Cargando…
Development of a stock trading system based on a neural network using highly volatile stock price patterns
This paper proposes a pattern-based stock trading system using ANN-based deep learning and utilizing the results to analyze and forecast highly volatile stock price patterns. Three highly volatile price patterns containing at least a record of the price hitting the daily ceiling in the recent tradin...
Autor principal: | Oh, Jangmin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044358/ https://www.ncbi.nlm.nih.gov/pubmed/35494871 http://dx.doi.org/10.7717/peerj-cs.915 |
Ejemplares similares
-
Neural network assisted Kalman filter for INS/UWB integrated seamless quadrotor localization
por: Bi, Shuhui, et al.
Publicado: (2021) -
Reconfigurable monitoring for telecommunication networks
por: Tianxing, Man, et al.
Publicado: (2020) -
A comprehensive survey of techniques for developing an Arabic question answering system
por: Alkhurayyif, Yazeed, et al.
Publicado: (2023) -
Constructing a cohesive pattern for collective navigation based on a swarm of robotics
por: Soliman, Yehia A., et al.
Publicado: (2021) -
Collaborative caching discovery management in mobile ad hoc networks environments
por: Alshahrani, Hussain, et al.
Publicado: (2023)