Screeners
Sortable tables of stocks and crypto — click any column header to rank by that metric.
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A screener takes every listed company and throws away the ones that do not match numbers you picked. That is the entire function. It is worth being blunt about, because the way screeners are usually presented implies something closer to a search for good investments, and that is not what is happening.
Nothing that comes out the other end is a recommendation. It is a list of companies that happen to match arithmetic you chose. Whether that arithmetic described anything worth owning is a separate question, and the screen has no opinion on it.
Which makes the useful question not "what does the screen say" but "what did I actually ask for". Most bad screening is a bad question answered accurately. The order we teach this in — statements first, ratios last — is Fundamental Analysis.
Set a screen for low price-to-earnings, high dividend yield and low price-to-book. Run it. You will get banks, utilities and energy companies, and you will get them almost every time.
That is not because those are the best investments available. It is because that combination is the ordinary financial shape of those industries. Banks carry low price-to-book because of how their balance sheets work. Utilities carry high yields because they are regulated and pay most of their earnings out. The screen did not find value. It found the shape you asked for.
This is the single most common way a screen misleads, and it is invisible from inside the results, because the results look like a discovery. Ratios are industry-specific, so any stack of ratio filters is implicitly an industry filter. If your output is concentrated in one sector, assume that is what you selected for until you have ruled it out.
Our free Fundamentals page shows current P/E, EPS growth, revenue growth and debt-to-equity by sector, so you can see how differently these numbers behave from one industry to the next.
This is the argument above, in current data. Look at how far apart the valuation and debt figures sit across sectors — then reread your screen's filters and ask which of these you were really selecting for.
Withdrawn. This showed the sector ETF table, ranked by today's move. It came from a source whose licence does not permit us to republish it, so we took it down rather than publish a number we cannot show a right to publish. We would rather have a gap here than a figure we cannot stand behind. The rest of this page runs on public-domain government data and is unchanged.
If you want somewhere defensible to begin, use this — and read the label carefully.
That is a "reasonable ordinary businesses" screen, not a "best stocks" screen — there is no such thing as the latter, and any tool presenting itself that way is telling you something about its marketing rather than its method. Sizing what you eventually buy is a separate discipline again, covered in Trading Psychology.
A screener reads a database. Everything that matters and is not in that database is invisible to it — which is most of what actually decides whether a company is worth owning.
It cannot see whether a business has a moat: something that stops competitors from copying it. Being well known is not a moat. Being able to charge thirty per cent more than an equivalent product is. No ratio captures that.
It cannot see management quality — whether the people running the company allocate capital sensibly or empire-build. It cannot see accounting policy, which is where a rising profit line and a flat cash line quietly diverge. If profit is climbing while operating cash flow is not, something in the accounting is doing work the business is not, and no screen will flag it.
It cannot see a customer concentration risk, a patent cliff, a pending legal case, or a regulator's attention. All of that lives in the filings, which is why a screen is the beginning of research. Working through those documents in order is Fundamental Analysis, and the macro backdrop they sit inside is Economics.
A filter that reduces every listed company down to those matching numeric criteria you set. It is not a recommendation engine — the output is simply a list of companies matching arithmetic you chose.
Market cap above $2 billion, debt-to-equity under 1.0, positive revenue growth. That is a "reasonable ordinary businesses" screen. It is deliberately not a "best stocks" screen, because there is no such thing.
Because ratios are industry-specific, so stacking filters is implicitly an industry filter. Low P/E plus high yield plus low price-to-book returns banks, utilities and energy nearly every time — that is the normal financial shape of those sectors, not a discovery.
Moats, management quality, accounting aggressiveness, customer concentration, pending litigation — everything that is not a number in a database. All of it lives in the filings.
Free, no account needed. Data from TradingView and may be delayed. Educational purposes only, not investment advice.
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