MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models
Researchers have developed MadEvolve, a framework inspired by DeepMind's Alpha-Evolve, to optimize trading systems using large language models. This approach has demonstrated significant improvements in quantitative finance tasks, including evolving feature sets for signal generation and optimizing trading strategy components. MadEvolve was compared against other agentic search methods like Claude Code, showing strong support for AI-driven evolutionary algorithms in algorithmic trading. AI
IMPACT This framework could enhance algorithmic trading strategies by leveraging AI for evolutionary optimization.