The rise of the AI track and investment strategy
This year's AI Agent track can be said to be extremely popular, attracting a lot of funds and developers. From Virtual, AI16z to Swarm and other projects, although there has been a certain pullback recently, its growth momentum remains strong. The popularity of this track has surpassed meme coins and is becoming the next focus of the market.
In the face of such a new track, how to layout on-chain investment is crucial. The following is a set of investment strategies based on different risk preferences:
1. Large position allocation
Choose some projects that have formed a consensus, such as AIXBT, Virtual, etc. These projects are similar to MKR and UNI in the DeFi Summer period. Although the short-term gains are limited, the long-term stability is higher.
2. Medium position selection
You can pay attention to projects with technical framework standards and innovative models, such as arc, REI, ELIZA, etc. Although these projects are in the stage of competitive melee, they have great development potential, especially large framework standard projects, which are basic and widely applicable, and are worthy of in-depth study.
3. Speculation with small positions
For some small projects with high risks and high returns, such as stoic and TAOCAT, you can invest a small amount of money with a "gamble" mentality. These projects are highly volatile and not well researched, but may bring short-term unexpected gains.
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