Effectiveness of RSI and Bollinger Bands in Identifying Buy and Sell Signals
DOI:
https://doi.org/10.30741/wiga.v15i1.1443Keywords:
Bollinger Bands, Buy and Sell Signals, RSI, Technical AnalysisAbstract
This research compares the accuracy levels of the RSI indicator and Bollinger Bands and evaluates their combination in determining buy and sell signals for stocks in IDXMESBUMN17. This index comprises 17 State-Owned Enterprises (SOEs) that comply with sharia principles. The study population includes all companies listed in IDXMESBUMN17, with the sample selected through purposive sampling based on three criteria, resulting in seven issuers: ANTM, ELSA, PTPP, SMBR, TLKM, WEGE, and WTON. Data was collected using documentation techniques, capturing buy and sell movements from chart intersections generated between January and December 2023 using Profits Anywhere software. The Mann-Whitney test was employed for data analysis, revealing a significant difference in accuracy levels. The RSI indicator achieved an accuracy of 65.6%, Bollinger Bands 70.2%, and their combination 87.5%. These findings indicate that combining RSI and Bollinger Bands provides a more accurate method for identifying buy and sell signals than using either indicator alone. This suggests that investors can enhance their trading decisions by integrating both indicators to optimize stock market strategies.
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References
Akbar, A. (2024). Analisis Teknikal Saham Menggunakan Indikator Bollinger Bands dan Relative Strenght Indeks untuk Pengambilan Keputusan Investasi. https://doi.org/10.54209/jasmien
Akbar, A. S., & Mulyani, S. (2022). Technical Analysis of Stock Using Bollinger Bands Indicators and Relative Strenght Index for Investment Decision Making. In Kapital Deli Sumatera: Vols. I, No.I.
Apriliani, I., Hidayati, A. N., Manajemen, M. J., Syariah, K., Sayyid, U., Tulungagung, A. R., & Uin, D. (2023). Analisis Teknikal Sebagai Dasar Pengambilan Keputusan dalam Jual Beli Saham pada JII-20 Periode 2020-2021. 3(2), 2808–7089. https://doi.org/10.21274
Ayala, J., García-Torres, M., Noguera, J. L. V., Gómez-Vela, F., & Divina, F. (2021). Technical analysis strategy optimization using a machine learning approach in stock market indices [Formula presented]. Knowledge-Based Systems, 225. https://doi.org/10.1016/j.knosys.2021.107119
Beyazid Yeldrim Alhaziva, M., & Herdiana, R. (2023). International Journal of Current Science Research and Review Analysis and Prediction of Bollinger Bands to Predict Stock Prices in Determining Investment Strategies. https://doi.org/10.47191/ijcsrr/V6-i11-20
Bursa Efek Indonesia. (2024, August 31). Indeks Saham. Https://Www.Idx.Co.Id/Id/Produk/Indeks/.
Chien, F., Sadiq, M., Hafiz, &, Kamran, W., Atif Nawaz, M., Muhammed, &, Hussain, S., & Raza, M. (2021). Co-movement of energy prices and stock market return: environmental wavelet nexus of COVID-19 pandemic from the USA, Europe, and China. https://doi.org/10.1007/s11356-021-12938-2/Published
Connelly, B. L., Certo, S. T., Reutzel, C. R., DesJardine, M. R., & Zhou, Y. S. (2024). Signaling Theory: State of the Theory and Its Future. Journal of Management. https://doi.org/10.1177/01492063241268459
Dockery, E., & Todorov, I. (2023). Further evidence on the returns to technical trading rules: Insights from fourteen currencies. Journal of Multinational Financial Management, 69, 100808. https://doi.org/10.1016/j.mulfin.2023.100808
Firdaus, R. G. (2021). Analisis Teknikal Saham Menggunakan Indikator RSI dan Bollinger Bands pada Saham Konstruksi. Jurnal Pasar Modal Dan Bisnis, 3(1), 15–26. https://doi.org/10.37194/jpmb.v3i1.60
Ho, T.-T., & Huang, Y. (2021). Stock Price Movement Prediction Using Sentiment Analysis and CandleStick Chart Representation. Sensors, 21(23), 7957. https://doi.org/10.3390/s21237957
Keppo, I., Butnar, I., Bauer, N., Caspani, M., Edelenbosch, O., Emmerling, J., Fragkos, P., Guivarch, C., Harmsen, M., Lefevre, J., Le Gallic, T., Leimbach, M., Mcdowall, W., Mercure, J. F., Schaeffer, R., Trutnevyte, E., & Wagner, F. (2021). Exploring the possibility space: taking stock of the diverse capabilities and gaps in integrated assessment models. In Environmental Research Letters (Vol. 16, Issue 5). IOP Publishing Ltd. https://doi.org/10.1088/1748-9326/abe5d8
KSEI (Kustodian Sentral Efek Indonesia). (2024, January). Statistik Pasar Modal Indonesia. Https://Www.Ksei.Co.Id/.
Lian Winny, D. S. (2021). Pengaruh Economic Value Added dan return On Equity (ROE) Terhadap Harga Saham pada perusahaan Investasi yang Terdaftar Di BEI Tahun 2016-2019. JURNAL AKUNTANSI UNIHAZ -JAZ, 4, 138–145.
Lutey, M., & Rayome, D. (2022). BOLLINGER BAND, AND RELATIVE STRENGTH INDEX PRICE ANALYSIS. International Journal of Business Research, 22(2), 34–41. https://doi.org/10.18374/ijbr-22-2.4
Martia, D. Y., & Yasmine, N. I. (2021). Indikator Simple Moving Average dan Relative Strenght Index untuk Menentukan sinyal Beli dan Jual Saham pada Sektor Infrastruktur. Jurnal Pasar Modal Dan Bisnis, 3(1), 27–38. https://doi.org/10.37194/jpmb.v3i1.67
Martín-García, R., Pérez, E. V., & Arguedas-Sanz, R. (2020). Temporal optimisation of signals emitted automatically by securities exchange indicators. Cuadernos de Gestion, 20(3), 61–71. https://doi.org/10.5295/cdg.170851rm
Minh Ngoc, N., Doan Minh Duc, L., Hoang Tien, N., Minh Hieu, V., Thuy Tram, D., Thanh District, B., & Chi Minh City, H. (2023). The relevance of factors affecting real estate investment decisions for post pandemic time. In No. Y, xxxx 1 J. Business and Globalisation: Vol. X (Issue Y).
Montalvo, S., Gonzalez, M. P., Dietze-Hermosa, M. S., Eggleston, J. D., Dorgo, S., Paso, E., & Fulton Gait, S. E. (2021). Common Vertical Jump and Reactive Strength Index Measuring Devices: A Validity and Reliability Analysis. www.nsca.com
Mukhsin, M., Sukarno, H., & Paramui, H. (2024). Wiga: Jurnal Penelitian Ilmu Ekonomi Stock Price Volatility: An Efficiency Test of The Indonesian Stock Exchange in Semi-Strong Form. 14(2), 322. https://doi.org/10.30741/wiga.v14i2.1307
Nerlinger, M., & Utz, S. (2022). The impact of the Russia-Ukraine conflict on energy firms: A capital market perspective. Finance Research Letters, 50. https://doi.org/10.1016/j.frl.2022.103243
Niska. (2024, April 30). IDX-Mes BUMN 17 – Menelusuri Dinamika Indeks IDX-MES BUMN 17: Analisis Mendalam dan Pandangan Masa Depan. Https://Jadibumn.Id/.
Oktaba, P., & Grzywińska-Rąpca, M. (2024). Predicting Price Trends in the Wheat Market Using Technical Analysis Indicators. Econometrics, 28(2), 18–31. https://doi.org/10.15611/eada.2024.2.02
Ong Edianto. (2016). Technical Analysis for Mega Profits. PT Gramedia PustakaUnatam.
Panigrahi, A. K., Vachhani, K., & Chaudhury, S. K. (2021). Trend identification with the relative strength index (RSI) technical indicator –A conceptual study. Journal of Management Research and Analysis, 8(4), 159–169. https://doi.org/10.18231/j.jmra.2021.033
Patrick E, McKnight, & Julius Najab. (2010). Mann–Whitney U Test. In Encyclopedia of Research Design. SAGE Publications, Inc. https://doi.org/10.4135/9781412961288.n228
Pramudya, R., & Pramudya, R. (2020). Technical Analysis To Determine Buying And Selling Signal In Stock Trade. International Journal of Finance & Banking Studies (2147-4486), 9(1), 58–67. https://doi.org/10.20525/ijfbs.v9i1.666
Putri, M., & Shabri, H. (2022). Analisis Fundamental dan Teknikal Saham PT. Bank BTPN Syariah Tbk. In Journal Islamic Banking and Finance (Vol. 2, Issue 1). http://ojs.iainbatusangkar.ac.id/ojs/index.php/Albank
Rijken Irahadi, D., Stevani Sianturi, M., Suk Kim, S., Kunci, K., Pergerakan, R.-R., Kekuatan Relatif, I., & Oscillator, S. (2022). Penggunaan Indikator Analisa Teknikal pada Pasar Saham di Indonesia.
Šarabon, N., Milinović, I., Dolenec, A., Kozinc, Ž., & Babić, V. (2022). The Reactive Strength Index in Unilateral Hopping for Distance and Its Relationship to Sprinting Performance: How Many Hops Are Enough for a Comprehensive Evaluation? Applied Sciences, 12(22), 11383. https://doi.org/10.3390/app122211383
Setiadi Galuh. (2022). Analisis Teknikal Saham Menggunakan Indikator Rsi dan Bollinger Bands pada Saham Berbasis Komoditas Timah dan Nikel. 6.
Shahvaroughi Farahani, M., & Razavi Hajiagha, S. H. (2021). Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models. Soft Computing, 25(13), 8483–8513. https://doi.org/10.1007/s00500-021-05775-5
Soumaré, I., Kanga, D., Tyson, J., & Raga, S. (2021). Capital market development in sub-Saharan Africa: Progress, challenges and innovations The ODI research series for financial development in Africa.
Su, G. (2024). Analysis of the Bollinger Band Mean Regression Trading Strategy (pp. 95–102). https://doi.org/10.2991/978-94-6463-246-0_11
Suttipun, M. (2023). ESG Performance and Corporate Financial Risk of the Alternative Capital Market in Thailand. Cogent Business and Management, 10(1). https://doi.org/10.1080/23311975.2023.2168290
Taj, S. A. (2016). Application of signaling theory in management research: Addressing major gaps in theory. European Management Journal, 34(4), 338–348. https://doi.org/10.1016/j.emj.2016.02.001
Valle-Cruz, D., Fernandez-Cortez, V., López-Chau, A., & Sandoval-Almazán, R. (2022). Does Twitter Affect Stock Market Decisions? Financial Sentiment Analysis During Pandemics: A Comparative Study of the H1N1 and the COVID-19 Periods. Cognitive Computation, 14(1), 372–387. https://doi.org/10.1007/s12559-021-09819-8
Vergura, S. (2020). Bollinger bands based on exponential moving average for statistical monitoring of multi-array photovoltaic systems. Energies, 13(15). https://doi.org/10.3390/en13153992
Yasar, B., Martin, T., & Kiessling, T. (2020). An empirical test of signalling theory. Management Research Review, 43(11), 1309–1335. https://doi.org/10.1108/MRR-08-2019-0338
Zatwarnicki, M., Zatwarnicki, K., & Stolarski, P. (2023). Effectiveness of the Relative Strength Index Signals in Timing the Cryptocurrency Market. Sensors, 23(3). https://doi.org/10.3390/s23031664
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