Markets

Kraken to overhaul app with AI investing assistant

Kraken is rolling out an AI investing assistant that monitors markets, suggests trades and builds personalised portfolios, but requires user approval before executing any order.

⏱ 2 min read Markets
Quick Summary
  • Kraken's redesigned app lets users set financial goals and generates a suggested portfolio, with every trade requiring explicit user approval before execution.
  • Chief data officer Kamo Asatryan said the tool is designed to give everyday investors the same market awareness as the exchange's most active traders.
  • OKX, Coinbase and Revolut have launched comparable AI trading tools in recent weeks, with agentic activity on Coinbase's Base network surpassing 100 million transactions.

Crypto exchange Kraken is embedding an AI-powered financial assistant into its mobile app, positioning the redesigned platform as a goal-driven investing tool rather than a conventional trading interface, according to a company announcement and a CNBC report published July 10, 2026.

How the new app works

Users start by entering personal financial goals and risk preferences, such as buying a home, saving for retirement or building an emergency fund. The app then uses that information, alongside a user’s funding preferences and financial profile, to generate a suggested portfolio for review and adjustment before any money is committed.

Once invested, the platform delivers personalised portfolio updates and ongoing investment suggestions tied to each user’s specific holdings. Kraken describes the underlying system as ‘financial intelligence’ that continuously monitors markets and identifies trade opportunities, but it stops short of executing orders on its own. Every recommendation requires explicit user approval before a trade is placed.

Speaking to CNBC, Kraken chief data officer Kamo Asatryan framed the product as a way to close the gap between casual investors and the exchange’s most active power users.

‘There’s an opportunity for everyday people to become high-frequency traders and do so using plain English,’ he said.

AI agents spread across crypto platforms

Kraken’s announcement arrives alongside a wave of similar moves from rivals and fintech firms. In June, OKX launched a beta marketplace where AI agents can transact autonomously, complete onchain tasks and build blockchain-based reputations, while Coinbase introduced a tool letting AI agents make payments and trade cryptocurrencies on behalf of users via its x402 payments protocol.

Adoption is accelerating: Chainalysis reported that agentic payment activity on Coinbase’s Base network had surpassed 100 million transactions, with higher-value transfers becoming more common as AI-driven payments move beyond micropayments and early experimentation. On Friday, fintech firm Revolut upgraded its Revolut X exchange to let customers connect AI assistants, including Claude, Gemini, Cursor and OpenClaw, to analyse markets, backtest strategies and place orders through natural-language prompts. Like Kraken, Revolut requires users to approve every trade before execution.

Decision-support, not automation

A consistent theme across all these launches is the human-approval requirement. Kraken, Revolut and Coinbase’s tools each preserve user sign-off as the final step, positioning AI as a decision-support layer rather than a fully autonomous trading system. Kraken’s Asatryan cited continuous market monitoring and opportunity identification as the core value drivers, aiming to give retail investors capabilities previously reserved for the exchange’s most active participants.

⚖️ Our Verdict ⚖️ Watch and Wait

Kraken's AI assistant could lower the barrier to investing for everyday users and broadens the exchange's appeal beyond active traders, and the human-approval safeguard is a sensible guardrail. But this is a product announcement rather than a proven tool, and a pitch built on turning ordinary users into 'high-frequency traders' cuts both ways, since more active trading often works against retail returns. One to watch as the feature ships and its real-world effect on users becomes clear.