Generative adversarial network (GAN) and enhanced root mean square error (ERMSE): deep learning for stock price movement prediction

CNNpred: CNN-based stock market prediction using a diverse set of variables

Ehsan Hoseinzade, Saman Haratizadeh · Expert Systems with Applications · 2019 · 613 citations

Business, Data Science, Finance +14

Deep learning-based feature engineering for stock price movement prediction

Wen Long, Zhichen Lu, Ling-Xiao Cui · Knowledge-Based Systems · 2018 · 479 citations

Computing, Computer Science, Finance +14

Stock price prediction based on deep neural networks

Pengfei Yu, Xuesong Yan · Neural Computing and Applications · 2019 · 368 citations

Computing, Computer Science, Finance +14

Predicting the direction of stock market prices using tree-based classifiers

Suryoday Basak, Saibal Kar, Snehanshu Saha et al. · The North American Journal of Economics and Finance · 2018 · 366 citations

Computing, Data Science, Finance +14

Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets

Xingyu Zhou, Zhisong Pan, Guyu Hu et al. · Mathematical Problems in Engineering · 2018 · 260 citations · Full text

Computing, Finance, Forecasting +16