
A cloud-based chat agent designed to help retail investors build personalized portfolios and understand key investment principles based on their risk tolerance, budget, and preferences. Built using Python (backend) and React (frontend), the system leverages Google’s ADK for a multi-agent architecture and Neo4j for memory and knowledge graph management. Deployed entirely on AWS, including PostgreSQL for data storage and Route 53 for domain routing, the platform offers an intelligent, scalable interface that combines financial expertise with conversational AI.
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For attribution, please cite this work as:
Bakr, Mohamed, Preethi Raju, Phillip Hoang, Mohamed Bakr, Sameer Karim,
and Gilbert Wong. 2025. “Quantbot.” July 1. https://mohdbakr.com/projects/quantbot/.