Artificial intelligence (AI) is no longer a distant promise in crypto. AI-powered tools are already powering trading bots, predicting token sentiment, and responding to market shocks in real time. It, therefore, shouldn’t come as a surprise that a handful of crypto exchanges are using AI-powered tools to analyze markets, build personalized strategies, and execute 2 AI has proven to be useful for crypto traders , exchanges like Bitget, Kraken, and Binance are developing and leveraging their own AI tools to help users gain a competitive edge in the market. Bitget’s GetAgent Gracy Chen, CEO of crypto exchange Bitget , told Cryptonews that Bitget views AI as a core part of the platform’s Universal Exchange (UEX) 3 earlier this month, Bitget’s UEX platform combines centralized exchanges (CEX) and decentralized exchanges (DEX) with traditional finance (TradFi) 4 allows users to trade a wide range of assets, including cryptocurrencies, stocks, exchange-traded funds (ETFs), forex, gold, and real-world assets (RWAs), all from a single 5 ensure operations run smoothly, UEX leverages Bitget’s AI-powered trading assistant, “GetAgent.” GetAgent helps users analyze crypto markets and execute trades via a chat interface.
“Users can interact with GetAgent in the same way as speaking with an advisor, asking questions like ‘Should I rebalance my portfolio?’ or ‘What’s ETH’s short-term resistance?’ Responses are suited for each individual user,” Chen said. #GetAgent , the world’s 1st AI crypto trading assistant, is now open to ALL! 50+ pro tools in one Personalized strategies & insights One-click trading made smarter Join the experience-sharing promotion & win 30-day GetAgent Plus membership Try it now! … 6 — Bitget (@bitgetglobal) August 19, 2025 Use Cases Chen noted that GetAgent is designed to help Bitget users make better 7 was demonstrated recently when the synthetic dollar, USDe , depegged on the Binance crypto exchange due to an internal oracle 8 to Chen, many traders were caught off guard by how quickly this event 9 a result, Bitget users leveraged GetAgent to monitor real-time oracle data updates and on-chain metrics (such as redemption pressure, volume spikes, and liquidity outflows).
This allowed users to adjust or withdraw positions faster than manual tracking would have allowed. “In such cases, traders might feel panic seeing such a situation unfold, but GetAgent removes the emotion from the decision-making process by evaluating the numbers and making a recommendation rooted in facts,” Chen said.). “This means that just by typing a few words, the trades and insights garnered allow it to execute on the app,” Chen 10 Acquires 11 Cryptocurrency exchange Kraken is actively advancing its platform by incorporating AI‑powered tools and 12 recently, Kraken acquired Capitalise. ai, a no-code, natural-language trading automation 13 to a Kraken blog post , a phased rollout of Capitalise.
ai’s functionality within Kraken Pro is expected to begin later this 14 post further mentions that integrating Capitalise. ai’s technology into Kraken Pro will allow users to automate sophisticated strategies across digital and traditional asset classes without writing a single line of code. It’s also interesting to note that Capitalise. ai’s platform supports not just cryptocurrencies, but also equities, FX, futures, and 15 could mean that Kraken’s acquisition positions them toward offering multi‑asset automation beyond just 16 Cases Once integrated, 17 will allow Kraken users to write natural‑language strategy 18 system will then convert those into execution logic and backtest them on historical data. @Capitalise_ai joins Kraken No-Code Trading Is Coming Soon you’ll design, back test & execute strategies in plain 19 automation, no coding 20 more: 0 21 — Kraken Pro (@krakenpro) September 1, 2025 For example, a trader might specify “Buy ETH if its 14‑day RSI drops below 30 and the volume spikes by 150% compared to average.” This will then be translated into parameters, conditions, and 22 testing, the strategy can be set live, allowing for automated monitoring and execution.
Binance’s AI-Powered Features Crypto exchange Binance introduced a major update to its app interface in June based entirely on AI-powered 23 as “ Binance UI Refined,” this is a customizable, AI-powered user experience designed to adapt to each user’s trading style, experience level, and regional 24 new tools include an AI token report and narrative, along with a token sentiment 25 features are fully integrated within Binance and on the Binance 26 to a statement from Binance, the crypto exchange seeks to address a common challenge among crypto traders: managing the constant flow of market data and sentiment in a 24/7 trading 27 Cases The AI token report features an in-depth overview of a token’s market outlook in under 30 28 report is updated hourly and includes positive indicators, risk assessment, and community 29 is drawn from spot trading, whale activity, and buy/sell analytics on 30 smarter trading with AI Token Reports Now with data-driven, timely, and tailored token intelligence to power your trading 31 today 1 32 — Binance (@binance) September 8, 2025 Binance wallet users also have access to upgraded sentiment and smart money 33 signs provide a bullish or bearish indicator based on real-time social media activity, including mentions on the social media platform 34 tool analyzes user conversations to determine whether sentiment is trending positive or negative, and summarizes key events influencing token 35 money signals leverage Binance’s proprietary AI token narrative engine to offer insights into a token’s story, cultural relevance, and market 36 feature aggregates social media posts, news, and trading 37 also tracks key opinion leaders (KOL) activity and allows users to execute trades directly from the signals page via a quick buy 38 Takeaways While it’s notable that popular crypto exchanges are leveraging AI tools to help traders, a number of considerations should be taken into 39 who seek simplicity and automation may find AI-powered tools useful, but challenges, including trust and transparency, should remain top of 40 instance, Nick Emmons, founder and CEO of Allora Labs, told Cryptonews that trust and model lock-in are the biggest challenges.
“AI models are often black 41 crypto exchanges build too much of this critical market infrastructure on a single model, they are inheriting all of the shortcomings, trust assumptions, biases, 42 that model. It’s critical that we tap into AI systems that pull from many models when building AI-powered market infrastructure to overcome these challenges,” Emmons 43 challenge aside, Emmons believes that AI-powered tools provide traders with adaptive intelligence, delivering more reliable, data-driven forecasts while maintaining 44 Bitget GetAgent Kraken + 45 Binance AI Tools Natural‑language strategy setup Yes Yes (no‑code) Limited (UI widgets + signals) Trade execution via chat prompts Yes (spot, on‑chain, futures) Future state (strategy execution) Limited: signals/automation, but a less chat prompt version Data sources included Real‑time market, on‑chain, sentiment, news Real‑time & historical data across asset classes Social sentiment widgets, smart signals, on‑chain flows Target user level Beginner → Intermediate → Advanced Intermediate → Advanced (pro tool) Broad: from beginner to advanced users Custom strategy + backtesting Yes (strategy builder) Yes (backtesting & automation) Mostly automation/widgets/signals; full custom strategy is less emphasized Mostly automation/widgets/signals; full custom strategy is less emphasised Live (July 2025) Integration “coming later” Many features already live (UI, signals) Barrier to entry (ease of use) Low (chat interface) Higher (though no code) Low‑to‑medium (widgets & bots) Primary strength All‑in‑one chat agent, execution + insights Pro‑grade automation & strategy building Large ecosystem, personalized UI + signals + automation
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