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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
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing ModelCode2
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for FinanceCode2
Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price PredictionCode2
Deep Stock PredictionsCode1
Review of deep learning models for crypto price prediction: implementation and evaluationCode1
Trade the Event: Corporate Events Detection for News-Based Event-Driven TradingCode1
S&P 500 Stock Price Prediction Using Technical, Fundamental and Text DataCode1
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRUCode1
Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode DecompositionCode1
Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning ModelsCode1
A Multifactor Analysis Model for Stock Market PredictionCode1
HYPHEN: Hyperbolic Hawkes Attention For Text StreamsCode1
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series PredictionCode1
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
ResNLS: An Improved Model for Stock Price ForecastingCode1
Stock price prediction using Generative Adversarial NetworksCode1
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock ReturnsCode1
Debunking Sentiment Lexicons: A Case of Domain-Specific Sentiment Classification for Croatian—0
Risk-Adjusted Performance of Random Forest Models in High-Frequency Trading—0
A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity—0
Comparison of Short-Text Sentiment Analysis Methods for Croatian—0
A Comparative Study of Machine Learning Algorithms for Stock Price Prediction Using Insider Trading Data—0
Comparative Study of Machine Learning Models for Stock Price Prediction—0
A Generalization Bound of Deep Neural Networks for Dependent Data—0
Contrasting the efficiency of stock price prediction models using various types of LSTM models aided with sentiment analysis—0
Cross-sectional Stock Price Prediction using Deep Learning for Actual Investment Management—0
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction—0
A novel improved fuzzy support vector machine based stock price trend forecast model—0
SETN: Stock Embedding Enhanced with Textual and Network Information—0
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data—0
Boosting Stock Price Prediction with Anticipated Macro Policy Changes—0
BERTopic-Driven Stock Market Predictions: Unraveling Sentiment Insights—0
An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework—0
Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models—0
Feature selection and regression methods for stock price prediction using technical indicators—0
Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy—0
Automated Stock Price Prediction Using Machine Learning—0
A Fast Evidential Approach for Stock Forecasting—0
Explainable-AI powered stock price prediction using time series transformers: A Case Study on BIST100—0
Explainable Text-Driven Neural Network for Stock Prediction—0
Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning—0
Absolute Value Constraint: The Reason for Invalid Performance Evaluation Results of Neural Network Models for Stock Price Prediction—0
Feature Learning for Stock Price Prediction Shows a Significant Role of Analyst Rating—0
FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis—0
Fine-tuning and Utilization Methods of Domain-specific LLMs—0
FinTextSim: Enhancing Financial Text Analysis with BERTopic—0
Forecasting significant stock price changes using neural networks—0
Dynamic Inference—0
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