TradeMemory An AI-Powered Persistence Layer for Disciplined Trading

TradeMemory is a learning project developing an intelligent trading journal using a tech stack of MERN, Groq (Qwen-3), and Hindsight Cloud Vector SDK. By combining Large Language Models (LLMs) with vector databases, the system creates a persistence layer for context. It stores trade details alongside the reasoning and emotions behind decisions. The project experiments with how AI memory can enhance the way retail traders review past experiences to foster more disciplined trading habits over time.