Ekonomikalia Journal of Economics
Vol. 1 No. 1 (2023): July 2023

Deep Learning-Based Bitcoin Price Forecasting Using Neural Prophet

Noviandy, Teuku Rizky (Unknown)
Maulana, Aga (Unknown)
Idroes, Ghazi Mauer (Unknown)
Suhendra, Rivansyah (Unknown)
Adam, Muhammad (Unknown)
Rusyana, Asep (Unknown)
Sofyan, Hizir (Unknown)



Article Info

Publish Date
06 Jul 2023

Abstract

This study focuses on using the Neural Prophet framework to forecast Bitcoin prices accurately. By analyzing historical Bitcoin price data, the study aims to capture patterns and dependencies to provide valuable insights and predictive models for investors, traders, and analysts in the volatile cryptocurrency market. The Neural Prophet framework, based on neural network principles, incorporates features such as automatic differencing, trend, seasonality considerations, and external variables to enhance forecasting accuracy. The model was trained and evaluated using performance metrics such as RMSE, MAE, and MAPE. The results demonstrate the model's effectiveness in capturing trends and predicting Bitcoin prices while acknowledging the challenges posed by the inherent volatility of the cryptocurrency market.

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Journal Info

Abbrev

eje

Publisher

Subject

Economics, Econometrics & Finance Energy Environmental Science

Description

Ekonomikalia Journal of Economics (EJE) stands as a distinguished global scholarly publication. It is dedicated to releasing original research articles and review papers of exceptional quality within the realm of economics. The primary aim of the journal is to foster cross-disciplinary research, ...