Deep neural networks for stock forecasting
Stock market is an important part of economy. How to effectively predict it to maximize the interests of investors has become a topic of concern to researchers. However, due to the uncertainty and nonstationarity of the stock series, forecasting stock price has become a big challenge. The emergen...
Saved in:
Main Author: | Gao, Kexin |
---|---|
Other Authors: | Lap-Pui Chau |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/155424 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
Similar Items
-
Stock trading prediction using deep learning neural networks
by: Ong, Hao Cong
Published: (2021) -
Voice detection with spiking convolutional neural network for smart sensor applications
by: Leow, Cong Sheng
Published: (2021) -
Interpretable fuzzy-embedded deep neural network with its application in stock trading
by: Koh, Amadeus Ying Jie
Published: (2023) -
Deep GRU neural networks for Apple stock price prediction
by: Ji, YiJun
Published: (2023) -
Hybrid deep neural network and deep reinforcement learning for algorithmic finance
by: Ooi, Min Hui
Published: (2022)