A CNN–LSTM model for gold price time-series forecasting

By I. Livieris, Emmanuel G. Pintelas, P. Pintelas. Neural computing & applications (Print), 2020

766 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/121f46b8c1a4f837fc439a8cd74d8afc96d1d0c5

How researchers see this paper

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

In Economics and Econometrics

1. David Martínez-Rego
2. Carmine Ventre
3. Leslie Kanthan
4. Lingbo Li
5. Fan Wu
6. Fan Fang
7. H. Kong
8. Michail Basios

In Management Science and Operations Research

1. David Martínez-Rego
2. Carmine Ventre
3. Leslie Kanthan
4. Lingbo Li
5. Fan Wu
6. Fan Fang
7. H. Kong
8. Michail Basios

Citations in the corpus

• Cryptocurrency trading: a comprehensive survey (2020, methodology): “[181] proposed model called CNN-LSTM for accurate prediction of gold prices and movements.”