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 ...

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

• Your kernel can be featured here!
• Related Dataset: S&P 500 Stocks - daily updated
• More datasets

Acknowledgements

License

CC0: Public Domain

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Stonks by unknown memer.

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

The main stock market index in Nigeria (NSE-All Share) increased 2706 points or 2.63% since the beginning of 2025, 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 2025.

Description

The Nifty 50 index is a free-float market-capitalization-weighted index of the top 50 companies listed on the National Stock Exchange of India. This means that the index is calculated by taking the market capitalization of each company and weighting it according to the free float of shares. The free float is the number of shares that are available for trading on the open market.

The data is from the NSE website and is updated daily. This means that you can use the data to track the performance of the Nifty 50 index on a daily basis. You can also use the data to identify trends in the Indian stock market. For example, if you see that the Nifty 50 index is consistently rising, this could be a sign that the Indian stock market is doing well.

The data can also be used to make investment decisions. For example, if you see that a particular company is consistently performing well, you may want to consider investing in that company. However, it is important to remember that past performance is not necessarily indicative of future results.

Overall, the data is a valuable resource for anyone who is interested in the Indian stock market. It can be used to track the performance of the Nifty 50 index, identify trends in the market, and make investment decisions.

Date: 25 May, 2023

Data This data is related to share market and I personally collecting this data on NSE official website with the help of web scrapping. This data helps you to enhancing the trading skills also you can build the project with this real time data.

Nifty 50 The NIFTY 50 is a diversified 50 stock index accounting for 13 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 (formerly known as India Index Services & Products Limited) (NSE Indices). NSE Indices is India's specialised company focused upon the index as a core product.

The NIFTY 50 Index represents about 66.8% of the free float market capitalization of the stocks listed on NSE as on March 29, 2019. The total traded value of NIFTY 50 index constituents for the last six months ending March 2019 is approximately 53.4% of the traded value of all stocks on the NSE. Impact cost of the NIFTY 50 for a portfolio size of Rs.50 lakhs is 0.02% for the month March 2019.. NIFTY 50 is ideal for derivatives trading. From June 26, 2009, NIFTY 50 is computed based on free float methodology.

Nifty 100 NIFTY 100 is a diversified 100 stock index representing major sectors of the economy. NIFTY 100 represents top 100 companies based on full market capitalisation from NIFTY 500. This index intends to measure the performance of large market capitalisation companies. The NIFTY 100 tracks the behavior of combined portfolio of two indices viz. NIFTY 50 and NIFTY Next 50

NIFTY 100 is owned and managed by NSE Indices Limited (formerly known as India Index Services & Products Limited) (NSE Indices). NSE Indices is India’s specialized company focused upon the index as a core products.

• The NIFTY 100 Index represents about 76.8% of the free float market capitalization of the stocks listed on NSE as on March 29, 2019. • The total traded value for the last six months ending March 2019 of all index constituents is approximately 66.2% of the traded value of all stocks on the NSE. From June 26, 2009, NIFTY 100 is computed based on free float methodology.

Nifty Microcap 250

The Nifty Microcap 250 index aims to track the performance of microcap stocks listed or permitted to trade on NSE. The index includes the top 250 companies beyond the Nifty 500 index constituents, selected based on their average full market capitalization. A stocks weight is based on its free-float market capitalization.

Highlights:

The index has a base date of April 01, 2005, with a base value of 1000. The index includes the top 250 companies beyond the Nifty 500 index constituents, selected based on their average full market capitalization.

The weight of each stock in the index is based on its free float market capitalization.

A buffer based on full market capitalization is used to reduce portfolio churn.

The index is reviewed semi-annually.

Nifty500 It represents the top 500 companies based on full market capitalisation from the eligible universe. The NIFTY 500 Index represents about 96.1% of the free float market capitalization of the stocks listed on NSE as on March 29, 2019. The total traded value for the last six months ending March 2019, of all Index constituents is approximately 96.5% of the traded value of all stocks on NSE. The NIFTY 500 companies are disaggregated into industry indices viz. NIFTY Industry Indices.

** FMCG** MCGs (Fast Moving Consumer Goods) are those goods and products, which are non-durable, mass consumption products and available off the shelf. The Nifty FMCG Index comprises of maximum of 15 companies who manufacture such products which are listed on the National Stock Exchange (NSE).

Healthcare The Nifty Healthcare Index is designed to reflect the behaviour and performance of the Healthcare companies. The Nifty Healthcare Index comprises of maximum of 20 stocks that are listed on the National Stock Exchange.

Information Technology (IT) Information Technology (IT) industry has played a major role in the Indian economy. In order to have a good benchmark of the Indian IT sector, NSE Indices has developed the Nifty IT sector index. Nifty IT provides investors and market intermediaries with an appropriate benchmark that captures the performance of the IT segment of the market.

Companies in this index are those that have more than 50% of their turnover from IT related activities like IT Infrastructure , IT Education and Software Training , Telecommunication Services and Networking Infrastructure, Software Development, Hardware Manufacturer’s, Vending, Support and Maintenance.

REAL ESTATE Real estate sector in India is witnessing significant growth. Recent dynamics of the market reflected the opportunity of creating wealth across real estate companies, as proven by recent listings of real estate companies resulting into prominent growth in public funds and private equity.

The main growth thrust is coming due to favorable demographics, increasing purchasing power, existence of customer friendly banks & housing finance companies, professional...

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.

CN: Government Sector: Number of Researchers: Total data was reported at 339,576.000 Person in 2012. This records an increase from the previous number of 320,814.000 Person for 2011. CN: Government Sector: Number of Researchers: Total data is updated yearly, averaging 320,814.000 Person from Dec 2010 (Median) to 2012, with 3 observations. The data reached an all-time high of 339,576.000 Person in 2012 and a record low of 303,114.000 Person in 2010. CN: Government Sector: Number of Researchers: Total data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.MSTI: Number of Researchers and Personnel on Research and Development: Non OECD Member: Annual.

The national breakdown by source of funds does not fully match with the classification defined in the Frascati Manual. The R&D financed by the government, business enterprises, and by the rest of the world can be retrieved but part of the expenditure has no specific source of financing, i.e. self-raised funding (in particular for independent research institutions), the funds from the higher education sector and left-over government grants from previous years.

The government and higher education sectors cover all fields of NSE and SSH while the business enterprise sector only covers the fields of NSE. There are only few organisations in the private non-profit sector, hence no R&D survey has been carried out in this sector and the data are not available.

From 2009, researcher data are collected according to the Frascati Manual definition of researcher. Beforehand, this was only the case for independent research institutions, while for the other sectors data were collected according to the UNESCO concept of “scientist and engineer”.

In 2009, the survey coverage in the business and the government sectors has been expanded.

Before 2000, all of the personnel data and 95% of the expenditure data in the business enterprise sector are for large and medium-sized enterprises only. Since 2000 however, the survey covers almost all industries and all enterprises above a certain threshold. In 2000 and 2004, a census of all enterprises was held, while in the intermediate years data for small enterprises are estimated.

Due to the reform of the S&T system some government institutions have become enterprises, and their R&D data have been reflected in the Business Enterprise sector since 2000.