Explore the vast range of titles available.

Questo manuale ti aiuterà ad iniziare i tuoi investimenti sulle valute digitali, sul forex, sulle opzioni e sul trading.Se stai cercando di uscire dalla vita frenetica ti serviranno soldi per supportarti e costruire abbastanza entrate passive per vivere i tuoi sogni.

Para aquellos que se comprometen al aprendizaje del arte del trading de criptomonedas, nunca volverá a mirar ni a disfrutar la vida de la misma manera otra vez.El propósito de este libro es proporcionar una perspectiva completa del trading de criptomonedas, incluyendo como hacer dinero invirtiendo en criptomonedas y cómo conocer más sobre el.

Litecoin foi criado como uma alternativa ao Bitcoin para compensar as suas falhas notaveis, e foi desenvolvido para ser leve e mais abundante que o Bitcoin. Litecoin tambem possui quase zero custo de pagamento e facilita as transacoes, realizadas aproximadamente quatro vezes mais rapido que o Bitcoin.SumrioIntroduo ao Litecoin1. Carteiras de criptomoedas2. Como comprar Litecoin3. Minerando Litecoin e outras altcoins4. O melhor investimento: Bitcoin ou Litecoin5. Carteiras Litecoin6. Bitcoin x Litecoin7. Invista em Litecoin8. A influncia do SegWit9. Usurios da Coinbase10. A segunda maior moeda11. Trabalhando com bitcoins12. O objetivo da blockchain13.Feathercoin14. ICO15. Entendendo a criptoeconomia16. Criptomoeda: O guia definitivoReferncias

Cryptocurrencies are becoming increasingly prominent in financial investments, with more investors diversifying their portfolios and individuals drawn to their ease of use and decentralized financial opportunities. However, this accessibility also brings significant risks and rewards, often influenced by news and the sentiments of crypto investors, known as crypto signals. This paper explores the capabilities of large language models (LLMs) and natural language processing (NLP) models in analyzing sentiment from cryptocurrency-related news articles. We fine-tune state-of-the-art models such as GPT-4, BERT, and FinBERT for this specific task, evaluating their performance and comparing their effectiveness in sentiment classification. By leveraging these advanced techniques, we aim to enhance the understanding of sentiment dynamics in the cryptocurrency market, providing insights that can inform investment decisions and risk management strategies. The outcomes of this comparative study contribute to the broader discourse on applying advanced NLP models to cryptocurrency sentiment analysis, with implications for both academic research and practical applications in financial markets.

There are different studies that point out that the price of electricity is a fundamental factor that will influence the mining decision, due to the cost it represents. There is also an ongoing debate about the pollution generated by cryptocurrency mining, and whether or not the use of renewable energies will solve the problem of its sustainability. In our study, starting from the Environmental Performance Index (EPI), we have considered several determinants of cryptocurrency mining: energy price, how that energy is generated, temperature, legal constraints, human capital, and R&D&I. From this, via linear regression, we recalculated this EPI by including the above factors that affect cryptocurrency mining in a sustainable way. The study determines, once the EPI has been readjusted, that the most sustainable countries to perform cryptocurrency mining are Denmark and Germany. In fact, of the top ten countries eight of them are European (Denmark, Germany, Sweden, Switzerland, Finland, Austria, and the United Kingdom); and the remaining two are Asian (South Korea and Japan).

Crypto assets have become increasingly popular in recent years due to their many advantages, such as low transaction costs and investment opportunities. The performance of crypto exchanges is an essential factor in developing crypto assets. Therefore, it is necessary to take adequate measures regarding the reliability, speed, user-friendliness, regulation, and supervision of crypto exchanges. However, each measure to be taken creates extra costs for businesses. Studies are needed to determine the factors that most affect the performance of crypto exchanges. This study develops an integrated framework, i.e., fuzzy best–worst method with the Heronian function—the fuzzy measurement of alternatives and ranking according to compromise solution with the Heronian function (FBWM’H–FMARCOS’H), to evaluate cryptocurrency exchanges. In this framework, the fuzzy best–worst method (FBWM) is used to decide the criteria’s importance, fuzzy measurement of alternatives and ranking according to compromise solution (FMARCOS) is used to prioritize the alternatives, and the Heronian function is used to aggregate the results. Integrating a modified FBWM and FMARCOS with Heronian functions is particularly appealing for group decision-making under vagueness. Through case studies, some well-known cryptocurrency exchanges operating in Türkiye are assessed based on seven critical factors in the cryptocurrency exchange evaluation process. The main contribution of this study is generating new priority strategies to increase the performance of crypto exchanges with a novel decision-making methodology. “Perception of security,” “reputation,” and “commission rate” are found as the foremost factors in choosing an appropriate cryptocurrency exchange for investment. Further, the best score is achieved by Coinbase, followed by Binance. The solidity and flexibility of the methodology are also supported by sensitivity and comparative analyses. The findings may pave the way for investors to take appropriate actions without incurring high costs.

Since the year of 2022 was marked by many significant and rapid changes on the cryptocurrencies market, this comparative study explores perceptions of Romanian students about cryptocurrencies before and after the market collapse. A qualitative approach has been used to understand attitudes towards cryptocurrencies in March 2022 (when prices of most cryptocurrencies were higher) and then the same study was conducted during August-November 2022 (when the prices of most cryptocurrencies were lower after a dropout in prices that lasted all throughout the summer). Descriptive and inferential statistics were used to compare the results. Our findings show that cryptocurrencies were associated with more negative words in the second wave of the study, but surprisingly, the willingness to invest in such assets did not change that much. However, the willingness to invest seemed to be influenced by how secure/trustworthy respondents perceived cryptocurrencies. Implications and future research suggestions are finally discussed.

Despite the fact that cryptocurrency trading has been taking place in Poland for a dozen or so years, the issue of the existence and nature of the right to cryptocurrency units has not been resolved in civil law doctrine and case law. The legislature has also not taken any action in this regard, including in the draft act on the cryptoasset market currently in process. Meanwhile, this issue is of significant theoretical and practical importance. This article therefore examines the currently presented views together with their indicated consequences, and then supplements the ongoing discussion with comparative legal remarks usually omitted in Polish literature. In this respect, solutions proposed or in force in European Union, German, British and Chinese law are taken into account. This provides an opportunity to comment on existing concepts, in particular the rejection of the proposal to adopt in Polish law the right to a unit of cryptocurrency, effective (although with the submission of a application), and the view that there is no substantive right in this respect. In conclusion, it is considered that currently in Poland, the right to a unit of cryptocurrency is of a relative nature.

Since the year of 2022 was marked by many significant and rapid changes on the cryptocurrencies market, this comparative study explores perceptions of Romanian students about cryptocurrencies before and after the market collapse. A qualitative approach has been used to understand attitudes towards cryptocurrencies in March 2022 (when prices of most cryptocurrencies were higher) and then the same study was conducted during August-November 2022 (when the prices of most cryptocurrencies were lower after a dropout in prices that lasted all throughout the summer). Descriptive and inferential statistics were used to compare the results. Our findings show that cryptocurrencies were associated with more negative words in the second wave of the study, but surprisingly, the willingness to invest in such assets did not change that much. However, the willingness to invest seemed to be influenced by how secure/trustworthy respondents perceived cryptocurrencies. Implications and future research suggestions are finally discussed.

Abstract Cryptomarkets, anonymous online markets where illicit drugs are exchanged, have operated since 2011, yet there is a dearth of knowledge on why people use these platforms to sell drugs, with only one previous study involving interviews with this novel group. Based on 13 interviews with this hard to reach population, and data analysis critically framed from perspectives of economic calculation, the seductions of crime, and drift and techniques of neutralization, we examine the differentiated motivations for cryptomarket selling. Throughout the interviews, we observe an appreciation for the gentrified norms of cryptomarkets and conclude that cryptomarket sellers are motivated by concerns of risks and material rewards, as well as non-material attractions in a variety of ways that both correspond with, and differ from, existing theories of drug selling.