Dissection of Bitcoin’s multiscale bubble history from January 2012 to February 2018


Date

2019-07-03

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

We present a detailed bubble analysis of the Bitcoin to US Dollar price dynamics from January 2012 to February 2018. We introduce a robust automatic peak detection method that classifies price time series into periods of uninterrupted market growth (drawups) and regimes of uninterrupted market decrease (drawdowns). In combination with the Lagrange Regularization Method for detecting the beginning of a new market regime, we identify three major peaks and 10 additional smaller peaks, that have punctuated the dynamics of Bitcoin price during the analysed time period. We explain this classification of long and short bubbles by a number of quantitative metrics and graphs to understand the main socio-economic drivers behind the ascent of Bitcoin over this period. Then, a detailed analysis of the growing risks associated with the three long bubbles using the Log-Periodic Power-Law Singularity (LPPLS) model is based on the LPPLS Confidence Indicators, defined as the fraction of qualified fits of the LPPLS model over multiple time windows. Furthermore, for various fictitious ‘present’ times t2 before the crashes, we employ a clustering method to group the predicted critical times tc of the LPPLS fits over different time scales, where tc is the most probable time for the ending of the bubble. Each cluster is proposed as a plausible scenario for the subsequent Bitcoin price evolution. We present these predictions for the three long bubbles and the four short bubbles that our time scale of analysis was able to resolve. Overall, our predictive scheme provides useful information to warn of an imminent crash risk.

Publication status

published

Editor

Book title

Volume

6 (7)

Pages / Article No.

180643

Publisher

Royal Society

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Bitcoin; K-means clustering; Multiscale bubble indicator; Log-periodic power-law singularity analysis; Forecasting; Market crashes

Organisational unit

03738 - Sornette, Didier (emeritus) / Sornette, Didier (emeritus) check_circle

Notes

Funding

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