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Crypto currency user research paper

Crypto currency user research paper

Crypto trading with algorithms

News 17 JAN Correspondence 09 JAN US and China likely. Article Google Scholar Easley, D. Quantum computers put blockchain security.

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How To DYOR: 12 Ways To Research Crypto Like A PRO
This paper examines the reasons behind the high adoption and low usage rate of cryptocurrency wallets, highlighting the factors impacting the. RESEARCH ARTICLE. Behavioral structure of users in cryptocurrency market. Ayana T. AspembitovaID. 1,2, Ling FengID. 2,3, Lock Yue ChewID. 1,4,5. This research paper identifies how people's cryptocurrency perceptions can be altered with the use of positive and negative cryptocurrency information. This.

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Over 12 technical indicators including Moving Average MA and Stochastic oscillator were used in experiments; adjusted gain, match count, relative market pressure and diversity measures have been used to quantify the attractiveness of technical patterns. Convolutional neural networks CNNs Lawrence et al. The rapid fluctuations of intraday prices can provide traders with great money-earning opportunities, but it also includes more risk. Student t -test, ANOVA, Kruskal-Wallis and Mann-Whitney tests were carried out for cryptocurrency data in order to compare time periods that may be characterised by anomalies with other time periods.