Copertina

Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Alamu, Opeyemi Sheu, Siam, Md Kamrul
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Statistical Finance Machine Learning Computational Finance
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

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

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

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

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

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

Multimodal Stock Price Prediction
di: Karadaş, Furkan, et al.
Pubblicazione: (2025)

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

Comparative Study of Long Short-Term Memory (LSTM) and Quantum Long Short-Term Memory (QLSTM): Prediction of Stock Market Movement
di: Mahmood, Tariq, et al.
Pubblicazione: (2024)

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

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

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

News Sentiment Embeddings for Stock Price Forecasting
di: Qayyum, Ayaan
Pubblicazione: (2025)

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

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

Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
di: Kandimalla, Eshwar Sai, et al.
Pubblicazione: (2026)

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

A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity
di: Li, Huiyu, et al.
Pubblicazione: (2024)

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

Vector-Quantized Discrete Latent Factors Meet Financial Priors: Dynamic Cross-Sectional Stock Ranking Prediction for Portfolio Construction
di: Kim, Namhyoung, et al.
Pubblicazione: (2026)

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

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

Predictive Accuracy versus Interpretability in Energy Markets: A Copula-Enhanced TVP-SVAR Analysis
di: Pokou, Fredy, et al.
Pubblicazione: (2026)

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

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

Comparative Study of Bitcoin Price Prediction
di: Mohammadjafari, Ali
Pubblicazione: (2024)

Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
di: Wu, Yuanhong, et al.
Pubblicazione: (2026)

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

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

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

A Deep Learning Approach to Predict the Fall [of Price] of Cryptocurrency Long Before its Actual Fall
di: Meem, Anika Tahsin
Pubblicazione: (2024)

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

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

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

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

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

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