Challenges and Opportunities for Deep Learning Applications in Industry 4.0

Author(s): Deepak Yadav and Dolly Sharma * .

DOI: 10.2174/9789815036060122010007

Currency Trend Prediction using Machine Learning

Pp: 85-108 (24)

Buy Chapters

* (Excluding Mailing and Handling)

  • * (Excluding Mailing and Handling)

Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

The field of cryptocurrency has witnessed exponential growth in popularity in recent years. Almost ten years ago, the release of Bitcoin marked the beginning of a new era of innovation in the financial sector. In this work, we outline what exactly defines a cryptocurrency, describing fundamental concepts, underlying technologies such as the blockchain, and subsequently the viability of this new digital financial asset. Building on this knowledge, we examine the infamous volatility of cryptocurrency prices, analyzing pricing data and the likelihood of these currencies, specifically Bitcoin, being in the midst of a financial bubble. We examine the prediction of prices, or rather the inability to do so, before introducing the Currency Analyzer web application developed as part of this work. Containing up to date prices, this application predicts the prices of Bitcoin using machine learning. The research, planning methodologies, technologies, and design and evaluation of this application are described in detail in this chapter, followed by a conclusion and future scope.

We recommend

Favorable 70-S: Investigation Branching Arrow

Authors:Bentham Science Books