Navigating Bitcoin Panic-Selling using Linear Approach

Main Article Content

Agi Prasetiadi

Abstract

COVID-19 affects significant human activity around the globe, including Bitcoin prices. The Bitcoin price is well known for its volatility, so it is not a big shocker when the panic-selling occurs during the pandemic. However, the mechanism to cope with these breakouts, especially the bearish one, is contentious. The experts give numerous advice with different conclusions in the end. It is also the same with Machine Learning. Various kernels show different results regarding how the price will move. It depends on multiple factors from the window size, how the data is being preprocessed, to the algorithm used. This paper inspects the best combination that various machine learning can offer with linear approach to navigate the price prediction based on its depth interval, window size, the distance of prediction steps until the algorithms itself. The result shows that simple machine learning can herd 99.715% profit even during the bearish breakout.

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How to Cite
[1]
A. Prasetiadi, “Navigating Bitcoin Panic-Selling using Linear Approach”, INFOTEL, vol. 12, no. 4, Nov. 2020.
Section
Informatics

References

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