The research demonstrates that hybrid normalization and intersection feature selection improve stock prediction accuracy. Potential applications include better investment strategies and risk management. Future research could explore combining more feature selection techniques for even better results.

The research demonstrates that hybrid normalization and intersection feature selection improve stock prediction accuracy. Potential applications include better investment strategies and risk management. Future research could explore combining more feature selection techniques for even better results.

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