HyperQuant - An Automated Crypto Trading Platform
Today i just got information from bitcointalk that there is an new inovative and interesting platfrom that collaborated the AI in the platfom. It's named HyperQuant (https://goo.gl/4Jc6yc) and lead by Pavel Pavchenko. This article would be describe about it, so please stay on!
HyperQuant is an intelligent, decentralized platform for secure automated crypto investments based on smart contracts. It makes the investing and trading process simpler and more transparent for all market principals. Risk management is pivotal when trading on the crypto-currency exchanges. The way you approach this vital task determines the lifespan of the utilized trading strategies.
The use of Artificial Intelligence (AI) is the most prospective among the possible solutions. That is why we in HyperQuant heavily focus on revolutionary AI approaches. The combined decision is thus taken based on the results of the studies listed below. Let’s go through the main AI directions and methods that HyperQuant favours.
The use of Artificial Intelligence (AI) is the most prospective among the possible solutions. That is why we in HyperQuant heavily focus on revolutionary AI approaches. The combined decision is thus taken based on the results of the studies listed below. Let’s go through the main AI directions and methods that HyperQuant favours.
How It Works?
A complex score machine is a right manner for the improvement of the financial platform. A rating is the instrument’s potential in a positive period of time relying at the mixture of quantitative and qualitative traits, expressed in a very last digital mark. A rating may be calculated with the help of different statistical techniques. In the sector economic machine the rankings are comprised by way of independent rating businesses — Moody’s, Standard and Poor’s in addition to Fitch Ratings. They are used for comparing the credit score solvency of a business enterprise. Using such score a ability investor can recognize whether he/she can purchase the responsibilities of the firm and the way dependable this investment is.
AI forms the funding score primarily based on its own analysis machine. It can be proven to the user with any comprehensible picture approach. The investment fulfillment is analyzed the use of a huge range of standards, exceeding the simple strategies of chance-profitability assessment.
In case of a rating mark taking place — the neural network has an in-constructed alert machine. If a person is performing unstable movements, the trading result lowers or the portfolio detail diversification isn't always high enough — the system shows a warning to the person. Similarly to a traffic mild it varies depending on how essential the scenario is. In the worst case state of affairs the machine can block any access to the tricky element, for that reason fending off the total investment loss.
AI forms the funding score primarily based on its own analysis machine. It can be proven to the user with any comprehensible picture approach. The investment fulfillment is analyzed the use of a huge range of standards, exceeding the simple strategies of chance-profitability assessment.
In case of a rating mark taking place — the neural network has an in-constructed alert machine. If a person is performing unstable movements, the trading result lowers or the portfolio detail diversification isn't always high enough — the system shows a warning to the person. Similarly to a traffic mild it varies depending on how essential the scenario is. In the worst case state of affairs the machine can block any access to the tricky element, for that reason fending off the total investment loss.
HyperQuant is a smart domestic for AI primarily based prediction systems.
While growing AI structures, aspiring entrepreneurs rarely remember the potential difficulties bobbing up on a actual market, in particular whilst their systems want to be scaled. The algorithmic trading vitally calls for a correctly constructed infrastructure for smooth get entry to to the change structures. This impacts both the speed of receiving facts on line and the routing of the marketplace orders waft to the exchanges.
HyperQuant offers a united interface for receiving and unifying the facts gathered from all cryptocurrency exchanges.
Moreover, the request switch protocol, developed with the aid of HyperQuant (HQ-FOT protocol — the counterpart of FIX/FAST protocols), allows to speed up the transfer of market orders in trade structures by up to 10 times.
HyperQuant platform automatically balances and types out the drift of orders on crypto-exchanges for this reason stabilizing the stress on them.
The applied quoting strategies allow to boost the alternate positions many time over with out causing unexpected charge fluctuations.
With those operations HyperQuant platform deals with the primary activity load, allowing the important AI to consciousness best on its primary feature — shifting the worthwhile indicators to the person.
Cutting-edge AI-based totally technology are swiftly evolving and flourishing nowadays. It goes to be the subsequent “Big Thing”, a new trillion dollar enterprise. But right here at HyperQuant we are not simply developing but some other smart set of rules or a neural community, we are building a massive platform, a future domestic for lots of AI-based structures.
HyperQuant's Algorithm Strategy
HyperQuant created the strategy with Technologies Algorithm. Below is HyperQuant's Technologies Algorithm Strategy:
- AI based Financial Advisor : The majority of investments fail because of incorrect risk management and inadequate control by users. To solve this problem, HyperQuant uses artificial intelligence based on data collected from HyperQuant platform users.
- Smart order execution strategy : This strategy class is based on work with orderbook. The HyperQuant software makes it possible to dynamically cite strategies depending on specific tasks. It is not possible to execute orders at the same price first, all trades will be at the desired price, but gradually the price will become less profitable. To reduce costs, institutional clients need to use the Smart Order execution strategy. The execution of large market orders can be divided into several steps and involves a combination of strategies. Users of the HyperQuant platform will be able to configure specific fields from quotation strategies such as Instrument, Volume, Minimum volume, Maximum volume, Maximum BBO distance, Internal quotation levels, Internal quotation levels, Hedging, Hedging type and Hedging settings.
- Market Making Algorithms : The execution of market-making algorithms leads to a boost of liquidity in trading instruments. This also results in lower volatility of trading instruments. Providing liquidity is essential for the development of the trading industry. The mechanism of liquidity provision is widespread in the largest stock markets such as NYSE, NASDAQ, and CME. Market makers must support two-way quotes in orderbook and adhere to some requirements The minimum quotation period and the volume of all orders are bought and sold according to market maker data.
- Risk Management : Risk management is the process of adopting and meeting complex actions aimed at reducing the likelihood of unfavorable outcomes and minimizing possible losses. Every trading and investment activity poses certain risks. The risk in this case is the possibility of unexpected financial losses in an uncertain environment. Every trader faces market risk ie the possibility of changes in asset prices due to market exchange rate fluctuations. There are other risks that are rarely known to be operational, functional, selective, and liquidity risks.
- Hedging : Hedging can be divided into Selling Hedge and Buying Hedge. Buying Hedge is used when traders plan to buy assets in the future and seek to reduce risks associated with price increases. Selling Hedge is used in the case of a sale in a commodity market to hedge the risk of future price falls, and implies that the seller fixes a fixed price for himself.
- Blockchain based on the Smart Contract Protocol : The HyperQuant team develops an integrated protocol with standard settings for algorithmic strategy portfolios, implemented as smart contracts.
HyperQuant risk management system is a SaaS (Software as a Solution) it controls the risk of financial market transactions
Its strategy of risk management consists of following elements
Internal environment, Objective setting, Identification of potential event, Risk assessment, Reaction to risk, Control procedures, Information and communication, Monitoring
Depending on the investors tolerance they will apply different strategies such as
Conservative strategy, Combined Strategy, aggressive Strategy.
also, it has different risk management strategies for Hedge funding
AI based financial advisor:
Majority of investments fails due to incorrect risk management and lack of control by user
HyperQuant platform provides solution for risk management using Artificial intelligence
AI sets rating to tokenized assets based on different criteria
If the users perform risky actions that may lead to loss, AI system gives warning to user
Token Information
Token : HQT
Platform : Ethereum
Type : ERC20
PreICO
price 1 HQT = 0.00028 ETH
Price in ICO 1 HQT = 0.000285 ETH
BONUS
20% - Private sale 15% - Pre-sale
Tokens for sale 144,000,000
With the technology that applied and the team who create this platform, i believe that the platform is very promising in the future. So please follow below links for more information/update regarding this platform:
Website | Whitepaper | Twitter | Facebook | ANN Thread
Posted by:
Bitcoin Talk username : maniak kemsut
Profile Link : https://bitcointalk.org/index.php?action=profile;u=2132482
Wallet : 0xD1182fe4B8ae5E4D7801f6B851374E3F3A2d6A04
Thank you & love to see you back!
Bitcoin Talk username : maniak kemsut
Profile Link : https://bitcointalk.org/index.php?action=profile;u=2132482
Wallet : 0xD1182fe4B8ae5E4D7801f6B851374E3F3A2d6A04
Thank you & love to see you back!
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