100+ datasets found
  1. Global Stock Market Data | Equity Market Data | 80K stocks | 150 pricing...

    • datarade.ai
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    Cbonds, Global Stock Market Data | Equity Market Data | 80K stocks | 150 pricing sources | Intraday Data [Dataset]. https://datarade.ai/data-products/stocks-market-data-api-global-coverage-150-pricing-sources-cbonds
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset authored and provided by
    Cbondshttps://cbonds.com/
    Area covered
    Iceland, Bangladesh, Croatia, Monaco, Bulgaria, Latvia, Slovenia, France, Cambodia, Hong Kong
    Description

    Global Stock Market Data. More than 150 pricing sources, including biggest world stock exchanges. Pay only for the stock exchanges, parameters or regions you need. Flexible in customizing our product to the customer's needs. Free test access as long as you need for integration. Reliable sources: stock exchanges and market participants. The cost depends on the amount of required parameters and re-distribution right.

  2. 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.

  3. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 30, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  4. F

    US Equities Basic

    • finazon.io
    json
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    Finazon, US Equities Basic [Dataset]. https://finazon.io/dataset/us_stocks_essential
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    jsonAvailable download formats
    Dataset authored and provided by
    Finazon
    License

    https://finazon.io/assets/files/Finazon_Terms_of_Service.pdfhttps://finazon.io/assets/files/Finazon_Terms_of_Service.pdf

    Area covered
    United States
    Dataset funded by
    Finazon
    Description

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

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

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

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

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

  5. D

    Free Trading Platform Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 5, 2024
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    Dataintelo (2024). Free Trading Platform Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/free-trading-platform-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Oct 5, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Free Trading Platform Market Outlook



    The global free trading platform market size was valued at approximately USD 3.7 billion in 2023 and is projected to reach around USD 8.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.6% during the forecast period. The growth of the market is primarily driven by the increasing popularity of online trading among individual investors and the ease of access provided by these platforms.



    One of the significant growth factors in the free trading platform market is the widespread adoption of smartphones and high-speed internet, which has democratized access to trading platforms. The proliferation of smartphones has enabled a broader demographic to engage in trading activities, breaking down geographical and socioeconomic barriers. With enhanced connectivity and user-friendly interfaces, mobile-based trading platforms have become increasingly popular, allowing users to trade on-the-go, thereby boosting market growth.



    Another critical factor contributing to the growth of the free trading platform market is the increasing awareness and interest in financial markets among younger generations. Millennials and Generation Z are showing a growing interest in managing their finances and investing in various asset classes. Social media and educational resources have played a pivotal role in educating these demographics about investment opportunities, leading to a surge in demand for free trading platforms that offer easy access and minimal costs.



    The emergence of technologies such as artificial intelligence (AI) and machine learning (ML) has also been a significant driver for the market. These technologies enable trading platforms to offer advanced features such as algorithmic trading, personalized investment advice, and predictive analytics. AI and ML enhance the overall user experience by providing insightful data and automating complex trading strategies, making them accessible to novice investors and experienced traders alike.



    From a regional perspective, North America has been a dominant player in the free trading platform market due to its mature financial markets and high adoption rates of technology. The Asia Pacific region is also expected to witness substantial growth during the forecast period. This growth can be attributed to the rising disposable incomes, increasing internet penetration, and growing awareness about financial investments in countries like China and India. Europe and Latin America are also anticipated to contribute significantly to market growth, driven by regulatory changes and the increasing popularity of online trading platforms.



    Platform Type Analysis



    The free trading platform market is segmented by platform type into web-based, mobile-based, and desktop-based platforms. Web-based trading platforms remain popular due to their accessibility and ease of use. These platforms do not require any software installation and can be accessed from any device with an internet connection. They offer a range of tools and features that cater to both novice and experienced traders, such as real-time market data, charting tools, and educational resources.



    Mobile-based trading platforms have seen exponential growth in recent years, driven by the increasing penetration of smartphones and mobile internet. These platforms offer convenience and flexibility, allowing users to trade anytime and anywhere. With features like push notifications, real-time updates, and user-friendly interfaces, mobile-based platforms have become a preferred choice for many individual investors. Additionally, they often include advanced security features like biometric authentication to ensure the safety of users' investments.



    Desktop-based trading platforms are still widely used by professional and institutional investors who require advanced tools and functionalities. These platforms offer robust performance, extensive customization options, and the ability to handle large volumes of data. They are particularly suited for high-frequency trading and other complex strategies that require low latency and high processing power. Despite the rise of mobile and web-based platforms, desktop-based platforms continue to hold a significant share in the market due to their comprehensive feature set.



    The integration of new technologies such as AI, ML, and blockchain into these platforms is enhancing their capabilities and user experiences. AI and ML can provide predictive analytics, automate trading strategies, and offer personalized investment advice. Block

  6. LON:STG Stock: The Stock Market Bubble Is About to Burst (Forecast)

    • kappasignal.com
    Updated Oct 11, 2023
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    KappaSignal (2023). LON:STG Stock: The Stock Market Bubble Is About to Burst (Forecast) [Dataset]. https://www.kappasignal.com/2023/10/lonstg-stock-stock-market-bubble-is.html
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    Dataset updated
    Oct 11, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    LON:STG Stock: The Stock Market Bubble Is About to Burst

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  7. F

    Dow Jones Industrial Average

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    + more versions
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    (2025). Dow Jones Industrial Average [Dataset]. https://fred.stlouisfed.org/series/DJIA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-08-03 to 2025-08-01 about stock market, average, industry, and USA.

  8. Stock Market Data Europe ( End of Day Pricing dataset )

    • datarade.ai
    Updated Aug 24, 2023
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    Techsalerator (2023). Stock Market Data Europe ( End of Day Pricing dataset ) [Dataset]. https://datarade.ai/data-products/stock-market-data-europe-end-of-day-pricing-dataset-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Aug 24, 2023
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Italy, Finland, Slovenia, Lithuania, Switzerland, Croatia, Denmark, Andorra, Latvia, Belgium, Europe
    Description

    End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.

  9. I

    Global Free Trading Platform Market Investment Landscape 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Free Trading Platform Market Investment Landscape 2025-2032 [Dataset]. https://www.statsndata.org/report/free-trading-platform-market-95374
    Explore at:
    pdf, excelAvailable download formats
    Dataset updated
    Jun 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Free Trading Platform market has experienced significant growth in recent years, transforming the way individual investors approach trading and investment. With the advent of technology and the increasing accessibility of financial markets, free trading platforms have become essential tools for both novice and e

  10. Gluten Free Products: Global Market Data

    • bccresearch.com
    html, pdf, xlsx
    Updated Feb 2, 2021
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    BCC Research (2021). Gluten Free Products: Global Market Data [Dataset]. https://www.bccresearch.com/market-research/food-and-beverage/gluten-free-products-market.html
    Explore at:
    pdf, html, xlsxAvailable download formats
    Dataset updated
    Feb 2, 2021
    Dataset authored and provided by
    BCC Research
    License

    https://www.bccresearch.com/aboutus/terms-conditionshttps://www.bccresearch.com/aboutus/terms-conditions

    Description

    BCC Market Research Report for Gluten Free Products industry. Gluten Free Products market trends, with data from 2019-2020, estimates for 2021-2024, and projections of five-year CAGRs) through 2025.

  11. T

    Indonesia Stock Market (JCI) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 2, 2025
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    TRADING ECONOMICS (2025). Indonesia Stock Market (JCI) Data [Dataset]. https://tradingeconomics.com/indonesia/stock-market
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    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Aug 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Apr 6, 1990 - Aug 1, 2025
    Area covered
    Indonesia
    Description

    Indonesia's main stock market index, the JCI, rose to 7538 points on August 1, 2025, gaining 0.71% from the previous session. Over the past month, the index has climbed 9.54% and is up 3.14% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Indonesia. Indonesia Stock Market (JCI) - values, historical data, forecasts and news - updated on August of 2025.

  12. F

    NASDAQ Composite Index

    • fred.stlouisfed.org
    json
    Updated Jul 30, 2025
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    (2025). NASDAQ Composite Index [Dataset]. https://fred.stlouisfed.org/series/NASDAQCOM
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    License

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

    Description

    Graph and download economic data for NASDAQ Composite Index (NASDAQCOM) from 1971-02-05 to 2025-07-30 about NASDAQ, composite, stock market, indexes, and USA.

  13. T

    Nigeria Stock Market NSE Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Nigeria Stock Market NSE Data [Dataset]. https://tradingeconomics.com/nigeria/stock-market
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 18, 1996 - Aug 1, 2025
    Area covered
    Nigeria
    Description

    Nigeria's main stock market index, the NSE-All Share, rose to 141263 points on August 1, 2025, gaining 1.00% from the previous session. Over the past month, the index has climbed 17.39% and is up 44.52% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Nigeria. Nigeria Stock Market NSE - values, historical data, forecasts and news - updated on August of 2025.

  14. Jordan Equity Market Index

    • ceicdata.com
    • dr.ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Jordan Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/jordan/equity-market-index
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Jordan
    Variables measured
    Securities Exchange Index
    Description

    Key information about Jordan General Free Float Weighted

    • Jordan General Free Float Weighted closed at 2,592.5 points in Feb 2025, compared with 2,615.8 points at the previous month end
    • Jordan Equity Market Index: Month End: General Free Float Weighted data is updated monthly, available from Dec 1999 to Feb 2025, with an average number of 2,123.3 points
    • The data reached an all-time high of 4,772.2 points in Jun 2008 and a record low of 799.8 points in Aug 2000




    Further information about Jordan General Free Float Weighted

    • In the latest reports, ASE recorded a daily P/E ratio of 8.5 in Mar 2025

  15. d

    Ecommerce Data - Product data, Seller data, Market data, Pricing data|...

    • datarade.ai
    Updated Jan 29, 2024
    + more versions
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    APISCRAPY (2024). Ecommerce Data - Product data, Seller data, Market data, Pricing data| Scrape all publicly available eCommerce data| 50% Cost Saving | Free Sample [Dataset]. https://datarade.ai/data-products/apiscrapy-mobile-app-data-api-scraping-service-app-intel-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 29, 2024
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Switzerland, China, Åland Islands, Isle of Man, Bosnia and Herzegovina, United States of America, Norway, Ukraine, Malta, Spain
    Description

    Note:- Only publicly available data can be worked upon

    In today's ever-evolving Ecommerce landscape, success hinges on the ability to harness the power of data. APISCRAPY is your strategic ally, dedicated to providing a comprehensive solution for extracting critical Ecommerce data, including Ecommerce market data, Ecommerce product data, and Ecommerce datasets. With the Ecommerce arena being more competitive than ever, having a data-driven approach is no longer a luxury but a necessity.

    APISCRAPY's forte lies in its ability to unearth valuable Ecommerce market data. We recognize that understanding the market dynamics, trends, and fluctuations is essential for making informed decisions.

    APISCRAPY's AI-driven ecommerce data scraping service presents several advantages for individuals and businesses seeking comprehensive insights into the ecommerce market. Here are key benefits associated with their advanced data extraction technology:

    1. Ecommerce Product Data: APISCRAPY's AI-driven approach ensures the extraction of detailed Ecommerce Product Data, including product specifications, images, and pricing information. This comprehensive data is valuable for market analysis and strategic decision-making.

    2. Data Customization: APISCRAPY enables users to customize the data extraction process, ensuring that the extracted ecommerce data aligns precisely with their informational needs. This customization option adds versatility to the service.

    3. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can obtain relevant ecommerce data swiftly and consistently.

    4. Realtime Insights: Businesses can gain real-time insights into the dynamic Ecommerce Market by accessing rapidly extracted data. This real-time information is crucial for staying ahead of market trends and making timely adjustments to business strategies.

    5. Scalability: The technology behind APISCRAPY allows scalable extraction of ecommerce data from various sources, accommodating evolving data needs and handling increased volumes effortlessly.

    Beyond the broader market, a deeper dive into specific products can provide invaluable insights. APISCRAPY excels in collecting Ecommerce product data, enabling businesses to analyze product performance, pricing strategies, and customer reviews.

    To navigate the complexities of the Ecommerce world, you need access to robust datasets. APISCRAPY's commitment to providing comprehensive Ecommerce datasets ensures businesses have the raw materials required for effective decision-making.

    Our primary focus is on Amazon data, offering businesses a wealth of information to optimize their Amazon presence. By doing so, we empower our clients to refine their strategies, enhance their products, and make data-backed decisions.

    [Tags: Ecommerce data, Ecommerce Data Sample, Ecommerce Product Data, Ecommerce Datasets, Ecommerce market data, Ecommerce Market Datasets, Ecommerce Sales data, Ecommerce Data API, Amazon Ecommerce API, Ecommerce scraper, Ecommerce Web Scraping, Ecommerce Data Extraction, Ecommerce Crawler, Ecommerce data scraping, Amazon Data, Ecommerce web data]

  16. Dow Jones: monthly value 1920-1955

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Dow Jones: monthly value 1920-1955 [Dataset]. https://www.statista.com/statistics/1249670/monthly-change-value-dow-jones-depression/
    Explore at:
    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1920 - Dec 1955
    Area covered
    United States
    Description

    Throughout the 1920s, prices on the U.S. stock exchange rose exponentially, however, by the end of the decade, uncontrolled growth and a stock market propped up by speculation and borrowed money proved unsustainable, resulting in the Wall Street Crash of October 1929. This set a chain of events in motion that led to economic collapse - banks demanded repayment of debts, the property market crashed, and people stopped spending as unemployment rose. Within a year the country was in the midst of an economic depression, and the economy continued on a downward trend until late-1932.

    It was during this time where Franklin D. Roosevelt (FDR) was elected president, and he assumed office in March 1933 - through a series of economic reforms and New Deal policies, the economy began to recover. Stock prices fluctuated at more sustainable levels over the next decades, and developments were in line with overall economic development, rather than the uncontrolled growth seen in the 1920s. Overall, it took over 25 years for the Dow Jones value to reach its pre-Crash peak.

  17. U

    United States Mutual Funds: ICI: Assets: US: Tax Free Money Market Funds

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Mutual Funds: ICI: Assets: US: Tax Free Money Market Funds [Dataset]. https://www.ceicdata.com/en/united-states/mutual-funds-net-assets/mutual-funds-ici-assets-us-tax-free-money-market-funds
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Portfolio Investment
    Description

    United States Mutual Funds: ICI: Assets: US: Tax Free Money Market Funds data was reported at 131.300 USD bn in Sep 2018. This records an increase from the previous number of 130.800 USD bn for Aug 2018. United States Mutual Funds: ICI: Assets: US: Tax Free Money Market Funds data is updated monthly, averaging 265.500 USD bn from Jan 1996 (Median) to Sep 2018, with 273 observations. The data reached an all-time high of 505.800 USD bn in Aug 2008 and a record low of 127.200 USD bn in Sep 2017. United States Mutual Funds: ICI: Assets: US: Tax Free Money Market Funds data remains active status in CEIC and is reported by Investment Company Institute. The data is categorized under Global Database’s USA – Table US.Z027: Mutual Funds: Net Assets.

  18. Bosnia and Herzegovina Market Capitalisation: BLSE: Free Market

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Bosnia and Herzegovina Market Capitalisation: BLSE: Free Market [Dataset]. https://www.ceicdata.com/en/bosnia-and-herzegovina/banja-luca-stock-exchange-market-capitalization/market-capitalisation-blse-free-market
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Bosnia and Herzegovina
    Variables measured
    Market Capitalisation
    Description

    Bosnia and Herzegovina Market Capitalisation: BLSE: Free Market data was reported at 2,014,680,417.983 BAM in Apr 2025. This records an increase from the previous number of 2,013,235,188.163 BAM for Mar 2025. Bosnia and Herzegovina Market Capitalisation: BLSE: Free Market data is updated monthly, averaging 1,643,010,299.645 BAM from Jan 2003 (Median) to Apr 2025, with 268 observations. The data reached an all-time high of 8,053,123,612.000 BAM in Apr 2007 and a record low of 86,815,929.000 BAM in Jan 2003. Bosnia and Herzegovina Market Capitalisation: BLSE: Free Market data remains active status in CEIC and is reported by Banja Luca Stock Exchange. The data is categorized under Global Database’s Bosnia and Herzegovina – Table BA.Z006: Banja Luca Stock Exchange: Market Capitalization.

  19. Global Bond Pricing Data | Fixed Income Data | Delayed Market Data |420...

    • datarade.ai
    Updated Aug 8, 2022
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    Cbonds (2022). Global Bond Pricing Data | Fixed Income Data | Delayed Market Data |420 pricing sources [Dataset]. https://datarade.ai/data-products/market-data-api-global-coverage-350-pricing-sources-cbonds
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Aug 8, 2022
    Dataset authored and provided by
    Cbondshttps://cbonds.com/
    Area covered
    Netherlands, Saint Helena, United Kingdom, Curaçao, Maldives, Guinea-Bissau, Djibouti, Paraguay, Virgin Islands (British), Myanmar
    Description

    Global Fixed Income Pricing Data. More than 420 pricing sources, including Stock Exchanges and OTC market. Pay only for the stock exchanges, parameters or regions you need. Flexible in customizing our product to the customer's needs. Free test access as long as you need for integration. Reliable sources: stock exchanges and market participants. The cost depends on the amount of required parameters and re-distribution right.

  20. Duty Free and Travel Retail Market Report | Industry Analysis, Size &...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jun 18, 2025
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    Mordor Intelligence (2025). Duty Free and Travel Retail Market Report | Industry Analysis, Size & Forecast Overview 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/duty-free-and-travel-retail-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    1 INTRODUCTION 1.1 Study Assumptions and Market Definition 1.2 Scope of the Study

       2 RESEARCH METHODOLOGY
    
       3 EXECUTIVE SUMMARY
    
       4 MARKET DYNAMICS
       4.1 Market Drivers
       4.1.1 Rise in Duty-Free Retailing Stores with Technology Integration will accelerate market growth
       4.1.2 Rise in Foreign Tourists to Boost the Market Growth
       4.2 Market Restraints
       4.2.1 Convenience and Variety of Online Shopping as more and more Customers Purchase Online
       4.2.2 Usage of Unsustainable Goods for Storage Affecting Market Growth
       4.3 Market Opportunities
       4.3.1 Increased Digitalization To Boost the Demand for Duty Free Products
       4.4 Porter's Five Forces Analysis
       4.4.1 Bargaining Power of Suppliers
       4.4.2 Bargaining Power of Buyers/Consumers
       4.4.3 Threat of New Entrants
       4.4.4 Threat of Substitute Products
       4.4.5 Intensity of Competitive Rivalry
       4.5 Impact of COVID-19 on the market
    
       5 MARKET SEGMENTATION
       5.1 By Product Type
       5.1.1 Fashion and Accessories
       5.1.2 Jewellery and Watches
       5.1.3 Wine and Spirits
       5.1.4 Food and Confectionery
       5.1.5 Fragrances and Cosmetics
       5.1.6 Tobacco
       5.1.7 Other Product Types
       5.2 By Distribution Channel
       5.2.1 Airports
       5.2.2 Airlines
       5.2.3 Ferries
       5.2.4 Other Distribution Channels
       5.3 By Geography
       5.3.1 North America
       5.3.2 South America
       5.3.3 Europe
       5.3.4 Asia-Pacific
       5.3.5 Middle East & Africa
    
       6 COMPETITIVE LANDSCAPE
       6.1 Market Concentration Overview
       6.2 Company Profiles
       6.2.1 Dufry
       6.2.2 Lotte Duty Free
       6.2.3 Lagardere Travel Retail
       6.2.4 DFS Group
       6.2.5 The Shilla Duty Free
       6.2.6 King Power International Group
       6.2.7 China Duty Free Group
       6.2.8 Dubai Duty Free
       6.2.9 Duty Free Americas
       6.2.10 Sinsegae Duty Free
       6.2.11 WH Smith*
    
       7 FUTURE MARKET TRENDS
    
       8 DISCLAIMER AND ABOUT US
    
       The Global Duty Free & Travel Retail Market Report is segmented by product type and distribution channel, offering a comprehensive industry analysis. The market is a significant revenue generator for aviation, tourism, and other travel-related industries. Airports, in particular, derive a considerable portion of their income from duty-free and travel retailing. Despite challenges such as trade tensions and protectionism between countries, the market is seeing an increased demand for duty-free alcohol, spurred by diversifying consumer buying habits and rising spending among the middle-class population.<br><br>The market's growth is fueled by the rapidly expanding international tourism market and the increasing number of new air routes in Asian countries. However, global currency fluctuations could potentially hamper product demand. The market is segmented by type, with perfumes expected to dominate the global duty-free retail market share. The rising popularity of premium beauty products is also fueling demand in the cosmetics space. In terms of sales channels, airports dominate product sales worldwide.<br><br>The Asia Pacific market is anticipated to witness significant growth over the forecast period, with Europe and North America also expected to see growth. The South America and Middle East and Africa markets are likely to experience an upward trend due to rising consumer demand for premium/luxury perfumes. Duty-Free & Travel Retail market share, size, and revenue growth rate statistics provide a comprehensive market overview, including market forecast and market trends. A sample of this industry report is available as a free report PDF download.<br><br>The industry outlook remains positive, with market leaders driving the market growth. Market segmentation by product type and distribution channel offers detailed market data. The market value is projected to rise, supported by industry statistics and market predictions. Research companies provide valuable industry information and industry research, contributing to market review and market analysis. The report example highlights the importance of understanding market dynamics to capitalize on growth opportunities.
    
       The Global Duty Free & Travel Retail Report Covers the Following Regions: NA, North America, North American, Northern America, Northern American, SA, South America, South American, EU, Europe, European, APAC, Asia-Pacific, Asian, MEA, Middle East and Africa, Middle Eastern and African, MENA, Middle East, Middle Eastern, Africa, African, Americas, American
    
Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Cbonds, Global Stock Market Data | Equity Market Data | 80K stocks | 150 pricing sources | Intraday Data [Dataset]. https://datarade.ai/data-products/stocks-market-data-api-global-coverage-150-pricing-sources-cbonds
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Global Stock Market Data | Equity Market Data | 80K stocks | 150 pricing sources | Intraday Data

Explore at:
.json, .xml, .csv, .xlsAvailable download formats
Dataset authored and provided by
Cbondshttps://cbonds.com/
Area covered
Iceland, Bangladesh, Croatia, Monaco, Bulgaria, Latvia, Slovenia, France, Cambodia, Hong Kong
Description

Global Stock Market Data. More than 150 pricing sources, including biggest world stock exchanges. Pay only for the stock exchanges, parameters or regions you need. Flexible in customizing our product to the customer's needs. Free test access as long as you need for integration. Reliable sources: stock exchanges and market participants. The cost depends on the amount of required parameters and re-distribution right.

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