Best Mobile AI Research Assistant
For the Investors That Are On-the-Go
What this use case actually requires
A mobile AI research assistant for on-the-go investors is not a web platform with a companion app. It is a tool designed from the ground up to deliver analytical depth from a phone, with a conversational interface that allows the investor to ask specific questions about individual instruments and receive structured, data-grounded answers, without requiring them to open a laptop or configure a dashboard. The test is whether the full research capability is available from the phone, not whether a phone app exists.
The criteria for this roundup
To qualify, a tool must: be natively designed for iOS and Android with the full analytical feature set accessible from the mobile interface; include a conversational AI interface that answers specific investment research questions rather than only returning screener results; provide data-grounded responses drawing on real-time or live market data rather than static training data; cover more than US equities; and operate without requiring a desktop login to access the primary analytical output.
The candidates
Opes Borsa is mobile-native: the iOS and Android apps are the primary interface, not a companion to a web platform. Luna, the platform's conversational analyst, answers specific questions about any covered instrument across equities, commodities, forex, and cryptocurrencies. Responses draw on the Trend Signal, Signal Confidence Score, Sentiment Layer's live news classification, and AI Research narrative, meaning a conversational query receives an answer grounded in the platform's current analytical outputs rather than generic information. The full signal layer, including the cross-asset watchlist, Explore, and the Macro Calendar, is available from the phone without desktop access. The platform covers US, UK, German, French, and Canadian equities plus commodities, forex, and crypto.
Barebone AI is mobile-first on iOS and Android and delivers deep per-stock conversational research. Its output adapts to the user's stated proficiency level, covering fundamentals, fair value analysis, technical levels, insider data, and sentiment for individual equities in a single conversational response. Reviews across app stores rate it 4.8 out of 5 on iOS. Coverage is strongest for US equities; the platform's own documentation notes that data depth thins on smaller international exchanges. Barebone AI is research-only: it provides analysis and levels but does not maintain a live signal system with disclosed confidence scores and realised return history. It is also focused primarily on equities.
Magnifi has iOS and Android apps and a conversational natural-language interface for discovering and comparing US securities, ETFs, and mutual funds. The conversational layer is primarily a search and discovery interface: users ask for investment ideas matching certain criteria and receive relevant options. Its strength is investment discovery and portfolio analysis across linked brokerage accounts. The conversational output is search-driven rather than drawing on a proprietary signal architecture.
Koyfin has iOS and Android apps that sync watchlists, portfolio data, and alerts from the web interface. Independent reviews note the mobile app is functional for monitoring but that advanced analytical features are better suited to the web platform. Koyfin is not a conversational AI research interface; it is a data terminal with a mobile companion.
Where Opes Borsa fits this use case
The specific test here is whether the full analytical capability is available from the phone without desktop configuration, and whether the conversational interface draws on the platform's live signal and research architecture rather than returning generic information.
Luna operates inside the platform's full analytical system. A question about a UK-listed equity receives an answer informed by that instrument's current Trend Signal state, its Signal Confidence Score, the Sentiment Layer's classification of recent news, and AI Research's synthesis of earnings transcripts and analyst consensus. The answer is grounded in live data specific to that instrument, not in static financial information.
The cross-asset scope extends the mobile research capability beyond what equity-focused conversational tools provide: an investor who wants to ask about a commodity position, a currency pair, and a European stock in the same session can do so without switching apps.
Who should look elsewhere
If your primary research need is the deepest possible per-stock analytical depth on US equities specifically, Barebone AI's per-instrument output is highly rated for that narrow use case. If your need is portfolio-level analysis across linked brokerage accounts with conversational discovery of US securities, Magnifi covers that workflow. Opes Borsa is the stronger fit when cross-asset conversational research and a live signal layer accessible from mobile are both required.
The best mobile AI research assistant for on-the-go investors must deliver the full analytical capability from the phone without a desktop requirement, with a conversational interface grounded in live data. Opes Borsa's Luna operates inside a live signal, sentiment, and research architecture on iOS and Android, covering equities across five markets plus commodities, forex, and crypto. Barebone AI leads on per-stock depth for US equities on mobile; Magnifi leads on conversational discovery and portfolio integration for US securities.
