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AI-Assisted value investment in Malaysian stock market with generative AI

This project is an analysis-assisted tool for the stock market, offering human-like investment advice along with supportive information to validate the recommendations for users. The prediction tool in the stock market, which relies on quantitative data such as stock prices, volume, dividends, etc.,...

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Bibliographic Details
Main Author: Teo, Teck Wan
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
HG Finance
T Technology (General)
TD Environmental technology. Sanitary engineering
Online Access:http://eprints.utar.edu.my/6682/1/fyp_CS_2024_TTW.pdf
http://eprints.utar.edu.my/6682/
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spelling my-utar-eprints.66822024-10-23T06:46:36Z AI-Assisted value investment in Malaysian stock market with generative AI Teo, Teck Wan HG Finance T Technology (General) TD Environmental technology. Sanitary engineering This project is an analysis-assisted tool for the stock market, offering human-like investment advice along with supportive information to validate the recommendations for users. The prediction tool in the stock market, which relies on quantitative data such as stock prices, volume, dividends, etc., is already well-established in the industry for forecasting stock prices. However, the approach to leveraging qualitative data for stock market analysis is still in its nascent stages. With the recent trends in AI, products like ChatGPT, Google Gemini, and Claude 3 are significantly influenced user interactions and decision-making processes. Given the increasing recognition of its capabilities across various industries, our team has chosen to harness ChatGPT, a leading AI product, to analyse qualitative data. We have customized ChatGPT to better suit the financial sector, enabling it to provide numerical scores along with logical, fact-based justifications for the short, medium, and long-term prospects of companies. This makes our tool exceptionally valuable to a wide range of users, from stock market professionals to everyday investors. The benefits of using our tool are substantial, including significant time and cost savings. For example, novice investors can save on the costs and time typically spent on stock market courses and expert consultations, while professionals can streamline their fundamental analysis of companies and market trends. Thus, this project introduces an alternative method to enhance investment decision-making. 2024-01 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6682/1/fyp_CS_2024_TTW.pdf Teo, Teck Wan (2024) AI-Assisted value investment in Malaysian stock market with generative AI. Final Year Project, UTAR. http://eprints.utar.edu.my/6682/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic HG Finance
T Technology (General)
TD Environmental technology. Sanitary engineering
spellingShingle HG Finance
T Technology (General)
TD Environmental technology. Sanitary engineering
Teo, Teck Wan
AI-Assisted value investment in Malaysian stock market with generative AI
description This project is an analysis-assisted tool for the stock market, offering human-like investment advice along with supportive information to validate the recommendations for users. The prediction tool in the stock market, which relies on quantitative data such as stock prices, volume, dividends, etc., is already well-established in the industry for forecasting stock prices. However, the approach to leveraging qualitative data for stock market analysis is still in its nascent stages. With the recent trends in AI, products like ChatGPT, Google Gemini, and Claude 3 are significantly influenced user interactions and decision-making processes. Given the increasing recognition of its capabilities across various industries, our team has chosen to harness ChatGPT, a leading AI product, to analyse qualitative data. We have customized ChatGPT to better suit the financial sector, enabling it to provide numerical scores along with logical, fact-based justifications for the short, medium, and long-term prospects of companies. This makes our tool exceptionally valuable to a wide range of users, from stock market professionals to everyday investors. The benefits of using our tool are substantial, including significant time and cost savings. For example, novice investors can save on the costs and time typically spent on stock market courses and expert consultations, while professionals can streamline their fundamental analysis of companies and market trends. Thus, this project introduces an alternative method to enhance investment decision-making.
format Final Year Project / Dissertation / Thesis
author Teo, Teck Wan
author_facet Teo, Teck Wan
author_sort Teo, Teck Wan
title AI-Assisted value investment in Malaysian stock market with generative AI
title_short AI-Assisted value investment in Malaysian stock market with generative AI
title_full AI-Assisted value investment in Malaysian stock market with generative AI
title_fullStr AI-Assisted value investment in Malaysian stock market with generative AI
title_full_unstemmed AI-Assisted value investment in Malaysian stock market with generative AI
title_sort ai-assisted value investment in malaysian stock market with generative ai
publishDate 2024
url http://eprints.utar.edu.my/6682/1/fyp_CS_2024_TTW.pdf
http://eprints.utar.edu.my/6682/
_version_ 1814061984457424896
score 13.211869

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