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    Nasdaq Stocks Dataset

    • explore.openaire.eu
    • zenodo.org
    Updated Mar 17, 2022
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    Javier Advani (2022). Nasdaq Stocks Dataset [Dataset]. http://doi.org/10.5281/zenodo.6368831
    Explore at:
    Dataset updated
    Mar 17, 2022
    Authors
    Javier Advani
    Description

    NASDAQ (National Association of Securities Dealers Automated Quotation) is the world's second largest automated and electronic stock exchange and securities market in the United States, the first being the New York Stock Exchange, with more than 8,000 companies and corporations. It has more trading volume per hour than any other stock exchange in the world. More than 7,000 small and mid-cap stocks are traded on the NASDAQ. It is characterized by comprising high-tech companies in electronics, computers, telecommunications, biotechnology, and many others. This dataset was created as a result of an automatic extraction of open & public data available in nasdaq.com, using web scraping techniques. The only purpose of creating it was for academic reasons https://github.com/jadvani/NasdaqScraper

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Javier Advani (2022). Nasdaq Stocks Dataset [Dataset]. http://doi.org/10.5281/zenodo.6368831

Nasdaq Stocks Dataset

Explore at:
Dataset updated
Mar 17, 2022
Authors
Javier Advani
Description

NASDAQ (National Association of Securities Dealers Automated Quotation) is the world's second largest automated and electronic stock exchange and securities market in the United States, the first being the New York Stock Exchange, with more than 8,000 companies and corporations. It has more trading volume per hour than any other stock exchange in the world. More than 7,000 small and mid-cap stocks are traded on the NASDAQ. It is characterized by comprising high-tech companies in electronics, computers, telecommunications, biotechnology, and many others. This dataset was created as a result of an automatic extraction of open & public data available in nasdaq.com, using web scraping techniques. The only purpose of creating it was for academic reasons https://github.com/jadvani/NasdaqScraper

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