A novel stock trading prediction and recommendation system
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4587-z
Abstract: The prices of the stock are influence by many factors and emerge extremely nonlinear structure. Therefore, the stock trading prediction and recommendation is an extremely challenging task. In this paper, a novel stock trading prediction… read more here.
Keywords: recommendation; system; prediction recommendation; stock trading ... See more keywords
Integrating principle component analysis and weighted support vector machine for stock trading signals prediction
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.077
Abstract: Abstract This study investigates stock trading signals prediction that is an interesting yet challenging research topic in the area of financial investment, since the stock market is an unstable and complex system affected by many… read more here.
Keywords: trading signals; trading; signals prediction; stock trading ... See more keywords
Acceptability of mobile stock trading application: A study of young investors in Malaysia
Sign Up to like & getrecommendations! Published in 2021 at "Technology in Society"
DOI: 10.1016/j.techsoc.2020.101497
Abstract: Abstract Mobile financial services have been adopted rapidly during the digitisation era. This study therefore aims to investigate the antecedents of mobile stock trading adoption among young investors. Using the structural equation modelling technique, this… read more here.
Keywords: stock trading; young investors; mobile stock; study ... See more keywords
A Novel Convolutional Neural Networks for Stock Trading Based on DDQN Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3259424
Abstract: In deep learning based stock trading strategy models, most of the research just use simple convolutional neural networks (CNN) to process stock data. But task-specific neural network structures have been proposed extensively, and their effectiveness… read more here.
Keywords: trading; network; convolutional neural; stock trading ... See more keywords
On Stock Trading Via Feedback Control When Underlying Stock Returns Are Discontinuous
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2016.2605743
Abstract: Trading rules based on feedback laws have recently attracted significant attention in the control community. One of the main results in this area states that the gain obtained by so-called simultaneously long short strategies has… read more here.
Keywords: control; feedback; trading via; stock trading ... See more keywords
Is It Possible to Earn Abnormal Return in an Inefficient Market? An Approach Based on Machine Learning in Stock Trading
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/2917577
Abstract: Risk management and stock investment decision-making is an essential topic for investors and fund managers, especially in the context of the COVID-19 pandemic. The problem becomes easier if the market is efficient, where stock prices… read more here.
Keywords: stock trading; market; stock; test ... See more keywords