FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications

By Thanos Konstantinidis, Giorgos Iacovides, Mingxue Xu, Tony G. Constantinides, Danilo Mandic

Published 2024-03-18

Everscope rating

1375.4

Relevance to quantitative trading

9 / 10

Implementation complexity

6 / 10

Reproducibility

3 / 5

About this paper

Methodology: FinLlama. Problem types: Classification, Natural Language Processing, Sentiment Analysis.

arXiv:2403.12285 · Paper rankings

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