SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 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
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
HYPHEN: Hyperbolic Hawkes Attention For Text StreamsCode1
Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode DecompositionCode1
Trade the Event: Corporate Events Detection for News-Based Event-Driven TradingCode1
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series PredictionCode1
S&P 500 Stock Price Prediction Using Technical, Fundamental and Text DataCode1
Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning ModelsCode1
ResNLS: An Improved Model for Stock Price ForecastingCode1
Deep Stock PredictionsCode1
A Multifactor Analysis Model for Stock Market PredictionCode1
Stock price prediction using Generative Adversarial NetworksCode1
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
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock ReturnsCode1
A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language ProcessingCode0
Particle Filter Recurrent Neural NetworksCode0
Predicting the Effects of News Sentiments on the Stock MarketCode0
Probabilistic Deep Learning and Transfer Learning for Robust Cryptocurrency Price PredictionCode0
Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-DivergenceCode0
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial NewsCode0
Show:102550
← PrevPage 1 of 6Next →

No leaderboard results yet.