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The number of common stocks listed on US exchanges is in the low thousands; the number an individual analyst can read with any seriousness in a working week is, in practice, between fifteen and twenty. A stock screener — sometimes called a stock scanner or stock filter — is the software tool that bridges that gap. The user defines a set of conditions (price below $10, average daily volume above 500,000 shares, [[RSI: The Relative Strength Index|RSI]] under 30, trailing earnings growth above 20%) and the screener returns the subset of the listed universe that satisfies every condition simultaneously. The function is preliminary rather than terminal: a screener generates candidates, not investments, and the analyst’s work begins where the screen ends.
The recurring problem in equity research is idea generation. Where do new candidates come from? Tip-driven sources — message boards, financial television, paid newsletters — place the analyst at the receiving end of someone else’s agenda, and the agenda generally explains more of the recommendation than the underlying numbers do. A screener inverts that arrangement. The criteria are defined by the user; the universe is sorted by the software; and the output is a list whose composition reflects the analyst’s framework rather than a third party’s incentive to publish.
This does not make a screen a substitute for [[Due Diligence: How to Research a Stock|due diligence]]. The candidates that survive the filter still require chart review, fundamental verification, and an explicit risk assessment before any capital is committed. A reasonable screen eliminates roughly nineteen of every twenty stocks the analyst would otherwise have to consider, which is most of the value it delivers; it does not deliver the twentieth as a finished investment.
The sequence is the right one: screen first, analyse second, decide third. The screener occupies position one in that order and is generally not load-bearing past it. A most-active screen, for instance, will identify stocks attracting the day’s heaviest trading activity, but the longer-term chart and the underlying fundamentals are what determine whether any of those names warrant further work.
A fundamental screen filters on financial-statement data drawn from the [[How to Read a Balance Sheet|balance sheet]], the [[How to Read an Income Statement|income statement]], and the [[How to Read a Cash Flow Statement|cash flow statement]]. The common filters and their conventional thresholds are summarised below.
| Filter | What It Measures | Example Setting |
|---|---|---|
| [[What Is the P/E Ratio?|P/E Ratio]] | Price relative to earnings | P/E < 15 |
| [[What Is Market Capitalization?|Market Cap]] | Company size | $500M – $10B (mid-cap) |
| Revenue Growth | Sales trend | > 15% year-over-year |
| [[What Is a Dividend Yield?|Dividend Yield]] | Income return | > 2% |
| Debt-to-Equity | Leverage | < 0.5 |
| Earnings Growth | Profit trend | > 20% year-over-year |
| Return on Equity (ROE) | Profitability | > 15% |
Fundamental screens are most useful to [[Value Investing: Buying Below Intrinsic Value|value investors]] and longer-horizon owners who are looking to identify financially sound businesses available at defensible multiples. A classic Graham-style configuration would specify a P/E below 15, positive trailing earnings growth, debt-to-equity under 0.5, and a dividend yield above 2%. The output is a population of solvent, dividend-paying, modestly priced companies, which is approximately the population the discipline is intended to surface.
An example may help calibrate the output. In late 2011, Moody’s Corporation traded for a stretch in the low-thirty-dollar range at a trailing P/E of roughly 14×, with operating margins above 35% and ROIC well above the cost of capital; on the available record, the company would have surfaced on a moderately strict quality-and-value screen of the period. The screen does not, by itself, render a verdict on whether the rating-agency duopoly was a defensible long-term moat or a regulatory artefact in slow erosion — that is the analyst’s subsequent work. The screen establishes only that the file is worth opening.
A technical screen filters on price-and-volume behaviour, which is to say the data visible on the chart rather than the data filed with the SEC.
| Filter | What It Measures | Example Setting |
|---|---|---|
| Price | Current share price | $1 – $10 |
| Average Volume | Liquidity | > 200,000 shares/day |
| [[RSI: The Relative Strength Index|RSI (14)]] | Overbought/oversold | < 30 (oversold bounce) |
| % Change | Today’s move | > 5% (momentum) |
| [[Moving Averages Explained|50-Day MA]] Cross | Trend direction | Price above 50-day MA |
| New 52-Week High | [[Breakout Trading: When and How to Enter|Breakout]] strength | Within 5% of high |
| [[Understanding Volume|Volume]] Spike | Unusual activity | > 200% of average volume |
Technical screens are the operating instrument of [[Day Trading: What It Really Takes|day traders]], [[Swing Trading: Capturing Multi-Day Moves|swing traders]], and [[Momentum Trading: Riding the Trend|momentum traders]]. A representative momentum configuration might require an intraday move above 5% on volume at least double the trailing 20-day average, the combination being intended as a proxy for institutional accumulation or a discrete catalyst event. A representative oversold-bounce configuration might require RSI below 30 with price holding above the 200-day moving average, on the working assumption that the selling reflects a transient dislocation rather than a durable change in the underlying business.
Simple screens generally outperform elaborate ones for the prosaic reason that adding a tenth condition to a screen of three useful conditions usually filters out the candidates the first three were intended to surface. The conservative discipline is to define the minimum filter set that expresses the strategy and to add further conditions only if the list is unmanageably long.
The more interesting screens combine the two registers. A configuration that requires both strong earnings growth (fundamental) and a recent breakout above resistance on confirming volume (technical) is attempting to identify situations in which the financial quality and the price action are corroborating one another. The logic is that of triangulation: two independent data sources pointing the same direction carry more evidentiary weight than either source carries alone, in approximately the way replication strengthens a finding in academic research.
A representative combined screen for growth-with-confirmation might read as follows:
The output of such a screen on a typical session is in the range of ten to thirty names, which is roughly the upper bound of what an individual analyst can review by hand in a sitting. The screen identifies candidates; candidates are not decisions, and the conversion from one to the other is the analyst’s work, not the software’s.
Several screeners are available to retail accounts at no charge:
The free tools have predictable limitations — delayed quotes, fewer filters, restricted alerting — but for an analyst learning the workflow they are sufficient to generate a working candidate list on a daily basis. (On a Bloomberg terminal the equivalent function is EQS, exposed with deeper data and more filter primitives, but the conceptual machinery is essentially the same as what the retail screeners surface; the differentiator is data breadth and currency, not sophistication.)
The recommended procedure is to start narrow and expand only as required by the output volume.
A representative weekly workflow at the buy-side desk level looks like this: a Sunday-evening screen surfaces eight to twelve names; most are discarded by mid-week after fundamental review; the surviving one or two are added to a watchlist and revisited monthly. The screen is the input to a process, not the process itself, and the discipline of the procedure is what produces the work product.
The recurring errors among new users are predictable enough to enumerate.
The screener occupies the first position in a longer sequence:
The function of a screener is to compress the universe to a workable size. What it does not do is substitute for the judgement that distinguishes a workable candidate from an investable one, and it is generally a mistake to ask it to.
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