63 datasets found
  1. H

    Finhubb Stock API - Datasets

    • dataverse.harvard.edu
    • search.dataone.org
    Updated May 24, 2022
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    K M (2022). Finhubb Stock API - Datasets [Dataset]. http://doi.org/10.7910/DVN/PVEM40
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 24, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    K M
    License

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

    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.

  2. 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.

  3. 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
    Uganda, Mauritania, Maldives, Congo (Democratic Republic of the), Ethiopia, Comoros, Mozambique, Ghana, Azerbaijan, Sri Lanka
    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

  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. 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.

  6. 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.

  7. 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.

  8. 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
    France, Sweden, Netherlands, Belgium, Norway, United Kingdom, Spain, Italy, Germany, Switzerland
    Description

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

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

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

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

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

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

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

    Here are examples of possible syntaxes:

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

    data.canari.dev/IV/ALV/1224

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

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

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

  9. T

    United States API Crude Oil Stock Change

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, 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 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 25, 2025
    Area covered
    United States
    Description

    API Crude Oil Stock Change in the United States increased to 1.54 BBL/1Million in July 25 from -0.58 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.

  10. d

    Asia Pacific | Corporate Buyback Data | Transactions and Intentions | 10...

    • datarade.ai
    Updated Feb 15, 2024
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    Smart Insider (2024). Asia Pacific | Corporate Buyback Data | Transactions and Intentions | 10 Years Historical Data | 20K+ companies | Corporate Actions Data [Dataset]. https://datarade.ai/data-products/asia-corporate-buyback-data-transactions-and-intentions-smart-insider
    Explore at:
    .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Smart Insider
    Area covered
    Nepal, Bahrain, Korea (Democratic People's Republic of), Thailand, Mongolia, Bhutan, Bangladesh, Taiwan, Sri Lanka, Armenia
    Description

    Smart Insider’s Global Share Buyback Database offers invaluable insights to investors on corporate actions data. We provide detailed, up-to-date share buyback data covering over 55,000 companies globally and over 20K+ from Asia, 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

  11. F

    US Equities Basic

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

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

    Area covered
    United States
    Dataset funded by
    Finazon
    Description

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

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

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

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

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

  12. Integrated Cryptocurrency Historical Data for a Predictive Data-Driven...

    • cryptodata.center
    Updated Dec 4, 2024
    + more versions
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    cryptodata.center (2024). Integrated Cryptocurrency Historical Data for a Predictive Data-Driven Decision-Making Algorithm - Dataset - CryptoData Hub [Dataset]. https://cryptodata.center/dataset/integrated-cryptocurrency-historical-data-for-a-predictive-data-driven-decision-making-algorithm
    Explore at:
    Dataset updated
    Dec 4, 2024
    Dataset provided by
    CryptoDATA
    License

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

    Description

    Cryptocurrency historical datasets from January 2012 (if available) to October 2021 were obtained and integrated from various sources and Application Programming Interfaces (APIs) including Yahoo Finance, Cryptodownload, CoinMarketCap, various Kaggle datasets, and multiple APIs. While these datasets used various formats of time (e.g., minutes, hours, days), in order to integrate the datasets days format was used for in this research study. The integrated cryptocurrency historical datasets for 80 cryptocurrencies including but not limited to Bitcoin (BTC), Ethereum (ETH), Binance Coin (BNB), Cardano (ADA), Tether (USDT), Ripple (XRP), Solana (SOL), Polkadot (DOT), USD Coin (USDC), Dogecoin (DOGE), Tron (TRX), Bitcoin Cash (BCH), Litecoin (LTC), EOS (EOS), Cosmos (ATOM), Stellar (XLM), Wrapped Bitcoin (WBTC), Uniswap (UNI), Terra (LUNA), SHIBA INU (SHIB), and 60 more cryptocurrencies were uploaded in this online Mendeley data repository. Although the primary attribute of including the mentioned cryptocurrencies was the Market Capitalization, a subject matter expert i.e., a professional trader has also guided the initial selection of the cryptocurrencies by analyzing various indicators such as Relative Strength Index (RSI), Moving Average Convergence/Divergence (MACD), MYC Signals, Bollinger Bands, Fibonacci Retracement, Stochastic Oscillator and Ichimoku Cloud. The primary features of this dataset that were used as the decision-making criteria of the CLUS-MCDA II approach are Timestamps, Open, High, Low, Closed, Volume (Currency), % Change (7 days and 24 hours), Market Cap and Weighted Price values. The available excel and CSV files in this data set are just part of the integrated data and other databases, datasets and API References that was used in this study are as follows: [1] https://finance.yahoo.com/ [2] https://coinmarketcap.com/historical/ [3] https://cryptodatadownload.com/ [4] https://kaggle.com/philmohun/cryptocurrency-financial-data [5] https://kaggle.com/deepshah16/meme-cryptocurrency-historical-data [6] https://kaggle.com/sudalairajkumar/cryptocurrencypricehistory [7] https://min-api.cryptocompare.com/data/price?fsym=BTC&tsyms=USD [8] https://min-api.cryptocompare.com/ [9] https://p.nomics.com/cryptocurrency-bitcoin-api [10] https://www.coinapi.io/ [11] https://www.coingecko.com/en/api [12] https://cryptowat.ch/ [13] https://www.alphavantage.co/ This dataset is part of the CLUS-MCDA (Cluster analysis for improving Multiple Criteria Decision Analysis) and CLUS-MCDAII Project: https://aimaghsoodi.github.io/CLUSMCDA-R-Package/ https://github.com/Aimaghsoodi/CLUS-MCDA-II https://github.com/azadkavian/CLUS-MCDA

  13. d

    Africa & Middle East | Insider Trading Data | 25+ Years Historic Data |...

    • datarade.ai
    Updated Nov 5, 2023
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    Smart Insider (2023). Africa & Middle East | Insider Trading Data | 25+ Years Historic Data | Stock Market Data | Public Equity Market Data for Investment Management [Dataset]. https://datarade.ai/data-products/africa-insider-trading-data-25-years-historic-data-sto-smart-insider
    Explore at:
    .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 5, 2023
    Dataset authored and provided by
    Smart Insider
    Area covered
    Eritrea, Central African Republic, Somalia, Ghana, Benin, Senegal, Namibia, Congo (Democratic Republic of the), South Africa, Mauritius
    Description

    When there is a vast variety of metrics and tools available to gain market insight, Insider trading offers valuable clues to investors related to future share performance. We at Smart Insider provide global insider trading data and analysis on share transactions made by directors & senior staff in the shares of their own companies.

    Monitoring all the insider trading activity is a huge task, we identify 'Smart Insiders' through specialist desktop and quantitative feeds that enable our clients to generate alpha.

    Our experienced analyst team uses quantitative and qualitative methods to identify the stocks most likely to outperform based on deep analysis of insider trades, and the insiders themselves. Using our easy-to-read derived data we help our clients better understand insider transactions activity to make informed 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 XML, XLSX or API via SFTP or Snowflake.

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

    Tags: Stock Market Data, Equity Market Data, Insider Transactions Data, Insider Trading Intelligence, Trading Data, Investment Management, Alternative Investment, Asset Management, Equity Research, Market Analysis, Africa

  14. T

    United States API Distillate Stocks

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States API Distillate Stocks [Dataset]. https://tradingeconomics.com/united-states/api-distillate-stocks
    Explore at:
    json, xml, excel, 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
    May 19, 2017 - Jul 25, 2025
    Area covered
    United States
    Description

    API Distillate Stocks in the United States increased to 0.80 BBL/1Million in July 11 from -0.80 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.

  15. F

    CBOE Volatility Index: VIX

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). CBOE Volatility Index: VIX [Dataset]. https://fred.stlouisfed.org/series/VIXCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Description

    Graph and download economic data for CBOE Volatility Index: VIX (VIXCLS) from 1990-01-02 to 2025-07-30 about VIX, volatility, stock market, and USA.

  16. T

    Iran Tehran Stock Market Index Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 6, 2025
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    TRADING ECONOMICS (2025). Iran Tehran Stock Market Index Data [Dataset]. https://tradingeconomics.com/iran/stock-market
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 6, 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, 2014 - Jul 30, 2025
    Area covered
    Iran
    Description

    Iran's main stock market index, the TEDPIX, closed flat at 2681000 points on July 30, 2025. Over the past month, the index has declined 1.83%, though it remains 29.62% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Iran. Iran Tehran Stock Market Index - values, historical data, forecasts and news - updated on August of 2025.

  17. o

    IvyDB Signed Volume - Daily Options Trading Volume Data

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

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

    Time period covered
    Jan 1, 2016 - Present
    Description

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

  18. m

    Api Group Corp - Free-Cash-Flow-To-Equity

    • macro-rankings.com
    csv, excel
    Updated Jul 21, 2025
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    macro-rankings (2025). Api Group Corp - Free-Cash-Flow-To-Equity [Dataset]. https://www.macro-rankings.com/markets/stocks/apg-nyse/cashflow-statement/free-cash-flow-to-equity
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Jul 21, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Free-Cash-Flow-To-Equity Time Series for Api Group Corp. APi Group Corporation provides safety and specialty services worldwide. The company offers end-to-end integrated occupancy systems, such as fire protection services; heating, ventilation, and air conditioning solutions; and entry systems, elevators, and escalators, including design, installation, inspection, and service of these integrated systems. It also provides various infrastructure and specialized industrial plant services comprising maintenance and repair of underground electric, gas, water, sewer, and telecommunications infrastructure; engineering and design, fabrication, installation, maintenance service and repair, retrofitting and upgrading, pipeline infrastructure, access and road construction, supporting facilities, and integrity management and maintenance. The company serves commercial, education, healthcare, high tech, industrial, and special-hazard settings, as well as private and public utilities, communications, healthcare, education, transportation, manufacturing, industrial plants and governmental agencies. The company was formerly known as J2 Acquisition Limited and changed its name to APi Group Corporation in October 2019. APi Group Corporation was founded in 1926 and is headquartered in New Brighton, Minnesota.

  19. 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
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    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.
    
  20. d

    Weighted Stock Price Index Historical Data

    • data.gov.tw
    csv
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    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., Weighted Stock Price Index Historical Data [Dataset]. https://data.gov.tw/en/datasets/11755
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Historical data of the Taiwan Stock Exchange Weighted Index

Share
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K M (2022). Finhubb Stock API - Datasets [Dataset]. http://doi.org/10.7910/DVN/PVEM40

Finhubb Stock API - Datasets

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
May 24, 2022
Dataset provided by
Harvard Dataverse
Authors
K M
License

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

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.

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