References

• 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
• 1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
• n.d.Forecasting principles and practice4,364 cited
• 2019CNNpred: CNN-based stock market prediction using a diverse set of variables643 cited
• 2020Deep learning for financial applications : A survey550 cited
• 2005The use of data mining and neural networks for forecasting stock market returns465 cited
• 2018Predicting the direction of stock market prices using tree-based classifiers376 cited
• 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module373 cited
• 2009Using support vector machine with a hybrid feature selection method to the stock trend prediction302 cited
• 2019Technical analysis and sentiment embeddings for market trend prediction293 cited
• 2019Study on the prediction of stock price based on the associated network model of LSTM288 cited
• 2020A novel graph convolutional feature based convolutional neural network for stock trend prediction284 cited
• 2018Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction253 cited
• 2021A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions