ANALISIS TEKNIKAL PERGERAKAN HARGA SAHAM DENGAN MENGGUNAKAN INDIKATOR STOCHASTIC OSCILLATOR DAN WEIGHTED MOVING AVERAGE

Authors

  • Nur Alviyanil 'Izzah Politeknik Negeri Semarang
  • Dina Yeni Martia (Orchid ID: 0000-0001-7073-3216) Politeknik Negeri Semarang http://orcid.org/0000-0001-7073-3216
  • Maria Imaculata Politeknik Negeri Semarang
  • Moh Iqbal Hidayatullah Politeknik Negeri Semarang
  • Andhika Bagus Pradana Politeknik Negeri Semarang
  • Diyah Ayu Setiyani Politeknik Negeri Semarang
  • Enes Sapuri Politeknik Negeri Semarang

DOI:

https://doi.org/10.32497/keunis.v9i1.2307

Keywords:

technical analysis, Stochastic Oscillator, Weighted Moving Average, WMA

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.

Author Biography

Dina Yeni Martia, (Orchid ID: 0000-0001-7073-3216) Politeknik Negeri Semarang

Sinta ID :  6034495
Orchid ID :  0000-0001-7073-3216

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Published

2021-02-27

Issue

Vol. 9 No. 1 (2021): JANUARI 2021

Section

Articles

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