Kraken is preparing to relaunch its mobile app with a new artificial intelligence-driven trading system designed to monitor markets, generate personalized prompts, and carry out trades with limited human input, marking one of the company’s most significant product shifts as competition around automated cryptocurrency tools intensifies.
The redesigned app will focus on what Kraken calls “agentic trading,” a model in which AI-powered agents operate inside the trading experience rather than sitting on top of it as a separate chatbot or research tool. According to the company, the system is being built to run continuously in the background, track market conditions, learn from outcomes, and adapt to goals set by individual traders.
The move signals a broader change in how crypto platforms are trying to reshape mobile trading. Instead of apps functioning mainly as places to check balances, read charts, and manually place orders, major platforms are moving toward systems that can interpret data, suggest actions, and, when permitted, execute trades automatically.
Kraken said advice related to digital assets will be provided through Payward Interactive, Inc. Any guidance involving securities will come through Kraken Adviser LLC, an SEC-registered adviser. The company said the two entities operate independently.
The relaunch comes as Kraken expands beyond spot crypto trading and prepares for a possible public listing. Founded in 2011, the company has rolled out several new products in recent months, including expanded U.S. access to perpetual futures, Solana decentralized exchange trading, tokenized stock access, and on-chain lending partnerships. Its valuation reached $20 billion in 2023.
What agentic trading means
Agentic trading refers to software that can make decisions within defined limits, rather than merely responding to one command at a time. In practice, that means a trader may set broad objectives or risk preferences, while the AI system monitors conditions and recommends or executes actions based on those instructions.
In Kraken’s case, the new app is expected to provide curated market updates, trading insights, and portfolio suggestions tailored to user profiles. The company has described the agents as autonomous tools that can keep watching markets after the user leaves the app.
That design differs from earlier forms of automation common in markets, such as rule-based bots that follow fixed instructions. A traditional bot might buy a token when it crosses a certain moving average and sell when it drops below another level. An agentic system is designed to be more flexible. It may consider several inputs at once, adjust to changing conditions, and refine future recommendations based on previous outcomes.
For traders, the appeal is clear. Crypto markets trade around the clock, without the daily closing bell seen in equity markets. Sharp moves can occur during weekends, holidays, or overnight hours. A system that stays active continuously may help traders respond faster than they could manually.
The risk is equally direct. When a machine is connected to active funds, mistakes can happen faster than a person can intervene. If a system misreads market conditions, follows weak signals, or reacts too aggressively during volatility, losses can build quickly.
Speed changes the trading experience
The introduction of AI agents into mobile trading also changes the speed of decision-making. The new generation of automated systems can send orders far faster than a person tapping through screens on a phone.
The trading logic described around these tools can trigger orders in roughly 50 to 200 milliseconds. By comparison, a human trader may need two to five seconds to notice a price move, open the app, review a chart, and confirm an order. In fast-moving markets, that difference can be substantial.
Speed has long been a feature of professional trading systems. What is changing now is access. Tools once associated with specialist desks, quantitative funds, or high-frequency trading firms are increasingly being packaged into consumer-facing apps.
That shift could reshape how ordinary account holders interact with crypto markets. A mobile exchange account may become less like a manual wallet interface and more like a constantly operating machine portfolio that buys, sells, rebalances, and reacts throughout the day and night.
Still, faster execution does not guarantee better results. Markets can move on false signals, thin liquidity, sudden news, or cascading liquidations. A fast tool can reduce reaction time, but it can also execute the wrong decision with greater efficiency.
Automation is becoming a larger market
The push into AI-assisted trading comes as automated asset tools become a larger part of global finance. Grand View Research estimated that the global automated asset market reached $22.2 billion in 2025. Machine-based tools handled close to 40% of daily transaction volume across the industry that year, according to data cited in the sector.
That growth reflects several trends moving at the same time. Traders are seeking faster execution, lower friction, personalized dashboards, and tools that can process more information than a person can absorb manually. Platforms, meanwhile, are competing to keep users inside their apps by offering research, execution, lending, derivatives, tokenized assets, and now AI-powered decision support in one place.
Crypto is especially suited to automation because the market never closes. Bitcoin, Ethereum, Solana, and other digital assets can move sharply outside traditional market hours. Liquidity also varies widely by asset and venue, making execution quality and risk controls important.
AI tools may help traders scan large amounts of data, including price movements, volume, on-chain activity, funding rates, and news. But the usefulness of those tools depends on how they are trained, what data they use, and what limits are placed on their ability to trade.
Risk controls move to the center
The relaunch puts risk controls at the center of the AI trading debate. Any app that can make recommendations and execute trades automatically has to balance convenience with protection against runaway losses.
For traders who enable fast tools, daily loss caps may become one of the most important settings in the app. A hard limit can stop automated trading once losses reach a certain amount. Without that kind of boundary, a system that keeps trying to recover from losses could continue entering positions during a bad market.
Small test balances are another common risk-management step. Running an AI strategy with a limited amount, such as a small trial balance, can reveal how the logic behaves during sharp price swings before larger funds are connected. A two-week test period can show whether the system handles volatility, poor liquidity, sudden reversals, and failed signals in a way that matches a trader’s expectations.
Cooling-off periods can also matter. A forced pause after a stopped-out position, such as a 30-minute delay before the next trade, can help prevent repeated entries during unstable conditions. That kind of control is meant to stop a trading agent from doubling down immediately after a mistake.
These safeguards are not only technical features. They shape user trust. If traders believe an AI system can act too freely, they may hesitate to use it. If the controls are visible, simple, and enforceable, the system may feel less like a black box and more like a supervised tool.
A wider race among crypto platforms
Kraken’s move follows a wave of AI-related product activity across the crypto trading sector. Gemini opened access to agent-based trading tools for its users in April. Coinbase disclosed plans for an AI financial advisory product in June. Other major platforms, including OKX and Binance, have also integrated AI-based systems into trading, account management, and security tools.
The direction is clear: AI is moving from an experimental feature into the core layout of trading apps. Earlier tools often appeared as chat windows, education assistants, or research summaries. The new generation is closer to an operating layer that can influence what users see, what actions are suggested, and when orders are placed.
That creates both opportunity and pressure. Platforms want to offer faster, smarter products without losing user confidence or drawing regulatory criticism. Traders want automation but also need clarity on when the machine is only advising and when it is actually acting.
The distinction is critical. A market update is information. A suggested trade is guidance. An automatically executed order is an action with immediate financial consequences. As AI moves across those boundaries, platforms will face growing scrutiny over disclosures, permissions, conflicts, and accountability.
Regulation and accountability remain key questions
Kraken’s statement on Payward Interactive and Kraken Adviser LLC shows that regulatory structure is an important part of the rollout. Digital assets and securities can fall under different rules, depending on the product and jurisdiction. By separating advice for digital assets from guidance involving securities, the company is signaling that the app’s AI functions must operate within defined legal channels.
For traders, the key question will be transparency. They will want to know what the AI system can do, what it cannot do, and how to turn features off. They will also need clear information about fees, order routing, data use, and the conditions under which automated trades may occur.
Accountability may become one of the biggest issues as agentic trading expands. If a human places a trade manually, responsibility is straightforward. If software recommends a trade and the trader approves it, responsibility is more mixed but still traceable. If an autonomous tool executes within pre-set permissions, the question becomes more complex: Was the outcome the result of user settings, software design, market conditions, or a failure of controls?
The answer will matter to regulators, platforms, and traders alike.
Part of a broader Kraken expansion
The app relaunch is not happening in isolation. Kraken has been expanding its product range as it competes for a larger share of global crypto and digital asset activity.
Its recent moves include wider access to perpetual futures in the U.S., a market segment often used by more active traders seeking leveraged exposure. The company has also been building around Solana decentralized exchange activity, tokenized stock access, and lending partnerships connected to on-chain finance.
Together, those products point to a strategy that looks broader than simple crypto buying and selling. Kraken appears to be building a multi-product platform where spot trading, derivatives, tokenized assets, decentralized finance access, and AI-guided tools can sit inside one account.
That strategy may also support preparations for a future public listing. A company seeking public market access typically benefits from showing growth across product lines, user activity, revenue sources, and technology infrastructure. Kraken’s $20 billion valuation in 2023 placed it among the most closely watched private companies in the digital asset sector.
The next test is user trust
The biggest test for Kraken’s redesigned app may not be whether AI can generate trade ideas. Many tools can already summarize markets, scan charts, and explain price moves. The harder test is whether traders will trust an app to act on their behalf.
Trust will depend on several factors: how clearly the app explains its reasoning, how easy it is to set limits, how quickly traders can override the system, and whether the AI behaves predictably in stressed markets. A system may perform well in calm conditions but struggle when prices gap lower, liquidity disappears, or market news changes the direction of trading within seconds.
The relaunch reflects a broader moment for crypto trading. Automation is no longer a niche feature for advanced users. It is moving into the main interface of mobile apps, where everyday traders may soon face a simple but important decision: whether to keep full manual control or allow software to take a more active role.
Kraken is betting that many will choose the second path, provided the app offers enough control, speed, and transparency. The coming rollout will show whether agentic trading becomes a mainstream feature of crypto accounts or remains a powerful tool used cautiously by traders who understand both its benefits and its risks.
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