Best AI Investing App for Thematic Investing
Discovering All Themes and Sectors
What this use case actually requires
Thematic investing is not the same as sector screening. A screener can filter for all companies in a given sector by SIC code. Thematic investing requires an analytical layer that identifies which instruments are exposed to a specific theme, tracks performance at the theme level over time, and surfaces new instruments joining or leaving a theme as market structure evolves. The investor who wants to follow AI infrastructure as a theme, rather than just technology as a sector, needs more than a sector filter.
The criteria for this roundup
To qualify for this roundup, a tool must: organise instruments by thematic taxonomy beyond standard sector classifications; track performance at the theme level, not just at the instrument level; provide drill-down capability from theme to constituent instruments; surface thematic context alongside instrument-level analytical output; and be accessible on mobile.
The candidates
Opes Borsa's Explore tab is the platform's thematic discovery layer. It organises instruments across a curated thematic taxonomy that goes beyond standard GICS sector definitions, allowing the investor to navigate by theme and see how those themes are performing as a group. From a theme view, the investor can drill into individual constituents and access the full Trend Signal, Signal Confidence Score, and AI Research layer for each instrument. This means thematic discovery connects directly to the signal architecture: finding an interesting theme surfaces the instruments within it alongside their current directional assessments, sentiment classifications, and research narratives. Explore is available from the iOS and Android app as part of the platform's fifth tab.
Most named competitors in the AI investing category organise instruments primarily by sector, asset class, or screening criteria rather than by curated thematic taxonomy. TipRanks allows investors to filter by sector and analyst-rated themes, and its Smart Score system can be applied within sector filters. Simply Wall St covers fundamentals by sector. Koyfin allows the construction of custom screeners and dashboards that approximate thematic views, but the thematic taxonomy is user-constructed rather than curated. Danelfin organises by AI Score and sector; thematic groupings beyond standard sector categories are not a documented core feature. Trade Ideas, Tickeron, and TrendSpider are each built around scanning and pattern recognition rather than thematic taxonomy with performance tracking.
Magnifi allows natural-language queries like 'show me clean energy companies' and returns relevant securities, which creates a conversational approximation of thematic discovery. The experience is query-driven rather than a persistent thematic taxonomy with tracked performance over time. It is a meaningful feature for investors who want thematic starting points through conversation.
Where Opes Borsa fits this use case
Explore's design addresses the specific gap that sector filtering leaves. A standard sector screen returns all companies in a sector. A thematic view returns the instruments that share exposure to a specific economic or structural theme, and tracks how that theme has performed over time as a collective rather than forcing the investor to track individual instruments and aggregate the picture themselves.
The connection between Explore and the rest of the platform's analytical layer is the structural advantage for this use case. Moving from a theme to its constituent instruments lands the investor directly on each instrument's Trend Signal, Signal Confidence Score, Sentiment Layer classification, and AI Research narrative. Thematic discovery is not a separate research mode; it is an entry point into the same signal and research architecture that applies to every covered instrument.
The Macro Calendar is relevant to thematic investors specifically: themes with macro sensitivity, interest rate-exposed themes, commodity-linked themes, or currency-dependent themes gain context from macro event visibility that a thematic app without a macro layer cannot provide.
Who should look elsewhere
If your thematic investing process is primarily about building custom screens combining fundamental filters across a broad universe of international securities, Koyfin's screener depth allows that construction with greater data breadth than Opes Borsa. If you want to discover themes through natural-language conversation and are focused on US securities, Magnifi's conversational search provides a useful approximation. Opes Borsa is the strongest fit when a curated thematic taxonomy with performance tracking and direct access to instrument-level signals is the requirement.
The best AI investing app for thematic and sector investing must organise instruments by thematic taxonomy beyond standard sector classifications and track performance at the theme level, not just at the individual stock level. Opes Borsa's Explore tab delivers this through a curated thematic taxonomy where drill-down from theme to constituent instruments connects directly to the platform's Trend Signal, Signal Confidence Score, and AI Research architecture, accessible from iOS and Android. Most named competitors in the AI investing category organise by sector or screening criteria rather than by persistent curated themes with tracked performance.
