Tradewind

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Updated & Revised to include over 400 Banks & Financial Institutions using blockchain technology in 2020 ________________________ The below article is from: . The list has been updated, however, to include over double the banks originally listed. At the time of publishing, the list contains 414 banks and Financial Institutes from around the world that have invested in blockchain technology to some degree. Comprehensive List of Banks Using Blockchain Technology One of the industries which have been the most opposed to blockchain technology is the finance industry, but specifically banks. Initially, they saw the concept of blockchain as direct competition, actively removing the control they have over the funds and accounts of their customers. However, major players in the finance industry have increasingly begun to warm up to blockchain. Financial institutions and other major companies are inherently slow in adopting any new technology, but have actually been exploring various use cases for some time now. So let’s take a look at which institutes have already implemented the change or are looking into it as we speak. According to CEBNet in early 2019, of the 26 publicly listed banks in China, 12 have already adopted blockchain technology for various use cases within their systems. These banks vary from state owned ones like the Bank of China, China Construction Bank and the Agriculture Bank of China, to privately owned ones, including China Merchants bank. This is just China, before the strong public drive for blockchain adoption in late 2019, but the sentiment remains positive throughout the rest of the world. ALFA Bank from Russia, Yes Bank from India, UOB (United Overseas Bank) from Singapore, CommonWealth Bank from Australia, and LatiPay from New Zealand are a few banks that have collaborated with a US based blockchain company. The Federal Bank from India & Lulu Exchange have partnered with a Bengaluru based fin-tech company. Axis Bank, RAK Bank, & Standard Charter Bank have connected with another blockchain network. Kotak Bank, which enables blockchain based trade finance operation, partnered with Deloitte & JP Morgan Singapore. Other use-cases within the financial sector which have been developed include simplying and speeding up cross-border payments, improving trading accuracy, reliability and shorter settlement processes. Smart contracts have created benefits with the processing of transactions by removing the need of the middle man, as well as being used to develop loyalty and rewards systems. There are a lot more banks working within multiple technology & service providers to integrate blockchain in their Use Cases. This just demonstrates the demand in all industries for the adoption of blockchain technology. is making this possible with the ecosystem and the aelf Innovation Alliance which will enable blockchain technology to be adopted and integrates into mainstream organizations large and small. This has enabled the alliance to be successful with partnerships from experts and influencers like and , , and . Not only do organizations now have a platform to build upon, but they have resources, capital and expert advisors at their fingertips, which is all made possible through the this revolutionary initiative. Aelf aelf Michael Arrington Arrington XRP Capital Huobi Labs FBG Capital aelf ________________________ Below is a list of over 400 banks and financial institutes using or soon to be using blockchain technology: Banks 77 Bank ABN AMRO AEON Bank AIB Akbank Akita Bank Al Rajhi Banking & Investment Corporation Alawwal Bank Alfa Bank Allied Irish Bank ANZ (Australian and New Zealand Bank) Aomori Bank Al Rajhi Bank Ashikaga Bank ATB Financial Axis Bank Awa Bank Alipay Ant Financial B3 Banco Bilbao Vizcaya Argentaria (BBVA) Banca Intesa Sanpaolo Banca Mediolanum Banca Mifel Banco BICE Banco Bisa Banco Bradesco Banco de Crédito del Perú Banco de Investment Global Banco de Sabadell Banco de Galicia y Buenos Aires Banco Industrial Banco Mercantil del Norte Banco Mercantil Santa Cruz Banco Nacional de Bolivia Banco Popular Dominicano Banco Regional Banco Santander Bangkok Bank Bank ABC Bank Al Habib Limited Bank Busan Bank Dhofar Bank Frick & Co Bank Of America|Merrill Lynch Bank of Cyprus Bank Of England Bank of France Bank Of Indonesia Bank Of Iwate Bank Of Leumi Bank of Lithuania Bank of Montreal Bank Of Nagoya Bank Of Okinawa Bank Of Thailand Bank Of The Ryukyus Bank Of Tokyo-Mitsubishi UFJ Bank Of Yokohama Bankinter Banorte Banreservas Banque Internationale de Commerce — BRED (Suisse) Banque Thaler Barclays’ investment bank BCI Bexs Banco De Cambio BMO Financial Group (Bank of Montreal) BNP Paribas BNY Mellon BRAC Bank Limited Banco BTG Pactual Bank Mellat Bank Melli Iran Bank Pasargad BBVA CBW Bank (Citizens Bank Of Weir) Central Bank of Brazil Chiba Bank Chiba Kogyo Bank China Banking Association China Merchant Bank China CITIC Bank International Limited China Guangfa Bank Chong Hing Bank Limited Chugoku Bank (Bank of China) CIBC (Canadian Imperial commercial banks) CIM Banque S.A Geneve Citi Coast Capital Savings Commercial Bank of Africa Limited Commerzbank Commonwealth Bank Of Australia Cooperatieve Rabobank Credicorp Bank Credit Agricole Credit Libanais SAL Credit Suisse Cross River Bank CTBC Bank Cuallix Daishi Bank Daiwa Next Bank Danske Bank DBS Bank (Development Bank of Singapore) Deloitte DenizBank A.S. Deutsche Börse DNB Deutsche Bank Ehime Bank Eastern Caribbean Central Bank EQI Bank First America Bank Federal Bank of India Federal Reserve System Fidor Bank Fukui Bank Gazprombank Gunma Bank Goldman Sachs Habib Metropolitan Bank Limited Hachijuni Bank Hiroshima Bank HOKURIKU BANK Hong Kong Monetary Authority HSBC (Hong Kong Shanghai Bank) HYAKUGO BANK ICICI Bank Indovina Bank Ltd IndusInd Bank (Indus India Bank) Intesa Sanpaolo (Intesa Sanpaolo) Itau Unibanco Iyo Bank ING Japan Post Bank Joint Stock Commercial Bank for Investment and Development of Vietnam Joint-Stock Company BCS-Investment Bank JPMorgan JS Bank Limited Juroku Bank KASIKORNBANK Public Company Limited KEB Hana Bank Keiyo Bank Kotak Mahindra Bank Krungsri (Bank Of Ayudhya / Bank of Ayudhya) Kuveyt Turk Katilim Bankasi Kuwait Finance House Macquarie Group MauBank Limited Michinoku Bank Mitsubishi UFJ Trust And Banking Corporation Mizuho Financial Group Monetary Authority Of Singapore Morgan Stanley Musashino Bank National Australia Bank National Bank Of Abu Dhabi (NBAD) National Bank of Cambodia National Bank of Canada National Bank of Egypt National Bank of Kenya Limited National Bank Of Kuwait Natixis NISHI-NIPPON CITY BANK Nomura Trust And Banking Company Norddeutsche Landesbank Girozentrale Nordea Bank Norinchukin Bank North Pacific Bank NPCI (National Payments Corporation Of India) Oita Bank ORIX Bank Oversea-Chinese Banking Corporation PKO BP Prime Bank Ltd. Privatbank IHAG Zurich PT Bank Central Asia Tbk PT Bank CIMB Pakistani Central Bank Rabobank Nederland Raiffeisen Bank RAKBANK (National Bank Of Ras Al-Khaimah PJSC) RBL Bank RCBC RCI Bank & Services ReiseBank Reserve Bank Of India Resona Bank Royal Bank Of Canada Royal Bank Of Scotland San-In Godo Bank Santander Bank Saudi Arabian Monetary Authority (SAMA) SBI Sumishin Net Bank Scotiabank (Nova Scotia Bank) SEB Senshu Ikeda Bank Seven Bank Shanghai Huarui Bank (SHRB / Shanghai HanaMizuho Bank) Shiga Bank Shikoku Bank Shimizu Bank Shinhan Bank Shinkin Central Bank Shinsei Bank Shoko Chukin Bank Siam Commercial Bank Skandinaviska Enskilda Banken (SEB) SMBC Societe General Sony Bank South African Reserve Bank South Indian Bank Standard Chartered Bank Star One Credit Union Sumitomo Mitsui Banking Corporation Sumitomo Mitsui Trust Bank Suruga Bank Sveriges Riksbank Switzerland’s UBS Synchrony Bank Signature Bank Silvergate Bank The First International Bank of Israel Ltd Tochigi Bank Toho Bank Tokyo Star Bank Toronto-Dominion Bank Towa Bank Tsukuba Bank Turkiye Finans Katilim Bankasi Telenor Microfinance Bank UBS Union Bank United Overseas Bank UniCredit Union Bank Of The Philippines US Bancorp Vietnam Joint Stock Commercial Bank for Industry and Trade Volksbank Mittweida Wells Fargo Westpac Bank Woori Bank WEG Bank Yachiyo Bank Yamagata Bank Yamaguchi Bank Yes Bank __________________ Other institutes related to Financial Services Accenture Ainslie Bullion AirWallex ALFAcashier American Express AstroPay Australian Stock Exchange and Depository Trust Banquecorp Physical Gold BCS Information Systems BeeTech Bill & Melinda Gates Foundation BitcoinIRA BitGo Bladex Bluzelle BNY Mellon Bolsa de Madrid BPCE Bradesco Bloomberg BNP Paribas Boerse Stuttgart Digital Ventures BP PLC Cambridge Global Payments CBH Compagnie Bancaire Helvétique CGI CIBC Clearing Corporation [DTCC] CLS Group Coil Crypto Facilities Currencies Direct Daiwa Securities Group Davivienda DAYLI Financial Group Deloitte Touche Tohmatsu DH Corporation Dianrong Digiledge Dinex DLocal DBS DTCC Earthport Ernst & Young Everis European Central Securities Depositories Association Exchange4Free Expanse Expertus Technologies EZforex Employees’ Retirement System eToro FairFX FlashFX Fulton Financial Corporation Fidelity Investments Global ID Gold Bullion International GSR Markets Ho Chi Minh City Development JS Commercial HQLA IBM IDT Corporation Infocomm Development Authority Of Singapore Infosys InstaReM IntellectEU International Foreign Exchange (IFX) Intesa Sanpaolo Itaú International Chamber of Commerce International Securities Services Association Jaccoo Jamica Stock Exchange Julius Baer KB Financial Group LatiPay Lianlian Pay Lulu Exchange Linx Partners London Metal Exchange London Stock Exchange Luxembourg Stock Exchange Marqeta Mastercard MIT (Massachusetts Institute of Technology) MoneyMatch Mercury FX MoneyGram Morgan Creek MUFG Natixis New Forest Capital Niaga Tbk Nordea Northern Trust NASDAQ Nomura OANDA Omidyar Network Omni OP Financial Group Paris Europlace Paycase Financial Persistent Systems PolySign Portal Finance Paypal Proof of Capital Qiwi R3 CEV RationalFX Reyl & Cie SA RIALTO.AI Revolut Saldo.Mx SAP Satoshi Systems SBI Holdings SBI Remit SBI Ripple Asia SBI Virtual Currencies Scopus SEB Group Shuttle Holdings SIA Singapore Exchange (SGX) Smart Token Chain SnapCheck Sparro SRI Capital Stock Exchange of Thailand SuMi TRUST SunTrust SWIFT (Society for Worldwide Interbank Financial Telecommunication) SGX SIX Group Société Générale SoFi Square Swissquote TAS Group Tata Consultancy Services (TCS) Telindus Temasek Holdings Temenos The PAR Foundation The Royal Mint TradeCloud TradeIX TradeWind TransferGo Thai Stock Exchange The National Payments Corporation of India Thomson Reuters Eikon Tora UAE Exchange (UAE Exchange) Union FX UniPAY Viamericas Corporation Volante Technologies Virginia’s Police Officer’s Retirement System Visa Western Union Yantra Financial Technologies Zip Remit If you find a bank or financial institute not on this list please comment or message me directly so I can add to this list. At the time of writing this was the most comprehensive list available to the public

Comprehensive List of Banks using Blockchain Technology in 2020  [Updated]

The State of the Blockchain and Cryptocurrency Job Market in 2019-2020 A volatile crypto market, high-profile layoffs, the creation of new blockchain jobs, the growth of DeFi and an increased awareness of Bitcoin. Last year, the crypto job market felt different, but overall it was a good different. 2019 was characterized by a volatile cryptocurrency market, a succession of high-profile layoffs, but also the creation of new blockchain jobs, the growth of Decentralized Finance, and increased awareness of Bitcoin. Cryptocurrency Layoffs There were high-profile layoffs at cryptocurrency companies that began at the end of 2018 and continued throughout 2019. The reasons cited for the layoffs were regulatory concerns, market conditions, and the need to streamline operations to refocus on profitability. ConsenSys, a blockchain venture production studio, announced a strategy shift to streamline its business, which led to a 13 percent reduction in its team. Steemit, a blockchain-based social media platform, laid off 70 percent of its staff, and Shapeshift, a digital asset exchange, reduced the size of its team by a third. In November 2019, New York-based blockchain analytics firm Chainalysis laid off 39 employees, about 20 percent of its workforce, and Circle reported layoffs in May and a new round in December. At the end of December, , a custodial bitcoin wallet provider, shut down operations in response to the EU’s Fifth Anti-Money Laundering Directive (5AMLD) that comes into effect on 10th January 2020. The 5AMLD introduces stricter regulatory controls across more sectors, including cryptocurrencies. Several other European firms have shut down in response to the new Directive. Bottle Pay Cryptocurrency mining company Bitmain closed its Israel-based research and development arm and laid off more than 50 percent of its employees. Recent suggest that Bitmain has plans to further reduce its workforce this year before the Bitcoin block reward halving that is likely to occur in May. reports Many smaller firms also closed during the year. Market Volatility and Cryptocurrencies The volatility in cryptocurrency prices continues to affect the blockchain job market. , a Senior Financial Services Editor at LinkedIn, plotted the proportion of new hires that are blockchain developers according to LinkedIn data, with the monthly price of bitcoin. Devin Banerjee Source: Devin Banerjee, LinkedIn The data shows how the hiring market for blockchain developers tends to follow BTC prices. In LinkedIn’s recent , which identifies the top 15 jobs that have emerged over the last five years, Blockchain Developer, is no longer present. Last year, it topped the list. US Emerging Jobs Report The report cites that this “may not come as a surprise given the rapid decline in popularity of Bitcoin and other cryptocurrencies.” As the Emerging Jobs analysis is based on LinkedIn members with a public profile, I should mention that many within the crypto space do not have a LinkedIn profile for security reasons, and several crypto profiles on the professional networking site have been found to be fake. LinkedIn’s report is an interesting data point, but it does not reflect the overall state of the blockchain and crypto hiring market. Based on , despite the bear market and volatility in cryptocurrency prices, demand for blockchain talent and interest in working in the crypto space has remained strong throughout 2019. our cryptocurrency jobs data Although the LinkedIn Report states that there has been a rapid decline in the popularity of Bitcoin and other cryptocurrencies, a conducted by The Harris Poll on behalf of Blockchain Capital presents a different picture. survey Despite the bear market, the data shows that Bitcoin awareness, familiarity, perception, conviction, propensity to purchase and ownership all increased/improved significantly — dramatically in many cases. The results highlight that Bitcoin is a demographic mega-trend led by younger age groups. In Electric Capital’s , which focuses on developer activity from June 2018 to June 2019, the authors conclude: Developer Report H1 2019 Despite market downturns in 2018, Full Time developers increased 13% year-over-year in June 2019 and are consolidating around high network value projects. Code commit volume is consistent but total monthly active developers are down 10% Y/Y. 80% of developer loss came from One Time per month and Part Time developers. The biggest developer drop-off came from projects outside of the Top 100 by network value. Smart Contracts, Infrastructure, and DeFi ecosystems continue to gain Full Time developers. Overall crypto ecosystems are approaching the size of well known open source projects such as Apache, but still has plenty of space to grow. The crypto space is also global, and there has been much activity outside the US. In LinkedIn’s , Blockchain Developer tops the list of emerging jobs. Emerging Jobs 2020 report for India The country is seeing a rise in digital transactions, and therefore industries are ramping up investments in blockchain. This strong demand for blockchain tech talent puts ‘blockchain developer’ on top of the list. — Ruchee Anand, head of talent and learning solutions at LinkedIn India Key Findings from Cryptocurrency Jobs During 2019, 1135 crypto and blockchain jobs at 472 companies and startups were posted on our site, . CryptocurrencyJobs.co As in previous years, the crypto space continues to be dominated by engineering roles. Here’s a breakdown of blockchain jobs distributed across roles: Customer Support: 7% Design: 10% Engineering: 31% Marketing: 13% Operations: 17% Other: 13% Sales: 9% With the refocus on profitability and bringing products to market, there has been an increase in blockchain design, marketing, and sales roles. Compliance, legal and regulatory related roles have also seen an increase in demand, which reflects the changing regulatory environment for cryptocurrency companies. Regulators have also had to increase their digital asset teams. During the year, the US Securities and Exchange Commission posted job openings for a and a . Digital Asset Expert Securities Compliance Examiner (Blockchain Expert) The has been looking to hire a manager to oversee its traditional payments section and research “digital currencies, stable coins, distributed ledger technologies, and broadly financial/digital innovation in retail payments.” US Federal Reserve The major employers continue to be cryptocurrency exchanges. Research by found that 42% of blockchain industry employees work for cryptocurrency exchanges, with another 10% for mining hardware manufacturers. The Block 2019 was also the year of Decentralized Finance (DeFi). The explosive growth in DeFi contributed to many new job openings. Most crypto job opportunities are in San Francisco and New York. In Europe, the main hubs are London and Berlin, and in Asia, it’s Singapore and Hong Kong. In Latin America, it’s Buenos Aires. An exciting trend in 2019 was the increase in crypto job opportunities in Africa. Many will be looking at Africa this year as Jack Dorsey, CEO of Square Crypto and Twitter, has announced plans to move temporarily to the continent following a month-long visit to entrepreneurs. The Cryptocurrency Job Market is Maturing In addition to the growth in blockchain job openings, another sign that the crypto industry has matured is the high-profile executives that have entered the space. During 2019, there were many notable hires from Wall Street, the tech industry, government, and beyond. Coinbase hired LJ Brock as Chief People Officer from Citadel Cred hired Joe Podulka, a former PayPal executive as its Chief Financial Officer Bakkt hired Erik Haas, who previously headed the regulation department at ICE, as Director of Compliance Tradewind Markets hired Leon Shklar, a former Managing Director of Technology at BNY Mellon, as its Chief Technology Officer Amber Group hired Jeffrey Wang, a former Head of Derivatives Trading for Asia at Morgan Stanley Square Crypto hired former Google Director Steve Lee as Head of its newly formed team Gemini hired Julian Sawyer, former co-founder and Chief Operating Officer at Starling Bank, to manage its European operations C Labs hired Jai Ramaswamy, former Head of Enterprise Risk Management at Capital One, to head up its global regulatory, risk and compliance matters Blockchain hired Howard Surlof, former Deputy General Counsel of Blackrock and Global Chief Operating Officer of Blackrock's iShares and Index business, as General Counsel Since I launched in 2017, I’ve interacted and helped many people that want to transition into the crypto space. Cryptocurrency Jobs Despite the bear market, company layoffs, and uncertainty in the space, job seekers remain optimistic. From the high school teacher to the corporate professional to the undergraduate, they’re all looking for an opportunity to join the crypto industry. Although they express many reasons for why they want a career in crypto, a common factor is that it presents them with the opportunity to work on something that has never been done before; to build a better system, a decentralized future. You must work on something that inspires you and others, you must work on something with a significant impact, and you must do it in a way that makes getting where you want to go as easy as possible and keeps you there as long as possible. — , Partner at Union Square Ventures Fred Wilson Unfortunately, two common myths continue to come up in my conversations with job seekers that I want to dispel. You don’t need to be a developer to work in this space. Over 40 percent of jobs on Cryptocurrency Jobs are . non-technical You also don’t need prior blockchain work experience. Although some companies require previous experience, many are more interested in your prior work experience and that you are passionate about working in the space. This is true across roles. If you are interested in working in crypto, please apply. Do not self-reject. A Call for Internships and Entry-Level Opportunities There are still too few roles and available. entry-level internships With the rise of crypto in higher education and the recognition that Bitcoin is a demographic mega-trend led by younger age groups, there needs to be more job opportunities for these young, creative, and talented individuals. In 2020, I’d love to see more entry-level and internship opportunities across roles, ideally, that are remote so everyone can apply. If you’re hiring interns or offer entry-level opportunities, , and I will help you. get in touch While it’s still early days, I’m excited about cryptocurrency and what’s possible as more talented people of all demographics and backgrounds from around the world join forces and leave their mark on this space. If you are currently hiring or plan to do so this year, as I want to help you grow your team. get in touch

What the Heck is Happening in the Cryptocurrency Job Market? 

Cryptocurrency trading has stirred the financial world, inviting ordinary people into a thrilling yet unpredictable market. However, amidst the victories, we find stories of traders fooled by fake promises and suspicious services. In this unstable field, one question stands out: "How can we identify the real from the fake?" Alexander Bogdanov,  co-founder of TradeLink, states clearly, "We want to create a fair and transparent crypto trading environment. This goal led us to develop TradeLink — a tool that increases investor trust in trading strategies." So, what is TradeLink, and why should you care? Let's delve into our goals, services, and shared dream. The mission of TradeLink is: to support real traders in a crowd of fakers, making sure every crypto enthusiast, beginner or expert, can understand who is trustworthy. We're creating a trading community centered on excellent trading strategies and transparency. TradeLink Passport: Tailored for Genuine Traders Needs states Yuriy Avdeev, co-founder and CEO of TradeLink. "Transparency is the cornerstone of trust, and trust is the cornerstone of TradeLink. Our aim with TradeLink Passport is to provide a platform that is as open and understandable as possible. It is more than just a service—it's a tailor-made tool that lets traders shine," is a vital tool for crypto traders and investors. Here's why: TradeLink Passport We are built on transparency. We gather, calculate, and show each trader's stats in an easy-to-understand portfolio format. This helps users to invest their time wisely, quickly analyzing every trader not by his words, but performance. proof-of-competence At TradeLink, traders can control how visible they are, with the option to keep their portfolios private or accessible via a link. Those who decide to make it public can list their portfolios in our , catching the eye of the entire TradeLink community. rating section TradeLink Passport also lets traders build their professional online image. By labeling trading styles, linking social media channels, and adding posts from their Telegram channels, traders create an identity that fits them. personalizing profiles, Our community includes various trading strategy developers, high-volume fund members, and crypto trading enthusiasts, adding trust to our platform and mission. Looking forward, we imagine a future where all investors can access well-checked, successful crypto trading strategies. Our TradeLink Marketplace aims to , providing a safe place for retail investors tired of misleading traders and average social trading platforms. energize the crypto asset management field TradeLink Marketplace: High-Quality Asset Management Platform for Everyone is offering a safe route to profitable crypto trading strategies from our community. TradeLink Marketplace Here's the great thing - the TradeLink Marketplace is essentially a hub where you can safely follow the best-selected trading strategies collected from TradeLink Passport and profit from your investments. You can rely on the expertise of successful traders without having to learn everything yourself. Our way is transparency, responsibility, and investor control. We only collect, assess, and provide access to proven trading strategies, without storing user’s assets. Investments are made via an API connection to your exchange account, ensuring you fully manage your funds and give us only the necessary permissions. We've introduced a feature to create from any trading strategies listed on our marketplace, giving you the power to spread risk across multiple instruments that fit your goals personalized indices Creating indices is powered by our own development called . It aids the replication of joint results from a group of pre-set trading strategies by following their trading operations on a single exchange account. Joint Execution Technology (JET) TradeLink Marketplace is an uncompromised asset management platform in the unpredictable world of crypto trading. You can follow the best, invest confidently, and keep control over your assets. The only price to pay is a profit-sharing fee; you can learn more by visiting our landing page at the bottom of this article. TradeLink: Pioneering a Fairer Crypto Trading Landscape TradeLink's future isn't based on idle dreams but on real actions to democratize access to successful trading strategies. We're tirelessly working to expand our offering of proven, efficient trading strategies, making them accessible to all traders, and investors regardless of their level of expertise or wealth. Moreover, TradeLink is dedicated to helping quality trading strategies spread among other asset management platforms via white-label mechanisms. We have big plans for TradeLink. One of our planned features includes the development of active indices management. Like active portfolio management in traditional finance, managing indices involves adjusting strategy allocations to optimize gains. In the future, we see a platform where clever individuals can change these indices following the market trends, enhancing their own returns and those of their followers. Moreover, we plan to create an affiliate program and referral system to encourage the growth of our community. We believe that creating a platform based on shared development, knowledge exchange, and mutual benefit is key to transforming the crypto trading landscape. Creating a fairer, more transparent trading world is not a task we can do alone. It's a group effort. That's where you come in. We’re asking for help — take part, tell about TradeLink to your audience, friends, and colleagues, and start conversations about a world where trust and transparency in trading are the rules, not the exception. Based on our knowledge, truly successful traders are always ready to showcase their trading achievements. TradeLink's mission is to help genuine traders distinguish themselves from the masses by providing them with an easily shareable validation of their skill and proficiency. As we continue the development of the TradeLink platform, we aim to support more crypto exchanges. It's a big task, but with your voice amplifying our mission, we can reach the right people, attract the right talent, and make our platform more inclusive. Remember, TradeLink is about you. It's about your empowerment, growth, and voice in the wild world of crypto trading. Join our community, engage in the discussion, and contribute to our shared vision for the future of crypto trading. Your input and support matter, and we can revolutionize this space together. You can follow our updates by visiting TradeLink’s landing page.

Shaping a New Era of Transparent Crypto Trading: TradeLink

Dando forma a una nueva era de criptocomercio transparente: TradeLink

Façonner une nouvelle ère de crypto trading transparent : TradeLink

पारदर्शी क्रिप्टो ट्रेडिंग के एक नए युग को आकार देना: ट्रेडलिंक

透明な仮想通貨取引の新時代を形作る: TradeLink

Moldando uma Nova Era de Negociação Transparente de Criptomoedas: TradeLink

Định hình kỷ nguyên mới của giao dịch tiền điện tử minh bạch: TradeLink

塑造透明加密货币交易的新时代：TradeLink

Below are a number of steps examining the in-depth processes of STARK. Step1 - Build Trace（fib2-example) The numbers marked in ‘red’ are public info. Some assertion:
Form: [register, step, value]
examples: [0,0,1], [1,0,1], [1,7,987] Step2 - Prover for Trace Selection of the protocol parameter: pub struct ProofOptions {
    num_queries: u8, // number of queries to increase reliability
    blowup_factor: u8, // domain extension factor
    grinding_factor: u8, // ？nonce security parameter, for the security selection of query position
    hash_fn: HashFunction, // Hash Function blake3-259/192, sha3-256
    field_extension: FieldExtension, // Whether the field extension is conducted
    fri_folding_factor: u8, // The folding factor of Fri protocol 4-8-16
    fri_max_remainder_size: u8, // The max remainder of Fri protocol
} 1. AIR Instantiation FibAir {
            context: AirContext::new(trace_info, degrees, options),
            result: pub_inputs,
        }

        AirContext {
            options, // protocol parameters
            trace_info, // trace parameters: row number and col number
            transition_constraint_degrees, // transition the constraint degree, and if the multiplication of two registers is involved, then degree = 2; similarly, if the multiplication of three registers is involved, then degree = 3; if periodic column exists, then degree = base + period.length – 1
            ce_blowup_factor, // constraint computational domain extension factor   trace_domain < ce_domain < lde_domain
            trace_domain_generator: B::get_root_of_unity(log2(trace_length)),
            lde_domain_generator: B::get_root_of_unity(log2(lde_domain_size)),
        } 2. Verify the Consistency of AIR and Trace (Debug module) 2.1 Verify Basic Parameters Trace.width = air.trace_width 2.2 Verify the Validity of Assertion (Boundary cs) Trace[assertion_i.register][assertion_i.step] = assertion_i.value 2.2 Verify if Trace Holds Transition cs (Debug Module) Loop:
For every two adjacent rows:
pub struct EvaluationFrame<E: FieldElement> {
    current: Vec<E>,
    next: Vec<E>,
}
Holds:
next[0] == cur[0] + cur[1]
next[1] == next[0] + cur[1]

The number of times of Loop: Trace.length - 1 Transcript write.into(air, public info) 3. Commit for Trace Domain parameter selection: StarkDomain {
            trace_twiddles, /ntt twiddle factor
            ce_domain_size: air.ce_domain_size(), //constraint computational domain
            ce_to_lde_blowup: air.lde_domain_size() / air.ce_domain_size(), // LDE domain
            domain_offset: air.domain_offset(), //domain offset
} 3.1 Interpolate -> LDE -> evaluate over LDE-domain 3.2 Commitment Transcript write.into(cm_to_trace) 4.Evaluate CS 4.1 Obtain Linear Composition Coefficients Ok(ConstraintCompositionCoefficients {
            transition: t_coefficients,
            boundary: b_coefficients,
}) The number of coefficients is consistent with that of constraints In this example (fib2-example), there are 2 transition cs and 3 boundary cs. 4.2 Establish the Evaluator for t-cs and b-cs 4.2.1 t-cs 1. Obtain the degree of t-cs (In this example, the degree is [1,1], refer to Chapter 2.3)

2. Establish the t-cs group (record the parameters needed for reaching the object of degree -> compose degree（ce_domain_size - 1）
    Loop:
Calculate the evaluate-degree = base * （trace.length - 1） + tracce.length / period.cycle *(period.length - 1) of every t-cs
Establish the t-cs group according to the degree: 
    TransitionConstraintGroup {
            degree, // the degree of t-cs
            degree_adjustment, // The space to reach the object degree, target_degree = composition_degree + trace_poly_degree(vanish poly-degree), degree_adjustment = (target_degree - evaluation_degree)
            indexes: vec![],
            coefficients: vec![],
        }
Record index and distribution coefficient “coef”

Cycle each t-cs (In fib2-example, cycle twice)

3. Establish the period value table
4. Set the divisor for t-cs, with all t-cs having the same form
    z(x) = x^n-1 / x - g^{n-1} // The last value does not satisfy the condition 4.2.2 b-cs 1. The divisor of each b-cs is not necessarily the same

2. Judge that if the number of assertions is the same as the number of coefficients to be distributed
    assertion.len() == coefficients.len()
3. Establish the b-cs group
    Loop:
Obtain the type and initial step of the assertion
Establish the b-cs group
    BoundaryConstraintGroup {
            constraints: Vec::new(),
            divisor, //  The divisor corresponding to the boundary
            degree_adjustment, target//The space to reach the object degree, target_degree = composition_degree + divisor.degree()，degree_adjustment = (target_degree - trace_poly_degree)  
    }
Add b-cs forms
    air::BoundaryConstraint {
            register: assertion.register, // Corresponding register index
            poly, // assertion value polynomial, interpolation is required for multiple values; otherwise, it is a single value
            poly_offset, //offset information. If the assert is in the first step, it is [0,1], otherwise it is [1, T]
            cc, // Coefficient distributed to this b-cs
    }
    prover::BoundaryConstraintGroup {
            degree_adjustment: group.degree_adjustment(),
            single_value_constraints: Vec::new(),// corresponding Sigle value assertion
            small_poly_constraints: Vec::new(),//assertion whose assertion value num is smaller than 63
            large_poly_constraints: Vec::new(),//assertion whose assertion value num is larger than 63, the values in ce_domain are needed to conduct Pre_compute
    }; 4.3 Evaluate t/s-cs Over ce_domain 4.3.1 Define Evaluator Table ConstraintEvaluationTable<B: StarkField, E: FieldElement<BaseField = B>> {
evaluations: Vec<Vec<E>>, //[ce_domain_size][t_cs_merge_value (0): b_cs_values(1...)]
divisors: Vec<ConstraintDivisor<B>>, // [t-cs divisor, b-cs divisor]
domain_offset: B,
trace_length: usize,
#[cfg(debug_assertions)]
t_evaluations: Vec<Vec<B>>,
#[cfg(debug_assertions)]
t_expected_degrees: Vec<usize>,
}

evaluations[step_i][0]  += sum_{j}(evaluation[j] * (coefficients.0 + coefficients.1 * xp) // The divisor is identical.
evaluations[step_i][j]  += (evframe.cur().state[register] - value) * (coefficients.0 + coefficients.1 * xp) // for single assertion
evaluations[step_i][j]  += (evframe.cur().state[register] - polynom::eval(&self.poly, x * self.x_offset)) * (coefficients.0 + coefficients.1 * xp) // for multiassertion // for multi-assertion
evaluations[step_i][j]  += (evframe.cur().state[register] - self.values[values_index]) * (coefficients.0 + coefficients.1 * xp) // for multiassertion // for multi-assertion large poly 5. Commitment to Evaluate CS 5.1 Establish Constraints Composition Polynomial 5.2 Commitment to Composition Poly Example: Compose_poly = a * x^3 + b * x^2 + c * x + d = (a * x^2 + c) * x^ + (b * x^2 + d) (a * x^2 + c) and (b *x^2 +d) correspond to two columns, respectively. 6. Establish DEEP Composition Polynomial The general formal: f(x) = q(x)* t(x) Need check at random z f(z) = q(z) * t(z) f(x),q(x),t(x) indeed equal respectively f(z), q(z), t(z) calculate Deep_composition = (q(x) - q(z)) / (x - z) Check LDT for q_q(x) 6.1 Select z which out of Domain(ood) Draw an out-of-domain point z. Depending on the type of E, the point is drawn either from the base field or from an extension field defined by E. The purpose of sampling from the extension field here (instead of the base field) is to increase security 6.2 Evaluate Trace and Constraint Polynomials at the OOD Point z 6.2.1 trace_poly at z & z * g ood_frame = {cur: [trace_poly_0(z), trace_poly_1(z)], next: [trace_poly_0(z * g), trace_poly_1(z * g)]} 6.2.2 Composition Poly at z iter!(self.columns).map(|p| polynom::eval(p, z^m)).collect() // m is the column num of the composition poly 6.3 Establish Deep Composition Polynomial 6.3.1 Generate Random Numbers pub struct DeepCompositionCoefficients<E: FieldElement> {
    /// Trace polynomial composition coefficients $\alpha_i$, $\beta_i$, and $\gamma_i$.
    pub trace: Vec<(E, E, E)>,
    /// Constraint column polynomial composition coefficients $\delta_j$.
    pub constraints: Vec<E>,
    /// Degree adjustment composition coefficients $\lambda$ and $\mu$.
    pub degree: (E, E),
} 6.3.2 Cal Quotient Poly => for trace polynomial

T`(x) = alpha * (T(x) - T(z)) // degree = trace.length - 1
T``(x) = beta * (T(x) - T(z * g))
T```(x) = gamma * (T(x) - T(z_conjugate))

merge_trace_composition_poly = T(x) / (x - z) + T``(x) / (x - z * g) + T```(x) / (x - z_conjugate)

Degree = trace.lengh - 2

=> for composition polynomial

compute H'_i(x) = (H_i(x) - H_i(z^m)) / (x - z^m)
sum(H`_i(x) * cc_i)

Deep_composition_polynomial = merge_trace_composition_poly  + sum(H`_i(x) * cc_i)
Degree = trace.length - 2

=> Deep_composition_polynomial degree adjustment

Deep_composition_polynomial = Deep_composition_polynomial * (cc_0 + x * cc_1)
Degree = trace.length – 1 6.4 Evaluate Deep over LDE deep_evaluations<lde_domain_size> = deep_composition_poly.evaluate(&domain); 7. Calculate the FRI Layer num of Deep trace.length() =  fold_factor ^ Layer_num + remainder_size;
fold_factor = {4, 8, 16}
remainder_size < remainder_max_size == 256 8. Determine Positions of the Query Select multiple positions of the query from lde_domain. fold_position = source_position % (fold_domain)
fold_domain = source_domain / fold_factor 9. Establish Proof Objects 9.1 Generate FRI proof pub struct FriProof {
    layers: Vec<FriProofLayer>,
    remainder: Vec<u8>, // last poly <all coefficients>
    num_partitions: u8, // stored as power of 2
}
pub struct FriProofLayer {
    values: Vec<u8>,
    paths: Vec<u8>,
} 9.2 Query Trace Poly at Above Positions Similar to the above Queries::new(trace_proof, trace_states) 9.3 Query Constraint Poly at Above Positions Similar to the above Queries::new(merkle_proof, evaluations) 9.4 Establish the STARK Proof StarkProof {
            context: self.context,
            commitments: self.commitments,
            ood_frame: self.ood_frame,
            trace_queries,
            constraint_queries,
            fri_proof,
            pow_nonce: self.pow_nonce,
} Step3 - Verify the Proof Read pub-info from the transcript to obtain relevant data, and then to execute the verification process. 1. Ood Consistency Check Verify the consistency of the mathematical relationship described in Chapter 5.2 => for Boundary

    b(z) = q_b(x) * b_divisor(z)

=> for composition poly

    t(z) = q_z(x) * t_divisor(z) 2. Instantiate the FRI-Verifier Object pub struct FriVerifier<B, E, C, H>
where
    B: StarkField,
    E: FieldElement<BaseField = B>,
    C: VerifierChannel<E, Hasher = H>,
    H: ElementHasher<BaseField = B>,
{
    max_poly_degree: usize,
    domain_size: usize,
    domain_generator: B,
    layer_commitments: Vec<H::Digest>, //flod_poly commitment
    layer_alphas: Vec<E>, // random numbers
    options: FriOptions,
    num_partitions: usize,
    _channel: PhantomData<C>,
} 3. Calculate Deep Poly on Query Positions The calculating method is the same as that in Chapter 6.4 4. Execute the FRI VERIFY process

Oh Just a Stark Technical Analysis

Oh, solo un análisis técnico rígido

Oh juste une analyse technique Stark

ओह जस्ट ए स्टार्क तकनीकी विश्लेषण

ああ、ただの厳しいテクニカル分析

Oh, apenas uma análise técnica rígida

Oh Chỉ là một phân tích kỹ thuật Stark

哦，只是一个鲜明的技术分析

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