What did I Build?

A data set of 1500 public companies listed on NYSE and NASDAQ whose stock went down significantly in the 2020 crash. The important columns in the dataset are:

• Stock Down Since Crash - Percentage of stock value down from Feb 19, 2020 to March 27, 2020
• Possible Gain Long Term - Percentage gain in stocks when stocks will go back to Feb 19, 2020 stock prices
• Buy Rating - Analysts buy rating in percentage

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Why did I Build?

I am beginner investor and wanted to invest in stock markets after 2020 Market Crash because I have read that crashes are temporary and stocks bounce back after some months to where they were before. But the problem was which stocks to invest in? By building this data set, I was quickly able to figure out best companies for me based on Possible Gain Long Term and Buy Rating

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Why I am charging?

This dataset creates immense value so I personally think its fair to charge :)

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