Platform fintech multifungsi untuk cryptotrading otomatis, manajemen aset dan pembuatan dApps.

Used this time I will explain about HyperQuant
what is HyperQuant?
HyperQuant Blockchain is a platform for automated investment. With HyperQuant. For investors, big investors, to capital managers. HyperQuant is a platform that works to produce highly effective financial services. This platform provides new opportunities for device and trade developers by providing functions supported by technology and management. HyperQuant implements how smart contracts are realized. The HyperQuant system provides solutions for the manufacture and development of trade solutions. 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.
HOW TO WORK HyperQuant?
HyperQuant's business model is based on an innovative approach that determines what's important and necessary for users. The concept of this business model is based on the high price, determining the method to get the price and ensure from the competitors. HyperQuant ecosystem creates an architecture that makes it possible to turn technology into actual Economic Value. Services created in the HyperQuant ecosystem have great potential for growth.

HyperQuant uses trading robots to handle operations in financial markets with a set of algorithms. Trading with the help of an algorithmic system has several advantages: to make decisions at maximum speed and to process needs at speeds that are not available to humans, automatically
the accuracy of the message to allow entry to issues with Market demand settings.
Trading robots work precisely with established algorithms and used for operations. Cryptocurrency traders and token ownership are susceptible to feeds that cause irrational results. Trade strategies apply in any market, with anything and anytime. Algorithms are carefully typed and do not have wrong measurements due to uncertainty, responsibility, fear, and dissatisfaction. The basis of the algorithm is in the class division of strategy.

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.

Based on the above strategy, HyperQuant makes a strategy with Si Technologies Algorithm. Si Technologies Algorithm Strategy from HyperQuant is as follows:

Smart order execution strategy
This strategy class is based on work with orderbook. HyperQuant software allows to create strategies according to specific tasks.
It is not possible to execute an order with the same price

HyperQuant philosophy.

Quantitative hedge finances are very similar to private golf equipment, which requires a high monetary stage to break into. There is a major cause of such exclusivity. Contrary to a normal budget - the quant continues to try to achieve market neutrality with a portfolio of approaches, thereby reducing the effects of the dynamics of market movements. This allows investors now to not worry about black swans and long-term investment risks.

Our philosophy is shaped around the departure from market risk by fostering a form of correct threat control, balancing techniques and extensive diversification use. That's why HyperQuant uses AI no longer just to predict the market but to make a first-class investment alternative to a comprehensive type. The middle part of our platform is the neural community - the mechanism of sustainable learning scores. The relentless development comes with the growth of platforms and booms in the latter factors ending in statistical growth gained through the neural community. This, in turn, makes the nerve tissue retrain extra green. It's also possible to quickly adjust the newly introduced elements in the system.

How it works.

Complex score engines are a great way to upgrade the financial platform. Ranking is the instrument's potential in a positive time period that relies on a mixture of quantitative and qualitative properties, expressed in the last digital sign. Ratings can be calculated with the help of different statistical techniques. In sector economic machines, the ratings consist of independent rating business - Moody's, Standard and Poor's in addition to Fitch Ratings. They are used to compare solvency credit scores from business firms. By using such a score, the ability of an investor can recognize whether he or she can afford the company's responsibility and a reliable means of investment.

AI forms motion values primarily based on its own analysis engine. This can be proven to the user by using a picture that can be understood. Separation of investments using a variety of standards, simple strategies, opportunities-profitability.

HyperQuant offers an interface to receive and unify facts collected from all cryptocurrency exchanges.
In addition, the demand switch protocol, developed with the help of HyperQuant (HQ-FOT protocol - partner of the FIX / FAST protocol), allows to speed up the transfer of orders within the trading structure up to 10 times.
The HyperQuant platform automatically balances and enters order data on crypto exchanges for this reason to stabilize them.
Strategies used to improve alternate positions repeatedly without unexpected cost costs.
With these operations, the platform offers HyperQuant with a major load, allowing different AIs to use the best features - shifting indicators that benefit these people.
AI-based cutting-edge technology is truly evolving and evolving today. This will be the next "Big Thing", a new trillion dollar company. But here at HyperQuant we not only develop some different or better, we are building a great platform.