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Aug 20, 2019 · The Crypto Encyclopedia: Coins, Tokens and Digital Assets from A to Z. August 2019. Publisher: Growth Publisher, Bern. ISBN: 978-2-940384-47-1. Authors: Patrick Schueffel. School of Management ...
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ERC-721. ERC-1400 is a suggested standard for. security tokens so that issuers, investors, KYC providers, > digital wallets, cryptocurrency exchanges, regulators and developers can work together using the identical framework. ERC-20 is a quasi standard comprising a list of rules set forth for all > Ethereum.
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manual represents only the first steps of getting started working with cryptocurrency.The processes, considerations and resources imparted in this guid. only skim the surface of the opportunities that exist in working with cryptocurrency. Indeed, one of the key challenges of pu.
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- Abstract
- From Blockchain to cryptocurrencies
- Tools for building automated trading systems
- Machine learning technology
- Paper collection and review schema
- Survey scope
- Survey organisation
- We build upon this review to conclude in "Opportunities in cryptocurrency trading"
- Characteristics of three cryptocurrency trading systems
- Summary Analysis of Literature Review
- Research Distribution among Statistical methods
- Opportunities in cryptocurrency trading
- Conclusions
- Publisher’s Note
In recent years, the tendency of the number of financial institutions to include crypto‐ currencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital assets to be included by asset managers. Although they have some commonalities with more traditional assets, they have their own separate nature and their behav‐ iour as...
Confirmation is a critical concept in cryptocurrencies; only miners can confirm trans-actions. Miners add blocks to the Blockchain; they retrieve transactions in the previ-ous block and combine it with the hash of the preceding block to obtain its hash, and then store the derived hash into the current block. Miners in Blockchain accept transac-tion...
Tools for building automated trading systems in cryptocurrency market are those emer-gent trading strategies for cryptocurrency. These include strategies that are based on econometrics and machine learning technologies.
Machine learning is an eficient tool for developing Bitcoin and other cryptocurrency trading strategies (McNally et al. 2018) because it can infer data relationships that are often not directly observable by humans. From the most basic perspective, Machine Learning relies on the definition of two main components: input features and objective fun...
The section introduces the scope and approach of our paper collection, a basic analy-sis, and the structure of our survey.
We adopt a bottom-up approach to the research in cryptocurrency trading, start-ing from the systems up to risk management techniques. For the underlying trading system, the focus is on the optimisation of trading platforms structure and improve-ments of computer science technologies. At a higher level, researchers focus on the design of models to p...
We discuss the contributions of the collected papers and a statistical analysis of these papers in the remainder of the paper, according to Table 5. The papers in our collection are organised and presented from six angles. We intro-duce the work about several diferent cryptocurrency trading software systems in "Cryp-tocurrency trading software sys...
section with some opportunities for future research.
Real-time trading systems use real-time functions to collect data and generate trading algorithms. Turtle trading system and arbitrage trading system have shown a sharp con-trast in their profit and risk behaviour. Using Turtle trading system in cryptocurrency markets got high returns with high risk. Arbitrage trading system is inferior in terms of...
This section analyses the timeline, the research distribution among technology and methods, the research distribution among properties. It also summarises the datasets that have been used in cryptocurrency trading research.
As from Fig. 10, we further classified the papers using statistical methods into 6 cat-egories: (i) basic regression methods; (ii) linear classifiers and clustering; (iii) time-series analysis; (iv) decision trees and probabilistic classifiers; (v) modern portfolios theory; and, (vi) Others. Basic regression methods include regression methods (Lin...
This section discusses potential opportunities for future research in cryptocurrency trading. Sentiment-based research As discussed above, there is a substantial body of work, which uses natural language processing technology, for sentiment analysis with the ulti-mate goal of using news and media contents to improve the performance of cryptocur-ren...
We provided a comprehensive overview and analysis of the research work on cryptocur-rency trading. This survey presented a nomenclature of the definitions and current state of the art. The paper provides a comprehensive survey of 146 cryptocurrency trading papers and analyses the research distribution that characterise the cryptocurrency trading li...
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Feb 7, 2022 · This paper provides a comprehensive survey of cryptocurrency trading research, by covering 146 research papers on various aspects of cryptocurrency trading (e.g., cryptocurrency trading systems, bubble and extreme condition, prediction of volatility and return, crypto-assets portfolio construction and crypto-assets, technical trading and others). This paper also analyses datasets, research ...
implementation of a digital currency called bitcoin that used blockchain technology. More than ten years later, hundreds of cryptocurrencies and innumerable other applications of blockchain technology are readily available. The rise of cryptocurrencies poses an existential threat to many traditional functions in nance.
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Feb 22, 2021 · The focus on cryptocurrencies in the finance and banking sectors is gaining momentum. In this paper, we investigate the role of cryptocurrencies in modern finance. We apply a narrative literature ...
