Author: Qorban Ferrell, Messari researcher; Compiled by: 0xjs@金财经

The rotation of cryptocurrency is ruthless, but those who seize it have the ability to reshape their destiny. An agreement heralds the next big shift - the product of the fusion of DeFAI and AI agents.

The development process of AI super trading is tortuous and non-linear. But each iteration drives the market toward a common goal: bringing AI directly to end users’ fingertips.

Following the historic rise of NVIDIA and the launch of ChatGPT in 2022, market participants quickly began building and investing in cryptocurrency peers:

AI Trading Initial Focus on raw computing and resources. For example, the market cap of Render (RNDR), the first decentralized GPU rendering network, reached $151 million in December 2022. Just a year later, it hit $2 billion — a 13-fold increase and continues to climb.

After a short break in the crypto AI space, the second half of 2024 saw the emergence of a new wave of AI projects. The key moment was the launch of GOAT, an AI agent on Twitter trained on the dark corners of the internet. It gained popularity as an ideal consumer-facing tool for posting and replying to tweets around the clock.

Today, the field of cryptographic AI is evolving into two distinct subfields.

The first area includes agents like AIXBT, which publish research content, answer questions, and even show personality through humorous comments.

The second area is called DeFAI. DeFAI projects such as Griffain and ANON enable users to enter natural language prompts and execute them on-chain as DeFi operations, effectively acting as the blockchain’s AI chat interface.

I believe these two fields will merge into personal AI trading agents. These trading agents will combine AIXBT’s research capabilities with DeFAI’s trading capabilities and, importantly, they will be tailored to individual needs – such as risk tolerance and industry interests.

This fusion is encapsulated in a framework called Waveform. Waveform is building a platform where users can:

Autonomous trading – Leverage the Waveform trading agent framework to perform real-time decisions driven by data insights.

Personalized Agents – Develop customized trading agents to suit specific strategies, preferences and signaling requirements.

Integrate social signals – Integrate information from platforms like Twitter and Telegram to respond quickly to market trends.

Waveform is similar to Virtuals Protocol, but its agent has built -in transaction functions and can immediately process personalized social information.

Since its launch, WaveForm users have created 489 transaction agents. Although the project is still in the test stage, most agents are in the paper trading model, the early adopors have obtained access to the chain transaction. Just yesterday, an agent with chain trading capabilities made $ 4,400 through early purchase of $ Slice.