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

Teo, Teck Wan (2024) AI-Assisted value investment in Malaysian stock market with generative AI. Final Year Project, UTAR.

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Abstract

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.

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