Previously, I mentioned the need to learn about AI Agents, so I have indeed put some effort into studying AI, especially since Trump has repeatedly stated that he will invest heavily in AI. As an early adopter, I have certainly put in some work in the AI space. Although the AI that Trump refers to and the AI Agents in the crypto space are somewhat different, it is true that AI in the crypto space has increasingly shifted from narrative and storytelling to practical applications.

DeFi automation, smart contract management, data analysis, and prediction. These projects can genuinely drive application implementation. For instance, in the field of DeFi automation, AI Agents can automatically execute complex trading strategies, such as automated arbitrage, liquidity management, and risk control. AI can monitor market data on DeFi platforms and adjust portfolios in real-time to optimize returns or reduce risks.

In smart contract management, AI can interpret, execute, and even create smart contracts in certain cases. They can automate the auditing, deployment, and monitoring of smart contracts, reducing human errors and enhancing security and efficiency.

As for data analysis and prediction, there are already many tools available on the market that can handle large-scale on-chain data, analyze market trends in real-time, and provide investment advice or predict future price fluctuations.

A popular platform like ai16z is an AI-driven DeFi investment advisory platform that can simulate investment decisions using AI. The Eliza framework supports AI agents, reducing the complexity of investment decisions and somewhat reshaping the investment model in DeFi.

There are also platforms like Griffain, which positions itself as a smart assistant on Solana, supporting on-chain transaction execution, reporting feedback, and other functions, simplifying DeFi operations and lowering the application threshold, allowing more users to use it conveniently.

I have also learned about Lumo, which was mentioned by Nai Zong. In addition, there are AIDE, Listen, and nottelabs, which I have also explored to some extent. Of course, I mainly learn from the friends at @DeAgentAI, and I can gain a lot of ecological information from them every day. DeAgentAI has also launched Rena AI, an AI trading framework model application that covers chain abstraction, automated trading prediction execution, and self-reinforcement functions, providing a plugin-based agent training ecological scenario. The currently implemented application is AlphaX, and I am looking forward to its future performance.

As an experience officer of DeAgentAI, I am very interested in AlphaX, which represents an application under the Rena framework. It is the first AI model incubated by the community based on the feedback training mechanism of DeAgentAI, and its trading prediction accuracy for BTC and ETH is quite high. Moreover, it can provide model feedback based on user responses, and soon, empowered by Rena AI, there will be more new features for on-chain prediction and trading execution. Additionally, it can continuously self-learn and deepen based on the Rena framework.

I understand that what I am saying may not be very clear to everyone. The most direct point is that AlphaX has already integrated my favorite tool, @glassnode. I don't need to elaborate on how powerful GlassNode's features are; @Murphychen888 has done an excellent job in this field. This is also the first tool where I simply integrated analysis software with AI, and I am currently testing and experiencing it myself.

When I have experienced it enough, I will introduce it to everyone. However, I need to clarify again that all my learning is based on AI and AI Agents themselves and has nothing to do with investment. None of the projects I mentioned above are investment advice; they are merely a part of what I have learned during my study. I embrace AI and the AI Agents that can truly bring about trading. All content is not investment advice, so if there are any losses, please do not seek me for rights protection.

免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。