A New Model for Stock Price Movements Prediction Using Deep Neural Network
By Huy D. Huynh, Lien Minh Dang, Duc M. Duong. 2017
94 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research, Time-Series & Forecasting
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In Artificial Intelligence
In Electrical and Electronic Engineering
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In Time-Series & Forecasting
Citations in the corpus
- Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, methodology): “[203] News from Reuters, Bloomberg 2006-2013 Financial news, price data 1d, 2d, 5d, 7d Bi-GRU Accuracy Python, Keras”
- Deep Learning for Financial Applications : A Survey (2020, methodology): “[165] News from Reuters, Bloomberg 2006-2013 Financial news, price data Bi-GRU Accuracy Python, Keras”
- Applications of deep learning in stock market prediction: recent progress (2020, methodology): “…Deng et al. (2019) KDTCN ARIMA, LSTM, CNN, TCN Sezer & Ozbayoglu (2019) CNN Buy&Hold Sim et al. (2019) CNN ANN, SVM Recurrent Neural Network Type Huynh et al. (2017) BGRU LSTM, GRU, DNN (Ding et al., 2014), DNN (Peng & Jiang, 2016) Li & Tam (2017) WT+LSTM LSTM Li et al. (2017a) LSTM SVM Nelson…”