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Bitget has spent the past year positioning itself at the intersection of retail-friendly UX and advanced trading tools. Its newest addition, GetAgent, aims to collapse the gap between analysis and execution by giving traders a single conversational interface that can interpret natural-language requests, generate market insights, and place trades directly inside the app. In the review, the feature is presented not as another gimmicky chatbot, but as a functional assistant that helps reduce friction in day-to-day trading. Below is a concise recap of how GetAgent works in practice, paired with a step-by-step walkthrough anyone can follow. A Seamless Entry Point Into Trading Accessing GetAgent inside the Bitget app is intentionally simple. The assistant is available from several locations: the home screen’s More Services menu, the Assets dashboard, and directly through individual token pages. In certain markets, Bitget automatically displays a banner such as “GetAgent is analyzing” a cue that contextual insights are already being prepared for that specific asset. Once opened, traders are greeted with a minimalist chat interface. Suggested prompts appear at the bottom, but the assistant works best through natural instructions. Example from video: We gave the following command: “I want to buy ZEC, but I want to purchase it cheaper. What’s a good entry point?” After a few seconds of generating a response, GetAgent provides a complete analysis, stating the current trading price, potential support levels, and resistance levels. It generates a short-term analysis, which issues a bearish signal. It then specifies the entry strategy, suggesting an entry point between $220 and $225. It then went on to suggest that the user should allocate only 20% to 30% of their capital, rather than investing it all at once. It also provided the user with suggested stop-loss levels. Crucially, it always offered multiple options for both the stop-loss…

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Filed under: News - @ December 4, 2025 11:22 am