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The document outlines a comparative study on the use of machine learning models, specifically Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM), for real-time stock market prediction. It details the objectives, methodologies, and system requirements for implementing these models, emphasizing the importance of accurate predictions in a volatile market. The study aims to evaluate the performance of these models using live data, contributing to advancements in financial decision-making tools.

Author

afnansharief.nm

Language

EN