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Peer Co-Movement in Crypto Markets
Peer Co-Movement in Crypto Markets G. Schwenkler and H. Zheng∗ February 4, 2021y Abstract We show that peer linkages induce significant price co-movement in crypto markets in excess of common risk factors and correlated demand shocks. When large abnormal return shocks hit one crypto, its peers experience unusually large abnormal returns of the opposite sign. These effects are primarily concentrated among smaller peers and revert after several weeks, resulting in predictable returns. We develop trading strategies that exploit this rever- sal, and show that they are profitable even after accounting for trading fees and frictions. We establish our results by identifying crypto peers through co-mentions in online news using novel natural language processing technologies. Keywords: Cryptocurrencies, peers, co-movement, competition, natural language pro- cessing. JEL codes: G12, G14, C82. ∗Schwenkler is at the Department of Finance, Santa Clara University Leavey School of Business. Zheng is at the Department of Finance, Boston University Questrom School of Business. Schwenkler is corresponding author. Email: [email protected], web: http://www.gustavo-schwenkler.com. yThis is a revision of a previous paper by the two authors called \Competition or Contagion: Evidence from Cryptocurrency Markets." We are grateful to Jawad Addoum (discussant), Daniele Bianchi (discussant), Will Cong, Tony Cookson, Sanjiv Das, Seoyoung Kim, Andreas Neuhierl, Farzad Saidi, and Antoinette Schoar, seminar participants at Boston University and the Society for Financial Econometrics, and the participants at the 2020 Finance in the Cloud III Virtual Conference, the 2020 MFA Annual Meeting, the 3rd UWA Blockchain, Cryptocurrency and FinTech Conference, and the 2020 INFORMS Annual Meeting for useful comments and suggestions. -
Rev. Rul. 2019-24 ISSUES (1) Does a Taxpayer Have Gross Income Under
26 CFR 1.61-1: Gross income. (Also §§ 61, 451, 1011.) Rev. Rul. 2019-24 ISSUES (1) Does a taxpayer have gross income under § 61 of the Internal Revenue Code (Code) as a result of a hard fork of a cryptocurrency the taxpayer owns if the taxpayer does not receive units of a new cryptocurrency? (2) Does a taxpayer have gross income under § 61 as a result of an airdrop of a new cryptocurrency following a hard fork if the taxpayer receives units of new cryptocurrency? BACKGROUND Virtual currency is a digital representation of value that functions as a medium of exchange, a unit of account, and a store of value other than a representation of the United States dollar or a foreign currency. Foreign currency is the coin and paper money of a country other than the United States that is designated as legal tender, circulates, and is customarily used and accepted as a medium of exchange in the country of issuance. See 31 C.F.R. § 1010.100(m). - 2 - Cryptocurrency is a type of virtual currency that utilizes cryptography to secure transactions that are digitally recorded on a distributed ledger, such as a blockchain. Units of cryptocurrency are generally referred to as coins or tokens. Distributed ledger technology uses independent digital systems to record, share, and synchronize transactions, the details of which are recorded in multiple places at the same time with no central data store or administration functionality. A hard fork is unique to distributed ledger technology and occurs when a cryptocurrency on a distributed ledger undergoes a protocol change resulting in a permanent diversion from the legacy or existing distributed ledger. -
Blockchain & Distributed Ledger Technologies
Science, Technology Assessment, SEPTEMBER 2019 and Analytics WHY THIS MATTERS Distributed ledger technology (e.g. blockchain) allows users to carry out digital transactions without the need SCIENCE & TECH SPOTLIGHT: for a centralized authority. It could fundamentally change the way government and industry conduct BLOCKCHAIN & DISTRIBUTED business, but questions remain about how to mitigate fraud, money laundering, and excessive energy use. LEDGER TECHNOLOGIES /// THE TECHNOLOGY What is it? Distributed ledger technologies (DLT) like blockchain are a secure way of conducting and recording transfers of digital assets without the need for a central authority. DLT is “distributed” because multiple participants in a computer network (individuals, businesses, etc.), share and synchronize copies of the ledger. New transactions are added in a manner that is cryptographically secured, permanent, and visible to all participants in near real time. Figure 2. How blockchain, a form of distributed ledger technology, acts as a means of payment for cryptocurrencies. Cryptocurrencies like Bitcoin are a digital representation of value and represent the best-known use case for DLT. The regulatory and legal frameworks surrounding cryptocurrencies remain fragmented across Figure 1. Difference between centralized and distributed ledgers. countries, with some implicitly or explicitly banning them, and others allowing them. How does it work? Distributed ledgers do not need a central, trusted authority because as transactions are added, they are verified using what In addition to cryptocurrencies, there are a number of other efforts is known as a consensus protocol. Blockchain, for example, ensures the underway to make use of DLT. For example, Hyperledger Fabric is ledger is valid because each “block” of transactions is cryptographically a permissioned and private blockchain framework created by the linked to the previous block so that any change would alert all other Hyperledger consortium to help develop DLT for a variety of business users. -
Can Ethereum Classic Reach 1000 Dollars Update [06-07-2021] 42 Loss in the Last 24 Hours
1 Can Ethereum Classic Reach 1000 Dollars Update [06-07-2021] 42 loss in the last 24 hours. At that time Bitcoin reached its all-time high of 20,000 and so did Ethereum ETH which surpassed 1,000. 000 to reach 1; Tezos XTZ is priced at 2. In the unlikely event of a significant change for the worst, we expect the Bitcoin price to continue appreciating. ERC-721 started as a EIP draft written by dete and first came to life in the CryptoKitties project by Axiom Zen. ERC-721 A CLASS OF UNIQUE TOKENS. It does not mandate a standard for token metadata or restrict adding supplemental functions. Think of them like rare, one-of-a-kind collectables. The Standard. Institutions are mandating that they invest in clean green technologies and that s what ethereum is becoming, she said. Unlike bitcoin s so-called proof of work, which rewards miners who are competing against each other to use computers and energy to record and confirm transactions on its blockchain, ethereum plans to adopt the more efficient proof of stake model, which chooses a block validator at random based on how much ether it controls. Kaspar explained her thesis Friday on Yahoo Finance Live, citing new updates coming to the cryptocurrency s network later this year. 42 loss in the last 24 hours. At that time Bitcoin reached its all-time high of 20,000 and so did Ethereum ETH which surpassed 1,000. 000 to reach 1; Tezos XTZ is priced at 2. In the unlikely event of a significant change for the worst, we expect the Bitcoin price to continue appreciating. -
A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets
Journal of Risk and Financial Management Review A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets Nikolaos A. Kyriazis Department of Economics, University of Thessaly, 38333 Volos, Greece; [email protected] Abstract: This study is an integrated survey of GARCH methodologies applications on 67 empirical papers that focus on cryptocurrencies. More sophisticated GARCH models are found to better explain the fluctuations in the volatility of cryptocurrencies. The main characteristics and the optimal approaches for modeling returns and volatility of cryptocurrencies are under scrutiny. Moreover, emphasis is placed on interconnectedness and hedging and/or diversifying abilities, measurement of profit-making and risk, efficiency and herding behavior. This leads to fruitful results and sheds light on a broad spectrum of aspects. In-depth analysis is provided of the speculative character of digital currencies and the possibility of improvement of the risk–return trade-off in investors’ portfolios. Overall, it is found that the inclusion of Bitcoin in portfolios with conventional assets could significantly improve the risk–return trade-off of investors’ decisions. Results on whether Bitcoin resembles gold are split. The same is true about whether Bitcoins volatility presents larger reactions to positive or negative shocks. Cryptocurrency markets are found not to be efficient. This study provides a roadmap for researchers and investors as well as authorities. Keywords: decentralized cryptocurrency; Bitcoin; survey; volatility modelling Citation: Kyriazis, Nikolaos A. 2021. A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets. Journal of Risk and 1. Introduction Financial Management 14: 293. The continuing evolution of cryptocurrency markets and exchanges during the last few https://doi.org/10.3390/jrfm years has aroused sparkling interest amid academic researchers, monetary policymakers, 14070293 regulators, investors and the financial press. -
Performance-Based Analysis of Blockchain Scalability Metric
ISSN 1846-6168 (Print), ISSN 1848-5588 (Online) Subject review https://doi.org/10.31803/tg-20210205103310 Performance-Based Analysis of Blockchain Scalability Metric Jyoti Yadav*, Ranjana Shevkar Abstract: Cryptocurrencies like Bitcoin and Ethereum, are widely known applications of blockchain technology, have drawn much attention and are largely recognized in recent years. Initially Bitcoin and Ethereum processed 7 and 15 Transactions Per Second (TPS) respectively, whereas VISA and Paypal process 1700 and 193 TPS respectively. The biggest challenge to blockchain adoption is scalability, defined as the capacity to change the block size to handle the growing amount of load. This paper attempts to present the existing scalability solutions which are broadly classified into three layers: Layer 0 solutions focus on optimization of propagation protocol for transactions and blocks, Layer 1 solutions are based on the consensus algorithms and data structure, and Layer 2 solutions aims to decrease the load of the primary chain by implementing solutions outside the chain. We present a classification and comparison of existing blockchain scalability solutions based on performance along with their pros and cons. Keywords: consensus; decentralization; latency; scalability; security; throughput 1 INTRODUCTION sectors such as health care, media, logistics, supply chain management, power and utilities, Government, property, E- Blockchain is a decentralized, distributed, immutable voting etc. Apart from attractive features and interesting ledger with a sequence of blocks interlinked and secured applications, the most challenging task of blockchain is its using cryptography. Block is a basic unit of blockchain that scalability. bundles a set of transactions initiated by participating nodes This paper attempts to classify and compare existing in the blockchain network. -
Impossibility of Full Decentralization in Permissionless Blockchains
Impossibility of Full Decentralization in Permissionless Blockchains Yujin Kwon*, Jian Liuy, Minjeong Kim*, Dawn Songy, Yongdae Kim* *KAIST {dbwls8724,mjkim9394,yongdaek}@kaist.ac.kr yUC Berkeley [email protected],[email protected] ABSTRACT between achieving good decentralization in the consensus protocol Bitcoin uses the proof-of-work (PoW) mechanism where nodes earn and not relying on a TTP exists. rewards in return for the use of their computing resources. Although this incentive system has attracted many participants, power has, CCS CONCEPTS at the same time, been significantly biased towards a few nodes, • Security and privacy → Economics of security and privacy; called mining pools. In addition, poor decentralization appears not Distributed systems security; only in PoW-based coins but also in coins that adopt proof-of-stake (PoS) and delegated proof-of-stake (DPoS) mechanisms. KEYWORDS In this paper, we address the issue of centralization in the consen- Blockchain; Consensus Protocol; Decentralization sus protocol. To this end, we first define ¹m; ε; δº-decentralization as a state satisfying that 1) there are at least m participants running 1 INTRODUCTION a node, and 2) the ratio between the total resource power of nodes Traditional currencies have a centralized structure, and thus there run by the richest and the δ-th percentile participants is less than exist several problems such as a single point of failure and corrup- or equal to 1 + ε. Therefore, when m is sufficiently large, and ε and tion. For example, the global financial crisis in 2008 was aggravated δ are 0, ¹m; ε; δº-decentralization represents full decentralization, by the flawed policies of banks that eventually led to many bank which is an ideal state. -
Blockchain Security
CO 445H BLOCKCHAIN SECURITY Dr. Benjamin Livshits Apps Stealing Your Data 2 What are they doing with this data? We don’t know what is happening with this data once it is collected. It’s conceivable that this information could be analysed alongside other collections of data to provide insights into a person’s identity, online activity, or even political beliefs. Cambridge Analytica and other dodgy behavioural modification companies taught us this. The fact is we don’t know what is happening to the data that is being exfiltrated in this way. And in most cases we are not even aware this is taking place. The only reason we know about this collection of data-stealing apps is because security researcher, Patrick Wardle told us. Sudo Security Group’s GuardianApp claims another set of dodgy privacy eroding iOS apps, while Malwarebytes has yet another list of bad actors. http://www.applemust.com/how-to-stop-mac-and-ios-apps-stealing-your-data/ From Malwarebytes 3 https://objective-see.com/blog/blog_0x37.html Did You Just Steal My Browser History!? 4 Adware Doctor Stealing Browsing History 5 https://vimeo.com/288626963 Blockchain without the Hype 6 Distributed ledgers and blockchain specifically are about establishing distributed trust How can a community of individuals agree on the state of the world – or just the state of a database – without the risk of outside control or censorship Doing this with open-source code and cryptography turns out to be a difficult problem Distributed Trust 7 A blockchain is a decentralized, distributed and public -
Exploring the Interconnectedness of Cryptocurrencies Using Correlation Networks
Exploring the Interconnectedness of Cryptocurrencies using Correlation Networks Andrew Burnie UCL Computer Science Doctoral Student at The Alan Turing Institute [email protected] Conference Paper presented at The Cryptocurrency Research Conference 2018, 24 May 2018, Anglia Ruskin University Lord Ashcroft International Business School Centre for Financial Research, Cambridge, UK. Abstract Correlation networks were used to detect characteristics which, although fixed over time, have an important influence on the evolution of prices over time. Potentially important features were identified using the websites and whitepapers of cryptocurrencies with the largest userbases. These were assessed using two datasets to enhance robustness: one with fourteen cryptocurrencies beginning from 9 November 2017, and a subset with nine cryptocurrencies starting 9 September 2016, both ending 6 March 2018. Separately analysing the subset of cryptocurrencies raised the number of data points from 115 to 537, and improved robustness to changes in relationships over time. Excluding USD Tether, the results showed a positive association between different cryptocurrencies that was statistically significant. Robust, strong positive associations were observed for six cryptocurrencies where one was a fork of the other; Bitcoin / Bitcoin Cash was an exception. There was evidence for the existence of a group of cryptocurrencies particularly associated with Cardano, and a separate group correlated with Ethereum. The data was not consistent with a token’s functionality or creation mechanism being the dominant determinants of the evolution of prices over time but did suggest that factors other than speculation contributed to the price. Keywords: Correlation Networks; Interconnectedness; Contagion; Speculation 1 1. Introduction The year 2017 saw the start of a rapid diversification in cryptocurrencies. -
How to Sell Ethereum Classic on Robinhood
1 How to Sell Ethereum Classic on Robinhood Update [06-07-2021] This widget shows the number of times this symbol reached a new low price for specific periods, from the past 5-Days to the past 20-Years. Included are the Open, High, Low, Last,Change, Change and Volume figures. When looking at the Periods in the Price Performance table, the 5-Day through 2-Year periods are based on daily data, the 3-Year and 5-Year periods are based on weekly data, and the 10-Year and 20-Year periods are based on monthly data. I need to give payment ETH address to my customers for deposit ETH their accounts. You can t export the xpub directly from a ledger nano s with the default bitcoin or ethereum apps. I want to use a HD ETH wallet for this and I am using Ledger Nano S now. If Ledger support HD, How can I export XPub. But you can construct an xpub using the data you can extract from the ledger. Positively Correlated Currencies. 50-day, 100-day and 200-day moving averages are among the most commonly used indicators to identify important resistance and support levels. Some charts will use hollow and filled candlestick bodies instead of colors to represent the same thing. The Maker Protocol MakerDAO s Multi-Collateral Dai MCD System. At a technical level, smart contracts manage each type of vote. Additionally, because exchanges and blockchain projects can integrate the DSR into their own platforms, it presents new opportunities for cryptocurrency traders, entrepreneurs, and established businesses to increase their Dai savings and Dai operating capital. -
Ethereum Vs Ethereum Classic Which to Buy Update [06-07-2021] It Has Fully Compatibility with Solidity and Thus Ethereum Eco-System
1 Ethereum vs Ethereum Classic Which to Buy Update [06-07-2021] It has fully compatibility with Solidity and thus Ethereum eco-system. It offers scalable and instantaneous transactions. It means that L2 projects are going to have a field day ahead with the increasing integrations and maturity of infrastructure around them. Therefore, it s the first entry in our top 5 Ethereum layer 2 projects list. Essentially it s a mixed PoW, PoS algorithm which it s purpose is to arrive one day to a PoS full implementation. Or will a completely new evolution of Ethereum be necessary to reach that level of transaction capacity. 380 transactions per block. Another important improvement is the next. More miners. Last week, the Ontario Securities Commission approved the launch of three ETFs that would offer investors direct exposure to Ether, the second-largest cryptocurrency by market capitalization after Bitcoin. 75 after May 31, the company said, plus applicable sales taxes. Management fees are not the only thing investors will need to pay. What to Know. Still, hopes of a technical adjustment called EIP ethereum improvement proposal 1559, which is expected to go live in July and is seen reducing the supply of ethereum, has provided a lift for the digital currency. Technically, ethereum is the blockchain network in which decentralized applications are embedded, while ether is the token or currency that enables or drives the use of these applications. It hit a record high of 3,610. Ethereum is well off its highs, though, so let s see if now is the time to make an investment. -
Uncontrolled Randomness in Blockchains: Covert Bulletin Board for Illicit Activity
Uncontrolled Randomness in Blockchains: Covert Bulletin Board for Illicit Activity Nasser Alsalami Bingsheng Zhang* Lancaster University, UK Zhejiang University, China [email protected] [email protected] Abstract—Public blockchains can be abused to covertly store platforms that use randomized cryptographic primitives, such and disseminate potentially harmful digital content which poses as digital signatures and non-interactive zero-knowledge a serious regulatory issue. In this work, we show the severity of proofs. The main observation is that all randomized algo- the problem by demonstrating that blockchains can be exploited to surreptitiously distribute arbitrary content. More specifically, rithms need to consume random coins somewhere along all major blockchain systems use randomized cryptographic the execution, and these random coins are not audited or primitives, such as digital signatures and non-interactive zero- certified publicly. By intentionally manipulating the random knowledge proofs; we illustrate how the uncontrolled random- coin supplied to a randomized algorithm, an attacker is ness in such primitives can be maliciously manipulated to enable able to embed arbitrary information into the output of the covert communication and hidden persistent storage. To clarify the potential risk, we design, implement and evaluate our algorithm, where the output that contains steganographic data technique against the widely-used ECDSA signature scheme, is computationally indistinguishable from normal output. the CryptoNote’s ring signature scheme, and Monero’s ring Our attack can be used for covert channels, persistent stor- confidential transactions. Importantly, the significance of the demonstrated attacks stems from their undetectability, their age, and many other scenarios. For instance, the attacker(s) adverse effect on the future of decentralized blockchains, may try to subvert, or mis-implement cryptocurrency wallets and their serious repercussions on users’ privacy and crypto and re-distribute them to unsuspecting users.