http://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html
The National Stock Exchange of India Ltd. (NSE) is an Indian stock exchange located at Mumbai, Maharashtra, India. National Stock Exchange (NSE) was established in 1992 as a demutualized electronic exchange. It was promoted by leading financial institutions on request of the Government of India. It is India’s largest exchange by turnover. In 1994, it launched electronic screen-based trading. Thereafter, it went on to launch index futures and internet trading in 2000, which were the first of its kind in the country.
With the help of NSE, you can trade in the following segments:
Equities
Indices
Mutual Funds
Exchange Traded Funds
Initial Public Offerings
Security Lending and Borrowing Scheme
https://cdn6.newsnation.in/images/2019/06/24/Sharemarket-164616041_6.jpg" alt="Stock image">
Companies on successful IPOs gets their Stocks traded over different Stock Exchnage platforms. NSE is one important platofrm in India. There are thousands of companies trading their stocks in NSE. But, I have chosen two popular and high rated IT service companies of India; TCS and INFOSYS. and the third one is the benchmark for Indian IT companies , i.e. NIFTY_IT_INDEX .
The dataset contains three csv files. Each resembling to INFOSYS, NIFTY_IT_INDEX, and TCS, respectively. One can easily identify that by the name of CSV files.
Timeline of Data recording : 1-1-2015 to 31-12-2015.
Source of Data : Official NSE website.
Method : We have used the NSEpy api to fetch the data from NSE site. I have also mentioned my approach in this Kernel - "**WebScraper to download data for NSE**". Please go though that to better understand the nature of this dataset.
INFOSYS - 248 x 15 || NIFTY_IT_INDEX - 248 x 7 || **TCS - 248 x 15
Colum Descriptors:
Date
: date on which data is recorded
Symbol
: NSE symbol of the stock
Series
: Series of that stock | EQ - Equity
OTHER SERIES' ARE:
EQ: It stands for Equity. In this series intraday trading is possible in addition to delivery.
BE: It 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.
BL: This series is for facilitating block deals. Block deal is a trade, with a minimum quantity of 5 lakh shares or minimum value of Rs. 5 crore, executed through a single transaction, on the special “Block Deal window”. The window is opened for only 35 minutes in the morning from 9:15 to 9:50AM.
BT: This series provides an exit route to small investors having shares in the physical form with a cap of maximum 500 shares.
GC: This series allows Government Securities and Treasury Bills to be traded under this category.
IL: This series allows only FIIs to trade among themselves. Permissible only in those securities where maximum permissible limit for FIIs is not breached.
Prev Close
: Last day close point
Open
: current day open point
High
: current day highest point
Low
: current day lowest point
Last
: the final quoted trading price for a particular stock, or stock-market index, during the most recent day of trading.
Close
: Closing point for the current day
VWAP
: volume-weighted average price is the ratio of the value traded to total volume traded over a particular time horizon
Volume
: the amount of a security that was traded during a given period of time. For every buyer, there is a seller, and each
transaction contributes to the count of total volume.
Turnover
: Total Turnover of the stock till that day
Trades
: Number of buy or Sell of the stock.
Deliverable
: Volumethe quantity of shares which actually move from one set of people (who had those shares in their demat account before today and are selling today) to another set of people (who have purchased those shares and will get those shares by T+2 days in their demat account).
%Deliverble
: percentage deliverables of that stock
I woul dlike to acknowledge all my sincere thanks to the brains behind NSEpy api, and in particular SWAPNIL JARIWALA , who is also maintaining an amazing open source github repo for this api.
I have also built a starter kernel for this dataset. You can find that right here .
I am so excited to see your magical approaches for the same dataset.
Leverage Databento's real-time stock API to get tick data with full order book depth (MBO). Offering seamless intraday market replay in a single API call.
The Real-time Candlestick OHLC API provides current candlestick data that covers all major stock exchanges including NYSE, NASDAQ, LSE, Euronext to NSE of India, TSE, and a few more. Users can choose from candlestick data with 1 min, 2 min, 5 min, 15 min, 30 min, 1 hour, 4 hour, 1 day, 1 week, 1 month and 1 year interval. By using the real-time candlestick OHLC data, they can visualize data on candlestick charts and build financial products.
As of 2023, among the application programming interface (API) attacks, security misconfigurations were the main type of cyberattacks in the Indian financial sector with a share of ** percent. Distributed denial of service (Dos/DDoS) made up ** percent of the API attacks in the sector in the same year.
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
The global financial data APIs market size was valued at approximately USD 3.5 billion in 2023 and is projected to reach USD 10.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.6% from 2024 to 2032. The market is experiencing robust growth due to several factors, including the increasing demand for real-time data and the need for seamless integration of financial services across various platforms. With the proliferation of fintech solutions and digital transformation initiatives across the financial sector, financial data APIs have become critical components that enable better customer experiences and efficient data management practices.
One of the primary growth factors for the financial data APIs market is the increasing adoption of digital technologies by financial institutions. As banks and financial institutions strive to offer more personalized and user-friendly services, APIs allow them to integrate disparate systems and provide cohesive solutions that enhance customer experience. Additionally, the rise of open banking frameworks in various regions has further necessitated the use of APIs, enabling third-party developers to create innovative applications that leverage financial data efficiently. This trend is particularly prominent in regions where regulatory bodies are pushing for more transparency and user-centric financial services.
Moreover, the rapid growth of the fintech sector has significantly fueled the demand for financial data APIs. Fintech companies rely on APIs to access banking infrastructures, allowing them to offer innovative services such as digital wallets, peer-to-peer lending, and automated investment platforms. The flexibility and scalability offered by APIs are also attractive for startups and smaller enterprises in the financial space as they enable these companies to launch new products and services without the need for extensive infrastructure investments. Consequently, the proliferation of fintech solutions has created a fertile ground for the expansion of the financial data APIs market.
The acceleration of cloud computing adoption in the financial sector is another critical factor contributing to market growth. Cloud-based APIs offer flexibility, scalability, and cost-efficiency, allowing businesses to quickly adapt to market changes and customer demands. As more financial institutions transition to cloud-based infrastructures, the demand for cloud-native APIs is anticipated to soar. This shift not only supports seamless data integration and management but also enhances security and compliance, as many cloud service providers offer advanced data protection and regulatory compliance features.
From a regional perspective, North America is currently the largest market for financial data APIs, owing to the presence of numerous financial institutions and technology companies in the region. The region is also characterized by a mature fintech ecosystem and supportive regulatory frameworks, both of which are conducive to the growth of the market. Meanwhile, Asia Pacific is expected to witness the highest growth rate during the forecast period, driven by rapid digitalization and increasing fintech adoption in countries like China and India. The Middle East & Africa and Latin America are also experiencing a growing interest in financial data APIs as financial institutions in these regions seek to modernize their operations and improve service delivery.
The financial data APIs market can be segmented based on components into software and services. The software segment encompasses API management platforms and tools that facilitate the creation, deployment, and management of financial data APIs. This segment is witnessing significant growth due to advancements in technology that allow for better integration, security, and scalability of API solutions. With the increasing need for real-time data processing and analytics in the financial sector, API software solutions are becoming indispensable tools for businesses seeking to enhance operational efficiency and innovation.
On the other hand, the services segment includes consulting, implementation, and support services that help organizations effectively deploy and manage their financial data APIs. The demand for these services is rising as businesses recognize the need for expert guidance in navigating the complexities of API integration and management. Companies are increasingly outsourcing these services to specialized providers who possess the technical expertise and industry knowledge required to o
https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer
Browse LSEG's market-leading global Pricing and Market Data for the financial markets, providing the broadest range of cross-asset market and pricing data.
https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer
Access LSEG's London Stock Exchange (LSE) Market Data, and find benchmarks, indices, and real-time and historic market information.
Obtain unmatched insights into the Indian market using our database of over 2.5 million company profiles. Our Xverum team is client-oriented and we focus on delivering structured and fresh B2B and brand data, enabling you to make informed decisions and drive your business forward.
Where this Indian B2B data can benefit you?
Competitor Analysis: Assess potential risks associated with specific real-time brand data, enabling you to mitigate financial and reputational risks in your business dealings.
Direct Marketing: Utilize our business data to target your marketing efforts with precision, reaching the right audience for your products and services.
B2B List Validation: Ensure the accuracy and legitimacy of your B2B contact lists, optimizing your lead generation and sales efforts.
With our comprehensive database of over 2.5 million Indian company profiles, you have the power to make informed decisions, drive your business strategy, and achieve success in the dynamic Indian market.
4 key features of our Indian data: - 40+ Data Attributes per Company Profile - Structured and Raw Data - Easily Integrated into Your Solutions - 100% Safe Source Promise
Contact our Xverum team and we'll be glad to find the best option due to your data requirements.
Please Note: Our dataset does not include PII and/or phone numbers.
https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
As of 2023, the global API Monetization Platform market size is valued at approximately USD 2.5 billion and is projected to reach around USD 12.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 19.8% during the forecast period. The primary growth factors for this market include the increasing adoption of APIs in various industries, the need for improved customer experience, and the rising importance of data-driven decision-making. Moreover, the evolution of digital ecosystems and the proliferation of cloud computing have also significantly contributed to the marketÂ’s expansion.
The demand for API monetization platforms is largely driven by the digital transformation initiatives undertaken by organizations worldwide. Companies are increasingly realizing the value of APIs in enhancing their business models, enabling them to generate additional revenue streams. The growing emphasis on open banking in the financial sector is a key growth driver, as it necessitates the use of APIs to facilitate secure and efficient data sharing among different financial institutions. Similarly, in the retail and e-commerce sectors, APIs are essential for seamless integration with various third-party services, enhancing customer experience and operational efficiency.
The rapid advancements in technology, such as artificial intelligence (AI) and the Internet of Things (IoT), are further accelerating the adoption of API monetization platforms. These technologies rely heavily on APIs to enable interoperability and data exchange between different systems and devices. Additionally, the rise of microservices architecture, which breaks down applications into smaller, manageable services, necessitates the use of APIs for communication between these services, thereby driving the demand for API monetization solutions.
The growing focus on enhancing operational efficiency and reducing time-to-market for new products and services is also contributing to the market's growth. Organizations are increasingly leveraging APIs to streamline their operations and improve collaboration between different departments and external partners. This not only helps in reducing operational costs but also enables faster innovation and delivery of new services to the market. Moreover, the increasing availability of API management tools and platforms that offer robust security features and analytics capabilities is making it easier for organizations to implement and monetize APIs effectively.
Regionally, North America holds the largest share of the API monetization platform market, primarily due to the presence of major technology companies and a highly developed IT infrastructure. The region's strong focus on innovation and early adoption of advanced technologies further supports market growth. Asia Pacific is expected to witness the highest growth rate during the forecast period, driven by the rapid digitalization initiatives and increasing investments in IT infrastructure in countries like China and India. Europe is also a significant market, with growing adoption of API monetization platforms in sectors such as BFSI and healthcare.
The software segment of the API monetization platform market is expected to hold a significant share during the forecast period. This segment includes various software solutions that enable organizations to effectively manage, secure, and monetize their APIs. These solutions typically offer features such as API gateway, API analytics, developer portal, and API lifecycle management. The increasing complexity of API ecosystems and the need for robust security measures are driving the demand for advanced API management software. Moreover, the growing adoption of microservices architecture and the shift towards cloud-native applications are further fueling the demand for API management software.
One of the key trends in the software segment is the integration of artificial intelligence (AI) and machine learning (ML) capabilities into API management solutions. These advanced technologies enable organizations to gain deeper insights into API usage patterns, detect anomalies, and optimize API performance. For instance, AI-powered analytics can help identify potential security threats and provide recommendations for mitigating them. Additionally, ML algorithms can be used to predict API traffic patterns and optimize resource allocation, ensuring optimal performance and cost efficiency.
The increasing focus on enhancing developer experience is another key factor dr
E-Brokerage Market Size 2025-2029
The e-brokerage market size is forecast to increase by USD 7.39 billion, at a CAGR of 7.9% between 2024 and 2029.
The market is experiencing significant growth, driven by the increasing proliferation of internet access worldwide. This expansion is fueled by the convenience and accessibility that e-brokerage platforms offer, enabling investors to manage their portfolios remotely and execute trades in real-time. Another key trend shaping the market is the rising demand for customization and personalization in e-brokerage solutions. As investors seek more tailored services to meet their unique needs, e-brokerage providers are responding by offering personalized investment advice, customizable interfaces, and a wide range of financial instruments. However, the market also faces notable challenges. With the increasing popularity of e-brokerage platforms, cybersecurity risks have become a significant concern. As more investors turn to digital channels for their financial needs, the threat of data breaches, hacking, and other cyber attacks grows. E-brokerage providers must invest heavily in robust cybersecurity measures to protect their platforms and their clients' sensitive information. Additionally, regulatory compliance remains a complex and ever-evolving challenge for e-brokerage firms, requiring significant resources and expertise to navigate the intricacies of various financial regulations. These challenges, while daunting, present opportunities for e-brokerage providers that can effectively address these issues and provide a secure, reliable, and personalized platform for their clients.
What will be the Size of the E-Brokerage Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, with dynamic market dynamics shaping its various sectors. Investment products and services are increasingly integrated, offering users a comprehensive platform for financial management. Mobile app development is a key focus, enabling seamless trading and real-time data access. Cryptocurrency trading is gaining popularity, requiring advanced technology and robust security protocols. Market data and educational resources are essential components, empowering users with the tools for fundamental analysis and financial modeling. User experience is paramount, with customer support, account management, and portfolio optimization ensuring client satisfaction. Order routing and management systems facilitate efficient trade execution, while fractional shares and commission structures cater to diverse investment strategies.
Data analytics and technical analysis provide valuable insights, driving informed decisions. High-frequency trading and algorithmic trading require advanced API integration and direct market access. Risk management and tax optimization are crucial, with real-time data and automated trading offering enhanced control. Client onboarding and account minimums are essential considerations, with various brokerage services catering to different customer segments. Wealth management and retirement planning require a holistic approach, incorporating estate planning and dividend reinvestment. Security breaches and data encryption are ongoing concerns, with robust security protocols essential for safeguarding sensitive information. Investment products and trading platforms continue to expand, offering users a wide range of options, including futures trading and forex trading.
Charting tools and social trading provide additional resources for informed decision-making. The market's continuous dynamism ensures a constantly evolving landscape, requiring adaptability and innovation.
How is this E-Brokerage Industry segmented?
The e-brokerage industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. Service TypeFull time brokerDiscounted brokerApplicationIndividual investorInstitutional investorOwnershipPrivately heldPublicly heldPlatformWeb-basedMobile appsDesktopAssest TypeEquitiesBondsDerivativesCryptocurrenciesGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyThe NetherlandsUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)
By Service Type Insights
The full time broker segment is estimated to witness significant growth during the forecast period.In the dynamic world of E-brokerage, full-time brokers play a pivotal role in facilitating the trade of various financial securities for clients. These licensed professionals, regulated by bodies like the SEC and FCA, work closely with individuals, institutions, and corporations to understand t
Fintech Market Size 2025-2029
The fintech market size is forecast to increase by USD 813.5 billion, at a CAGR of 32.5% between 2024 and 2029.
The market is experiencing significant growth and transformation, driven primarily by the influence of digitalization. Traditional financial institutions are increasingly adopting digital technologies to streamline operations, enhance customer experience, and expand their reach. This shift is leading to increased competition and disruption in the financial services industry. However, the market is not without challenges. The growing popularity of fintech solutions has raised concerns around privacy and security of personal information. As more financial transactions move online, ensuring the protection of sensitive data becomes paramount. Companies must invest in robust cybersecurity measures to mitigate risks and build trust with their customers. Additionally, navigating regulatory complexities and maintaining compliance with evolving regulations is a significant challenge for fintech players. These obstacles require strategic planning and innovative solutions to capitalize on the market's potential while addressing the concerns of stakeholders. Companies seeking to succeed in this dynamic market must focus on delivering secure, user-friendly, and innovative fintech solutions to meet the evolving needs of consumers and businesses.
What will be the Size of the Fintech Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, with new technologies and applications emerging across various sectors. Open banking APIs enable seamless data sharing between financial institutions and third-party providers, revolutionizing account aggregation and investment management platforms. Regtech compliance solutions streamline regulatory reporting and KYC/AML procedures, while artificial intelligence (AI) and machine learning algorithms power advanced credit scoring models and fraud detection systems. Transaction processing is optimized through automated trading systems and mobile wallets, facilitating financial inclusion and microfinance solutions. Big data analytics and quantitative analysis tools provide valuable insights for portfolio optimization and risk management. Cybersecurity measures, including network security, data encryption, and biometric authentication, safeguard sensitive financial information.
Regulatory frameworks and compliance audits ensure adherence to data privacy regulations and insurtech solutions. Peer-to-peer lending and digital lending platforms offer alternative financing options, while incident response planning and disaster recovery planning ensure business continuity. Vulnerability assessments and penetration testing fortify security protocols, and blockchain technology offers secure, decentralized transaction processing. Cloud computing solutions and wealth management tools streamline financial operations, while API security and risk management tools mitigate potential threats. Remittance services and algorithmic trading enable efficient cross-border transactions, and interoperability standards facilitate seamless data exchange between different platforms. Cryptocurrency integration and predictive analytics offer innovative solutions for the future of fintech.
How is this Fintech Industry segmented?
The fintech 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. DeploymentOn-premisesCloudEnd-userBankingInsuranceSecuritiesOthersApplicationFraud monitoringKYC verificationCompliance and regulatory supportGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW)
By Deployment Insights
The on-premises segment is estimated to witness significant growth during the forecast period.The market encompasses a range of innovative technologies and services, including high-frequency trading, account aggregation, regtech compliance, compliance audits, artificial intelligence, regulatory reporting, investment management platforms, behavioral biometrics, credit scoring models, fraud detection systems, transaction processing, mobile wallets, microfinance solutions, quantitative analysis, financial inclusion, kyc/aml procedures, payment processing fees, portfolio optimization, cybersecurity measures, compliance training, peer-to-peer lending, vulnerability assessment, data analytics platforms, biometric authentication, disaster recovery planning, regulatory frameworks, data encryption, insurtech solutions, security protocols, customer onboarding, open banking APIs, underwriting processes, automated tradin
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License information was derived automatically
Coal rose to 112 USD/T on July 11, 2025, up 0.90% from the previous day. Over the past month, Coal's price has risen 7.07%, but it is still 16.32% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coal - values, historical data, forecasts and news - updated on July of 2025.
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Learn how you can add new datasets to our index.
http://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html
The National Stock Exchange of India Ltd. (NSE) is an Indian stock exchange located at Mumbai, Maharashtra, India. National Stock Exchange (NSE) was established in 1992 as a demutualized electronic exchange. It was promoted by leading financial institutions on request of the Government of India. It is India’s largest exchange by turnover. In 1994, it launched electronic screen-based trading. Thereafter, it went on to launch index futures and internet trading in 2000, which were the first of its kind in the country.
With the help of NSE, you can trade in the following segments:
Equities
Indices
Mutual Funds
Exchange Traded Funds
Initial Public Offerings
Security Lending and Borrowing Scheme
https://cdn6.newsnation.in/images/2019/06/24/Sharemarket-164616041_6.jpg" alt="Stock image">
Companies on successful IPOs gets their Stocks traded over different Stock Exchnage platforms. NSE is one important platofrm in India. There are thousands of companies trading their stocks in NSE. But, I have chosen two popular and high rated IT service companies of India; TCS and INFOSYS. and the third one is the benchmark for Indian IT companies , i.e. NIFTY_IT_INDEX .
The dataset contains three csv files. Each resembling to INFOSYS, NIFTY_IT_INDEX, and TCS, respectively. One can easily identify that by the name of CSV files.
Timeline of Data recording : 1-1-2015 to 31-12-2015.
Source of Data : Official NSE website.
Method : We have used the NSEpy api to fetch the data from NSE site. I have also mentioned my approach in this Kernel - "**WebScraper to download data for NSE**". Please go though that to better understand the nature of this dataset.
INFOSYS - 248 x 15 || NIFTY_IT_INDEX - 248 x 7 || **TCS - 248 x 15
Colum Descriptors:
Date
: date on which data is recorded
Symbol
: NSE symbol of the stock
Series
: Series of that stock | EQ - Equity
OTHER SERIES' ARE:
EQ: It stands for Equity. In this series intraday trading is possible in addition to delivery.
BE: It 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.
BL: This series is for facilitating block deals. Block deal is a trade, with a minimum quantity of 5 lakh shares or minimum value of Rs. 5 crore, executed through a single transaction, on the special “Block Deal window”. The window is opened for only 35 minutes in the morning from 9:15 to 9:50AM.
BT: This series provides an exit route to small investors having shares in the physical form with a cap of maximum 500 shares.
GC: This series allows Government Securities and Treasury Bills to be traded under this category.
IL: This series allows only FIIs to trade among themselves. Permissible only in those securities where maximum permissible limit for FIIs is not breached.
Prev Close
: Last day close point
Open
: current day open point
High
: current day highest point
Low
: current day lowest point
Last
: the final quoted trading price for a particular stock, or stock-market index, during the most recent day of trading.
Close
: Closing point for the current day
VWAP
: volume-weighted average price is the ratio of the value traded to total volume traded over a particular time horizon
Volume
: the amount of a security that was traded during a given period of time. For every buyer, there is a seller, and each
transaction contributes to the count of total volume.
Turnover
: Total Turnover of the stock till that day
Trades
: Number of buy or Sell of the stock.
Deliverable
: Volumethe quantity of shares which actually move from one set of people (who had those shares in their demat account before today and are selling today) to another set of people (who have purchased those shares and will get those shares by T+2 days in their demat account).
%Deliverble
: percentage deliverables of that stock
I woul dlike to acknowledge all my sincere thanks to the brains behind NSEpy api, and in particular SWAPNIL JARIWALA , who is also maintaining an amazing open source github repo for this api.
I have also built a starter kernel for this dataset. You can find that right here .
I am so excited to see your magical approaches for the same dataset.