QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model

By Saizhuo Wang, Hang Yuan, Lionel M. Ni, Jian Guo

Published 2024-02-06

Everscope rating

1334.4

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: Two-Layer Self-Improving Framework. Problem types: Time Series Forecasting, Financial Signal Generation, Reinforcement Learning.

arXiv:2402.03755 · Paper rankings

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