Open AccessNeural Network on Stock Prediction using the Stock Prices Feature and Indonesian Financial News Titles
Author(s) -
Nur Ghaniaviyanto Ramadhan,
Imelda Atastina
Publication year - 2021
Publication title -
international journal on information and communication technology
Language(s) - English
Resource type - Journals
ISSN - 2356-5462
DOI - 10.21108/ijoict.v7i1.544
Subject(s) - headline , stock (firearms) , artificial neural network , indonesian , stock price , multilayer perceptron , perceptron , econometrics , finance , business , computer science , financial economics , artificial intelligence , economics , advertising , engineering , mechanical engineering , paleontology , linguistics , philosophy , biology , series (stratigraphy)
Stocks are the most popular investments among entrepreneurs or other investors. When investing in stocks these investors tend to learn how to invest stocks correctly and when is the right time. For the problem of how to invest shares correctly can be used a variety of basic theories that already exist, but for the problem when the right time needs further learning. In this paper will purpose about stock price prediction using stock data indicators and financial headline data in Bahasa Indonesia. The machine learning model used is a multi-layer perceptron neural network (MLP-NN) with the highest accuracy produced by 80%.