Cover Image

News Sentiment Embeddings for Stock Price Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Qayyum, Ayaan
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

Sub-City Real Estate Price Index Forecasting at Weekly Horizons Using Satellite Radar and News Sentiment
by: Arat, Baris, et al.
Published: (2026)

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

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

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

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

A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
by: Din, Riaz Ud, 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)

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)

Regression and Forecasting of U.S. Stock Returns Based on LSTM
by: Zhou, Shicheng, 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)

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

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

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

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

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)

Mamba Outpaces Reformer in Stock Prediction with Sentiments from Top Ten LLMs
by: Kadiyala, Lokesh Antony, et al.
Published: (2025)

Applying News and Media Sentiment Analysis for Generating Forex Trading Signals
by: Olaiyapo, Oluwafemi F
Published: (2024)

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

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

Online High-Frequency Trading Stock Forecasting with Automated Feature Clustering and Radial Basis Function Neural Networks
by: Ntakaris, Adamantios, et al.
Published: (2024)

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

Forecasting Electricity Prices
by: Maciejowska, Katarzyna, et al.
Published: (2022)

Bitcoin Price Forecasting Based on Hybrid Variational Mode Decomposition and Long Short Term Memory Network
by: Boadi, Emmanuel
Published: (2025)

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

CRISIS ALERT:Forecasting Stock Market Crisis Events Using Machine Learning Methods
by: Chen, Yue, et al.
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)

TCGPN: Temporal-Correlation Graph Pre-trained Network for Stock Forecasting
by: Yan, Wenbo, et al.
Published: (2024)

Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting
by: Peik, Arash, et al.
Published: (2024)

An End-to-End Structure with Novel Position Mechanism and Improved EMD for Stock Forecasting
by: Li, Chufeng, et al.
Published: (2024)

Stock Volume Forecasting with Advanced Information by Conditional Variational Auto-Encoder
by: Yang, Parley R, et al.
Published: (2024)

Forecasting Nigerian Equity Stock Returns Using Long Short-Term Memory Technique
by: Ojo, Adebola K., et al.
Published: (2025)

Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting
by: Sartipi, Timothée Hornek Amir, et al.
Published: (2025)

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

Forecasting of Bitcoin Prices Using Hashrate Features: Wavelet and Deep Stacking Approach
by: Mousa, Ramin, et al.
Published: (2025)

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

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
by: Zhao, Lifan, et al.
Published: (2023)