Price Prediction and Notification System for cryptocurrency Share Market Trading

Abstract

Cryptocurrencies are considered to be the next big thing in the financial sector and are the most emerging market in the current world. The amount of data available and the sophisticated architecture behind it make cryptocurrencies an excellent subject for research and thus an easy share to get deep insights of its value using machine learning for price prediction and sentiment analysis. While the previous works only used mathematical methods and various machine learning algorithms for predicting the price of cryptocurrency but forgot a vital and inseparable part that is the sentiments of the trading community which plays a vital and important role in determining and calculating the price of the share. This paper also included sentiment analysis of that share. The paper uses Long short term memory algorithm for predicting the price of the cryptocurrency and Vader sentiment analysis to predict the sentiment of the people by scrapping a news website. This paper also included a proposed methodology for creating a notification system using the dual moving cross-over technique. The result is an application which combines all three algorithms to create an efficient and accurate trading application.