Developing a Python program for value investing

This research aims to bridge traditional stock valuation methods with modern machine learning techniques to predict the intrinsic value of stocks. Emphasizing on fundamental analysis, the objective is to develop a scalable Python-based machine learning model that helps to identify undervalued stocks...

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Main Author: Liu, Mojia
Other Authors: Wang Lipo
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176920
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1769202024-05-24T15:43:59Z Developing a Python program for value investing Liu, Mojia Wang Lipo School of Electrical and Electronic Engineering ELPWang@ntu.edu.sg Business and Management Computer and Information Science Engineering Intrinsic value Stock This research aims to bridge traditional stock valuation methods with modern machine learning techniques to predict the intrinsic value of stocks. Emphasizing on fundamental analysis, the objective is to develop a scalable Python-based machine learning model that helps to identify undervalued stocks across various market sectors, providing investors with a tool for informed decision-making, thereby aligning financial insights with the capabilities of advanced analytics. Bachelor's degree 2024-05-23T06:23:02Z 2024-05-23T06:23:02Z 2024 Final Year Project (FYP) Liu, M. (2024). Developing a Python program for value investing. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176920 https://hdl.handle.net/10356/176920 en A3230-231 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Business and Management
Computer and Information Science
Engineering
Intrinsic value
Stock
spellingShingle Business and Management
Computer and Information Science
Engineering
Intrinsic value
Stock
Liu, Mojia
Developing a Python program for value investing
description This research aims to bridge traditional stock valuation methods with modern machine learning techniques to predict the intrinsic value of stocks. Emphasizing on fundamental analysis, the objective is to develop a scalable Python-based machine learning model that helps to identify undervalued stocks across various market sectors, providing investors with a tool for informed decision-making, thereby aligning financial insights with the capabilities of advanced analytics.
author2 Wang Lipo
author_facet Wang Lipo
Liu, Mojia
format Final Year Project
author Liu, Mojia
author_sort Liu, Mojia
title Developing a Python program for value investing
title_short Developing a Python program for value investing
title_full Developing a Python program for value investing
title_fullStr Developing a Python program for value investing
title_full_unstemmed Developing a Python program for value investing
title_sort developing a python program for value investing
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176920
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