HyperQuant ICO platform overview

During this period of instability and financial turmoil, only reasonable portfolio management can protect capital from high inflation. The modern centralized financial system has some drawbacks, namely the closed structure and the lack of transparency, conceded control over the transfer of funds to management, the dependence of the teams that manage capital, and the limited range of strategies used.  dsdfsdfsdf.png The creation of blockchain technology makes the emergence of new markets where blockchain technology can solve problems from centralized systems. But it also has its own problems, namely the price and the altcoin of the crypto currency are too volatile, most token holders can not manage the risks skillfully, many coins and altcoin are unreliable, and many crypto-currency exchanges with limited liquidity. HyperQuant has prepared a solution to overcome this.

WHAT IS HyperQuant?

HyperQuant Blockchain is a platform for automated investments. With HyperQuant, the investment process becomes more simple and transparent for all market participants – from small investors, large investors to professional capital managers. HyperQuant is a platform designed to create highly efficient decentralized financial services. The platform provides new opportunities for software developers and algorithmic trading, providing a quantitative structure enhanced by advanced risk management technologies and block AI technologies that ensure the stability and reliability of the system. HyperQuant implements a mechanism for implementing intellectual contracts. The HyperQuant system provides utilities for the production and development of algorithmic trading solutions. AI regulates ranking systems and artificial intelligence, which allow you to manage various elements of the platform. The HyperQuant application contains services and solutions for users of the retail and corporate system. Untitleddf.png Today, the HyperQuant ecosystem is not only a necessary financial tool, but also a new place devoted to global distribution. Advanced technologies based on AI are rapidly growing and expanding in recent times.
A unique feature of HyperQuant is the interaction between AI, blockchain technology and users. This allows users to create new products and objects for the platform, such as setting up Megabot, an automated trading system portfolio. The user creates his portfolio containing configuration parameters, identification number bots and other required system data, adding to the value of the newest object in the balanced solution.

HOW TO WORK HyperQuant?

The HyperQuant business model is based on an innovative approach that determines what is important and necessary for users. The concept of this business model is based on the definition of zones with high profit, the definition of methods for obtaining market share and ensuring its protection from competitors. HyperQuant ecosystem creates an architecture that allows you to turn pioneering technology into a real economic value. Services created in the HyperQuant ecosystem have a great potential for growth.
HyperQuant uses trading robots to complete trading operations in financial markets using a set of algorithms. Trading with the help of the algorithmization system has a number of advantages, namely, to make decisions at the maximum speed and complete the task of trading at a pace that  is not available to the person, automatically market data of the process and generate trading signals and the  accuracy of the signal processing trade allows to prevent the error of the market request setting.
Trading robots work strictly in accordance with established algorithms and complete trading operations without emotions and can manage several thousand securities simultaneously. Crypto-currency traders and token owners are vulnerable to emotions that lead to irrational decisions. Trading strategies are applied in any market with any assets and at any time. Algorithms are carefully collected and do not risk taking the wrong decision because of uncertainty, anger, fear and dissatisfaction. The basis of the algorithm is the class division of the strategy.
Trading strategies and models have several classifications, namely:
  1. The “Trend” strategy. The main objective of this strategy is to find advantageous rates for completing trading operations in order to maintain a profitable position for the longest period of time. Strategies follow trends, trying to capture huge fluctuations in financial instruments. A strategy based on trends, based on technical indicators, is the most popular strategy. Technical indicators are functions based on the values ​​of statistical exchange indicators, for example, the price of traded instruments. The rules for opening and closing positions in this strategy are formed by developing indicators and comparative values ​​calculated between each other, as well as market value.
  2. Strategy to combat the trend: a strategy based on the expectations of significant price movements and subsequent positions that open in the opposite direction. It is assumed that the price will return to its average value. The counter-trend strategy is often attractive for trading, because the goal is to buy at the lowest price and sell at the highest price.
  3. The pattern recognition strategy: the goal of this strategy is to classify objects in different categories. Image recognition tasks for the distribution of new, recognizable objects for certain classes. Such strategies use neural networks as the basis for education and are widely used to recognize candle patterns. Candlestick is a special combination of candlesticks. There are many models of candlesticks and assumptions about continuous or reverse price movements that occur on the basis of the appearance of candle patterns. These assumptions represent a strategy based on the introduction of technical analysis.
  4. Arbitration Strategy: There are different types of arbitration strategies: Arbitration in the interbank market and statistical arbitration.
  5. A strategy based on computer training: the basis of machine learning is the modeling of historical data and the use of models to assess future prices. One of the types of machine learning is the classification.
Based on the above strategy, HyperQuant develops a strategy using the Si Technologies algorithm. The strategy of Si Technologies algorithms from HyperQuant is as follows:
  • The strategy for  executing smart  rules This strategy class is based on working with bookbook. HyperQuant software allows you to dynamically refer to strategies depending on specific tasks.  At first it is impossible to execute orders at the same price, all transactions will be at the desired price, but gradually the price will become less profitable. To reduce costs, institutional customers must use the Smart Order execution strategy. The implementation of large market orders can be divided into several stages and includes a combination of strategies. Users of the HyperQuant platform will be able to customize certain fields from the quotation strategies, such as Instrument, Volume, Minimum volume, Maximum volume, Maximum BBO distance, Internal quotes levels, Internal quotes levels, Hedging, Hedging type and Hedging.
  • Algorithms of market realization The   implementation of market algorithms leads to an increase in liquidity in trading instruments. This also leads to a decrease in the volatility of trading instruments. Providing liquidity is important for the development of the trade industry. The liquidity provision mechanism is widely spread on the largest stock markets, such as NYSE, NASDAQ and CME. Market makers should support bidirectional quotes in the order book and adhere to certain requirements. The minimum period of quotations and the volume of all orders are bought and sold in accordance with the data of the market maker.
  • Risk management Risk management   is the process of adopting and implementing complex actions aimed at reducing the likelihood of adverse outcomes and minimizing possible losses. Each trade and investment activity creates certain risks. The risk in this case lies in the possibility of unexpected financial losses in conditions of uncertainty. Each trader faces market risk, that is, with the possibility of changing asset prices due to fluctuations in market exchange rates. There are other risks that are rarely known as operational, functional, selective and liquidity risks.
  • Hedging   hedging can be divided into sale and purchase hedging hedging. Buying a hedge is used when traders plan to buy assets in the future and seek to reduce the risks associated with rising prices. Sale of a hedge is used in the event of a sale on the commodity market to hedge the risk of a price fall in the future and implies that the seller fixes a fixed price for himself.
  • Financial advisors based on AI   Most investments fail because of improper risk management and inadequate control by users. To solve this problem, HyperQuant uses artificial intelligence based on data collected by users of the HyperQuant platform.
  • Blockchain is based on the Smart Contract protocol.  The HyperQuant team develops an integrated protocol with standard settings for the algorithmic strategy portfolio, implemented as a smart contract.

TOKEN HyperQuant

dsfsfdsf.png HyperQuant issues a utility token to create an internal economy in the platform ecosystem. By issuing the HyperQuant token (HQT), HyperQuant offers all users the opportunity to become the creator of a revolutionary platform, allowing them to effectively manage their capital. Each HQT token holder will receive different levels of access to products and solutions on the HyperQuant platform. Access levels and functions available from a particular product will be determined by the number of tokens that they have. The economic value of human efforts is reflected by creating a developer on a platform (for example, a trading robot).  Total number of saved tokens in which the bots are stored:  dgdfg.png Where:

  • L = maximum bot level
  • N (k) = number of k-levels of bots on the current platform
  • hold (k) = the number of tokens required to support a single k-level bot-level
Developers get the advantage of providing data, indicators and signals to the platform. Such an approach to stimulating developers will stimulate the fact that they not only create quality objects, but also change and improve them.
Some measures are taken to reduce the risk when acquiring new platform objects. The user should be fully informed about the properties of the object and the potential risks associated with it. This platform also protects the interests of users by offering a flattened payment system. In other words, it provides full functionality with a limited amount of money, turning it into a classic software demonstration mode.

Therefore, information about HyperQuant, for more information, please follow the link below:

WEB SITE: https://goo.gl/4Jc6yc

TELEGRAM: https://t.me/hyperquant

WHITEPAPER: https://hyperquant.net/en/wp/

ANN THREAD: https://bitcointalk.org/index .php? topic = 2104362.0

FACEBOOK: https://www.facebook.com/hyperquant.net/

TWITTER: https://twitter.com/HyperQuant_net

MEDIUM: https://medium.com/hyperquant

YOUTUBE: https: // www.youtube.com/channel/UCOgRfmQR-GKJlbnF1tRQPgw


URL Bitcointalk: https://bitcointalk.org/index.php?action=profile;u=1234556

About Toni Leon

Author: mampham
ETH: 0xC8C92A22a6BeBC985ABF761b0B483c2bD4e3457F

Leave a Reply