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October 20, 2025ManagementOpen Access

Cryptocurrency Price Prediction and Investment Decision Support Using a Transfer Learning-Based Hybrid CNN-BiLSTM-Attention Deep Learning Framework

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Transfer learning improves investment decision support in cryptocurrency, indicating strong predictive capabilities.

The proposed framework achieves an overall accuracy of 96%, demonstrating significant predictive power.
In evaluations, the hybrid model outperforms standalone CNN, LSTM, and RNN architectures with an F1 score of 95.5%.
Utilizing a historical dataset of major cryptocurrencies, the model integrates CNN and BiLSTM for effective analysis.
This reliable tool aids investors and financial professionals in making informed decisions in a volatile market.

Durga et al. (2025) studied this question.

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October 20, 2025ManagementOpen Access

View Full Paper

Ask AI

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Authors

Transfer learning improves investment decision support in cryptocurrency, indicating strong predictive capabilities.

The proposed framework achieves an overall accuracy of 96%, demonstrating significant predictive power.
In evaluations, the hybrid model outperforms standalone CNN, LSTM, and RNN architectures with an F1 score of 95.5%.
Utilizing a historical dataset of major cryptocurrencies, the model integrates CNN and BiLSTM for effective analysis.
This reliable tool aids investors and financial professionals in making informed decisions in a volatile market.

Durga et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark