Bitget, the world's largest Universal Exchange (UEX), has introduced a new account structure enabling its AI trading agent, GetClaw, to execute trades autonomously within a dedicated environment. This marks a significant evolution in AI-driven trading, moving from advisory roles to active market participation.
The new agent accounts allow GetClaw to autonomously execute live trades based on natural language instructions, continuously monitor markets, and manage positions in real-time without manual intervention. This development builds upon Bitget's earlier launch of GetClaw as a zero-installation AI assistant and the expansion of its Agent Hub, which integrated analytical AI skills and data tools.
"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," said Gracy Chen, CEO at Bitget.
The dedicated sub-accounts provide clear separation between user-controlled assets and agent-driven activity, offering greater transparency and control. Users can define strategies in simple terms, while GetClaw executes within predefined parameters. This integration embeds AI directly into Bitget's trading environment, allowing both human users and automated systems to operate within the same unified infrastructure via the Agent Hub, which provides access to real-time data, analytical tools, and execution capabilities.
This shift is shaping the emerging trend of "agentic trading," where systems actively participate in markets rather than just supporting decisions. Within Bitget's Universal Exchange model—which supports both crypto assets and tokenized traditional instruments—the addition of agent accounts extends the platform's functionality beyond manual trading, reflecting a broader industry evolution toward integrated, real-time analysis and execution.
