Bitcoin Price Prediction Using RNN And LSTM
Author(s):
CHIRAG NEGI, ARJUN SONKAR, DR. ANURADHA KONIDENA
Keywords:
Bitcoin, prediction, Machine Learning, bitcoin, RNN, LSTM
Abstract
There is constant increase in the usage of bitcoin. The development in technology and hi-tech tools is impacting significantly on the price of the bitcoin which has become an extremely serious problem. Furthermore, bitcoin as a currency is in a non-permanent stage and as a result is more volatile than other currencies such as INR. However, it is top performing currency of the last few years. Hence, its price prediction offers great opportunity and thus provides motivation for research in this area. Factors like exchange closures, replacing crypto currencies, speculation markets, and large amounts of information poses a challenge to analyze such data and identify similarities or relations between the data. Also, there is another challenge, i.e. inconsistency that can occur in the data due to incompleteness in the datasets. The machine learning technique we have proposed for prediction of bitcoin price is recurrent neural networks and LSTM (Long Short-Term Memory) to predict the price of bitcoin. The main goal of the system is to analyze and study the hidden patterns and relationships between the data present in bitcoin dataset. Bitcoin price prediction problem solution can provide extremely useful information which will led or we can say which will prevent investors from losing money invested on bitcoin. In addition, the ability to predict the price of an asset such as bitcoin offers the opportunity for profit by trading it.
Article Details
Unique Paper ID: 155374

Publication Volume & Issue: Volume 8, Issue 10

Page(s): 57 - 60
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