A systematic review of fundamental and technical analysis of stock market predictions
By Isaac Kofi Nti, Adebayo Felix Adekoya, B. Weyori. Artificial Intelligence Review, 2019
475 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/edf56e3644157a2bdb4a25027cc49d8b69d086ed
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
In Management Science and Operations Research
Citations in the corpus
- Cryptocurrency trading: a comprehensive survey (2020, unknown): “mental analysis and general analysis, respectively [55].”
- Applications of deep learning in stock market prediction: recent progress (2020, background): “Nti et al. (2019) focuses on the fundamental and technical analysis, and find that support vector machine and artificial neural network are the most used machine learning techniques for stock market prediction.”