The study concludes that deep learning and combinatorial models are promising for stock price forecasting. Future research should focus on integrating textual data and improving model accuracy. Potential applications include better investment strategies and risk management in stock markets.

The study concludes that deep learning and combinatorial models are promising for stock price forecasting. Future research should focus on integrating textual data and improving model accuracy. Potential applications include better investment strategies and risk management in stock markets.

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