Developing a Python program for collecting stock data from webpages in English

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...

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Bibliographic Details
Main Author: Budiman, Alvin Putera
Other Authors: Wang Lipo
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176803
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Institution: Nanyang Technological University
Language: English
Description
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.