Bitget has introduced the GetAgent Playbook, a strategic workflow layer designed to enhance its AI trading tools by transitioning from chat-style prompts to comprehensive, ready-made strategies for users. This innovative feature enables users to browse, configure, execute, and adapt strategies tailored to their trading needs.
The exchange, which identifies itself as the largest Universal Exchange globally, noted that the GetAgent Playbook operates within the GetAgent and Bitget AI ecosystems. It represents the first user-facing application of the Agent Harness framework. Importantly, this system functions within user-authorized, isolated sub-accounts, ensuring that all actions are meticulously logged and auditable, thereby enhancing security and transparency.
Earlier this year, Bitget reported that over 1 million users successfully executed AI-driven trades using its tools, including GetAgent and GetClaw, amassing a staggering cumulative trading volume exceeding $1.2 billion. The GetAgent Playbook is specifically accessible to users with GetAgent Plus and Pro subscriptions, allowing them to preview the logic and risk settings associated with each strategy before implementation.
Gracy Chen, the CEO of Bitget, emphasized the importance of simplifying the complexities of AI trading. She stated that establishing prompt accounts constitutes roughly half of the challenge associated with integrating AI into trading workflows. Chen articulated that AI trading is transitioning from a Q&A format into structured workflows, highlighting the Playbook as a resource containing a library of predefined strategies that users can easily implement and customize.
Since the launch of GetAgent, Bitget has expanded its AI ecosystem, which now includes GetAgent, GetClaw, and the Agent Hub. This hub currently supports an impressive array of nine modules and 58 tools encompassing various trading functions such as Spot, Futures, Margin, Copy Trading, and Earn among others. The continuous enhancements demonstrate Bitget’s commitment to evolving its offerings in response to the growing needs of its user base, positioning it as a leader in AI-assisted trading solutions.
