100+ datasets found
  1. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +9more
    csv, excel, json, xml
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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 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 - Jul 31, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6391 points on July 31, 2025, gaining 0.45% from the previous session. Over the past month, the index has climbed 3.12% and is up 17.34% 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 July of 2025.

  2. 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.

  3. 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
    Netherlands, Mexico, Italy, Switzerland, Spain, Japan, Canada, Germany, Austria, China
    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.

  4. 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 provided by
    Authors
    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.

  5. d

    Real-Time Order Flow Data by Investor Types | Korean Market | Alternative...

    • datarade.ai
    .json, .csv, .xls
    Updated Apr 25, 2025
    + more versions
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    TradePulse (2025). Real-Time Order Flow Data by Investor Types | Korean Market | Alternative Data [Dataset]. https://datarade.ai/data-products/real-time-order-flow-data-by-investor-types-korean-market-tradepulse
    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.

  6. 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.

  7. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +10more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS, Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jun 15, 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 5, 1965 - Jul 30, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, rose to 40839 points on July 30, 2025, gaining 0.40% from the previous session. Over the past month, the index has climbed 2.13% and is up 4.44% 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 July of 2025.

  8. 1 M+ Real Time stock market data [NSE/BSE]

    • kaggle.com
    Updated Jun 23, 2017
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    Dipanjan (2017). 1 M+ Real Time stock market data [NSE/BSE] [Dataset]. https://www.kaggle.com/deeiip/1m-real-time-stock-market-data-nse/kernels
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 23, 2017
    Dataset provided by
    Kaggle
    Authors
    Dipanjan
    License

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

    Description

    Context

    Starting something in FinTech is the most difficult thing. You have no open data. These days I'm trying to do some algo-trading. Maybe not in true sense, because it's not high frequency scalping. But anyway that's that.

    What?

    The data gives almost-Realtime data for half of the Nifty 50 stocks for last week of May and first 2 Weeks of July.

    Now here is the obvious question. The dataset does not have timestamp. That's because it is collected via Web-Socket streaming as it happens. Sometimes once in a couple of seconds, sometimes 10-15 times in the same span. So there is no point to timestamp IMHO. Anyway it'll be client-side timestamp, so not a true timestamp.

    Description

    • tick_data.csv contains only the price-volume data.
    • volume: total volumes traded for the day
    • last_price: denotes the quote price for latest trade
      • List item instrument_list.csv contains description of the underlying instrument.

    P.S:

    **All the data points are not tick-by-tick update. Rather it is mostly an update after 600 ms, provided a trade happened **

  9. T

    London Stock Exchange | LSE - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 1, 2015
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    TRADING ECONOMICS (2015). London Stock Exchange | LSE - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/lse:ln
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Nov 1, 2015
    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 - Jul 31, 2025
    Area covered
    London, United Kingdom
    Description

    London Stock Exchange stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  10. Real Time Stock Market Data Analysis with Python

    • kaggle.com
    Updated Sep 22, 2020
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    CSvikram100 (2020). Real Time Stock Market Data Analysis with Python [Dataset]. https://www.kaggle.com/csvikram100/real-time-stock-market-data-analysis-with-python/notebooks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 22, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    CSvikram100
    Description

    Dataset

    This dataset was created by CSvikram100

    Contents

  11. LSE Market Data

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

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

    Description

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

  12. NYSE Market Data

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). 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
    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

    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.

  13. 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
    Explore at:
    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.

  14. D

    Stock Analysis Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    + more versions
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    Dataintelo (2025). Stock Analysis Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-stock-analysis-software-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    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

    Stock Analysis Software Market Outlook




    The global stock analysis software market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.5% during the forecast period. The growth of this market is driven by the increasing adoption of advanced analytics tools by individual investors and financial institutions to make informed investment decisions. The rising demand for automated trading systems and the integration of artificial intelligence (AI) and machine learning (ML) in stock analysis software are significant growth factors contributing to the market expansion.




    One of the primary growth factors for the stock analysis software market is the increasing complexity and volume of financial data. With the exponential growth of data from various sources such as social media, news articles, and financial statements, investors and financial analysts require sophisticated tools to process and interpret this information accurately. Stock analysis software equipped with AI and ML algorithms can analyze vast datasets in real-time, providing valuable insights and predictive analytics that enhance investment strategies. Moreover, the growing trend of algorithmic trading, which relies heavily on high-speed data processing and automated decision-making, is further propelling the market growth.




    Another crucial growth driver is the rising awareness and adoption of stock analysis software among individual investors. As more individuals seek to actively manage their investment portfolios, there is a growing demand for user-friendly and cost-effective stock analysis tools that offer comprehensive market analysis, technical indicators, and personalized investment recommendations. The proliferation of mobile applications and the increasing accessibility of cloud-based stock analysis solutions have made it easier for retail investors to access advanced analytical tools, thereby contributing to market expansion.




    The integration of innovative technologies such as natural language processing (NLP) and sentiment analysis into stock analysis software is also a significant growth factor. These technologies enable the software to interpret and analyze unstructured data from news articles, social media, and other textual sources to gauge market sentiment and predict stock price movements. This capability is particularly valuable in today's fast-paced financial markets, where sentiment and news events can have a substantial impact on stock prices. The continuous advancements in AI and NLP technologies are expected to drive further innovations and improvements in stock analysis software, thereby boosting market growth.



    In the evolving landscape of financial technology, Investor Relations Tools have become indispensable for companies seeking to maintain transparent and effective communication with their stakeholders. These tools facilitate seamless interaction between companies and their investors, providing real-time updates, financial reports, and strategic insights. By leveraging these tools, companies can enhance their investor engagement strategies, build trust, and foster long-term relationships with their shareholders. The integration of advanced analytics and AI-driven insights into Investor Relations Tools further empowers companies to tailor their communication strategies, ensuring that they meet the diverse needs of their investor base. As the demand for transparency and accountability in financial markets continues to grow, the adoption of sophisticated Investor Relations Tools is expected to rise, playing a crucial role in the broader ecosystem of stock analysis software.




    From a regional perspective, North America is anticipated to hold the largest market share due to the high concentration of financial institutions, brokerage firms, and individual investors in the region. The presence of key market players and the early adoption of advanced technologies also contribute to the dominant position of North America in the global stock analysis software market. Additionally, the Asia Pacific region is expected to witness significant growth during the forecast period, driven by the increasing number of retail investors, rapid economic development, and the growing financial markets in countries such as China and India.



    Component Analysis



  15. US Equities Packages - Stock Prices & Fundamentals

    • datarade.ai
    Updated Dec 26, 2021
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    Intrinio (2021). US Equities Packages - Stock Prices & Fundamentals [Dataset]. https://datarade.ai/data-products/us-equities-packages-stock-prices-fundamentals-intrinio
    Explore at:
    Dataset updated
    Dec 26, 2021
    Dataset authored and provided by
    Intrinio
    Area covered
    United States
    Description

    We offer three easy-to-understand equity data 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 equity pricing data, standardized financial statement data, and supplementary fundamental datasets.

    When you’re ready for launch, it’s a seamless transition to our Silver package for additional data sets, 15-minute delayed equity pricing data, expanded history, and more.

    • Historical EOD equity prices & technicals (10 years history)
    • Security reference data
    • Standardized & as-reported financial statements (5 years history)
    • 7 supplementary fundamental data sets

    Bronze Benefits:

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

    Silver

    The Silver package is ideal for startups that are in development, testing, or in the beta launch phase. Hit the ground running with 15-minute delayed and historical intraday and EOD equity prices, plus our standardized and as-reported financial statement data with nine supplementary data sets, including insider transactions and institutional ownership.

    When you’re ready to scale, easily move up to the Gold package for our full range of data sets and full history, real-time equity pricing data, premium support options, and much more.

    • 15-minute delayed & historical intraday equity prices
    • Historical EOD equity prices & technicals (full history)
    • Security reference data
    • Standardized & as-reported financial statements (10 years history)
    • 9 supplementary fundamental data sets

    Silver Benefits:

    • Web API access
    • 2,000 API calls/minute limit
    • 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

    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 our complete collection of equity pricing data feeds, from real-time to historical EOD, plus standardized financial statement data and nine supplementary feeds.

    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 equity prices
    • Historical intraday equity prices
    • Historical EOD equity prices & technicals (full history)
    • Security reference data
    • Standardized & as-reported financial statements (full history)
    • 9 supplementary fundamental data sets

    Gold Benefits:

    • No exchange fees
    • No user reporting or variable per-user exchange fees
    • High liquidity (6%+)
    • Web API & WebSocket access
    • 2,000 API calls/minute limit
    • 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
    • Access to engineering team
    • Concierge customer success team
    • Comarketing & promotional initiatives

    Platinum

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

  16. 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.

  17. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +3more
    csv, excel, json, xml
    Updated Jul 31, 2025
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    TRADING ECONOMICS (2024). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market??sa=u&ei=ffhqvnvmn5dloatmoocabw&ved=0cjmbebywfq&usg=afqjcngzbcc8p0owixmdsdjcu_endviwgg
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jul 31, 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 - Jul 31, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6433 points on July 31, 2025, gaining 1.11% from the previous session. Over the past month, the index has climbed 3.80% and is up 18.12% 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 July of 2025.

  18. d

    Real-time Candlestick OHLC API

    • datarade.ai
    .json, .csv, .xls
    Updated Sep 27, 2022
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    Finnworlds (2022). Real-time Candlestick OHLC API [Dataset]. https://datarade.ai/data-products/real-time-candlestick-ohlc-api-finnworlds
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 27, 2022
    Dataset authored and provided by
    Finnworlds
    Area covered
    Gabon, Denmark, Tajikistan, Ireland, Turkmenistan, Turkey, Micronesia (Federated States of), South Sudan, Guinea-Bissau, Croatia
    Description

    The Real-time Candlestick OHLC API provides current candlestick data that covers all major stock exchanges including NYSE, NASDAQ, LSE, Euronext to NSE of India, TSE, and a few more. Users can choose from candlestick data with 1 min, 2 min, 5 min, 15 min, 30 min, 1 hour, 4 hour, 1 day, 1 week, 1 month and 1 year interval. By using the real-time candlestick OHLC data, they can visualize data on candlestick charts and build financial products.

  19. OTC Real Time Contributed Data

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). OTC Real Time Contributed Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/otc-real-time-contributed-data
    Explore at:
    csv,delimited,gzip,json,python,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

    Gain strategic OTC real time contributions from sell side desks across money market, foreign exchange, commodities and energy, and equity.

  20. Hong Kong Stock Exchange Data

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). Hong Kong Stock Exchange Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/equities-market-data/hong-kong-stock-exchange-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

    Area covered
    Hong Kong
    Description

    With LSEG's Hong Kong Stock Exchange Issuer Information feed Service (IIS), gain real-time trading news and announcements from HKEX listed companies.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
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 (1928-01-03/2025-07-31)

Explore at:
19 scholarly articles cite this dataset (View in Google Scholar)
excel, xml, json, csvAvailable 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
Jan 3, 1928 - Jul 31, 2025
Area covered
United States
Description

The main stock market index of United States, the US500, rose to 6391 points on July 31, 2025, gaining 0.45% from the previous session. Over the past month, the index has climbed 3.12% and is up 17.34% 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 July of 2025.

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