2 papers
cs.AI2026
Toward Expert Investment Teams:A Multi-Agent LLM System with Fine-Grained Trading Tasks
Kunihiro Miyazaki, Takanobu Kawahara, Stephen Roberts +1
The advancement of large language models (LLMs) has accelerated the development of autonomous financial trading systems. While mainstream approaches deploy multi-agent systems mimi…
q-fin.TR2026
DeePM: Regime-Robust Deep Learning for Systematic Macro Portfolio Management
Kieran Wood, Stephen J. Roberts, Stefan Zohren
We propose DeePM (Deep Portfolio Manager), a structured deep-learning macro portfolio manager trained end-to-end to maximize a robust, risk-adjusted utility. DeePM addresses three…