The scope of the operation is not unlike the search for new prime numbers, which also requires tremendous amounts of computing power.
Long term relationships also strengthen, to some extent, around areas indicated as bubbles. The previously observed long term relationship between Google Trends and Bitcoin price [8] can also be seen here, between late 2012 and 2014 (period band 64–256). With the benefit of extra data it can be observed that the relationship disappears around 2014 (for lower period bands) and 2015 (for higher period bands), before the relationships start occurring more consistently in 2016 and 2017 (a region with a number of bubbles identified). The previously observed relationship between Wikipedia views and Bitcoin observed in 2013 (64–128 band), disappears before again returning in mid-2016 and 2017.
.
While fluctuations are expected, Noble says this swing is a bit out of the ordinary. “I thought the market was maturing and these things would be less frequent and severe. Boy was I wrong,” he says.
Biais, B., C. Bisiere, M. Bouvard, C. Casamatta, and A. J. Menkveld (2018), “Equilibrium Bitcoin pricing”, Working paper .
This section details the data used in this work; all data collection was undertaken while following the appropriate terms of service and privacy conditions of each respective data source outlined below.
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