Find Undervalued Stocks with R:
💰A Step-by-Step Guide Want to find hidden gems in the stock market without needing an advanced finance degree? While Wall Street quants use complex engineering models, we can build a powerful, functional stock screener using **R** to do 80% of the heavy lifting. Disclaimer: The goal of this article is to teach data analysis with R. This is not financial advice. Always do your own research before investing. In this post, we will: Scrape fundamental data for thousands of stocks. Clean the data and handle outliers. Build a "Relative Valuation" model to score stocks. Screen for top prospects. Visualize the historical price action of our targets. 🛠️ Prerequisites You need R installed. We will rely heavily on **data.table** for fast data manipulation, **ggplot2** for visualization, and a few others for financial metrics. Run this once to install needed packages: R Code: Install Packages install.packages(c("da...