Bitget has rolled out a significant update to GetAgent, its AI trading assistant, introducing a more flexible answer engine, a cleaner interface, and substantially increased daily quotas for all users. This upgrade aims to streamline the way users access analyses, quick responses, and advanced research, making GetAgent a central component of the trading workflow on the exchange.
The assistant is now designed to detect user intent and adapt its responses accordingly. A direct query will yield a brief, actionable summary, while a more comprehensive question will activate a research mode. This mode generates a multidimensional study incorporating technical indicators, risk readings, on-chain data, and an outline of market structure. This integrated mechanism is intended to eliminate intermediate steps and shorten tasks that previously required the use of multiple external tools.
In conjunction with the enhanced functionality, Bitget has also aggressively expanded usage limits across all tiers. The Basic tier now benefits from daily quotas that were not previously available, while mid-tier plans have seen their available queries increase tenfold. Upper tiers now offer unlimited or near-unlimited access to all analytical functions. The objective of these changes is to empower every trader, from beginners to premium users, with an assistant capable of handling tasks ranging from simple inquiries to complex strategies requiring detailed technical context.
Redesigned Interface and New Trading Camp
The interface redesign focuses on reducing technical friction for users. The chat layout has been made clearer, reports are accessible with a single click, and the organization of previous studies has been improved to facilitate switching between analyses without losing context. The new layout incorporates a panel that organizes quick answers, research paths, and trade previews without cluttering the screen.
Alongside the GetAgent update, Bitget has launched a trading camp featuring specialized agents that execute live strategies and display real-time performance. This system serves as a laboratory where users can compare different trading styles, review the behavior of model agents, and evaluate how the AI adapts to changing market conditions.
Bitget views this update as a significant step towards creating an environment where every trader has access to an assistant that manages everything from research to execution. The integration of analysis, data, and actions into a single, streamlined flow aims to concentrate the most critical tasks of the trading process, offering a more efficient and comprehensive trading experience.