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Maria Imaculata
Politeknik Negeri Semarang
Economics, Econometrics & Finance

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ANALISIS TEKNIKAL PERGERAKAN HARGA SAHAM DENGAN MENGGUNAKAN INDIKATOR STOCHASTIC OSCILLATOR DAN WEIGHTED MOVING AVERAGE Nur Alviyanil 'Izzah; Dina Yeni Martia; Maria Imaculata; Moh Iqbal Hidayatullah; Andhika Bagus Pradana; Diyah Ayu Setiyani; Enes Sapuri
KEUNIS Vol 9, No 1 (2021): JANUARI 2021
Publisher : FInance and Banking Program, Accounting Department, Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4155.605 KB) | DOI: 10.32497/keunis.v9i1.2307

Abstract

Investments in the stock market are closely related to the price movement risk. Investors used technical analysis to minimize the risk caused by changes in stock prices. Hence, investors get the right decision to buy or sell the stocks. Weighted Moving Average and Stochastic Oscillator are technical analysis indicators that investors often use due to their ease and accuracy predictions. This study combines the Stochastic Oscillator and Weight Moving Average (WMA) indicators to predict stock price movements in various industrial sectors during the 2015 to 2019 period and the first semester of the 2020 covid-19 pandemic outbreak in Indonesia. This combination aims to provide better predictive results by completing the weaknesses of each indicator. To provide recommendations for the right investment decisions for investors interested in investing their funds, especially in various industrial sectors. Using the combination of WMA and SI indicator charts from the investing.com website resulting in a better prediction of the right time to buy or sell stocks in various industry sectors. While the shares of SCCO, INDR, INDS appear stable during 2020, the movement of KLBM and KLBI's share prices seems to be affected by the Covid-19 pandemic in Indonesia.
Co-Authors Andhika Bagus Pradana Dina Yeni Martia Diyah Ayu Setiyani Enes Sapuri Moh Iqbal Hidayatullah Nur Alviyanil 'Izzah