Stock Screener

You can screen stocks by describing your own rules in plain natural language to generate tailored results, or by applying predefined strategies like growth, value, or momentum. The screen outputs a ranked, score-based result set with key metrics.

Pre-built stock screening strategies include growth, value, momentum, dividend, and earnings beat filters. These predefined screens quickly identify top stock candidates and return matches with core metrics for rapid decision-making.

Yes, you can use natural language criteria to filter stocks for investment research. Describing your screening rules in plain language generates tailored results, reducing manual screening time for traders and analysts.

Running a screening strategy returns multi-metric insights including price, market cap, P/E ratio, revenue and earnings growth, and dividend yield. These core metrics support quick decision-making for your trading or research workflow.

Yes, stock screening is designed for building shortlists of growth and value stocks. A portfolio analyst can run these predefined screens to generate a ranked shortlist for deeper research and capture niche opportunities.

Running a custom stock screen requires real-time market data inputs and metric definitions. The system enforces your exact screen criteria to output a ranked, score-based result set.