TL;DR
- Bitget released an update to GetAgent with a more flexible engine, a clearer interface, and expanded quotas that allow all users to run analyses.
- The assistant detects user intent and adjusts every response, from a direct summary to a multidimensional study with technical data and market readings.
- The update expands quotas across all tiers, reorganizes the interface, and introduces a trading camp with agents running live strategies.
Bitget rolled out an update to GetAgent, its AI trading assistant, and rebuilt the way users access analyses, quick responses, and advanced research. The upgrade adds a more flexible answer engine, a cleaner design, and a substantial increase in daily quotas across all tiers, including users on the free plan.
New Capabilities in GetAgent
The update turns GetAgent into a central component of the trading workflow on the exchange. The assistant now identifies user intent and adapts each answer based on the type of request. A quick query returns a brief, actionable summary. A broader question activates a research mode that produces a multidimensional study with technical indicators, risk readings, on-chain data, and an outline of market structure. This mechanism removes intermediate steps and shortens tasks that previously required several external tools.
Bitget paired the new system with an aggressive expansion of usage limits. The Basic tier now receives daily quotas that did not exist before, while mid-tier plans get ten times the number of available queries. Upper tiers have unlimited or near-unlimited access to all analytical functions. The goal is to let any trader, from a beginner to a premium user, work with an assistant that handles everything from simple questions to strategies requiring technical context.
Bitget Launched a Trading Camp
The interface redesign aims to reduce technical friction. The chat layout is clearer, reports are one click away, and access to previous studies is better organized to switch between analyses without losing context. The new layout supports a panel that organizes quick answers, research paths, and trade previews without overloading the screen.
Alongside the update, Bitget launched a trading camp with specialized agents that execute live strategies and display real-time performance. This system works as a laboratory where users can compare styles, review model behavior, and evaluate how the AI handles shifting market conditions.
Bitget presents this update as a step toward an environment where every trader has an assistant that handles everything from research to execution, integrating analysis, data, and actions into a single flow that concentrates the most critical tasks of the trading process
