TECHNICAL ANALYSIS OF BOLLINGER BANDS INDICATORS AND RELATIVE STRENGTH INDEX IN DETERMINING SELL AND BUY SIGNALS OF BITCOIN CRYPTOCURRENCY COMMUDITIES

Authors

  • I Made Krisna Wardana Management, Faculty of Economics and Business, Udayana University
  • I Gde Kajeng Baskara Management, Faculty of Economics and Business, Udayana University

Keywords:

Bollinger Bands, Relative Strength Index, Cryptocurrency, sell signal, buy signal, Bitcoin, technical analysis.

Abstract

This research aims to analyze the accuracy of the Bollinger Bands and Relative Strength Index (RSI) technical indicators in determining buy and sell signals on Cryptocurrency, especially Bitcoin. Based on data from 2021 to 2023, there has been a significant increase in the number of Cryptocurrency investors in Indonesia. Bollinger Bands measure volatility and help determine the right time to enter or exit the market, while RSI helps identify overbought or oversold conditions. The research results show that of the total of 15 signals identified using the daily timeframe, Bollinger Bands succeeded in providing accurate predictions 10 times with an accuracy rate of 66.7%. The RSI indicator shows an accuracy rate of 60%, with 3 out of 5 signals successful. Bollinger Bands tend to provide more signals because they base their predictions on price movements against their own band lines, RSI focuses more on overbought and oversold conditions, providing sharper and more accurate signals, but the limitations of both indicators are seen in bullish market conditions, where they do not there is a buy signal that is generated when the price of Bitcoin experiences a significant increase. This research concludes that although both indicators have their respective advantages and disadvantages, traders can use them accurately to identify trading opportunities on Bitcoin.

References

Agusta, IMAI, Barakbah, A., & Fariza, A. (2022). Technical Analysis Based Automatic Trading Prediction System for Stock Exchange using Support Vector Machine. EMITTER International Journal of Engineering Technology, 279–293. https://doi.org/10.24003/emitter.v10i2.740

Alhilfi, M. (2019). Role of using the Relative Strength Index in Making Speculation Decisions in Stock Applied Research in the Iraq Stock Exchange. International Journal of Academic Research in Accounting, Finance and Management Sciences, 9(1). https://doi.org/10.6007/ijarafms/v9-i1/5855

Ao, S.-I., Castillo, O., Douglas, C., Feng, D.D., Korsunsky, A., & International Association of Engineers. (2020). International MultiConference of Engineers and Computer Scientists: IMECS 2018: 14-16 March, 2018, the Royal Garden Hotel, Kowloon, Hong Kong.

Ardityawati, L., & Candraningrat, IR (2023). Udayana University Economics and Business E-Journal The Influence of Capital Structure, Profitability and Liquidity on Share Returns of Consumer Goods Sector Companies on the Indonesian Stock Exchange. Month, 12(06), 1207–1215. https://ojs.unud.ac.id/index.php/EEB/

Ariwibowo, T. (2022). The Effectiveness of Technical Analysis for Cryptocurrency Profitability in the Spot Market (Analysis of Cryptocurrency Profitability in the Spot Market Using a Technical Analysis Approach). JEMSI.

Atul Latipah, N., & Syafitri, W. (2024). Analysis of the Accuracy of Stock Price Signal Movement Indicators on the LQ45 Index. http://jurnal.anfa.co.id/index.php/mufakat

Badruzaman, J. (2019). Analysis of Relative Strength Index and Earning Per Share on Stock Price. Asian Journal of Economics, Business and Accounting, 1–9. https://doi.org/10.9734/ajeba/2019/v12i430157

Baihaqi Akbar Nugroho, T., Bara Kusuma, Y., Raya Rungkut Madya No, J., & Anyar, G. (2024). Technical Analysis and Fundamental Analysis of the Feasibility of Purchasing PT Bank Negara Indonesiaia Tbk (BBNI) Shares. 2(2), 43–52. https://doi.org/10.61132/menawan.v2i2.245

BAPPEBTI. (2022, October 12). Bappebti notes that the number of crypto investors has jumped 43.75%, this is the response from the CEO of Indodax. https://bappebti.go.id/pojok_media/detail/11412

Bhargavi, R., Associate Professor, B.R., & Gumparthi Professor, S. (2017). Relative Strength Index for developing effective trading strategies in constructing optimal portfolios. In Article in International Journal of Applied Engineering Research (Vol. 12). http://www.ripublication.com

Ching Leong, F., & Mohamad, M. (2022). Technical Analysis of Malaysia Stock Performance. Sciences and Technology, 2(1), 332–341. https://doi.org/10.30880/ekst.2022.02.01.036

Cornelia Lyman. (2022, January 7). 5 Most Accurate Trading Indicators According to Experts. https://pintu.co.id/blog/5-indikator-trading-paling-akurat-menrut-para-ahli

Daniswara, DA, Widjanarko, H., & Hikmah, K. (2022). The Accuracy Test Of Technical Analysis Of Moving Average, Bollinger Bands, And Relative Strength Index On Stock Prices Of Companies Listed In Index Lq45. Indicators: Scientific Journal of Management and Business, 6(2), 16. https://doi.org/10.22441/indikator.v6i2.14806

Day, M.Y., Cheng, Y., Huang, P., & Ni, Y. (2023). The profitability of Bollinger Bands trading bitcoin futures. Applied Economics Letters, 30(11), 1437–1443. https://doi.org/10.1080/13504851.2022.2060494

Edianto Ong. (2016). Technical Analysis for Mega Profit.

Farild, M., Izzulhaq Sawaji, M., & Poddala, P. (2023). Technical analysis as a basis for decision making in stock transactions. Journal of Management Economics and Accounting (Vol. 25).

Felisiah, E., & Yanti Natalia, E. (2023). Analysis of Investment Knowledge, Investment Returns and Investment Motivation on Investment Interests of Batam City Accounting Students. ECo-Buss.

Gazizova, D., & Agcaoili, K. (nd). Technical Analysis in the Cryptocurrency Market. https://doi.org/10.48762/2022.554

Gunarsih, T. (2020). Stock Technical Analysis Using a Comparison of the Variable Index Dynamic Average (Vidya) Indicator and the Relative Strength Index (Rsi) Indicator" The Dynamic Relationship Between Spot And Futures Of Cpo View Project. https://www.researchgate.net/publication/340469193

Harooni, M.U., & Alvan, A. (2023). The Relationship Between Bitcoin Price And Macroeconomic Variables. https://www.researchgate.net/publication/370872683

Hartono. (2020). Technical Analysis of Top 5 Big Capitalization Stock Price Movements Using the Fibonacci Retracement Ratio and Moving Average Convergence Divergence (MACD) Approach. In Economic Journal (Vol. 22, Issue 1).

Ilham, RN, Sinta, I., Sinurat, M., Malikussaleh, U., Tinggi, S., Ekonomi, I., Karya, B., & Tinggi, T. (2022). The Effect Of Technical Analysis On Cryptocurrency Investment Returns With The 5 (Five) Highest Market Capitalizations In Indonesia-Rico Nur Ilham, Irada Sinta. Journal of Economics, 11(02). http://ejournal.seaninstitute.or.id/index.php/Ekonomi

Jain, R., Bhardwaj, P., & Soni, P. (2022). Can the Market of Cryptocurrencies Be Followed with the Technical Analysis? International Journal for Research in Applied Science and Engineering Technology, 10(4), 2425–2445. https://doi.org/10.22214/ijraset.2022.41760

Jayati, NDNS, Wiksuana, I. Gst. Bgs., & Jatra, IM (2023). The Role of Behavioral Biases in Mediating the Influence of Financial Literacy and Sociodemographic Factors on Stock Investment Decisions. Udayana University Management E-Journal, 12(8), 778. https://doi.org/10.24843/ejmunud.2023.v12.i08.p02

Canisius. (2010). Theory and Application Investment Portfolio (First).

KSEI. (2023). Indonesian Capital Market Statistics. www.ksei.co.id

Lento, C., & Gradojevic, N. (2022). The Profitability of Technical Analysis during the COVID-19 Market Meltdown. Journal of Risk and Financial Management, 15(5). https://doi.org/10.3390/jrfm15050192

Mappadang, A. (2021). Investment & Portfolio Management.

Maulana, A. (2022). Divergence Signals on the Relative Strength Index Indicator as a Determinant of Stock Trend Reversal Momentum. National Seminar on Capital Market Research 2(1)

Mayangsari, N. luh A., & Wiagustini, NLP (2022). Market Reaction Before and After Stock Split. Udayana University Management E-Journal, 11(4), 804. https://doi.org/10.24843/ejmunud.2022.v11.i04.p09

Most. (2022). Indicators Frequently Used in Trading/ Economic Journal, 11(02). http://ejournal.seaninstitute.or.id

Muis, IS, Prajawati, MI, & S, B. (2021). Technical Analysis of Stock Returns with Bollinger Band, Parabolic SAR, and Stochastic Oscillator Indicators. Ocean Journal of Economics and Business, 12(2), 143–153. https://doi.org/10.33059/jseb.v12i2.2467

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Published

2024-08-09

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