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#Blockchain, #Ed-Tech All projects

Quantor: Algorithmic Investment Marketplace

The marketplace of investment algorithms and educational solutions for cryptocurrency and traditional financial markets

stage Ended crowdsale

3.6 Rating

by 5 users


    KPLs

    • Employees11

    Team

    5
    man Serge Bolshakov

    Strategic management and business development, finance and investment

    Entrepreneur and manager with 20 years of business experience, including startups, and work in the field
    of investment and finance, including asset management experience of more than $ 50 million. Serge
    has higher education in physics and economics, as well as professional qualification in the financial and
    strategic management field.

    man Vlad Buchnev

    COO

    Vlad is a founder of Consentus Capital Management, Inc. The company was registered with the Commodity
    Futures Trading Commission (CFTC) as a Commodity Trading Adviser (CTA) in the US. Vlad was responsible
    for the trading within separately managed accounts. He was also actively involved in the development of
    algorithmic trading strategies that used in managed accounts services.

    man Aden Aliakberov

    PR and marketing, bounty campaign

    Aden is a student at the Faculty of International & European Studies at King’s College London, he actively
    participates in the public life of the University and the Conservative Party of Great Britain. He has an
    extensive experience in PR and marketing, including participation in successful political campaigns at the
    University and the Westminster constituency.

    man Klim Yadrintsev

    Marketing, trading and interaction with exchanges

    Graduate of Brighton College (UK). Certified trader in the stock and derivatives markets. Student at
    University of London Economics. An expert enthusiast with a great understanding of marketing and
    human behavior.

    man Maxim Bolshakov

    Programming, trading infrastructure and testing

    Student of the Department of Statistics, specialty Data Science at the University of Warwick (Great Britain) with
    extensive experience and programming skills, including development of trading algorithms and testing systems.


    Advisors

    6
    man Ernest Chan

    Adviser

    Dr. Ernest P. Chan is the Managing Member of QTS Capital Management, LLC. His career since 1994 has
    been focusing on the development of statistical models and advanced computer algorithms to
    find patterns and trends in large quantities of data. He has applied his expertise in statistical pattern
    recognition to projects ranging from textual retrieval at IBM Research, mining customer relationship data
    at Morgan Stanley, and statistical arbitrage trading strategy research at Credit Suisse, Mapleridge Capital
    Management, and other hedge funds.

    man Haksun Li

    Adviser

    Dr. Haksun Li is a founder and the CEO of NM LTD., an algorithmic trading research and mathematical
    modeling consulting company. He was a quantitative trader/quantitative analyst with multiple investment
    banks. Haksun has worked in New York, London, Tokyo, Singapore and Hong Kong. Dr. Haksun Li is the
    Vice Dean of the Big Data Finance and Investment Institute of Fudan University, China. He has a B.S. and
    M.S. in Pure and Financial Mathematics from the University of Chicago, an M.S. and a Phd. in Computer
    Science & Engineering from the University of Michigan, Ann Arbor.

    man Mike van Rossum

    Adviser

    Blockchain and crypto developer with a decade of broad experience in IT (OS, networking, operations).
    Mike is working on developing blockchain and trading systems. In his spare time he is focused on open
    source projects, like Gekko: A cryptocurrency trading bot and backtesting platform. Mike is currently
    working on "Easy Trading Connect" for ING while also doing work for Bitwala - a Berlin based Bitcoin
    startup (both on a remote basis).

    man Anastasia Everskova

    Legal support of the project

    Private practice (IP, IT and LegalTech).
    Education: International Law Institute, Moscow (2009), she has an economic and law backgrounds, strong
    experience in supporting international clients’ services (GroupM, Dentsu/Aegis, IPG, a global media
    investment management groups); worked with offshore/onshore jurisdictions (Cyprus, Singapore, BVI,
    Gibraltar, Isle of Man) and supported some other ICO projects.

    man Joseph Wang

    Adviser

    Chief Science Officer at Bitquant Research Laboratories. Almost a decade of experience in developing C
    ++ quantitative finance libraries. A decade and half of working experience in developing a wide variety of
    commercial software. Over two decades of working experience developing scientific and
    academic software. Experience includes high performance grid computing, complex numerical
    supercomputing code, database programming, machine learning, and other systems. Developing
    quantitative finance models to model Chinese securities markets and the global bitcoin markets.




    Crowdsale details

    Distribution of tokens
    • Crowdsale (69%)
    • Team and founders (23%)
    • Experts, consultants and partners (6%)
    • Bounty campaign (2%)
    Budget allocation
    • Platform development (31%)
    • Marketing (42%)
    • Team and founders (11%)
    • Payroll fund (10%)
    • Unexpected expenses (6%)
    Details Indicators
    Token Symbol QNT
    Full Token Name QNT token
    Pre-crowdsale Start May 14th, 00:00 GMT+03:00
    Pre-crowdsale End Hard cap is reached or July 31st, 00:00 GMT+03:00
    Pre-crowdsale Hard Cap Fixed, $755000
    Pre-crowdsale Soft Cap Yes, $195000
    Crowdsale Start September 1st, 00:00 GMT+03:00
    Crowdsale End Hard cap is reached or November 30th, 00:00 GMT+03:00
    Crowdsale Hard Cap Fixed, $12800000
    Crowdsale Soft Cap Yes, $2500000
    Domain registration date 2016-03-18
    Domain owner Domain Admin, Privacy Protect, LLC (PrivacyProtect.org), 10 Corporate Drive, Burlington, MA, UNITED STATES

    Cost of the token

    1 token for 0.01 $

    Price without discounts

    Bonuses

    Token Price for Pre-Sale Round 1:
    1 QNT = 0.0065 USD

    Token Price for Pre-Sale Round 2:
    1 QNT = 0.008 USD

    Token Price for Main Token Sale:
    1 QNT = 0.01 USD


    Accepted currency

    • Ethereum


    Rate the project

    Estimate the project on a five-point scale or switch to the simple scale

    Five-point scale Simple scale

    Relevance of the problem and Market size

    1 2 3 4 5

    Product competitiveness

    1 2 3 4 5

    Founders, Team & Advisors

    1 2 3 4 5

    Budget allocation and roadmap

    1 2 3 4 5

    Token economy, Tokenization & Business model

    1 2 3 4 5

    Distribution & Lock up of tokens, Discounts for early buyers

    1 2 3 4 5

    Summary rate the project

    1 2 3 4 5

    Rate the project by other users

    5
    Alexandr Gonchar July 12, 2018
    Rating of project
    4.3

    Advantages

    An interesting project that represents a market of investment algorithms and educational solutions for cryptocurrencies and traditional financial markets. The effectiveness of the platform is achieved through continuous professional training of algorithmic traders, provide them with educational information technology, financial engineering and algorithmic trading from well-known experts. Transparency of the ecosystem is achieved through blockchain technology. Records of the efficiency of trading algorithms, statistics of all stages of development of trading algorithms and professional experience of developers are stored in the blockchain.

    Risks and disadvantages

    High competition in this segment of the market can be called as a drawback of the project; also a relatively weak ecosystem of cryptocurrency traders, as a class that exists only a few years and hasn't become so popular as traditional traders of stock and currency markets.

    Comments

    Despite the fact that the services provided by this start-up are quite common in the cryptocurrency market, this company applies many innovative solutions that highlight it among similar start-ups and I think that under certain circumstances this project will become successful and popular among a large number of cryptocurrency traders.

    Sofia Medda May 09, 2018
    Rating of project
    3.3

    Advantages

    The platform will be useful for investors and traders. The direct access to exchanges will be provided. Quantor will create analytical tools based on AI.

    Risks and disadvantages

    The educational Quantor platform already provides access to online courses, but there is no information how popular it is now, if the students became successful. The team`s share of tokens is not frozen (23%).

    Comments

    The team supposes that their methods will reveal the hidden risks of investment strategies and the signs of the manager`s incompetence. That it will allow to assess the risk of trading algorithms. "The goal of the platform is integration, testing, and verification of developed trading algorithms". But as I can see little has been done untill now.

    Jordan Semanda May 07, 2018
    Rating of project
    3.2

    Advantages

    The cost of the QNT token is quite affordable and this shall contribute to the success of the crowd funding. Issuing of bonuties is a good move to create awareness to the potential investors. With the partners attached to the project it has high chances of establishing a stable financial ground for itself.

    Risks and disadvantages

    The tokens value is limited to one cryptocurrency because the token entirely depends of the digital currency being used this is not a good strategy because the current market is very volatile and full uncertainty.

    Comments

    The business module will yield promising results if the required specifics are look at critically and achieved

    Anne Bryn May 05, 2018
    Rating of project
    3.7

    Advantages

    The project offers new solutions for investors: data analysis,
    systematic methods in investing, quantitative investment strategies, and also traditional ways like learning and education.

    Risks and disadvantages

    The project has been developed since March 2016 and I would like to know if the methods of analysis and new approach of developing trading algorithms were tested. If they were, investors should know the results of the tests. Or maybe there are some testimonies that these solutions will be effective. It would be a useful information as well.

    Comments

    This project is very innovative. But in this case I would like to see more testimonies. To understand better that the developing methods will be really effective.

    William Anderson May 03, 2018
    Rating of project
    3.5

    Advantages

    The number of social media pages that quantor has will be of value in terms of effective communication from both ends. The bounty program will surely let many people know about the project. The team holds a fairly big enough share of the tokens, this is a clear indicator that they are committed to the projects development. It is also well documented and easy for one to read through the documents with ease.

    Risks and disadvantages

    The project has taken a long time in the production pipeline according to the road map this simply means the team is poor at delivery of tasks or is not certain of its capabilities and therefore will also not be able to deliver as promised.

    Comments

    Quantor provides services to a variety of investors on traditional and crypto markets. The platform will have cooperation with brokerage companies and financial asset managers, which defines its potential market and with these accurate strategies it will capture a vast market share from its corporations.


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