ChatGPT + quant finance for wealth management (robo advisor)

• Main Author: Unnikrishnan, Ananya
• Other Authors: Ng Wee Keong
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science
• Online Access: https://hdl.handle.net/10356/175136
• Institution: Nanyang Technological University

Within the constantly evolving industry of wealth management, lies several inefficiencies that fail to meet the needs of the users. WealthWise was proposed as a solution that aims to target those inefficiencies and redefine the wealth management experience through the integration of Large Language Models (LLMs). At the heart of WealthWise lies two main robo-advisors, “WealthWiseAdvisor” and “WealthWiseMentor”, that have been built to provide personalized guidance and educational support tailored to each user’s unique needs. WealthWiseAdvisor focuses on offering personalized advice and providing immediate responses to user queries. It has the ability to access real time financial data and information that allows it to deliver comprehensive analysis and tailored recommendations, ensuring that users receive advice that align with their financial goals. On the other hand, WealthWiseMentor delivers one-on-one guidance to users to improve their financial literacy through customized teaching sessions and quizzes. Other features on WealthWise include automated portfolio optimization for passive investors, a Learn Portfolio Construction feature that aims to provide practical learning experience to users as they build portfolios based on different risk profiles, financial goal tracking, and more. In essence, WealthWise aims to address the gaps in current wealth management platforms and transform the wealth management experience by setting a new standard for personalization, education and user engagement.