Designing Agentic AI-Based Screening for Portfolio Investment

By Mehmet Caner, Agostino Capponi, Nathan Sun, Jonathan Y. Tan

Published 2026-08-13

Everscope rating

1157.7

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Agentic AI Multi-Agent Screening with High-Dimensional Precision Matrix Estimation. Problem types: Portfolio Optimization, Natural Language Processing, Classification, Optimization, Zero-Shot Learning.

arXiv:2603.23300 · Paper rankings

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