacknishant/nse-stock-historical-price-data
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    zip(21490351 bytes)Available download formats
    Dataset updated
    Jul 11, 2024
    Authors
    Nishant Singhal
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    NSE Stock Historical Price Data (Market Cap > 500 Cr)

    Dataset Description

    This dataset contains the historical closing price data for all stocks listed on the National Stock Exchange (NSE) of India with a market capitalization exceeding 500 crore INR. The dataset is ideal for analysts, researchers, and enthusiasts who wish to perform detailed analysis, develop trading algorithms, or study market trends of substantial companies within the Indian stock market.

    Features

    1. Stock Ticker: Unique symbol representing each stock.
    2. Date: The specific trading date.
    3. Closing Price: The price at which the stock closed on a given day.

    Source

    The data is sourced from official NSE records and includes all companies meeting the market capitalization criteria as of the latest update.

    Applications

    • Trend Analysis: Understand how stock prices of major companies have fluctuated over time.
    • Algorithmic Trading: Develop and backtest trading algorithms using real historical data.
    • Market Research: Study the performance of large-cap stocks to gain insights into market dynamics.
    • Educational Use: Serve as a practical dataset for educational purposes in finance, economics, and data science courses.

    Usage

    The dataset can be used for various purposes including but not limited to: - Financial modeling and forecasting - Risk management and portfolio optimization - Academic research and projects - Machine learning and AI-driven stock prediction models

  3. Data from: National Stock Exchange of India

    • lseg.com
    Updated Aug 19, 2025
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    LSEG (2025). National Stock Exchange of India [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/equities-market-data/national-stock-exchange-india
    Explore at:
    csv,delimited,gzip,html,json,pcap,pdf,python,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Aug 19, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Area covered
    India
    Description

    Gain access to LSEG's National Stock Exchange of India data, India's largest stock exchange with more than 180,000 terminals across 600 districts.

  4. T

    Nigeria Stock Market NSE Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Nigeria Stock Market NSE Data [Dataset]. https://tradingeconomics.com/nigeria/stock-market
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 18, 1996 - Dec 1, 2025
    Area covered
    Nigeria
    Description

    Nigeria's main stock market index, the NSE All Share, fell to 143210 points on December 1, 2025, losing 0.22% from the previous session. Over the past month, the index has declined 6.85%, though it remains 46.53% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Nigeria. Nigeria Stock Market NSE - values, historical data, forecasts and news - updated on December of 2025.

  5. NSE NIFTY Indices Data

    • kaggle.com
    Updated Mar 1, 2023
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    Yogesh Shinde (2023). NSE NIFTY Indices Data [Dataset]. https://www.kaggle.com/datasets/yogesh239/nse-nifty-indices-data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 1, 2023
    Dataset provided by
    Kaggle
    Authors
    Yogesh Shinde
    Description

    Context : NIFTY 50 is the flagship stock market index of the National Stock Exchange (NSE) in India which is one of the leading stock exchanges in India. NIFTY 50 represents the performance of 50 large-cap companies across various sectors of the Indian economy.
    Similarly NIFTY 100 represents the performance of the top 100 companies listed on the NSE based on market capitalization. NIFTY 100 is also part of several other indices, such as NIFTY 200, NIFTY 500, and NIFTY 100 Equal Weight Index.

    In the National Stock Exchange (NSE) of India, there are three market segments based on the market capitalization of the listed companies. They are: - Large-cap: This segment includes the top 100 companies listed on the NSE based on market capitalization. - Mid-cap: This segment includes companies that rank between 101 and 250 based on market capitalization. - Small-cap: This segment includes companies that rank below the top 250 companies based on market capitalization. Market capitalization is calculated by multiplying a company's total outstanding shares by its current market price per share. The NSE's NIFTY Mid-cap 100 and NIFTY Small-cap 250 indices track the performance of companies in the mid-cap and small-cap segments of the market, respectively.

    The NIFTY500 Multicap 50:25:25 index is a variant of the NIFTY 500 index, which represents the top 500 companies listed on India's National Stock Exchange (NSE). The Multicap 50:25:25 variant is a modified version of the NIFTY500 index that divides stocks into three categories based on market capitalization. The top 50 companies by market capitalization are classified as large-cap companies under this variant, while the next 150 companies are classified as mid-cap companies. The remaining 300 businesses are classified as small-cap.

    Content : This Dataset contains records for all NIFTY-50 , NIFTY 200, NIFTY Midcap 100, NIFTY Smallcap 250, NIFTY500 Multicap 50:25:25 stocks, as on 1st March, 2023 - Open - open value of the index on that day - High - highest value of the index on that day - Low - lowest value of the index on that day - PREV. CLOSE - Previous Close Value - LTP - Last Traded Price - CHNG - Change in the price - %CHNG - Percentage change - Volume - volume of transaction - Value - Turn over in lakhs - 52W H - 52 Week High price - 52W L - 52 Week Lowest price - 365 D % CHNG - Past 365 Days Change Percentage - 30 D % CHNG - Past 30 Days Change Percentage

    Note : - %CHNG: % change is calculated with respect to adjusted price on ex-date for Corporate Actions like: Dividend, Bonus, Rights & Face Value Split and also adjusted for Past 365 days & 30 days. - 52 W H/L: 52 week High & Low prices are adjusted for Bonus, Split & Rights Corporate actions.

    Acknowledgements : The data is obtained from NSE website This is just daily level data provided here, you will get vast and detailed real-time & historical data from the official website.

    Image Credit : https://gettyimages.com

  6. Market capitalization of NSE in India FY 2012-FY 2017

    • statista.com
    Updated Feb 15, 2017
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    Statista (2017). Market capitalization of NSE in India FY 2012-FY 2017 [Dataset]. https://www.statista.com/statistics/720099/india-market-capitalization-of-nse/
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    Dataset updated
    Feb 15, 2017
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    This statistic represents the market capitalization of the National Stock Exchange (NSE) in India from fiscal year 2012 to fiscal year 2017. During the fiscal year 2016, the National Stock Exchange had a market capitalization just over ** trillion Indian rupees.

  7. Monthly NSE and BSE combined turnover from November 2019 to November 2020

    • statista.com
    Updated Dec 15, 2020
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    Statista (2020). Monthly NSE and BSE combined turnover from November 2019 to November 2020 [Dataset]. https://www.statista.com/statistics/1201700/india-nse-and-bse-monthly-market-turnover/
    Explore at:
    Dataset updated
    Dec 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2019 - Nov 2020
    Area covered
    India
    Description

    In November 2020, the stock market turnover of both National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) in India reached ***** trillion Indian rupees. Over the previous year, the turnover raised significantly from **** trillion Indian rupees in November 2019. Additionally, the stock exchange turnover in India did not face major loss during lockdown and the COVID-19 pandemic, but remained stable.

  8. Dividend yield of broad market indices listed on NSE in India 2025

    • statista.com
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    Statista, Dividend yield of broad market indices listed on NSE in India 2025 [Dataset]. https://www.statista.com/statistics/1461818/india-broad-nse-market-indices-dividend-yield/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In September 2025, among all the indices listed on the National Stock Exchange (NSE) of India, Nifty 100 had the highest dividend yield. This was closely followed by Nifty 200. What are broad market indices? Broad market indices, also called market indices, are utilized to monitor the performance of a collection of stocks that closely mirror the overall stock market. They generally consist of large, liquid stocks listed on the stock exchange. They serve as a benchmark for measuring the performance of the stock market or portfolios such as mutual fund investments. In many broad-based indexes, companies are weighted based on their market value. This means that larger companies carry more weight in determining the index price compared to smaller ones. For instance, in the Nifty-50 index, Cipla, a major pharmaceutical company, has a significant impact, while smaller companies like Natco Pharma have less influence due to their lower market capitalization. What is Nifty 50? Nifty-50 is the flagship index of NSE. It tracks the movement of the portfolio of the ** largest blue-chip companies and most liquid securities in the Indian market. It is extensively used by domestic and foreign investors as the barometer of the Indian capital market. Annual returns of Nifty-50 were around ** percent in fiscal year 2023, indicating strong market performance.

  9. T

    Kenya Stock Market (NSE20) Data

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Kenya Stock Market (NSE20) Data [Dataset]. https://tradingeconomics.com/kenya/stock-market
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Nov 25, 1997 - Dec 2, 2025
    Area covered
    Kenya
    Description

    Kenya's main stock market index, the Nairobi 20, fell to 3024 points on December 2, 2025, losing 0.47% from the previous session. Over the past month, the index has declined 4.11%, though it remains 64.78% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Kenya. Kenya Stock Market (NSE20) - values, historical data, forecasts and news - updated on December of 2025.

  10. Number of companies listed in NSE and BSE across India FY 2008-2025

    • statista.com
    Updated Sep 11, 2025
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    Statista (2025). Number of companies listed in NSE and BSE across India FY 2008-2025 [Dataset]. https://www.statista.com/statistics/731969/india-number-of-companies-listed-in-nse-and-bse/
    Explore at:
    Dataset updated
    Sep 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In financial year 2025, a total of ********** companies were listed in the National Stock Exchange (NSE) and the Bombay Stock Exchange (BSE) across India. This was an increase compared to the previous year.

  11. Dividend yield of sectoral market indices listed on NSE in India 2024

    • statista.com
    Updated Apr 16, 2024
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    Statista (2024). Dividend yield of sectoral market indices listed on NSE in India 2024 [Dataset]. https://www.statista.com/statistics/1461823/india-dividend-yield-of-broad-nse-sectoral-indices/
    Explore at:
    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 16, 2024
    Area covered
    India
    Description

    In April 2024, among all the sectoral indices listed on India's National Stock Exchange (NSE), Nifty Oil & Gas had the highest dividend yield of **** percent. This was closely followed by Nifty IT and Nifty FMCG, with a dividend yield of **** and **** percent respectively.

  12. d

    Year and Month wise Turnover of National Stock Exchange (NSE) and Bombay...

    • dataful.in
    Updated Dec 3, 2025
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    Dataful (Factly) (2025). Year and Month wise Turnover of National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) [Dataset]. https://dataful.in/datasets/17867
    Explore at:
    xlsx, application/x-parquet, csvAvailable download formats
    Dataset updated
    Dec 3, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Turnover
    Description

    The dataset contains Year and Month wise turnover of National Stock Exchange (NSE) and Bombay Stock Exchange (BSE)

  13. Number of companies listed in NSE in India FY 2008-2020

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Number of companies listed in NSE in India FY 2008-2020 [Dataset]. https://www.statista.com/statistics/732046/india-number-of-companies-listed-in-nse/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    The number of companies listed in the National Stock Exchange in India was 1959 in financial year 2020, an increase by **** companies compared to the previous year. Out of these nearly ************ companies there is only *** foreign company listed at the NSE.

  14. t

    NSE Option Chain Data

    • optionchain.timesmedia.co.in
    • optionchain.co.in
    Updated Nov 24, 2025
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    (2025). NSE Option Chain Data [Dataset]. http://www.optionchain.timesmedia.co.in/
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    Dataset updated
    Nov 24, 2025
    Description

    Real-time option chain data from the National Stock Exchange (NSE) for various indices.

  15. d

    Month Wise Market Capitalisation at National Stock Exchange (NSE) and Bombay...

    • dataful.in
    Updated Nov 20, 2025
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    Dataful (Factly) (2025). Month Wise Market Capitalisation at National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) [Dataset]. https://dataful.in/datasets/17853
    Explore at:
    application/x-parquet, csv, xlsxAvailable download formats
    Dataset updated
    Nov 20, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Market Capitalisation
    Description

    The dataset shows Month Wise Market Capitalisation at National Stock Exchange (NSE) and Bombay Stock Exchange (BSE)

    Note: Compilation of all-India market capitalisation has been discontinued by Bombay Stock Exchange Limited (BSE) since August 1999.

  16. J

    Japan Index: Nagoya Stock Exchange (NSE): Option 25 Index: Price

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). Japan Index: Nagoya Stock Exchange (NSE): Option 25 Index: Price [Dataset]. https://www.ceicdata.com/en/japan/all-stock-exchange-market-indices/index-nagoya-stock-exchange-nse-option-25-index-price
    Explore at:
    Dataset updated
    Oct 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
    May 1, 2017 - Apr 1, 2018
    Area covered
    Japan
    Variables measured
    Securities Exchange Index
    Description

    Japan Index: Nagoya Stock Exchange (NSE): Option 25 Index: Price data was reported at 1,104.130 04Jan1988=1000 in Nov 2018. This records a decrease from the previous number of 1,107.090 04Jan1988=1000 for Oct 2018. Japan Index: Nagoya Stock Exchange (NSE): Option 25 Index: Price data is updated monthly, averaging 876.945 04Jan1988=1000 from Jun 1992 (Median) to Nov 2018, with 318 observations. The data reached an all-time high of 1,519.300 04Jan1988=1000 in Jun 2007 and a record low of 577.620 04Jan1988=1000 in May 2012. Japan Index: Nagoya Stock Exchange (NSE): Option 25 Index: Price data remains active status in CEIC and is reported by Nagoya Stock Exchange. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices. Data prior to January 1999 was taken from daily conversion.

  17. T

    BSE SENSEX Stock Market Index Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). BSE SENSEX Stock Market Index Data [Dataset]. https://tradingeconomics.com/india/stock-market
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    excel, json, xml, csvAvailable 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
    Apr 3, 1979 - Dec 2, 2025
    Area covered
    India
    Description

    India's main stock market index, the SENSEX, fell to 85138 points on December 2, 2025, losing 0.59% from the previous session. Over the past month, the index has climbed 1.38% and is up 5.31% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

  18. Stock Market Dataset (NIFTY-500)

    • kaggle.com
    zip
    Updated Jun 10, 2023
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    Sourav Banerjee (2023). Stock Market Dataset (NIFTY-500) [Dataset]. https://www.kaggle.com/datasets/iamsouravbanerjee/nifty500-stocks-dataset
    Explore at:
    zip(35684 bytes)Available download formats
    Dataset updated
    Jun 10, 2023
    Authors
    Sourav Banerjee
    Description

    Context

    NIFTY 500 is India’s first broad-based stock market index of the Indian stock market. It contains the top 500 listed companies on the NSE. The NIFTY 500 index represents about 96.1% of free-float market capitalization and 96.5% of the total turnover on the National Stock Exchange (NSE).

    NIFTY 500 companies are disaggregated into 72 industry indices. Industry weights in the index reflect industry weights in the market. For example, if the banking sector has a 5% weight in the universe of stocks traded on the NSE, banking stocks in the index would also have an approximate representation of 5% in the index. NIFTY 500 can be used for a variety of purposes such as benchmarking fund portfolios, launching index funds, ETFs, and other structured products.

    • Other Notable Indices -
      • NIFTY 50: Top 50 listed companies on the NSE. A diversified 50-stock index accounting for 13 sectors of the Indian economy.
      • NIFTY Next 50: Also called NIFTY Juniors. Represents 50 companies from NIFTY 100 after excluding the NIFTY 50 companies.
      • NIFTY 100: Diversified 100 stock index representing major sectors of the economy. NIFTY 100 represents the top 100 companies based on full market capitalization from NIFTY 500.
      • NIFTY 200: Designed to reflect the behavior and performance of large and mid-market capitalization companies.

    Content

    The dataset comprises various parameters and features for each of the NIFTY 500 Stocks, including Company Name, Symbol, Industry, Series, Open, High, Low, Previous Close, Last Traded Price, Change, Percentage Change, Share Volume, Value in Indian Rupee, 52 Week High, 52 Week Low, 365 Day Percentage Change, and 30 Day Percentage Change.

    Dataset Glossary (Column-Wise)

    Company Name: Name of the Company.

    Symbol: A stock symbol is a unique series of letters assigned to a security for trading purposes.

    Industry: Name of the industry to which the stock belongs.

    Series: EQ stands for Equity. In this series intraday trading is possible in addition to delivery and BE stands for Book Entry. Shares falling in the Trade-to-Trade or T-segment are traded in this series and no intraday is allowed. This means trades can only be settled by accepting or giving the delivery of shares.

    Open: It is the price at which the financial security opens in the market when trading begins. It may or may not be different from the previous day's closing price. The security may open at a higher price than the closing price due to excess demand for the security.

    High: It is the highest price at which a stock is traded during the course of the trading day and is typically higher than the closing or equal to the opening price.

    Low: Today's low is a security's intraday low trading price. Today's low is the lowest price at which a stock trades over the course of a trading day.

    Previous Close: The previous close almost always refers to the prior day's final price of a security when the market officially closes for the day. It can apply to a stock, bond, commodity, futures or option co-contract, market index, or any other security.

    Last Traded Price: The last traded price (LTP) usually differs from the closing price of the day. This is because the closing price of the day on NSE is the weighted average price of the last 30 mins of trading. The last traded price of the day is the actual last traded price.

    Change: For a stock or bond quote, change is the difference between the current price and the last trade of the previous day. For interest rates, change is benchmarked against a major market rate (e.g., LIBOR) and may only be updated as infrequently as once a quarter.

    Percentage Change: Take the selling price and subtract the initial purchase price. The result is the gain or loss. Take the gain or loss from the investment and divide it by the original amount or purchase price of the investment. Finally, multiply the result by 100 to arrive at the percentage change in the investment.

    Share Volume: Volume is an indicator that means the total number of shares that have been bought or sold in a specific period of time or during the trading day. It will also involve the buying and selling of every share during a specific time period.

    Value (Indian Rupee): Market value—also known as market cap—is calculated by multiplying a company's outstanding shares by its current market price.

    52-Week High: A 52-week high is the highest share price that a stock has traded at during a passing year. Many market aficionados view the 52-week high as an important factor in determining a stock's current value and predicting future price movement. 52-week High prices are adjusted for Bonus, Split & Rights Corporate actions.

    52-Week Low: A 52-week low is the lowest ...

  19. m

    Kenya Nairobi Securities Exchange (NSE) All Stocks Prices 2023-2024

    • data.mendeley.com
    Updated Nov 17, 2025
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    Barack Wanjawa (2025). Kenya Nairobi Securities Exchange (NSE) All Stocks Prices 2023-2024 [Dataset]. http://doi.org/10.17632/ss5pfw8xnk.3
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    Dataset updated
    Nov 17, 2025
    Authors
    Barack Wanjawa
    License

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

    Area covered
    Kenya
    Description

    This compilation of historical daily stock market price data relates to the Kenyan Nairobi Securities Exchange (NSE) for 2023 and 2024. This data is valuable for any machine learning algorithm that needs data (training, validation, testing). This compilation develops on an earlier dataset (2008-2012) that was initially compiled as part of a research project to predict next day stock price, based on the previous five days, using Artificial Neural Networks (ANN). This initial research [1],[2] tested 6 stocks [3] using ANN of configuration 5:21:21:1. The data was then enhanced as a new compilation of all stocks for the period 2007-2012 [4].

    This new dataset augments the NSE dataset for 2007-2012 [4], 2013 to 2020 [5], 2021 [6] and 2022 [7]. The data was scrapping from a publicly accessible website [8] licensed by NSE by exporting raw web data to spreadsheets, then cleaning it up to final CSV.

    Just like the previous compilations, each stock data row has 13 data columns (1)Date (2)Stock Code (3)Stock Name (4)12-month Low price (5)12-month High price (6)Day's Low price (7)Day's High price (8)Day's Final Price (9)Previous traded price (10)Change in price value (11)Change in price % (12)Volume traded (13)Adjusted price. One additional CSV file is also provided to show the stocks market sector, with 3 columns as: (1)Market sector (2)Stock Code (3)Stock Name.

    This additional dataset provides researchers with an even larger dataset (2007-2024) of stocks market data including market sector information for bigger opportunities of data analysis and usage in machine learning research.

    List of data files on this dataset: NSE_data_all_stocks_2023.csv NSE_data_all_stocks_2024.csv NSE_data_stock_market_sectors_2023_2024.csv

    References: [1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi). [2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. [3] Wanjawa, Barack (2020), “Nairobi Securities Exchange Prices 2008-2012 for 6 selected stocks”, Mendeley Data, v3, http://dx.doi.org/10.17632/95fb84nzcd.3 [4] Wanjawa, Barack (2020), “Nairobi Securities Exchange All Stocks Prices 2007-2012”, Mendeley Data, v1, http://dx.doi.org/10.17632/5hk4zw32f5.1 [5] Wanjawa, Barack (2021), “Nairobi Securities Exchange (NSE) All Stocks Prices 2013-2020”, Mendeley Data, V2, doi: 10.17632/73rb78pmzw.2 [6] Wanjawa, Barack (2022), “Nairobi Securities Exchange (NSE) Kenya - All Stocks Prices 2021”, Mendeley Data, V5, doi: 10.17632/97hkwn5y3x.5 [7] Wanjawa, Barack (2024), “Kenya Nairobi Securities Exchange (NSE) All Stocks Prices 2022”, Mendeley Data, V2, doi: 10.17632/jmcdmnyh2s.2 [8] Synergy Systems Ltd. (2023). MyStocks. Retrieved Jan 31, 2023, from http://live.mystocks.co.ke/

  20. J

    Japan Index: NSE: Stock Price Index: 1st Section Nagoya Issues

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). Japan Index: NSE: Stock Price Index: 1st Section Nagoya Issues [Dataset]. https://www.ceicdata.com/en/japan/all-stock-exchange-market-indices/index-nse-stock-price-index-1st-section-nagoya-issues
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    Dataset updated
    Oct 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
    May 1, 2017 - Apr 1, 2018
    Area covered
    Japan
    Variables measured
    Securities Exchange Index
    Description

    Japan Index: NSE: Stock Price Index: 1st Section Nagoya Issues data was reported at 3,368.710 04Jan1968=100 in Oct 2018. This records a decrease from the previous number of 3,749.150 04Jan1968=100 for Sep 2018. Japan Index: NSE: Stock Price Index: 1st Section Nagoya Issues data is updated monthly, averaging 2,038.020 04Jan1968=100 from Feb 1999 (Median) to Oct 2018, with 237 observations. The data reached an all-time high of 3,994.950 04Jan1968=100 in May 2015 and a record low of 1,381.220 04Jan1968=100 in Mar 2003. Japan Index: NSE: Stock Price Index: 1st Section Nagoya Issues data remains active status in CEIC and is reported by Nagoya Stock Exchange. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices.

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Larxel (2022). India Stock Market (daily updated) [Dataset]. https://www.kaggle.com/datasets/andrewmvd/india-stock-market
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India Stock Market (daily updated)

Daily Updated Data on ALL Stocks Listed in the NSE

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3 scholarly articles cite this dataset (View in Google Scholar)
zip(72359394 bytes)Available download formats
Dataset updated
Jan 31, 2022
Authors
Larxel
License

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

Area covered
India
Description

About this dataset

India's National Stock Exchange (NSE) has a total market capitalization of more than US$3.4 trillion, making it the world's 10th-largest stock exchange as of August 2021, with a trading volume of ₹8,998,811 crore (US$1.2 trillion) and more 2000 total listings.

NSE's flagship index, the NIFTY 50, is a 50 stock index is used extensively by investors in India and around the world as a barometer of the Indian capital market.

This dataset contains data of all company stocks listed in the NSE, allowing anyone to analyze and make educated choices about their investments, while also contributing to their countries economy.

How to use this dataset

  • Create a time series regression model to predict NIFTY-50 value and/or stock prices.
  • Explore the most the returns, components and volatility of the stocks.
  • Identify high and low performance stocks among the list.

Highlighted Notebooks

Acknowledgements

License

CC0: Public Domain

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