Over the past year, AI large language models (LLMs) have rapidly evolved from simply generating text to taking independent actions and using complex tools. However, a key question remains: can these AI agents actually make profitable decisions in real-world, unpredictable environments? To test this, the Artificial Intelligence Evaluation Lab (AIEL) at HKU Business School, led by Professor Jack Jiang, launched Agentic Trader, through which they evaluated the autonomous trading capabilities of LLM agents in live foreign exchange markets.