100+ datasets found
  1. Historical Market Data & APIs | Databento

    • databento.com
    csv, dbn, json +1
    Updated Sep 28, 2023
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    Databento (2023). Historical Market Data & APIs | Databento [Dataset]. https://databento.com/historical
    Explore at:
    json, dbn, csv, parquetAvailable download formats
    Dataset updated
    Sep 28, 2023
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 21, 2017 - Present
    Area covered
    Europe, North America
    Description

    Get comprehensive coverage for 70+ trading venues with Databento's historical data APIs. Available in multiple data formats including MBO, MBP, and more.

  2. 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 of America
    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.

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

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

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

  4. M

    Agora - 5 Year Stock Price History | API

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Agora - 5 Year Stock Price History | API [Dataset]. https://www.macrotrends.net/stocks/charts/API/agora/stock-price-history
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    The latest closing stock price for Agora as of June 16, 2025 is 3.82. An investor who bought $1,000 worth of Agora stock at the IPO in 2020 would have $-924 today, roughly -1 times their original investment - a -40.33% compound annual growth rate over 5 years. The all-time high Agora stock closing price was 106.14 on February 12, 2021. The Agora 52-week high stock price is 6.99, which is 83% above the current share price. The Agora 52-week low stock price is 1.65, which is 56.8% below the current share price. The average Agora stock price for the last 52 weeks is 3.69. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  5. d

    Finhubb Stock API - Datasets

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    M, K (2023). Finhubb Stock API - Datasets [Dataset]. http://doi.org/10.7910/DVN/PVEM40
    Explore at:
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    M, K
    Description

    Finnhub is the ultimate stock api in the market, providing real-time and historical price for global stocks with Rest API and websocket. We also support a tons of other financial data like stock fundamentals, analyst estimates, fundamental data and more. Download the file to access balance sheet of Amazon.

  6. 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.

  7. d

    Historical stock prices | Level 1,2,3 Data and System events

    • datarade.ai
    .json, .csv
    Updated Mar 13, 2025
    + more versions
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    CoinAPI (2025). Historical stock prices | Level 1,2,3 Data and System events [Dataset]. https://datarade.ai/data-products/historical-stock-prices-level-1-2-3-data-and-system-events-coinapi
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Mar 13, 2025
    Dataset provided by
    Coinapi Ltd
    Authors
    CoinAPI
    Area covered
    Namibia, Bermuda, American Samoa, Niue, Sierra Leone, Germany, Thailand, Peru, Bouvet Island, Libya
    Description

    FinFeedAPI provides equity market data covering over 11,000 symbols, featuring historical T+1 data with an unlimited loopback period. We deliver everything from detailed trade records and multiple levels of order book depth (Level 1-3) to crucial regulatory and system messages.

    Our data is engineered for performance, featuring nano-second precision timestamps. This ensures a competitive edge for high-frequency trading by enabling fair, accurate, and auditable transaction sequencing, critical for regulatory compliance. Access comprehensive equity market intelligence directly through our robust API offerings.

    Why FinFeedAPI?

    Market Coverage & Data Depth: - Historical Data: T+1 data on 11K+ symbols with unlimited historical lookback. - Trade Feeds: Detailed trade records including timestamps, sizes, prices, and conditions (e.g., odd lot, intermarket sweep, extended hours). - Level 1 Quotes: Best bid/ask prices, sizes, and timestamps. - Level 2 Price Book: Market depth with multiple bid/ask prices and aggregate order sizes. - Level 3 Order Book: The complete order book detailing individual orders.

    Essential Messages: - Admin Messages: Trading status, official open/close prices, auction states, short sale restrictions, retail liquidity indicators, security directory. - System Events: Exchange-level notifications for key trading session phases.

    Precision & Reliability: - Nano-second Timestamps: Ensuring fair, accurate, and auditable transaction sequencing for HFT and compliance. - Institutional Trust: Relied upon by financial institutions for dependable equity market information.

    Financial institutions and trading firms rely on FinFeedAPI for mission-critical equity market intelligence. We are committed to delivering clean, precise, and comprehensive data when it matters most. If you require dependable and granular stock market data, FinFeedAPI provides the actionable insights you need.

  8. EOD data for all Dow Jones stocks

    • kaggle.com
    zip
    Updated Jun 12, 2019
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    Timo Bozsolik (2019). EOD data for all Dow Jones stocks [Dataset]. https://www.kaggle.com/datasets/timoboz/stock-data-dow-jones
    Explore at:
    zip(1697460 bytes)Available download formats
    Dataset updated
    Jun 12, 2019
    Authors
    Timo Bozsolik
    Description

    Update

    Unfortunately, the API this dataset used to pull the stock data isn't free anymore. Instead of having this auto-updating, I dropped the last version of the data files in here, so at least the historic data is still usable.

    Content

    This dataset provides free end of day data for all stocks currently in the Dow Jones Industrial Average. For each of the 30 components of the index, there is one CSV file named by the stock's symbol (e.g. AAPL for Apple). Each file provides historically adjusted market-wide data (daily, max. 5 years back). See here for description of the columns: https://iextrading.com/developer/docs/#chart

    Since this dataset uses remote URLs as files, it is automatically updated daily by the Kaggle platform and automatically represents the latest data.

    Acknowledgements

    List of stocks and symbols as per https://en.wikipedia.org/wiki/Dow_Jones_Industrial_Average

    Thanks to https://iextrading.com for providing this data for free!

    Terms of Use

    Data provided for free by IEX. View IEX’s Terms of Use.

  9. Global Corporate Actions Stock Data | Stock Reference Data | Dividends and...

    • datarade.ai
    Updated Jan 3, 2025
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    Cbonds (2025). Global Corporate Actions Stock Data | Stock Reference Data | Dividends and Splits | 80K stocks [Dataset]. https://datarade.ai/data-products/reference-stocks-data-api-global-coverage-75k-stocks-cbonds
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Cbondshttps://cbonds.com/
    Area covered
    Uzbekistan, Sri Lanka, Norway, Sudan, Italy, Egypt, Turkey, Bermuda, Botswana, Finland
    Description

    Global Shares Data Reference data on more than 80K stocks worldwide. Historical data from 2000 onwards. Pay only for the parameters you need. Flexible in customizing our product to the customer's needs. Free test access as long as you need for integration. Reliable sources: issues documents, disclosure website, global depositories data and other open sources. The cost depends on the amount of required parameters and re-distribution right.

  10. T

    United States API Crude Oil Stock Change

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 13, 2019
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    TRADING ECONOMICS (2019). United States API Crude Oil Stock Change [Dataset]. https://tradingeconomics.com/united-states/api-crude-oil-stock-change
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Aug 13, 2019
    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 23, 2012 - Jul 4, 2025
    Area covered
    United States
    Description

    API Crude Oil Stock Change in the United States increased to 7.10 BBL/1Million in July 4 from 0.68 BBL/1Million in the previous week. This dataset provides - United States API Crude Oil Stock Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. h

    daily-historical-stock-price-data-for-agora-inc-20202025

    • huggingface.co
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    Khaled Ben Ali, daily-historical-stock-price-data-for-agora-inc-20202025 [Dataset]. https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-agora-inc-20202025
    Explore at:
    Authors
    Khaled Ben Ali
    Description

    📈 Daily Historical Stock Price Data for Agora, Inc. (2020–2025)

    A clean, ready-to-use dataset containing daily stock prices for Agora, Inc. from 2020-06-26 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

      🗂️ Dataset Overview
    

    Company: Agora, Inc. Ticker Symbol: API Date Range: 2020-06-26 to 2025-05-28 Frequency: Daily Total Records: 1236 rows (one per trading day)

      🔢 Columns… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-agora-inc-20202025.
    
  12. d

    Africa | Corporate Buyback Data | Transactions and Intentions | 10 Years...

    • datarade.ai
    Updated Feb 15, 2024
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    Smart Insider (2024). Africa | Corporate Buyback Data | Transactions and Intentions | 10 Years Historical Data | Public Equity Market Data | Stock Market Data Africa [Dataset]. https://datarade.ai/data-products/africa-corporate-buyback-data-transactions-and-intentions-smart-insider-455d
    Explore at:
    .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Smart Insider
    Area covered
    Mozambique, Sri Lanka, Ghana, Azerbaijan, Ethiopia, Uganda, Congo (Democratic Republic of the), Maldives, Mauritania, Comoros
    Description

    Smart Insider’s Global Share Buyback Database offers invaluable insights to investors on public equity market data. We provide detailed, up-to-date share buyback data covering over 55,000 companies globally including Africa, that’s every company that reports Buybacks through regulatory processes.

    Our Share buyback data includes detailed information on all major buyback transactions including source announcements and derived analysis fields. Our platform adds a visual representation of the data, allowing investors to quickly identify patterns and make decisions based on their findings.

    Get detailed share buyback insights with Smart Insider and stay ahead of the curve with accurate, historical buyback insight that helps you make better investment decisions.

    We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as CSV, XML or XLSX via SFTP, API or Snowflake.

    Sample dataset for Desktop Service has been provided with limited fields. Upon request, we can provide a detailed Quant sample.

    Tags: Equity Market Data, Stock Market Data, Corporate Actions Data, Corporate Buyback Data, Company Financial Data, Insider Trading Data, Africa

  13. T

    United States API Distillate Stocks

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 20, 2020
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    TRADING ECONOMICS (2020). United States API Distillate Stocks [Dataset]. https://tradingeconomics.com/united-states/api-distillate-stocks
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jul 20, 2020
    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
    May 19, 2017 - Jul 4, 2025
    Area covered
    United States
    Description

    API Distillate Stocks in the United States increased to 3.20 BBL/1Million in January 3 from -1.70 BBL/1Million in the previous week. This dataset provides - United States API Distillate Stocks Change- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  14. Spanish Stocks Historical Data from 2000 to 2019

    • kaggle.com
    Updated Jun 7, 2019
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    alvarobartt (2019). Spanish Stocks Historical Data from 2000 to 2019 [Dataset]. https://www.kaggle.com/alvarob96/spanish-stocks-historical-data/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 7, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    alvarobartt
    Description

    Introduction

    Since Investing.com does not have an API, I decided to develop this Python package in order to retrieve historical data from the companies that integrate the Continuous Spanish Stock Market. So on, I decided to generate, via investpy, the datasets for every company so that any Data Scientist or Data Enthusiastic can handle it and abstract their own conclusions and research.

    The main purpose of developing investpy, the package from which these datasets have been retrieved, was to use it as the Data Extraction tool for its namesake section, for my Final Degree Project at the University of Salamanca titled "*Machine Learning for stock investment recommendation systems*". The package end up being so consistent, reliable and usable that it is going to be used as the main Data Extraction tool by another students in their Final Degree Projects named "*Recommender system of banking products*" and "*Robo-Advisor Application*".

    License

    MIT License

    Additional Information

    investpy, the Python package from which datasets were generated is currently in a development beta version, so please, if needed open an issue to solve all the possible problems the package may be causing or any dataset error. Also, any new ideas or proposals are welcome, and will be gladly implemented in the package if the are positive and useful.

    For further information or any question feel free to contact me via email at alvarob96@usal.es

    You can also check my Medium Publication, where I upload weekly posts related to Data Science and mainly on Data Extraction techniques via Web Scraping. In this case, you can read "investpy — a Python package for historical data extraction from the Spanish stock market" where I explain the basics on investpy development and some insights on Web Scraping with Python.

    Disclaimer

    This Python Package has been made for research purposes in order to fit a needs that Investing.com does not cover, so this package works like an Application Programming Interface (API) of Investing.com developed in an altruistic way. Conclude that this package is not related in any way with Investing.com or any dependant company, the only requirement for developing this package was to mention the source where data is retrieved.

  15. Nasdaq Stock Market Data (Nasdaq TotalView-ITCH feed)

    • databento.com
    csv, dbn, json
    Updated Jan 14, 2025
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    Databento (2025). Nasdaq Stock Market Data (Nasdaq TotalView-ITCH feed) [Dataset]. https://databento.com/datasets/XNAS.ITCH
    Explore at:
    dbn, json, csvAvailable download formats
    Dataset updated
    Jan 14, 2025
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 1, 2018 - Present
    Area covered
    United States
    Description

    Get Nasdaq real-time and historical data with support for fast market replay at over 19 million book updates per second. Test our data for free with only 4 lines of code.

    Nasdaq TotalView-ITCH is a proprietary data feed that disseminates full order book depth and last sale data from the Nasdaq stock market (XNAS). It delivers every quote and order at each price level, along with any event that updates the order book after an order is placed, such as trade executions, modifications, or cancellations. Nasdaq is the most active US equity exchange by volume and represented 13.03% of the average daily volume (ADV) as of January 2025.

    With its L3 granularity, Nasdaq TotalView-ITCH captures information beyond the L1, top-of-book data available through SIP feeds and enables more accurate modeling of book imbalances, trade directionality, quote lifetimes, and more. This includes explicit trade aggressor side, odd lots, auction imbalance data, and the Net Order Imbalance Indicator (NOII) for the Nasdaq Opening and Closing Crosses and Nasdaq IPO/Halt Cross—the best predictor of Nasdaq opening and closing prices available. Other key advantages of Nasdaq TotalView-ITCH over SIP data include faster real-time dissemination and precise exchange-side timestamping directly from Nasdaq.

    Real-time Nasdaq TotalView-ITCH data is included with a Plus or Unlimited subscription through our Databento US Equities service. Historical data is available for usage-based rates or with any subscription. Visit our pricing page for more details or to upgrade your plan.

    Breadth of coverage: 20,329 products

    Asset class(es): Equities

    Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.

    Supported data encodings: DBN, CSV, JSON Learn more

    Supported market data schemas: MBO, MBP-1, MBP-10, BBO-1s, BBO-1m, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status, Imbalance Learn more

    Resolution: Immediate publication, nanosecond-resolution timestamps

  16. Real-Time Market Data & APIs | Databento

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

    Leverage Databento's real-time stock API to get tick data with full order book depth (MBO). Offering seamless intraday market replay in a single API call.

  17. Historical Data for FAANG Stocks

    • kaggle.com
    Updated Oct 14, 2020
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    BrianTheCoder (2020). Historical Data for FAANG Stocks [Dataset]. https://www.kaggle.com/datasets/brianthecoder/historical-data-for-faang-stocks/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 14, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    BrianTheCoder
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    According to Investopedia:

    FAANG is an acronym referring to the stocks of the five most popular and best-performing American technology companies: Facebook, Amazon, Apple, Netflix and Alphabet (formerly known as Google). In addition to being widely known among consumers, the five FAANG stocks are among the largest companies in the world, with a combined market capitalization of over $4.1 trillion as of January 2020. Some have raised concerns that the FAANG stocks may be in the midst of a bubble, whereas others argue that their growth is justified by the stellar financial and operational performance they have shown in recent years.

    Regardless of the myriad of accolades, comments, and even controversies surrounding the FAANG stocks, they are nevertheless a data science/mining treasure and the bellwether of the NASDAQ index, if not the entire US technology sector.

    This Kaggle dataset contains over 20 years of daily historical data for the five FAANG constituents, as retrieved from this free stock API. It is a public-domain dataset that gives the data science practitioners (a.k.a., you!) the full flexibility to derive second-order insights and investment heuristics from it.

    Content

    Over 20 years of daily historical data (2000-01-01 to 2020-10-01) for the five FAANG stocks: Facebook, Amazon, Apple, Netflix, and Alphabet/Google. For completeness, both raw and adjusted prices are included, along with historical split events and dividend payouts (check out here for how stock market API providers perform price adjustments).

    Acknowledgements

    Data source: https://www.alphavantage.co/

  18. S

    Stock Market API Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 16, 2025
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    Archive Market Research (2025). Stock Market API Report [Dataset]. https://www.archivemarketresearch.com/reports/stock-market-api-30212
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Feb 16, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The Stock Market API market is projected to experience a remarkable growth trajectory, with a market size of XX million in 2025 and an anticipated CAGR of XX% over the forecast period of 2025-2033. This growth is driven by the increasing demand for real-time and accurate financial data for informed investment decisions, as well as the rise of cloud-based technologies and the proliferation of API-driven applications. Key market trends shaping the Stock Market API landscape include the adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML) for data analysis and prediction, the growing popularity of mobile trading and fintech applications, and the increasing demand for personalized and tailored financial services. The market is also characterized by a competitive landscape with a wide range of API providers offering diverse data offerings and integration options. Prominent players in the market include Marketstack, Alpha Vantage, Finnhub, Barchart, Financial Modeling Prep, EOD Historical Data, Tiingo, Intrinio, Quandl, Polygon, Alpaca, Yahoo, IEX Cloud, FRED (Federal Reserve Economic Data) API, Ally Invest API, Xignite, Tradier, AlphaSense, Refinitiv Data Platform, E*TRADE, Koyfin, Investopedia, and more.

  19. Amazon.com Inc stock price history (AMZN)

    • databento.com
    csv, dbn, json
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    Databento, Amazon.com Inc stock price history (AMZN) [Dataset]. https://databento.com/catalog/us-equities/XNAS.ITCH/equities/AMZN
    Explore at:
    csv, dbn, jsonAvailable download formats
    Dataset provided by
    Databento Inc.
    Authors
    Databento
    Time period covered
    May 1, 2018 - Present
    Area covered
    United States
    Description

    Browse Amazon.com Inc (AMZN) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

    Nasdaq TotalView-ITCH is the proprietary data feed that provides full order book depth for Nasdaq market participants.

    Origin: Directly captured at Equinix NY4 (Secaucus, NJ) with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP.

    Supported data encodings: DBN, CSV, JSON Learn more

    Supported market data schemas: MBO, MBP-1, MBP-10, BBO-1s, BBO-1m, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics, Status, Imbalance Learn more

    Resolution: Immediate publication, nanosecond-resolution timestamps

  20. d

    Historical volatility time series and Live prices on Equity Options

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

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

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

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

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

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

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

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

    Here are examples of possible syntaxes:

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

    data.canari.dev/IV/ALV/1224

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

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

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

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Databento (2023). Historical Market Data & APIs | Databento [Dataset]. https://databento.com/historical
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Historical Market Data & APIs | Databento

Download intraday historical stock price data (OHLC bars, bid-ask spreads and more)

Explore at:
json, dbn, csv, parquetAvailable download formats
Dataset updated
Sep 28, 2023
Dataset provided by
Databento Inc.
Authors
Databento
Time period covered
May 21, 2017 - Present
Area covered
Europe, North America
Description

Get comprehensive coverage for 70+ trading venues with Databento's historical data APIs. Available in multiple data formats including MBO, MBP, and more.

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