Cover Image

PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liang, Bohan, Chen, Zijian, Jia, Qi, Zhang, Kaiwei, Ji, Kaiyuan, Zhai, Guangtao
Format:	Preprint
Published:	2025
Subjects:	Statistical Finance Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction
by: Wang, Shengkun, 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
by: Karadaş, Furkan, et al.
Published: (2025)

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

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

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

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

News Sentiment Embeddings for Stock Price Forecasting
by: Qayyum, Ayaan
Published: (2025)

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)

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

Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
by: Sonani, Meet Satishbhai, et al.
Published: (2025)

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

Dynamic Factor Analysis of Price Movements in the Philippine Stock Exchange
by: Lim, Brian Godwin, et al.
Published: (2025)

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

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

A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
by: Pei, Zhiyuan, et al.
Published: (2024)

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

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective
by: Zhang, Olivia, et al.
Published: (2026)

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

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

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

Comparative Study of Bitcoin Price Prediction
by: Mohammadjafari, Ali
Published: (2024)

Minimal Batch Adaptive Learning Policy Engine for Real-Time Mid-Price Forecasting in High-Frequency Trading
by: Ntakaris, Adamantios, et al.
Published: (2024)

LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
by: Zhu, Peng, et al.
Published: (2024)

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)

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

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)

A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
by: Din, Riaz Ud, et al.
Published: (2024)

Corporate Fundamentals and Stock Price Co-Movement
by: Wang, Lyuhong, et al.
Published: (2024)

Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization
by: Tumpa, Shamima Nasrin, et al.
Published: (2024)

Prediction Of Cryptocurrency Prices Using LSTM, SVM And Polynomial Regression
by: Giffary, Novan Fauzi Al, et al.
Published: (2024)

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

Adaptive Temporal Fusion Transformers for Cryptocurrency Price Prediction
by: Peik, Arash, et al.
Published: (2025)

Integration of Wavelet Transform Convolution and Channel Attention with LSTM for Stock Price Prediction based Portfolio Allocation
by: Guo, Junjie
Published: (2025)

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)