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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 11–20 of 137 papers

TitleStatusHype
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
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