HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks

Stock trading rule discovery with double deep Q-network

(2021) Yong Shi et al.   APPLIED SOFT COMPUTING

An interpretable Neural Fuzzy Hammerstein-Wiener network for stock price prediction

(2021) Chen Xie et al.   INFORMATION SCIENCES

Stock movement prediction with sentiment analysis based on deep learning networks

(2020) Yong Shi et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Multiple breaks detection in financial interval-valued time series

(2020) Carmela Cappelli et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2020) Wei Chen et al.   INFORMATION SCIENCES

A Multimodal Event-Driven LSTM Model for Stock Prediction Using Online News

(2020) Qing Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Temporal Relational Ranking for Stock Prediction

(2019) Fuli Feng et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Daily price limits and destructive market behavior

(2018) Ting Chen et al.   JOURNAL OF ECONOMETRICS

Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy

(2018) Rory Sayres et al.   OPHTHALMOLOGY

A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter

(2014) Ranjeeta Bisoi et al.   APPLIED SOFT COMPUTING

The conditional autoregressive Wishart model for multivariate stock market volatility

(2011) Vasyl Golosnoy et al.   JOURNAL OF ECONOMETRICS

Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches

(2010) Chih-Fong Tsai et al.   DECISION SUPPORT SYSTEMS