Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control

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

Published 2026-04-02

Everscope rating

1061.5

Relevance to quantitative trading

8 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Adaptive Regime-Aware Prediction Framework (AE-NodeFormer + SAC). Problem types: Time Series Forecasting, Anomaly Detection, Reinforcement Learning, Graph Learning, Regression, Classification, Optimization.

arXiv:2603.19136 · Paper rankings

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