Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies.

Research paper by Young Bin YB Kim, Jun Gi JG Kim, Wook W Kim, Jae Ho JH Im, Tae Hyeong TH Kim, Shin Jin SJ Kang, Chang Hun CH Kim

Indexed on: 18 Aug '16Published on: 18 Aug '16Published in: PloS one


This paper proposes a method to predict fluctuations in the prices of cryptocurrencies, which are increasingly used for online transactions worldwide. Little research has been conducted on predicting fluctuations in the price and number of transactions of a variety of cryptocurrencies. Moreover, the few methods proposed to predict fluctuation in currency prices are inefficient because they fail to take into account the differences in attributes between real currencies and cryptocurrencies. This paper analyzes user comments in online cryptocurrency communities to predict fluctuations in the prices of cryptocurrencies and the number of transactions. By focusing on three cryptocurrencies, each with a large market size and user base, this paper attempts to predict such fluctuations by using a simple and efficient method.