ChatGPT in Systematic Investing: Enhancing Risk-Adjusted Returns with LLMs

By Nikolas Anic, Andrea Barbon, Ralf Seiz, Carlo Zarattini

Published 2025-10-30

Everscope rating

1744.9

Relevance to quantitative trading

9 / 10

Implementation complexity

5 / 10

Reproducibility

2 / 5

About this paper

Methodology: LLM-Enhanced Cross-Sectional Momentum Strategy. Problem types: Portfolio Optimization, Natural Language Processing, Ranking, Zero-shot Learning, Risk Management.

arXiv:2510.26228 · Paper rankings

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