Crypto-currency is new emerging asset. Many people are trading in crypto currency for money making. To predict the correct trend in crypto coin fluctuation, technical analysis Is used. Many technical factors are present in analysis which help in predicting price trend. Few of this indicator are RSI, Ichimoku clouds, moving average convergence and divergence, different moving averages and Bollinger Band. This indicators are based on mathematical models. With advancement in data mining algorithm it is possible to use this indicators data as input and find out the price trend for different crypto currency. In this paper data pre-processing technique is used to remove noisy data, clustering is used to find cluster based on specified outputs. It is observed that accurate of this model is very good in predicting short term prices and fluctuation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.