2.2 Quantitative intelligent trading of digital currencies using AI Agents will become a trend

With the continuous development and maturation of blockchain technology, the integration of blockchain and quantitative intelligent trading is becoming a significant application bridging the transition from Blockchain 2.0 to Blockchain 3.0. AI Agent intelligent quantitative trading generally refers to the use of computer technology and mathematical statistical models to achieve investment objectives.

As artificial intelligence (AI) continues to rise, breakthroughs in AI Agent technology are driving the implementation of various niche applications. The evolution of AI has progressed from the "reasoning era," where logic was programmed to enable inference, to the "knowledge engineering" era of learning expert systems. After the accumulation and sedimentation of the data mining and big data eras, AI has now entered the age of deep learning based on neural networks. With the maturity of deep learning technology, the conditions for quantitative investment based on AI are now ripe.

The vast amount of structured data in financial markets, combined with complex network combinations that surpass human capabilities, is a perfect match for deep learning technology. AI Agent intelligent quantitative trading leverages deep learning to enable AI Agents to use modern statistical and mathematical methods to identify and construct investment strategies that generate excess returns from large volumes of historical data. Through self-play training, millions of trading data points are generated, and deep learning of this data produces effective strategies. The latest machine learning technologies enable AI Agents to overcome the limitations of human investment managers, including working hours, physical energy, and job stability.

It is evident that blockchain's empowerment has endowed AI Agent intelligent quantitative trading with stronger security and efficiency. It is believed that in the near future, AI Agent intelligent quantitative trading will fully replace manual trading and become a leader in the transformation of the digital economy era.