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Python Stock Screener & Sentiment Analysis by As Win is a document available to read on EtoBox.

This document outlines a method for creating a Python stock screener that identifies undervalued stocks using the finvizfinance library and performs sentiment analysis on financial news articles using the FinBERT model. It details the installation of necessary libraries, the creation of functions to filter stocks based on specific financial metrics, and the extraction of news articles to gauge market sentiment. The final output includes a list of undervalued stocks and sentiment data for each stock, which c

Author

As Win

Language

EN