100+ datasets found
  1. T

    NSE Nifty 50 Index - Index Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 12, 2017
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    TRADING ECONOMICS (2017). NSE Nifty 50 Index - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/nifty:ind
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 12, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Jul 13, 2025
    Description

    Prices for NSE Nifty 50 Index including live quotes, historical charts and news. NSE Nifty 50 Index was last updated by Trading Economics this July 13 of 2025.

  2. Dividend yield of broad market indices listed on NSE in India 2024

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Dividend yield of broad market indices listed on NSE in India 2024 [Dataset]. https://www.statista.com/statistics/1461818/india-broad-nse-market-indices-dividend-yield/
    Explore at:
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 16, 2024
    Area covered
    India
    Description

    In April 2024, among all the indices listed on the National Stock Exchange (NSE) of India, Nifty 50 had the highest dividend yield of *** percent. This was closely followed by Nifty 100 and Nifty Next **, both with a dividend yield of **** percent, respectively.

    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.

  3. 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 - Jul 11, 2025
    Area covered
    Nigeria
    Description

    Nigeria's main stock market index, the NSE-All Share, rose to 126150 points on July 11, 2025, gaining 1.37% from the previous session. Over the past month, the index has climbed 9.29% and is up 26.57% compared to the same time last year, 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 July of 2025.

  4. Annual performance of the Nifty 50 Index in India 2010-2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Annual performance of the Nifty 50 Index in India 2010-2024 [Dataset]. https://www.statista.com/statistics/886446/india-yearly-development-of-the-nifty-50-index/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    This statistic depicts the average annual performance of the Nifty 50 Index in India from years 2011 to 2024. In 2024, the average annual Nifty 50 Index was reported as ********, an increase from the previous year where the value was ********.

  5. T

    BSE SENSEX Stock Market Index Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, BSE SENSEX Stock Market Index Data [Dataset]. https://tradingeconomics.com/india/stock-market
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Apr 3, 1979 - Jul 14, 2025
    Area covered
    India
    Description

    India's main stock market index, the SENSEX, fell to 82253 points on July 14, 2025, losing 0.30% from the previous session. Over the past month, the index has climbed 0.56% and is up 1.97% 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 July of 2025.

  6. NIFTY 50 NSE Index Price

    • kaggle.com
    Updated Aug 12, 2024
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    Archisman Karmakar (2024). NIFTY 50 NSE Index Price [Dataset]. https://www.kaggle.com/datasets/archismancoder/nifty-50-nse/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 12, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Archisman Karmakar
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    This dataset contains historical data of the NSE main Index NIFTY 50 which lists the top 50 companies in India. It contains the opening, closing, high, low, adj close, volume data of the NIFTY 50 index from 2007 to 2024.

  7. Nigeria Equity Market Index

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Nigeria Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/nigeria/equity-market-index
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Nigeria
    Variables measured
    Securities Exchange Index
    Description

    Key information about Nigeria NSE All Share

    • Nigeria NSE All Share closed at 107,821.4 points in Feb 2025, compared with 104,496.1 points at the previous month end
    • Nigeria Equity Market Index: Month End: NSE All Share data is updated monthly, available from Jan 1985 to Feb 2025, with an average number of 21,486.6 points
    • The data reached an all-time high of 107,821.4 points in Feb 2025 and a record low of 111.3 points in Jan 1985




    Further information about Nigeria NSE All Share

    • In the latest reports, Weighted Equities recorded a yearly P/E ratio of 108.0 in Dec 2021

  8. Japan Index: NSE: Stock Price Index: 2nd Section Composite

    • ceicdata.com
    Updated Apr 15, 2018
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    CEICdata.com (2018). Japan Index: NSE: Stock Price Index: 2nd Section Composite [Dataset]. https://www.ceicdata.com/en/japan/all-stock-exchange-market-indices/index-nse-stock-price-index-2nd-section-composite
    Explore at:
    Dataset updated
    Apr 15, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    Japan
    Variables measured
    Securities Exchange Index
    Description

    Japan Index: NSE: Stock Price Index: 2nd Section Composite data was reported at 3,638.890 04Jan1968=100 in Oct 2018. This records an increase from the previous number of 3,634.600 04Jan1968=100 for Sep 2018. Japan Index: NSE: Stock Price Index: 2nd Section Composite data is updated monthly, averaging 1,350.530 04Jan1968=100 from Feb 1999 (Median) to Oct 2018, with 237 observations. The data reached an all-time high of 3,655.090 04Jan1968=100 in Jul 2018 and a record low of 871.670 04Jan1968=100 in Nov 2002. Japan Index: NSE: Stock Price Index: 2nd Section Composite 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.

  9. d

    All India Daily NSE Index Values – NSE-S&P CNX 500 and Nifty 50

    • dataful.in
    Updated Jul 1, 2025
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    Dataful (Factly) (2025). All India Daily NSE Index Values – NSE-S&P CNX 500 and Nifty 50 [Dataset]. https://dataful.in/datasets/17551
    Explore at:
    xlsx, application/x-parquet, csvAvailable download formats
    Dataset updated
    Jul 1, 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
    National Stock Exchange Indices
    Description

    The dataset contains All India Daily NSE Index Values – NSE-S&P CNX 500 and Nifty 50

    Note: 1. CNX Nifty has been rebranded as Nifty 50 w.e.f November 09, 2015.

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

    • ceicdata.com
    Updated Apr 15, 2023
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    CEICdata.com (2023). 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
    Apr 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    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.

  11. Monthly performance of the S&P BSE Sensex Index in India 2017-2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Monthly performance of the S&P BSE Sensex Index in India 2017-2024 [Dataset]. https://www.statista.com/statistics/886630/india-monthly-development-of-the-sandp-bse-sensex-index/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2017 - Sep 2024
    Area covered
    India
    Description

    The S&P BSE Sensex index, one of India's two main stock indices, lost almost *********** of its value between the end of February and the end of March 2020, owing to the economic impact of the global coronavirus (COVID-19) pandemic. It has since recovered, surpassing its pre-corona level in *************.The S&P BSE Sensex index includes 30 companies listed on the Bombay Stock Exchange which are representative of various industrial sectors of the Indian economy. It is considered one of the main Indicators of the Indian stock market, along with the CNX Nifty Index (which includes shares from India's other main stock exchange, the National Stock Exchange).

  12. End-of-Day Pricing Market Data Kenya Techsalerator

    • kaggle.com
    Updated Aug 23, 2023
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    Techsalerator (2023). End-of-Day Pricing Market Data Kenya Techsalerator [Dataset]. https://www.kaggle.com/datasets/techsalerator/end-of-day-pricing-market-data-kenya-techsalerator
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Techsalerator
    Description

    Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 66 companies listed on the Nairobi Securities Exchange (XNAI) in Kenya. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

    Top 5 used data fields in the End-of-Day Pricing Dataset for Kenya:

    1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

    2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

    3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

    4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

    5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

    Top 5 financial instruments with End-of-Day Pricing Data in Kenya:

    Nairobi Securities Exchange All Share Index (NASI): The main index that tracks the performance of all companies listed on the Nairobi Securities Exchange (NSE). NASI provides insights into the overall market performance in Kenya.

    Nairobi Securities Exchange 20 Share Index (NSE 20): An index that tracks the performance of the top 20 companies by market capitalization listed on the NSE. NSE 20 is an important benchmark for the Kenyan stock market.

    Safaricom PLC: A leading telecommunications company in Kenya, offering mobile and internet services. Safaricom is one of the largest and most actively traded companies on the NSE.

    Equity Group Holdings PLC: A prominent financial institution in Kenya, providing banking and financial services. Equity Group is a significant player in the Kenyan financial sector and is listed on the NSE.

    KCB Group PLC: Another major financial institution in Kenya, offering banking and financial services. KCB Group is also listed on the NSE and is among the key players in the country's banking industry.

    If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Kenya, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

    Data fields included:

    Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

    Q&A:

    1. How much does the End-of-Day Pricing Data cost in Kenya ?

    The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

    1. How complete is the End-of-Day Pricing Data coverage in Kenya?

    Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Kenya exchanges.

    1. How does Techsalerator collect this data?

    Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

    1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

    Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

    1. How do I pay for this dataset?

    Techsalerator accepts various payment methods, including credit cards, direct transfers, ACH, and wire transfers, facilitating a convenient and se...

  13. T

    Nigerian Stock Exchange All Share Index - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). Nigerian Stock Exchange All Share Index - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/ngseindx:ind
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Jul 13, 2025
    Area covered
    Nigeria
    Description

    Prices for Nigerian Stock Exchange All Share Index including live quotes, historical charts and news. Nigerian Stock Exchange All Share Index was last updated by Trading Economics this July 13 of 2025.

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

    • dr.ceicdata.com
    • ceicdata.com
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    CEICdata.com, Japan Index: NSE: Stock Price Index: 1st Section Nagoya Issues [Dataset]. https://www.dr.ceicdata.com/en/japan/all-stock-exchange-market-indices/index-nse-stock-price-index-1st-section-nagoya-issues
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    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.

  15. Market Data INDICIES(1).xlsx

    • figshare.com
    xlsx
    Updated Jul 5, 2018
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    Rotimi Obasa; Nigerian Stock Exchange (2018). Market Data INDICIES(1).xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.6752591.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 5, 2018
    Dataset provided by
    figshare
    Authors
    Rotimi Obasa; Nigerian Stock Exchange
    License

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

    Description

    A List of top 30 Listed companies on Nigeria Stock Exchange as at April 2018 with their Capitalization Value and Ranking. We also Include a computation of proportion of the NSE controlled by the NSE 30 Index by dividing the total Market Capitalization for the NSE 30 Index by total market Capitalization for the whole NSE. In addition we compute the the ratio of Non-Financial services companies and Financial services companies as a percentage the whole value of NSE Market Capitalization

  16. Nigeria Equity Market Index: Month End: NSE All Share: Quarterly

    • ceicdata.com
    Updated Jun 2, 2018
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    CEICdata.com (2018). Nigeria Equity Market Index: Month End: NSE All Share: Quarterly [Dataset]. https://www.ceicdata.com/en/nigeria/nigeria-stock-exchange-index
    Explore at:
    Dataset updated
    Jun 2, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Sep 1, 2015 - Jun 1, 2018
    Area covered
    Nigeria
    Variables measured
    Securities Exchange Index
    Description

    Equity Market Index: Month End: NSE All Share: Quarterly data was reported at 32,766.370 03Jan1984=100 in Sep 2018. This records a decrease from the previous number of 38,278.550 03Jan1984=100 for Jun 2018. Equity Market Index: Month End: NSE All Share: Quarterly data is updated quarterly, averaging 10,963.100 03Jan1984=100 from Mar 1985 (Median) to Sep 2018, with 135 observations. The data reached an all-time high of 63,016.560 03Jan1984=100 in Mar 2008 and a record low of 113.400 03Jan1984=100 in Mar 1985. Equity Market Index: Month End: NSE All Share: Quarterly data remains active status in CEIC and is reported by Central Bank of Nigeria. The data is categorized under Global Database’s Nigeria – Table NG.Z001: Nigeria Stock Exchange: Index.

  17. Japan Index: NSE: Stock Price Index: 1st Section Composite

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan Index: NSE: Stock Price Index: 1st Section Composite [Dataset]. https://www.ceicdata.com/en/japan/all-stock-exchange-market-indices/index-nse-stock-price-index-1st-section-composite
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    Japan
    Variables measured
    Securities Exchange Index
    Description

    Japan Index: NSE: Stock Price Index: 1st Section Composite data was reported at 1,296.280 04Jan1968=100 in Oct 2018. This records a decrease from the previous number of 1,416.020 04Jan1968=100 for Sep 2018. Japan Index: NSE: Stock Price Index: 1st Section Composite data is updated monthly, averaging 1,115.530 04Jan1968=100 from Feb 1999 (Median) to Oct 2018, with 237 observations. The data reached an all-time high of 1,842.610 04Jan1968=100 in Jun 2007 and a record low of 672.580 04Jan1968=100 in May 2012. Japan Index: NSE: Stock Price Index: 1st Section Composite 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.

  18. National Stock Exchange : Time Series

    • kaggle.com
    Updated Dec 4, 2019
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    Atul Anand {Jha} (2019). National Stock Exchange : Time Series [Dataset]. https://www.kaggle.com/atulanandjha/national-stock-exchange-time-series/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 4, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Atul Anand {Jha}
    License

    http://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html

    Description

    Context

    The National Stock Exchange of India Ltd. (NSE) is an Indian stock exchange located at Mumbai, Maharashtra, India. National Stock Exchange (NSE) was established in 1992 as a demutualized electronic exchange. It was promoted by leading financial institutions on request of the Government of India. It is India’s largest exchange by turnover. In 1994, it launched electronic screen-based trading. Thereafter, it went on to launch index futures and internet trading in 2000, which were the first of its kind in the country.

    With the help of NSE, you can trade in the following segments:

    • Equities

    • Indices

    • Mutual Funds

    • Exchange Traded Funds

    • Initial Public Offerings

    • Security Lending and Borrowing Scheme

    https://cdn6.newsnation.in/images/2019/06/24/Sharemarket-164616041_6.jpg" alt="Stock image">

    Companies on successful IPOs gets their Stocks traded over different Stock Exchnage platforms. NSE is one important platofrm in India. There are thousands of companies trading their stocks in NSE. But, I have chosen two popular and high rated IT service companies of India; TCS and INFOSYS. and the third one is the benchmark for Indian IT companies , i.e. NIFTY_IT_INDEX .

    Content

    The dataset contains three csv files. Each resembling to INFOSYS, NIFTY_IT_INDEX, and TCS, respectively. One can easily identify that by the name of CSV files.

    Timeline of Data recording : 1-1-2015 to 31-12-2015.

    Source of Data : Official NSE website.

    Method : We have used the NSEpy api to fetch the data from NSE site. I have also mentioned my approach in this Kernel - "**WebScraper to download data for NSE**". Please go though that to better understand the nature of this dataset.

    Shape of Dataset:

    INFOSYS - 248 x 15 || NIFTY_IT_INDEX - 248 x 7 || **TCS - 248 x 15

    • Colum Descriptors:

    • Date: date on which data is recorded

    • Symbol: NSE symbol of the stock

    • Series: Series of that stock | EQ - Equity

    OTHER SERIES' ARE:

    EQ: It stands for Equity. In this series intraday trading is possible in addition to delivery.

    BE: It 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.

    BL: This series is for facilitating block deals. Block deal is a trade, with a minimum quantity of 5 lakh shares or minimum value of Rs. 5 crore, executed through a single transaction, on the special “Block Deal window”. The window is opened for only 35 minutes in the morning from 9:15 to 9:50AM.

    BT: This series provides an exit route to small investors having shares in the physical form with a cap of maximum 500 shares.

    GC: This series allows Government Securities and Treasury Bills to be traded under this category.

    IL: This series allows only FIIs to trade among themselves. Permissible only in those securities where maximum permissible limit for FIIs is not breached.

    • Prev Close: Last day close point

    • Open: current day open point

    • High: current day highest point

    • Low: current day lowest point

    • Last: the final quoted trading price for a particular stock, or stock-market index, during the most recent day of trading.

    • Close: Closing point for the current day

    • VWAP: volume-weighted average price is the ratio of the value traded to total volume traded over a particular time horizon

    • Volume: the amount of a security that was traded during a given period of time. For every buyer, there is a seller, and each transaction contributes to the count of total volume.

    • Turnover: Total Turnover of the stock till that day

    • Trades: Number of buy or Sell of the stock.

    • Deliverable: Volumethe quantity of shares which actually move from one set of people (who had those shares in their demat account before today and are selling today) to another set of people (who have purchased those shares and will get those shares by T+2 days in their demat account).

    • %Deliverble: percentage deliverables of that stock

    Acknowledgements

    I woul dlike to acknowledge all my sincere thanks to the brains behind NSEpy api, and in particular SWAPNIL JARIWALA , who is also maintaining an amazing open source github repo for this api.

    Inspiration

    I have also built a starter kernel for this dataset. You can find that right here .

    I am so excited to see your magical approaches for the same dataset.

    THANKS!

  19. Japan Index: NSE: Stock Price Index: 2nd Section Nagoya Issues

    • ceicdata.com
    • dr.ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan Index: NSE: Stock Price Index: 2nd Section Nagoya Issues [Dataset]. https://www.ceicdata.com/en/japan/all-stock-exchange-market-indices/index-nse-stock-price-index-2nd-section-nagoya-issues
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    Japan
    Variables measured
    Securities Exchange Index
    Description

    Japan Index: NSE: Stock Price Index: 2nd Section Nagoya Issues data was reported at 4,964.590 04Jan1968=100 in Oct 2018. This records a decrease from the previous number of 5,244.000 04Jan1968=100 for Sep 2018. Japan Index: NSE: Stock Price Index: 2nd Section Nagoya Issues data is updated monthly, averaging 1,898.190 04Jan1968=100 from Feb 1999 (Median) to Oct 2018, with 237 observations. The data reached an all-time high of 5,244.000 04Jan1968=100 in Sep 2018 and a record low of 1,228.080 04Jan1968=100 in Dec 2002. Japan Index: NSE: Stock Price Index: 2nd 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.

  20. A

    ‘NIFTY-50 Stocks Dataset’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Aug 4, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘NIFTY-50 Stocks Dataset’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-nifty-50-stocks-dataset-9575/b7837ff9/?iid=001-767&v=presentation
    Explore at:
    Dataset updated
    Aug 4, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘NIFTY-50 Stocks Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/iamsouravbanerjee/nifty50-stocks-dataset on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. It is one of the two main stock indices used in India, the other being the BSE SENSEX.

    Nifty 50 is owned and managed by NSE Indices (previously known as India Index Services & Products Limited), which is a wholly-owned subsidiary of the NSE Strategic Investment Corporation Limited. NSE Indices had a marketing and licensing agreement with Standard & Poor's for co-branding equity indices until 2013. The Nifty 50 index was launched on 22 April 1996, and is one of the many stock indices of Nifty.

    The NIFTY 50 index has shaped up to be the largest single financial product in India, with an ecosystem consisting of exchange-traded funds (onshore and offshore), exchange-traded options at NSE, and futures and options abroad at the SGX. NIFTY 50 is the world's most actively traded contract. WFE, IOM, and FIA surveys endorse NSE's leadership position.

    The NIFTY 50 index covers 13 sectors (as of 30 April 2021) of the Indian economy and offers investment managers exposure to the Indian market in one portfolio. Between 2008 & 2012, the NIFTY 50 index's share of NSE's market capitalization fell from 65% to 29% due to the rise of sectoral indices like NIFTY Bank, NIFTY IT, NIFTY Pharma, NIFTY SERV SECTOR, NIFTY Next 50, etc. The NIFTY 50 Index gives a weightage of 39.47% to financial services, 15.31% to Energy, 13.01% to IT, 12.38% to consumer goods, 6.11% to Automobiles a and 0% to the agricultural sector.

    The NIFTY 50 index is a free-float market capitalization weighted index. The index was initially calculated on a full market capitalization methodology. On 26 June 2009, the computation was changed to a free-float methodology. The base period for the NIFTY 50 index is 3 November 1995, which marked the completion of one year of operations of the National Stock Exchange Equity Market Segment. The base value of the index has been set at 1000 and a base capital of ₹ 2.06 trillion.

    Content

    In this Dataset, we have records of all the NIFTY-50 stocks along with various parameters.

    Important Note

    • % change is calculated with respect to adjusted price on ex-date for Dividend, Bonus, Rights & Face Value Split.
    • 52 weeks high & 52 week low prices are adjusted for Bonus, Split & Rights Corporate actions.
    • 365 days % Change and 30 days % Change values are adjusted With respect to corporate actions.

    Acknowledgements

    For more, you can visit the website of the National Stock Exchange of India Limited (NSE): https://www1.nseindia.com/

    --- Original source retains full ownership of the source dataset ---

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TRADING ECONOMICS (2017). NSE Nifty 50 Index - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/nifty:ind

NSE Nifty 50 Index - Index Price | Live Quote | Historical Chart

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xml, csv, excel, jsonAvailable download formats
Dataset updated
Jul 12, 2017
Dataset authored and provided by
TRADING ECONOMICS
License

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

Time period covered
Jan 1, 2000 - Jul 13, 2025
Description

Prices for NSE Nifty 50 Index including live quotes, historical charts and news. NSE Nifty 50 Index was last updated by Trading Economics this July 13 of 2025.

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