Investables.ai

Screening & comparison · Value screener

Value investing software for your stock screener that separates cheap from value

Enter a ticker · read the research card · you decide

AI research card

Stocks, ETFs, crypto, startups
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Reading market data, metrics and comparables…

Enter any ticker to see a research card

Thesis, bull and bear case, key metrics, comparables and risk flags, synthesized into one structured tear-sheet.

Thesis

Bull case

Bear case

This name is not publicly listed, so there is no market data to show. The card covers the thesis, both sides of the argument and the risk flags.

Key metrics

Comparables

Risk flags

Market data from public sources. Informational only, not financial advice. Qualitative card, no public market data for this name. Informational only, not financial advice.

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Analyst comparing two laptops side by side

Value investing is not about finding cheap stocks, it is about finding good businesses the market has mispriced. The hard part is telling the two apart, because a low multiple can mean a bargain or a value trap, and only research reveals which.

Investables.ai is built for exactly that distinction, after the screen. Run your value screen in the screener you already use, then enter each candidate on your research desk and get a card with the bull and bear case and the risk flags that separate a bargain from a trap. Investables.ai does not filter the market itself, it vets the names you bring. It is informational research to support your own diligence, not stock tips.

STOCKS ETFS CRYPTO STARTUPS

Both sides bull and bear

Risk flags on every card

The short answer

How do you screen for undervalued stocks without buying value traps?

Filter for quality before you filter for price. Screen first on stable or growing revenue, returns on invested capital above the cost of capital, manageable leverage and positive free cash flow, then sort what survives by valuation. Sorting on a low P/E first mostly surfaces companies whose earnings are about to fall. Investables.ai then writes the bull case, the bear case and the risk flags for every name you enter.

Why it works

What a value screen has to test beyond the multiple

Cheap versus value

The bear case sits next to the bull case on every name, so a bargain is distinguished from a value trap rather than confused with it.

Quality checked after the filter

Put quality filters in your screen, then let the card say where the business is strong or exposed, so the list is good businesses on sale, not just falling knives.

Vetted, not just listed

Each candidate comes with a research card and a bear case, so you vet the value thesis instead of trusting a screen.

What you get

Cheap on the screen, examined properly

A screen tells you a multiple is low. The card tells you whether it is low because the market is wrong or because earnings are about to fall, and lays out who is arguing which.

  • Works with the value screen you already run
  • A research card on each candidate you enter
  • Comparable companies to check the discount against
  • Flags the risks that mark a value trap
  • Pairs every name with a bull and bear case
NVDA NVIDIA Corp.

Thesis

Dominant AI accelerator supplier. The debate is the durability of data-center demand versus a cyclical capex peak.

Bull

CUDA moat, near-monopoly share

Bear

Customer concentration, cycle risk

1D · 1Y · 52W 10-K · 10-Q 3 risk flags

Side by side

Cheap stock or value trap and the checks that decide it

The same low multiple means opposite things depending on these six readings.

Check Genuine bargain Value trap
Revenue over five years Flat or growing Declining year after year
Gross margin trend Stable Eroding steadily
Return on invested capital Above the cost of capital Below it, and falling
Free cash flow vs net income Converting normally Cash consistently short of reported profit
Leverage Comfortable and steady Rising as profits fall
Reason for the discount Specific and temporary Structural, or nobody can name it

Informational research only. Investables.ai explains the names you bring, it does not screen, recommend or rank stocks to buy.

Why Investables.ai

Value traps announce themselves in the bear case

Most value screens fail at the same place: they cannot tell a discount from a decline. Putting the bear case beside the bull case on every name is the fastest way to see which one you are holding.

Both sides, every time

The bull case and the bear case sit side by side, so you weigh the argument instead of reading a single take. Informational only, never a recommendation.

Risks on the page

Valuation, concentration and regulatory risks are flagged explicitly, so the downside is visible up front rather than buried in a footnote.

Faster diligence

A structured first pass in seconds means you spend your time on judgement, not on gathering, across stocks, ETFs, crypto and startups.

Good questions

Questions about value screener

By putting the bear case beside the bull case. Your screen finds the low multiple, and the card for each candidate lays out why it might be cheap and what could go wrong, so a cheap but deteriorating business is flagged, not celebrated.
No. They are candidates from your own value screen, researched as informational research only. It is not personalized investment advice or stock tips, and every name comes with both sides so you can do your own diligence.

Explore more

More ways investors research with Investables.ai

Start your research with one structured card

Enter any ticker or asset and read the thesis, both sides of the argument and the risk flags in seconds. Built to make your own diligence faster. You decide, every time.

Informational only, not financial advice · past performance does not guarantee future results

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