A recurrent neural network approach in predicting daily stock prices an application to the Sri Lankan stock market

By A.J.P. Samarawickrama, T.G.I. Fernando. 2017

83 citations recorded by the source corpus.

Subfields: Time-Series & Forecasting

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Time-Series & Forecasting

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu
4. Weiwei Jiang
5. Longbing Cao

Citations in the corpus

• Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, background): “Among the noteworthy studies, the authors in [83] compared RNN, Stacked Recurrent Neural Network (SRNN), LSTM and GRU.”