77 datasets found
  1. o

    IvyDB Signed Volume - Daily Options Trading Volume Data

    • optionmetrics.com
    Updated Nov 15, 2023
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    OptionMetrics (2023). IvyDB Signed Volume - Daily Options Trading Volume Data [Dataset]. https://optionmetrics.com/
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    Dataset updated
    Nov 15, 2023
    Dataset authored and provided by
    OptionMetrics
    License

    https://optionmetrics.com/contact/https://optionmetrics.com/contact/

    Time period covered
    Jan 1, 2016 - Present
    Description

    The IvyDB Signed Volume dataset, available as an add-on product for IvyDB US, contains daily data on detailed option trading volume. Trades in the IvyDB US dataset are assigned as either buyer-initiated or seller-initiated based on the trade price and the bid-ask quote at the time of the trade. The total assigned daily volume is aggregated and updated nightly.

  2. d

    Historical volatility time series and Live prices on Equity Options

    • datarade.ai
    Updated Mar 9, 2023
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    Canari (2023). Historical volatility time series and Live prices on Equity Options [Dataset]. https://datarade.ai/data-products/historical-volatility-time-series-and-live-prices-on-equity-o-canari
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    Dataset updated
    Mar 9, 2023
    Dataset authored and provided by
    Canari
    Area covered
    Belgium, France, Italy, Spain, Netherlands, Norway, Sweden, United Kingdom, Germany, Switzerland
    Description

    This dataset offers both live (delayed) prices and End Of Day time series on equity options

    1/ Live (delayed) prices for options on European stocks and indices including: Reference spot price, bid/ask screen price, fair value price (based on surface calibration), implicit volatility, forward Greeks : delta, vega Canari.dev computes AI-generated forecast signals indicating which option is over/underpriced, based on the holders strategy (buy and hold until maturity, 1 hour to 2 days holding horizon...). From these signals is derived a "Canari price" which is also available in this live tables.
    Visit our website (canari.dev ) for more details about our forecast signals.

    The delay ranges from 15 to 40 minutes depending on underlyings.

    2/ Historical time series: Implied vol Realized vol Smile Forward
    See a full API presentation here : https://youtu.be/qitPO-SFmY4 .

    These data are also readily accessible in Excel thanks the provided Add-in available on Github: https://github.com/canari-dev/Excel-macro-to-consume-Canari-API

    If you need help, contact us at: contact@canari.dev

    User Guide: You can get a preview of the API by typing "data.canari.dev" in your web browser. This will show you a free version of this API with limited data.

    Here are examples of possible syntaxes:

    For live options prices: data.canari.dev/OPT/DAI data.canari.dev/OPT/OESX/0923 The "csv" suffix to get a csv rather than html formating, for example: data.canari.dev/OPT/DB1/1223/csv For historical parameters: Implied vol : data.canari.dev/IV/BMW

    data.canari.dev/IV/ALV/1224

    data.canari.dev/IV/DTE/1224/csv

    Realized vol (intraday, maturity expressed as EWM, span in business days): data.canari.dev/RV/IFX ... Implied dividend flow: data.canari.dev/DIV/IBE ... Smile (vol spread between ATM strike and 90% strike, normalized to 1Y with factor 1/√T): data.canari.dev/SMI/DTE ... Forward: data.canari.dev/FWD/BNP ...

    List of available underlyings: Code Name OESX Eurostoxx50 ODAX DAX OSMI SMI (Swiss index) OESB Eurostoxx Banks OVS2 VSTOXX ITK AB Inbev ABBN ABB ASM ASML ADS Adidas AIR Air Liquide EAD Airbus ALV Allianz AXA Axa BAS BASF BBVD BBVA BMW BMW BNP BNP BAY Bayer DBK Deutsche Bank DB1 Deutsche Boerse DPW Deutsche Post DTE Deutsche Telekom EOA E.ON ENL5 Enel INN ING IBE Iberdrola IFX Infineon IES5 Intesa Sanpaolo PPX Kering LOR L Oreal MOH LVMH LIN Linde DAI Mercedes-Benz MUV2 Munich Re NESN Nestle NOVN Novartis PHI1 Philips REP Repsol ROG Roche SAP SAP SNW Sanofi BSD2 Santander SND Schneider SIE Siemens SGE Société Générale SREN Swiss Re TNE5 Telefonica TOTB TotalEnergies UBSN UBS CRI5 Unicredito SQU Vinci VO3 Volkswagen ANN Vonovia ZURN Zurich Insurance Group

  3. Cboe US Market Data

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). Cboe US Market Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/equities-market-data/cboe-us-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 the LSEG's Cboe US market data in various ways designed and tailored for your specific needs and workflows.

  4. Options Price Reporting Authority

    • lseg.com
    Updated Feb 18, 2025
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    LSEG (2025). Options Price Reporting Authority [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/options-data/options-price-reporting-authority
    Explore at:
    csv,delimited,gzip,html,json,pcap,pdf,parquet,python,sql,string format,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Feb 18, 2025
    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

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

  5. 34-year Daily Stock Data (1990-2024)

    • kaggle.com
    Updated Dec 10, 2024
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    Shivesh Prakash (2024). 34-year Daily Stock Data (1990-2024) [Dataset]. https://www.kaggle.com/datasets/shiveshprakash/34-year-daily-stock-data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 10, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Shivesh Prakash
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset Description: 34-year Daily Stock Data (1990-2024)

    Context and Inspiration

    This dataset captures historical financial market data and macroeconomic indicators spanning over three decades, from 1990 onwards. It is designed for financial analysis, time series forecasting, and exploring relationships between market volatility, stock indices, and macroeconomic factors. This dataset is particularly relevant for researchers, data scientists, and enthusiasts interested in studying: - Volatility forecasting (VIX) - Stock market trends (S&P 500, DJIA, HSI) - Macroeconomic influences on markets (joblessness, interest rates, etc.) - The effect of geopolitical and economic uncertainty (EPU, GPRD)

    Sources

    The data has been aggregated from a mix of historical financial records and publicly available macroeconomic datasets: - VIX (Volatility Index): Chicago Board Options Exchange (CBOE). - Stock Indices (S&P 500, DJIA, HSI): Yahoo Finance and historical financial databases. - Volume Data: Extracted from official exchange reports. - Macroeconomic Indicators: Bureau of Economic Analysis (BEA), Federal Reserve, and other public records. - Uncertainty Metrics (EPU, GPRD): Economic Policy Uncertainty Index and Global Policy Uncertainty Database.

    Columns

    1. dt: Date of observation in YYYY-MM-DD format.
    2. vix: VIX (Volatility Index), a measure of expected market volatility.
    3. sp500: S&P 500 index value, a benchmark of the U.S. stock market.
    4. sp500_volume: Daily trading volume for the S&P 500.
    5. djia: Dow Jones Industrial Average (DJIA), another key U.S. market index.
    6. djia_volume: Daily trading volume for the DJIA.
    7. hsi: Hang Seng Index, representing the Hong Kong stock market.
    8. ads: Aruoba-Diebold-Scotti (ADS) Business Conditions Index, reflecting U.S. economic activity.
    9. us3m: U.S. Treasury 3-month bond yield, a short-term interest rate proxy.
    10. joblessness: U.S. unemployment rate, reported as quartiles (1 represents lowest quartile and so on).
    11. epu: Economic Policy Uncertainty Index, quantifying policy-related economic uncertainty.
    12. GPRD: Geopolitical Risk Index (Daily), measuring geopolitical risk levels.
    13. prev_day: Previous day’s S&P 500 closing value, added for lag-based time series analysis.

    Key Features

    • Cross-Market Analysis: Compare U.S. markets (S&P 500, DJIA) with international benchmarks like HSI.
    • Macroeconomic Insights: Assess how external factors like joblessness, interest rates, and economic uncertainty affect markets.
    • Temporal Scope: Longitudinal data facilitates trend analysis and machine learning model training.

    Potential Use Cases

    • Forecasting market indices using machine learning or statistical models.
    • Building volatility trading strategies with VIX Futures.
    • Economic research on relationships between policy uncertainty and market behavior.
    • Educational material for financial data visualization and analysis tutorials.

    Feel free to use this dataset for academic, research, or personal projects.

  6. Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Dec 15, 2024
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    Technavio (2024). Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (Germany, Switzerland, UK), Middle East and Africa (UAE), APAC (China, India, Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/foreign-exchange-market-industry-analysis
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States, United Kingdom, Canada, Global
    Description

    Snapshot img

    Foreign Exchange Market Size 2025-2029

    The foreign exchange market size is forecast to increase by USD 582 billion, at a CAGR of 10.6% between 2024 and 2029.

    The Foreign Exchange Market is segmented by type (reporting dealers, financial institutions, non-financial customers), trade finance instruments (currency swaps, outright forward and FX swaps, FX options), trading platforms (electronic trading, over-the-counter (OTC), mobile trading), and geography (North America: US, Canada; Europe: Germany, Switzerland, UK; Middle East and Africa: UAE; APAC: China, India, Japan; South America: Brazil; Rest of World). This segmentation reflects the market's global dynamics, driven by institutional trading, increasing digital adoption through electronic trading and mobile trading, and regional economic activities, with APAC markets like India and China showing significant growth alongside traditional hubs like the US and UK.
    The market is experiencing significant shifts driven by the escalating trends of urbanization and digitalization. These forces are creating 24x7 trading opportunities, enabling greater accessibility and convenience for market participants. However, the market's dynamics are not without challenges. The uncertainty of future exchange rates poses a formidable obstacle for businesses and investors alike, necessitating robust risk management strategies. As urbanization continues to expand and digital technologies reshape the trading landscape, market players must adapt to remain competitive. One significant trend is the increasing use of money transfer agencies, venture capital investments, and mutual funds in foreign exchange transactions. Companies seeking to capitalize on these opportunities must navigate the challenges effectively, ensuring they stay abreast of exchange rate fluctuations and implement agile strategies to mitigate risk.
    The ability to adapt and respond to these market shifts will be crucial for success in the evolving market.
    

    What will be the Size of the Foreign Exchange Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic and intricate realm of the market, entities such as algorithmic trading, order book, order management systems, and liquidity risk intertwine, shaping the ever-evolving market landscape. The market's continuous unfolding is characterized by the integration of various components, including sentiment analysis, Fibonacci retracement, mobile trading, and good-for-the-day orders. Market activities are influenced by factors like political stability, monetary policy, and market liquidity, which in turn impact economic growth and trade settlement. Technical analysis, with its focus on chart patterns and moving averages, plays a crucial role in informing trading decisions. The market's complexity is further amplified by the presence of entities like credit risk, counterparty risk, and operational risk.

    Central bank intervention, order execution, clearing and settlement, and trade confirmation are essential components of the market's infrastructure, ensuring a seamless exchange of currencies. Geopolitical risk, currency correlation, and inflation rates contribute to currency volatility, necessitating hedging strategies and risk management. Market risk, interest rate differentials, and commodity currencies influence trading strategies, while cross-border payments and brokerage services facilitate international trade. The ongoing evolution of the market is marked by the emergence of advanced trading platforms, automated trading, and real-time data feeds, enabling traders to make informed decisions in an increasingly interconnected and complex global economy.

    How is this Foreign Exchange Industry segmented?

    The foreign exchange 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.

    Type
    
      Reporting dealers
      Financial institutions
      Non-financial customers
    
    
    Trade Finance Instruments
    
      Currency swaps
      Outright forward and FX swaps
      FX options
    
    
    Trading Platforms
    
      Electronic Trading
      Over-the-Counter (OTC)
      Mobile Trading
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        Germany
        Switzerland
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Type Insights

    The reporting dealers segment is estimated to witness significant growth during the forecast period.

    The market is a dynamic and complex ecosystem where various entities interplay to manage currency risks and facilitate international trade. Reporting dealers, as key participants,

  7. F

    CBOE Volatility Index: VIX

    • fred.stlouisfed.org
    json
    Updated Aug 8, 2025
    + more versions
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    (2025). CBOE Volatility Index: VIX [Dataset]. https://fred.stlouisfed.org/series/VIXCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 8, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CBOE Volatility Index: VIX (VIXCLS) from 1990-01-02 to 2025-08-07 about VIX, volatility, stock market, and USA.

  8. Crypto Spot Market Data: Real-Time Trade Data, OHLCV, Orderbook and Quotes |...

    • datarade.ai
    .json, .csv
    Updated Oct 20, 2024
    + more versions
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    CoinAPI (2024). Crypto Spot Market Data: Real-Time Trade Data, OHLCV, Orderbook and Quotes | Crypto Trading Activity [Dataset]. https://datarade.ai/data-products/coinapi-crypto-spot-data-global-spot-markets-trades-oh-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Oct 20, 2024
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Czech Republic, Nigeria, French Polynesia, South Georgia and the South Sandwich Islands, Palestine, Martinique, Romania, Saint Helena, Saint Pierre and Miquelon, Jamaica
    Description

    CoinAPI captures the full spectrum of crypto trading activity – from standard spot markets where assets change hands directly to complex derivatives instruments including futures, perpetuals, and options contracts that drive price discovery.

    Our spot market coverage delivers exactly what professional traders expect: real-time trade feeds that capture every transaction, OHLCV candles for pattern recognition, up-to-the-moment quotes reflecting current market sentiment, and deep order book visibility showing true market liquidity. This complete picture helps institutions execute with confidence in fast-moving markets.

    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: - 99,9% 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 serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. We deliver reliable, accurate data that helps our clients make informed decisions in the fast-moving cryptocurrency markets. Our team of experts works tirelessly to ensure you have the market intelligence you need, when you need it – because in this industry, timing is everything.

  9. Crypto OHLCV & Trade Data | Real-Time & Historical Candlesticks from 350+...

    • datarade.ai
    .json, .csv
    + more versions
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    CoinAPI, Crypto OHLCV & Trade Data | Real-Time & Historical Candlesticks from 350+ exchanges [Dataset]. https://datarade.ai/data-products/coinapi-crypto-ohlcv-crypto-candlestick-data-multiple-ti-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    China, Serbia, Wallis and Futuna, Haiti, El Salvador, Saint Barthélemy, Bhutan, Tuvalu, Palestine, Mali
    Description

    CoinAPI's crypto OHLCV and trade data give you the complete picture of market activity across more than 350 exchanges worldwide. Our candlestick data covers everything from 1-second intervals for scalping to monthly timeframes for trend analysis, ensuring you have the right level of detail for your trading approach.

    Each candlestick provides the essential price information traders rely on - open, high, low, and close prices - along with corresponding volume data that shows the market strength behind each move. This combination of price action and trading volume creates the foundation for effective technical analysis and trading decisions.

    Getting this data is straightforward - use our WebSocket streams for real-time market monitoring when every second counts, or access historical candlesticks through our REST API when you're conducting deeper market research or backtesting strategies. We maintain comprehensive historical records, giving you the ability to analyze patterns across different market cycles.

    Why work with us?

    Market Coverage & Data Types: - Full Cryptocurrency Data - 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

    Whether you're building algorithmic trading systems, conducting research, or creating visualization tools, our real-time and historical candlesticks from exchanges worldwide provide the reliable market data you need

  10. Gluten-Free Food Market Analysis US - Size and Forecast 2024-2028

    • technavio.com
    pdf
    Updated Aug 19, 2024
    + more versions
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    Technavio (2024). Gluten-Free Food Market Analysis US - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/us-gluten-free-food-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Aug 19, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2024 - 2028
    Description

    Snapshot img

    US Gluten-Free Food Market Size 2024-2028

    The US gluten-free food market size is forecast to increase by USD 1.43 billion at a CAGR of 10.87% between 2023 and 2028.

    The market is witnessing significant growth due to increasing consumer preference for healthier food options. A key trend driving market growth is the expanding demand for bakery products. Moreover, wider distribution channels for gluten-free foods are contributing to market expansion. Online shopping and e-commerce platforms have made it easier for consumers to access these products, contributing to the market's growth. However, the high price point of gluten-free food products poses a challenge to market growth. Consumers are looking for affordable options while maintaining their gluten-free diet. Adherence to stringent labeling regulations and innovation in product offerings is essential for market success. The market analysis report provides a comprehensive study of these factors and more, offering insights into the future growth prospects of the gluten-free food market In the US.
    

    What will be the size of the US Gluten-Free Food Market during the forecast period?

    Request Free Sample

    The market continues to experience strong growth due to the rising prevalence of celiac disease, food allergies, and other health disorders such as chronic pulmonary disease, metabolic syndrome, heart disease, diabetes, and obesity. Consumers seeking healthier options and improved nutritional functioning, as well as those with emotional well-being and energy needs, are increasingly turning to gluten-free foods.
    
    
    
    This trend is particularly evident In the ready-to-eat foods segment, which includes gluten-free bakery products, snacks, and organic baked goods. The market's expansion is driven by the growing awareness of the health benefits associated with gluten-free diets, including improved digestion and weight loss. As a result, the market for gluten-free products is expected to remain a significant contributor to the overall health and wellness industry.
    

    How is this market segmented and which is the largest segment?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Product
    
      Bakery
      Snacks
      Others
    
    
    Distribution Channel
    
      Supermarkets and hypermarkets
      Convenience stores
      Specialty stores
      Online retails
      Drug stores
    
    
    Geography
    
      US
    

    By Product Insights

    The bakery segment is estimated to witness significant growth during the forecast period.
    

    The market has experienced significant growth due to increasing health consciousness and the prevalence of chronic health issues such as celiac disease and food allergies. Among various categories, gluten-free bakery products have been leading the market, driven by the demand for gluten-free alternatives to traditional baked goods. These products include bread, biscuits, cookies, and confectionery items like cakes and pastries. Consumers opt for gluten-free bakery and confectionery food products for medical necessity due to celiac disease or as a preventive measure for gluten sensitivity. Additionally, the market for gluten-free products extends to ready-to-eat meals, snacks, infant formulas, dairy products, and pulses.

    Moreover, the food processing sector is responding to this trend by introducing gluten-free options in various categories. Health-conscious consumers also prefer gluten-free products as part of diets like Paleo, Keto, and low-fat, or for managing health disorders such as heart disease, diabetes, chronic pulmonary disease, and metabolic syndrome. The market for gluten-free products also includes functional foods, free-from food, and clean-label convenience foods. The demand for gluten-free alternatives offers numerous health advantages, including improved digestion, increased energy, and weight loss. Gluten-free snacks are also popular due to their convenience and nutritional value, making them a preferred choice for healthful snacking options.

    Get a glance at the market share of various segments Request Free Sample

    The Bakery segment was valued at USD 787.70 million in 2018 and showed a gradual increase during the forecast period.

    Market Dynamics

    Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    What are the key market drivers leading to the rise in adoption of US Gluten-Free Food Market?

    Growing demand for gluten-free bakery products is the key driver of the market.

    The gluten-free food market In the US experienced significant growth in 2023, with the bakery products segment leading the way. This segment encompasses a wide range of offerings, incl
    
  11. Largest stock exchange operators worldwide 2025, by market capitalization

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Largest stock exchange operators worldwide 2025, by market capitalization [Dataset]. https://www.statista.com/statistics/270126/largest-stock-exchange-operators-by-market-capitalization-of-listed-companies/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2025
    Area covered
    Worldwide
    Description

    The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of June 2025. The following three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

  12. d

    Comprehensive Daily Data on 108K Public Companies Worldwide

    • datarade.ai
    Updated Jun 18, 1982
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    Global Database (1982). Comprehensive Daily Data on 108K Public Companies Worldwide [Dataset]. https://datarade.ai/data-products/comprehensive-daily-data-on-108k-public-companies-worldwide-global-database
    Explore at:
    .json, .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jun 18, 1982
    Dataset authored and provided by
    Global Database
    Area covered
    Cook Islands, Czech Republic, Zimbabwe, Samoa, Kiribati, Saint Vincent and the Grenadines, Papua New Guinea, Faroe Islands, Djibouti, Fiji
    Description

    Our dynamic data offering is designed to provide a comprehensive view of over 108,000 publicly listed companies across the globe. This service is an essential tool for financial analysts, investors, corporate strategists, and market researchers, offering versatile data delivery options.

    Key Features:

    Rich Company Fundamentals: Access detailed profiles with financials, management information, operational metrics, and strategic insights. Historical Data Depth: Utilize our extensive historical data for trend analysis and benchmarking. Flexible Delivery Options: Bulk Data Access: Ideal for high-volume needs, get comprehensive data in bulk. Daily Updates: Stay current with daily data refreshes for timely and relevant insights. API Integration: Seamlessly integrate our data into your systems with our API, ensuring efficient data retrieval and analysis. Global News Integration: Get the latest news and updates, providing context and insights into market movements and company-specific events. Intuitive User Interface: Navigate our platform with ease for efficient data retrieval. Customizable Alerts and Reports: Stay informed with tailored alerts and custom reports. Expert Support: Rely on our dedicated support team for assistance and guidance. Benefits:

    Enhance investment strategies with diverse and up-to-date data. Conduct in-depth market research and competitive analysis. Facilitate strategic planning and risk assessment with varied data access methods. Support academic research with a reliable data source. Ideal for:

    Investment and Financial Firms Market Analysts and Economists Corporate Strategy and Business Development Teams Academic Researchers in Finance and Economics

  13. F

    CBOE S&P 500 3-Month Volatility Index

    • fred.stlouisfed.org
    json
    Updated Aug 11, 2025
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    (2025). CBOE S&P 500 3-Month Volatility Index [Dataset]. https://fred.stlouisfed.org/series/VXVCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CBOE S&P 500 3-Month Volatility Index (VXVCLS) from 2007-12-04 to 2025-08-08 about VIX, volatility, stock market, 3-month, and USA.

  14. M

    Data Center Liquid Immersion Cooling Market With Tariff Impact Analysis

    • scoop.market.us
    Updated Apr 17, 2025
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    Market.us Scoop (2025). Data Center Liquid Immersion Cooling Market With Tariff Impact Analysis [Dataset]. https://scoop.market.us/data-center-liquid-immersion-cooling-market-news/
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Market.us Scoop
    License

    https://scoop.market.us/privacy-policyhttps://scoop.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    US Tariff Impact on Market

    U.S. tariffs on imported components, such as semiconductor chips and cooling systems, have led to increased production costs for data center liquid immersion cooling systems. These tariffs, primarily targeting Asian countries like China, have caused significant price hikes for materials essential for the development of immersion cooling solutions.

    As a result, U.S. manufacturers face higher costs, which may be passed on to end-users, especially in hyperscale and large enterprise applications where cooling technology plays a critical role in data center efficiency. While the tariffs affect around 15-20% of the market, manufacturers are exploring domestic production options and diversifying supply chains to mitigate cost increases.

    The tariff impact is most significant in the cooling solution segment, where components like pumps, sensors, and heat exchangers are heavily reliant on imported materials. Despite these challenges, the demand for efficient cooling solutions in data centers continues to drive growth in the market.

    http://scoop.market.us/wp-content/uploads/2025/04/US-Tariff-Impact-Analysis-in-2025-840x473.png" alt="US Tariff Impact Analysis in 2025" class="wp-image-53722">

    US Tariff Impact Percentage for Impacted Sector

    The U.S. tariffs have impacted approximately 15-20% of the data center liquid immersion cooling market, particularly affecting the cooling solutions and hyperscale data center segments, which rely heavily on imported components.

    Sources for US Tariff Impact Data

    • Impact on Data Center Cooling Solutions: U.S. tariffs on semiconductor and cooling system components increase production costs.
    • Price Increases Due to Tariffs: U.S. companies face price hikes for cooling components.
    • Supply Chain Shifts: U.S. manufacturers adjust supply chains to counter tariff costs.

    ➤➤➤ Get More Detailed Insights about US Tariff Impact @ https://market.us/report/data-center-liquid-immersion-cooling-market/free-sample/

    Economic Impact

    • U.S. tariffs on imported components raise production costs for immersion cooling systems.
    • Increased costs may slow adoption in price-sensitive industries, particularly in small and medium-sized enterprises.
    • Despite these challenges, continued demand for efficient data center cooling solutions supports market growth.

    Geographical Impact

    • North America, especially the U.S., faces increased prices for immersion cooling systems due to tariffs, impacting affordability.
    • Asia-Pacific remains largely unaffected, with low-cost manufacturing capabilities for key components.
    • Europe experiences moderate tariff impacts but benefits from a diversified supply chain and reduced reliance on tariff-affected components.

    <!-- /wp:l...

  15. F

    CBOE NASDAQ 100 Volatility Index

    • fred.stlouisfed.org
    json
    Updated Aug 8, 2025
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    (2025). CBOE NASDAQ 100 Volatility Index [Dataset]. https://fred.stlouisfed.org/series/VXNCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 8, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CBOE NASDAQ 100 Volatility Index (VXNCLS) from 2001-02-02 to 2025-08-07 about VIX, volatility, stock market, and USA.

  16. Sugar-Free Food And Beverage Market Analysis North America, Europe, APAC,...

    • technavio.com
    Updated Feb 21, 2025
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    Technavio (2025). Sugar-Free Food And Beverage Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, China, Germany, Canada, Italy, UK, France, India, Brazil, Australia - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/sugar-free-food-and-beverage-market-industry-analysis
    Explore at:
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, Canada
    Description

    Snapshot img

    Sugar-Free Food And Beverage Market Size 2025-2029

    The sugar-free food and beverage market size is forecast to increase by USD 58.9 billion at a CAGR of 11.3% between 2024 and 2029.

    The market is witnessing significant growth due to several key trends. One of the major factors driving market growth is the increasing influence of online retailing. Consumers are increasingly preferring to purchase sugar-free products online due to the convenience and wide product selection. Another trend is the increasing prominence of private-label brands, which offer consumers affordable and high-quality sugar-free options. Sugar-free concepts extend to biscuits, cookies, muffins, and various types of beverages like whey protein drinks in flavors such as vanilla, chocolate, mint chip, and strawberry. However, the market faces challenges such as the lower acceptance of sugar-free products due to ambiguity surrounding the safety profile of artificial sweeteners. Producers must address consumer concerns by providing clear labeling and transparent information about the ingredients used in their products. Overall, the market is expected to continue its growth trajectory, driven by these trends and challenges.
    

    What will be the Size of the Sugar-Free Food And Beverage Market During the Forecast Period?

    Request Free Sample

    The market encompasses a wide range of products designed to cater to consumers seeking to reduce their intake of added sugars. Fueled by rising health consciousness and the prevalence of disorders such as diabetes and obesity, this market has experienced significant growth. Glycation, a process that damages proteins and fats In the body due to sugar intake, has heightened awareness of the negative effects of refined sugar. As a result, demand for low-calorie beverages, sugar substitutes, and sugar-free alternatives has increased. Veganism, gluten-free, raw, refined sugar-free, organic, and other dietary trends have also influenced the market's direction. Consumers increasingly prefer sugar-free and zero-sugar options, prioritizing taste and calorie reduction over traditional sugar-laden products.
    The market's size is substantial, with low-calorie foods and beverages accounting for a notable share. Sugar taxes and regulations aimed at limiting added sugars have further boosted market growth. The industry continues to innovate, offering a diverse range of sugar-free products that cater to various dietary preferences and needs. The market is poised for continued expansion as consumers increasingly seek healthier alternatives to traditional sugary options.
    

    How is this Sugar-Free Food And Beverage Industry segmented and which is the largest segment?

    The sugar-free food and beverage 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.

    End-user
    
      Supermarkets or hypermarkets
      Convenience stores
      Online stores
      Specialty stores
    
    
    Product
    
      Sugar-free beverages
      Sugar-free dairy products
      Sugar-free confectionery
      Sugar-free bakery
      Sugar-free ice-creams
    
    
    Product Type
    
      Artificial sweeteners
      Natural sweeteners
      Sugar alcohols
    
    
    Packaging
    
      Bottles and cans
      Pouches and sachets
      Boxes and cartons
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
        France
        Italy
    
    
      APAC
    
        China
        India
    
    
      South America
    
        Brazil
    
    
      Middle East and Africa
    

    By End-user Insights

    The supermarkets or hypermarkets segment is estimated to witness significant growth during the forecast period.
    

    Supermarkets and hypermarkets serve as the primary distribution channels for sugar-free food and beverages due to their extensive product offerings and competitive pricing. Consumers are drawn to these retail outlets for their convenient one-stop shopping experience, enhanced by discounts and attractive shelf displays. Supermarkets' high product volumes grant them significant buying power, enabling them to price sugar-free items competitively, often at discounted rates. Sugar-free alternatives cater to various health concerns, including diabetes, obesity, irritable bowel disease, and Crohn's disease. These products encompass low-calorie beverages, sugar substitutes, vegan, gluten-free, raw, refined sugar-free, organic, non-GMO, oil-free, and low-carb options.

    Get a glance at the Sugar-Free Food And Beverage Industry report of share of various segments Request Free Sample

    The supermarkets or hypermarkets segment was valued at USD 39.90 billion in 2019 and showed a gradual increase during the forecast period.

    Regional Analysis

    North America is estimated to contribute 40% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trend

  17. D

    Data Center Cooling Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Apr 26, 2025
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    Archive Market Research (2025). Data Center Cooling Report [Dataset]. https://www.archivemarketresearch.com/reports/data-center-cooling-363875
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 26, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The data center cooling market is experiencing robust growth, projected to reach a market size of $8,891.1 million in 2025, exhibiting a compound annual growth rate (CAGR) of 8.1% from 2019 to 2033. This expansion is driven by several key factors. The increasing adoption of cloud computing and big data analytics necessitates high-density server deployments, leading to significant heat generation requiring advanced cooling solutions. Furthermore, the growing demand for higher uptime and reliability in data centers fuels the adoption of energy-efficient and resilient cooling technologies. Stringent regulations aimed at reducing carbon footprint are also pushing the market toward sustainable and eco-friendly cooling options. The market segmentation reveals a diverse landscape, with significant contributions from mid-sized and large data centers, alongside a strong demand for consulting, installation, deployment, and support and maintenance services. Leading players like Schneider Electric, Vertiv, and Rittal are driving innovation and capturing substantial market share through their comprehensive product portfolios and global reach. The geographical distribution of the market demonstrates strong growth across North America and Europe, driven by high data center density and technological advancements. However, the Asia-Pacific region is anticipated to experience accelerated growth in the coming years, fueled by rapid digitalization and increasing investments in infrastructure. Market restraints include the high initial investment cost associated with deploying advanced cooling systems and the need for skilled technicians for installation and maintenance. However, these challenges are being offset by the long-term benefits of improved energy efficiency, reduced operational costs, and enhanced data center reliability. The market’s future growth trajectory will depend heavily on technological innovation, adoption of sustainable cooling practices, and evolving regulatory landscapes. Ongoing advancements in liquid cooling, free-air cooling, and AI-driven optimization techniques are expected to significantly shape the market dynamics in the forecast period.

  18. Securities Exchanges Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Jul 9, 2025
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    Technavio (2025). Securities Exchanges Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Switzerland, and UK), APAC (China, Hong Kong, India, and Japan), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/securities-exchanges-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 9, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2025 - 2029
    Area covered
    United States
    Description

    Snapshot img

    Securities Exchanges Market Size 2025-2029

    The securities exchanges market size is forecast to increase by USD 56.67 billion at a CAGR of 12.5% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing demand for investment opportunities. This trend is fueled by a global economic recovery and a rising interest in various asset classes, particularly in emerging markets. Another key driver is the increasing focus on sustainable and environmental, social, and governance (ESG) investing. This shift reflects a growing awareness of the importance of long-term value creation and the role of exchanges in facilitating socially responsible investments. This trend is driven by the expanding securities business units, including stocks, bonds, mutual funds, and other securities, which cater to the needs of investment firms and individual investors. However, the market is not without challenges. Increasing market volatility poses a significant risk for exchanges and their clients.
    Furthermore, the rapid digitization of trading and the emergence of alternative trading platforms are disrupting traditional exchange business models. To navigate these challenges, exchanges must adapt by investing in technology, expanding their product offerings, and building strong regulatory frameworks. Data analytics and big data are also crucial tools for e-brokerage firms to gain insights and make informed decisions. By doing so, they can capitalize on the market's growth potential and maintain their competitive edge. Geopolitical tensions, economic instability, and regulatory changes can all contribute to market fluctuations and uncertainty.
    

    What will be the Size of the Securities Exchanges Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic market, financial instrument classification plays a crucial role in facilitating efficient trade matching through advanced execution quality metrics and order book liquidity. Quantitative trading models leverage options clearing corporation data to optimize portfolio holdings, while trade matching engines utilize high-speed data storage solutions and portfolio optimization algorithms to minimize latency and enhance market depth indicators. Data center infrastructure and network bandwidth capacity are essential components for supporting complex algorithmic trading strategies, including latency reduction and price volatility forecasting. Market impact measurement and risk assessment methodologies are integral to managing market impact and mitigating fraud, ensuring regulatory compliance through transaction reporting standards and regulatory compliance software.

    Exchange traded funds (ETFs) have gained popularity, necessitating robust quote dissemination systems and trade surveillance analytics. Server virtualization and cybersecurity threat mitigation strategies further strengthen the market's resilience, enabling seamless integration of data-driven quantitative models and sophisticated fraud detection algorithms. Additionally, users of online trading platforms can easily monitor the performance of their assets thanks to real-time stock data.

    How is this Securities Exchanges Industry segmented?

    The securities exchanges industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Service
    
      Market platforms
      Capital access platforms
      Others
    
    
    Trade Finance Instruments
    
      Equities
      Derivatives
      Bonds
      Exchange-traded funds
      Others
    
    
    Type
    
      Large-cap exchanges
      Mid-cap exchanges
      Small-cap exchanges
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Switzerland
        UK
    
    
      APAC
    
        China
        Hong Kong
        India
        Japan
    
    
      Rest of World (ROW)
    

    By Service Insights

    The Market platforms segment is estimated to witness significant growth during the forecast period. The market is characterized by advanced technologies and systems that enable efficient price discovery, manage settlement risk, and ensure regulatory compliance. Market platforms, which include trading platforms, order-matching systems, and market data dissemination, hold the largest share of the market. These platforms facilitate the buying and selling of securities, providing market liquidity and transparency. Real-time market surveillance and high-frequency trading infrastructure are crucial components, ensuring fair and orderly markets and enabling efficient trade execution. Financial modeling techniques and algorithmic trading platforms optimize trading strategies, while electronic communication networks and central counterparty cleari

  19. f

    Demographic data, including sex, age, country of residence, income,...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Sydney Banton; Andrew Baynham; Júlia G. Pezzali; Michael von Massow; Anna K. Shoveller (2023). Demographic data, including sex, age, country of residence, income, education and children living in the household from all respondents (n = 3, 298). [Dataset]. http://doi.org/10.1371/journal.pone.0250806.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sydney Banton; Andrew Baynham; Júlia G. Pezzali; Michael von Massow; Anna K. Shoveller
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Demographic data, including sex, age, country of residence, income, education and children living in the household from all respondents (n = 3, 298).

  20. Crypto Market Data CSV Export: Trades, Quotes & Order Book Access via S3

    • datarade.ai
    .json, .csv
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    CoinAPI, Crypto Market Data CSV Export: Trades, Quotes & Order Book Access via S3 [Dataset]. https://datarade.ai/data-products/coinapi-comprehensive-crypto-market-data-in-flat-files-tra-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Norfolk Island, Qatar, Solomon Islands, Montserrat, Kyrgyzstan, Liechtenstein, Northern Mariana Islands, Latvia, Iraq, Tanzania
    Description

    When you need to analyze crypto market history, batch processing often beats streaming APIs. That's why we built the Flat Files S3 API - giving analysts and researchers direct access to structured historical cryptocurrency data without the integration complexity of traditional APIs.

    Pull comprehensive historical data across 800+ cryptocurrencies and their trading pairs, delivered in clean, ready-to-use CSV formats that drop straight into your analysis tools. Whether you're building backtest environments, training machine learning models, or running complex market studies, our flat file approach gives you the flexibility to work with massive datasets efficiently.

    Why work with us?

    Market Coverage & Data Types: - Comprehensive historical data since 2010 (for chosen assets) - Comprehensive order book snapshots and updates - Trade-by-trade data

    Technical Excellence: - 99,9% uptime guarantee - Standardized data format across exchanges - Flexible Integration - Detailed documentation - Scalable Architecture

    CoinAPI serves hundreds of institutions worldwide, from trading firms and hedge funds to research organizations and technology providers. Our S3 delivery method easily integrates with your existing workflows, offering familiar access patterns, reliable downloads, and straightforward automation for your data team. Our commitment to data quality and technical excellence, combined with accessible delivery options, makes us the trusted choice for institutions that demand both comprehensive historical data and real-time market intelligence

Share
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OptionMetrics (2023). IvyDB Signed Volume - Daily Options Trading Volume Data [Dataset]. https://optionmetrics.com/

IvyDB Signed Volume - Daily Options Trading Volume Data

IvyDB Signed Volume

Explore at:
94 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 15, 2023
Dataset authored and provided by
OptionMetrics
License

https://optionmetrics.com/contact/https://optionmetrics.com/contact/

Time period covered
Jan 1, 2016 - Present
Description

The IvyDB Signed Volume dataset, available as an add-on product for IvyDB US, contains daily data on detailed option trading volume. Trades in the IvyDB US dataset are assigned as either buyer-initiated or seller-initiated based on the trade price and the bid-ask quote at the time of the trade. The total assigned daily volume is aggregated and updated nightly.

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