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    Peer Co-Movement in Crypto Markets

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  • PWC and Elwood

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  • Blockchain & Cryptocurrency Regulation

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  • NEO Market Report Summary

    NEO Market Report Summary

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  • An Analysis of Retail User Protection in Bitcoin Remittance Markets

    An Analysis of Retail User Protection in Bitcoin Remittance Markets

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  • Impossibility of Full Decentralization in Permissionless Blockchains

    Impossibility of Full Decentralization in Permissionless Blockchains

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  • Exploring the Interconnectedness of Cryptocurrencies Using Correlation Networks

    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.
  • Distributed Ledger Technologies and Financial Inclusion

    Distributed Ledger Technologies and Financial Inclusion

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  • Digital Currency Group

    Digital Currency Group

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  • P2P Electricity Transaction Between Ders by Blockchain Technology

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    DEGREE PROJECT IN COMPUTER SCIENCE AND ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2018 P2P Electricity transaction between DERs by Blockchain Technology RUOGU LI KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE KTH Royal Institute of Technology School of Electrical Engineering and Computer Science Master’s Thesis in Computer Science and Computer Engineering P2P Electricity transaction between DERs by Blockchain Technology Author: Ruogu Liu Supervisors: Anne Håkansson Xue Wang Examiner: Prof.Mihhail Matskin, KTH, Sweden ii Abstract The popularity of blockchain technologies increases with a significant rise in the price of cryptocurrency in 2017, which drew much attention in the academia and industry to research and implement new application or new blockchain technology. Many new blockchains have emerged over the last year in a broad spectrum of sectors and use cases including IOT, Energy, Finance, Real estate, Entertainment, etc. Despite many exciting research and applications have been done, there are still many areas worth investigating, and implementation of the blockchain based distributed application are still facing much uncertainty and challenging since blockchain is still an emerging technology. Meanwhile, the energy sector is under a transition to be digitalized and more distributed. A global technology revolution has disrupted the conventional centralized power system with distributed resources and technologies, like photovoltaic units (PV), batteries, electric mobilities, etc. The citizens then have control of their generation and consumption profiles. The purpose of this master thesis is to explore existing blockchain technology, and smart contracts such as IOTA, NEO, Ethereum Tobalaba, which can be adapted in the energy sector. Within this thesis, blockchain and the smart contract is proposed as a way of building distributed applications for a p2p transaction use case in the energy asset management platform.
  • 2018中国区块链投资机构20强 2018年6⽉12⽇

    2018中国区块链投资机构20强 2018年6⽉12⽇

    2018中国区块链投资机构20强 2018年6⽉12⽇ 链塔智库出品 www.blockdata.club 前⾔ 近年来，中国区块链⾏业的快速发展逐渐获得投资机构关注，中国区块链⾏业投资年增速已连续多年超 过100%。专注于区块链⾏业的投资机构正在⻜速成⻓，在区块链产业积极布局，构建⾃⼰的版图，⽽ 持开放态度的传统投资机构也在跑步⼊局。 链塔智库对活跃于区块链领域的120家投资机构及其所投项⽬进⾏分析，从区块链⾏业投资影响⼒、投 资标的数量、投资⾦额总量等⽅⾯选取了⼆⼗家表现最好的投资机构重点研究，形成结论如下： 从投资项⽬分类来看，这些投资机构普遍看好区块链平台类的公司。 从投资标的地域来看，这些投资机构更多的投资于海外项⽬。 从国内项⽬⻆度来看，北京地区项⽬占⽐最⾼。 从投资轮次来看，⼤部分投资发⽣在天使轮及A轮，反映⾏业仍处于早期阶段。 www.blockdata.club ⽬录 PART.1 2018中国区块链投资机构20强 榜单 PART.2 2018中国区块链投资机构20强 榜单分析 PART.3 影响⼒、投资数⽬、投资⾦额 细分榜单 PART.4 2018中国区块链投资机构版图 www.blockdata.club PART.1 2018中国区块链投资机构20强榜单 链塔智库基于链塔数据库数据，辅以整理超过120余家活跃于区块链领域的投资机构及所投项⽬，从 各家机构在投资影响⼒、投资项⽬数量、投资总额、回报情况、退出情况等维度进⾏评分（单项评价 最⾼10分），评选出2018中国区块链投资机构20强。 区块链投资机构评分维度模型 投资⾦额 重点项⽬影响⼒ 投资影响⼒ 背书能⼒ 媒体影响⼒ 退出情况 总投资数⽬ 投资数⽬ 所投项⽬已发Token数 回报情况 链塔智库研究绘制 www.blockdata.club www.blockdata.club 1 38.1% 21.1%95% 2018中国区块链 79.5% 投资机构 TOP 20 70.2% 名次 47.5% 机构名称 创始⼈ 总评价 影响⼒评分 数量评分 ⾦额评分 1 分布式资本 沈波 9.1 9 10 9 2 硬币资本 李笑来 9.0 10 9 8 3 连接资本 林嘉鹏 8.7 7 10 7 4 15.8% Dfund 赵东 8.1 7 6 9 5 54.1% IDG资本 熊晓鸽 7.7 9 4 9 6 泛城资本 陈伟星 7.5 9 5 6 7 真格基⾦ 徐⼩平 7.4 7 5 7 8 节点资本 杜均 7.1 6 10 7 9 丹华资本 张⾸晟 6.8 8 6 5 10 维京资本 张宇⽂ 6.5 8 5 5 11 了得资本 易理华 6.4 8 6 4 12 FBG Capital 周硕基 6.3 6 6 8 13 千⽅基⾦ 张银海 6.2 8 6 5 14 红杉资本中国 沈南鹏 6.1 10 4 5 15 创世资本 朱怀阳、孙泽宇 6.0 6 6 6 16 Pre Angel 王利杰 5.9 6 8 5 17 蛮⼦基⾦ 薛蛮⼦ 5.8 8 5 3 18 隆领资本 蔡⽂胜 5.5 7 5 3 19 ⼋维资本 傅哲⻜、阮宇博 5.2 6 5 5 20 BlockVC 徐英凯 5.1 6 5 4 数据来源：链塔数据库及公开信息整理 www.blockdata.club www.blockdata.club 2 PART.2 2018中国区块链投资机构20强榜单分析 2.1 区块链平台项目最受欢迎，占比44% 链塔智库根据收录的投资机构20强所投项⽬以及公开信息，对投资项⽬所属⾏业进⾏分类。 20强投资机构投资项⽬⾏业分布 其他 2% 社交 6% ⽣活 8% ⾦融 29% ⽂娱 11% 区块链平台 44%