Trading-Agent.

Trading-Agent is an AI and automation project focused on trading workflows, market analysis, and decision support. The idea behind the project is to explore how an agent-style system can process information, follow structured logic, and assist users in making more informed trading decisions. I worked on the concept from a systems perspective, thinking about inputs, analysis, automation, and how the agent could support a user without replacing their judgment.

This project reflects my interest in combining AI with practical, high-signal workflows. Trading requires speed, structure, and discipline, so the product direction needs to be more than a simple chatbot. It needs to organize information, reduce noise, and help the user think more clearly. Trading-Agent shows my ability to explore AI systems that are not just conversational, but task-oriented and designed around real decision-making processes.