HYPERQUANT PLATFORM: blockchain automated investment services

HyperQuant platform is powered by blockchain technology for automated investment that render services to investors, big investors and capital managers. HyperQuant platform works to produce highly effective financial services including new opportunities for device and trade developers by providing functions supported by technology and management. The HyperQuant system implements smart contracts to provides solutions for the manufacture and development of trade solutions also AI role of ranking and intelligence system that allows to manage various platform platforms. The HyperQuant application contains services and solutions for retail and corporate services.

The HyperQuant ecosystem is not only for the much-needed financial right now, but also for global distribution. AI-based advanced technology is growing rapidly and expanding. This is a special HyperQuant between AI, blockchain technology, and users. This allows users to create new products and entities, such as configuring Megabot, automated trading portfolio system. The user creates his portfolio that contains the configuration parameters, the identification number bot, and the data system needed to add the new data into a balanced solution.

CHANNELS

PROCEDURES INVOLVED

A complex rating system is a right way for the development of the financial platform. A rating is the instrument’s potential in a certain period of time depending on the combination of quantitative and qualitative characteristics, expressed in a final digital mark. A rating can be calculated with the help of different statistical methods. In the world financial system the ratings are comprised by independent rating agencies — Moody’s, Standard and Poor’s as well as Fitch Ratings. They are used for evaluating the credit solvency of a company. Using such rating a potential investor can understand whether he/she should purchase the obligations of the firm and how reliable this investment is.

AI forms the investment rating based on its own analysis system. It can be shown to the user with any understandable graphic method. The investment success is analyzed using a wide range of criteria, exceeding the simple methods of risk-profitability evaluation.

In case of a rating mark going down — the neural network has an in-built alert system. If a user is performing risky actions, the trading result lowers or the portfolio element diversification is not high enough — the system displays a warning to the user. Similarly to a traffic light it varies depending on how critical the situation is. In the worst case scenario the system can block any access to the problematic element, thus avoiding the full investment loss.

In addition, a personal AI-based financial advisor will recommend how to configure bots and rebalance the crypto portfolios. Safety is also built in with an automated risk-management system and an easy-to-use visual bot constructor with built-in popular trading indicators making it ideal for investors to start making their own bots.

For developers and quant traders, HyperQuant can offer a professional quantitative framework that has many features including automating back-testing on historical market data, containing hundreds of trading indicators and ready-to-use algorithms. It also has tools to optimize trading strategies after they are launched and includes an open-source unified API protocol for all crypto exchanges.

PRINCIPLES

Trading strategies and models have several classifications, as follows:

=> Trends of Trends Strategy: The main objective of this strategy is to perform operations operations with the aim of maintaining in the longest period of time. Strategy strategy for the success of financial instruments. Medium trend based indicators is the most popular strategy. Indicator is a function based on the values of indicators of statistical exchange, for example, the price of the official instrument. Table of contents and strategies in strategy Preparation of indicators and comparisons that are calculated among themselves with market value.

=> Counter-Trend Strategy: a strategy that reaches the expectations of significant price movements and consequent positions that open up in opposite directions. The assumption is the price will return to the average value. Different strategies for money are the highest prices.

=> Pattern Pattern Introduction: The purpose of this strategy is to classify objects in different categories. Image recognition tasks in a new, recognizable background to a particular class. Protects people who use candlestick patterns. The candlestick pattern is a certain combination of candlesticks. There are many candlestick models and assumptions about price movements that occur or appear on candlestick models. These assumptions are a strategy for the introduction of technical analysis.

=> Arbitrage Strategy: There are different types of Arbitrage strategies: Cross-Market Arbitrage and Statistical Arbitrage.

=> Machine learning strategies: The basis of machine learning is the modeling of historical data and the use of models to estimate future prices. One type of machine learning is classification.

TOKEN SALE DETAILS

HyperQuant issues utility tokens to create an internal economy inside the platform ecosystem. HQ economy leads to transparent and fair relations between all platform users. By issuing HyperQuant (HQT), they offer all users a chance to become creators of a revolutionary platform, enabling them to efficiently manage their capital. Every holder of the HQT Token will get different levels of access and available features of a solutions based on the HyperQuant platform. Level of access and available features of a particular product will be defined by the number of tokens in their possession.

Private sale : May - June, 2018

Public pre-sale : July, 2018

Ticker : HQT

Token type : ERC20

TGE Token Price : 1 HQT = 0.00028 ETH

1 ETH = 3500 HQT

Fundraising Goal : 41, 143 ETH

Total token supply : 320 000 000 HQT

Available for token sale : 45%

Country : Estonia

Accepting : ETH

Whitelist : Yes

KYC : Yes

Lock-up period : Team - 1 year after the Token Generation Event

Advisors - 6 months after the TGE

Bonus - 3 months after the TGE (each months 1/3 is unlocked)

Bonuses for institutional investors will be locked up to 6 months.

Unsold tokens : Frozen for 2 years

THE KNOWLEDGEABLE TEAM

The HyperQuant team consists of 11 team members and 4 advisors.The founding team is made up of quant traders, IT professionals, and market analysts.According to CEO and co-founder Pavel Pavchenko, creating the HyperQuant platform was a direct result of the team’s combined experience. Pavchenko himself has more than 14 years’ experience as a successful trader. He has worked in investment companies as an independent quantitative trader, managed a large hedge fund and even took part in the creation of Russia’s second largest stock exchange.