Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets
Authors
Keywords
-
Journal
MATHEMATICAL PROBLEMS IN ENGINEERING
Volume 2018, Issue -, Pages 1-11
Publisher
Hindawi Limited
Online
2018-04-16
DOI
10.1155/2018/4907423
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies
- (2017) Eunsuk Chong et al. EXPERT SYSTEMS WITH APPLICATIONS
- High-frequency stock linkage and multi-dimensional stationary processes
- (2017) Xi Wang et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Recurrent neural network and a hybrid model for prediction of stock returns
- (2015) Akhter Mohiuddin Rather et al. EXPERT SYSTEMS WITH APPLICATIONS
- A hybrid model for high-frequency stock market forecasting
- (2015) Ricardo de A. Araújo et al. EXPERT SYSTEMS WITH APPLICATIONS
- Developing an approach to evaluate stocks by forecasting effective features with data mining methods
- (2015) Sasan Barak et al. EXPERT SYSTEMS WITH APPLICATIONS
- Description and prediction of time series: A general framework of Granular Computing
- (2015) Rami Al-Hmouz et al. EXPERT SYSTEMS WITH APPLICATIONS
- Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization
- (2014) Ahmad Bagheri et al. EXPERT SYSTEMS WITH APPLICATIONS
- Modeling and forecasting financial time series with ordered fuzzy candlesticks
- (2014) A. Marszałek et al. INFORMATION SCIENCES
- Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information
- (2014) Xiaodong Li et al. NEUROCOMPUTING
- Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil
- (2013) Fagner A. de Oliveira et al. EXPERT SYSTEMS WITH APPLICATIONS
- Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network
- (2013) M. Ghiassi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automated trading with performance weighted random forests and seasonality
- (2013) Ash Booth et al. EXPERT SYSTEMS WITH APPLICATIONS
- Forecasting trends of high-frequency KOSPI200 index data using learning classifiers
- (2012) Youngdoo Son et al. EXPERT SYSTEMS WITH APPLICATIONS
- Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange
- (2010) Yakup Kara et al. EXPERT SYSTEMS WITH APPLICATIONS
- A combination of hidden Markov model and fuzzy model for stock market forecasting
- (2009) Md. Rafiul Hassan NEUROCOMPUTING
- Weighted possibilistic moments of fuzzy numbers with applications to GARCH modeling and option pricing
- (2008) A. Thavaneswaran et al. MATHEMATICAL AND COMPUTER MODELLING
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started