6 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 1, 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 1 of 2025.

  2. 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=001-574&v=presentation
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    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 ---

  3. Stock Market Dataset (NIFTY-500)

    • kaggle.com
    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:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    Kaggle
    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 ...

  4. NSE India stocks (Indices)

    • kaggle.com
    Updated May 11, 2017
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    Ramanathan (2017). NSE India stocks (Indices) [Dataset]. https://www.kaggle.com/ramamet4/nse-stocks-database/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 11, 2017
    Dataset provided by
    Kaggle
    Authors
    Ramanathan
    License

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

    Description

    Context

    nifty50.csv The NIFTY 50 index is National Stock Exchange of India's benchmark stock market index for Indian equity market. It is a well diversified 50 stock index accounting for 22 sectors of the economy. It is used for a variety of purposes such as bench-marking fund portfolios, index based derivatives and index funds.

    banknifty.csv Bank Nifty represents the 12 most liquid and large capitalized stocks from the banking sector which trade on the National Stock Exchange (NSE). It provides investors and market intermediaries a benchmark that captures the capital market performance of Indian banking sector.

    Content

    A data frame with 8 variables: index, date, time, open, high, low, close and id. For each year from 2013 to 2016, the number of trading data of each minute of given each date. The currency of the price is Indian Rupee (INR).

    • index : market id
    • date: numerical value (Ex. 20121203- to be converted to 2012/12/03)
    • time: factor (Ex. 09:16)
    • open: numeric (opening price)
    • high: numeric (high price)
    • low: numeric (low price)
    • close: numeric (closing price)

    Inspiration

    Initial raw data sets are very complex and mixed datatypes. These are processed properly using R libraries like dplyr, stringr and other data munging packages. The desired outputs are then converted into a CSV format to use for further analysis.

  5. NSE FUTURE AND OPTIONS DATASET 2024

    • kaggle.com
    Updated Nov 11, 2024
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    Diksha Singh (2024). NSE FUTURE AND OPTIONS DATASET 2024 [Dataset]. https://www.kaggle.com/datasets/kaalicharan9080/nse-future-and-options-data/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 11, 2024
    Dataset provided by
    Kaggle
    Authors
    Diksha Singh
    License

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

    Description

    The NSE Futures and Options (F&O) dataset is a collection of data related to derivatives traded on the National Stock Exchange of India. Derivatives, such as futures and options, are financial instruments whose value is derived from an underlying asset, such as stocks, indices, commodities, or currencies. The F&O segment allows traders and investors to speculate on or hedge against future price movements of these assets.

    Key Components of the NSE Futures and Options Dataset: 1. Futures Data: Futures Contracts: Agreements to buy or sell an underlying asset at a predetermined price at a future date. Underlying Asset: The asset on which the contract is based (e.g., individual stocks, stock indices like NIFTY, commodities). Contract Specifications: Expiry Date: The date on which the contract will expire. Contract Price: The agreed-upon price for the asset. Lot Size: The quantity of the underlying asset that each contract represents. Open Interest: The total number of outstanding (unsettled) contracts. Volume: The number of contracts traded during a specific period. Settlement Price: The final price of the contract upon expiry.

    1. Options Data: Options Contracts: These give the buyer the right (but not the obligation) to buy (Call Option) or sell (Put Option) an underlying asset at a predetermined price before or at a certain expiration date. Option Types: Call Option: Gives the holder the right to buy the asset. Put Option: Gives the holder the right to sell the asset. Strike Price: The price at which the holder of the option can buy/sell the underlying asset. Expiry Date: The date by which the option must be exercised. Premium: The price paid by the option buyer to acquire the option contract. Implied Volatility: A measure of the market’s expectation of the underlying asset's volatility. Greeks: Quantities representing the sensitivity of the option’s price to various factors: Delta: Sensitivity to price changes in the underlying asset. Theta: Sensitivity to time decay (as the option approaches expiry). Vega: Sensitivity to changes in the asset's volatility. Gamma: The rate of change in Delta. Open Interest: Total number of outstanding options contracts. Volume: The number of option contracts traded during a specific period.

    2. Option Chain: An option chain is a table showing all available option contracts for a particular stock or index. It includes strike prices, premiums (call and put), open interest, and volume for different expiry dates.

    3. Index Derivatives: Futures and options on stock indices like NIFTY 50, Bank NIFTY, etc. These contracts track the performance of the index as the underlying asset.

    Key Metrics in F&O Data: Open Interest (OI): The total number of open contracts (both bought and sold) that have not been settled. This helps gauge market participation and liquidity. Price (Premium): In options, the premium is the cost of buying the contract. In futures, the price reflects the contract value. Strike Price: Particularly important for options, it is the price at which the option can be exercised. Expiry Date: Futures and options contracts have specific expiration dates, typically the last Thursday of the month for monthly contracts. Trading Volume: The number of contracts traded within a given period, which can indicate the level of activity in a particular contract.

    Use of NSE F&O Data: Speculation: Traders use F&O to speculate on future price movements of stocks, indices, or commodities. Hedging: Investors use F&O to hedge against adverse price movements in their portfolio (for example, buying put options to protect against a market downturn). Arbitrage: Taking advantage of price differences between the underlying asset and its derivative (futures or options).

    Data Types: Historical Data: Contains past data on prices, volumes, open interest, etc. for futures and options contracts. Traders use this to analyze trends, patterns, and volatility. Real-time Data: Provides live updates on the price, open interest, and trading volume of contracts. This data is crucial for day traders and high-frequency traders.

    How Traders and Analysts Use This Data: Price Action Analysis: Studying how the price of the futures or options contracts changes over time. Open Interest Analysis: A rising OI indicates new money coming into the market, while falling OI can indicate exiting positions. Option Greeks: Traders analyze the Greeks to manage risk and position sizing in options trading. Volatility Analysis: By analyzing implied and historical volatility, traders can gauge market sentiment and potential price swings.

  6. T

    Canada Stock Market Index (TSX) Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). Canada Stock Market Index (TSX) Data [Dataset]. https://tradingeconomics.com/canada/stock-market
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    May 15, 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
    Jun 29, 1979 - Jun 30, 2025
    Area covered
    Canada
    Description

    Canada's main stock market index, the TSX, rose to 26746 points on June 30, 2025, gaining 0.20% from the previous session. Over the past month, the index has climbed 1.35% and is up 21.83% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on June of 2025.

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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

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 1, 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 1 of 2025.

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