A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective

By Olivia Zhang, Zhilin Zhang

Published 2026-04-10

Everscope rating

1273.5

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

2 / 5

About this paper

Methodology: Systematic Literature Review. Problem types: Time Series Forecasting, Natural Language Processing, Classification, Sentiment Analysis, Portfolio Optimization, Risk Management, Algorithmic Trading, Zero-shot Learning, Few-shot Learning, Multi-task Learning, Graph Learning.

arXiv:2605.05211 · Paper rankings

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