Bitget Launches AI Trading Assistant to Simplify Crypto Strategies
The crypto market moves fast. Bitget’s latest feature, GetAgent, is betting that AI can help users move faster.
Bitget has officially rolled out GetAgent, an AI-powered trading assistant designed to help users cut through the noise of the crypto market.
Built to function like ChatGPT for trading, GetAgent combines real-time market data, technical indicators, and automated strategy prompts into a conversational interface. The goal? To make trading decisions feel less like decoding rocket science and more like chatting with a market-savvy friend. Except the one friend is available 24/7 and never misses a price swing.
“AI is shaping a new era of trading—more efficient, more informed, and more user-led,” said Bitget CEO Gracy Chen. “GetAgent takes away the stress of interpreting data and churns out insights that will help both novice and experienced traders move faster, smarter, and with greater clarity.”
Unlike traditional dashboards or signal bots, GetAgent integrates multiple tools into a single flow of conversation. From identifying trend reversals and RSI alerts to flagging high-conviction setups, the assistant pulls from the user’s trading history, watchlists, and preferences to deliver personalized insights and alerts.
For instance, if a token on your watchlist suddenly breaks past resistance or if market sentiment around a sector shifts rapidly, GetAgent will proactively notify you with contextual data and suggested next steps. Traders can also ask follow-up questions, request deeper technical analysis, or execute trades directly within the interface.
According to Bitget, the assistant is already being used by early testers following a pre-launch phase and is now being rolled out to a broader audience via invitation codes. Future updates will introduce more custom settings, additional asset classes, and tighter integration across Bitget’s trading stack.
GetAgent is the latest in Bitget’s recent push into AI. In January, the exchange launched Bitget Seed , an AI-curated platform for discovering early-stage Web3 projects with high growth potential.
Together, these tools form part of Bitget’s broader strategy to blend AI and user experience to lower the barrier of entry for crypto participants, especially in a market that’s growing more complex by the day.
Whether GetAgent will meaningfully shift how retail users interact with markets remains to be seen. But one thing is clear: AI-powered trading tools are no longer theoretical—they’re here, and exchanges are racing to put them into users’ hands.
Learn more about GetAgent here .
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
AI investment enters the "Trough of Disillusionment", the next 18 months will be a life-or-death test!
Goldman Sachs believes that the AI investment cycle is currently in the "trough of disillusionment," but this is not the first time. The core contradiction lies in the fact that the business models of new cloud computing providers are highly dependent on end-user returns from AI spending, while currently "there are basically zero companies that can attribute profits to AI." Social Capital founder Palihapitiya has clearly defined an 18-month key window, during which the market will decide which AI business models are sustainable and which are not.
Anthropic's Core Concern: Revenue Can Be Withdrawn at Any Time, but Computing Power Costs Are Locked in for up to 20 Years
Zheshang Securities believes that Anthropic's revenue is mainly based on usage-based billing, with remaining performance obligations covering only about 5.1 months of annualized revenue, while compute power costs are already locked in with $895.4 billion in irrevocable commitments, some extending as far as 2045. Revenues can be reduced at any time, but costs are non-exitable, creating a highly asymmetric maturity gap between the two—this is the company's real core constraint.
Triple Pressure from the Federal Reserve, Treasury, and Congress; Goldman Sachs: Liquidity Crisis May Occur in 2027
Goldman Sachs warns that the reserve ratio of bank assets has dropped to around 11%, only slightly above the crisis trough of 2019. In the second half of 2027, a deadlock in debt ceiling negotiations will force the Treasury to rebuild the TGA, triggering a "perfect storm" of a sharp drop in reserves and a surge in T-bill supply; combined with stalled money market fund buying, this will create a huge liquidity black hole. The Federal Reserve could be forced into the awkward position of lowering interest rates and launching large-scale bond purchases to rescue the market.
Crypto prices
More
