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How to Use Python to Scrape Finviz.com Screeners for Stock Analysis

 
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Learn how to use Python to scrape and analyze stock data from Finviz.com.

a screenshot of finviz's stock screener, showing various criteria and filters that can be used to screen for stocks.

Investing in the stock market can be complex and time-consuming, especially when researching and analyzing potential investments. One tool that can help simplify the process is Finviz, a browser-based stock screener and research platform. With Finviz, you can screen stocks based on specific criteria, such as market capitalization, price-to-earnings ratio, and dividend yield, among others.

Stock screening is the process of filtering stocks based on certain criteria that you set with the goal of arriving at a much shorter and more manageable list of potential investments. Finviz offers a number of pre-defined screeners that you can use, or you can create your own custom screeners based on your specific investment goals and criteria.

To get started with Finviz, you'll need to sign up for a subscription. Finviz offers only one subscription level, which includes access to all of the site's features. Subscribers also have the ability to share up to 10 articles per month with friends and family who are not subscribers.

Once you have a subscription, you can start using Finviz's screeners to filter stocks based on your criteria. For example, you might use the screener to find stocks with high growth and high margins, or stocks that are undervalued relative to their peers.

In this article, we take a look at 11 high-growth, high-margin stocks to buy. These stocks have shown strong growth and profitability over the past year and are expected to continue to perform well in the future. If you want to see more high-growth, high-margin stocks to buy, you can use Finviz to screen for them.

Another feature of Finviz is the ability to analyze individual stocks. For example, you can use Finviz to analyze the relative strength of a particular stock, such as Twitter (TWTR). By analyzing the stock's relative strength, you can get a sense of whether the stock is likely to outperform or underperform its peers.

One interesting use case for Finviz is analyzing the performance of marijuana stocks. The performance of these stocks is often subject to what is happening in the cannabis industry, which is rapidly evolving. However, by using Finviz to analyze trends and patterns in the industry, you can get a sense of which marijuana stocks are likely to perform well in the future.

In addition to its stock screening and analysis tools, Finviz also offers a number of other features, such as news and market data. For example, you can use Finviz to track the performance of major market indices, such as the S&P 500 or Dow Jones Industrial Average.

If you're interested in using Finviz, one way to get started is by using Python to scrape the data from the site. Python is a popular programming language for data analysis and can be used to automate the process of scraping data from websites.

To get started with Python and Finviz, you'll need to install the necessary libraries and modules. One popular library for web scraping in Python is Beautiful Soup, which allows you to extract data from HTML and XML files.

Once you have Beautiful Soup installed, you can use it to scrape data from Finviz. For example, you might use Beautiful Soup to extract data on the top-performing stocks from Finviz's screener.

Overall, Finviz is a powerful tool for investors looking to streamline their stock analysis process. With its stock screening and analysis tools, as well as its news and market data features, Finviz is a one-stop shop for investors looking to stay informed and make smart investment decisions.

Ticker: TWTR

Labels:
finvizscreenersstock analysispythondata scrapinghigh-growthhigh-margin stocksrelative strengthmarijuana stocksmarket databeautiful soup

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