MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models

By Yurii Kvasiuk, Tianyi Li, Owen Colegrove, Moritz Münchmeyer

Published 2026-05-21

Everscope rating

1396.2

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

4 / 5

About this paper

Methodology: MadEvolve. Problem types: Optimization, Algorithmic Execution, Portfolio Optimization, Time Series Forecasting, Feature Engineering, Market Making.

arXiv:2605.23007 · Code · Paper rankings

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