Bitget AI dey push agent-native trading with 1M users and $1.2B volume

Bitget AI talk say dia unified AI trading platform don pass 1 million users and don generate over $1.2B cumulative agent trading volume across 58 tools as of mid-May 2026. CEO Gracy Chen talk say Bitget AI dey shift from AI chat to full execution, dem want make am “agent-native” experience inside their Universal Exchange (UEX) framework. Bitget AI dey combine market analysis, strategy execution, and risk management for one infrastructure layer. E build on top Getclaw (zero-install AI agent for real-time insights) and Getagent (AI assistant wey dey turn rules/signals to orders and position management). Dem join for Agent Hub for APIs, model integrations, MCP Server support, and CLI tools. New feature, AI Trading Playbooks (beta), dey allow traders write strategies for natural language, then backtest, deploy, host, and distribute dem through built-in marketplace. Bitget still describe “closed-loop” operation wey allow retail traders and autonomous agents run side-by-side using sub-accounts and controls like sandbox environments and capital limits. For traders, main thing na adoption and order-flow activity, no be direct market-structure change. More AI-driven participation fit affect liquidity and short-term sentiment around exchange tech, but AI execution still higher-risk—especially for volatile markets—so monitoring and risk controls remain important. Traders suppose watch ongoing Bitget AI usage metrics well, because Bitget AI dey emphasize self-reported figures.