CRYPTICS - world's first public crypto analytics based on AI




  • A rapid development in the cryptocurrency sector of economy within the
    last couple of years has opened a large number of opportunities. It did not
    only led to a new reliable and independent ecosystem of money transfers,
    but also provided ecient and creative alternatives to the classical methods
    of economics. For example, initial coin o erings (ICOs) that appeared just
    several months ago is now a brand new and successful way of funding, which
    makes starting a real world business from a breakthrough idea more easy
    than it ever was before.
    The cryptocurrency market continues to grow without showing almost
    any signs of a slowdown, and when it faces obstacles it immediately nds
    new ways to overcome them. The reasons for that come from popularity
    of the new market, and the fact that the community it represent is highly
    diversi ed in terms of skills and ideas. Unfortunately this market is still not
    very ecient, and huge jumps in prices can occur in very short periods of
    time. For this reason, the newcomers may be hesitant to join the market as
    they rather prefer to avoid such risks. This is however vital to the growth of
    this sector. For example, the more stable the market is, the more people are
    attracted to use it as means to invest their money into the projects that seek
    for the crowdfunding via ICOs. The world has seen quite some successful
    companies which were initiated through the crowdfunding and now their
    services are appreciated by a lot of people all over the globe. This is especially
    important nowadays when old methods, such as quantitative easing and at
    monetary policies, are not as ecient in helping the growth of the worldwide
    economy. On the other hand, if the market is more ecient, it means that
    ICOs can priced more fair, which further helps analyzing their success and
    will later lead to easier assessment of which projects to support. For this
    reason, at CRYPTICS we believe that stabilization of the cryptocurrency
    markets and making them more ecient will attract more people, which is
    to the mutual bene t.
    One way to tackle the problem of the market eciency is to provide a
    support for those market participants, who take the risk of drastic changes
    on the market and provide liquidity on exchanges and a safety cushion for
    the retail investors. We believe in the power of diversi cation and healthy
    competition, so we envision a platform where such traders can provide their
    services and evolve in order to solve the market stability problem together.
    It takes however a high level of speci c knowledge and years of experience
    in order to get a good understanding of the trends in any new markets, so
    quali ed specialists in the cryptocurrency trading eld only start to appear,
    their approach is often somewhat scattered and can be more systematic,

    which makes it challenging for them to form reliable predictions. We at
    CRYPTICS plan to help with this by advancing a forecast algorithm that can
    be further used in trading cryptocurrencies.

    Concept

    CRYPTICS is dedicated to provide connections between investors (retail and
    professional), traders and the academic community. The concept is depicted
    on Fig. 1, and is outlined below.

    Figure 1: CRYPTICS concept visualization.

     As a rst step we nalize the CRYPTICS algorithm that is focused
    on predicting changes in prices of cryptocurrencies (including the ICO
    tokens) both with respect to the at currencies and to each other.
    Due to the fact that cryptocurrency markets are very new, the factors
    that drive the prices are coming from very di erent sources, so the
    algorithm uses method of Arti cial Intelligence (AI) such as Machine
    Learning (ML), and speci cally Deep Learning (DL), in order to com-
    bine quantitative (e.g. prices) and non-quantitative (e.g. news) data
    to come with a stable and reliable prediction. The collection of data

    and its processing occurs is done real-time, and leads to predictions
    time horizons ranging from minutes to days. This predictions can be
    used by any customer of the CRYPTICS platform either for private pur-
    poses (personal investments), or to build a trading strategy and create
    a small fund on this platform.
     At CRYPTICS we plan to cover the gap between the knowledge and cap-
    ital by providing traders with an opportunity to run their strategies on
    the CRYPTICS platform. To their bene t will be the exchange connec-
    tivity infrastructure (including fast and stable lines), easier access to
    the forecast results (so they can be used in their trading strategies),
    and access to the capital of our customers. Namely, as a customer you
    can both buy a forecast to make your personal investment in a par-
    ticular cryptocurrency, and invest in a diversi ed strategy developed
    by one of the traders. This trader will hence build his own private
    fund, and act as a fund and portfolio manager for those who supported
    him with their capital. At CRYPTICS we highly welcome any kinds
    of investment strategies: their pro tabilities and risk pro les (Sharpe
    ratio, drawdown, tail risk etc.) will be outlined for the customers to
    choose from. Yet, since we particularly value stability of markets and
    believe that liquidity provision is vital for that, the strategies that have
    this focus will get bene ts from our side. Our customers will have a
    pleasure to enjoy this as a recommendation system: once they have
    started investing in some strategies, they will be provided with advices
    on which new strategies seem to t their risk pro le.
     In CRYPTICS we believe that it is important to relate to the academic
    community, by connecting the breakthrough research with the practical
    considerations. In particular, we plan to organize contests dedicated
    to solve AI and data problems appearing when advancing our forecast
    algorithm, trading platform and in the overall cryptocurrency sector of
    the economy. Those contests o er monetary prizes for the best solu-
    tions, and will entail both closed and open-source results.
    3 Motivation
    The introduction section outlined main factors in the motivation for the need
    to create CRYPTICS . Let us now go over the most important ones of them
    in a greater detail:
     Rapid development rates of the cryptocurrency market. In just a few
    years it has grown thousands times and its capitalization for today is

    more than 140 billion dollars. One can see from the historical data how
    the capitalization of Bitcoin market has grown (see Fig. 2) and how the
    price of one Bitcoin has increased (see Fig. 3).


    Bitcoin market capitalization trend.

    Bitcoin market price trend.
     Increase in the number of miners, cryptocurrency traders and other
    market participants. The current number of unique active users of

    cryptocurrency wallets is estimated to be between 3 million and 6 mil-
    lion. All of them can bene t from accurate forecasts, reliable analysis
    to generate pro ts and ecient markets.
     High volatility of the market where moves of more than 20 % or more
    per day are not uncommon. This emphasizes the need for more accurate
    forecasts. For comparison: gold volatility is about 1.2 %, whereas for
    major currencies it is from 0.5 % to 1 %. At the same time, high
    volatility also means high potential pro ts and hence an strong interest
    from retail investors. Just in the rst two quarters of 2017 prices of
    Ethereum and Bitcoin in dollars have increased by 3500 % and 165 %
    respectively (see Fig.)

    Figure 4: Performance year-to-date for the top 2 digital currencies versus
    traditional assets.
     Availability of a huge number of data sources for the extensive market
    analysis: the same currency pair can be traded at the same time on a
    multitude of exchanges. The number and the volume of transactions
    is growing fast. For example, a year ago the number of transactions
    with Ethereum was about 50 thousand per day, whereas today it is
    more than 300 thousand (see Fig. 5). The volume of transactions with
    Bitcoin a year ago amounted to about $ 160 million a day, and today
    more $ 1.4 billion a day (see Fig. 6).
     Increase in the number of cryptocurrencies for investment. Today there
    are more than 1000 cryptocurrencies in the world, and the number of
    new cryptocurrencies is growing more than 3 times a year.
     Increase in the number of ICOs as a new way to raise funding. Com-
    paring 2016 versus the rst three quarters of 2017, number of ICOs

    Ethereum transaction trend.

    Transaction volume of Bitcoin in USD per day.
    went up more than 3 times to 154 and the volume invested more than
    20 times to more than $2 billion.
     Strong interest from banks and other major nancial institutions such
    as MasterCard. Bank of Tokyo-Mitsubishi UFJ (the largest bank in
    Japan), the Central Bank of Canada, the People's Bank of China and
    some other central banks have reported an intention to issue their own
    cryptocurrencies in the near future. Even Goldman Sachs received a
    patent for the settlement and clearing system SETLcoin based on their
    own cryptocurrency.
     Absence of a similar analytical platform in the market of cryptocur-
    rencies. Along with the usual services of providing historical data and

    short-term forecasts based exclusively on such data, CRYPTICS o ers
    a number of qualitative di erences and advantages:
    { The forecasts of other platforms are often short-term, and hence
    are used to manage private funds, rather than to provide informa-
    tion to a wider range of users.
    { Other platforms mostly take into account only quantitative mar-
    ket data, while the CRYPTICS platform takes into account data
    from several important sources including social networks, macroe-
    conomic indicators, opinions of leading analysts, etc.
    { CRYPTICS will not only have a leading team of data scientists
    with strong AI skills, but also will provide a platform for con-
    tests where academicians can try tackling practical problems in
    ML and DL within the fast developing and challenging area of
    cryptocurrencies.
    { CRYPTICS will provide its trader customers with an infrastructure
    for the decentralized creation of private funds.

    Platform functionality

    Analysis

    The analytical component of the CRYPTICS platform has the following char-
    acteristics:

    • Key factors will be collected from multiple data sources, and provide an optimal number of quantitative indicators to evaluate the cryptocur- rency selected by a customer.
    • The provided data shown by indices with the probability of in uence on the market and on separately selected cryptocurrencies. In other words, the user gets aggregated data with maximum insights.

    

    • Global indicators, such as total market capitalization, number of cur- rent coins available for bidding, number of active markets, total sales volume and the percentage of market capitalization for selected cryp- tocurrencies, are meaningfully tied to the events and moods of market players: users, traders, investors, miners and developers of cryptocur-rencies. Thus, the system provides the user with not just raw numbers, but the history and meaning of events associated with them
    •  In the user's account, the user will see the results of trading and the eciency of forecasts, as well as what data was used to compile manual,

    semi-automatic and automatic portfolio transactions for the selected period.

    Forecasting
    

    - Sales forecasting charts for the selected cryptocurrency in a convenient
    time frame, taking into account the user's settings for the trading and
    investment strategy (budget, risks, correlation, trading frequency, etc.).

    -The forecast of changes of the main market indicators for the selected
    cryptocurrency is built on the stream of data from the entire market
    and represents a powerful and reliable tool for constructing an indi-
    vidual portfolio of cryptocurrency for trading or investment purposes.
    To distinguish media noise from key events and interpret them in the
    context of changing courses, building reliable forecasts for the interest
    of each CRYPTICS user is one of the main tasks of the project.

     - The quality of forecasting grows with every forecast, transaction, any
    signal on the market and in the community due to the built-in machine
    learning algorithm that collects information and compares it with pre-
    vious forecasts.

    Funds

    - The next step is the possibility for users to create private funds to get
    capital support from investors, and manage these funds or just their
    own portfolio in order to increase pro ts.

    - Each user can publicly open his portfolio, as well as share it with other
    users, while earning a percentage of the pro ts from transactions made
    within this portfolio as a reward.
     Each user will have a set of prede ned portfolios that will automatically
    hold key indicators through analytics and forecasts in real time.

    - CRYPTICS provides its users with an infrastructure for the decentral-
    ized creation of private funds. Management of these funds will be in
    a semi- or automatic mode, taking advantage of all the features of the
    analytical platform, including forecasts built on the AI algorithms of
    the system.

    The mechanism of CRYPTICS token

    Token CRYPTICS (CRP) is released on the basis of Ethereum. The CRP To-
    ken can be purchased when exchanging it for ETH, BTC, WAVES and other
    cryptocurrencies, as well as for USD, EUR and RUB. Any CRP owner can
    exchange it for a forecast for a particular transaction with a cryptocurrency
    or for other services provided by the platform. As an additional functional,
    CRYPTICS plans to make CRP the transaction currency between traders that
    open private funds on CRYPTICS and their investors. Not only this makes
    CRP fairly unique in its functional among other tokens, but also is likely to
    make it one of the most fairly price cryptocurrencies.

    CRYPTICS monetization concept

    CRYPTICS revenue is planned to come from several separate sources which
    are grouped into the following three streams: direct revenue, indirect revenue
    and community-related revenue. Their visualization is provided in Fig. 7, and
    the consequence section contain the detailed description of all three streams.


    Three streams of the CRYPTICS monetization concept

    CRYPTICS direct revenue
    This revenue stream focuses on the core business of CRYPTICS .


    Direct revenue from the platform.



    Architecture

    CRYPTICS platform consists of di erent modules, responsible for prescribed
    tasks (described below), which combined represent the unique product. The
    CRYPTICS model platform is schematically presented in Fig. 12.
    Data collection
    The rst task of CRYPTICS is to collect real-time data that a ect the cryp-
    tocurrency market or contain information about its current and forthcoming
    changes. The main sources of data collection are as follows:
     Cryptocurrency exchanges
     Ocial cryptocurrencies websites
     News portals, forums, related social network accounts and messenger
    groups
     Actions of the best traders and investors

    Data Storage

    The collected and marked data will be stored in the data lake. The task
    here is to organize the repository in such a way as to make it possible to
    repeatedly update information in real time, append features, training and
    tune model. We are going to use here some best in the class database.
    Feature Engineering and Data preprocessing
    The most complicated, and in the same time, the most important part of our
    model. Therefore, CRYPTICS will use a variety of input sources and nancial
    and quantitative models to calculate features and extract features from news.
    This is our know how where we select, extract, clean, transform data into
    features that summarize the information content necessary for pricing, and
    nally create tensor for our model.

    Prediction model

    CRYPTICS model will generate forecasts for di erent time periods based on
    aforementioned numerous sources. The outcome will be a predicted proba-
    bility of the move direction and the expected value of its size, together with
    the accuracy estimates. The comprehensiveness of the input data and the
    predictions is one of the main advantages of using CRYPTICS , in contrast to
    a simple analysis of one or more data sources, or existing information panels.
    On a cold start we can already guarantee the prediction accuracy of 64% one
    day ahead, which we are aiming to improve up until 75% for the hot start.

    Platform visualization

    Here we present prototype interface snapshots of CRYPTICS platform.

    SWOT

    The strong and weak side of CRYPTICS platform are shown in the strength
    weakness opportunities and threats (SWOT) table below.


    Budget

    The preliminary budget allocation is presented in the table below.


    RoadMap

    December 2016

    Idea and research

    • - Development of the Cryptics idea
    • - Research work
    • - Data collection

    Q1-Q2 2017

    Start of the development

    • - Testing the mathematical models
    • - ML&DL testing on collected data
    • - First forecasts
    • - Adding the news and social data sources
    • - Team hiring
    • - AI conception

    Q3-Q4 2017

    ICO

    • - Token and wallet development on Etherium basis
    • - Enlarge the team with experts in ML&DL, UX, Marketing, Business Development
    • - Prepare ICO (Whitepaper, Website, Marketing)
    • - PreICO in Nov. 2017
    • - Hello World for the MvP in Nov. 2017
    • - ICO in Dec. 2017

    2018

    Production

    • - AI development for forecast improvements
    • - Launch portfolio feature
    • - Marketing activities over the world
    • - Attracting AI experts groups on a competitive basis
    • - Cryptics tokens as payment for forecast service

    2019

    Automatization & funds

    • - Full bot's integration for all market transactions
    • - Development of the decentralized funds infrastructure
    • - Automatically portfolio management based on KPI forecast

    Q1-Q2 2020

    Expand

    • - Full version is ready and starting next level of development
    • - Adding more real-time signals from media to increase the speed of forecasts to real world meanings
    • - Over 30 000 transactions per month based on forecasts

    Q3-Q4 2020

    Decentralized funds

    • - Launch of the dezentralized funds managed by Cryptics users
    • - Based on AI forecasts and auto-management
    • - Earning on forecasts, fund infrastructure and marketing for the funds

    Token Production

    Fundraising and release of CRYPTICS tokens is intended to nance the de-
    velopment of the platform, the functionality of the self-learning part of the
    platform based on AI, as well as the development of a decentralized system
    for the collection and updating of data. In addition, part of funds will be
    used for marketing e orts and advertising the project. CRYPTICS tokens will
    be used to pay for any services that the platform has. A total of 82.000.000
    CRYPTICS tokens (CRP) will be provided:

     * 50 million CRP will be sold from presale till ICO
    *  30 million CRP will be reserved for the team, partners and advisors
    *  2 million CRP will be reserved in the fund of company for future and
    used solely for development of CRYPTICS . Frozen Tokens will be grad-
    ually unlocked in the years 3-5 after the token sale

    ICO will be held in two stages:

    *  Pre-sale (30 October 2017). At the Pre-sale stage, 2,000,000 CRP will
    be sold.

    { Soft Cap -$ 300.000 (1.200.000 CRP)
    { Cap - $ 400.000 (1.600.000 CRP)
    { Hard Cap - $ 500.000 (2.000.000 CRP)
    Cost of 1 CRP = $ 0.25= 0,000845 ETH.
    The collected funds will be used to prepare the public launch of the
    CRYPTICS project, marketing and preparing ICO-round.

    *  ICO (09 December 2017). During the ICO will be sold 48.000.000 CRP.
    { Soft Cap -$ 15.000.000 (37.500.000 CRP)
    { Cap - $ 17.100.000 (42.750.000 CRP)
    { Hard Cap - $ 19.200.000 (48.000.000 CRP)
    Cost of 1 CRP = $ 0.40= 0,00135 ETH.
    Collected funds will be used to develop a self-learning platform based
    on arti cial intelligence, global marketing of the project, the creation
    of a sales department and contextual advertising. CRYPTICS will start
    accepting CRP tokens as payment for services in the platform.

    Team
    The CRYPTICS team has more than 5 years of experience in the eld of an-
    alytics and IT technologies, experience in working with Big Data, Analytics
    and ntech technologies, as well as 4 years of machine learning experience.
    General team of the project - 9 people. Key team members:
    Stanislav Maer, CEO. Since 2008, he has created and launched
    a number of online projects, including a contextual advertising
    system, an international marketplace, and an analytical tool for
    webmasters with built-in machine learning. Has experience in
    building IT projects and their introduction to the market in more
    than 45 countries around the world. Has more than 5 years of
    experience in online marketing and data analytics in retail. After
    that, several online stores were launched. Interest in blockchain
    and cryptocurrency technologies arose in 2013. Has experience
    in applying technologies in retail and accounting, as well as in
    mining. In 2016, sold the portfolio of online stores, and focused
    on the CRYPTICS project
    Oleg Tereshchenko, CEO: Businessman. Since 2011, he has
    created and launched a number of online projects, among them
    a task manager, an analytical tool for webmasters with built-in
    machine learning, and a telemedicine project. Management, op-
    timization and construction of business processes using IT tech-
    nology and data analysis led to the eld of machine learning and
    smart contracts. Interest and study with practical experience of
    cryptocurrencies arose in 2012. In 2016 he focused on the CRYP-
    TICS project. .
    Maxim Maslennikov, CTO. Technical Director. Programming
    and managing commercial projects based on C/C++ and Python.
    Machine learning & deep learning specialist. For more than 15
    years he has been engaged in the architecture of system centers,
    for 20 years he advised corporations in the eld of machine
    learning and IT systems. He participated in numerous projects
    in the eld of arti cial intelligence.
    20
    Ilya Tkachev, Head of R&D. Mathematician and Quant Trader.
    Since 2008 was trading personally on conventional exchanges, from
    2014 professionally, as a member of the top market maker com-
    pany. Believes that open and ecient markets with a multitude of
    players provide bene ts for the overall economy and help avoiding
    too rigid regulation, which is now vital especially for the cryp-
    toeconomy. Holds M.Sc. in Financial Mathematics and nishes a
    PhD in Probability and Statistics. During the course of his PhD
    successfully participated and led numerous research projects with
    applications in Economics, Systems Biology and Robotics.
    Yaroslav Khomenko, Data Scientist. Since 2015 - data analyst
    in several large online projects in the eld of retail and analyt-
    ics. Worked with Adobe Analytics, Google Data Studio, Watson
    Analytics, Microsoft Power BI, Tableau. Data collection via web
    scraping, used numerous APIs. Experience in programming and
    managing automated betting systems in contextual advertising.
    Analysis and management of price strategies, development of au-
    tomatic strategies for managing the price portfolio. Programming
    on R and Machine Learning in Python. Since early 2017 - data
    scientist in the project CRYPTICS .
    Andrew Bern - Investor-analyst, asset manager in the market
    of crypto-currencies. Has extensive experience in the ICO eld,
    invested in many successful projects. Thanks to the accumulated
    knowledge, he determines with high accuracy the perspective of
    projects on blockchain and cryptocurrency technologies. Since
    2016, he has also begun to promote and advertise projects at the
    ICO stage, and thanks to the experience of a successful investor,
    he carries out no less successful advertising campaigns. He par-
    ticipated in the launch of the ICO and the successful launch of
    many projects on the market. 2017 was invited to participate in
    the promotion and advertising of the CRYPTICS project.

    Team

    The CRYPTICS team has more than 5 years of experience in the eld of an-
    alytics and IT technologies, experience in working with Big Data, Analytics
    and ntech technologies, as well as 4 years of machine learning experience.
    General team of the project - 9 people. Key team members:

    Stanislav Maer, CEO. Since 2008, he has created and launched
    a number of online projects, including a contextual advertising
    system, an international marketplace, and an analytical tool for
    webmasters with built-in machine learning. Has experience in
    building IT projects and their introduction to the market in more
    than 45 countries around the world. Has more than 5 years of
    experience in online marketing and data analytics in retail. After
    that, several online stores were launched. Interest in blockchain
    and cryptocurrency technologies arose in 2013. Has experience
    in applying technologies in retail and accounting, as well as in
    mining. In 2016, sold the portfolio of online stores, and focused
    on the CRYPTICS project

    Oleg Tereshchenko, CEO: Businessman. Since 2011, he has
    created and launched a number of online projects, among them
    a task manager, an analytical tool for webmasters with built-in
    machine learning, and a telemedicine project. Management, op-
    timization and construction of business processes using IT tech-
    nology and data analysis led to the eld of machine learning and
    smart contracts. Interest and study with practical experience of
    cryptocurrencies arose in 2012. In 2016 he focused on the CRYP-
    TICS project.

    Maxim Maslennikov, CTO. Technical Director. Programming
    and managing commercial projects based on C/C++ and Python.
    Machine learning & deep learning specialist. For more than 15
    years he has been engaged in the architecture of system centers,
    for 20 years he advised corporations in the eld of machine
    learning and IT systems. He participated in numerous projects
    in the eld of arti cial intelligence.

    Ilya Tkachev, Head of R&D. Mathematician and Quant Trader.
    Since 2008 was trading personally on conventional exchanges, from
    2014 professionally, as a member of the top market maker com-
    pany. Believes that open and ecient markets with a multitude of
    players provide bene ts for the overall economy and help avoiding
    too rigid regulation, which is now vital especially for the cryp-
    toeconomy. Holds M.Sc. in Financial Mathematics and nishes a
    PhD in Probability and Statistics. During the course of his PhD
    successfully participated and led numerous research projects with
    applications in Economics, Systems Biology and Robotics.

    Yaroslav Khomenko, Data Scientist. Since 2015 - data analyst
    in several large online projects in the eld of retail and analyt-
    ics. Worked with Adobe Analytics, Google Data Studio, Watson
    Analytics, Microsoft Power BI, Tableau. Data collection via web
    scraping, used numerous APIs. Experience in programming and
    managing automated betting systems in contextual advertising.
    Analysis and management of price strategies, development of au-
    tomatic strategies for managing the price portfolio. Programming
    on R and Machine Learning in Python. Since early 2017 - data
    scientist in the project CRYPTICS .

    Andrew Bern - Investor-analyst, asset manager in the market
    of crypto-currencies. Has extensive experience in the ICO eld,
    invested in many successful projects. Thanks to the accumulated
    knowledge, he determines with high accuracy the perspective of
    projects on blockchain and cryptocurrency technologies. Since
    2016, he has also begun to promote and advertise projects at the
    ICO stage, and thanks to the experience of a successful investor,
    he carries out no less successful advertising campaigns. He par-
    ticipated in the launch of the ICO and the successful launch of
    many projects on the market. 2017 was invited to participate in
    the promotion and advertising of the CRYPTICS project.

    Alexey Voronetsky - Since 2007 has been creating websites,
    SEO-optimization, Aliate marketing, working with CPA net-
    works and arbitrage trac. There are experience in setting up
    advertising campaigns and end-to-end online analytics. Since 2011
    he works at the International Integrator Company NetCracker
    Technology Corp. He participated as a business analyst, a migra-
    tion analyst in implementation projects for telecommunications
    companies such as NTT DoCoMo, Deutsche Telekom, Macedonian
    Telecom, Claro, Maxis, Andorra Telecom, Telefonica Ecuador. In-
    terest in blockchain and cryptocurrency technologies appeared in
    2015. Since 2016, he has been starting his hand at trading and is
    developing in this direction. Has funds in the Trust Management
    from several investors. Middle 2017 he has joined the CRYPTICS
    team.

    Sergei Holmeckis supports CRYPTICS as consultant and
    advisor in the area of business development and nance. Sergei
    has track record of delivering international projects in the
    telco industry and brings over 8 years of experience in versatile
    analytical roles, management consulting, transformation projects
    and profound experience in the realm of outsourcing and shared
    services.

    Dmitry Shcherbakov, Data Scientist. Scienti c researcher.
    Doctor of natural sciences, recently received the doctoral degree
    in Mathematics (with focus in Numerical Analysis), holds M.
    Sc. degree in Financial Mathematics. Dmitry has participated
    in numerous international research projects with applications in
    Applied Mathematics and Physics. Strong experience in scienti c
    research, tackling complicated analytical and computational
    problems. Dmitry supports CRYPTICS as consultant and advisor.

    Team:






    Bounties

    Bounties in percentage out of 3% of total amount of tokens



    Links:

    Website:https://cryptics.tech/

    Blog:http://cryptics.tech/blog/en/

    Facebook:https://www.facebook.com/crypt...

    Twitter:https://twitter.com/Crypticsup

    Slack:https://cryptics.slack.com/mes...

    Github:https://github.com/CrypticsAI

    Youtube:https://www.youtube.com/channe...



Looks like your connection to Cryptocentral was lost, please wait while we try to reconnect.