Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey

AM Khedr, I Arif, M El‐Bannany… - Intelligent Systems in …, 2021 - Wiley Online Library
Cryptocurrencies are decentralized electronic counterparts of government‐issued money.
The first and best‐known cryptocurrency example is bitcoin. Cryptocurrencies are used to …

A scientometric review of blockchain research

L Zhou, L Zhang, Y Zhao, R Zheng, K Song - Information Systems and e …, 2021 - Springer
As a new and rapidly developing distributed technology, blockchain has shown substantial
impact on the fields of cryptocurrency and e-commerce and thus has attracted the interests …

Social commerce as a driver to enhance trust and intention to use cryptocurrencies for electronic payments

JC Mendoza-Tello, H Mora, FA Pujol-López… - Ieee …, 2018 - ieeexplore.ieee.org
The deployment of cryptocurrencies in e-commerce has reached a significant number of
transactions and continuous increases in monetary circulation; nevertheless, they face two …

A differential evolution-based regression framework for forecasting Bitcoin price

RK Jana, I Ghosh, D Das - Annals of Operations Research, 2021 - Springer
This research proposes a differential evolution-based regression framework for forecasting
one day ahead price of Bitcoin. The maximal overlap discrete wavelet transformation first …

Mapping potential impact areas of Blockchain use in the public sector

MP Rodríguez Bolívar, HJ Scholl - Information Polity, 2019 - journals.sagepub.com
While the financial sector was the first to investigate the potential of Blockchain, and in more
general terms, Distributed Ledger Technology (DLT), with an initial focus on digital …

Quantitative cryptocurrency trading: exploring the use of machine learning techniques

G Attanasio, L Cagliero, P Garza, E Baralis - … of the 5th Workshop on Data …, 2019 - dl.acm.org
Machine learning techniques have found application in the study and development of
quantitative trading systems. These systems usually exploit supervised models trained on …

Forecasting the diffusion of product and technology innovations: Using google trends as an example

D Duwe, F Herrmann, D Spath - 2018 Portland International …, 2018 - ieeexplore.ieee.org
Product innovations represent the backbone of sustainable entrepreneurial success. In
times of increasingly short development and life cycles of products on the one hand and an …

[PDF][PDF] How do large stakes influence bitcoin performance? Evidence from the Mt. Gox liquidation case

T Kremser, S Radszuwill, A Schweizer, B Steffek - 2019 - core.ac.uk
Bitcoin as the first and still most important decentralized cryptocurrency has gained wide
popularity due to the steep rise of its price during the second half of 2017. Because of its …

Innovación disruptiva de las criptomonedas para la sociedad y el comercio electrónico

JC Mendoza-Tello - 2019 - rua.ua.es
Las criptomonedas se han convertido en una innovación disruptiva para la sociedad debido
a que definen un nuevo paradigma en las relaciones de los agentes económicos: la …

Machine Learning Sentiment Analysis in Detection System for Rupiah Currency Value Using SysML Language

R Aurachman, L Ramadani… - Journal of Physics …, 2021 - iopscience.iop.org
Currency values fluctuate. Some research has tried to find ways to predict the value. One
that can be a sign and a trigger for changes in currency values is the people's sentiment …