AI Screener
Describe what stocks you want in plain English; Alphio AI builds a screener and returns the matches — no filter UI to fight with.
1. How to use
There are three ways in:
- Chat — type a free-form screening prompt to Alphio AI (on any page with the chat box, or at
/chat). - Home page — the AI Screener section on the PC home page (Dashboard) has Stocks, Crypto, and ETF tabs with preset screens; click a card to see its results.
- Screener pages — each preset screen has its own page (
/community-screener-plaza/<name>) with its filters and rationale, popular screeners, and an FAQ.
In chat, describe the universe you want in plain English. Alphio AI parses the prompt into a structured request, runs the screen, and returns a ranked list with the matching criteria spelled out.
Screening covers US stocks, Hong Kong stocks, crypto, and ETFs. AI Screener is available on every plan, including Free.
Examples:
- "Low-PE tech with growing revenue over the last 4 quarters."
- "Small-caps with net insider buying over the last quarter."
- "US dividend payers with payout ratio under 60% and 5-year dividend CAGR above 8%."
- "NYSE-listed industrials with rising free cash flow."
- "Trending large-cap crypto with low correlation to BTC."
Write the whole screen in one prompt
Each screener query is treated as a fresh, standalone request — it does not remember the previous list. Replying "now exclude REITs" does not filter the results you just saw; it starts a brand-new screen, which can return a different population.
So instead of narrowing across several turns, put every condition into a single prompt:
- Don't: "Low-PE tech" → "only US-listed" → "sort by momentum"
- Do: "US-listed low-PE tech with growing revenue, sorted by 1-month momentum."
Once you have a list, follow-up questions about those specific names work normally — Alphio AI answers them from per-ticker analysis rather than re-running the screen.

This page is available as plain Markdown at https://alphio.ai/docs/research/ai-screener.md. An index of every page, with a one-line summary each, is at https://alphio.ai/docs/llms.txt.