Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis

By Mohammad Al Ridhawi, Mahtab Haj Ali, Hussein Al Osman

Published 2026-05-14

Everscope rating

1060.4

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Node Transformer with BERT Sentiment Integration. Problem types: Time Series Forecasting, Regression, Natural Language Processing, Graph Learning, Classification, Portfolio Optimization, Risk Management.

arXiv:2603.05917 · Paper rankings

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