A novel graph convolutional feature based convolutional neural network for stock trend prediction

An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market

(2020) Jiawei Long et al.   APPLIED SOFT COMPUTING

Training ensembles of faceted classification models for quantitative stock trading

(2020) Luca Cagliero et al.   COMPUTING

Time series data analysis of stock price movement using machine learning techniques

(2020) Irfan Ramzan Parray et al.   SOFT COMPUTING

Stock market analysis using candlestick regression and market trend prediction (CKRM)

(2020) M. Ananthi et al.   Journal of Ambient Intelligence and Humanized Computing

The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm

(2020) Manrui Jiang et al.   ANNALS OF OPERATIONS RESEARCH

Deep learning for financial applications : A survey

(2020) Ahmet Murat Ozbayoglu et al.   APPLIED SOFT COMPUTING

Predicting Stock Price Using Two-Stage Machine Learning Techniques

(2020) Jun Zhang et al.   Computational Economics

Predicting the Trend of Stock Market Index Using the Hybrid Neural Network Based on Multiple Time Scale Feature Learning

(2020) Yaping Hao et al.   Applied Sciences-Basel

Deep learning and time series-to-image encoding for financial forecasting

(2020) Silvio Barra et al.   IEEE-CAA Journal of Automatica Sinica

A Labeling Method for Financial Time Series Prediction Based on Trends

(2020) Dingming Wu et al.   Entropy

Multi-attributed heterogeneous graph convolutional network for bot detection

(2020) Jun Zhao et al.   INFORMATION SCIENCES

A new approach of integrating piecewise linear representation and weighted support vector machine for forecasting stock turning points

(2019) Huimin Tang et al.   APPLIED SOFT COMPUTING

A graph convolutional neural network for classification of building patterns using spatial vector data

(2019) Xiongfeng Yan et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Spatial temporal graph convolutional networks for skeleton-based dynamic hand gesture recognition

(2019) Yong Li et al.   EURASIP Journal on Image and Video Processing

Technical analysis and sentiment embeddings for market trend prediction

(2019) Andrea Picasso et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning graph structure via graph convolutional networks

(2019) Qi Zhang et al.   PATTERN RECOGNITION

Intraday Stock Prediction Based on Deep Neural Network

(2019) Nagaraj Naik et al.   NATIONAL ACADEMY SCIENCE LETTERS-INDIA

Wavelet Neural Network Prediction Method of Stock Price Trend Based on Rough Set Attribute Reduction

(2018) Lei Lei   APPLIED SOFT COMPUTING

Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach

(2018) Omer Berat Sezer et al.   APPLIED SOFT COMPUTING

Metric learning with spectral graph convolutions on brain connectivity networks

(2018) Sofia Ira Ktena et al.   NEUROIMAGE

Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis

(2018) Ranjeeta Bisoi et al.   APPLIED SOFT COMPUTING

Short-term trend prediction in financial time series data

(2018) Mustafa Onur Özorhan et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Lagged correlation-based deep learning for directional trend change prediction in financial time series

(2018) Ben Moews et al.   EXPERT SYSTEMS WITH APPLICATIONS

Stock trend prediction based on a new status box method and AdaBoost probabilistic support vector machine

(2016) Xiao-dan Zhang et al.   APPLIED SOFT COMPUTING

An adaptive stock index trading decision support system

(2016) Wen-Chyuan Chiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Adapting extreme value statistics to financial time series: dealing with bias and serial dependence

(2016) Laurens de Haan et al.   FINANCE AND STOCHASTICS

An intelligent pattern recognition model for supporting investment decisions in stock market

(2016) Tai-liang Chen et al.   INFORMATION SCIENCES

Novel indexes based on network structure to indicate financial market

(2016) Tao Zhong et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Stock market trend prediction using AHP and weighted kernel LS-SVM

(2016) Ivana Marković et al.   SOFT COMPUTING

A hybrid fuzzy time series model based on granular computing for stock price forecasting

(2015) Mu-Yen Chen et al.   INFORMATION SCIENCES

Using support vector machine with a hybrid feature selection method to the stock trend prediction

(2009) Ming-Chi Lee   EXPERT SYSTEMS WITH APPLICATIONS