StockLens is a multi-domain investment intelligence platform that synthesizes technical, fundamental, risk, sentiment, and macro signals into a single transparent composite score. Every insight is traceable to its source data and methodology.

The quantitative engine uses auditable, regression-tested math. From the same complete data and configuration snapshot, it produces the same numerical output; results can change as market or provider data and configuration change. Where the analysis contract supplies them, ranked drivers and source references show what shaped the score.

Search covers US, Canadian, European, UK, Swiss, and Japanese listings — the same markets the nightly scoring universe runs on. Search availability and nightly-score coverage are different scopes, so not every searchable listing carries a score on a given night.

Free includes 5 Analyses per month, 2 promotional Plus credits for new users, the Explainability Layer, shareable analysis snapshots, and market discovery features. No credit card is required.

Yes. Pro and Max subscribers can compare up to 5 stocks side by side using StockLens’ 5 domain scores, 6 category scores, and any prior Plus Analyses you’ve already run on those tickers.

Portfolio Intelligence monitors every holding overnight and delivers a weekly review: how your portfolio average moved, the largest rises and falls, and rating changes. Broker sync is optional.

Yes. Choose a time horizon and analysis focus, and StockLens adjusts the base calibration across all five domains. Pro and Max users can apply relative domain emphasis and available advanced controls to one on-demand analysis; the tuned result stays distinct from standard StockLens ratings and overnight scores.

Analysis runs the full 5-domain engine with explainability, an AI-written thesis and a shareable snapshot. Plus Analysis adds Economic Moat Trends, Volume Flow Proxy, Insider Analysis, Economic Scenarios, and Risk Scenarios. Both use the same auditable scoring method.

Most platforms hand you a score. StockLens shows the method: auditable scoring, ranked drivers with source and recency, and AI narrative that is evidence-graded before you see it.