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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 21–30 of 137 papers

TitleStatusHype
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
Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price PredictionCode2
Transfer learning for financial data predictions: a systematic review—0
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRUCode1
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction—0
SETN: Stock Embedding Enhanced with Textual and Network Information—0
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