Table 1.

Basic information about all qualified bubbles. Dates and characteristics defining each bubble cycle. For each bubble, we provide the associated timeframe consisting of the bubble start date $t_1^{\ast }$, its peak date t_peak and the crash end date t_ce. Crash start dates, which are not listed here, by definition occur one day after the individual peak times. Furthermore, as an absolute measure, Bitcoin prices in US Dollars (rounded to integer numbers) at the individual peak and crash end dates are quoted. The respective durations of the bubbles in days, as well as the bubble and crash sizes (in %) are given in the next three columns. As described in the text, these properties were calculated based on the previously identified bubble timeframes. Moreover, they were calculated based on exact prices (and not based on the rounded ones that are given in this table). The last column in the short bubble part of the table indicates whether a potential bubble passed (Y) or did not pass (N) the bubble filtering conditions defined in the main text.

no.	start $t_1^{\ast }$	peak tpeak	crash end tce	P[tpeak]	P[tce]	duration (days)	bubble size (%)	crash size (%)
long bubble data
1	28 May 2012	9 Apr 2013	16 Apr 2013	229	68	316	4416	−70.27
2	3 July 2013	4 Dec 2013	14 Jan 2015	1132	172	154	1367	−84.83
3	15 Jan 2016	18 Dec 2017	25 Dec 2017	18941	13911	703	5152	−26.55
short bubble data
1	7 May 2012	16 Aug 2012	20 Aug 2012	13.4	10.1	101	165	−25.11	Y
2	15 Apr 2014	3 June 2014	25 June 2014	670	560	49	28	−16.38	Y
3	30 June 2014	14 Oct 2014	23 Oct 2014	403	357	106	− 37	−11.45	N
4	23 Oct 2014	11 Mar 2015	13 Apr 2015	297	223	139	− 16	−24.75	N
5	13 Apr 2015	27 Jul 2015	24 Aug 2015	294	210	105	31	−28.74	Y
6	26 Aug 2015	4 Nov 2015	11 Nov 2015	408	310	70	80	−24.04	Y
7	15 Jan 2016	16 June 2016	2 Aug 2016	767	540	153	112	−29.56	Y
8	3 Aug 2016	4 Jan 2017	11 Jan 2017	1115	779	154	97	−30.16	Y
9	24 Mar 2017	6 June 2017	7 June 2017	2881	2683	74	210	−6.86	Y
10	7 June 2017	1 Sep 2017	14 Sep 2017	4922	3228	86	83	−34.42	Y