Kraken is poised to relaunch its mobile application, with agentic trading functionality at its core. This strategic move signals the emergence of a new competitive frontier for cryptocurrency exchanges, the company revealed in an exclusive discussion.
Agentic trading represents a paradigm shift where artificial intelligence agents autonomously execute trading decisions, manage portfolios, and conduct transactions, all guided by human input. Unlike conventional automated trading systems that adhere to predefined rules, agentic platforms possess the capability to analyze a multitude of variables, assimilate new information, and actively pursue objectives set by human users within defined parameters.
Kraken’s forthcoming platform will empower users with access to AI agents designed to continuously monitor market fluctuations, pinpoint investment opportunities, and execute trades in real-time. This development aligns with a broader industry trend toward AI-native financial products, as advancements in large language models and autonomous systems are fundamentally altering how investors engage with financial markets.
“Artificial intelligence will democratize market responsiveness, enabling everyday individuals to react to market conditions with the same agility as our most seasoned traders,” stated Kamo Asatryan, Chief Data Officer at Kraken. “Even during market downturns, our professional traders remain highly active and engaged. It’s imperative that retail customers are afforded the same capabilities and access to information as their professional counterparts.”
This vision reflects a structural transformation akin to the advent of mobile trading or algorithmic investing. While mobile trading and accessible apps democratized access to financial markets, they did not inherently cultivate widespread investor confidence or success. Kraken posits that AI can bridge this gap, elevating the experience and support for all its customers to levels previously exclusive to professional traders.
The app’s onboarding process leverages AI to discern users’ financial goals, risk tolerance, preferred funding methods, and overall financial profile through a streamlined interface. Based on this data, the AI generates a draft portfolio, which users can then review, modify, and approve, accompanied by clear explanations for each recommendation. Post-investment, users will receive AI-curated market insights, relevant portfolio news, and proactive recommendations, such as strategies for optimizing idle cash. Over time, the platform aims to utilize AI to personalize both user interactions and the application’s interface.
The experience is designed to be agentic, yet not fully autonomous. While the AI proactively identifies opportunities and suggests subsequent actions, it refrains from executing trades or implementing recommendations without explicit user confirmation, thereby maintaining user control over every decision.
“Interacting with Kraken will feel like conversing with a highly informed and trusted confidant who possesses deep financial acumen, an understanding of your personal circumstances, your aspirations, and your priorities. This confidant can expertly guide you through the vast array of options, assets, products, and markets to help you achieve your goals, without requiring you to become a financial expert yourself,” Asatryan elaborated.
This initiative is part of a larger industry-wide evolution where AI is transitioning from a supplementary feature to an integral component of core financial infrastructure. Consequently, key relationships are increasingly shifting from direct human interaction to sophisticated agents managing capital. Companies that successfully integrate autonomous trading capabilities are likely to achieve a significant competitive advantage in customer engagement, trading volume, and retention.
The ability to engage in discussions about investment opportunities with AI promises to “unlock significant accessibility and engagement for everyday individuals,” according to Asatryan. “Traditionally, this sophisticated level of market interaction has been the domain of professional traders, characterized by their use of complex indicators, API integrations, and high-frequency trading strategies. However, in this new era, everyday people will have the opportunity to participate in high-frequency trading, simply by articulating their needs in plain English to their AI-powered financial advisor.”
Kraken’s move into AI-powered crypto services places it alongside other industry players. Competitors such as Coinbase and Gemini have recently launched AI-assisted trading and developer tools, respectively. This innovation surge occurs against the backdrop of a protracted bear market in cryptocurrency prices, a period typically characterized by industry builders focusing on foundational development and technological advancement.
Asatryan firmly believes that the expanding role of AI within the cryptocurrency sector represents a “genuine growth opportunity,” rather than a transient trend driven by the bear market.
“Exchanges traditionally struggle during bear markets because the majority of their clientele also faces challenges during these periods,” he explained. “Customer engagement is often driven by FOMO (fear of missing out), leading to purchases at market peaks and sales during downturns, resulting in high customer churn. Our platform, however, has demonstrated that traders can effectively capitalize on any price movement and maintain engagement across various market cycles.”
As one of the earliest cryptocurrency exchanges, founded in 2011, Kraken’s established user base comprises institutional clients, trading firms, professional traders, and active leveraged traders. Its retail customer segment is largely composed of individuals with extensive experience in cryptocurrency trading.
Asatryan also highlighted Kraken’s strategic focus on attracting a new demographic of customers as the company “evolves beyond its identity as a pure exchange” and aims to “develop a comprehensive financial services platform encompassing payments, banking, lending, and other ancillary services.”
“These are sectors that have historically remained largely untouched by cryptocurrency. However, the advent of stablecoins and tokenized assets has created unprecedented opportunities for access, utility, and novel use cases far beyond traditional exchange functions,” Asatryan noted. “Artificial intelligence is poised to make all of these advancements universally accessible in the future.”
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