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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 1–25 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
Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning ModelsCode1
ResNLS: An Improved Model for Stock Price ForecastingCode1
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series PredictionCode1
Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode DecompositionCode1
S&P 500 Stock Price Prediction Using Technical, Fundamental and Text DataCode1
Review of deep learning models for crypto price prediction: implementation and evaluationCode1
Trade the Event: Corporate Events Detection for News-Based Event-Driven TradingCode1
HYPHEN: Hyperbolic Hawkes Attention For Text StreamsCode1
A Multifactor Analysis Model for Stock Market PredictionCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRUCode1
Deep Stock PredictionsCode1
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price PredictionCode1
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock ReturnsCode1
Stock price prediction using Generative Adversarial NetworksCode1
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
A Generalization Bound of Deep Neural Networks for Dependent Data—0
Comparative Study of Machine Learning Models for Stock Price Prediction—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
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