Space DQTN - About

Background

Space - Distributed Quantitative Trading Network

The Space-Distributed Quantitative Trading Network (DQTN) series is a very powerful mathematical quantitative calculation model proposed by Open AI. This series of models can achieve amazing results in very complex AI tasks.

In the late 19th and early 20th centuries, with the advent of telegraphs and telephones, transactions could be conducted more quickly, and brokers could use telegraphs to send trading orders. It was not until the mid-20th century to the early 21st century that it became the era of computerized trading. With the development of computer technology, exchanges gradually adopted electronic trading systems, and traders were gradually replaced by electronic trading systems.

With the improvement of mathematical modeling and computing power, quantitative trading has begun to emerge. Quantitative trading is based on mathematical and statistical models and uses large amounts of historical data to formulate trading strategies. DQTN is currently used in blockchain automated trading. It is driven by technological innovation, including quantum computing, the development of blockchain technology, and more advanced machine learning and artificial intelligence Smart approach.

Highly realistic blockchain automated transactions and distributed network multi-node independent investment strategies will continue to optimize algorithms for DQTN. In the future, the Space series will be used in engineering, physics, computer science, statistics, economics, biology, medicine and other fields.

Digital background with technological elements

Development

Rise of Blockchain Technology: Blockchain technology was first created for Bitcoin, but over time it evolved into a decentralized distributed ledger technology that can be used to record and validate contracts for a variety of transactions, the core features of this technology are decentralization, security and transparency.

Launch of Ethereum: Ethereum is the first blockchain platform to support smart contracts. It was launched in 2015. It allows developers to create various decentralized applications, so DQTN chose the Ethereum ERC20 network to monitor transactions. Data differences between exchanges and exchanges enable automated transactions on the blockchain.

Smart Contract

The concept of smart contract: A smart contract is an automated contract in which the rules and conditions are written in the form of code and executed on the blockchain. This concept was first proposed by computer scientist Nick Szabo. Smart contracts Allows transactions and contracts to be executed without intermediaries.

Smart contract exchange part: DQTN uses Solidity programming language to write automated smart contracts. Contract content: Space DQTN establishes automated smart contracts with multiple exchanges around the world. Space DQTN gives 500 million USDT to 5 billion USDT to different exchanges in the form of pledge. (Depending on the users and trading volume of the exchange) Obtain priority trading rights. The exchange and DQTN will automatically settle every 24 hours. The maximum transaction amount cannot exceed the pledge amount. During settlement, DQTN profits will be automatically sent from USDT to the DQTN currency pool address by the exchange. If DQTN loses money, USDT is automatically sent from the currency pool to the exchange to fill the pledged amount.

Smart Contract User Section: The DQTN smart contract is written in Solidity programming language. It allows users to sign an automated smart contract, which states that after activating the robot, the user can choose a contract duration ranging from 1 hour to 24 hours. The more USDT the user provides, the larger the storage and recording space available, and the longer the working time. However, the maximum duration cannot exceed 24 hours.During the contract execution period, DQTN can use the wallet address as a node to store records and run on Ethereum. Each time the contract stops, it signifies the end of work. DQTN must provide USDT as rent to the user based on their initial contract choice. Users are not allowed to reduce their USDT holdings during the contract execution period as it may cause instability in the distributed storage and computation of DQTN on Ethereum.If users fail to comply with this condition, DQTN has the right to stop running the contract and refuse to provide USDT as rent.

Price differences on different exchanges

This is related to the exchange itself. Different exchanges have differences in activity, trading volume, etc. The difference in trading volume leads to differences in the supply of different platforms, and the difference in exchange activity will inevitably lead to differences in demand. On the supply side and demand side of each platform Where differences exist, the price of the same cryptocurrency will inevitably be different. For example, the trading volume of exchange A is much greater than that of exchange B, and the trading activity is also higher than that of exchange B. Then, under ideal circumstances, the currency price of exchange A is more stable than the currency price of exchange B. Because the price of exchange Bs platform currency may be controlled by large market makers, the price may fluctuate greatly, the risks faced are also high, and the price will naturally be on the high side. Therefore, the price of the same currency on different platforms appears to be different. This is also in line with what is often said in economics: commodity demand and supply determine prices.

Depends on the country where the exchange is located. The legal currency credit and political risks of different countries will affect a country's market sentiment, and market sentiment is directly related to prices. In countries with higher risks such as politics and war, the price of cryptocurrency will be higher. We can see that Bitcoin prices are on the high side on South Korean exchanges, and the country is now facing some war risks. The U.S. economy is stable and its attitude toward cryptocurrency is open, so market prices will not deviate too much. In other words, the lower the political, war and other risks in a country, the more stable the price of cryptocurrency will be. In addition, the lower the credibility of legal currency in a country, the higher the price of cryptocurrency will be, such as Venezuela.

Users in the exchange have free pricing power, which means that whoever sells at a lower price or buys at a higher price will complete the transaction faster. Therefore, when there are enough users, the competition will become very fierce. In order to better cope with this fierce competition, users will generally give priority to bidding and compete within the acceptable profit range. Of course, they will not deviate too much, but Direct purchases from the exchange are generally higher than the market price, and sales are lower than the market price.

Core logic

DQTN as a mathematical quantitative calculation model AI is the first Space series to be shown to the public. It is mainly for the high realization of Distributed Quantitative Trading Network. After real-time monitoring of exchange data and the discovery of data differences, priority trading rights are used to perform safe calculations and make profits without risk. For example, if the price of Bitcoin on exchange A is 30,500 and it is detected that the price of Bitcoin on exchange B is 30,000, then DQTNs independent trading decision will be to sell high and buy low, selling one bitcoin from exchange A and buying one bitcoin from exchange B, and then make a profit of 500 US dollars by closing the position in time with a risk of 0.

Priority trading rights

Commission-free trading model. Everyone knows that on every exchange, the handling fees for each purchase and sale are expensive. Since DQTN signs an automated smart contract with the exchange and uses pledged USDT for settlement every 24 hours, it means that no transaction/transaction fees are charged for the purchase or sale of DQTN on the exchange. Not only is trading free, there are no exit or inactivity fees. Coinless trading, a financial contract based on cryptocurrency. A contract based on time (the beginning is the time to buy or sell, and the end is the time to close the position). DQTN has the right to buy or sell cryptocurrency at the current price without holding the cryptocurrency.

Autonomous decision-making and transaction execution

In the Ethereum distributed network, DQTN formulates trading strategies and decisions by analyzing market data and using complex algorithm models and machine learning technologies. These strategies and decisions are encoded into trading instructions and stored on the blockchain. Once a transaction instruction is formed, DQTN will automatically broadcast the transaction instruction to the entire Ethereum distributed network. At this time, at least 5 DQTNs are required to confirm the validity and executability of the transaction instruction through verification and consensus algorithms. Once consensus is reached, the transaction will be executed and recorded on the blockchain to ensure non-calculable modification and traceability of the transaction.

Algorithmic trading

Or programmed trading, or automatic trading, refers to the use of automated computer programs or the use of artificial intelligence to conduct automated investment and trading behaviors based on preset algorithms. Generally speaking, algorithmic trading refers to people developing programs to automatically operate buying and selling behavior by computers based on technical data and financial ratios of a specified market. DQTN uses blockchain technology to make algorithmic transactions faster and more stable while also being secure.

Quantitative trading

Quantitative trading refers to using advanced mathematical models to replace human subjective judgments, using computer technology to select a variety of "high probability" events that can bring excess returns from huge historical data to formulate strategies. Dadi reduces the impact of investor sentiment fluctuations and avoids making irrational investment decisions in situations of extreme market enthusiasm or pessimism. Currently, DQTN can quantify 40 cryptocurrencies on 30 exchanges at the same time.

Quantification of DQTN

DQTN uses blockchain technology and the characteristics of Ethereum to realize DQTN stored on the blockchain in the distributed network of Ethereum ERC20. A DQTN composed of multiple nodes is born in the distributed network. Any DQTN composed of nodes in the world has the ability to make independent decisions and transactions. They formulate trading strategies by analyzing market data, using complex algorithm models and machine learning technology, and their functional performance strategy algorithms are consistent with the Space DQTN host.

Stability of DQTN

Market conditions can be monitored in real time and quick decisions can be made based on preset rules and algorithms. In contrast, human traders may be affected by emotions, fatigue and other factors and cannot make the same quick and accurate decisions. DQTN is not disturbed by emotions when executing transactions and always executes according to pre-set rules and algorithms. This means it can avoid erroneous judgments and decisions caused by emotions such as fear and greed.

Shared learning and training

Since DQTN is stored in the Ethereum distributed network, each DQTN can share and learn the trading strategies and models of other DQTNs in real time. This allows Space DQTN to obtain the latest trading information and market trends from other DQTNs to optimize its own trading decisions. In this process, Spaces mathematical quantitative calculation model capabilities will be improved.

Distributed storage

DQTN can process and store data through multiple nodes. If a node fails or fails, other nodes can still continue to work to ensure the reliability and stability of the system. Multiple nodes in the distributed network can be used in parallel. Process tasks and improve the overall performance of the system. At the same time, since data is stored on various nodes using a distributed network, the load pressure on a single node can also be reduced.

Fairness and security

DQTN uses blockchain technology to make every transaction highly secure and reliable. Each transaction instruction is stored in a distributed manner on the Ethereum network, preventing data modification and loss. At the same time, due to the decentralized nature of the blockchain, no single entity can control the entire network, ensuring a fair and just trading environment.

Complex strategy execution

DQTN can execute complex quantitative trading strategies, including high-frequency trading and algorithmic trading, and can complete currency-free transactions of multiple currencies on different exchanges at the same time.

High-frequency and high-speed trading

DQTN uses the Ethereum distributed network to simultaneously capture the price difference of the same currency in different exchanges in a very short period of time, creating a profitable trading strategy. For example, DQTN can look for the difference between the buying and selling prices of users on different exchanges, or find the price difference of the same currency between different exchanges. Because this type of transaction is extremely fast, DQTN uses distributed network nodes to quickly hand over the trading decision-making power to DQTN that is close to the exchange server or close to the exchange user to execute the trading instructions, in order to shorten the time for the trading instructions to be sent through the network. High-frequency trading typically uses algorithmic trading to execute large volumes of high-speed trades in order to earn the spread between the buying and selling prices. This trading strategy is highly competitive and requires constant optimization of algorithms and technical equipment to stay ahead of the curve.