100+ datasets found
  1. NSE - Nifty 50 Index Minute data (2015 to 2026)

    • kaggle.com
    zip
    Updated Jan 23, 2026
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    Deba (2026). NSE - Nifty 50 Index Minute data (2015 to 2026) [Dataset]. https://www.kaggle.com/datasets/debashis74017/nifty-50-minute-data
    Explore at:
    zip(260439549 bytes)Available download formats
    Dataset updated
    Jan 23, 2026
    Authors
    Deba
    License

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

    Description

    UPDATED EVERY WEEK Last Update - 26th July 2025

    Disclaimer!!! Data uploaded here are collected from the internet and some google drive. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either money or any favor) for this dataset. RESEARCH PURPOSE ONLY

    Context

    • The NIFTY 50 is a well-diversified 50 stock index and it represents 13 important sectors of the economy.
    • It is used for a variety of purposes such as benchmarking fund portfolios, index-based derivatives, and index funds.
    • NIFTY 50 is owned and managed by NSE Indices Limited.
    • The NIFTY 50 index has shaped up to be the largest single financial product in India.

    This data contains all the indices of NSE. NIFTY 50, NIFTY BANK, NIFTY 100, NIFTY COMMODITIES, NIFTY CONSUMPTION, NIFTY FIN SERVICE, NIFTY IT, NIFTY INFRA, NIFTY ENERGY, NIFTY FMCG, NIFTY AUTO, NIFTY 200, NIFTY ALPHA 50, NIFTY 500, NIFTY CPSE, NIFTY GS COMPSITE, NIFTY HEALTHCARE, NIFTY CONSR DURBL, NIFTY LARGEMID250, NIFTY INDIA MFG, NIFTY IND DIGITAL, INDIA VIX

    File Information and Column Descriptions.

    Nifty 50 index data with 1 minute data. The dataset contains OHLC (Open, High, Low, and Close) prices from Jan 2015 to Aug 2024. - This dataset can be used for time series analysis, regression problems, and time series forecasting both for one step and multi-step ahead in the future. - Options data can be integrated with this minute data, to get more insight about this data. - Different backtesting strategies can be built on this data.

    File Information

    • This dataset contains 6 files, each file contains nifty 50 data with different intervals.
    • Different intervals are - 1 min, 3 min, 5 min, 15 min, and 1 hour, Daily data from intervals of 2015 Jan to 2024 August.

    Column Descriptors

    • Each file contains OHLC (Open, High, Low, and Close) prices and Data time information. Since these are Nifty 50 index data, so volume is not present.

    Inspiration

    Time series forecasting - Predict stock price

    • Predict future stock price one step ahead and multi-step ahead in time.
    • Use different time series forecasting techniques for forecasting the future stock price. ### Machine learning and Deep learning techniques
    • Possible ML and DL models include Neural networks, RNNs, LSTMs, Transformers, Attention networks, etc.
    • Different error functions can be considered like RMSE, MAE, RMSEP etc. ### Feature engineering
    • Different augmented features can be created and that can be used for forecasting.
    • Correlation analysis, Feature importance to justify the important features.
  2. T

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

    • 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 | Trading Economics [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 - Mar 28, 2026
    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 March 28 of 2026.

  3. 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
    Explore at:
    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.

  4. ALGO TRADING DATA - Nifty 500 intraday data (2026)

    • kaggle.com
    zip
    Updated Jan 26, 2026
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    Deba (2026). ALGO TRADING DATA - Nifty 500 intraday data (2026) [Dataset]. https://www.kaggle.com/datasets/debashis74017/algo-trading-data-nifty-100-data-with-indicators
    Explore at:
    zip(3974201900 bytes)Available download formats
    Dataset updated
    Jan 26, 2026
    Authors
    Deba
    License

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

    Description

    Last Update -25th JAN 2026

    Disclaimer!!! Data uploaded here are collected from the internet and some google drive. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either money or any favor) for this dataset. RESEARCH PURPOSE ONLY

    THIS IS THE LARGEST DATASET ON NIFTY 100 STOCKS WITH EACH MINUTES AND DAILY DATA (2015 to 2026)

    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 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 This dataset contains Nifty 100 historical daily prices. The historical data are retrieved from the NSE India website. Each stock in this Nifty 500 and are of 1 minute itraday data.

    Every dataset contains the following fields. Open - Open price of the stock High - High price of the stock Low - Low price of the stock Close - Close price of the stock Volume - Volume traded of the stock in this time frame

    Inspiration

    • Data is uploaded for Research and Educational purposes.
    • The data scientists and researchers can download and can build EDA, find Correlations, and perform Regression analysis on it.
    • Quant researchers can build strategies and backtest their strategies with this dataset.

    Stock Names

    | ACC | ADANIENT | ADANIGREEN | ADANIPORTS | AMBUJACEM | | -- | -- | -- | -- | -- | | APOLLOHOSP | ASIANPAINT | AUROPHARMA | AXISBANK | BAJAJ-AUTO | | BAJAJFINSV | BAJAJHLDNG | BAJFINANCE | BANDHANBNK | BANKBARODA | | BERGEPAINT | BHARTIARTL | BIOCON | BOSCHLTD | BPCL | | BRITANNIA | CADILAHC | CHOLAFIN | CIPLA | COALINDIA | | COLPAL | DABUR | DIVISLAB | DLF | DMART | | DRREDDY | EICHERMOT | GAIL | GLAND | GODREJCP | | GRASIM | HAVELLS | HCLTECH | HDFC | HDFCAMC | | HDFCBANK | HDFCLIFE | HEROMOTOCO | HINDALCO | HINDPETRO | | HINDUNILVR | ICICIBANK | ICICIGI | ICICIPRULI | IGL | | INDIGO | INDUSINDBK | INDUSTOWER | INFY | IOC | | ITC | JINDALSTEL | JSWSTEEL | JUBLFOOD | KOTAKBANK | | LICI | LT | LTI | LUPIN | M&M | | MARICO | MARUTI | MCDOWELL-N | MUTHOOTFIN | NAUKRI | | NESTLEIND | NIFTY 50 | NIFTY BANK | NMDC | NTPC | | ONGC | PEL | PGHH | PIDILITIND | PIIND | | PNB | POWERGRID | RELIANCE | SAIL | SBICARD | | SBILIFE | SBIN | SHREECEM | SIEMENS | SUNPHARMA | | TATACONSUM | TATAMOTORS | TATASTEEL | TCS | TECHM | | TITAN | TORNTPHARM | ULTRACEMCO | UPL | VEDL | | WIPRO | YESBANK | | | |

  5. I

    India Equity Market Index

    • ceicdata.com
    Updated Feb 15, 2026
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    CEICdata.com (2026). India Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/india/equity-market-index
    Explore at:
    Dataset updated
    Feb 15, 2026
    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
    Jan 1, 2025 - Dec 1, 2025
    Area covered
    India
    Variables measured
    Securities Exchange Index
    Description

    Key information about India Sensitive 30 (Sensex)

    • India Sensitive 30 (Sensex) closed at 85,220.6 points in Dec 2025, compared with 85,706.7 points at the previous month end
    • India Equity Market Index: Month End: BSE: Sensitive 30 (Sensex) data is updated monthly, available from Apr 1979 to Dec 2025, with an average number of 3,181.2 points
    • The data reached an all-time high of 85,706.7 points in Nov 2025 and a record low of 115.6 points in Nov 1979

    [COVID-19-IMPACT]


    Further information about India Sensitive 30 (Sensex)

    • In the latest reports, SENSEX recorded a daily P/E ratio of 23.7 in Jan 2026

  6. T

    Nairobi Securities Exchange Ltd All Share Index - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
    + more versions
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    TRADING ECONOMICS (2017). Nairobi Securities Exchange Ltd All Share Index - Index Price | Live Quote | Historical Chart | Trading Economics [Dataset]. https://tradingeconomics.com/nseasi:ind
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 28, 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 - Mar 27, 2026
    Area covered
    Kenya
    Description

    Prices for Nairobi Securities Exchange Ltd All Share Index including live quotes, historical charts and news. Nairobi Securities Exchange Ltd All Share Index was last updated by Trading Economics this March 27 of 2026.

  7. Stock Market Index Data India (1990 - 2022)

    • kaggle.com
    zip
    Updated Mar 5, 2025
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    Deba (2025). Stock Market Index Data India (1990 - 2022) [Dataset]. https://www.kaggle.com/datasets/debashis74017/stock-market-index-data-india-1990-2022
    Explore at:
    zip(8476009 bytes)Available download formats
    Dataset updated
    Mar 5, 2025
    Authors
    Deba
    License

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

    Area covered
    India
    Description

    Disclaimer!!! Data uploaded here are collected from the internet. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either monetary or any favor) for this dataset.

    Overview

    This dataset contains historical daily prices for indices currently trading on the Indian Stock Market. The historical data are retrieved from the NSE India website. Daily gold price from 1979 to 2022 in INR is uploaded here.

    • Premier
      • PE, P/B, Div Yield Data.
      • Gold price to INR Data.

    Content

    This data contains daily OHLC data for all indices in NSE from 1990 to 2022. Along with Indices OHLC data, there are PE(Price to Earning ratio), P/B (Price to book value), and Dividend Yield data also available for all indices. Lastly, Volatility Index (VIX) data is also available from 1990 to 2022.

    For Example - - "Nifty 50 data" contains the below columns: 1. Date - Date of observation 2. Open - Open price of the index on a particular day 3. High - High price of the index on a particular day 4. Low - Low price of the index on a particular day 5. Close - Close price of the index on a particular day - "NIFTY 50 - HistoricalPE_PBDIV_Data" contains the below columns: 1. Date - Date of observation 2. P/E - Price to Earnings Ratio 3. P/B - Price-to-book value 4. Div Yield % - Dividend Yield = Cash Dividend per share / Market Price per share * 100

    • "Gold price INR.csv" contains Date and Gold price (INR per troy ounce). Where 1 Troy ounce = 31.1035 gram

    The list of indices is: 1. NIFTY 50
    2. NIFTY 100
    3. NIFTY BANK
    4. NIFTY COMMODITIES 5. NIFTY ENERGY
    6. NIFTY FMCG 7. NIFTY HOUSING
    8. NIFTY INDIA MANUFACTURING 9. NIFTY INFRASTRUCTURE
    10. NIFTY IT 11. NIFTY MEDIA
    12. NIFTY METAL 13. NIFTY MIDCAP 100
    14. NIFTY NEXT 50 15. NIFTY OIL & GAS
    16. NIFTY PHARMA 17. NIFTY PRIVATE BANK 18. NIFTY PSU BANK 19. NIFTY AUTO 20. VIX History

    Inspiration

    • Data is uploaded for Research and Educational purposes.
    • The data scientists and researchers can download any index OHLC data, along with P/B, PE, and Dividend Yield values and VIX data.
    • Even Gold prices can help researchers to get more insight into their investment decisions.
    • A time series forecasting for future index price, based on multiple features along with OHLC data and P/B, P/E, and Div Yield percentage, VIX.

    Data Source

    For the gold price - https://gold.org For stock indices - https://www.niftyindices.com/reports/historical-data

  8. d

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

    • dataful.in
    Updated Mar 5, 2026
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    Dataful (Factly) (2026). 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
    Mar 5, 2026
    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.

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

    • statista.com
    Updated Mar 3, 2026
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    Statista (2026). 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
    Mar 3, 2026
    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 ********.

  10. J

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

    • ceicdata.com
    Updated Apr 15, 2018
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    CEICdata.com (2018). 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, 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

    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. J

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

    • ceicdata.com
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    CEICdata.com, 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
    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: 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.

  12. T

    Kenya Stock Market (NSE20) Data

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 15, 2026
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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 updated
    Feb 15, 2026
    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 - Mar 27, 2026
    Area covered
    Kenya
    Description

    Kenya's main stock market index, the Nairobi 20, fell to 3419 points on March 27, 2026, losing 0.82% from the previous session. Over the past month, the index has declined 9.05%, though it remains 53.51% 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 March of 2026.

  13. s

    Indian Stock Market Indices

    • stockmagnets.com
    Updated Dec 29, 2022
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    StockMagnets (2022). Indian Stock Market Indices [Dataset]. https://www.stockmagnets.com/indices
    Explore at:
    Dataset updated
    Dec 29, 2022
    Dataset authored and provided by
    StockMagnets
    License

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

    Time period covered
    2020 - Present
    Area covered
    India
    Variables measured
    Index Value, Change Percent, Sector Performance, Constituent Weights
    Description

    Real-time data for NSE indices including Nifty 50, Bank Nifty, sector indices, and their constituents with weights.

  14. Stock Market Data - Nifty 50 (2000 - 2022)

    • kaggle.com
    zip
    Updated Nov 5, 2022
    + more versions
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    Deba (2022). Stock Market Data - Nifty 50 (2000 - 2022) [Dataset]. https://www.kaggle.com/datasets/debashis74017/stock-market-data-nifty-50-2000-2022
    Explore at:
    zip(2447668 bytes)Available download formats
    Dataset updated
    Nov 5, 2022
    Authors
    Deba
    License

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

    Description

    Overview of NSE - Nifty 50 data

    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 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

    This dataset contains Nifty 50 historical daily prices. The historical data are retrieved from the NSE India website. Along with OHLC (Open, High, Low and Close price), many technical indicator data are calculated and published here. A list of all technical indicators is given below with a description.

    "Nifty 50 data" contains the below columns: 1. Date - Trading date 2. Open - Day's open price 3. High - Day's high price 4. Low - Day's low price 5. Close - Day's close price 6. sma5 7. sma10 8. sma15 9. sma20 10. ema5 11. ema10 12. ema15 13. ema20 15. upperband 15. middleband 16. lowerband 17. HT_TRENDLINE 18. KAMA10 19. KAMA20 20. KAMA30 21. SAR 22. TRIMA5 23. TRIMA10 24. TRIMA20 25. ADX5 26. ADX10 27. ADX20 28. APO 29. CCI5 30. CCI10 31. CCI15 32. macd510 33. macd520 34. macd1020 35. macd1520 36. macd1226 37. MOM10 38. MOM15 39. MOM20 40. ROC5 41. ROC10 42. ROC20 43. PPO 44. RSI14 45. RSI8 46. slowk 47. slowd 48. fastk 49. fastd 50. fastksr 51. fastdsr 52. ULTOSC 53. WILLR 54. ATR 55. Trange 56. TYPPRICE 57. HT_DCPERIOD 58. BETA

  15. 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.

  16. 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 - Mar 27, 2026
    Area covered
    Nigeria
    Description

    Nigeria's main stock market index, the NSE All Share, fell to 200913 points on March 27, 2026, losing 0.02% from the previous session. Over the past month, the index has climbed 2.76% and is up 90.13% 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 March of 2026.

  17. J

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

    • ceicdata.com
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    CEICdata.com, 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 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 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. J

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

    • ceicdata.com
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    CEICdata.com, 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 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: 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.

  19. u

    nifty-midcap-select-(midcpnifty)-share-price-today Index Data

    • univest.in
    Updated Oct 13, 2024
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    Univest (2024). nifty-midcap-select-(midcpnifty)-share-price-today Index Data [Dataset]. https://univest.in/indices/nifty-mid-select
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    Dataset updated
    Oct 13, 2024
    Dataset authored and provided by
    Univest
    Variables measured
    PE Ratio, 52-Week Low, 52-Week High, Current Price
    Description

    Live and historical price data for nifty-midcap-select-(midcpnifty)-share-price-today including current price, 52-week high/low, PE ratio, and performance metrics.

  20. 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 | Trading Economics [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 - Mar 28, 2026
    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 March 28 of 2026.

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Deba (2026). NSE - Nifty 50 Index Minute data (2015 to 2026) [Dataset]. https://www.kaggle.com/datasets/debashis74017/nifty-50-minute-data
Organization logo

NSE - Nifty 50 Index Minute data (2015 to 2026)

Nifty 50 index (OHLC) data for 1min and Daily data - Weekly Updated

Explore at:
zip(260439549 bytes)Available download formats
Dataset updated
Jan 23, 2026
Authors
Deba
License

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

Description

UPDATED EVERY WEEK Last Update - 26th July 2025

Disclaimer!!! Data uploaded here are collected from the internet and some google drive. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either money or any favor) for this dataset. RESEARCH PURPOSE ONLY

Context

  • The NIFTY 50 is a well-diversified 50 stock index and it represents 13 important sectors of the economy.
  • It is used for a variety of purposes such as benchmarking fund portfolios, index-based derivatives, and index funds.
  • NIFTY 50 is owned and managed by NSE Indices Limited.
  • The NIFTY 50 index has shaped up to be the largest single financial product in India.

This data contains all the indices of NSE. NIFTY 50, NIFTY BANK, NIFTY 100, NIFTY COMMODITIES, NIFTY CONSUMPTION, NIFTY FIN SERVICE, NIFTY IT, NIFTY INFRA, NIFTY ENERGY, NIFTY FMCG, NIFTY AUTO, NIFTY 200, NIFTY ALPHA 50, NIFTY 500, NIFTY CPSE, NIFTY GS COMPSITE, NIFTY HEALTHCARE, NIFTY CONSR DURBL, NIFTY LARGEMID250, NIFTY INDIA MFG, NIFTY IND DIGITAL, INDIA VIX

File Information and Column Descriptions.

Nifty 50 index data with 1 minute data. The dataset contains OHLC (Open, High, Low, and Close) prices from Jan 2015 to Aug 2024. - This dataset can be used for time series analysis, regression problems, and time series forecasting both for one step and multi-step ahead in the future. - Options data can be integrated with this minute data, to get more insight about this data. - Different backtesting strategies can be built on this data.

File Information

  • This dataset contains 6 files, each file contains nifty 50 data with different intervals.
  • Different intervals are - 1 min, 3 min, 5 min, 15 min, and 1 hour, Daily data from intervals of 2015 Jan to 2024 August.

Column Descriptors

  • Each file contains OHLC (Open, High, Low, and Close) prices and Data time information. Since these are Nifty 50 index data, so volume is not present.

Inspiration

Time series forecasting - Predict stock price

  • Predict future stock price one step ahead and multi-step ahead in time.
  • Use different time series forecasting techniques for forecasting the future stock price. ### Machine learning and Deep learning techniques
  • Possible ML and DL models include Neural networks, RNNs, LSTMs, Transformers, Attention networks, etc.
  • Different error functions can be considered like RMSE, MAE, RMSEP etc. ### Feature engineering
  • Different augmented features can be created and that can be used for forecasting.
  • Correlation analysis, Feature importance to justify the important features.
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