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Quantitative investments in decentralized economy

Concept

Quantor is an ecosystem that integrates the marketplace of investment solutions and an online learning platform for crypto-currency markets, knowledge and skills of investment industry experts and developers of investment algorithms.

Computer technologies increase reliability and efficiency in the investment industry, reducing the risk of a human factor in making investment decisions.

The main objective of the platform is to create a know-how conveyor for the implementation of profitable and reliable investment algorithms in a decentralized economy.

Technology

Quantor is an ecosystem that integrates the marketplace of investment solutions and an online learning platform for crypto-currency markets, knowledge and skills of investment industry experts and developers of investment algorithms.

Ecosystem Quantor

The Role of Smart Contracts and Blockchain Technology in Trading Algorithms

Blockchain technology makes it possible to consider a trading algorithm in conjunction with smart contract, which allows you to automate the financial processes on the platform.

The Mechanism for using smart contracts

The executable algorithm file is launched in the Docker container on the platform hosting;

The algorithm analyses the data and sends control signals to the stock exchange;

The actual information is reflected in the smart contract, tied to the algorithm;

Issue and Allocation of tokens QNT

Issue of tokens

Sale on the market

Team and founders

Experts, consultants and partners

Bounty campaign

Allocation of collected funds

Platform development

Marketing

Team and founders

Payroll fund

Unexpected expenses

Quantor team

Sergei Bolshakov Serge Bolshakov

Entrepreneur and manager with 20 years of business experience and work in the field of investment and finance, including asset management experience of more than $ 50 mil.

Vladislav Buchnev Vlad Buchnev

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.

Aden Aliakberov Aden Aliakberov

Aden is a student at the Faculty of International & European Studies at King's College London. He has an extensive experience in PR and marketing, including participation in successful political campaigns at the University and the Westminster constituency.

Klim Yadrintsev Klim Yadrintsev

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.

Advisors

Ernest Chan Ernest Chan

Ernest is the Managing Member of QTS Capital Management, LLC. He has been focusing on the development of statistical models and advanced computer algorithms since 1994. Ernest has worked with such companies as IBM, Morgan Stanley, Credit Suisse, Mapleridge Capital Management. Author of well-known books on algorithmic trading.

Haksun Li Haksun Li

Dr. Haksun Li is a founder of NM LTD., an algorithmic trading research and mathematical modeling consulting company. He was a quantitative trader and analyst with multiple investment banks. Dr. Haksun Li is the Vice Dean of the Big Data Finance and Investment Institute of Fudan University.

Mike van Rossum Mike Rossum

Blockchain and crypto developer with a decade of broad experience in IT (OS, networking, operations). Mike is working on developing blockchain and trading systems. He is focused on open source projects, like Gekko: A cryptocurrency trading bot and backtesting platform.

Joseph Wang Joseph Wang

Chief Science Officer at Bitquant Research Laboratories. Great experience in developing C++ quantitative finance libraries, decades of working experience developing scientific and academic software. Developing quantitative finance models to model Chinese securities markets and the global bitcoin markets.

Anastasia Everskova Anastasia Everskova

Private practice (IP, IT and LegalTech). 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. Education: International Law Institute, Moscow (2009),

Experts

Kirill Ilinski Kirill Ilinski

Kirill is a co-founder of Fusion Group. He worked as a deputy-head of exotics analytics at Chase Manhattan Bank and after the merger co-founded Debt-Equity Relative Value Group at JPMorgan. He is the author of the non-equilibrium arbitrage pricing theory which was covered in “Scientific American”

Andrey Degtyaruk Andrey Degtyaruk

Andrey has been involved in commercial products development for more than 8 years. His most experience comes from web development of highly loaded services, including large electronic trading platforms, and also cooperation with fintech companies: Rocket Internet and several IT startups.

Maxim Bouev Maxim Bouev

Maxim is a Doctor of Philosophy in Economics, and a holder of the funded chair in applied finance supported by the JTI group. He has worked in an investment banking division for N.M.Rothschild & Sons, and on the FX quantitative analytics teams for ABN AMRO Bank and the Royal Bank of Scotland in the City of London.

Alexander Klimenko Alexander Klimenko

Major works in the field of systems programming and cybernetics. Professor at the systems integration and management department of the MIPT. He was involved in FX market research and trading strategies development since 1995. Alexander graduated from Moscow Institute of Physics and Technology.

Vasiliy Pimkin Vasiliy Pimkin

Expert and manager with vast experience in blockchain and web product development, business media and publishing.

Publications

Blockchain in Algorithmic Trading

According to the Academy of Information Technology and Engineering (Aite Group), the volume of algorithmic trading in Europe has exceeded 44%. In its turn, in the Asian market, this indicator has reached about 35% in 2016.

Tendencies and trends in global financial industry

By mid-2016, the total amount of assets under management of algorithmic hedge-funds was $880 billion. According to the forecasts of McKinsey & Co, the total amount of assets under management of funds using automated trading systems by 2020 could reach $2.2 trillion...

Quantor participated in a conference of digital financial markets

Many world class experts had participated in this event with topics ranging from scaling of blockhain to future of cryptocurrency.

Quantor approaches to be experts in blockchain at Perm Winter School 2018

Last month blockchain startup Quantor visited Perm Winter School as a place of forward-looking and talented students. This time the conference was dedicated to digital financial markets, financial technologies and risk management.

Video

Roadmap

Formed the first version of the training program from a set of open courses

2016 January

Launch of the beta version of Quantor website

2016 April

Quantor team was extended by experts from the US, UK, Russia

2016 August

Quantor became the finalist of the EdCrunch 2016 Pitch Competition

2016 September

A participant of the First International Conference of Sberbank Corporate University

2016 October

A participant of the pre-accelerated program of the Internet Initiatives Development Fund

2017 April

Concept development of converging blockchain technology with algorithmic trading

2017 July

Now, we are here!

Issuing platform tokens

Q1 - Q2, 2018

Applying for a license in the selected jurisdiction

Q2, 2018

Creating a platform demo version

Q3, 2018

Debugging and setting up the platform during the demo version work

Q4, 2018

The first contest of developing trading algorithms among quants

Q1, 2019

Launch of the first working version of the platform

Q1 - Q2, 2019

Start collecting statistics and data of the first trading algorithms on live trading accounts

Q2 - Q3, 2019

Launch the marketplace of trading algorithms

Q2 - Q3, 2019

First investments in trading algorithms on marketplace

Q3, 2019

Implementing the function of forming portfolios of algorithms

Q3 - Q4, 2019

Applying for licenses in the US and other jurisdictions as required

Q4, 2019

Quantor crypto fund formation

Q4, 2019

Creating a bridge between the investor's fiat capital and the platform

Q1 - Q2, 2020