Deep Learning Algorithms for Stock Market Trend Prediction in Financial Risk Management

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The hybrid model predicts stock market trends by leveraging CNNs and LSTMs, improving accuracy in investment decisions.
Using historical stock data, the model captures price trends and technical indicators for more informed financial choices.
Financial risk management is integrated through metrics like Value-at-Risk, ensuring a robust risk assessment within the model.
The model's performance is evaluated with accuracy and risk-adjusted measures, indicating its reliability for real-world applications.

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This hybrid model combines CNNs and LSTMs to enhance stock market trend prediction and manage financial risk.

Sachdeva et al. (2025) studied this question.

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