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

Journal Title: International Journal of Current Science Research and Review - Year 2023, Vol 6, Issue 11

Abstract

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.

Authors and Affiliations

Muhammad Beyazid Yeldrim Alhaziva, Sunarsih . , Ratna Herdiana,

Keywords

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  • EP ID EP723488
  • DOI 10.47191/ijcsrr/V6-i11-20
  • Views 97
  • Downloads 0

How To Cite

Muhammad Beyazid Yeldrim Alhaziva, Sunarsih . , Ratna Herdiana, (2023). Analysis and Prediction of Bollinger Bands to Predict Stock Prices in Determining Investment Strategies. International Journal of Current Science Research and Review, 6(11), -. https://www.europub.co.uk/articles/-A-723488