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All Journal Sigmagri International Journal of Hydrological and Environmental for Sustainability Jurnal Teknologi dan Inovasi Industri
Prayoga, Rian Adi
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Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Social Sciences

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Journal : Sigmagri

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Analisis Teknikal untuk Meramalkan Harga Saham Agribisnis pada Indeks D232 BEI Prayoga, Rian Adi; Sukma, Septi Ambar Indraningtia; Purbowo, Purbowo; Chusnah, Miftachul
Sigmagri Vol. 5 No. 2 (2025): Desember
Publisher : Program Studi Agribisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/sigmagri.v5i2.1578

Abstract

This study analyzes the stock performance of selected agribusiness companies listed in the D232 Index on the Indonesia Stock Exchange from 2020 to 2024. The research aims to identify buy and sell signals using a combination of Moving Average (MA) and Stochastic Oscillator indicators. A quantitative descriptive method was employed, and eight representative stocks were analyzed. Results show that stocks such as AALI, ANDI, ANJT, and BISI exhibit strong buy signals supported by golden cross patterns and oversold conditions, while BWPT, CSRA, and DSNG present strong sell signals indicated by death cross patterns and overbought conditions. The integration of technical indicators allows investors to make informed decisions on entry and exit points. This study contributes to the literature by applying a dual-indicator approach specifically to the agribusiness sector, highlighting the relevance of MA and Stochastic Oscillator in predicting price trends and supporting investment strategies. Recommendations include using these indicators to guide trading decisions and continuously monitoring market movements for optimal timing.
Co-Authors Assa'diyah, Indah Nurul Chusnah, Miftachul Esa Ghanim Fadhallah Iswahyudi, Bella Amanda Juwita, Nana M. Haviz Purbowo, Purbowo Putri, Shaffa Audya Nurin Septi Ambar Indraningtia Sukma Taharuddin Taharuddin Tullaila, Sholeha