iCREST: International Cross-Reference to Exchange-Based Stock Trend Prediction Using Long Short-Term Memory
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-6173-7_22
Reference23 articles.
1. Brock WA (2018) Nonlinearity and complex dynamics in economics and finance. The economy as an evolving complex system. CRC Press, New York, pp 77–97
2. Cavalcante RC, Brasileiro RC, Souza VL, Nobrega JP, Oliveira AL (2016) Computational intelligence and financial markets: a survey and future directions. Expert Syst Appl 55:194–211
3. Chaudhari K, Thakkar A (2019) A comprehensive survey on travel recommender systems. Arch Comput Methods Eng 1–27
4. Chaudhari K, Thakkar A (2019) Survey on handwriting-based personality trait identification. Expert Syst Appl 124:282–308
5. Chemmanur TJ, He J, Fulghieri P (2008) Competition and cooperation among exchanges: effects on corporate cross-listing decisions and listing standards. J Appl Corp Fin 20(3):76–90
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