100+ datasets found
  1. T

    United States Stock Market Index Data

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 14, 2025
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    TRADING ECONOMICS, United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 14, 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
    Jan 3, 1928 - Sep 14, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6586 points on September 14, 2025, gaining 0.03% from the previous session. Over the past month, the index has climbed 2.11% and is up 16.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on September of 2025.

  2. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Sep 12, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 12, 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.

  3. T

    United States Stock Market Index (US1000) - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jan 23, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States Stock Market Index (US1000) - Index Price | Live Quote | Historical Chart | Trading Economics [Dataset]. https://tradingeconomics.com/riy:ind
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jan 23, 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
    Jan 1, 2000 - Sep 14, 2025
    Area covered
    United States
    Description

    Prices for United States Stock Market Index (US1000) including live quotes, historical charts and news. United States Stock Market Index (US1000) was last updated by Trading Economics this September 14 of 2025.

  4. Countries with largest stock markets globally 2025

    • statista.com
    Updated Jun 18, 2025
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    Statista (2025). Countries with largest stock markets globally 2025 [Dataset]. https://www.statista.com/statistics/710680/global-stock-markets-by-country/
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

  5. o

    Finance, Stock, Currency / Forex, Crypto, ETF, and News Data

    • openwebninja.com
    json
    Updated Sep 18, 2024
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    OpenWeb Ninja (2024). Finance, Stock, Currency / Forex, Crypto, ETF, and News Data [Dataset]. https://www.openwebninja.com/api/real-time-finance-data
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 18, 2024
    Dataset authored and provided by
    OpenWeb Ninja
    Area covered
    Global Financial Markets
    Description

    This dataset provides comprehensive access to financial market data from Google Finance in real-time. Get detailed information on stocks, market quotes, trends, ETFs, international exchanges, forex, crypto, and related news. Perfect for financial applications, trading platforms, and market analysis tools. The dataset is delivered in a JSON format via REST API.

  6. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 1, 2024
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    TRADING ECONOMICS (2024). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Feb 1, 2024
    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
    Jan 5, 1965 - Sep 12, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, rose to 44768 points on September 12, 2025, gaining 0.89% from the previous session. Over the past month, the index has climbed 3.45% and is up 22.38% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on September of 2025.

  7. T

    Sweden Stock Market Index Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 25, 2024
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    TRADING ECONOMICS (2024). Sweden Stock Market Index Data [Dataset]. https://tradingeconomics.com/sweden/stock-market
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Apr 25, 2024
    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
    Sep 30, 1986 - Sep 12, 2025
    Area covered
    Sweden
    Description

    Sweden's main stock market index, the Stockholm, fell to 2635 points on September 12, 2025, losing 0.02% from the previous session. Over the past month, the index has climbed 0.86% and is up 4.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Sweden. Sweden Stock Market Index - values, historical data, forecasts and news - updated on September of 2025.

  8. Monthly development Dow Jones Industrial Average Index 2018-2025

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
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    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jun 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

  9. Stock market prediction

    • kaggle.com
    Updated Aug 17, 2023
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    Luis Andrés García (2023). Stock market prediction [Dataset]. https://www.kaggle.com/datasets/luisandresgarcia/stock-market-prediction
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 17, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Luis Andrés García
    License

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

    Description

    PURPOSE (possible uses)

    Non-professional investors often try to find an interesting stock among those in an index (such as the Standard and Poor's 500, Nasdaq, etc.). They need only one company, the best, and they don't want to fail (perform poorly). So, the metric to optimize is accuracy, described as:

    Accuracy = True Positives / (True Positives + False Positives)

    And the predictive model can be a binary classifier.

    The data covers the price and volume of shares of 31 NASDAQ companies in the year 2022.

    Context

    Every data set I found to predict a stock price (investing) aims to find the price for the next day, and only for that stock. But in practical terms, people like to find the best stocks to buy from an index and wait a few days hoping to get an increase in the price of this investment.

    Content

    Rows are grouped by companies and their age (newest to oldest) on a common date. The first column is the company. The following are the age, market, date (separated by year, month, day, hour, minute), share volume, various traditional prices of that share (close, open, high...), some price and volume statistics and target. The target is mainly defined as 1 when the closing price increases by at least 5% in 5 days (open market days). The target is 0 in any other case.

    Complex features and target were made by executing: https://www.kaggle.com/code/luisandresgarcia/202307

    Thanks

    Many thanks to everyone who participates in scientific papers and Kaggle notebooks related to financial investment.

  10. T

    United States Stock Market Index (US30) - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 7, 2017
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    TRADING ECONOMICS (2017). United States Stock Market Index (US30) - Index Price | Live Quote | Historical Chart | Trading Economics [Dataset]. https://tradingeconomics.com/indu:ind
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 7, 2017
    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
    Jan 1, 2000 - Sep 13, 2025
    Area covered
    United States
    Description

    Prices for United States Stock Market Index (US30) including live quotes, historical charts and news. United States Stock Market Index (US30) was last updated by Trading Economics this September 13 of 2025.

  11. S

    Stock Market API Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Apr 24, 2025
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    Market Research Forecast (2025). Stock Market API Report [Dataset]. https://www.marketresearchforecast.com/reports/stock-market-api-534238
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 24, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The global Stock Market API market is experiencing robust growth, driven by the increasing demand for real-time and historical financial data across various sectors. The proliferation of algorithmic trading, quantitative analysis, and the development of sophisticated financial applications are key factors fueling this expansion. The market is segmented by deployment (cloud-based and on-premises) and user type (SMEs and large enterprises), with cloud-based solutions gaining significant traction due to their scalability, cost-effectiveness, and accessibility. Large enterprises, with their extensive data processing needs and investment in advanced analytics, currently dominate the market share, but the SME segment is exhibiting impressive growth potential as access to affordable and user-friendly APIs becomes increasingly widespread. Geographic expansion is also a significant driver, with North America and Europe holding substantial market shares, while Asia-Pacific is emerging as a rapidly growing region fueled by increasing technological adoption and economic expansion. While competitive pressures from numerous providers and data security concerns present some restraints, the overall market outlook remains highly positive, projected to maintain a strong Compound Annual Growth Rate (CAGR) over the forecast period (2025-2033). The competitive landscape is characterized by a diverse range of established players and emerging startups. Established players like Refinitiv and Bloomberg offer comprehensive data solutions, while smaller companies like Alpha Vantage and Marketstack provide specialized APIs focusing on specific data sets or user needs. This competitive environment fosters innovation, driving the development of new features and capabilities within Stock Market APIs. The increasing demand for integrated data solutions—combining market data with alternative data sources—is another key trend shaping the market. Future growth will likely be fueled by the expansion of fintech, the rise of robo-advisors, and increasing adoption of APIs in academic research and financial education. The market's continued evolution necessitates ongoing adaptation and innovation from both established players and new entrants to cater to the evolving needs of a dynamic and technology-driven financial ecosystem. This ongoing innovation and increasing demand will drive the market to significant growth over the next decade.

  12. d

    Historical Stock Market Price Data

    • datarade.ai
    Updated Aug 12, 2023
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    AXOVISION (2023). Historical Stock Market Price Data [Dataset]. https://datarade.ai/data-products/historical-stock-market-price-data-axovision
    Explore at:
    .json, .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Aug 12, 2023
    Dataset authored and provided by
    AXOVISION
    Area covered
    China, Austria, Netherlands, Canada, Japan, Germany, Spain, Switzerland, Mexico, Italy
    Description

    We offer historical price data for equity indexes, ETFs and individual stocks in a Open/High/Low/Close (OHLC) format and can add almost any other required metric. We cover all major markets and many minor markets. Available for one-time purchase or with regular updates. Real-time/near-time (usually anything quicker than a 15min delay) requires an additional licence from the respective exchange, anything slower does not.

  13. Weekly development Dow Jones Industrial Average Index 2020-2025

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

  14. d

    Machine Learning Data | Korean Market | Real-Time Order Flow Data by...

    • datarade.ai
    .json, .csv, .xls
    Updated Apr 25, 2025
    + more versions
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    TradePulse (2025). Machine Learning Data | Korean Market | Real-Time Order Flow Data by Investor Types [Dataset]. https://datarade.ai/data-products/machine-learning-data-korean-market-real-time-order-flow-tradepulse-b680
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    TradePulse
    Area covered
    Korea (Republic of)
    Description

    PowerMap can infer the subject of trading volume in real-time. This information allows users to predict the order flow by investor type of institutional, foreign, and retail traders. By implementing Direct Market Access (DMA) and High-Frequency Trading (HFT) technology, PowerMap processes and delivers large-scale transactions in real time for the Korean market. Processing high volumes of stock transactions instantly requires robust data processing capabilities. PowerMap receives direct trade data from KRX and analyzes buy and sell signals for approximately 1,000 stocks in real time, covering KOSPI stocks with a market cap over 200 billion KRW ($133.38 million) and KOSDAQ stocks over 150 billion KRW ($103.81 million).

    Key Features: 💠 Real-time investor type classification (institutional, and foreign institutional) 💠 Low-latency data ingestion 💠 Coverage of over 1,200 liquid KOSPI and KOSDAQ stocks 💠 Instantaneous detection of large-block trades and directional flow 💠 Scalable architecture for high-volume transaction analysis

    Primary Use Cases: 🔹 Institutional and proprietary traders monitoring market sentiment shifts 🔹 Quant desks identifying real-time trade triggers and flow-based signals 🔹 Algo developers incorporating investor-type flow into trading strategies 🔹 Broker-dealers and research teams analyzing intraday market dynamics 🔹 Portfolio managers assessing liquidity and participation trends

    Contact us for a real time order flow data in different markets. Stay ahead with TradePulse's order flow insights.

  15. US Options Data Packages for Trading, Research, Education & Sentiment

    • datarade.ai
    Updated Dec 6, 2021
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    Intrinio (2021). US Options Data Packages for Trading, Research, Education & Sentiment [Dataset]. https://datarade.ai/data-products/us-options-data-packages-for-trading-research-education-s-intrinio
    Explore at:
    Dataset updated
    Dec 6, 2021
    Dataset authored and provided by
    Intrinio
    Area covered
    United States of America
    Description

    We offer three easy-to-understand packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

    Bronze

    The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD options prices sourced from OPRA.

    When you’re ready for launch, it’s a seamless transition to our Silver package for delayed options prices, Greeks and implied volatility, and unusual options activity, plus delayed equity prices.

    • Latest EOD OPRA options prices

    Exchange Fees & Requirements:

    This package requires no paperwork or exchange fees.

    Bronze Benefits:

    • Web API access
    • 300 API calls/minute limit
    • File downloads
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support

    Silver

    The Silver package is ideal for clients that want delayed options data for their platform, or for startups in the development and testing phase. You’ll get 15-minute delayed options data, Greeks, implied volatility, and unusual options activity, plus the latest EOD options prices and delayed equity prices.

    You can easily move up to the Gold package for real-time options and equity prices, additional access methods, and premium support options.

    • 15-minute delayed OPRA options prices, Greeks & IV
    • 15-minute delayed OPRA unusual options activity
    • Latest EOD OPRA options prices
    • 15-minute delayed equity prices
    • Underlying security reference data

    Exchange Fees & Requirements:

    If you subscribe to the Silver package and will not display the data outside of your firm, you’ll need to fill out a simplified exchange agreement and send it back to us. There are no exchange fees and we can provide immediate access to the data.

    If you subscribe to the Silver package and will display the data outside of your firm, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is not required, so there are no variable per user fees.

    Silver Benefits:

    • Assistance with OPRA paperwork
    • Web API access
    • 2,000 API calls/minute limit
    • File downloads
    • Access to third-party datasets via Intrinio API (additional fees required)
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support
    • Concierge customer success team
    • Comarketing & promotional initiatives

    Gold

    The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers real-time options prices, Greeks and implied volatility, and unusual options activity, as well as the latest EOD options prices and real-time equity prices.

    You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

    • Real-time OPRA options prices, Greeks & IV
    • Real-time OPRA unusual options activity
    • Latest EOD OPRA options prices
    • Real-time equity prices
    • Underlying security reference data

    Exchange Fees & Requirements:

    If you subscribe to the Gold package, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is required, with an associated variable per user fee.

    Gold Benefits:

    • Assistance with OPRA paperwork
    • Web API access
    • 2,000 API calls/minute limit
    • WebSocket access (additional fee)
    • Customizable access methods (Snowflake, FTP, etc.)
    • Access to third-party datasets via Intrinio API (additional fees required)
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support
    • Concierge customer success team
    • Comarketing & promotional initiatives
    • Access to engineering team

    Platinum

    Don’t see a package that fits your needs? Our team can design a premium custom package for your business.

  16. F

    NASDAQ Composite Index

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
    + more versions
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    (2025). NASDAQ Composite Index [Dataset]. https://fred.stlouisfed.org/series/NASDAQCOM
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 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 NASDAQ Composite Index (NASDAQCOM) from 1971-02-05 to 2025-09-11 about composite, NASDAQ, stock market, indexes, and USA.

  17. NYSE Market Data

    • lseg.com
    Updated Aug 19, 2025
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    LSEG (2025). NYSE Market Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/equities-market-data/nyse-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
    Aug 19, 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

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

  18. c

    The global stock market size is USD 3645.2 million in 2024.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, The global stock market size is USD 3645.2 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/stock-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global stock market size will be USD 3645.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 13% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 1458.1 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1093.6 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 838.4 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 182.3 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.4% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 72.9 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.7% from 2024 to 2031.
    The broker end users held the highest stock market revenue share in 2024.
    

    Market Dynamics of Stock Market

    Key Drivers for the Stock Market

    Rising Demand for Real-Time Data and Analytics to be an Emerging Market Trend
    

    The increasing need for real-time data and advanced analytics is a significant driver in the stock trading and investing market growth. Investors and traders require up-to-the-minute information on stock prices, market trends, and financial news to make informed decisions quickly. As financial markets become more dynamic and competitive, the ability to access and analyze real-time data becomes crucial for success. Trading applications that offer real-time updates, advanced charting tools, and detailed analytics provide users with a competitive edge by enabling them to react swiftly to market movements. This heightened demand for real-time insights fuels the development and adoption of sophisticated trading platforms that cater to both professional traders and retail investors seeking to maximize their investment opportunities.

    Increasing Adoption of Mobile Trading Platforms to Boost Market Growth
    

    The rapid adoption of mobile trading platforms is another key driver for the stock market expansion. With the proliferation of smartphones and mobile internet access, investors are increasingly favoring mobile platforms for their trading activities due to their convenience and accessibility. Mobile trading apps offer users the ability to trade, monitor portfolios, and access financial information on the go, which appeals to both active traders and casual investors. This shift towards mobile platforms is supported by innovations in-app functionality, user experience, and security features. As more investors seek flexibility and real-time engagement with their investments, the demand for sophisticated and user-friendly mobile trading applications continues to rise, propelling market growth.

    Restraint Factor for the Stock Market

    Stringent Rules and Regulations to Impede the Adoption of Online Trading Platforms
    

    Regulatory compliance and legal challenges are major restraints for the stock trading and investing market share. The financial industry is heavily regulated, with strict rules governing trading practices, data protection, and financial disclosures. Compliance with these regulations requires substantial investment in legal expertise, technology, and administrative processes. Changes in regulations can also introduce uncertainty and additional compliance costs for application providers. For example, regulations such as the Markets in Financial Instruments Directive II (MiFID II) in Europe and the Dodd-Frank Act in the U.S. impose stringent requirements on trading practices and transparency. Failure to adhere to these regulations can result in legal penalties and damage to a company’s reputation, which can inhibit market growth and innovation in trading applications.

    Market Volatility and Investor Uncertainty
    
    The stock market is highly sensitive to global economic conditions, geopolitical tensions, interest rate fluctuations, and unexpected events (such as pandemics or wars). This inherent volatility can lead to sharp declines in investor confidence and capital outflows, especially among retai...
    
  19. LSE Market Data

    • lseg.com
    Updated Aug 19, 2025
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    LSEG (2025). 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
    Aug 19, 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

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

  20. G

    Financial News Sentiment Streams

    • gomask.ai
    csv, json
    Updated Jul 21, 2025
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    GoMask.ai (2025). Financial News Sentiment Streams [Dataset]. https://gomask.ai/marketplace/datasets/financial-news-sentiment-streams
    Explore at:
    json, csv(10 MB)Available download formats
    Dataset updated
    Jul 21, 2025
    Dataset provided by
    GoMask.ai
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2024 - 2025
    Area covered
    Global
    Variables measured
    language, event_type, source_url, headline_id, source_name, headline_text, market_sector, ticker_symbol, relevance_score, sentiment_label, and 3 more
    Description

    This dataset aggregates real-time sentiment scores and metadata for financial news headlines, enabling rapid detection of market-moving events and trends. It includes headline text, publication details, sentiment analysis, relevance to financial markets, and links to affected stocks and sectors. Ideal for quantitative trading, risk monitoring, and financial news analytics.

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Click to copy link
Link copied
Close
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TRADING ECONOMICS, United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market

United States Stock Market Index Data

United States Stock Market Index - Historical Dataset (1928-01-03/2025-09-14)

Explore at:
20 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, json, csvAvailable download formats
Dataset updated
Sep 14, 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
Jan 3, 1928 - Sep 14, 2025
Area covered
United States
Description

The main stock market index of United States, the US500, rose to 6586 points on September 14, 2025, gaining 0.03% from the previous session. Over the past month, the index has climbed 2.11% and is up 16.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on September of 2025.

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