Year: 2025
Type: article
Abstract: Stocks represent a popular investment model in contemporary markets. However, investing in stocks carries inherent risks, potentially leading to losses when purchased at high prices but sold at significantly lower values. Technical analysis is employed to examine historical stock price behavior in order to predict future price movements. The Grammatical Evolution method has been selected to address this issue, utilizing historical stock price data as input. By constructing a comprehensive grammar in Backus-Naur Form notation, Grammatical Evolution facilitates the exploration of numerous potential predictive models, allowing for a wide range of forecasting possibilities.
Author: Aditya Kusuma Setyanegara
Institution: Telkom University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4409801165