🤪 @TheoriqAI has made another big step forward. Swarm can now automatically adjust its strategy based on market changes. For example, in the last 24 hours, the price fluctuation and trading volume suddenly increased, so the Policy Agent determined that the current market is unstable, thus proactively narrowing the tolerance range for fluctuations and changing the tracking time from 24 hours to 4 hours to respond more sensitively to market changes. The core of this step is actually that Swarm's response speed and strategy adjustment capability are starting to approach that of "humans."

This change is significant because it means that Theoriq's Agent network has achieved a complete closed loop of "self-decision, self-ordering, and self-adjustment." LP Agent can open positions and swap currencies on-chain, Policy Agent actively optimizes strategies, and later, it can even integrate data sources like this to assist in decision-making. The whole system resembles a financial entity that can think and execute on its own.

Don't forget, the underlying driver of all this is Theoriq Protocol, which is essentially the infrastructure designed for Agent collaboration. It includes Agent authentication, encrypted communication, group discovery and coordination mechanisms, as well as onchain value exchange logic. In simple terms, Swarm can operate not because of hard-coded rules, but due to the flexible architecture empowered by the protocol.

The next steps they are going to take are also very interesting. On one hand, they are going to refine the OLP Swarm system thoroughly, and on the other hand, they are preparing to unveil a group of new partners and delve into what more complex Agent applications Theoriq Protocol can support. This is just the beginning; the real Agentic Economy is still on the way, but based on the current pace, Theoriq is among the frontrunners.