Can Blindfolded LLMs Still Trade? An Anonymization-First Framework for Portfolio Optimization

By Joohyoung Jeon, Hongchul Lee

Published 2026-03-18

Everscope rating

1581.7

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

4 / 5

About this paper

Methodology: BlindTrade. Problem types: Portfolio Optimization, Reinforcement Learning, Graph Learning, Ranking, Density Estimation, Risk Management, Natural Language Processing.

arXiv:2603.17692 · Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.