Natural-Language Screening
Screen for companies using natural-language research questions
Translate an investing idea into supported stock-screening criteria, then investigate the resulting companies with deeper research tools.
Direct answer
A natural-language stock screener lets an investor describe a search in ordinary language and map it to available financial or market filters. Results still require validation because screening criteria and data freshness affect the outcome.
Start with an idea
Describe the type of company or financial profile you want to investigate. The system should make the interpreted filters clear instead of hiding them behind a generated result.
- Explain the interpreted criteria
- Show supported filters
- Let users refine the search
Screen US-listed equities
The screener works over US-listed equities with fundamental and technical filter support, so screens and the market data behind them stay in the same workspace as the rest of your research.
- US equities and ETF coverage
- Fundamental and technical filters
- Move from results to company research
Move from screen to research
A screener creates a candidate list, not an investment thesis. Open a company research workflow to inspect filings, financial statements, earnings, risks, and portfolio fit.
- Save candidates
- Compare companies
- Review primary evidence
Understand data limitations
Screening results depend on source coverage, refresh times, corporate actions, missing values, and the exact definition of each metric.
- Check metric definitions
- Check the data timestamp
- Avoid false precision
Avoid prediction claims
A screen can identify companies matching criteria. It cannot establish that a stock is undervalued, safe, or likely to outperform without further analysis.
- Use screening as discovery
- Review downside cases
- Document why a candidate remains relevant
Frequently asked questions
- What is a natural-language stock screener?
- It is a screener where you describe what you are looking for in plain language — for example, profitable US software companies with improving margins — and the system maps that description to concrete financial filters instead of requiring you to click through every checkbox.
- Does Ecomerate's screener cover US stocks?
- Yes. The screener works over US-listed equities with fundamental and technical filters, and results connect to the same workspace used for deeper company research.
- How current is screener data?
- Screening results depend on the underlying data source and refresh schedule for each metric. Check the data timestamp on results before acting, and re-run screens when freshness matters.
- Can a screener tell me which stocks will outperform?
- No. A screen identifies companies matching criteria today. It cannot establish that a stock is undervalued, safe, or likely to outperform — that requires further research and judgement.