Zhuang's Diary

言之有物,持之以恒

根据BIS的文章:https://www.bis.org/bcbs/publ/wp44.pdf

直接说结论:公有链会产生现有风险分类中的风险,主要是运营风险,其次是流动性风险和市场风险。银行有管理此类风险的经验,但公有链带来了一些新挑战,可能需要新的或额外的方法来管理风险。减轻这些风险的做法处于不同的发展阶段,一般没有经过压力测试。虽然针对这些风险的技术解决方案尚未成熟,但快速发展可能会产生新的解决方案(和风险),这些解决方案(和风险)可能值得进一步研究。

Discussion of potential mitigants

  • A. Business Continuity Planning Governance risk; technology/attack risk; political, policy, and legal uncertainty
  • B. Technology-based control over parties and transactions Legal/compliance risk (money laundering/financing of terrorism)
  • C. Permissioning a subset of node infrastructure Legal/compliance risk (money laundering/financing of terrorism); technology/attack risks, consumer protections risk
  • D. Technology to address privacy/confidentiality/consumer protection risks Privacy/confidentiality/consumer protection risks
  • E. Technology to address liquidity risk Liquidity risk

Business continuity planning

BCP could involve a registry that can be used to recover ownership after disruption, such as an off-chain database. For example, in the event of a hard fork or an attack on the blockchain that creates uncertainty as to the distributed ledger’s accuracy, the off-chain records could be used to identify the rightful owner of the assets or the branch of the fork that should be followed. BCP could also set out all relevant internal processes, including those to ensure that all transactions and participants are traceable, potential lost data can be recovered, and the records on the ownership of the assets can be retrieved within a reasonable timeframe. In addition, BCP could define an alternative blockchain where assets would be created or ported in case of disruption of the primary blockchain (“designation of a contingency chain”).

Technology-based control over parties and transactions

On certain permissionless blockchains, tokens that parties transact in are created or subject to constraints programmed by smart contracts. Those smart contracts determine the tokens’ operational attributes and limitations. Among other things, smart contracts can be used to control and limit access to and ownership of a token and even to reverse transactions that have already been processed. These features, in turn, could be used to mitigate some of the AML/CFT risk associated with permissionless blockchains. Implementation of permissions can take a number of forms:

  1. Denylisting: when a crypto-asset has deny-listing functionality, the issuer can use the smart contract to bar specified addresses on the blockchain from holding or accessing the asset. A banking organisation might use this functionality to prevent transactions to or from wallets associated with known terrorists, criminals, or states subject to Office of Foreign Assets Control (OFAC) sanctions. The ability to infinitely create new wallets may limit the effectiveness of this mitigant.
  2. Allowlisting: the inverse of denylisting. The token in question is programmed to be accessed only by approved addresses on the blockchain. Addresses that are not on the allowlist will not be able to receive or send the asset. The issuer can add or remove participants to the allowlist via the smart contract.
  3. Privacy-preserving identity verification: technologies such as zero-knowledge proofs may allow identity verification while preserving privacy at the transaction level. Such technologies are nascent in both development and application.
  4. A controller: smart contracts can also be used to empower a designated entity (the controller) to control and limit access to the cryptoasset; block and reverse transactions that are fraudulent; and amend the code that implements the cryptoasset functions to address any deficiencies that may emerge. The controller could be the entity that develops and maintains the business continuity plan (discussed above). The controller would not exercise control over the permissionless network itself, but over the specific tokens of a specific issuance. The controller could use its authority to help mitigate legal/compliance risks, in particular money laundering / financing of terrorism and OFAC sanctions risks, through the use of off-chain due diligence and blockchain-related permissioning technology.

    Permissioning node infrastructure

    Permissioning a subset of nodes might create known validators that are deemed safe for particular users such as banks to interact with. This may help address risks such as legal and compliance risks (including gas fee risks or ML/FT risks), technology/attack risks (including MEV risks), and consumer protection. This would likely come at the cost of slowing down transactions for the parties attempting to avoid paying gas fees to nodes operated by criminals or other sanctioned parties.

    Technology to address privacy, confidentiality and consumer protection risks

    Technology to address privacy, confidentiality, and consumer protection risks is being developed. Some potential solutions, such as zero-knowledge proofs, may take the form of permissioned chains “one level up” from the primary blockchain. In such a configuration, the primary chain is referred to as a layer 1 chain, while the chain one level up is referred to as a layer 2 chain. Alternatively, a separate blockchain that communicates with the permissionless primary blockchain, called a sidechain, may be employed. In addition to zero knowledge proofs, other methods such as fully homomorphic encryption might be used to protect consumer information.

    Technology to address liquidity risk

    Low transaction throughput of popular permissionless blockchains can be exacerbated in times of system stress, imposing liquidity risk on tokenised assets. Several variations on layer 1 consensus mechanisms are intended to speed up the clearance of transactions. In addition, many blockchain projects aim to speed up transaction processing on layer 2 chains and sidechains. However, while these solutions aim to off-load transaction volume from layer 1s, they still depend on the base permissionless blockchain for final settlement and therefore only partly compensate for the layer 1’s transaction processing speed. These technologies are all developing rapidly.

1. 摩根大通(JPMorgan Chase)
项目名称: Liink by J.P. Morgan (原名为Interbank Information Network, IIN)
业务金额: 摩根大通通过Liink的Confirm应用来改进全球资金转账,并降低交易被退回的概率。通过Liink进行的全球支付涉及超过9500000笔交易。此平台目前有90多家金融机构参与,覆盖20多个国家。
启动时间: 2019年以后,Liink在继续扩展和优化功能。
技术实现: Liink是由摩根大通的Onyx部门开发的一个分布式账本平台,最初称为Interbank Information Network (IIN)。该平台利用区块链技术来提高全球银行间支付的透明度和效率。Liink的技术架构基于Quorum,这是一种许可链,旨在确保高效、安全的交易处理。
相关资料: J.P. Morgan Liink

2. 汇丰银行(HSBC)
项目名称: Contour (原名为Voltron)
业务金额: Contour是一个基于区块链的贸易融资平台,旨在简化和加速全球贸易流程。目前,该平台处理的业务金额已超过1亿美元,主要涉及信用证(Letter of Credit)的数字化交易。超过20家银行,包括恒生,中国银行(香港),花旗银行,工商银行,ING,渣打银行,DBS,等等。
启动时间: 2019年正式推出,并且仍在全球范围内扩展。汇丰银行是 Contour 平台的创始成员之一,并且在推动平台的设计、开发和推广方面发挥了重要作用。
技术实现: Contour(前称为Voltron)使用R3的Corda区块链平台来实现贸易融资数字化。Corda是一个专为金融服务设计的分布式账本技术,允许企业通过智能合约来自动化贸易融资流程,并确保交易的安全性和透明性。
相关资料: Contour partners

3. 瑞银集团(UBS)
项目名称: Utility Settlement Coin (USC)
业务金额: USC项目涉及数亿美元的结算交易,由瑞银牵头,参与银行包括巴克莱、德意志银行、汇丰银行等。该项目致力于利用区块链技术进行金融市场的数字化结算。但没有具体的金额披露。
启动时间: 2019年继续扩展并成立了Fnality International公司来推动项目的商业化。
技术实现: USC项目由多家全球银行联合开发,使用了基于区块链的分布式账本技术,旨在创建一种数字货币用于金融市场的结算。该项目后来成立了Fnality International公司,进一步推动了该技术的实际应用。USC具体基于哪一种区块链技术,目前没有公开,但是可以看到Ethereum Enterprise Alliance (EEA) 是Utility Settlement Coin (USC)的活跃成员之一。
相关资料: Fnality International

4. 花旗集团(Citigroup)
项目名称: SETL
业务金额: Citigroup通过投资SETL平台,支持数亿美元的现金和其他资产的区块链结算。SETL旨在现代化资本市场基础设施,确保高效、安全的资产转移。但没有具体的金额披露。
启动时间: 2019年起,Citigroup持续支持SETL的发展。
技术实现: SETL平台旨在通过区块链技术来现代化资本市场基础设施。它允许资产(如现金、证券等)的安全、高效转移。SETL具体基于哪一种区块链技术,目前没有公开。
相关资料: SETL

5. ING银行(ING)
项目名称: HQLAx
业务金额: HQLAx平台旨在优化证券借贷市场,参与的市场规模达到数十亿美元,主要涉及银行间的高质量流动性资产(HQLA)借贷交易。
启动时间: 2018年
技术实现: HQLAx基于R3的Corda平台开发,该平台虽然是许可链,但项目与公有链有紧密关联。HQLAx通过区块链技术改善了市场的流动性和透明度。
相关资料: HQLAx Overviewhttps://corda.net/modal/hqlax/

6. 渣打银行(Standard Chartered)
项目名称: Zodia Custody
业务金额: Zodia Custody服务于大型金融机构,如渣打银行和Northern Trust,提供安全的加密资产托管。
启动时间: 2020年
技术实现: 采用多重签名和冷存储技术,确保符合主要金融监管要求,保障数字资产的安全存储。
相关资料: Zodia Custody Overview

项目名称: Partior
业务金额: Partior为渣打银行、新加坡银行等金融机构提供跨境支付结算服务。
启动时间: 2021年
技术实现: 基于区块链技术,支持实时跨境支付结算,降低交易对手风险,并减少结算时间。
相关资料: Partior Overview

项目名称: Olea
业务金额: Olea为渣打银行和汇丰银行等大客户提供供应链金融服务,帮助企业管理和融资供应链。
启动时间: 2021年
技术实现: 利用区块链技术创建透明且可追踪的供应链融资流程,减少企业融资的时间和成本。
相关资料: Olea Overview

7. 西班牙对外银行(BBVA)
项目名称: BBVA Corporate Loans on Blockchain
业务金额: 西班牙对外银行利用区块链平台进行了数十亿美元的企业贷款结算。
启动时间: 2018年
技术实现: 该项目使用了基于以太坊(Ethereum)的公有链技术来记录和结算企业贷款,使交易透明化并降低操作风险。
相关资料: BBVA Blockchain Projects

8. 法国农业信贷银行(Crédit Agricole)
项目名称: Tokenization of Bonds on Blockchain
业务金额: 法国农业信贷银行的意大利分行与金融科技初创公司BlockInvest合作,正在推动债券代币化项目。该项目特别关注中小企业(SMEs)的债券发行,这也是意大利央行探索分布式账本技术(DLT)的一部分。
启动时间: 自2021年以来,该项目一直在发展,最近在2023年进行了扩展,重点是平台的扩展和新监管要求的整合,包括未来可能引入的加密欧元。
技术实现: 该项目使用了以太坊(Ethereum)和Polygon公有区块链平台,以提供一个安全透明的环境来进行债券发行。项目旨在提高债券交易的效率,增加市场的流动性和可访问性。未来,项目计划集成自动交割对付(DvP)和链上身份解决方案,以确保合规性和提高运营效率。
相关资料: SEB and Crédit Agricole CIB launch digital bond platform built on blockchain technologyhttps://www.ledgerinsights.com/credit-agricole-italy-bond-tokenization/

9. 富达投资(Fidelity Investments)
项目名称: Fidelity Digital Assets
业务金额: 未披露具体金额,但富达投资的数字资产业务管理着大量的加密货币,包括比特币和以太坊,服务于全球的机构投资者。
启动时间: 2018年启动,是传统金融机构中较早涉足数字资产托管领域的公司之一。
技术实现: 富达的数字资产平台通过定制化的冷存储和热存储解决方案,提供高度安全的数字资产托管服务。平台采用了多重签名技术和先进的安全协议,确保资产的安全性和符合监管要求。此外,富达还提供交易执行、市场接入和其他增值服务,以帮助客户在数字资产市场中进行投资。
相关资料: Fidelity Digital Assets Fidelity-backed crypto security startup Fireblocks launches ‘Secure Asset Transfer Network’

10. 德意志银行(Deutsche Bank)
项目名称: Digital Asset Custody Platform
业务金额: 具体金额未披露,但该平台旨在为机构客户提供广泛的数字资产托管服务,包括比特币和以太坊等主要加密货币。德意志银行已经为此申请了监管许可,显示其在这一领域的重大投入  。
启动时间: 项目于2021年启动,并在2023年加速推进。
技术实现: 平台结合了传统银行系统和数字资产生态系统,提供机构级别的冷存储和热存储解决方案,确保资产的安全性和合规性。
相关资料: CoinDesk, Daily Hodl

11. 法国巴黎银行(BNP Paribas)
项目名称: BNP Paribas Securities Services’ Digital Asset Custody
业务金额: 未披露具体金额,但该平台旨在为机构客户提供安全且合规的数字资产托管服务。
启动时间: 2022年启动,目前正在积极扩展服务以满足市场需求。
技术实现: 法国巴黎银行与两大金融科技公司Fireblocks和METACO合作,开发了这一数字资产托管平台。Fireblocks提供热钱包、代币化和连接基础设施层,METACO则提供银行级别的数字资产托管和编排平台。平台集成了区块链技术,旨在为客户提供安全且高效的数字资产发行、转移和托管服务。
相关资料: BNP Paribas Securities Services to develop digital assets custody capabilities through partnerships with METACO and Fireblocks

12. 瑞银集团(UBS)
项目名称: UBS Digital Asset Custody
业务金额: 未披露具体金额,但主要为高净值客户和机构投资者提供服务。
启动时间: 2021年启动,逐步扩展数字资产管理服务。
技术实现: 该平台采用区块链技术,提供全面的数字资产管理和托管服务,确保高效且安全的资产交易。
相关资料: UBS Tokenize

13. 高盛(Goldman Sachs)
项目名称: Goldman Sachs Digital Asset Custody
业务金额: 未披露具体金额,但高盛的数字资产托管服务预计涉及数十亿美元的资产管理。
启动时间: 2021年启动,并逐步扩展以涵盖更多类型的数字资产。
技术实现: 平台整合了冷存储和热存储解决方案,确保符合机构投资者的安全性和合规性要求。
相关资料: Goldman Sachs/discover/gs-dap

  1. 免费开源版本,图标库 -
    https://github.com/plotly/plotly.js
    https://github.com/apache/echarts
    如下图中的 Price Performance Widget:

  2. 付费商业版本,图标库 -
    https://devexperts.com/dxcharts/

看到,收费版本最大的优势 - 可以在图标中画线,做进一步的个性化的分析。

另外,再推荐一下 OPENBB - https://www.openbb.co/ ,目前已经将ChatGPT作为投资研究的一种工具,整合进到OPENBB ( https://www.youtube.com/watch?v=Uj_wpLC-Zho )。

Ethereum

安装手册:https://github.com/eth-educators/eth-docker

  • 32 GiB of RAM - 16 GiB works but can be challenging depending on client mix
  • 4 CPU cores
  • 4TB “mainstream” SSD - TLC and DRAM.
    如 GCP 示例:

    8 vCPU: This means the virtual machine (VM) has 8 virtual Central Processing Units (vCPUs). A vCPU is a virtualized CPU that the VM uses to run processes. Each vCPU is a share of the physical CPU’s resources allocated to the VM.
    4 cores: This refers to the number of physical cores backing the virtual CPUs. In this case, the 8 vCPUs are mapped to 4 physical CPU cores. Typically, this implies that each physical core is hyper-threaded, meaning it can handle two threads simultaneously, effectively providing two vCPUs per core.

Linea

安装手册:https://docs.linea.build/developers/guides/run-a-node/use-docker

Polygon

安装手册:https://docs.polygon.technology/pos/how-to/full-node/full-node-docker/

关于《脉络》这一本书,吴军和尹烨做了一期视频会议,分享了关于一些未来的预测。

  1. 无论是中国的,还是人类的,其生产远远没有过剩。大片的沙漠,河流,土地,太阳能,风能,等等都在等待开发。地球即使经历核大战,环境也仍然大幅优于火星,所以移民火星,月球将是是非常遥远的未来。
  2. 未来看好虚拟经济,服务业。如未来的老龄化,思想文化大发展等趋势,相应的原宇宙,区块链/加密货币,AR/VR,AI,医疗,金融/税务,等服务业。
  3. 给目前高考学生的报考方向
    1.计算机;
    2.医疗,医学,药学,健康,护理,生物学;
    3.金融;
    4.教育。
    普通人的话,还看好餐馆儿,护理等就业方向。
  4. 未来看好的经济圈
    1.英语地域圈;
    2.东亚中日韩;
    3.印度。