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The document presents a research study on developing a hybrid deep learning model named Stock-Fusion Net (SF-Net) for stock market prediction, integrating technical indicators like RSI and Moving Averages. It identifies gaps in existing research that primarily focus on historical price data without considering market momentum indicators and proposes a methodology that combines CNN and LSTM for improved accuracy. The SF-Net model demonstrates superior performance compared to traditional models, achieving a m
- Author
- vidhipatel230307
- Language
- EN