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15 A Study and
Experimentation on
Bitcoin Price Forecasting
with Time Series Analysis
and Recurrent Neural
Network (RNN)
Martin Aruldoss, V. Adarsh and
Miranda Lakshmi Travis
15.1 INTRODUCTION
Bitcoin is considered a widely recognized cryptocurrency in the digital world and is
one of the well-recognized investment assets (Chen et al., 2020c). Cryptocurrency
provides a platform to transfer currency from one end to another end safely without
any identification (anonymously). It has created an impact on the global economic
system, and this is not managed by any government or any centralized agencies. It
is mobilized digitally through cryptography and peer-to-peer protocols (Jalali and
Heidari, 2020). Many investors started to think about bitcoin as one of the very saf
est investments compared with gold, platinum, safety bonds and so on. However,
during the pandemic situation resulting from the first and second waves of COVID-
19, the assumptions about bitcoin being the safest asset failed because of its drastic
fluctuations. Also, many queries have been posted on Google about the safety of this
decentralized investment (Chen et al., 2020a).
CONTENTS
15.1 Introduction...................................................................................................247
15.2 Literature Review..........................................................................................248
15.3 ARIMA with Recurrent Neural Network for Forecasting............................249
15.4 Experimentation............................................................................................250
15.5 Results and Discussion.................................................................................. 251
15.6 Conclusion.....................................................................................................255
References...............................................................................................................256
DOI: 10.1201/9781003138082-15