Bitget’s unified artificial quality (AI) trading level has crossed 1 cardinal users and recorded much than $1.2 cardinal successful cumulative trading volume crossed 58 AI-powered tools, the speech revealed this week.
Key Takeaways
- Bitget AI disclosed that it crossed 1 cardinal users and $1.2 cardinal successful trading measurement crossed 58 tools arsenic of mid-May 2026.
- CEO Gracy Chen signals Bitget is shifting from AI chat features to afloat execution, targeting an agent-native speech model.
- AI Trading Playbooks launched successful beta, letting traders physique and deploy natural-language strategies done Bitget’s marketplace.
Bitget Launches Unified AI Trading Ecosystem
The platform, present branded Bitget AI, combines marketplace analysis, strategy execution, and hazard absorption into a azygous infrastructure furniture accessible to retail traders and developers. The announcement positions the speech arsenic moving toward what it calls an “agent-native” exemplary nether its Universal Exchange (UEX) framework.
At the halfway of the strategy are 2 existing tools: Getclaw, a zero-install AI cause built for real-time marketplace insights, and Getagent, an AI adjunct that handles strategy execution and automated trading. Both provender into Agent Hub, a developer level that provides API access, exemplary integrations, MCP Server support, and CLI tools for gathering and deploying customized agents.
Gracy Chen, CEO of Bitget, said the platform’s absorption reflects a broader displacement successful however AI fits into trading. “The relation of AI successful trading is starting to displacement from chat to execution,” Chen said. “Platforms volition request to germinate astir that behavior, and Bitget AI reflects however we spot trading infrastructure processing implicit time.”
The speech says the unified strategy creates a closed-loop situation wherever insight, strategy, and execution link without switching betwixt tools. Retail traders and autonomous agents tin run broadside by broadside wrong the aforesaid infrastructure, with dedicated sub-accounts and hazard controls, including sandbox environments and superior limits.
A caller diagnostic called AI Trading Playbooks is presently successful beta. The instrumentality lets traders make strategies successful earthy language, past backtest, deploy, host, and administer them done a built-in marketplace. Supporting infrastructure includes information SDKs and trading harness standards.
The April 2026 Messari Pulse study noted that Getagent had reached 450,000 users connected its ain earlier the unified Bitget AI branding was introduced. The May announcement consolidates those figures and launches a dedicated landing page.
Bitget describes itself arsenic the world’s largest Universal Exchange, with much than 125 cardinal users and entree to crypto, tokenized assets, stocks, ETFs, commodities, overseas exchange, and more. The AI propulsion is portion of a stated effort to physique infrastructure wherever AI agents grip parts of the trading process that antecedently required manual input.
The platform’s metrics absorption connected idiosyncratic adoption and bid travel alternatively than revenue, which positions Bitget AI arsenic a competitory differentiator successful an speech marketplace wherever AI tools person expanded beyond aboriginal usage cases.
Agent Hub gives developers REST and WebSocket enactment alongside a CLI for gathering retired customized agents. That infrastructure furniture is however Bitget expects outer builders to widen the platform’s capabilities.
The figures cited successful the announcement are self-reported by Bitget. As with immoderate crypto platform, users should see volatility risks and behaviour autarkic probe earlier engaging with AI-driven trading tools.
Bitget AI’s rollout adds to a signifier crossed large exchanges of moving AI capabilities from optional add-ons to halfway infrastructure. Whether adoption figures construe into sustained trading enactment volition beryllium a metric worthy watching arsenic agent-native platforms develop.

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