Peramalan Harga Bitcoin Menggunakan Metode Moving Average
DOI:
https://doi.org/10.61132/saturnus.v3i3.952Keywords:
Bitcoin, Moving Average, Price PredictionAbstract
Bitcoin is one of the most prominent digital assets in the modern financial era due to its high volatility and huge profit potential. However, its extreme price volatility also makes it a high-risk asset, so a reliable forecasting approach is needed to help investors make more rational decisions. This study aims to forecast Bitcoin price using the Moving Average (MA) method, specifically MA3, by utilizing monthly historical data of Bitcoin price in USD currency obtained from investing.com website. The MA3 method was chosen for its ability to smooth out short-term fluctuations and identify the direction of price trends. The forecasting process is performed by calculating the average of the last three months' prices for each point in time and compared to the actual price to evaluate its accuracy. The evaluation is done using various prediction error metrics, namely Error, Absolute Error, Squared Error, and Percentage Error. The results of the analysis show that the MA method provides a fairly representative picture of price trends and can be used as an early indicator in short-term investment strategies. Thus, the Moving Average method proves to be a simple but effective prediction tool, especially for novice investors in the dynamic crypto asset market.
References
Aryanusa, A., & Zahara, S. (2022). Analisis prediksi harga Bitcoin dengan menggunakan metode ARIMA [Analysis of Bitcoin price prediction using ARIMA method]. Jurnal Ilmiah Teknologi Informasi dan Sains, 4(1), 15–18. http://ejurnal.unim.ac.id/index.php/submit
Badan Pengawas Perdagangan Berjangka Komoditi (BAPPEBTI). (2023). Statistik pasar fisik aset kripto Indonesia. https://bappebti.go.id
Bouoiyour, J., & Selmi, R. (2015). What does Bitcoin look like? Annals of Economics and Finance, 16(2), 449–492. https://doi.org/10.2139/ssrn.2519481
Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. The Journal of Finance, 47(5), 1731–1764. https://doi.org/10.1111/j.1540-6261.1992.tb04681.x
Dewi, C. (2022). Tingkat akurasi indikator analisis teknikal dalam menentukan sinyal jual dan beli saham pada perusahaan sub sektor konstruksi bangunan di BEI periode 2013–2017. [Unpublished manuscript].
Dyhrberg, A. H. (2016). Hedging capabilities of Bitcoin. Finance Research Letters, 16, 139–144. https://doi.org/10.1016/j.frl.2015.10.025
Fama, E. F., & French, K. R. (1988). Permanent and temporary components of stock prices. Journal of Political Economy, 96(2), 246–273. https://doi.org/10.1086/261535
Hadijah, S., Auliasari, K., & Xaverius Ariwibisono, F. (2024). Peramalan harga saham menggunakan metode simple moving average dan web scraping. JATI (Jurnal Mahasiswa Teknik Informatika), 8(2), 1271–1278. https://doi.org/10.36040/jati.v8i2.9090
Kristoufek, L. (2015). What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis. PLOS ONE, 10(4), e0123923. https://doi.org/10.1371/journal.pone.0123923
Murphy, J. J. (1999). Technical analysis of the financial markets. New York Institute of Finance.
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. https://bitcoin.org/bitcoin.pdf
Nurfalah, R., Baturohmah, H., & Ayuningsih, R. R. (2023). Analisis tingkat akurasi signal indikator exponential moving average pada Bitcoin (periode 2017–2023). Jurnal Informatika Teknologi dan Sains (Jinteks), 5(3), 446–453. https://doi.org/10.51401/jinteks.v5i3.2969
Sembiring, F., Gustian, D., Erfina, A., & Vikriansyah, Y. (2021). Analisis tingkat akurasi algoritma moving average dalam prediksi pergerakan uang elektronik Bitcoin. JUTISI: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, 10(1), 23. https://doi.org/10.35889/jutisi.v10i1.577
Tapscott, D., & Tapscott, A. (2016). Blockchain revolution: How the technology behind Bitcoin is changing money, business, and the world. Penguin Random House. https://doi.org/10.1515/9781400882318
Yermack, D. (2013). Is Bitcoin a real currency? An economic appraisal. NBER Working Paper No. 19747. https://doi.org/10.3386/w19747
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