The way people invest will change
Artificial intelligence is playing an increasingly important role in modern society and has become a new productive force that promotes the development of human society. The development history of artificial intelligence can be traced back to the 1950s.
In 1956, Dartmouth University in the United States held a two-month seminar where the term "artificial intelligence" was first proposed and the problem of using machines to simulate human intelligence was discussed. This seminar marked the beginning of artificial intelligence. The birth of the discipline of wisdom. Artificial intelligence (AI for short) is an emerging technical science whose purpose is to research and develop theories, methods, technologies and application systems that can analogize, extend and expand human intelligence. Artificial intelligence aims to enable machines to perform complex tasks that normally require human intelligence. The development of this field has also experienced many ups and downs. Initially, AI research mainly focused on problem solving and symbol processing. Entering the 21st century, with the rapid improvement of computing power, the explosive growth of big data and the continuous improvement of algorithms, machine learning, especially deep learning technology, has led a new era of A wave of AI technology innovation. These technologies enable machines to improve themselves through experience and have made revolutionary progress in many fields such as financial markets, big data processing, and trend prediction analysis.
With the acceleration of global digital transformation, the cryptoasset market has rapidly emerged and become an important part of the financial technology field. This emerging market has attracted the attention of a large number of investors and capital due to its decentralized nature, high liquidity and potential high returns. However, the complexity and volatility of the market have also brought unprecedented challenges to investors, especially in terms of information asymmetry and market prediction.
Against this background, investors urgently need a solution that can provide in-depth market analysis, real-time, investment strategies, data monitoring and scientific investment advice. Traditional financial services are difficult to meet this demand due to their limitations. Therefore, the market has a growing demand for an intelligent investment information service platform that integrates artificial intelligence and big data analysis.
Better-Pro was born to meet this market demand. By leveraging advanced AI technology, Better-Pro aims to provide investors with a comprehensive market analysis intelligence tool to help them better understand market dynamics and make more informed investment decisions. As the crypto asset market continues to develop and mature, Better-Pro will become an important partner for investors.
Traditional human traders are important players in the financial market. They develop trading strategies and execute buying and selling operations to make profits by analyzing and judging market information. The characteristics and working methods of traditional human traders include:
• Experience: Traditional human traders usually have rich trading experience and market knowledge, and can make trading decisions based on their intuition and experience.
• Subjective judgment: Traditional human traders' trading decisions are often based on subjective judgment and personal experience, and are affected by emotional and psychological factors.
• Interpersonal communication: Traditional human traders obtain market information through interpersonal communication and information acquisition channels, and trade and cooperate with other traders and institutions.
• Flexible decision-making: Traditional human traders have flexible decision-making capabilities and can adjust trading strategies and execution plans according to market conditions and personal preferences.
With the development and application of artificial intelligence technology, AI trading is gradually emerging as an emerging trading method. AI trading has faster response speed, more accurate decision-making ability and higher efficiency, which has obvious advantages over traditional human traders.
As an emerging trading method, AI trading has the characteristics of intelligence and automation, which are mainly reflected in the following aspects:
• Intelligent strategy generation: AI trading uses the algorithm of intelligent strategy generation to automatically generate trading strategies suitable for the current market situation according to the dynamic changes of the market and the needs of traders, thereby improving trading results and profitability.
• Automated execution: AI trading can realize the automated execution of trading decisions without manual intervention, greatly improving trading efficiency and execution speed, and reducing operational risks and costs.
• Intelligent backtesting: AI trading has an intelligent backtesting function, which can backtest and optimize historical data, evaluate the effectiveness and stability of trading strategies, and provide a scientific basis for trading decisions.