AI Trading Assistants: From Optional Add-On to Default Mobile Feature
An AI trading assistant mobile experience is a smartphone-based investing interface where artificial intelligence continuously interprets markets and user preferences to suggest portfolio moves, surface risks, and explain price changes, turning what used to be manual research and complex decision trees into guided, conversational workflows for everyday investors.
The core shift is blunt: AI-powered investing apps are no longer a gimmick; they are becoming the main interface for retail trading. eToro’s new mobile app, launched at its “Intelligence in Motion” event, puts its AI agent Tori at the center of how users see portfolios, receive alerts, and manage goals. Kraken is doing the same with a rebuilt app that leads with artificial intelligence-powered investment capabilities. The message from both platforms is clear: if you are still tapping through static charts and watchlists, you’re behind. Mobile trading intelligence is now designed to come to you, not wait for you to come to it.
Inside eToro’s Tori: Collective Intelligence Wrapped in a Mobile App
eToro is betting that the future of retail investing looks less like a brokerage app and more like an AI guide woven into daily life. During its London “Intelligence in Motion” event, the company introduced a rebuilt mobile application that is faster, more tailored, and anchored by Tori, its proactive AI agent. With approximately 40 million registered users across 75 countries feeding trading histories and behaviors into the platform, Tori is trained on how real people invest, not just on market data.
Tori’s role is opinionated by design: it pushes unsolicited but relevant updates on portfolio performance, market movements, and drivers behind price changes so users are nudged before risks or opportunities slip past. The app supports sub-accounts for distinct goals like education or home purchases, plus agent-powered portfolios that can run AI-driven strategies inside dedicated buckets while users retain oversight. Notifications extend out to WhatsApp and Apple Watch, turning Tori into a roaming assistant rather than a feature locked inside the app. In effect, eToro is using AI to erase the old friction between “checking the markets” and living your life.
Kraken’s AI Portfolio Builder: Trading as a Goal-Driven Conversation
Where eToro leans into community-driven intelligence, Kraken’s overhaul makes AI the front door to every new portfolio. Its revamped mobile application begins by asking users for clear inputs: investment goals, risk comfort, and monetary preferences. From there, the AI constructs a recommended asset allocation for review before a single unit of capital moves. This is automated portfolio building in its most accessible form—trading starts as a planning session, not a hunt for tickers.
Once funds are in place, Kraken’s “financial intelligence” system runs continuous market analysis, delivering tailored insights and trade ideas based on each user’s actual positions. Yet the platform draws a line: the AI cannot execute trades on its own, and every suggested transaction requires explicit user approval. According to coverage citing Kraken’s chief data officer Kamo Asatryan, the aim is to give everyday investors market intelligence on par with the platform’s most sophisticated users, using plain language instead of trading jargon. That balance—AI in the background, human in control—is the new norm Kraken wants to enforce.
How These Assistants Change Retail Investing: Less Friction, More Guidance
Both eToro and Kraken are attacking the same pain point: the cognitive load of trading. For years, retail investors were expected to digest feeds of headlines, charts, indicators, and opinions, then convert that chaos into coherent strategies. eToro’s redesign targets users who want smarter, more personalized tools that deliver timely information without constant manual searching. Kraken positions its AI as a decision aid that surfaces opportunities and risk-aware allocation ideas while leaving final judgment to the user.
This is where mobile trading intelligence matters. Tori keeps watch over portfolios and market drivers, alerting users when something material changes. Kraken’s system does round-the-clock surveillance too, continuously scanning for trading opportunities linked to each user’s holdings. By turning raw data into prioritized prompts—“your allocation is drifting,” “volatility is spiking in this asset,” “your goal looks off track”—these AI trading assistant mobile features reduce friction for retail investors without fully taking the wheel. The risk is complacency; the upside is that more people may behave like disciplined investors instead of reactive speculators.
The Arms Race: Why Every Fintech Is Rushing AI Into the Stack
Neither eToro nor Kraken is moving in isolation. Kraken’s initiative sits inside a broader sprint by exchanges and fintech apps to embed AI into their trading cores. Competitors such as Coinbase, Gemini, OKX, and Binance have all rolled out AI-enhanced trading capabilities, while another major platform now lets users plug in external assistants like Claude and Gemini to run analysis and even execute trades through conversational commands, still with mandatory user authorization.
Data shows this is more than hype: one large base network processed over 100 million agentic payment transactions in a single month, and the rising value of those transfers signals that AI-facilitated activity has moved beyond low-stakes experiments. eToro is already expanding its own app store of agent-driven tools and opening a Builders’ Portal so partners, quants, and community members can deploy new trading agents on top of its platform. Kraken’s upgraded app is scheduled for wide release in the coming weeks. The competitive reality is stark: the next wave of AI-powered investing apps will not be judged by whether they have an assistant, but by how much real, defensible edge that assistant can deliver to ordinary investors.
