Using Big Data Analytics and Heatmap Matrix Visualization to Enhance Cryptocurrency Trading Decisions by Yensen Ni, Pinhui Chiang, Min-Yuh Day, Yuhsin Chen

“…Using the Bollinger Bands trading strategy (BBTS), investors are advised to buy (and then sell) Bitcoin and Ethereum spot prices in response to BBTS’s oversold (overbought) signals. …”
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The Predictive Power of a Twitter User’s Profile on Cryptocurrency Popularity by Maria Trigka, Andreas Kanavos, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas

“…Millions of users daily share a huge amount of information related to various aspects of their lives, which makes the respective sites a very important source of data for analysis. Bitcoin (BTC) is a decentralized cryptographic currency and is equivalent to most recurrently known currencies in the way that it is influenced by socially developed conclusions, regardless of whether those conclusions are considered valid. …”
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Determining the Fair Value of Digital Assets for Accounting Purposes by Andrii Makurin, Tetiana Tarasova

“…A real example of calculating and applying the attribute value of a Bitcoin Cash coin for reporting when revaluing an asset is given…”
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Hierarchical Multi-Blockchain System for Parallel Computation in Cryptocurrency Transfers and Smart Contracts by Nam-Yong Lee

“…However, unspent transaction output (UTXO)-based cryptocurrencies such as Bitcoin are advantageous for parallel cryptocurrency transfers but not well-suited to smart contracts. …”
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A novel approach based on similarity measure for the multiple attribute group decision-making problem in selecting a sustainable cryptocurrency by Wei Yin, Mengyuan Zhang, Zheyi Zhu, Erhao Zhang

“…The results suggest that Stellar is the most sustainable cryptocurrency, while Bitcoin with its intensive energy consumption, high mining cost and high computing power provides the least effective support for its sustainable development. …”
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Stablecoins as an implementation of Hayek’s private money theory by V. A. Syropyatov

“…North, evolutionary economics and the Austrian school of economics, as well as the new institutional economics.Results: the initial tasks of creating a bitcoin have led, as a result of the hype around its value, to a distortion of the original concept of forming “private money” and to the use of cryptocurrency in illegal operations. …”
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Honeypot Method to Lure Attackers Without Holding Crypto-Assets by Hironori Uchibori, Katsunari Yoshioka, Kazumasa Omote

“…In recent years, the convenience and potential use of crypto-assets such as Bitcoin and Ethereum have attracted increasing attention. …”
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Horizon of cryptocurrency before vs during COVID-19 by Ikaputera Waspada, Dwi Fitrizal Salim, Astrie Krisnawati

“…Today, investment instruments are not only stocks, currencies, bonds, deposits, savings and others. The beginning of Bitcoin’s emergence as a pioneer of Cryptocurrency was in 2009. …”
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Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach by Phumudzo Lloyd Seabe, Claude Rodrigue Bambe Moutsinga, Edson Pindza

“…This study proposes three types of Recurrent Neural Networks (RNNs): namely, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Bi-Directional LSTM (Bi-LSTM) for exchange rate predictions of three major cryptocurrencies in the world, as measured by their market capitalization—Bitcoin (BTC), Ethereum (ETH), and Litecoin (LTC). …”
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Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data by Ramzi A. Haraty, Salma Sobeh

“…This survey examines seven widely recognized clustering techniques, namely<em> k</em>-means, <em>G</em>-means, DBSCAN, Agglomerative hierarchical clustering, Two-stage density (DBSCAN and <em>k</em>-means) algorithm, Two-levels (DBSCAN and hierarchical) clustering algorithm, and Two-stage MeanShift and <em>k</em>-means clustering algorithm and compares them with a real dataset - The Blockchain dataset, including prominent cryptocurrencies like Binance, Bitcoin, Doge, and Ethereum, under several metrics such as silhouette coefficient, Calinski-Harabasz, Davies-Bouldin Index, time complexity, and entropy.…”
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Inferring interactions in multispecies communities: The cryptocurrency market case. by E Brigatti, V Rocha Grecco, A R Hernández, M A Bertella

“…This network displays the important centrality of Bitcoin, discloses a core cluster containing a branch with the most capitalized first-generation cryptocurrencies, and emphasizes interesting correspondences between the detected direct pair interactions and specific features of the related currencies. …”
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An overview of investor sentiment: Identifying themes, trends, and future direction through bibliometric analysis by Aditi N Kamath, Sandeep S. Shenoy, Subrahmanya Kumar N.

“…The review also reveals that existing research in the field has mainly focused on themes such as market efficiency, asset pricing, stock returns, sentiment analysis, IPO underpricing, overreaction, and volatility, whereas Covid-19 and Bitcoin depicted as emerging themes from recent scholarly works.…”
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Survey on Blockchain Consensus Algorithms and Application by WANG Qun, LI Fujuan, NI Xueli, XIA Lingling, WANG Zhenli, LIANG Guangjun

“…The consensus algorithms are divided into the previous classical distributed consensus algorithms and the subsequent blockchain consensus algorithms by taking the emergence of bitcoin as the time node. On this basis, the consensus algorithms are further classified according to the implementation principle, the typical algorithms are selected, and then the discussion is focused on decentralization, scalability, security, consistency and so on. …”
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Blockchain–Cloud Integration: A Survey by Abhirup Khanna, Anushree Sah, Vadim Bolshev, Alessandro Burgio, Vladimir Panchenko, Marek Jasiński

“…Blockchain technology gained its popularity after the massive success of Bitcoin, of which it constitutes the backbone technology. …”
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Characteristics of Blockchain and Its Relationship With Trust by Vizaad Ali, Azah Anir Norman, Saaidal Razalli Bin Azzuhri

“…Trust is a concept that lies amidst the rhetoric of empowering users by using blockchain. Bitcoin&#x2019;s eminence hyped as &#x201C;trust-free,&#x201D; poignantly made trust an indispensable central element associated with the complexities and uncertainties of online transactions abound in the use and development of blockchain&#x2013; leaving many users unacquainted with its use. …”
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Adoption of Blockchain Technology in Healthcare: Challenges, Solutions, and Comparisons by Dilbag Singh, Suhasini Monga, Sudeep Tanwar, Wei-Chiang Hong, Ravi Sharma, Yi-Lin He

“…Blockchain technology was bestowed through bitcoin; research has continuously stretched out its applications in different sectors, proving blockchain as a versatile technology expanded in non-financial use cases. …”
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The impact of network delay on Nakamoto consensus mechanism by Shaochen Lin, Xuyang Liu, Xiujuan Ma, Hongliang Mao, Zijian Zhang, Salabat Khan, Liehuang Zhu

“…Nakamoto consensus is prevailing in the world largest blockchain-based cryptocurrency systems, such as Bitcoin and Ethereum. Since then, various attempts have been studied to attack Nakamoto consensus worldwide. …”
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Exploring the Driving Forces of Stock-Cryptocurrency Comovements during COVID-19 Pandemic: An Analysis Using Wavelet Coherence and Seemingly Unrelated Regression by Ruzita Abdul-Rahim, Airil Khalid, Zulkefly Abdul Karim, Mamunur Rashid

“…Over the longer investment horizons, Bitcoin reemerges as a safe haven or strong hedger while Ethereum’s properties weaken. …”
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Kripto Paralarla Borsalar Arasındaki Volatilite Yayılımı by Oğuz Çakan, Tuba Gülcemal, Zekai Şenol

“…Çalışmada kripto paraları temsilen bitcoin, etherium, litecoin ve ripple kullanılırken borsaları temsilen S&amp;P500 (ABD), DAX (Almanya), Shanghai (Çin) ve BİST100 (Türkiye) endeksleri kullanılmıştır. …”
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A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data by Esam Mahdi, Víctor Leiva, Saed Mara’Beh, Carlos Martin-Barreiro

“…These currencies are Binance Coin, Bitcoin, Cardano, Dogecoin, Ethereum, and Ripple. …”
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