Understand WaveForm: The future of AI super transaction

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

The cryptocurrency rotation is relentless, but those who seize it have the power 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 on and investing in their cryptocurrency counterparts:

AI trading initially focused on raw computation and resources. For example, the market value 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 field, a new wave of AI projects emerged in the second half of 2024. 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 crypto AI field 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 Griffin 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 the research capabilities of AIXBT with the trading capabilities of DeFAI, and more 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 do the following:

• 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 such as Twitter and Telegram to quickly respond to market trends.

Waveform is similar to Virtuals Protocol, but its proxies have built-in trading capabilities and can handle personalized social messages instantly.

Since its launch, Waveform users have created 489 trading agents. While the project is still in beta with most agents in paper trading mode, early adopters have already gained access to on-chain transactions. Just yesterday, an agent with on-chain trading capabilities made $4,400 from an early purchase of $SLICE.