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This document discusses the application of machine learning techniques to predict stock market movements. It explores various algorithms, including recurrent neural networks (RNNs) and long short-term memory (LSTM) networks, for analyzing historical stock data and identifying patterns. The study aims to develop a predictive model that can assist investors in making more informed trading decisions and