Stock Scanner

August 19, 2026 · 8 min read

You searched stock scanner because you want names to trade today. That is the right job. A scanner’s job is to take thousands of stocks and hand you a shortlist. Most scanners do that with filters: RSI, volume, price vs a moving average, maybe a sector cut. Everything that passes is treated like it is equal. You still have to decide which row is the actual trade.

Quant-Builder.ai does the same job — find stocks to trade — then takes the next step. You put those same signals into a model. The model ranks the market overnight. High confidence at the top. That ranked list is the scanner now. Then you trade the names you choose from the same place.

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What a Stock Scanner Usually Is

A stock scanner is a filter board. You set cuts. Names appear. Names disappear. The board does not know if that combo ever made money. It only knows the stock cleared your rules this morning. That is why people live in scanners and still feel lost: a long list, no ranking, and you pick by feel.

From Scanner to a Model — How You Use Quant-Builder.ai

Keep the ingredients you already scan for — momentum, volume, valuation, moving averages. On Quant-Builder.ai you do not turn them into hard yes/no gates. You put them into a model. The model looks at years of those same numbers and learns which mixes lined up with the move you care about. Then every morning it ranks the market. That is still a scanner in the only sense that matters: you get a shortlist of stocks to trade. The difference is the list is ordered, and you can check how the method behaved on past days before you lean on it with real money.

You still decide. You skip names. You size what you take. You can put up to four lots on one pick if you want more than one stop and target on the same stock. After you submit, entries, limits, stops, trails, targets, and timed closes run so you are not babysitting the scanner all session.

Then You Trade the List

A scanner that stops at a table is homework. Quant-Builder.ai is built so the shortlist becomes trades. You came here looking for a stock scanner. Use the free demo at /learn and see the ranked book. Full plans are on /pricing.

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The Problem With a List That Has No Order

A scanner answers a yes-or-no question: does this stock meet my filters. Everything that passes comes back, and everything that comes back looks equally good, because a filter has no way to say that one name is a stronger candidate than another.

That is fine when four names pass. It falls apart when sixty do, which is what happens on the days the market is moving and you most want an answer. You end up eyeballing sixty charts, and whichever ones you look at first get your money. That is not a system, it is a scroll order.

What Ranking Adds That Filtering Cannot

A model does not answer yes or no. It produces a number for every stock in your universe, and that number sorts them. The practical difference is that you can take the top ten and ignore the rest with a clear conscience, because something measurable put them at the top.

It also means you can size by conviction. If the top name scores far above the tenth, that is information a filter never gave you. Scanners cannot tell you which of their hits they feel strongest about, because they do not feel anything about any of them.

Loosen the Filters Instead of Tightening Them

Scanner users tighten criteria to shrink the list to something readable. That is backwards, and it is the single most expensive habit in screening. Every threshold you add removes stocks, and you have no evidence the ones removed were the bad ones.

With a ranked output the incentive flips. A wider universe is better, because more candidates means more chances that a genuinely strong setup appears near the top. You stop pruning the input and start reading the top of the output.

Intraday Scanning vs Overnight Ranking

Real-time scanners exist to catch things happening right now — a volume spike, a breakout, a gap. If your holding period is minutes, that is the right tool and a nightly model is not.

If you hold for days or weeks, the real-time part is noise you are paying attention tax on. A model that scores the universe after the close and hands you a ranked list before the open covers that horizon better, because it had every stock and every feature to consider instead of whatever tripped an alert.

How This Works on Quant-Builder.ai

You pick a universe, pick what you want predicted and over what horizon, and train. The platform validates on data the model never saw, so you find out whether the ranking means anything before you risk money on it. Each morning it scores the universe and gives you the ranked list.

From there you set the trading configuration — position sizing, stop loss, take profit — and the exits run automatically rather than depending on you watching. That is the part a scanner was never going to do: it found names, and then handed the entire risk problem back to you.

Frequently Asked Questions

Is a stock scanner useless?

No. For intraday trading it is the correct tool. For multi-day holds, a ranked model output covers the same job with an order attached.

What is the difference between scanning and ranking?

Scanning returns everything that passes your filters, unordered. Ranking scores every candidate so the list has a top.

Why does having no order matter?

Because when sixty names pass, whichever you happen to look at first gets your capital. That is not a decision, it is an accident.

Should I use fewer filters?

With a ranked model, yes — a wider universe gives more chance a strong setup surfaces at the top. Tight filters may be removing the winners.

Do I need to code?

No. Universe, target, horizon and the trading configuration are all settings.

Where do I try it?

Free demo at /learn. Plans on /pricing.