Essays about: "Crypto Trading"
Showing result 1 - 5 of 9 essays containing the words Crypto Trading.
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1. The effect of covid-19 announcement on sustainable investment portfolios : Observation of the flight-to-quality phenomenon
University essay from Jönköping University/Internationella HandelshögskolanAbstract : The economic impact of the COVID-19 pandemic is still an ongoing topic, broadly analysed and discussed in many studies. Recent articles state that sustainable assets can offer return volatility resilience during demand shock events and, in some cases, provide higher returns than their unsustainable counterparts. READ MORE
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2. Locating the Unlocated : An Examination of Choice of Law and Consumer Protection in Cryptocurrency Trading
University essay from Uppsala universitet/Juridiska institutionenAbstract : Disputes involving emerging technology, often leave a grey area on applicable law, as it is unlocated in the physical world. The problem with crypto-assets is partly driven by their underlying technology, allowing for the assets to be distributed in an international, digital sphere, and making it hard to pinpoint their territorial location and solve legal issues. READ MORE
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3. Unveiling the EU VAT Treatment of Non-Fungible Tokens (NFTs): An Extensive Analysis of the VAT Consequences for NFT Trading
University essay from Lunds universitet/Institutionen för handelsrättAbstract : Non-fungible tokens (NFTs) have gained significant attention in recent years as a rapidly growing form of crypto assets with unique characteristics. However, existing tax regulations have struggled to keep up with these developments. READ MORE
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4. Web3 Usage and its Value for Crypto
University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomiAbstract : Cryptocurrencies have grown significantly in recent years, and their role in society remains a highly debated subject. In "Common Risk Factors in Cryptocurrency," Liu, Tsyvinski, and Wu explore whether models from traditional finance can be applied to the cryptocurrency market to create successful trading strategies. READ MORE
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5. A machine learning approach leveraging technical- and sentiment analysis to forecast price movements in major crypto currencies
University essay from KTH/Matematik (Avd.)Abstract : This paper uses a back-propagating neural network (BPN) to predict the price movements of major crypto currencies, leveraging technical factors as well as measurements of collective sentiment derived from the micro-blogging network Twitter. Our dataset consists of daily, hourly and minutely price levels for Bitcoin, Ether and Litecoin along with 8 popular technical indicators, as well as all tweets with the currencies' cash tags during respective time periods. READ MORE