Type what you are looking for in plain English and get the filters built for you. How natural‑language screening works, what it can and cannot filter, and how to check the result.
The second step is the one people skip. An AI screener is only as good as its translation of your sentence, so the filters, not the sentence, are what you are really running.
Request: “US large-cap tech stocks with P/E under 30 and beta below 1.2, highest analyst upside first.” Exent builds:
| Part of the sentence | Filter applied |
|---|---|
| stocks | Asset type: stocks only (no ETFs) |
| US | Exchange: US exchanges |
| tech | Sector: Technology |
| large-cap | Market cap: $10 billion or more |
| P/E under 30 | P/E: maximum 30 |
| beta below 1.2 | Beta: maximum 1.2 |
| highest analyst upside first | Only stocks with positive median analyst upside, sorted by it, highest first |
The filters appear as chips above the results. Remove one, change a number, or add a filter by hand and the list updates. Read more about what a price target is, and how often targets are right, in price target and are analyst price targets accurate?
| Group | Filters |
|---|---|
| What and where | Asset type (stocks, ETFs, crypto, indices, commodities), region or exchange, sector, industry, specific tickers |
| Size and trading | Market cap, price, daily change, share volume, dollar volume |
| Valuation | P/E, EV/EBITDA |
| Risk | Beta, maximum drawdown over 1, 3, 5 or 10 years |
| Trend | RSI, price above or below the 200-day average, moving averages |
| Analysts | Upside to the median, consensus, high and low price targets |
| Exent labels | Wealth Generating, Wealth Preserving, Prospect, Risky |
| Output | Sort order and “top N” results, up to 100 |
Size words map to fixed market-cap bands:
| Word | Market cap |
|---|---|
| Nano cap | Under $50 million |
| Micro cap | $50 million – $300 million |
| Small cap | $300 million – $2 billion |
| Mid cap | $2 billion – $10 billion |
| Large cap | $10 billion and up |
| Mega cap | Over $200 billion |
Regions such as “US”, “European”, “Asian” or “Latin American” become the full list of exchanges in that region. Saying “stocks” keeps ETFs out unless you ask for them.
Treat the list as research candidates. Exent lets you save the screen as a preset and save the results as a portfolio, which you can then run through Portfolio Analysis to see how the names move together and how they behaved in past crashes. The screener sits in Stocks Radar next to analyst rankings and Gems, the stocks where several top‑rated analysts agree. For how analysts are rated, see how to follow Wall Street analysts.
Type what you want in one plain-English sentence, check the filters the AI builds, adjust any that are wrong, then sort and save the screen.
It is faster to set up, not smarter. The results come from the same data and filters you could set by hand, so the quality depends on checking the filters.
No. It narrows a universe to stocks that match your rules. Deciding what to own still needs your own research.
A market value of $10 billion or more. Mega cap means over $200 billion, mid cap $2 billion to $10 billion.
Exent tracks 4,000+ analysts, keeps only the elite few with proven records, and surfaces the Gems where they agree.
Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.