Updated daily, this data feed offers end of day prices for major US publicly traded stocks with history more than 20 years. Prices are provided both adjusted and unadjusted.

Key Features:

Covers all stocks with primary listing on NASDAQ, AMEX, NYSE and ARCA. Includes unadjusted and adjusted open, high, low, close, volume. Includes dividend history and split history. Updated at or before 5:00pm ET on all trading days. Exchange corrections are applied by 9:30pm ET.

View Refinitiv's New York Stock Exchange (NYSE) Market Data and benefit from full-depth market-by-price data, available as real-time and historical records.

Access LSEG's London Stock Exchange (LSE) Market Data, and find benchmarks, indices, and real-time and historic market information.

Cryptocurrencies

Finage offers you more than 1700+ cryptocurrency data in real time.

With Finage, you can react to the cryptocurrency data in Real-Time via WebSocket or unlimited API calls. Also, we offer you a 7-year historical data API.

You can view the full Cryptocurrency market coverage with the link given below. https://finage.s3.eu-west-2.amazonaws.com/Finage_Crypto_Coverage.pdf

TagX is your trusted partner for stock market and financial data solutions. We specialize in delivering real-time and end-of-day data feeds that power software, trading algorithms, and risk management systems globally. Whether you're a financial institution, hedge fund, or individual investor, our reliable datasets provide essential insights into market trends, historical pricing, and key financial metrics.

TagX is committed to precision and reliability in stock market data. Our comprehensive datasets include critical information such as date, open/close/high/low prices, trading volume, EPS, P/E ratio, dividend yield, and more. Tailor your dataset to match your specific requirements, choosing from a wide range of parameters and coverage options across primary listings on NASDAQ, AMEX, NYSE, and ARCA exchanges.

Key Features of TagX Stock Market Data:

Custom Dataset Requests: Customize your data feed to focus on specific metrics and parameters crucial to your trading strategy.

Extensive Coverage: Access data from reputable exchanges and market participants, ensuring accuracy and completeness in your analyses.

Flexible Pricing Models: Choose pricing structures based on your selected parameters, offering cost-effective solutions tailored to your needs.

Why Choose TagX? Partner with TagX for precise, dependable, and customizable stock market data solutions. Whether you require real-time updates or end-of-day valuations, our datasets are designed to support informed decision-making and enhance your competitive edge in the financial markets. Trust TagX to deliver the data integrity and accuracy essential for maximizing your trading potential.

The best choice for those looking for license-free US market data for commercial use is US Equities Basic, which includes data display, redistribution, professional trading, and more.

US Equities Basic is based upon a derived IEX feed. The volume coverage is 3-5% of the total trading volume in North America, which helps entities mitigate license expenses and start with real-time data.

US Equities Basic provides raw quotes, trades, aggregated time series (OHLCV), and snapshots. Both REST API and WebSocket API are available.

End-of-day price information disseminated after 12:00 AM EST does not require licensing in the United States by law. This applies to all exchanges, even those not included in the US Equities Basic. Finazon combines all price information after every trading day, meaning that while markets are open, real-time prices are available from a subset of exchanges, and when markets close, data is synced and contains 100% of US volume. All historical prices are adjusted for corporate actions and splits.

Tip: Individuals with non-professional usage are not required to get exchange licenses for real-time data and, hence, are better off with the US Equities Max dataset.

With LSEG's Hong Kong Stock Exchange Issuer Information feed Service (IIS), gain real-time trading news and announcements from HKEX listed companies.

1044 Global import shipment records of Feed Stock with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

View LSEG's ICE Data Pricing and Reference Data, and find real-time market data, time-sensitive pricing, and reference data for securities trading.

Predict the outcomes of individual stocks and different sectors within Japan's stock market. Utilize data connected to the performance of Japanese corporations as a foundational index to anticipate each company's business outcomes and share values.

Sports Data Low-Latency Feed Market Outlook

According to our latest research for 2024, the global sports data low-latency feed market size stands at USD 1.47 billion. The market is experiencing robust growth, propelled by the increasing demand for real-time data delivery across various sports-related applications. The market is set to expand at a CAGR of 18.2% during the forecast period, reaching an estimated USD 6.45 billion by 2033. This growth is primarily driven by the rapid adoption of digital transformation in the sports industry, the surge in sports betting activities, and the proliferation of live streaming and fantasy sports platforms. As per our latest research, the sports data low-latency feed market is positioned for significant evolution, with technological advancements and increasing integration of artificial intelligence playing pivotal roles in shaping the industry landscape.

A major growth factor for the sports data low-latency feed market is the escalating demand for instant access to accurate sports information. With the rise of live sports broadcasting and the surge in in-play betting, stakeholders across the sports ecosystem require ultra-fast data feeds to ensure timely and precise delivery of critical match events, player statistics, and video content. This demand is further amplified by the expectations of modern sports fans, who seek real-time engagement and interactive experiences through various digital platforms. The integration of advanced data analytics and machine learning algorithms has enabled providers to deliver highly reliable and actionable insights, thereby enhancing the value proposition for end-users such as broadcasters, betting companies, and sports leagues. Consequently, the ability to provide low-latency data feeds has become a key differentiator in the competitive sports data market.

The proliferation of sports betting and fantasy sports platforms globally has significantly contributed to the growth of the sports data low-latency feed market. These platforms rely heavily on real-time data to facilitate seamless user experiences, minimize the risk of arbitrage, and ensure regulatory compliance. The legalization of sports betting in several jurisdictions, particularly in North America and Europe, has led to a surge in demand for high-speed, accurate data feeds that support dynamic odds calculation and in-play wagering. Furthermore, the increasing popularity of fantasy sports leagues has created new avenues for data feed providers to deliver comprehensive player statistics, match updates, and video highlights, all in real time. As the competitive landscape intensifies, companies are investing in advanced infrastructure and partnerships to enhance their data delivery capabilities and expand their market presence.

Technological advancements in network infrastructure, such as the deployment of 5G and edge computing, have played a crucial role in driving the sports data low-latency feed market forward. These technologies enable faster data transmission, reduced latency, and improved reliability, which are essential for delivering real-time sports content to a global audience. The adoption of cloud-based solutions has further facilitated scalability and flexibility, allowing stakeholders to manage large volumes of data efficiently and cost-effectively. Moreover, the integration of video analytics and artificial intelligence has opened new possibilities for automated content generation, personalized recommendations, and enhanced fan engagement. As the industry continues to evolve, the convergence of these technologies is expected to unlock new growth opportunities and redefine the standards for real-time sports data delivery.

Regionally, North America dominates the sports data low-latency feed market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The strong presence of major sports leagues, advanced technological infrastructure, and the rapid adoption of sports betting and fantasy sports platforms have positioned North America as the leading market. Europe is also experiencing significant growth, driven by the increasing popularity of football and the expansion of regulated betting markets. Asia Pacific is emerging as a high-growth region, fueled by rising sports viewership, digital transformation initiatives, and the growing adoption of cloud-based solutions. Latin America and the Middle East & Africa are witnessing steady growth, supported by investments in sports infrastructure and increasing internet penetration. The regional outlook for the mar

Treasury yield curves or treasury zero-coupon yield curve are derived from treasury benchmark curves. The main interest in the market to estimate treasury yield curves is to provide insights into the evolution of market expectations.

The zero coupon rate or zero rate, the most common form of interest rate, is the yield implied by the different between a zero coupon bond's current purchase price and the value it pays at maturity. A given zero rate applies only to a single point in the future and, as such, can only be used to discount cash flows occurring on this date. Zero rates can have different compoundings: continuously, semi-annually, annually, etc. The continuously compounded zero rate has the simplest expression and computation mathematically.

Explore Options Price Reporting Authority (OPRA) through LSEG. OPRA collects, consolidates and disseminates information for US Options.

Graph and download economic data for Producer Price Index by Industry: Petroleum Refineries: Liquefied Refinery Gases, Including Other Aliphatics (Feed Stock and Other Uses) (PCU324110324110R) from Jun 1985 to Jun 2025 about refineries, petroleum, stocks, PPI, industry, inflation, price index, indexes, price, and USA.

According to Cognitive Market Research, the global Financial Data Service market size will be USD 24152.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 9661.00 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 7245.75 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 5555.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1207.63 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 483.05 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
Datafeed/API solutions are the dominant segment, as they allow seamless data integration into existing systems and platforms, making them ideal for companies requiring real-time data across multiple applications

Market Dynamics of Financial Data Service Market

Key Drivers for Financial Data Service Market

Increased Data-Driven Decision-Making to Boost Market Growth

As digital transformation sweeps through financial services, data-driven decision-making has become essential for businesses to remain competitive. Institutions, both financial and non-financial, are increasingly leveraging financial data to guide strategic investments, manage risks, and streamline operations. By utilizing real-time data and predictive analytics, companies gain actionable insights to optimize their investment portfolios and financial planning. With the enhanced capability to analyze data trends and assess market scenarios, businesses can mitigate risks more effectively, making this driver critical to the growth of the financial data service market. For instance, in September 2022, Alibaba Cloud, the digital technology and intellectual backbone of Alibaba Group, launched a comprehensive suite of Alibaba Cloud for Financial Services solutions. Comprising over 70 products, these solutions are designed to help financial services institutions of all sizes across banking, FinTech, insurance, and securities, digitalize their operations

Advancements in Analytics Technology to Drive Market Growth

The integration of advanced analytics technologies like artificial intelligence (AI) and machine learning (ML) in financial data services has significantly enhanced the accuracy and scope of market insights. AI and ML enable companies to process vast amounts of financial data, identify patterns, and make predictions, thus facilitating strategic planning and investment optimization. These technologies also allow for real-time insights, giving firms a competitive advantage in rapidly evolving markets. With continuous improvements in AI and ML, the demand for advanced data services is expected to grow, positioning this as a key driver of market expansion.

Restraint Factor for the Financial Data Service Market

High Cost of Data Services Will Limit Market Growth

The high cost of premium financial data services is a significant restraint, particularly for small and medium-sized enterprises (SMEs). Many advanced platforms and data feeds come with substantial subscription fees, limiting their accessibility to larger organizations with more considerable budgets. This cost barrier restricts smaller firms from fully integrating advanced data insights into their operations. As a result, high subscription costs prevent widespread adoption among SMEs, hindering the financial data service market’s overall growth potential.

Trends for the Financial Data Service Market

Blockchain-based Data Services as an opportunity for the market

Blockchain-based data services offer a secure, transparent, and decentralized approach to financial data management. By leveraging blockchain technology, finance data services can provide tamper-proof and auditable data storage, ensuring the integrity and accuracy of financial data. This can help...

Live market data feed for AI analysis

United States Disposition: Stock Change: FP: Naphtha for Petro Feed data was reported at -286.000 Barrel th in Apr 2018. This records a decrease from the previous number of 6.000 Barrel th for Mar 2018. United States Disposition: Stock Change: FP: Naphtha for Petro Feed data is updated monthly, averaging -3.000 Barrel th from Jan 1981 (Median) to Apr 2018, with 448 observations. The data reached an all-time high of 1,018.000 Barrel th in May 1998 and a record low of -1,098.000 Barrel th in May 2003. United States Disposition: Stock Change: FP: Naphtha for Petro Feed data remains active status in CEIC and is reported by Energy Information Administration. The data is categorized under Global Database’s USA – Table US.RB026: Petroleum Disposition: Stock Change.

The Feed Flavors And Sweeteners Market is segmented by Sub Additive (Flavors, Sweeteners), by Animal (Aquaculture, Poultry, Ruminants, Swine) and by Region (Africa, Asia-Pacific, Europe, Middle East, North America, South America). The market volume and value are presented in metric ton and USD respectively. The key data points include the market size of additives, sub-additives, and also for animal categories.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

All historical per-share time series, including prices, earnings per share, dividends per share, assets per share, cash flow per share, etc. need to be adjusted before meaningful conclusions can be drawn about growth rates, trends, etc.

The feed has all necessary fields so that clients can identify the country, security, currency, event and adjustment factor. Further the feed has been designed for clients to database the records or apply directly to price series data. The file also covers all corporate actions spanning multiple currencies for the same event.

The main benefit of this feed over competitor feeds is that it can be fully automated allowing the handling of messy cancellations and corporate action changes to happen seamlessly in the background. EDI has recently launched a new version (2) of the Worldwide Adjustment Factor feed service. The major three additions are as follows:

• Inclusion of FIGI codes. FIGI codes have been added which will allow clients to crosscheck data sets. • Fields that were sub-fields in the Detail field of the previous version now have their own fields. For example, DivType was in the Detail field (event description) as DIVPERIOD= This will allow for easier integration of the data. • The Reason codes are different, expanded to 3 characters enabling higher level groupings of reasons. For example, all dividend reasons begin with 01, with the 3rd character depending on whether it is cash, script or both. This allows greater granularity when deciding to apply or not.