AI-Powered Multi-Agent Trading

​Description:
In an era where markets move faster than ever, HedgeAgents introduces a novel fusion of classical machine learning and large language models (LLMs) to power a multi-agent trading system. At the heart of this system is a central Fund Manager Agent that coordinates with a network of specialized agents—each trained on distinct asset classes like equities, crypto, commodities, or fixed income.

​Each agent leverages classical machine learning for predictive modeling, while LLMs interpret financial news, earnings calls, and macroeconomic signals to inject real-time context into trading decisions.

​This session is designed for retail traders seeking smarter signals and mid-sized funds exploring how AI can augment human insight.

​Speaker:
George Chkadua is a mathematician and AI practitioner, founder of MLbee—a platform that powers predictive risk modeling for financial institutions. With a background in mathematics and a track record applying machine learning to real-world finance, George now focuses on building autonomous trading systems that combine mathematical rigor with the latest in AI. His work bridges deep tech and investment strategy to bring the future of finance within reach.

​Location:
Rooms Hotel Tbilisi, Central Room -1 floor (The main entrance, Chovelidze street side)