Evaluation of bidirectional LSTM for short-and long-term stock market prediction

By Khaled A. Althelaya, El-Sayed M. El-Alfy, S. Mohammed. 2018

189 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research, Model Architectures, Signal Processing, 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 Electrical and Electronic Engineering

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

In Management Science and Operations Research

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

In Model Architectures

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

In Signal Processing

1. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek

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, methodology): “[128] S&P500 Index 2010-2017 Index data 10d 1d, 30d Stacked LSTM, Bi-”