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Financial data service providers offer financial market data and related services, primarily real-time feeds, portfolio analytics, research, pricing and valuation data, to financial institutions, traders and investors. Companies aggregate data and content from stock exchange feeds, broker and dealer desks and regulatory filings to distribute financial news and business information to the investment community. Recent globalization of the world capital market has benefited the financial sector and increased trading speed. Businesses rely on real-time data more than ever to help them make informed decisions. When considering a data service provider, an easy-to-use interface that shows customized, relevant information is vital for clients. During times of economic uncertainty, this information becomes more crucial than ever. Clients want information as soon and as frequently as possible, causing providers to prioritize efficiency and delivery. This was evident during the pandemic, the high interest rate environment in the latter part of the period and as the Fed cuts rates in 2024. Increased automation has helped industry players process large volumes of financial data, reducing analysis and reporting times. In addition, automation has reduced operational costs and reduced human data errors. These trends have resulted in growing revenue, which has risen at a CAGR of 3.2% to $21.9 billion over the past five years, including a 3.5% uptick in 2024 alone. Corporate profit will continue to expand as inflationary concerns begin to wane slowly. This will lead many companies to take on new clients as financial data helps them gain insight into operating their business amid ongoing trends and economic shakeups. With technology constantly advancing, service providers will continue investing in research and development to improve their products and services and best serve their clients. As technological advances continue, smaller players will be able to better compete with larger industry players. While this may lead to new companies joining the industry, larger providers will resume consolidation activity to expand their customer base. Overall, revenue is expected to swell at a CAGR of 2.7% to $25.0 billion by the end of 2029.
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.
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.
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Public Service stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
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.
We offer three easy-to-understand equity data packages to fit your business needs. Visit intrinio.com/pricing to compare packages.
Bronze
The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD equity pricing data, standardized financial statement data, and supplementary fundamental datasets.
When you’re ready for launch, it’s a seamless transition to our Silver package for additional data sets, 15-minute delayed equity pricing data, expanded history, and more.
Bronze Benefits:
Silver
The Silver package is ideal for startups that are in development, testing, or in the beta launch phase. Hit the ground running with 15-minute delayed and historical intraday and EOD equity prices, plus our standardized and as-reported financial statement data with nine supplementary data sets, including insider transactions and institutional ownership.
When you’re ready to scale, easily move up to the Gold package for our full range of data sets and full history, real-time equity pricing data, premium support options, and much more.
Silver Benefits:
Gold
The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers our complete collection of equity pricing data feeds, from real-time to historical EOD, plus standardized financial statement data and nine supplementary feeds.
You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.
Gold Benefits:
Platinum
Don’t see a package that fits your needs? Our team can design premium custom packages for institutions.
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Service International stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
We offer three easy-to-understand packages to fit your business needs. Visit intrinio.com/pricing to compare packages.
Bronze
The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD options prices sourced from OPRA.
When you’re ready for launch, it’s a seamless transition to our Silver package for delayed options prices, Greeks and implied volatility, and unusual options activity, plus delayed equity prices.
Exchange Fees & Requirements:
This package requires no paperwork or exchange fees.
Bronze Benefits:
Silver
The Silver package is ideal for clients that want delayed options data for their platform, or for startups in the development and testing phase. You’ll get 15-minute delayed options data, Greeks, implied volatility, and unusual options activity, plus the latest EOD options prices and delayed equity prices.
You can easily move up to the Gold package for real-time options and equity prices, additional access methods, and premium support options.
Exchange Fees & Requirements:
If you subscribe to the Silver package and will not display the data outside of your firm, you’ll need to fill out a simplified exchange agreement and send it back to us. There are no exchange fees and we can provide immediate access to the data.
If you subscribe to the Silver package and will display the data outside of your firm, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is not required, so there are no variable per user fees.
Silver Benefits:
Gold
The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers real-time options prices, Greeks and implied volatility, and unusual options activity, as well as the latest EOD options prices and real-time equity prices.
You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.
Exchange Fees & Requirements:
If you subscribe to the Gold package, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is required, with an associated variable per user fee.
Gold Benefits:
Platinum
Don’t see a package that fits your needs? Our team can design a premium custom package for your business.
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With LSEG's Hong Kong Stock Exchange Issuer Information feed Service (IIS), gain real-time trading news and announcements from HKEX listed companies.
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Graph and download economic data for Producer Price Index by Industry: Investment Banking and Securities Intermediation: Brokerage Services, Equities and ETFs (PCU523120523120101) from Dec 1999 to Jun 2025 about brokers, ETF, stocks, equity, stock market, securities, services, PPI, industry, inflation, price index, indexes, price, and USA.
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Access LSEG's London Stock Exchange (LSE) Market Data, and find benchmarks, indices, and real-time and historic market information.
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Other-Stockholder-Equity Time Series for Capitalonline Data Service Co Ltd. Capitalonline Data Service Co., Ltd. provides cloud hosts and related services in China, the Americas, Europe, and the Asia Pacific. It offers cloud computing, artificial intelligence, and other products and services. The company also provides cloud and network integrated products, including elastic computing, global network, IDC services, data processing, and security, as well as storage, AWS cloud, database, safety, and big data and enterprise applications. In addition, it offers solutions, such as cloud connectivity, gaming, migration, and XR; e-commerce; mobile apps; online video; real estate; MaaS; digital twin; online education; CDS intelligent dispatch management platform; online games; and internet finance. The company provides its services to digital twins, artificial intelligence, industrial Internet, Internet of Vehicles, big data, education, finance, video, e-commerce, games, medical care, government, and other industries. The company was founded in 2005 and is headquartered in Beijing, China.
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Republic Services stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.
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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.
Get a glance at the market report of share of various segments Request Free Sample
The Offline segment was valued at
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View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.
The Center for Research in Security Prices (CRSP) stock databases provide time-series and event data on individual stocks, augmented with market time-series. Daily and monthly time-series variables include returns, closing, low bid and high ask prices, and trading volume. Event data includes distributions, shares outstanding, names, etc.
Dataset is an external database available here for Cornell affiliates: https://johnson.library.cornell.edu/database/wharton-research-data-services-wrds/
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This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
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The global Financial Data Services market is experiencing robust growth, driven by increasing demand for real-time data, sophisticated analytical tools, and the expanding adoption of digital technologies across financial institutions and investment firms. The market, valued at approximately $150 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching an estimated $275 billion by 2033. Key growth drivers include the rising complexity of financial markets, the need for improved risk management, and the growing popularity of algorithmic trading and quantitative analysis. Segmentation reveals a strong demand across various applications, with financial companies leading the way, followed by non-financial companies seeking data-driven decision-making capabilities. The increasing use of cloud-based solutions and the proliferation of big data analytics are further bolstering market expansion. However, factors such as stringent data regulations, cybersecurity concerns, and the potential for data breaches act as restraints on market growth. The market is highly competitive, with established players like Bloomberg and Refinitiv alongside emerging fintech companies vying for market share. Geographic analysis indicates strong growth in North America and Asia Pacific, driven by robust financial markets and technological advancements. The segment comprising Stock Market Data holds a significant market share, reflecting the high demand for real-time price feeds, order book data, and other relevant information. Bond Market Data is also witnessing substantial growth due to the increasing complexity and volume of fixed-income trading. Other segments, including Money Market Data, Macroeconomic Data, and Derivatives Market Data, are also experiencing growth, driven by specialized needs of institutional investors and sophisticated trading strategies. The competitive landscape showcases a mix of established players with vast data resources and advanced analytical tools, and agile technology companies providing innovative and niche solutions. Strategic partnerships, mergers and acquisitions, and continuous investment in R&D will likely shape the competitive landscape in the coming years. Focus on enhancing data security and compliance with regulatory frameworks will become increasingly crucial for market participants to maintain credibility and attract new customers.
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.
The dataset comprises historical stock price and trading volume data from S&P 500 component stocks over a period of about 10 years (from 01/02/2009 to 12/24/2018), used to evaluate the proposed Mid-LSTM stock prediction model.
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Financial data service providers offer financial market data and related services, primarily real-time feeds, portfolio analytics, research, pricing and valuation data, to financial institutions, traders and investors. Companies aggregate data and content from stock exchange feeds, broker and dealer desks and regulatory filings to distribute financial news and business information to the investment community. Recent globalization of the world capital market has benefited the financial sector and increased trading speed. Businesses rely on real-time data more than ever to help them make informed decisions. When considering a data service provider, an easy-to-use interface that shows customized, relevant information is vital for clients. During times of economic uncertainty, this information becomes more crucial than ever. Clients want information as soon and as frequently as possible, causing providers to prioritize efficiency and delivery. This was evident during the pandemic, the high interest rate environment in the latter part of the period and as the Fed cuts rates in 2024. Increased automation has helped industry players process large volumes of financial data, reducing analysis and reporting times. In addition, automation has reduced operational costs and reduced human data errors. These trends have resulted in growing revenue, which has risen at a CAGR of 3.2% to $21.9 billion over the past five years, including a 3.5% uptick in 2024 alone. Corporate profit will continue to expand as inflationary concerns begin to wane slowly. This will lead many companies to take on new clients as financial data helps them gain insight into operating their business amid ongoing trends and economic shakeups. With technology constantly advancing, service providers will continue investing in research and development to improve their products and services and best serve their clients. As technological advances continue, smaller players will be able to better compete with larger industry players. While this may lead to new companies joining the industry, larger providers will resume consolidation activity to expand their customer base. Overall, revenue is expected to swell at a CAGR of 2.7% to $25.0 billion by the end of 2029.