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baotramduong/Bitcoin-Price-Prediction-using-Facebook-Prophet

In this work, we will approach the forecast of daily closing price series of the Bitcoin cryptocurrency using data on prices of prior years (January 2016 to August 2020).

Bitcoin Price Prediction using Facebook Prophet

Blog

Medium Blog

Introduction

Exploratory Data Analysis

Prediction

Future Work

  • Build LSTM RNN network to predict Bitcoin price minute-hour.

  • Incorporate other features besides price: technical/ blockchain-based, sentiment/interest-based, and asset-based features.

  • Other approaches: Generalized AutoRegressive Conditional Heteroscedasticity (GARCH) (Naimy & Hayek, 2018), Autoregressive Integrated Moving Average (ARIMA) (Sutiksno et al., 2018), Fast Wavelet Transform (Stocchi & Marchesi, 2018), etc.

  • Predict other cryptocurrencies i.e. Ethereum, Litecoin, Ripple and Cardano, etc.

Reference

Jha, A. (n.d.). Bitcoin price prediction using Facebook Prophet [MOOC]. Coursera. https://www.coursera.org/projects/bitcoin-price-prediction-using-facebook-prophet.

Reiff, N. (2021, July 26). Why bitcoin price predictions are unreliable. Investopedia. Retrieved September 11, 2021, from https://www.investopedia.com/tech/why-bitcoin-price-predictions-are-unreliable/#:~:text=One%20of%20the%20major%20problems,not%20be%20linked%20to%20fundamentals.

Languages

Jupyter Notebook100.0%

Contributors

Created August 28, 2021
Updated July 2, 2025
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