Smart Screener
The stock screener that
speaks your language.
Describe the setup you want — "profitable software companies growing revenue 20%+ with insider buying" — and get matching names in seconds. No filter syntax, no dropdown archaeology, no scanning a dozen sites to build a shortlist.
Natural language in
Ask for the setup, not the syntax
Every screener makes you translate an idea into its filter language. The Smart Screener works the other way: you describe the idea, and the AI translates it into precise criteria over live fundamentals, technicals, and valuation data — then shows you exactly how it interpreted you, so you can trust the results.
- Plain-English queries turned into precise, inspectable criteria
- Screens run over live market data, not a stale snapshot
- Refine conversationally — "now only ones under 20x earnings"
Grounded results
Results you can interrogate, not just sort
A hit list is the start of research, not the end. Ask the AI why a name matched, pull up its fundamentals and segment KPIs inline, or push the whole result set into a watchlist — the screener is wired into the same terminal as everything else.
- Every match is backed by the actual numbers that qualified it
- One click from a result row to the full security terminal
- Send results to watchlists or start a thesis directly
Your models, your call
Pick the AI model that fits the job
Screening runs through the same agentic loop as the rest of the platform, with your choice of frontier AI models. Use a fast model for quick sweeps and a deeper one when the criteria get subtle.
- Choice of frontier models, including the Claude family
- Same agent can build charts and theses from your results
At a glance
Plain-English screening
Describe any setup and get matching names — growth, value, quality, momentum, or all four at once.
Full manual control
Every AI-built screen is editable filter by filter. Start with language, finish with precision.
Saved screens
Keep your best screens and re-run them any time the market moves.
Straight into research
Results flow into watchlists, charts, and theses without leaving the terminal.
Frequently asked questions
- What is an AI stock screener?
- An AI stock screener lets you describe screening criteria in natural language — for example, "mid-cap industrials with expanding margins and low debt" — and translates that into precise filters run over live market data. Neural Markets shows you the derived criteria so results stay transparent and adjustable.
- Is the Smart Screener using real, live data?
- Yes. Screens run over live fundamentals, prices, and valuation data in the Neural Markets terminal — not a cached snapshot or an AI model’s memory. Every match is backed by the actual numbers that qualified it.
- Can I still build screens manually with filters?
- Yes. Every screen — AI-built or hand-built — is a set of editable criteria. Many users start with a plain-English description and then fine-tune individual filters.
- How is this different from asking ChatGPT to screen stocks?
- ChatGPT has no live market universe to screen — it can only recall or search for lists, which are usually stale and unverifiable. The Smart Screener executes real queries against live data and links every result to its underlying fundamentals.
Investment research is fragmented.
It shouldn't be.
Replace spreadsheets, scattered notes, and stale decks with a single tool.