Bitget AI Reaches Milestone with Unified Trading Ecosystem
- Bitget AI surpassed 1 million users and achieved $1.2 billion in trading volume across its platform by mid-May.
- CEO Gracy Chen announced a strategic shift from AI chat features to full execution, aiming for an agent-native exchange model.
- The platform launched AI Trading Playbooks in beta, enabling traders to create and deploy strategies using natural language.
- Bitget AI integrates market analysis, strategy execution, and risk management into a single infrastructure layer.
- Getclaw and Getagent tools feed into Agent Hub, providing developers with API access and tools for custom agent development.
Bitget AI’s new unified trading ecosystem aims to streamline the trading process by integrating various functionalities into one platform accessible to both retail traders and developers. The shift towards an agent-native model reflects the evolving role of AI in trading, moving from chat-based interactions to full strategy execution.
With over a million users and significant trading volume, Bitget AI positions itself as a leader in the exchange market by focusing on user adoption and order flow rather than revenue generation. This development highlights the growing trend of incorporating AI capabilities as core infrastructure within major exchanges.(Source)