Bitget, the world's largest Universal Exchange (UEX), has unveiled a new account structure that gives its AI trading agent GetClaw a dedicated account environment to execute real trades autonomously. The agent can act on natural language instructions, monitor markets around the clock, and manage positions in real time without manual intervention, marking a milestone in AI-powered trading.
From Assistance to Autonomy: GetClaw's Evolution
This development builds on Bitget's earlier zero-install AI agent GetClaw and the recent expansion of Agent Hub, which introduced analytical AI Skills and integrated data tools linking market analysis directly to execution. Together, these steps represent a progression from access to intelligence and now to independent execution.
The introduction of agent accounts signals a shift in how AI is applied in trading. Earlier systems focused on assisting users through analysis or recommendations, but newer models can observe markets continuously and act on defined strategies. By assigning dedicated accounts to AI agents, Bitget extends this capability into direct participation under live market conditions.
Bitget CEO Gracy Chen stated: "Sooner or later emerging financial markets are going to be filled with AI agents trading on behalf of users. We're preparing the infrastructure to run this on scale."
Transparent Control and Infrastructure
The use of dedicated sub-accounts provides clear separation between user-controlled assets and agent-driven activity, enabling greater transparency and control over strategy deployment. Users can define strategies in simple terms while GetClaw executes, monitors, and adjusts positions within predefined parameters.
This approach reflects a broader architectural direction: rather than treating AI as an external layer, Bitget integrates it directly into the trading environment, allowing both human users and automated systems to operate on the same infrastructure. Through Agent Hub, AI agents access real-time data, analytical tools, and execution capabilities without relying on fragmented workflows.
The Age of Agentic Trading
As AI-driven participation grows, trading environments are evolving to support both human and machine-driven activity. This shift is shaping what is increasingly described as agentic trading, where systems move from supporting decisions to actively participating in markets.
Within Bitget's Universal Exchange model — where crypto assets and tokenized traditional instruments operate in a unified account structure — the addition of agent accounts extends functionality beyond manual trading. With over 125 million users, access to 2 million+ crypto tokens, and 100+ tokenized stocks, ETFs, commodities, FX, and precious metals, Bitget is positioning itself at the forefront of agent-native exchanges.
For more information, visit Bitget's official website.