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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 126–137 of 137 papers

TitleStatusHype
Boosting Stock Price Prediction with Anticipated Macro Policy Changes—0
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction—0
Comparative Study of Machine Learning Models for Stock Price Prediction—0
Comparison of Short-Text Sentiment Analysis Methods for Croatian—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
Debunking Sentiment Lexicons: A Case of Domain-Specific Sentiment Classification for Croatian—0
Design and Analysis of Robust Deep Learning Models for Stock Price Prediction—0
Discovering Stock Price Prediction Rules of Bombay Stock Exchange Using Rough Fuzzy Multi Layer Perception Networks—0
Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment—0
Dynamic Inference—0
Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy—0
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