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Cryptocurrency trading: a comprehensive survey
In recent years, the tendency of the number of financial institutions to include
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …
cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital …
Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey
Cryptocurrencies are decentralized electronic counterparts of government‐issued money.
The first and best‐known cryptocurrency example is bitcoin. Cryptocurrencies are used to …
The first and best‐known cryptocurrency example is bitcoin. Cryptocurrencies are used to …
Global cryptocurrency trend prediction using social media
This paper aims to investigate the global crypto-currency price movement trends with
respect to the social media communication data. The idea is to analyze the topical trends in …
respect to the social media communication data. The idea is to analyze the topical trends in …
On interpretability of artificial neural networks: A survey
Deep learning as performed by artificial deep neural networks (DNNs) has achieved great
successes recently in many important areas that deal with text, images, videos, graphs, and …
successes recently in many important areas that deal with text, images, videos, graphs, and …
[PDF][PDF] rtweet: Collecting and analyzing Twitter data
MW Kearney - Journal of open source software, 2019 - joss.theoj.org
Interest in Twitter data continues to grow, but for many the task of actually collecting and
analyzing data via Twitter APIs remains daunting. For example, in order to interact with …
analyzing data via Twitter APIs remains daunting. For example, in order to interact with …
[HTML][HTML] A complete VADER-based sentiment analysis of bitcoin (BTC) tweets during the era of COVID-19
T Pano, R Kashef - Big Data and Cognitive Computing, 2020 - mdpi.com
During the COVID-19 pandemic, many research studies have been conducted to examine
the impact of the outbreak on the financial sector, especially on cryptocurrencies. Social …
the impact of the outbreak on the financial sector, especially on cryptocurrencies. Social …
Herding and anchoring in cryptocurrency markets: Investor reaction to fear and uncertainty
C Gurdgiev, D O'Loughlin - Journal of Behavioral and Experimental …, 2020 - Elsevier
Cryptocurrencies have emerged as an innovative alternative investment asset class, traded
in data-rich markets by globally distributed investors. Although significant attention has been …
in data-rich markets by globally distributed investors. Although significant attention has been …
Anticipating cryptocurrency prices using machine learning
Machine learning and AI‐assisted trading have attracted growing interest for the past few
years. Here, we use this approach to test the hypothesis that the inefficiency of the …
years. Here, we use this approach to test the hypothesis that the inefficiency of the …
[HTML][HTML] A comparative study of bitcoin price prediction using deep learning
S Ji, J Kim, H Im - Mathematics, 2019 - mdpi.com
Bitcoin has recently received a lot of attention from the media and the public due to its recent
price surge and crash. Correspondingly, many researchers have investigated various factors …
price surge and crash. Correspondingly, many researchers have investigated various factors …
Forecasting cryptocurrency price using convolutional neural networks with weighted and attentive memory channels
After the invention of Bitcoin as well as other blockchain-based peer-to-peer payment
systems, the cryptocurrency market has rapidly gained popularity. Consequently, the …
systems, the cryptocurrency market has rapidly gained popularity. Consequently, the …