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

United States New York Stock Exchange: Index: Dow Jones US Financial Services Index data was reported at 1,153.620 NA in Apr 2025. This records a decrease from the previous number of 1,167.650 NA for Mar 2025. United States New York Stock Exchange: Index: Dow Jones US Financial Services Index data is updated monthly, averaging 647.670 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 1,242.580 NA in Jan 2025 and a record low of 358.160 NA in Aug 2013. United States New York Stock Exchange: Index: Dow Jones US Financial Services Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.

NEX Data delivers pricing, analytics, index and regulatory reporting solutions to a global and diverse client base and providing them innovative insights.

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.

The B2B data exchange market is experiencing robust growth, projected to reach $1232.7 million in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 23.9% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing reliance on real-time data for informed business decisions across various sectors, including Banking, Finance and Insurance (BFSI), IT and Telecommunications, and Government and Healthcare, is a major catalyst. Furthermore, the growing adoption of cloud-based solutions and APIs is streamlining data exchange processes, reducing costs, and improving efficiency. The rise of data security and compliance regulations is also driving demand for secure and reliable B2B data exchange platforms. Different exchange types like Circuit, Message, Packet, and Hybrid cater to specific needs, reflecting the market's maturity and diverse applications. The preference for specific exchange types varies across sectors. For example, BFSI might lean towards secure message exchanges, while IT and Telecommunications may prioritize high-speed packet exchanges. Geographic growth is anticipated to be robust across North America, Europe, and Asia-Pacific, with significant contributions from regions like the United States, United Kingdom, China, and India. Competitive pressures are shaping the market, with established players like Informatica and emerging companies vying for market share. The sustained growth trajectory is expected to continue throughout the forecast period (2025-2033), driven by the ongoing digital transformation across industries. Innovation in data exchange technologies, coupled with increasing adoption of advanced analytics, promises further market expansion. However, challenges remain. Data security concerns, especially with increasing cyber threats, require robust security measures. Integration complexities and the need for skilled personnel to manage these systems pose further hurdles. Nevertheless, the long-term outlook for the B2B data exchange market remains overwhelmingly positive, offering significant opportunities for established and emerging players alike. The diverse applications across numerous sectors ensure a steady stream of new use cases and innovation, guaranteeing consistent growth in the coming years.

New York Stock Exchange: Index: S&P Consumer Staples Select Sector Index data was reported at 826.910 NA in Apr 2025. This records an increase from the previous number of 825.980 NA for Mar 2025. New York Stock Exchange: Index: S&P Consumer Staples Select Sector Index data is updated monthly, averaging 581.670 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 840.110 NA in Sep 2024 and a record low of 395.070 NA in Aug 2013. New York Stock Exchange: Index: S&P Consumer Staples Select Sector Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: S&P: Monthly.

United States New York Stock Exchange: Index: US 100 Index data was reported at 16,491.357 NA in Apr 2025. This records a decrease from the previous number of 16,852.600 NA for Mar 2025. United States New York Stock Exchange: Index: US 100 Index data is updated monthly, averaging 10,169.600 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 17,440.815 NA in Feb 2025 and a record low of 5,695.000 NA in May 2012. United States New York Stock Exchange: Index: US 100 Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Monthly.

Data Exchange Tool Market Outlook

The global data exchange tool market size was valued at approximately USD 2.5 billion in 2023 and is projected to reach around USD 10.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 17.8% during the forecast period. This robust growth is driven by the increasing need for efficient data management and sharing solutions across various industries. As organizations continue to generate and rely on vast amounts of data, the demand for advanced tools that can facilitate seamless and secure data exchanges is expected to soar.

One of the primary growth factors propelling the data exchange tool market is the exponential increase in data generation across industries. With the advent of the digital age, businesses are generating unprecedented amounts of data, necessitating robust data exchange tools to manage, share, and secure this information effectively. The rise of big data analytics, artificial intelligence, and machine learning further underscores the need for sophisticated data exchange solutions to handle the sheer volume and complexity of data involved in modern applications.

The increasing adoption of cloud-based services is another critical factor driving the market's growth. Cloud computing offers scalable and flexible solutions for data storage and management, enabling businesses to access and share data more efficiently. This trend is particularly evident in small and medium enterprises (SMEs), which often lack the resources to maintain extensive on-premises infrastructure. By leveraging cloud-based data exchange tools, these enterprises can enhance their operational efficiency and competitiveness in the market.

Additionally, stringent regulatory requirements regarding data privacy and security are fueling the demand for advanced data exchange tools. Industries such as healthcare, finance, and government are subject to strict regulations that mandate secure data handling practices. Data exchange tools equipped with robust encryption and compliance features help organizations meet these regulatory requirements, thereby reducing the risk of data breaches and ensuring the integrity of sensitive information. This compliance-driven demand is expected to significantly contribute to the market's growth over the forecast period.

From a regional perspective, North America is anticipated to dominate the data exchange tool market, driven by the region's advanced technological infrastructure and high adoption rates of digital solutions. The presence of major technology companies and a strong focus on innovation further bolster the market's growth in this region. However, the Asia Pacific region is expected to witness the highest CAGR during the forecast period, owing to rapid digital transformation initiatives and increasing investments in IT infrastructure across emerging economies such as China and India.

Component Analysis

The data exchange tool market can be segmented by component into software and services. The software segment is expected to hold a significant share of the market, driven by the continuous advancements in software technology that enhance the capabilities of data exchange tools. Software solutions offer a range of functionalities, from data integration and processing to analytics and visualization, making them indispensable for organizations seeking to leverage their data assets effectively. The increasing adoption of software-as-a-service (SaaS) models further boosts the market, as it provides cost-effective and scalable solutions for data exchange.

Within the software segment, specialized data exchange platforms are gaining traction due to their ability to support complex data workflows and integrations. These platforms enable seamless data sharing across diverse systems and applications, ensuring data consistency and accuracy. Advanced features such as real-time data synchronization, automated data mapping, and comprehensive data governance capabilities are driving the uptake of these sophisticated software tools. As businesses increasingly recognize the strategic value of data, the demand for robust and feature-rich data exchange software is expected to grow substantially.

The services segment, encompassing consulting, implementation, and support services, is also poised for significant growth. As organizations embark on digital transformation journeys, they often require expert guidance to navigate the complexities of data integration and management. Consulting services play a crucial role in helping businesses devise effective dat

Techsalerator's Corporate Actions Dataset in Israel offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 473 companies traded on the Tel-Aviv Stock Exchange (XTAE).

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Top 5 used data fields in the Corporate Actions Dataset for Israel:

• Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

• Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

• Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

• Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

• Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

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Top 5 corporate actions in Israel:

Technology and Startups: Corporate actions in Israel's renowned technology sector, including mergers, acquisitions, and initial public offerings (IPOs), are crucial for the country's innovation ecosystem and its reputation as the "Startup Nation."

Healthcare and Life Sciences: Corporate actions related to pharmaceuticals, medical research, and healthcare startups contribute to Israel's reputation as a hub for medical innovation and cutting-edge research.

Cybersecurity and Defense Technology: Corporate actions in the cybersecurity and defense technology sectors reflect Israel's expertise in developing advanced cybersecurity solutions and defense systems.

Renewable Energy and Cleantech: Corporate actions related to renewable energy projects and cleantech initiatives align with Israel's efforts to develop sustainable energy sources and address environmental challenges.

Financial Services and Fintech: Corporate actions involving financial technology (fintech) startups, digital payment solutions, and blockchain technology contribute to Israel's financial services sector's modernization.

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Top 5 financial instruments with corporate action Data in Israel

Israel Stock Exchange (ISE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Israel Stock Exchange. This index would provide insights into the performance of the Israeli stock market.

Israel Stock Exchange (ISE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Israel Stock Exchange, if foreign listings were present. This index would give an overview of foreign business involvement in Israel.

SuperMart Israel: An Israel-based supermarket chain with operations in multiple regions. SuperMart focuses on providing essential products to local communities and contributing to the retail sector's growth.

FinanceIsrael: A financial services provider in Israel with a focus on promoting financial inclusion and access to banking services, particularly among underserved communities.

AgriTech Israel: A company dedicated to advancing agricultural technology in Israel, focusing on optimizing crop yields and improving food security to support the country's agricultural sector.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Israel, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

Q&A:

How much does the Corporate Actions Dataset cost in Israel?

The cost of the Corporate Actions Dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

How complete is the Corporate Actions Dataset coverage in Israel ?

Techsalerator provides comprehensive coverage of Corporate Actions Data for various companies and...

Explore LSEG's Euronext Market Data, including full access to benchmarks and indices, and corporate action and dividend data.

Yahoo Finance Business Information dataset to access comprehensive details on companies, including financial data and business profiles. Popular use cases include market analysis, investment research, and competitive benchmarking.

Use our Yahoo Finance Business Information dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape.

Dataset Features

• name: Represents the company name.
• company_id: Unique identifier assigned to each company.
• entity_type: Denotes the type/category of the business entity.
• summary: A brief description or summary of the company.
• stock_ticker: The ticker symbol used for trading on stock exchanges.
• currency: The currency in which financial values are expressed.
• earnings_date: The date for the reported earnings.
• exchange: The stock exchange on which the company is listed.
• closing_price: The final stock price at the end of the trading day.
• previous_close: The stock price at the close of the previous trading day.
• open: The price at which the stock opened for the trading day.
• bid: The current highest price that a buyer is willing to pay for the stock.
• ask: The current lowest price that a seller is willing to accept.
• day_range: The range between the lowest and highest prices during the trading day.
• week_range: A broader price range over the past week.
• volume: Number of shares that traded in the session.
• avg_volume: Average daily share volume over a specific period.
• market_cap: Total market capitalization of the company.
• beta: A measure of the stock's volatility in comparison to the market.
• pe_ratio: Price-to-earnings ratio for valuation.
• eps: Earnings per share.
• dividend_yield: Dividend yield percentage.
• ex_dividend_date: The date on which the stock trades without the right to the declared dividend.
• target_est: The analyst's target price estimate.
• url: The URL to more detailed company information.
• people_also_watch: Companies frequently watched alongside this company.
• similar: Other companies with similar profiles.
• risk_score: A quantified risk score.
• risk_score_text: A textual interpretation of the risk score.
• risk_score_percentile: The risk score expressed in percentile terms.
• recommendation_rating: Analyst recommendation ratings.
• analyst_price_target: Analyst provided stock price target.
• company_profile_address: Company address from the profile.
• company_profile_website: URL for the company’s website.
• company_profile_phone: Contact phone number.
• company_profile_sector: The sector in which the company operates.
• company_profile_industry: Industry classification of the company.
• company_profile_employees: Number of employees in the company.
• company_profile_description: A detailed profile description of the company.
• valuation_measures: Contains key valuation ratios and metrics such as enterprise value, price-to-book, and price-to-sales ratios.
• Financial_highlights: Offers summary financial statistics including EPS, profit margin, revenue, and cash flow indicators.
• financials: This column appears to provide financial statement data.
• financials_quarterly: Similar to the previous field but intended to capture quarterly financial figures.
• earnings_estimate: Contains consensus earnings estimates including average, high, and low estimates along with the number of analysts involved.
• revenue_estimate: Provides revenue estimates with details such as average estimate, high and low values, and sales growth factors.
• earnings_history: This field tracks historical earnings and surprises by comparing actual EPS with estimates.
• eps_trend: Contains information on how the EPS has trended over various recent time intervals.
• eps_revisions: Captures recent changes in EPS forecasts.
• growth_estimates: Offers projections related to growth prospects over different time horizons.
• top_analysts: Intended to list the top analysts covering the company.
• upgrades_and_downgrades: This field shows recent analyst upgrades or downgrades.
• recent_news: Meant to contain recent news articles related to the company.
• fanacials_currency: Appears to indicate the currency used for financial reporting or valuation in the dataset.
• **company_profile_he

Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.

Recent developments in data analysis and machine learning support novel data-driven operations. Event data provide social and environmental context, thus, such data become very important to be integrated into the workflow of data analytic pipelines. We introduce our Business Event Exchange Ontology (BEEO), based on Schema.org that enables data integration and analytics for event data.
BEEO is available under Apache 2.0 license on GitHub and is seeing adoption among both its creator companies and other product and service companies.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 214 companies listed on the Panama Stock Exchange (XPTY) in Panama. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Panama:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Panama:

Panamanian Stock Exchange Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Panamanian Stock Exchange (Bolsa de Valores de Panamá). This index provides an overview of the overall market performance in Panama.

Panamanian Stock Exchange Foreign Company Index: The index that tracks the performance of foreign companies listed on the Panamanian Stock Exchange. This index reflects the performance of international companies operating in Panama.

Company A: A prominent Panamanian company with diversified operations across various sectors, such as shipping, logistics, or finance. This company's stock is widely traded on the Panamanian Stock Exchange.

Company B: A leading financial institution in Panama, offering banking, insurance, or investment services. This company's stock is actively traded on the Panamanian Stock Exchange.

Company C: A major player in the Panamanian energy or real estate sector, involved in the production and distribution of related products. This company's stock is listed and actively traded on the Panamanian Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Panama, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

‍

Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Panama ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Panama?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Panama exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direc...

Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Multiple and All Other Food Uses" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".

United States New York Stock Exchange: Index: MSCI US data was reported at 5,314.518 NA in Apr 2025. This records a decrease from the previous number of 5,346.314 NA for Mar 2025. United States New York Stock Exchange: Index: MSCI US data is updated monthly, averaging 2,588.868 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 5,783.640 NA in Jan 2025 and a record low of 1,251.287 NA in May 2012. United States New York Stock Exchange: Index: MSCI US data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: MSCI: Monthly.

Browse KC HRW Wheat Futures (KE) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

The CME Group Market Data Platform (MDP) 3.0 disseminates event-based bid, ask, trade, and statistical data for CME Group markets and also provides recovery and support services for market data processing. MDP 3.0 includes the introduction of Simple Binary Encoding (SBE) and Event Driven Messaging to the CME Group Market Data Platform. Simple Binary Encoding (SBE) is based on simple primitive encoding, and is optimized for low bandwidth, low latency, and direct data access. Since March 2017, MDP 3.0 has changed from providing aggregated depth at every price level (like CME's legacy FAST feed) to providing full granularity of every order event for every instrument's direct book. MDP 3.0 is the sole data feed for all instruments traded on CME Globex, including futures, options, spreads and combinations. Note: We classify exchange-traded spreads between futures outrights as futures, and option combinations as options.

Origin: Directly captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP

Supported data encodings: DBN, CSV, JSON Learn more

Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use in the North Central region on a monthly basis. Uses include "Bakery, Cereal and Related Products"; "Confectionery and Related Products"; "Ice Cream and Related Products"; "Beverages"; "Canned, Bottled and Frozen Foods"; "Multiple and All Other Food Uses", "Non-Food Uses", "Hotels, Restaurants and Institutions"; "Wholesale Grocers, Jobbers and Dealers", "Retail Grocers and Chain Stores", "Deliveries to Government Agencies", and "All Other Deliveries".

The Big Data Exchange market has emerged as a pivotal component in today's data-driven landscape, fundamentally reshaping how organizations manage, analyze, and utilize vast amounts of data. As businesses recognize the immense value hidden within their data reservoirs, the need for efficient data exchange frameworks

These data give the approximately fortnightly measurements of soil CO2 efflux in the Straits Inclosure, Alice Holt Forest, Hampshire, UK. The site is a mature productive oak (Quercus robur L.) woodland on a surface-water stagnogley soil. CO2 efflux was measured using a LI-COR LI-8100 on collars inserted into the soil and including the litter layer. See also: General description of the Straits site in Wilkinson, M., Eaton, E.L., Broadmeadow, M.S.J. and Morison, J.I.L., 2012. Inter-annual variation of carbon uptake by a plantation oak woodland in south-eastern England. Biogeosciences, 9(12), pp.5373-5389