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Stock Price Prediction

Stock Price Prediction is the task of forecasting future stock prices based on historical data and various market indicators. It involves using statistical models and machine learning algorithms to analyze financial data and make predictions about the future performance of a stock. The goal of stock price prediction is to help investors make informed investment decisions by providing a forecast of future stock prices.

Papers

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Showing 1–50 of 137 papers

TitleStatusHype
Stock Price Prediction via Discovering Multi-Frequency Trading PatternsCode4
Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price PredictionCode2
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for FinanceCode2
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing ModelCode2
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRUCode1
Review of deep learning models for crypto price prediction: implementation and evaluationCode1
ResNLS: An Improved Model for Stock Price ForecastingCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price PredictionCode1
A Multifactor Analysis Model for Stock Market PredictionCode1
Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode DecompositionCode1
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series PredictionCode1
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock ReturnsCode1
HYPHEN: Hyperbolic Hawkes Attention For Text StreamsCode1
S&P 500 Stock Price Prediction Using Technical, Fundamental and Text DataCode1
Trade the Event: Corporate Events Detection for News-Based Event-Driven TradingCode1
Stock price prediction using Generative Adversarial NetworksCode1
Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning ModelsCode1
Deep Stock PredictionsCode1
A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer—0
HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting—0
Explainable-AI powered stock price prediction using time series transformers: A Case Study on BIST100—0
Gradient Boosting Decision Tree with LSTM for Investment Prediction—0
VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis—0
From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling—0
Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy—0
FinTextSim: Enhancing Financial Text Analysis with BERTopic—0
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model—0
Won: Establishing Best Practices for Korean Financial NLP—0
Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market—0
Multi-Agent Stock Prediction Systems: Machine Learning Models, Simulations, and Real-Time Trading Strategies—0
Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis—0
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series—0
A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data—0
Multimodal Stock Price Prediction—0
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting—0
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading—0
GRUvader: Sentiment-Informed Stock Market Prediction—0
Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks—0
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images—0
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction—0
News-Driven Stock Price Forecasting in Indian Markets: A Comparative Study of Advanced Deep Learning Models—0
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles—0
Stock Price Prediction and Traditional Models: An Approach to Achieve Short-, Medium- and Long-Term Goals—0
Transfer learning for financial data predictions: a systematic review—0
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction—0
SETN: Stock Embedding Enhanced with Textual and Network Information—0
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price PredictionCode0
Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning—0
A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity—0
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