Related references
Note: Only part of the references are listed.An innovative neural network approach for stock market prediction
Xiongwen Pang et al.
JOURNAL OF SUPERCOMPUTING (2020)
Multi model-Based Hybrid Prediction Algorithm (MM-HPA) for Stock Market Prices Prediction Framework (SMPPF)
Subba Rao Polamuri et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2020)
Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting
Ayaz Hussain Bukhari et al.
IEEE ACCESS (2020)
Forecasting Stock Prices Using a Hybrid Deep Learning Model Integrating Attention Mechanism, Multi-Layer Perceptron, and Bidirectional Long-Short Term Memory Neural Network
Qian Chen et al.
IEEE ACCESS (2020)
CNNpred: CNN-based stock market prediction using a diverse set of variables
Ehsan Hoseinzade et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Deep learning models for bankruptcy prediction using textual disclosures
Feng Mai et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2019)
DeepLOB: Deep Convolutional Neural Networks for Limit Order Books
Zihao Zhang et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2019)
A Method of Sentiment Polarity Identification in Financial News using Deep Learning
Daisuke Katayama et al.
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES 2019) (2019)
Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network
Jinho Lee et al.
IEEE ACCESS (2019)
Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach
Omer Berat Sezer et al.
APPLIED SOFT COMPUTING (2018)
Improving stock market prediction via heterogeneous information fusion
Xi Zhang et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market?
Lin Chen et al.
IEEE ACCESS (2018)