Novel Cryptocurrency Price Prediction Model Using GRU

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Novel Cryptocurrency Price Prediction Model Using GRU ( novel-cryptocurrency-price-prediction-model-using-gru )

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AI 2021, 2 478 in a variety of other fields, including the Internet of Things (IoT) ecosystem. It is mainly a digital ledger of transactions that is distributed across the entire network of computer systems on the blockchain [8,9]. The blockchain consists of two fundamental components; the first one is a transaction, and the second is a block. The transaction represents the action triggered by the participant, and the block is a data collection that records the transaction and additional details such as the correct sequence and creation timestamp. Blockchain have a signaling system (BloSS) of multi-domain, blockchain-based, cooperative DDoS defense system in which each autonomous system (AS) joins the defensive alliance [10]. Reference [11] reveals that the effects of networks on competition in the nascent cryp- tocurrency market over a period of time regarding exchange rates among cryptocurrencies depends on two aspects: (1) competition among different currencies and (2) competition among exchanges. There are hundreds of cryptocurrencies, but Bitcoin is the most popular one as it is a stubborn competitor and did not emerge out of the cryptocurrency competition track. As a result, it has become the dominant cryptocurrency. The authors of [12] describe the competition between cryptocurrency as “healthy competition” and suggests that new technology and security innovation. The authors of [13] reveal that Bitcoin and national currencies show volatility shock transmission, while economic policy uncertainty has little effect. The authors of [14] investigate the interaction between big data and cryptocurrency. One of the most appealing marketplaces for financial speculation is the cryptocurrency market, which means that deceptive activities have flourished via social media. Many people have reaped a lot of profits through speculation in the digital markets, but every investment process suffers from many hidden risks and some investors, particularly those with a high risk tolerance, are interested in investing in cryptocurrency. Therefore, market analysts and speculators rely on prediction [15,16]. With variations in predictive power per cryptocurrency, machine learning and artificial intelligence algorithms are moderately appealing [17]. Low-volatility cryptocurrencies are more predictable than high-volatility ones. There is evidence that the usefulness of different information sets varies between ma- chine learning algorithms, implying that prediction is likely to be much more complicated when a set of machine learning algorithms is used [18]. Despite the widespread use of cryptocurrencies for various types of purchases and transactions around the world, there is no consistent opinion on the definition of cryptocurrency or its legal status [19]. Further- more, the aforementioned situation exacerbates challenges in criminal investigations of cryptocurrency-based money laundering. As a result, law enforcement organizations are having difficulty pinpointing criminals’ identities and proving that they have committed a crime [20]. Focusing on Bitcoin pricing is similar to stock pricing: none of the risk variables that explain stock price movements apply to cryptocurrencies. Furthermore, traditional macroeconomic variables such as currency rates, commodity prices, and macroeconomic factors that affect other assets have little to no impact on most cryptocurrencies [21]. As a result of the cryptocurrency market’s surge in 2017 [22], various governments across the world have begun to move toward standardizing and overseeing digital money. Because of the security of blockchain technology and their economic environment, people have become more confident in using Bitcoin [22]. Although the blockchain provides a high security ecosystem, the research area surrounding the legality of cryptocurrency cannot be isolated from the people who utilize cryptocurrencies for illicit purposes. The legality of cryptocurrencies has been the subject of numerous debates. The authors of [23] dis- cuss the perspectives and the nature of cryptocurrencies in terms of monetary features, legal considerations, economic considerations, and Sharia considerations. Based on the perspective and characteristics of traditional currency, cryptocurrency does not satisfy the characteristics of a currency from an economic standpoint. There are hundreds of cryptocurrencies in digital markets, but Bitcoin is the most popular and is affected and interacted with by external influences such as the news, social media, and small cryptocurrencies that have a limited market share, which are often not taked into account from investors and traders. Due to the strong relationships between cryptocurrencies, the smaller ones have become a source of shocks that can positively

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