100+ datasets found
  1. Stock Market Dataset

    • kaggle.com
    zip
    Updated Apr 2, 2020
    + more versions
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    Oleh Onyshchak (2020). Stock Market Dataset [Dataset]. http://doi.org/10.34740/kaggle/dsv/1054465
    Explore at:
    zip(547714524 bytes)Available download formats
    Dataset updated
    Apr 2, 2020
    Authors
    Oleh Onyshchak
    License

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

    Description

    Overview

    This dataset contains historical daily prices for all tickers currently trading on NASDAQ. The up to date list is available from nasdaqtrader.com. The historic data is retrieved from Yahoo finance via yfinance python package.

    It contains prices for up to 01 of April 2020. If you need more up to date data, just fork and re-run data collection script also available from Kaggle.

    Data Structure

    The date for every symbol is saved in CSV format with common fields:

    • Date - specifies trading date
    • Open - opening price
    • High - maximum price during the day
    • Low - minimum price during the day
    • Close - close price adjusted for splits
    • Adj Close - adjusted close price adjusted for both dividends and splits.
    • Volume - the number of shares that changed hands during a given day

    All that ticker data is then stored in either ETFs or stocks folder, depending on a type. Moreover, each filename is the corresponding ticker symbol. At last, symbols_valid_meta.csv contains some additional metadata for each ticker such as full name.

  2. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +15more
    csv, excel, json, xml
    + more versions
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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 - Mar 27, 2025
    Area covered
    United States
    Description

    The main stock market index in the United States (US500) decreased 176 points or 2.99% since the beginning of 2025, 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 March of 2025.

  3. M

    NASDAQ Composite - 54 Years of Historical Data

    • macrotrends.net
    • new.macrotrends.net
    csv
    Updated Mar 26, 2025
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    NASDAQ Composite - 54 Years of Historical Data [Dataset]. https://www.macrotrends.net/1320/nasdaq-historical-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 26, 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

    Area covered
    World
    Description

    Long term historical dataset of the NASDAQ Composite stock market index since 1971. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

  4. Stock Market Sentiment Data: Historical tick-by-tick sentiment data,...

    • datarade.ai
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    InfoTrie, Stock Market Sentiment Data: Historical tick-by-tick sentiment data, real-time updates, and market indices globally [Dataset]. https://datarade.ai/data-products/stock-market-sentiment-data-historical-tick-by-tick-sentimen-infotrie
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    InfoTrie Financial Solutions
    Authors
    InfoTrie
    Area covered
    Libya, United Republic of, Lesotho, South Sudan, Monaco, Brazil, Mongolia, Sao Tome and Principe, Sierra Leone, Qatar
    Description

    Gain data-driven insights for informed investment decisions. Access market sentiment data since 2013 and customize the API for seamless integration. Maximize your stock market understanding with comprehensive analytics on global stock indices, and public and private companies. Analyze sentiment trends and investor behavior with confidence.

    Sample Dataset - Historical News Sentiment data for your reference.

    Key Features:

    1. Tick-by-Tick Sentiment: Access detailed market dynamics with tick-by-tick sentiment data.
    2. Custom API: Request a customizable API covering over 70,000 tickers, including major FX, commodities, topics, and people.
    3. Proven Expertise: Trust our track record since 2013 for historical data on long-term sentiment patterns.
    4. Uncover Hidden Insights: Gauge investor sentiment and reveal market opportunities with the custom API.
    5. Real-Time Benchmarks: Enhance your strategies with real-time sentiment indicators.
    6. Customizable and Flexible Delivery: Tailor the dataset to your requirements and integrate seamlessly into your workflows.

    Gain a competitive edge with InfoTrie's Historical Tick-by-Tick Stock Market Sentiment Data. Request access now to elevate your investment strategies and make data-driven decisions.

    More information on : https://infotrie.com/sentiment-analysis/

  5. M

    Dow Jones - 10 Years of Daily Historical Data

    • macrotrends.net
    • new.macrotrends.net
    csv
    Updated Mar 22, 2025
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    MACROTRENDS (2025). Dow Jones - 10 Years of Daily Historical Data [Dataset]. https://www.macrotrends.net/1358/dow-jones-industrial-average-last-10-years
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 22, 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

    Area covered
    World
    Description

    Ten years of daily data for the Dow Jones Industrial Average (DJIA) market index. Each point of the dataset is represented by the daily closing price for the DJIA. Historical data can be downloaded via the red button on the upper right corner of the chart.

  6. T

    Webster Financial | WBS - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, Webster Financial | WBS - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/wbs:us
    Explore at:
    excel, json, csv, xmlAvailable 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 1, 2000 - Mar 27, 2025
    Area covered
    United States
    Description

    Webster Financial stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  7. d

    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 authored and provided by
    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

  8. F

    Index of Common Stock Prices, New York Stock Exchange for United States

    • fred.stlouisfed.org
    json
    Updated Aug 15, 2012
    + more versions
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    (2012). Index of Common Stock Prices, New York Stock Exchange for United States [Dataset]. https://fred.stlouisfed.org/series/M11007USM322NNBR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 15, 2012
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.

  9. A

    ‘Major social media historical stock prices’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 15, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Major social media historical stock prices’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-major-social-media-historical-stock-prices-4a06/latest
    Explore at:
    Dataset updated
    Feb 15, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Major social media historical stock prices’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/prasertk/social-media-stock-prices on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    Take a look at historical stock prices of major social media companies.

    Content

    Meta (Facebook), Twitter, Snap, Pinterest and Etsy historical stock prices.

    --- Original source retains full ownership of the source dataset ---

  10. F

    S&P 500

    • fred.stlouisfed.org
    • you.radio.fm
    json
    Updated Mar 26, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 26, 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.

  11. d

    FirstRate Data - US Fundamental Data (Historical Financial Data for 30 Years...

    • datarade.ai
    .xls
    Updated Dec 20, 2020
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    FirstRate Data (2020). FirstRate Data - US Fundamental Data (Historical Financial Data for 30 Years Quarterly Financials for 5500 Tickers) [Dataset]. https://datarade.ai/data-products/us-fundamental-data-30-years-quarterly-financials-for-5500-tickers-firstrate-data
    Explore at:
    .xlsAvailable download formats
    Dataset updated
    Dec 20, 2020
    Dataset authored and provided by
    FirstRate Data
    Area covered
    United States of America
    Description
    • Data from Dec 1989 to Dec 2020.
    • Includes Income Statement, Balance Sheet, and Cashflow statement.
    • Adjusted for restatements.
    • Includes valuation metrics such as enterprise valuation and market capitalization.
    • Over 30 ratios such as p/e ratio, EBITDA/sales, gross margin etc..
    • Standardized categories for comparison between companies.
  12. T

    National Western Life | NWLI - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 27, 2025
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    TRADING ECONOMICS (2025). National Western Life | NWLI - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/nwli:us
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Mar 27, 2025
    Area covered
    United States
    Description

    National Western Life stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  13. d

    Over-the-counter historical stock price-to-earnings ratio ranking

    • data.gov.tw
    csv
    Updated Dec 6, 2024
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    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C. (2024). Over-the-counter historical stock price-to-earnings ratio ranking [Dataset]. https://data.gov.tw/en/datasets/17262
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 6, 2024
    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

    Over-the-Counter Historical Stock PER Ranking (GreTai Securities Market)

  14. Sweetener Market Data Historical Stocks

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +1more
    Updated Jan 3, 2024
    + more versions
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    Farm Service Agency, Department of Agriculture (2024). Sweetener Market Data Historical Stocks [Dataset]. https://catalog.data.gov/dataset/sweetener-market-data-historical-stocks
    Explore at:
    Dataset updated
    Jan 3, 2024
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Farm Service Agencyhttps://www.fsa.usda.gov/
    Description

    Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities of stocks on a monthly basis.

  15. A

    ‘Historical Stock Price of (FAANG + 5) companies’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Apr 24, 2019
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2019). ‘Historical Stock Price of (FAANG + 5) companies’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-historical-stock-price-of-faang-5-companies-7ab6/latest
    Explore at:
    Dataset updated
    Apr 24, 2019
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Historical Stock Price of (FAANG + 5) companies’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/suddharshan/historical-stock-price-of-10-popular-companies on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    The subject matter of this dataset contains the stock prices of the 10 popular companies ( Apple, Amazon, Netflix, Microsoft, Google, Facebook, Tesla, Walmart, Uber and Zoom)

    Content

    Within the dataset one will encounter the following: The date - "Date" The opening price of the stock - "Open" The high price of that day - "High" The low price of that day - "Low" The closed price of that day - "Close" The amount of stocks traded during that day - "Volume" The stock's closing price that has been amended to include any distributions/corporate actions that occurs before next days open - "Adj[usted] Close" Time period - 2015 to 2021 (day level)

    Tasks - Exploratory Data Analysis - Tell a visualization story - Compare stock price growth between companies - Stock price prediction - Time series analysis

    --- Original source retains full ownership of the source dataset ---

  16. Dataset: The Dixie Group, Inc. (DXYN) Stock Performance

    • zenodo.org
    • explore.openaire.eu
    csv
    Updated Jun 26, 2024
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    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade (2024). Dataset: The Dixie Group, Inc. (DXYN) Stock Performance [Dataset]. http://doi.org/10.5281/zenodo.12555995
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 26, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade
    License

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

    Description

    This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

  17. T

    HP | HPQ - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). HP | HPQ - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/hpq:us
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    May 27, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Mar 26, 2025
    Area covered
    United States
    Description

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

  18. D

    Tesla Inc stock price history (TSLA)

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

    Browse Tesla Inc (TSLA) 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

  19. Dataset: noco-noco Inc. (NCNCW) Stock Performance

    • zenodo.org
    csv
    Updated Jun 27, 2024
    + more versions
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    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade (2024). Dataset: noco-noco Inc. (NCNCW) Stock Performance [Dataset]. http://doi.org/10.5281/zenodo.12560380
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade
    License

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

    Description

    This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

  20. Dataset: The Bancorp, Inc. (TBBK) Stock Performance

    • zenodo.org
    • explore.openaire.eu
    csv
    Updated Jun 27, 2024
    + more versions
    Share
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    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade (2024). Dataset: The Bancorp, Inc. (TBBK) Stock Performance [Dataset]. http://doi.org/10.5281/zenodo.12564837
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nitiraj Kulkarni; Nitiraj Kulkarni; Jagadish Tawade; Jagadish Tawade
    License

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

    Description

    This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Oleh Onyshchak (2020). Stock Market Dataset [Dataset]. http://doi.org/10.34740/kaggle/dsv/1054465
Organization logo

Stock Market Dataset

Historical daily prices of Nasdaq-traded stocks and ETFs

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
zip(547714524 bytes)Available download formats
Dataset updated
Apr 2, 2020
Authors
Oleh Onyshchak
License

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

Description

Overview

This dataset contains historical daily prices for all tickers currently trading on NASDAQ. The up to date list is available from nasdaqtrader.com. The historic data is retrieved from Yahoo finance via yfinance python package.

It contains prices for up to 01 of April 2020. If you need more up to date data, just fork and re-run data collection script also available from Kaggle.

Data Structure

The date for every symbol is saved in CSV format with common fields:

  • Date - specifies trading date
  • Open - opening price
  • High - maximum price during the day
  • Low - minimum price during the day
  • Close - close price adjusted for splits
  • Adj Close - adjusted close price adjusted for both dividends and splits.
  • Volume - the number of shares that changed hands during a given day

All that ticker data is then stored in either ETFs or stocks folder, depending on a type. Moreover, each filename is the corresponding ticker symbol. At last, symbols_valid_meta.csv contains some additional metadata for each ticker such as full name.

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