Automating and Optimizing Financial Signal Discovery with Multi-Agent Systems | NVIDIA Technical Blog

This post details the application of agentic AI systems, orchestrated by the NVIDIA NeMo Agent Toolkit, for automating financial signal discovery. It describes a system of three specialized agents (Signal Agent, Code Agent, Evaluation Agent) that work in a continuous loop to identify, code, and backtest financial signals. The post highlights the use of Nemotron models for hypothesis generation and tool-calling, the structured library of mathematical operators provided to the Signal Agent, and the config-driven workflow management enabled by the NeMo Agent Toolkit for iterative refinement and optimization of signals based on metrics like Rank IC.