Cover Image

Multi-Dimensional Behavioral Evaluation of Agentic Stock Prediction Systems Using Large Language Model Judges with Closed-Loop Reinforcement Learning Feedback

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ridhawi, Mohammad Al, Ali, Mahtab Haj, Osman, Hussein Al
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language Computational Finance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control
by: Ridhawi, Mohammad Al, et al.
Published: (2026)

Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis
by: Ridhawi, Mohammad Al, et al.
Published: (2026)

Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models
by: Elahi, Ali, et al.
Published: (2024)

Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
by: Zhu, Zhuohang, et al.
Published: (2025)

Multi-Horizon Echo State Network Prediction of Intraday Stock Returns
by: Ballarin, Giovanni, et al.
Published: (2025)

Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow
by: Guo, Tian, et al.
Published: (2024)

StockGenChaR: A Study on the Evaluation of Large Vision-Language Models on Stock Chart Captioning
by: Qiu, Le, et al.
Published: (2024)

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, et al.
Published: (2024)

AlphaQuanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading
by: Deng, Zheye, et al.
Published: (2025)

Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models
by: Lopez-Lira, Alejandro, et al.
Published: (2023)

BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights
by: Zhu, Enmin, et al.
Published: (2024)

MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)

Learning Explainable Stock Predictions with Tweets Using Mixture of Experts
by: Xu, Wenyan, et al.
Published: (2025)

From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset
by: Arno, Henri, et al.
Published: (2024)

Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models
by: Koa, Kelvin J. L., et al.
Published: (2024)

Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price Prediction
by: Mehrabian, Ali, et al.
Published: (2024)

Exploring the Synergy of Quantitative Factors and Newsflow Representations from Large Language Models for Stock Return Prediction
by: Guo, Tian, et al.
Published: (2025)

MSMF: Multi-Scale Multi-Modal Fusion for Enhanced Stock Market Prediction
by: Qin, Jiahao
Published: (2024)

S$^{3}$G: Stock State Space Graph for Enhanced Stock Trend Prediction
by: Lu, Yao, et al.
Published: (2026)

Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

From Feedback Loops to Policy Updates: Reinforcement Fine-Tuning for LLM-Based Alpha Factor Discovery
by: Zhang, Lingzhe, et al.
Published: (2026)

Aligning LLMs with Human Instructions and Stock Market Feedback in Financial Sentiment Analysis
by: Zhao, Zijie, et al.
Published: (2024)

Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market
by: Khubiev, Kasymkhan, et al.
Published: (2025)

Impact of Major Health Events on Pharmaceutical Stocks: A Comprehensive Analysis Using Macroeconomic and Market Indicators
by: Maleki, Morteza, et al.
Published: (2024)

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
by: Zhang, Haohan, et al.
Published: (2023)

StockGPT: A GenAI Model for Stock Prediction and Trading
by: Mai, Dat
Published: (2024)

DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models
by: Daiya, Divyanshu, et al.
Published: (2024)

Revisiting Cont's Stylized Facts for Modern Stock Markets
by: Ratliff-Crain, Ethan, et al.
Published: (2023)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction
by: Hu, Yifan, et al.
Published: (2025)

SimICD: A Closed-Loop Simulation Framework For ICD Therapy
by: Lydon, Hannah, et al.
Published: (2025)

Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
by: Ni, Haowei, et al.
Published: (2024)

Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals
by: Alamu, Opeyemi Sheu, et al.
Published: (2024)

Predicting Stock Price Movement as an Image Classification Problem
by: Steinbacher, Matej
Published: (2023)

An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model
by: Sarkar, Anindya, et al.
Published: (2025)

Comparing Different Transformer Model Structures for Stock Prediction
by: Chen, Qizhao
Published: (2025)

A Closed-Loop Multi-Agent Framework for Aerodynamics-Aware Automotive Styling Design
by: Jin, Xinyu, et al.
Published: (2025)

Exploiting Supply Chain Interdependencies for Stock Return Prediction: A Full-State Graph Convolutional LSTM
by: Liu, Chang
Published: (2023)

Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
by: Siala, Walid, et al.
Published: (2026)

Stock Price Prediction Using Triple Barrier Labeling and Raw OHLCV Data: Evidence from Korean Markets
by: Kang, Sungwoo
Published: (2025)

AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction
by: Wang, Shengkun, et al.
Published: (2024)