FinSMART: Financial Sentiment Analysis for Algorithmic Trading through Market-Aligned Reinforcement Learning

By Giorgos Iacovides, Wuyang Zhou, Danilo Mandic

Published 2026-07-30

Everscope rating

1451.4

Relevance to quantitative trading

9 / 10

Implementation complexity

6 / 10

Reproducibility

3 / 5

About this paper

Methodology: FinSMART (Financial Sentiment analysis via Market-Aligned Reinforcement Learning Training). Problem types: Natural Language Processing, Reinforcement Learning, Classification, Portfolio Optimization, Algorithmic Execution.

arXiv:2607.28127 · Paper rankings

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