A Survey of Large Language Models in Finance (FinLLMs)

By Jean Lee, Nicholas Stevens, Soyeon Caren Han, Minseok Song

Published 2024-02-04

Everscope rating

1355.9

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

4 / 5

About this paper

Methodology: Survey and Analysis. Problem types: Natural Language Processing, Sentiment Analysis, Text Classification, Named Entity Recognition, Question Answering, Stock Movement Prediction, Text Summarization.

arXiv:2402.02315 · Code · Paper rankings

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