A Stock Price Trend Prediction Method Based on Market Sentiment Factors and Multi-layer Stacking Ensemble Learning with Dual-CNN-LSTM Models and Nested Heterogeneous Learners
- DOI
- 10.1007/978-3-031-57808-3_29
- Published
- 2024
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-57808-3_29,
title = {A Stock Price Trend Prediction Method Based on Market Sentiment Factors and Multi-layer Stacking Ensemble Learning with Dual-CNN-LSTM Models and Nested Heterogeneous Learners},
author = {Maoguang Wang and Jiaqi Yan and Yuxiao Chen},
year = {2024},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-031-57808-3_29},
url = {https://doi.org/10.1007/978-3-031-57808-3_29}
}RIS
TY - JOUR TI - A Stock Price Trend Prediction Method Based on Market Sentiment Factors and Multi-layer Stacking Ensemble Learning with Dual-CNN-LSTM Models and Nested Heterogeneous Learners AU - Maoguang Wang AU - Jiaqi Yan AU - Yuxiao Chen PY - 2024 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-031-57808-3_29 UR - https://doi.org/10.1007/978-3-031-57808-3_29 ER -
APA
Wang, M., Yan, J., & Chen, Y. (2024). A Stock Price Trend Prediction Method Based on Market Sentiment Factors and Multi-layer Stacking Ensemble Learning with Dual-CNN-LSTM Models and Nested Heterogeneous Learners. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-031-57808-3_29
Source records
- crossref · retrieved 2026-11-05T15:23:28.340Z