Cover Image

Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Koa, Kelvin J. L., Ma, Yunshan, Ng, Ritchie, Chua, Tat-Seng
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language Statistical Finance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes
by: Koa, Kelvin J. L., et al.
Published: (2024)

Reasoning on Time-Series for Financial Technical Analysis
by: Koa, Kelvin J. L., et al.
Published: (2025)

Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
by: Liao, Pei-Jun, et al.
Published: (2026)

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

PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction
by: Liang, Bohan, et al.
Published: (2025)

A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity
by: Li, Huiyu, 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)

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

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

AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction
by: Wang, Shengkun, 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)

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

How to Choose a Threshold for an Evaluation Metric for Large Language Models
by: Sarmah, Bhaskarjit, et al.
Published: (2024)

Multi-Agent Stock Prediction Systems: Machine Learning Models, Simulations, and Real-Time Trading Strategies
by: Dave, Daksh, et al.
Published: (2025)

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

Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
by: Xiao, Jue, et al.
Published: (2024)

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

RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction
by: Gu, Jingyi, et al.
Published: (2024)

Distilling Analysis from Generative Models for Investment Decisions
by: Chen, Chung-Chi, et al.
Published: (2024)

A Study on Stock Forecasting Using Deep Learning and Statistical Models
by: Gupta, Himanshu, et al.
Published: (2024)

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
by: Yang, Hongyang, et al.
Published: (2024)

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

From Index to Equity: Pre-Training Transformers for Stock Return Prediction
by: Coolsaet, Marie Soehl, et al.
Published: (2026)

Predictive AI with External Knowledge Infusion: Datasets and Benchmarks for Stock Markets
by: Dukkipati, Ambedkar, et al.
Published: (2025)

SARF: Enhancing Stock Market Prediction with Sentiment-Augmented Random Forest
by: Talazadeh, Saber, et al.
Published: (2024)

Cross-Lingual News Event Correlation for Stock Market Trend Prediction
by: Arshad, Sahar, et al.
Published: (2024)

Multimodal Stock Price Prediction
by: Karadaş, Furkan, et al.
Published: (2025)

BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges
by: Simonyan, Aleksandr
Published: (2024)

Explainable Federated Learning for U.S. State-Level Financial Distress Modeling
by: Carta, Lorenzo, et al.
Published: (2025)

FinGPT: Open-Source Financial Large Language Models
by: Yang, Hongyang, et al.
Published: (2023)

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
by: Omranpour, Soroush, et al.
Published: (2024)

Boosting the Accuracy of Stock Market Prediction via Multi-Layer Hybrid MTL Structure
by: Hong, Yuxi
Published: (2025)

Application of Machine Learning in Stock Market Forecasting: A Case Study of Disney Stock
by: Huang, Dengxin
Published: (2023)

Why Regression? Binary Encoding Classification Brings Confidence to Stock Market Index Price Prediction
by: Jiang, Junzhe, et al.
Published: (2025)

Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
by: Lee, Hyunwoo, et al.
Published: (2025)

News-Driven Stock Price Forecasting in Indian Markets: A Comparative Study of Advanced Deep Learning Models
by: Attaluri, Kaushal, et al.
Published: (2024)

Uni-FinLLM: A Unified Multimodal Large Language Model with Modular Task Heads for Micro-Level Stock Prediction and Macro-Level Systemic Risk Assessment
by: Zhang, Gongao, et al.
Published: (2026)

FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction
by: Duan, Yitong, et al.
Published: (2025)

BASIR: Budget-Assisted Sectoral Impact Ranking -- A Dataset for Sector Identification and Performance Prediction Using Language Models
by: Ghosh, Sohom, et al.
Published: (2025)

Deep Learning vs. Black-Scholes: Option Pricing Performance on Brazilian Petrobras Stocks
by: Gueiros, Joao Felipe, et al.
Published: (2025)