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.

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 ...

Description:

Explore the dynamic landscape of the Indian stock market with this extensive dataset featuring 4456 companies listed on both the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE). Gain insights into each company's financial performance, quarterly and yearly profit and loss statements, balance sheets, cash flow data, and essential financial ratios. Dive deep into the intricacies of shareholding patterns, tracking the movements of promoters, foreign and domestic institutional investors, and the public.

This dataset is a rich resource for financial analysts, investors, and data enthusiasts. Perform thorough company evaluations, sector-wise comparisons, and predictive modeling. With figures presented in crore rupees, leverage the dataset for in-depth exploratory data analysis, time series forecasting, and machine learning applications. Stay tuned for updates as we enrich this dataset for a deeper understanding of the Indian stock market landscape. Unlock the potential of data-driven decision-making with this comprehensive repository of financial information.

Folder Structure:

• 4492 NSE & BSE Companies
  • Main directory containing data for 4456 NSE and BSE registered companies.
  • Company_name folder
    • Individual folders for each company allowing for easy organization and retrieval.
    • Company_name.csv
      • General company information.
    • Quarterly_Profit_Loss.csv
      • Quarterly financial data.
    • Yearly_Profit_Loss.csv
      • Annual financial data.
    • Yearly_Balance_Sheet.csv
      • Annual balance sheet information.
    • Yearly_Cash_flow.csv
      • Annual cash flow data.
    • Ratios.csv.csv
      • Financial ratios over time.
    • Quarterly_Shareholding_Pattern.csv
      • Quarterly shareholding pattern.
    • Yearly_Shareholding_Pattern.csv
      • Annual shareholding pattern.

File Explanation:

Company_name.csv

- `Company_name`: Name of the company.
- `Sector`: Industry sector of the company.
- `BSE`: Bombay Stock Exchange code.
- `NSE`: National Stock Exchange code.
- `Market Cap`: Market capitalization of the company.
- `Current Price`: Current stock price.
- `High/Low`: Highest and lowest stock prices.
- `Stock P/E`: Price to earnings ratio.
- `Book Value`: Book value per share.
- `Dividend Yield`: Dividend yield percentage.
- `ROCE`: Return on capital employed percentage.
- `ROE`: Return on equity percentage.
- `Face Value`: Face value of the stock.
- `Price to Sales`: Price to sales ratio.
- `Sales growth (1, 3, 5, 7, 10 years)`: Sales growth percentage over different time periods.
- `Profit growth (1, 3, 5, 7, 10 years)`: Profit growth percentage over different time periods.
- `EPS`: Earnings per share.
- `EPS last year`: Earnings per share in the last year.
- `Debt (1, 3, 5, 7, 10 years)`: Debt of the company over different time periods.

Quarterly_Profit_Loss.csv

 - `Sales`: Revenue generated by the company.
 - `Expenses`: Total expenses incurred.
 - `Operating Profit`: Profit from core operations.
 - `OPM %`: Operating Profit Margin percentage.
 - `Other Income`: Additional income sources.
 - `Interest`: Interest paid.
 - `Depreciation`: Depreciation of assets.
 - `Profit before tax`: Profit before tax.
 - `Tax %`: Tax percentage.
 - `Net Profit`: Net profit after tax.
 - `EPS in Rs`: Earnings per share.

Yearly_Profit_Loss.csv

- Same as Quarterly_Profit_Loss.csv, but on a yearly basis.

Yearly_Balance_Sheet.csv

- `Equity Capital`: Capital raised through equity.
- `Reserves`: Company's retained earnings.
- `Borrowings`: Company's borrowings.
- `Other Liabilities`: Other financial obligations.
- `Total Liabilities`: Sum of all liabilities.
- `Fixed Assets`: Company's long-term assets.
- `CWIP`: Capital Work in Progress.
- `Investments`: Company's investments.
- `Other Assets`: Other non-current assets.
- `Total Assets`: Sum of all assets.

Yearly_Cash_flow.csv

- `Cash from Operating Activity`: Cash generated from core business operations.
- `Cash from Investing Activity`: Cash from investments.
- `Cash from Financing Activity`: Cash from financing (borrowing, stock issuance, etc.).
- `Net Cash Flow`: Overall net cash flow.

Ratios.csv.csv

- `Debtor Days`: Number of days it takes to collect receivables.
- `Inventory Days`: Number of days inventory is held.
- `Days Payable`: Number of days a company takes to pay its bills.
- `Cash Conversion Cycle`: Time taken to convert sales into cash.
- `Wor...

In 2024, the returns on Nifty 50 reported a rise of 8.75 percent compared to the year before. Furthermore, since 2016, Nifty 50 has consistently demonstrated a positive trend in annual returns. Nifty 50 is a benchmark Indian stock market index, representing the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange (NSE).

Comprehensive 27+ years of daily stock market data for Indian indices (SENSEX & NIFTY 50) and all their constituent companies. This dataset includes OHLCV data along with pre-calculated technical indicators, making it perfect for time series analysis, algorithmic trading strategies, and machine learning applications.

Total Records: 400,000+
Companies: 80 stocks (30 SENSEX + 50 NIFTY 50)
Features: 21 columns per record

Use Cases:

Machine Learning & Prediction:

• Stock price forecasting using LSTM, GRU, or Transformers
• Next-day close price prediction
• Multi-stock portfolio prediction
• Market regime detection (bull/bear markets)

Technical Analysis:

• Backtest trading strategies (RSI, MACD, Moving Average crossovers)
• Identify support/resistance levels
• Bollinger Band squeeze patterns
• Golden Cross / Death Cross detection

Statistical Analysis:

-Correlation analysis between stocks - Volatility clustering analysis - Market crash impact studies (2008 financial crisis, 2020 COVID) - Sectoral performance comparison

Portfolio Optimization:

• Modern Portfolio Theory implementation
• Risk-return optimization
• Diversification analysis
• Sharpe ratio calculations

Education:

• Financial markets course projects
• Time series analysis tutorials
• Data science portfolio projects
• Algorithmic trading education

Company List:

SENSEX 30 Companies:

Adani Enterprises, Asian Paints, Axis Bank, Bajaj Finance, Bajaj Finserv, Bharti Airtel, HDFC Bank, HCL Technologies, Hindustan Unilever, ICICI Bank, IndusInd Bank, Infosys, ITC, Kotak Mahindra Bank, Larsen & Toubro, Mahindra & Mahindra, Maruti Suzuki, Nestle India, NTPC, ONGC, Power Grid Corporation, Reliance Industries, State Bank of India, Sun Pharmaceutical, Tata Consultancy Services, Tata Motors, Tata Steel, Tech Mahindra, Titan Company, UltraTech Cement, Wipro

NIFTY 50 Companies:

All SENSEX 30 companies plus: Adani Ports, Apollo Hospitals, Bajaj Auto, Bharat Petroleum, Britannia Industries, Cipla, Coal India, Divi's Laboratories, Dr. Reddy's Laboratories, Eicher Motors, Grasim Industries, Hero MotoCorp, Hindalco Industries, Hindustan Zinc, JSW Steel, LTIMindtree, Shriram Finance, Tata Consumer Products, Trent

Ticker Conventions: - .BO suffix = Bombay Stock Exchange (BSE) - .NS suffix = National Stock Exchange (NSE)

Citation Policy:

If you use this dataset in your research, please cite:

Indian Stock Market Historical Data - SENSEX & NIFTY 50 (1997-2024)
Kaggle Dataset, November 2024
URL: https://www.kaggle.com/datasets/rockyt07/stock-market-sensex-nifty-all-time-dataset

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).

In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

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

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

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

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

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

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

Image Credit : https://gettyimages.com

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 India Mutual Fund Market is Segmented by Fund Type (Equity, Bond, Hybrid, Money Market, and Others), by Investor Type (Retail and Institutional), by Management Style (Active and Passive), and by Distribution Channel (Online Trading Platform, Banks, Securities Firm, and Others). The Market Forecasts are Provided in Terms of Value (USD).

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

SUMMARY & CONTEXTThis dataset aims to provide a comprehensive, rolling 20-year history of the constituent stocks and their corresponding weights in India's Nifty 50 index. The data begins on January 31, 2008, and is actively maintained with monthly updates. After hitting the 20-year mark, as new monthly data is added, the oldest month's data will be removed to maintain a consistent 20-year window. This dataset was developed as a foundational feature for a graph-based model analyzing the market structure of the Indian stock market. Unlike typical snapshots that only show the current 50 stocks, this dataset is a survivorship bias-free compilation that includes all stocks that have been part of the Nifty 50 index during this period. The data has been meticulously cleaned and adjusted for corporate actions, making it a robust feature set for financial analysis and quantitative modeling.DATA SOURCE & FREQUENCYPrimary Source: All raw data is sourced from the official historical data reports published by Nifty Indices (niftyindices.com), ensuring the highest level of accuracy.Data Frequency: The data is recorded on a monthly and event-driven basis. It includes end-of-month (EOM) weights but also captures intra-month data points for any date on which the Nifty 50 index was reshuffled or rebalanced. For periods between these data points, the weights can be considered static.METHODOLOGY & DATA INTEGRITYThe dataset was constructed based on official Nifty 50 rebalancing announcements. It relies on the observed assumption that on most reshuffles, the weights of stocks that aren’t being reshuffled stay almost the same before and after the change. Significant effort was made to handle exceptions and complex corporate actions:Corporate Actions: Adjustments were systematically made for major events like mergers (HDFC/HDFCBANK), demergers (Reliance/JIOFIN, ITC/ITCHOTELS), and dual listings (TATAMOTORS/TATAMTRDVR).Rebalancing Extrapolation: In cases where EOM weights did not align with beginning-of-month (BOM) realities post-reshuffle, a logarithmic-linear extrapolation method was used to estimate the weights of incoming/outgoing stocks.2013 Rebalancing Exception: For the second half rebalancing of 2013, due to significant discrepancies, all 50 stocks' weights were recalculated using the extrapolation method instead of carrying over previous values.Weight Normalization: On any given date, the sum of all 50 constituent weights is normalized to equal 100%. The weights are provided with a precision of up to 5 decimal places, and the sum for all observations is validated to a strict tolerance of 1e-6.TICKER & NAMING CONVENTIONSFor consistency across the time series, several historical stock tickers have been mapped to their modern or unified equivalents:INFOSYSTCH -> INFYHEROHONDA -> HEROMOTOCOBAJAJ-AUTO -> BAJAUTOSSTL -> VEDLREL -> RELINFRAZOMATO -> ETERNALCONTENTS & FILE STRUCTUREThis dataset is distributed as a collection of files. The primary data is contained in weights.csv, with several supplementary files provided for context, validation, and analysis.weights.csv: The main data file.Layout: This file is in a standard CSV format. The first row contains the headers, with DATE in the first column and stock tickers in the subsequent columns. Each row corresponds to a specific date.Values: The cells contain the stock's weight (as a percentage) in the Nifty 50 index on a given date. A value of 0 indicates the stock was not an index constituent at that time.sectors.csv: A helper file that maps each stock ticker to its corresponding industry sector.summary.csv: A simple summary file containing the first and last observed dates for each stock, along with a count of its non-zero weight observations.validate.py: A Python script to check weights.csv for data integrity issues (e.g., ensuring daily weights sum to 100).validation_report.txt: The output report generated by validate.py, showing the results of the latest data validation checks.analysis.ipynb: A Jupyter Notebook providing sample analyses that can be performed using this dataset, such as visualizing sector rotation and calculating HHI score over time.README.md: This file, containing the complete documentation for the dataset.CHANGELOG.md: A file for tracking all updates and changes made to the dataset over time.LICENSE.txt: The full legal text of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license, which is applicable to this dataset.POTENTIAL USE CASESAnalyzing historical sector rotation and weight concentration in the Indian market.Building features for quantitative models that aim to predict market movements.Backtesting investment strategies benchmarked against the Nifty 50.ACKNOWLEDGEMENTS & CITATIONThis dataset was created by Sukrit Bera. A permanent, versioned archive of this dataset is available on Figshare. If you use this dataset in your research, please use the following official citation, which includes the permanent DOI:Bera, S. (2025). Historical Nifty 50 Constituent Weights (Rolling 20-Year Window) [Data set]. figshare. https://doi.org/10.6084/m9.figshare.30217915LICENSINGThis dataset is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. The license selected in the metadata dropdown (CC BY 4.0) is the closest available option on this platform. The full terms of the applicable CC BY-NC-SA 4.0 license is available HERE, as well as in the uploaded LICENSE.txt file in the dataset. The CC BY-NC-SA 4.0 license DOES NOT permit commercial use. This dataset is FREE for academic and non-commercial research with attribution. If you wish to use this dataset for commercial purposes, please contact Sukrit Bera at sukritb2005@gmail.com to negotiate a separate, commercial license.DATA DICTIONARYColumn Name: DATEData Type: DateDescription: The date of the weight recording. This is the first column.Column Name: [Stock Ticker]Data Type: floatDescription: The percentage weight of the stock (e.g., 'RELIANCE', 'TCS') in the Nifty 50 index. A value of 0 indicates it was not an index constituent on that date.

The All Indian Stocks listed in Nifty 500 dataset provides a comprehensive list of all Indian stocks listed in the Nifty 500 index. This dataset includes information on the company name, industry, symbol, series, and ISIN code for each stock. With this dataset, researchers, investors, and analysts can analyze and gain insights into the Indian stock market.

File Information:

Filename: All_Indian_Stocks_listed_in_nifty500.csv
File format: CSV (Comma Separated Values)
Number of records: 751
Columns: Company Name, Industry, Symbol, Series, ISIN Code
Size: 16 KB

Column description:

Company Name: The name of the company listed in the Nifty 500 index.
Industry: The industry sector to which the company belongs.
Symbol: The unique stock symbol of the company on the stock exchange.
Series: The trading series of the company's stock on the stock exchange.
ISIN Code: The International Securities Identification Number (ISIN) code, which is a unique identifier for the company's securities.

Use case: Stock analysis: The dataset can be used for analyzing and comparing the performance of various stocks listed in the Nifty 500 index. By looking at the company name, industry, and stock symbol, investors can identify trends and make informed decisions about where to invest their money.

Portfolio management: The dataset can be used to create and manage a diversified stock portfolio. Investors can use the industry information to ensure that they are investing in stocks from different sectors, which can help mitigate risk.

Stock market research: Researchers and analysts can use the dataset to conduct research on the Indian stock market. They can use the information to analyze trends in specific industries or to track the performance of individual companies over time.

Machine learning: The dataset can be used for developing machine learning algorithms that predict stock prices or identify potential investment opportunities. The information in the dataset can be used as input features for these models, allowing them to learn from historical data and make predictions about future stock performance.

Data visualization: The dataset can be visualized using various data visualization tools, such as charts and graphs, to help investors and researchers identify patterns and trends in the data. This can help to identify potential investment opportunities or to better understand the performance of individual stocks or sectors.

In fiscal year 2018, the share of online trading in the overall trading volume in India accounted for nearly ** percent. This was an increase of nearly ** percent as compared to the previous fiscal year. Internet trading has become mainstream in the country today with many new customers exclusively using online financial services companies.

Complete list of all 50 companies in the NSE Nifty 50 index with symbols and sectors

The India Securities Brokerage Market Report is Segmented by Type of Security (Bonds, Stocks, Treasury Notes, Derivatives, Others), Type of Brokerage Service (Stock, Insurance, Mortgage, Real Estate, Forex, Leasing, Others), Type of Service (Full-Service, and Other), Client Type (Retail, and Other), and Geography (North India, and Other). The Market Forecasts are Provided in Terms of Value (USD).

As of December 6, 2023, the Delhi Land & Finance Limited (DLF) lead the list of Indian real estate companies for residential and commercial complexes with a market capitalization of over ***** billion Indian rupees. The National Stock Exchange (NSE) in New Delhi includes ** real estate developers under this category. The real estate industry is one of the fastest growing sectors in India and was estimated to reach a total value of ************ U.S. dollars by 2030.
Who is driving the real estate industry? With the central government tightening regulations in the residential segment in recent years and a mismatch of demand and supply for housing, the commercial, office, and retail segments have been the key drivers within the real estate industry. Nevertheless, all segments felt the impacts of the coronavirus crisis in 2020 with less transactions, less realizations, rising vacancies and falling prizes. DLF Limited The Delhi Land & Finance Limited (DLF) was founded in 1946 in New Delhi. At first, it developed residential colonies in renown neighborhoods in southern Delhi, such as Greater Kailash and Hauz Khas. When the government took control over real estates in Delhi in the mid-1950s, DLF concentrated on other locations and the commercial segment. From the 1970s onwards, it was one of the driving factors in developing the small town of Gurugram (formerly known as Gurgaon) into a vibrant city. In financial year 2020, DLF reported a consolidated revenue of nearly ** billion Indian rupees. Besides its residential projects and high-end shopping malls, DLF gained popularity as the title sponsor of the Indian Premier League between 2008 and 2012.

The India Manufacturing Sector Market offers a diverse range of products, including automobiles, machinery, electronics, and pharmaceuticals. The automotive industry is one of the largest segments, driven by factors such as increasing urbanization, rising disposable income, and government initiatives to promote domestic manufacturing. The machinery segment is also experiencing growth, supported by the expanding manufacturing base and the need for automation. The electronics industry is witnessing significant demand due to the growing adoption of consumer electronics and the proliferation of the digital economy. The pharmaceutical industry is driven by factors such as increasing healthcare expenditure and the rise of chronic diseases. Recent developments include: January 2023: Sundram Fasteners, an auto component manufacturer, secured its largest-ever EV contract in its six-decade history. The Chennai-based company clinched a USD 250 million deal from a prominent global automobile manufacturer to supply sub-assemblies for its electric vehicle (EV) platform. Sundram Fasteners anticipates reaching an annual sales peak of USD 52 million by 2026, with a supply of 1.5 million drive unit sub-assemblies per annum., January 2023: Tata Motors, a multinational automotive manufacturing company based in India, disclosed plans to potentially establish plants in India and Europe for manufacturing battery cells dedicated to electric vehicles (EVs). The Chief Financial Officer of Tata Motors' auto unit revealed this information in an interview with Reuters. Tata Motors, which has sold a total of 50,000 electric cars thus far, dominates India's EV market and aims to introduce 10 electric models by March 2026.. Key drivers for this market are: Increasing demand for products in sectors like automotive, consumer electronics, and pharmaceuticals, both domestically and internationally, is fueling the expansion of manufacturing activities in India. Potential restraints include: Inadequate infrastructure, including poor transportation networks, inconsistent power supply, and inefficient logistics, which raise operational costs and hinder the smooth functioning of industries. Notable trends are: Growing government spending and the large and growing population, coupled with a rising middle class, are driving the market growth.

Total-Other-Finance-Cost Time Series for Wipro Limited. Wipro Limited operates as an information technology (IT), consulting, and business process services company worldwide. It operates through IT Services and IT Products segments. The IT Services segment offers AI-powered IT and IT-enabled services, including digital strategy advisory, customer-centric design, technology and IT consulting, custom application design, development, re-engineering and maintenance, systems integration, package implementation, cloud and infrastructure, business process, cloud, mobility and analytics, research and development, and hardware and software design services to enterprises. It serves customers in various industry sectors, such as communications, media and information services, software and gaming, new age technology, consumer goods, healthcare, medical devices and life sciences, and technology products and services, as well as banking and financial services, energy, manufacturing and resources, capital markets and insurance, and hi-tech. The IT Products segment provides a range of third-party IT products comprising enterprise platforms, networking solutions, software and data storage products, contact center infrastructure, enterprise security, IT optimization technologies, video solutions, and end-user computing solutions. It serves enterprises in various industries primarily in the India market, which comprise the government, defense, IT and IT-enabled services, telecommunications, manufacturing, utilities, education, and financial services sectors. The company was incorporated in 1945 and is based in Bengaluru, India.

Total-Cashflows-From-Investing-Activities Time Series for Wipro Limited. Wipro Limited operates as an information technology (IT), consulting, and business process services company worldwide. It operates through IT Services and IT Products segments. The IT Services segment offers AI-powered IT and IT-enabled services, including digital strategy advisory, customer-centric design, technology and IT consulting, custom application design, development, re-engineering and maintenance, systems integration, package implementation, cloud and infrastructure, business process, cloud, mobility and analytics, research and development, and hardware and software design services to enterprises. It serves customers in various industry sectors, such as communications, media and information services, software and gaming, new age technology, consumer goods, healthcare, medical devices and life sciences, and technology products and services, as well as banking and financial services, energy, manufacturing and resources, capital markets and insurance, and hi-tech. The IT Products segment provides a range of third-party IT products comprising enterprise platforms, networking solutions, software and data storage products, contact center infrastructure, enterprise security, IT optimization technologies, video solutions, and end-user computing solutions. It serves enterprises in various industries primarily in the India market, which comprise the government, defense, IT and IT-enabled services, telecommunications, manufacturing, utilities, education, and financial services sectors. The company was incorporated in 1945 and is based in Bengaluru, India.