| Summary: | This project aims to develop a Python program capable of efficiently collecting stock data
from various webpages in English. The program utilizes web scraping techniques to extract
essential information from stock websites, focusing primarily on retrieving current stock
values and key metrics necessary for conducting discounted cash flow (DCF) analysis. The
project involves several key components such as web scraping module, data extraction, DCF
calculation, undervalued stock identification, and User Interface. Overall, this project aims to
provide a valuable tool for investors seeking to analyse stock data and identify undervalued
stocks in the market. By automating the data collection process and leveraging advanced
analysis techniques, the Python program offers a systematic approach to stock valuation and
investment decision-making.
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