Technical Analysis of Moving Average Convergence Divergence, Stochastic Oscillator, Relative Strength Index and Money Flow Index on The Stock Prices of Companies Listed on The IDX30 Index on The Indonesia Stock Exchange
Journal Title: International Journal of Current Science Research and Review - Year 2025, Vol 8, Issue 05
Abstract
Every year, the number of investors in Indonesia is growing rapidly. To reduce the risk of loss, it is important to have a strategy in investing, one of which is by utilizing technical analysis. This study aims to assess the extent to which the technical analysis of the Moving Averages Convergence Divergence (MACD), Stochastic Oscillator (SO), Relative Strength Index (RSI), and Money Flow Index (MFI) indicators is effective in providing accurate signals related to stock prices during the 2024 Presidential Election on stock prices listed on the IDX30 Index. This study uses descriptive research with a quantitative approach. The method used in this study is technical analysis that focuses on understanding the relationship between the signals generated by the four indicators and stock price movements. Data analysis used is by accuracy testing and statistical difference testing. The results of the study showed that the four indicators have fairly good accuracy values, where the order of accuracy is the first MACD indicator 89%, the second SO indicator 81%, the third RSI indicator 79%, and the last MFI indicator 63%. However, based on statistical tests conducted, only the Moving Averages Convergence Divergence (MACD) indicator is effective in providing accurate signals related to stock prices during the 2024 Presidential Election for companies listed on the IDX30 Index. The results of this study are expected to provide insight into the signal strength of these technical indicators in predicting stock price movements, which in turn can be used by investors to make better investment decisions in the Indonesian capital market.
Authors and Affiliations
Ronald Parulian Hutabarat, Isfenti Sadalia, Nisrul Irawati,
Keywords
Related Articles
- EP ID EP766432
- DOI 10.47191/ijcsrr/V8-i5-30
- Views 32
- Downloads 0
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