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BibTex Citation Data :
@article{JOIV115,
author = {Khulood Albeladi and Salha Abdullah},
title = {Application of Genetic Algorithm and Personal Informatics in Stock Market},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {2},
number = {2},
year = {2018},
keywords = {genetic algorithms; personal informatics; stock market; Saudi Stock Exchange.},
abstract = {The financial market is extremely attractive since it moves trillion dollars per year. Many investors have been exploring ways to predict future prices by using different types of algorithms that use fundamental analysis and technical analysis. Many professional speculators or amateurs had been analysing the price movement of some financial assets using these algorithms. The use of genetic algorithms, neural networks, genetic programming combined with these tools in an attempt to find a profitable solution is very common. This study presents a prototype that utilizes genetic algorithms (GAs) and personal informatics system (PI) for short-term stock index forecast. The prototype works according to the following steps. Firstly, a collection of input variables is defined through technical data analysis. Secondly, GA is applied to determine an optimal set of input variables for a one-day forecast. The data is gathered from the Saudi Stock Exchange as being the target market. Thirdly, PI is utilised to create a smart environment, which enables visualisation of stock prices. The outcome indicates that this approach of forecasting the stock price is positive. The highest accuracy obtained is 64.67% and the lowest one is 48.06%.},
issn = {2549-9904}, pages = {68--72}, doi = {10.30630/joiv.2.2.115},
url = {https://joiv.org/index.php/joiv/article/view/115}
}
Refworks Citation Data :
@article{{JOIV}{115}, author = {Albeladi, K., Abdullah, S.}, title = {Application of Genetic Algorithm and Personal Informatics in Stock Market}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {2}, number = {2}, year = {2018}, doi = {10.30630/joiv.2.2.115}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.