Bitget says its AI trading stack has crossed two major milestones: more than 1 million users and over $1.2 billion in AI‑driven trading volume. The exchange rolled out a dedicated Bitget AI landing page and disclosed fresh adoption figures as it doubles down on what it calls “agent‑native” trading within its Universal Exchange (UEX) framework.
Bitget AI now bundles 58 AI‑powered tools into a single infrastructure layer that addresses market analysis, trade assistance, strategy building and full automation. The company positions this suite as a core element of its UEX multi‑asset strategy and as a step toward becoming a “native intelligent agent exchange,” where AI agents are embedded directly into trading workflows rather than added as external bots. The goal: a unified, closed‑loop environment that ingests market data, translates insights into strategy logic and executes orders automatically.
Three flagship products form the backbone of the stack:
- GetClaw: a no‑install AI agent that scans markets in real time, summarizes conditions and surfaces trade ideas via a conversational interface.
- GetAgent: an AI assistant that converts user rules or signals into live orders and manages positions for automated execution.
- Agent Hub: a developer‑focused platform exposing open APIs and model‑integration hooks so third parties can build and deploy their own agents on Bitget’s infrastructure.
Bitget CEO Gracy Chen has pointed to the next phase: AI Trading Playbooks, currently in internal testing. These Playbooks are designed to let traders describe strategies in plain language, automatically convert them into executable code, backtest performance and deploy to live markets — with built‑in distribution features that could let creators share or monetize successful strategies.
For now, Bitget frames the 1 million users, $1.2 billion in volume and 58 tools as proof points that AI is moving from marketing buzz to genuine order‑flow driver. The push toward “agent‑native” trading aims to differentiate Bitget in an increasingly crowded exchange landscape by embedding intelligence directly into the trading lifecycle for both retail users and developers.
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