Articles

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

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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.

Analysis and Prediction of Bollinger Bands to Predict Stock Prices in Determining Investment Strategies

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It is critical for stock investors to be able to forecast future stock values in order to determine potential gains or losses. A technical analysis approach can be used to anticipate stock prices in the realm of stock investment. A technical analysis approach was used to construct the Bollinger bands detecting application system. Technical analysis is a means of observing price variations over a specific time period by employing historical data and indicators. The goal of this research is to predict Bollinger bands and define the circumstances for buying and selling stocks in technical analysis. The object of this study is the closing price of BBRI.JK, BBCA.JK and BMRI.JK during 2022. Data is analyzed using Bollinger Bands and decision to buy the right stock is when the actual price of the stock intersects with the lower band because at that time the stock price is increasing, while the decision to sell the right is when the actual price of the stock intersects with the upper band because at that time the stock price will decrease. In addition, the results of the Bollinger bands prediction for n + 1 from the last day of the sample, December 30, are respectively the upper and lower Bollinger bands on January 2, 2023, which are 5.012,948 and 4.775,052 for BBRI.JK shares, 8.755,919 and 8.446,581 for BBCA.JK shares, and 5.321,991 and 4.764,259 for BMRI.JK shares.