100+ datasets found
  1. Real-Time Market Data & APIs | Databento

    • databento.com
    csv, dbn, json +1
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    Databento, Real-Time Market Data & APIs | Databento [Dataset]. https://databento.com/live
    Explore at:
    json, dbn, csv, parquetAvailable download formats
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 21, 2017 - Present
    Area covered
    Worldwide
    Description

    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.

  2. ETF Market Data & APIs - NYSE Arca Integrated | Databento

    • databento.com
    csv, dbn, json +1
    Updated Jan 18, 2025
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    Databento (2025). ETF Market Data & APIs - NYSE Arca Integrated | Databento [Dataset]. https://databento.com/datasets/ARCX.PILLAR
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    csv, dbn, parquet, jsonAvailable download formats
    Dataset updated
    Jan 18, 2025
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 21, 2017 - Present
    Area covered
    United States
    Description

    Access NYSE Arca Integrated market data feed for ETPs and ETFs with enhanced granularity and determinism not available via the SIPs or the Openbook feed.

    NYSE Arca Integrated is a proprietary data feed that provides full order book updates, including every quote and order at each price level, on the Arca market (formerly ArcaEX, the Archipelago Exchange). It operates on NYSE's Pillar platform and disseminates all order book activity in an order-by-order view of events, including trade executions, order modifications, cancellations, and other book updates.

    NYSE Arca is the leading US exchange for listing and trading exchange-traded funds (ETFs), offering the narrowest quoted spreads and maintaining the highest percentage of time (71.1%) at the NBBO for all U.S. ETFs. As of January 2025, it represented approximately 9.96% of the average daily volume (ADV) across all exchange-listed US securities, including those listed on Nasdaq, other NYSE venues, and Cboe exchanges.

    With L3 granularity, NYSE Arca Integrated captures information beyond the L1, top-of-book data available through SIP feeds, enabling accurate modeling of book imbalances, quote lifetimes, and queue dynamics. This data includes explicit trade aggressor side, odd lots, and imbalances. Auction imbalances offer valuable insights into NYSE Arca’s opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.

    Full depth of book data on Arca is particularly valuable over the SIPs for modeling pre-market, after-market and sweep-to-fill liquidity on U.S. exchange-traded products (ETPs) and ETFs.

    Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our pricing page for more details.

    Asset class: Equities

    Origin: Directly captured at Equinix NY4 (Secaucus, NJ) 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, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status (Learn more)

    Resolution: Immediate publication, nanosecond-resolution timestamps

  3. d

    Finage Real-Time & Historical Cryptocurrency Market Feed - Global...

    • datarade.ai
    Updated Mar 25, 2021
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    Finage (2021). Finage Real-Time & Historical Cryptocurrency Market Feed - Global Cryptocurrency Data [Dataset]. https://datarade.ai/data-products/real-time-historical-cryptocurrency-market-feed-finage
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    Dataset updated
    Mar 25, 2021
    Dataset authored and provided by
    Finage
    Area covered
    South Africa, Macao, Mayotte, Paraguay, Korea (Democratic People's Republic of), France, Sweden, Switzerland, Turkey, Albania
    Description

    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

  4. Equities Data & APIs - ETF and Stock Market Data | Databento

    • databento.com
    csv, dbn, json +1
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    Databento, Equities Data & APIs - ETF and Stock Market Data | Databento [Dataset]. https://databento.com/equities
    Explore at:
    csv, json, dbn, parquetAvailable download formats
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 1, 2018 - Present
    Area covered
    United States
    Description

    Download real-time and historical stock price data, including all buy and sell orders at every price level. Get each trade tick-by-tick and order queue composition at all prices. Access high-fidelity US equities stock market data using our Python, Rust, and C++ APIs. Providing full order book depth (MBO), OHLC aggregates, and more.

  5. d

    FinPricing Treasury Yield Curve, Zero Rate Curve Data Feed API - USA,...

    • datarade.ai
    .json
    Updated Dec 4, 2020
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    FinPricing (2020). FinPricing Treasury Yield Curve, Zero Rate Curve Data Feed API - USA, Europe, Japan, New Zealand [Dataset]. https://datarade.ai/data-products/treasury-yield-curve-zero-rate-curve-data-feed-api-finpricing
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Dec 4, 2020
    Dataset authored and provided by
    FinPricing
    Area covered
    Japan, Denmark, Belgium, France, Greece, Estonia, Canada, United States, New Zealand
    Description

    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.

  6. d

    Crypto Quotes: Real-Time & Historical CEX/DEX Data | Crypto Data | Bid Price...

    • datarade.ai
    .json, .csv
    + more versions
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    CoinAPI, Crypto Quotes: Real-Time & Historical CEX/DEX Data | Crypto Data | Bid Price | Ask Price [Dataset]. https://datarade.ai/data-products/coinapi-crypto-quotes-data-real-time-historical-quotes-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Oman, Bahamas, Croatia, Saudi Arabia, France, Papua New Guinea, Vanuatu, El Salvador, Marshall Islands, Vietnam
    Description

    CoinAPI's Level 1 Crypto Quote Data delivers essential digital asset market intelligence, capturing real-time bid/ask prices and volumes across 350+ exchanges including both CEX and DEX platforms.

    This comprehensive data stream provides precise market snapshots with microsecond-accurate timestamps, perfect for applications demanding rapid price discovery and effective market monitoring.

    Designed for minimal latency and maximum update frequency, our feed powers everything from sophisticated trading algorithms and responsive price widgets to in-depth market analysis tools.

    You can access data through FIX or WebSocket for instant streaming or REST API for historical analysis and backtesting.

    Why work with us?

    Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume - Full Cryptocurrency Investor Data

    Technical Excellence: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

    CoinAPI is trusted by financial institutions, trading firms, hedge funds, researchers, and technology developers worldwide. We provide reliable cryptocurrency market data through our commitment to quality and technical performance.

  7. Get OHLCV, MBO, equities market events, and more from NYSE Integrated

    • databento.com
    csv, dbn, json
    Updated Jan 15, 2025
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    Databento (2025). Get OHLCV, MBO, equities market events, and more from NYSE Integrated [Dataset]. https://databento.com/datasets/XNYS.PILLAR
    Explore at:
    json, dbn, csvAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    Mar 28, 2023 - Present
    Area covered
    United States
    Description

    NYSE Integrated is a proprietary data feed that disseminates full order book updates from the New York Stock Exchange (XNYS). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations.

    NYSE is the leading venue for listing blue-chip companies and large-cap stocks. Powered by NYSE's Pillar platform, its hybrid market model of floor-based auction and electronic trading allows it to capture a significant portion of trading activity during the US equity market open and close. As of January 2025, the NYSE represented approximately 6.31% of the average daily volume (ADV) across all exchange-listed US securities, including those listed on Nasdaq, other NYSE venues, and Cboe exchanges.

    NYSE is also the only exchange to offer Designated Market Maker (DMM) privileges, allowing the floor to send D-Quote Orders, short for Discretionary Orders, throughout the day. Most D-Quote Orders execute in the closing auction, where they're known as Closing D Orders and allow traders to access the NYSE closing auction after 3:50 PM. This creates significant price discovery during the NYSE Closing Auction, where interest represented via the floor contributes more than 40% of total volume.

    NYSE is also unique for being the only exchange with a Parity/Priority Allocation model for matching. This resembles a mixed FIFO and pro-rata matching algorithm, where the participant who sets the best price is matched first, and then the remaining shares are allocated to other orders entered by floor brokers at that price (parity allocation). Floor brokers may utilize e-Quotes to to receive such parity allocation of incoming executions.

    With L3 granularity, NYSE Integrated captures information beyond the L1, top-of-book data available through SIP feeds, enabling accurate modeling of the book imbalances, queue dynamics, and the auction process. This data includes explicit trade aggressor side, odd lots, and imbalances. Auction imbalances offer valuable insights into NYSE’s opening and closing auctions by providing details like imbalance quantity, paired quantity, imbalance reference price, and book clearing price.

    Historical data is available for usage-based rates or with any Databento US Equities subscription. Visit our pricing page for more details or to upgrade your plan.

    Asset class: Equities

    Origin: Directly captured at Equinix NY4 (Secaucus, NJ) 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, BBO-1s, BBO-1m, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Imbalance, Statistics, Status (Learn more)

    Resolution: Immediate publication, nanosecond-resolution timestamps

  8. Pricing and Market Data

    • lseg.com
    Updated Nov 19, 2023
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    LSEG (2023). Pricing and Market Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data
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    Dataset updated
    Nov 19, 2023
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    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.

  9. d

    FinPricing Inflation Curve Data Feed API - USA, UK, Canada, Australia, New...

    • datarade.ai
    .json
    Updated Dec 3, 2020
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    FinPricing (2020). FinPricing Inflation Curve Data Feed API - USA, UK, Canada, Australia, New Zealand [Dataset]. https://datarade.ai/data-products/inflation-curve-data-feed-api-finpricing
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Dec 3, 2020
    Dataset authored and provided by
    FinPricing
    Area covered
    Canada, United States, United Kingdom, New Zealand, Australia
    Description

    Inflation curves or Consumer Price Index (CPI) curves are the term structures of CPI rates at different maturities. They are essential for pricing inflation securities and derivatives.

    The most popular inflation products are inflation linked bonds, zero coupon inflation swaps, inflation swaps, and inflation caps/floors.

    Unfortunately forward CPI rates are not market observable. But they can be derived/implied from inflation instruments.

    FinPricing bootstraps inflation curve from a number of inflation instruments that are the most liquid inflation products at certain maturities.

  10. c

    The global Financial Data Service market size will be USD 24152.5 million in...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, The global Financial Data Service market size will be USD 24152.5 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/financial-data-services-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    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...

  11. LSE Market Data

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). LSE Market Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/equities-market-data/lse-market-data
    Explore at:
    csv,delimited,gzip,html,json,pcap,pdf,parquet,python,sql,string format,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

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

  12. d

    Crypto Options Data & Derivatives | Real-Time & Historical Cryptocurrency...

    • datarade.ai
    .json, .csv
    Updated Oct 20, 2024
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    CoinAPI (2024). Crypto Options Data & Derivatives | Real-Time & Historical Cryptocurrency Market Data [Dataset]. https://datarade.ai/data-products/coinapi-crypto-options-data-crypto-derivatives-data-opti-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Oct 20, 2024
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Sierra Leone, Tunisia, Iceland, Montserrat, Brunei Darussalam, Niue, Uzbekistan, Russian Federation, Samoa, Uruguay
    Description

    Cryptocurrency options markets have grown increasingly sophisticated, requiring reliable data infrastructure to support trading and analysis. Our platform gives you direct access to comprehensive crypto options data through straightforward API connections.

    We capture the complete options chain across major crypto derivatives exchanges, delivering real-time and historical cryptocurrency market data that shows exactly what's happening in these complex markets. Each options contract is tracked with precision - strikes, expiration dates, premiums, open interest, and volume metrics all accessible through our standardized data feeds.

    The data is available through multiple integration methods depending on your needs. Use our REST API for flexible queries and historical analysis, WebSocket for real-time market monitoring, or FIX protocol for institutional-grade connectivity with minimal latency.

    Why work with us?

    Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume

    Technical Excellence: - 99% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance

    When options traders need reliable market intelligence, they don't leave it to chance. That's why trading desks across five continents, quantitative hedge funds managing billions, and fintech innovators building tomorrow's trading platforms all rely on our data infrastructure. We've established ourselves as a dependable source in a market where accuracy isn't just preferred - it's essential. While others promise comprehensive coverage, we deliver it consistently, trade after trade, day after day.

  13. IntelligentCross Market Data and APIs | Databento

    • databento.com
    csv, dbn, json
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    Databento, IntelligentCross Market Data and APIs | Databento [Dataset]. https://databento.com/datasets/INCR.IQX
    Explore at:
    csv, dbn, jsonAvailable download formats
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    Sep 16, 2024 - Present
    Area covered
    United States
    Description

    IntelligentCross IQX is the primary market data feed for IntelligentCross, an AI-powered Alternative Trading System (ATS) that optimizes trading in US equities. This innovative data feed covers trading activity across major US stock exchanges, featuring precise microsecond-level timestamps and comprehensive order book data. The dataset includes all US equities traded on the IntelligentCross ASPEN and APEX platforms, which are designed to reduce market impact and minimize slippage for institutional investors. IntelligentCross IQX provides detailed insights into trade execution quality, price discovery, and liquidity patterns across its technologically advanced trading venues. This data feed offers valuable intelligence for traders, quants, and researchers seeking to optimize execution strategies and understand market microstructure in the US equities landscape.

    Asset class(es): Equities

    Origin: Directly captured at Equinix NY4 (Secaucus, NJ) 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, Imbalance Learn more

    Resolution: Immediate publication, nanosecond-resolution timestamps

  14. CME Group Futures and Options Market Data (CME Globex MDP 3.0)

    • databento.com
    csv, dbn, json
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    Databento, CME Group Futures and Options Market Data (CME Globex MDP 3.0) [Dataset]. https://databento.com/datasets/GLBX.MDP3
    Explore at:
    dbn, csv, jsonAvailable download formats
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    Jun 6, 2010 - Present
    Area covered
    Worldwide
    Description

    Access CME Group data sourced directly from raw feeds at colocation sites. Try out our market data APIs for Python, C++, and other applications for free.

    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.

    Breadth of coverage: 2,138 products

    Asset class(es): Futures, 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

  15. A

    Amino Acid API Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 30, 2025
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    Data Insights Market (2025). Amino Acid API Report [Dataset]. https://www.datainsightsmarket.com/reports/amino-acid-api-1205957
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Amino Acid API market is experiencing robust growth, driven by increasing demand from various sectors, including pharmaceuticals, food & beverages, and animal feed. The market's expansion is fueled by several key factors. Firstly, the rising prevalence of chronic diseases like diabetes and cardiovascular ailments is boosting the demand for amino acid-based pharmaceuticals. Secondly, the growing awareness of the importance of nutrition and the health benefits of amino acids is driving consumption in the food and beverage industry. Thirdly, the expansion of the animal feed industry, which utilizes amino acids to enhance animal health and productivity, contributes significantly to market growth. While specific market size figures are unavailable, considering a plausible CAGR (let's assume 5% for illustration) and a 2025 market value within the billions (a reasonable estimate given the industry's scale), the market is projected to reach considerable size by 2033. The competitive landscape is marked by a mix of established global players like Ajinomoto and Evonik and several regional players, indicating a dynamic and evolving market. Challenges facing the market include fluctuating raw material prices, stringent regulatory approvals, and the potential for substitution with alternative products. However, ongoing research and development in amino acid production technologies, particularly in areas like fermentation and enzymatic synthesis, are expected to mitigate these challenges. The segmentation of the market (data not provided) likely includes different types of amino acids, which vary in their applications and market dynamics. Regional variations are also expected, with developed markets like North America and Europe exhibiting higher per capita consumption and more sophisticated applications compared to developing economies. Future growth will depend on factors such as technological advancements, regulatory landscape changes, and consumer demand, with a particular focus on sustainable and cost-effective production methods.

  16. B

    Bank Feed Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 20, 2025
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    Market Research Forecast (2025). Bank Feed Report [Dataset]. https://www.marketresearchforecast.com/reports/bank-feed-44220
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global bank feed market is experiencing robust growth, driven by the increasing adoption of cloud-based accounting software and the rising demand for automated financial data management solutions across SMEs and large enterprises. The market's expansion is fueled by several key factors: the need for improved financial accuracy and efficiency, enhanced regulatory compliance requirements, and the desire for real-time financial insights. Direct feed solutions, which offer a seamless integration with banking systems, are witnessing higher adoption rates compared to indirect feeds, reflecting a preference for streamlined and automated processes. Large enterprises, with their complex financial structures, are major contributors to market growth, while the SME segment is also expanding rapidly, fueled by the accessibility and affordability of cloud-based accounting solutions. Geographic variations exist, with North America and Europe currently dominating the market due to higher technological adoption and a well-established fintech ecosystem. However, regions like Asia-Pacific are projected to show significant growth in the coming years driven by increasing digitalization and economic expansion. Competitive pressures are high, with numerous established players and emerging fintech companies vying for market share. The market's future trajectory suggests continued expansion, driven by ongoing technological advancements such as AI-powered data analysis and enhanced security features within bank feed solutions. Despite the promising growth, the market faces certain challenges. Integration complexities with diverse banking systems and data security concerns remain significant hurdles. Furthermore, the reliance on secure APIs and the need for continuous updates to adapt to evolving banking systems and regulations pose ongoing operational challenges for providers. Data privacy regulations like GDPR also influence market dynamics, necessitating robust compliance measures. However, innovative solutions addressing these challenges, coupled with the inherent advantages of automated bank feeds, are expected to mitigate these restraints and sustain market expansion throughout the forecast period. The market's evolution will likely be shaped by partnerships and acquisitions amongst existing players, as well as the entry of new companies with disruptive technologies.

  17. ICE Europe Financials Market Data

    • databento.com
    csv, dbn, json
    Updated Jun 24, 2025
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    Databento (2025). ICE Europe Financials Market Data [Dataset]. https://databento.com/datasets/IFLL.IMPACT
    Explore at:
    csv, dbn, jsonAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    Dec 10, 2024 - Present
    Area covered
    Europe
    Description

    ICE Europe Financials provides market data for interest rates and financial products traded on ICE Europe Commodities, including contracts such as Euribor, SONIA, Gilts, and Short Sterling. The ICE Europe Commodities iMpact market data feed delivers comprehensive information for these financial instruments, including all listed outrights, spreads, options, and options combinations across all expiration months. This data feed complements the ICE Europe Commodities offering and provides traders with complete visibility into interest rates and financial products traded on the exchange.

    Asset class: Futures, Options

    Origin: 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

  18. d

    Real-Time API | Soccer Sports Data | Global Coverage | Football Betting...

    • datarade.ai
    .bin
    Updated Apr 10, 2025
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    VOdds (2025). Real-Time API | Soccer Sports Data | Global Coverage | Football Betting Strategy [Dataset]. https://datarade.ai/data-products/real-time-api-soccer-sports-data-global-coverage-footba-vodds-6d70
    Explore at:
    .binAvailable download formats
    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    VOdds
    Area covered
    Jersey, Tajikistan, Senegal, Sint Eustatius and Saba, Holy See, Solomon Islands, Papua New Guinea, Panama, Bolivia (Plurinational State of), Belgium
    Description

    The UNITY Soccer API is a powerful solution for delivering highly accurate, real-time football (soccer) odds to sportsbooks, betting apps, affiliate platforms, and data-driven systems. As part of the broader UNITY Odds Feed API, the Soccer API is engineered for speed, scalability, and flexibility—allowing seamless integration of betting markets across the world’s most popular sport.

    The UNITY Soccer API is a robust, enterprise-grade solution that powers football betting platforms with real-time, historical, and highly accurate data. With extensive market coverage, flexible customization, and deep global reach, it supports any betting-related use case—whether you're building a full-scale sportsbook, launching a mobile app, or analyzing data for predictive modeling.

    Combined with a powerful support infrastructure, seamless integration tools, and competitive bookmaker data, the UNITY Soccer API is the ideal foundation for your next-generation football betting solution.

  19. V

    Vitamin A API Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 5, 2025
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    Data Insights Market (2025). Vitamin A API Report [Dataset]. https://www.datainsightsmarket.com/reports/vitamin-a-api-1081809
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Jul 5, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Vitamin A API market is a dynamic sector experiencing significant growth, driven by increasing demand from the pharmaceutical, food, and feed industries. The market's expansion is fueled by rising awareness of Vitamin A's crucial role in maintaining good health, particularly in vision, immune function, and reproduction. Growth is further propelled by technological advancements in Vitamin A synthesis, leading to improved efficiency and cost reduction. While precise market sizing data is unavailable, considering a typical CAGR for similar specialty chemical markets, a reasonable estimate for the 2025 market size could be around $800 million, projecting to approximately $1.2 billion by 2033 based on a conservative 5% CAGR. Key players like DSM, BASF, and Zhejiang NHU dominate the market, leveraging their established production capabilities and distribution networks. The market is segmented by production methods (chemical synthesis, fermentation), type (retinyl palmitate, retinyl acetate), and application (pharmaceuticals, animal feed, food fortification).
    However, the market faces certain restraints. Price fluctuations in raw materials, stringent regulatory approvals, and the potential for regional market saturation pose challenges for sustained growth. Furthermore, increasing competition from new entrants, particularly in emerging economies, could impact profitability. Despite these challenges, the long-term outlook for the Vitamin A API market remains positive, driven by a growing global population, increasing dietary supplementation trends, and expanding applications in various industries. Strategies focused on product innovation, efficient production, and strategic partnerships are vital for companies looking to secure a leading position in this evolving market.

  20. Eurex Market Data and APIs

    • databento.com
    csv, dbn, json
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    Databento, Eurex Market Data and APIs [Dataset]. https://databento.com/datasets/XEUR.EOBI
    Explore at:
    dbn, csv, jsonAvailable download formats
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    Mar 2, 2025 - Present
    Area covered
    Europe
    Description

    Trades and order book data for all Eurex products. The EOBI feed provides order-by-order updates of the full order book (MBO). Directly captured at Equinix FR2 (Frankfurt, DE) with an FPGA-based network card and hardware timestamping.

    Asset class: Futures, Options

    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

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Click to copy link
Link copied
Close
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Databento, Real-Time Market Data & APIs | Databento [Dataset]. https://databento.com/live
Organization logo

Real-Time Market Data & APIs | Databento

Real-time stock market API - Access indices data and more

Explore at:
json, dbn, csv, parquetAvailable download formats
Dataset provided by
Databento Inc.
Authors
Databento
Time period covered
May 21, 2017 - Present
Area covered
Worldwide
Description

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.

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