End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.

As of June 2025, private promoters had the highest share of ownership in companies listed on the National Stock Exchange in India. Foreign portfolio investors followed, with slightly less than 18 percent of ownership during the recorded period.

Gain access to LSEG's National Stock Exchange of India data, India's largest stock exchange with more than 180,000 terminals across 600 districts.

Comprehensive dataset containing 26 verified Stock Market locations in India with complete contact information, ratings, reviews, and location data.

Stock Analysis Software Market Outlook

The global stock analysis software market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.5% during the forecast period. The growth of this market is driven by the increasing adoption of advanced analytics tools by individual investors and financial institutions to make informed investment decisions. The rising demand for automated trading systems and the integration of artificial intelligence (AI) and machine learning (ML) in stock analysis software are significant growth factors contributing to the market expansion.

One of the primary growth factors for the stock analysis software market is the increasing complexity and volume of financial data. With the exponential growth of data from various sources such as social media, news articles, and financial statements, investors and financial analysts require sophisticated tools to process and interpret this information accurately. Stock analysis software equipped with AI and ML algorithms can analyze vast datasets in real-time, providing valuable insights and predictive analytics that enhance investment strategies. Moreover, the growing trend of algorithmic trading, which relies heavily on high-speed data processing and automated decision-making, is further propelling the market growth.

Another crucial growth driver is the rising awareness and adoption of stock analysis software among individual investors. As more individuals seek to actively manage their investment portfolios, there is a growing demand for user-friendly and cost-effective stock analysis tools that offer comprehensive market analysis, technical indicators, and personalized investment recommendations. The proliferation of mobile applications and the increasing accessibility of cloud-based stock analysis solutions have made it easier for retail investors to access advanced analytical tools, thereby contributing to market expansion.

The integration of innovative technologies such as natural language processing (NLP) and sentiment analysis into stock analysis software is also a significant growth factor. These technologies enable the software to interpret and analyze unstructured data from news articles, social media, and other textual sources to gauge market sentiment and predict stock price movements. This capability is particularly valuable in today's fast-paced financial markets, where sentiment and news events can have a substantial impact on stock prices. The continuous advancements in AI and NLP technologies are expected to drive further innovations and improvements in stock analysis software, thereby boosting market growth.

In the evolving landscape of financial technology, Investor Relations Tools have become indispensable for companies seeking to maintain transparent and effective communication with their stakeholders. These tools facilitate seamless interaction between companies and their investors, providing real-time updates, financial reports, and strategic insights. By leveraging these tools, companies can enhance their investor engagement strategies, build trust, and foster long-term relationships with their shareholders. The integration of advanced analytics and AI-driven insights into Investor Relations Tools further empowers companies to tailor their communication strategies, ensuring that they meet the diverse needs of their investor base. As the demand for transparency and accountability in financial markets continues to grow, the adoption of sophisticated Investor Relations Tools is expected to rise, playing a crucial role in the broader ecosystem of stock analysis software.

From a regional perspective, North America is anticipated to hold the largest market share due to the high concentration of financial institutions, brokerage firms, and individual investors in the region. The presence of key market players and the early adoption of advanced technologies also contribute to the dominant position of North America in the global stock analysis software market. Additionally, the Asia Pacific region is expected to witness significant growth during the forecast period, driven by the increasing number of retail investors, rapid economic development, and the growing financial markets in countries such as China and India.

Component Analysis

Graph and download economic data for Financial Market: Share Prices for India (SPASTT01INA661N) from 1957 to 2024 about India and stock market.

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Tags: Equity Market Data, Stock Market Data, Corporate Actions Data, Corporate Buyback Data, Company Financial Data, Insider Trading Data

As of February 2025, the Hindustan Unilever company led the FMCG (fast-moving consumer goods) companies with a market capitalization of close to six trillion Indian rupees in India. Nestlé India was second, with a market capitalization of more than two trillion Indian rupees.

After some rigorous SQL queries and coding on python. I made this dataset. In this dataset, all stocks of the Indian Stock Market are present a total of 2435 stocks. The data is of 1-year rows represent stock name and column represent date and I have filled the table with closing price. Enjoy and do some stock price predictions.

India: Number of companies listed on the stock exchange: The latest value from 2024 is 2673 companies, an increase from 2370 companies in 2023. In comparison, the world average is 666 companies, based on data from 68 countries. Historically, the average for India from 1983 to 2024 is 4105 companies. The minimum value, 1151 companies, was reached in 1983 while the maximum of 6988 companies was recorded in 2018.

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 50 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 20 percent in fiscal year 2023, indicating strong market performance.

Data Analytics in Financial Market Outlook

The global data analytics in financial market size was valued at approximately USD 10.5 billion in 2023 and is projected to reach around USD 34.8 billion by 2032, growing at a robust CAGR of 14.4% during the forecast period. This remarkable growth is driven by the increasing adoption of advanced analytics technologies, the need for real-time data-driven decision-making, and the rising incidence of financial fraud.

One of the primary growth factors for the data analytics in the financial market is the burgeoning volume of data generated from diverse sources such as transactions, social media, and online banking. Financial institutions are increasingly leveraging data analytics to process and analyze this vast amount of data to gain actionable insights. Additionally, technological advancements in artificial intelligence (AI) and machine learning (ML) are significantly enhancing the capabilities of data analytics tools, enabling more accurate predictions and efficient risk management.

Another driving factor is the heightened focus on regulatory compliance and security management. In the wake of stringent regulations imposed by financial authorities globally, organizations are compelled to adopt robust analytics solutions to ensure compliance and mitigate risks. Moreover, with the growing threat of cyber-attacks and financial fraud, there is a heightened demand for sophisticated analytics tools capable of detecting and preventing fraudulent activities in real-time.

Furthermore, the increasing emphasis on customer-centric strategies in the financial sector is fueling the adoption of data analytics. Financial institutions are utilizing analytics to understand customer behavior, preferences, and needs more accurately. This enables them to offer personalized services, improve customer satisfaction, and drive revenue growth. The integration of advanced analytics in customer management processes helps in enhancing customer engagement and loyalty, which is crucial in the competitive financial landscape.

Regionally, North America has been the dominant player in the data analytics in financial market, owing to the presence of major market players, technological advancements, and a high adoption rate of analytics solutions. However, the Asia Pacific region is anticipated to witness the highest growth during the forecast period, driven by the rapid digitalization of financial services, increasing investments in analytics technologies, and the growing focus on enhancing customer experience in emerging economies like China and India.

Component Analysis

In the data analytics in financial market, the components segment is divided into software and services. The software segment encompasses various analytics tools and platforms designed to process and analyze financial data. This segment holds a significant share in the market owing to the continuous advancements in software capabilities and the growing need for real-time analytics. Financial institutions are increasingly investing in sophisticated software solutions to enhance their data processing and analytical capabilities. The software segment is also being propelled by the integration of AI and ML technologies, which offer enhanced predictive analytics and automation features.

On the other hand, the services segment includes consulting, implementation, and maintenance services provided by vendors to help financial institutions effectively deploy and manage analytics solutions. With the rising complexity of financial data and analytics tools, the demand for professional services is on the rise. Organizations are seeking expert guidance to seamlessly integrate analytics solutions into their existing systems and optimize their use. The services segment is expected to grow significantly as more institutions recognize the value of professional support in maximizing the benefits of their analytics investments.

The software segment is further categorized into various types of analytics tools such as descriptive analytics, predictive analytics, and prescriptive analytics. Descriptive analytics tools are used to summarize historical data to identify patterns and trends. Predictive analytics tools leverage historical data to forecast future outcomes, which is crucial for risk management and fraud detection. Prescriptive analytics tools provide actionable recommendations based on predictive analysis, aiding in decision-making processes. The growing need for advanced predictive and prescriptive analytics is driving the demand for specialized software solut

Market capitalization of listed domestic companies (current US$) in India was reported at 5131397430000 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Market capitalization of listed companies - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

The Asia-Pacific capital market exchange ecosystem is experiencing robust growth, driven by increasing financialization in the region's rapidly developing economies. A compound annual growth rate (CAGR) exceeding 7% from 2019 to 2024 suggests a significant market expansion, projected to continue into the forecast period (2025-2033). Key drivers include rising domestic savings, increasing foreign direct investment (FDI), and the proliferation of retail and institutional investors. The expansion of digital financial services and fintech innovations further fuels this growth, facilitating easier access to markets and investment products. While market segments vary significantly across the region, the dominance of equity and debt markets is evident, reflecting the developmental stage of many economies. The presence of major stock exchanges like the Shanghai, Tokyo, and Hong Kong exchanges underscores the region's importance in the global financial landscape. However, regulatory hurdles, geopolitical uncertainties, and potential macroeconomic shifts pose some restraints to sustained growth. The study focuses on key markets within the Asia-Pacific region, including China, Japan, South Korea, India, Australia, and others, providing a detailed picture of market dynamics and future potential within each specific nation. Furthermore, the growing participation of institutional investors, alongside a rising retail investor base, points to a mature and deepening market. This expanding market presents significant opportunities for both domestic and international players. However, navigating the diverse regulatory environments and understanding the unique characteristics of each national market is crucial for success. Future growth will likely be shaped by government policies promoting financial inclusion, technological advancements enhancing market efficiency, and the overall macroeconomic stability of the region. The continued development and deepening of these capital markets will play a critical role in driving economic growth and development across the Asia-Pacific region for the foreseeable future, attracting further foreign investment and fostering greater financial integration within the area. Please note: I cannot create hyperlinks. I also cannot provide financial data (market size, growth rates, etc.) as this requires specialized market research. The following report description provides a framework; you would need to fill in the financial data from your research. Recent developments include: July 2022: The eligible companies listed on Beijing Stock Exchange were allowed to apply for transfer to the Star Market of the Shanghai Stock Exchange. A transfer system is a positive approach for bridge-building efforts between China's multiple layers of the capital market., February 2022: The China Securities Regulatory Commission (CSRC) approved the merger of Shenzhen Stock Exchange's main board with the SME board. The merger will optimize the trading structure of the Shenzhen Stock Exchange.. Notable trends are: Increasing Foreign Direct Investment in Various Developing Economies in Asia-Pacific.

Key information about India Sensitive 30 (Sensex)

• India Sensitive 30 (Sensex) closed at 73,198.1 points in Feb 2025, compared with 77,500.6 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 Feb 2025, with an average number of 4,285.0 points
• The data reached an all-time high of 84,299.8 points in Sep 2024 and a record low of 115.6 points in Nov 1979

• In the latest reports, SENSEX recorded a daily P/E ratio of 20.6 in Mar 2025

Reliance Petroleum, a part of Reliance Industries Limited is an Indian petroleum company specializing in oil and energy. It was the leading oil exploration and production company based on market capitalization with around 19.2 trillion Indian rupees as of May 2025. Oil and Natural Gas Corporation (ONGC) was in the second position with a market capitalization value of around 3.06 trillion Indian rupees.

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

The global financial data services market is projected to exhibit robust growth over the coming years, driven by the increasing adoption of data-driven decision-making, regulatory requirements, and the proliferation of digital technologies. The market is anticipated to reach a valuation of USD 108.39 million by 2033, expanding at a CAGR of 5.9% from 2025 to 2033. Key market drivers include the growing need for real-time and accurate financial data, the increasing use of artificial intelligence (AI) and machine learning (ML) for data analysis, and the rising demand for financial data by non-financial institutions. Key trends shaping the industry include the growing adoption of cloud-based data services, the emergence of real-time data analytics platforms, the increasing focus on data privacy and security, and the proliferation of mobile financial data services. The market is segmented into application (financial companies, non-financial companies, colleges & academies, non-profit institutions, individual investors), type (macroeconomic data, industrial data), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Key market players include Wind, Choice, CSMAR, Bloomberg, Hexun, Resset, iFinD, Investing.com, Sinofin, and others. Regional markets are expected to exhibit varying growth trajectories, with Asia Pacific projected to witness significant growth driven by the burgeoning financial sectors in China and India. North America and Europe are expected to maintain their dominance in terms of market share.

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Security Brokerage And Stock Exchange Services Market Size 2025-2029

The security brokerage and stock exchange services market size is forecast to increase by USD 917.8 billion at a CAGR of 9.9% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing demand for exchange-traded funds (ETFs) and the popularity of online trading platforms. These trends reflect the evolving preferences of investors, who seek convenience, cost-effectiveness, and diversification in their investment portfolios. Simultaneously, regulatory compliance with trading activities is on the rise, necessitating brokerage firms and stock exchanges to invest in advanced technologies and processes to ensure adherence. Data analytics and big data are also crucial tools for e-brokerage firms to gain insights and make informed decisions. These trends and challenges are shaping the future of the market. These factors present both opportunities and challenges for market participants. Companies that can effectively leverage technology to streamline operations, enhance customer experience, and comply with regulations will gain a competitive edge. Additionally, users of online trading platforms can easily monitor the performance of their assets thanks to real-time stock data. 
Conversely, those that fail to adapt may face operational inefficiencies and regulatory penalties, potentially impacting their market position and reputation. To capitalize on these opportunities and navigate challenges, market players must remain agile, innovative, and committed to delivering value to their customers.

What will be the Size of the Security Brokerage And Stock Exchange Services Market during the forecast period?

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The market encompasses a dynamic and intricate ecosystem of financial intermediaries facilitating the buying and selling of various securities, including equities, fixed income instruments, alternative investments, and digital assets. Market participants seek services such as commission rates and trading fees, account minimums, customer service, investment strategies, market insights, and personalized recommendations to optimize their portfolios. The market is witnessing significant growth due to the widespread use of smartphones and led technology, enabling investors to access real-time market data and trade securities such as ETFs and mutual funds from anywhere. Key trends include tax-efficient investing, estate planning, and the integration of advanced technologies like securities lending, prime brokerage, clearing and settlement, market making, order routing, and execution algorithms. Furthermore, the market is witnessing the emergence of innovative financial services, such as decentralized finance (DeFi), non-fungible tokens (NFTs), and digital assets, which are transforming traditional investment paradigms.
Risk appetite, trading psychology, and behavioral finance play crucial roles in market sentiment, as investors navigate economic indicators, geopolitical risks, global markets, and emerging markets. Additionally, investment banking services, including debt financing, equity financing, corporate finance, financial reporting, corporate governance, and Environmental, Social, and Governance (ESG) investing, continue to be essential components of the market.

How is this Security Brokerage And Stock Exchange Services Industry segmented?

The security brokerage and stock exchange services industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Channel

  Offline
  Online


Type

  Derivatives and commodities brokerage
  Equities brokerage
  Bonds brokerage
  Stock exchanges
  Others


Source

  Banks
  Investment firms
  Exclusive brokers


Geography

  North America

    US
    Canada


  APAC

    China
    India
    Japan
    Singapore


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa



  South America

By Channel Insights

The offline segment is estimated to witness significant growth during the forecast period. Offline security brokerage and stock exchange services enable investors to collaborate with seasoned professionals, receiving customized advice based on their investment strategies and objectives. In this mode, investors can trade various securities, such as stocks, bonds, mutual funds, and more. One significant advantage of offline trading is the negotiation of security prices, which is not always feasible in online trading. This price negotiation can result in improved returns for investors, particularly those who benefit from the expertise of skilled brokers.

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The Offline segment was valued at

The global financial database market is experiencing robust growth, driven by increasing demand for real-time data and advanced analytics across various sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $28 billion by 2033. This expansion is fueled by several key factors: the proliferation of algorithmic trading and quantitative analysis necessitating high-frequency data feeds; the growing adoption of cloud-based solutions enhancing accessibility and scalability; and the increasing regulatory scrutiny demanding robust and reliable financial data for compliance purposes. The market segmentation reveals a strong preference for real-time databases across both personal and commercial applications, reflecting the time-sensitive nature of financial decisions. Key players like Bloomberg, Refinitiv (formerly Thomson Reuters), and FactSet maintain significant market share due to their established brand reputation and comprehensive data offerings. However, the emergence of innovative fintech companies and the increasing availability of open-source data platforms are expected to intensify competition and foster market disruption. The geographical distribution of the market reveals North America as the dominant region, followed by Europe and Asia-Pacific. However, the Asia-Pacific region is poised for significant growth, driven by expanding financial markets in countries like China and India. While the market faces restraints such as data security concerns, increasing data costs, and complexities in data integration, the overall trend points toward sustained expansion. The continuous development of sophisticated analytical tools and the growing need for data-driven decision-making will continue to drive the adoption of financial databases across various user segments and geographies, shaping the competitive landscape in the coming years.