In this thesis there will be an attempt to model the market price of cryptocurrencies. Since 2010 cryptocurrencies have gone from being fairly unknown to being familiar amongst the general public which increases the need for knowledge on what affects the market price of cryptocurrencies. These connections will be found by statistical analysis and be applied on cryptocurrency data from January 2012 to January 2015. The data will be modelled by linear regression and implemented in R after the data have been formatting in Excel. The results suggest that the price of cryptocurrencies depends heavily on the search traffic on the specific cryptocurrency name on Google’s search engine.