The study concludes that hybrid LSTM-CNN models are highly effective for stock prediction. Potential applications include portfolio management and intraday trading. Future research should focus on integrating sentiment analysis for improved accuracy.

The study concludes that hybrid LSTM-CNN models are highly effective for stock prediction. Potential applications include portfolio management and intraday trading. Future research should focus on integrating sentiment analysis for improved accuracy.

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