Guides
How to Use a Stock Screener: 7-Step Guide

A stock screener can turn thousands of securities into a manageable research list. Its value is not finding a “perfect stock,” but translating an investment idea into consistent rules and identifying what deserves deeper work.
This guide shows how to define a universe, select filters, interpret the output, and verify candidates against primary sources. Its three sample screens use explicit, educational assumptions—not recommendations or promises of performance.
Quick answer: To use a stock screener, define the question and eligible universe, add two to four filters that express the thesis, review a broad result set, tighten one condition at a time, and verify every finalist in current filings. Save the screen and its data date so you can reproduce the result.
Build your shortlist with Market Terminal. The Market Terminal Stock Screener filters thousands of stocks by fundamentals, technicals, sector, market cap, and more, with data updated throughout the trading day. Apply the process below, then verify important figures in company filings.
Table of contents
- What a stock screener does
- How to use a stock screener step by step
- How to choose useful stock screener filters
- Three example stock screens
- How to review the results
- Common stock screener mistakes
- Stock screening checklist
- Frequently asked questions
What a stock screener does
A stock screener filters a securities database by criteria such as exchange, sector, market capitalization, volume, growth, margins, valuation, or price trend. Securities passing every active rule remain in the results.
It is an elimination and discovery tool, not a decision engine. A result means only that a security matched selected fields at that time—not that the business is high quality, correctly valued, or suitable for a portfolio.
Definitions matter. “Revenue growth” may cover a quarter, trailing 12 months, a fiscal year, or an estimate. Price-based ratios can move while accounting inputs remain unchanged until another filing. Check field definitions, missing-value treatment, and data dates.
How to use a stock screener step by step
1. Start with a research question
Write one sentence describing what you want to find. For example:
“Find established U.S.-listed companies with positive cash generation, moderate leverage, and multi-year revenue growth for further fundamental research.”
Also record the time horizon, possible portfolio role, and risks to avoid. A long-term quality screen should not quietly become a short-term momentum screen because recent winners look appealing.
2. Define the investable universe
Begin with structural filters before adding financial metrics:
- Security and listing: Choose eligible security types, exchanges, and countries.
- Sector or industry: Narrow an industry thesis, or leave this open for later comparison.
- Market capitalization: Share price multiplied by total shares outstanding (Investor.gov). It separates company sizes, not quality.
- Liquidity: Average share volume or dollar volume helps gauge tradability. Investor.gov defines liquidity as the ability to trade quickly without substantially affecting price (Investor.gov).
Relate liquidity thresholds to expected transaction size and frequency. Share volume alone can mislead: one million shares at $2 represents less traded value than one million at $100.
3. Add a small set of thesis-linked financial filters
Choose two to four filters that express the question. A quality screen might combine growth, margin, cash flow, and leverage. A valuation screen might pair a multiple with profitability so deteriorating companies do not dominate.
FINRA explains that P/E divides price by earnings per share, P/S divides market cap by revenue, and debt-to-equity compares liabilities with equity. Ratios vary by industry, making peer comparison important (FINRA). For a closer look at earnings multiples, see how to interpret the P/E ratio.
Add filters one at a time and track the remaining count. If one rule reduces 500 candidates to five, test whether it reflects the thesis, missing data, or an unsuitable metric.
4. Add technical or price context only when it serves the thesis
Performance, distance from a 52-week high, relative volume, moving averages, and RSI describe market behavior—not business quality. If a screen uses RSI, first distinguish relative strength from the Relative Strength Index; the similar names refer to different concepts.
Use them only when price behavior belongs in the process. A momentum screen may require positive six-month performance; a long-term fundamental screen may need no technical filter. Unexplained signals invite overfitting.
5. Review a broad result set before tightening it
Start with loose thresholds. Sort by important variables, inspect clusters, blanks, and outliers, then tighten one rule at a time. This reveals which filter drives the result and avoids false precision: 9.9% growth is not fundamentally different from 10.1% merely because the cutoff is 10%.
6. Validate each finalist with primary documents
For U.S. public companies, use the SEC’s EDGAR search to find filings by company name or ticker. The SEC says a Form 10-K provides audited annual financial statements, material risk factors, and management’s discussion of the prior fiscal year; a Form 10-Q provides unaudited quarterly statements and updates; and a Form 8-K reports certain material events (Investor.gov).
Check the latest 10-K and later 10-Qs, recent 8-Ks, business and risk disclosures, MD&A, statement notes, share-count changes, debt terms, and cash-flow quality. The SEC’s 10-K guide identifies Business, Risk Factors, MD&A, and audited statements as core sections. A screener cannot read them for you.
7. Document the screen and the follow-up decision
Save the date, universe, thresholds, source, result count, and reason for changes. Record why each finalist advanced, moved to a watchlist, or was rejected.
For a reusable filing-to-decision process after screening, use this stock research checklist.
How to choose useful stock screener filters
Useful stock screening criteria depend on the research question. This table is a starting map, not a universal formula.
| Research goal | Possible filters | What they help describe | Main caution |
|---|---|---|---|
| Business growth | Revenue growth, EPS growth | Expansion in sales and per-share earnings | Acquisitions, cyclicality, and base effects can distort growth |
| Profitability | Gross, operating, or net margin | How much revenue becomes profit at different stages | Margin norms differ by industry |
| Cash generation | Free cash flow and its growth | Cash remaining after operating and capital needs under the provider’s definition | Working-capital timing and capital intensity can create swings |
| Balance-sheet risk | Debt-to-equity, current ratio, cash | Leverage and short-term financial capacity | Banks, insurers, and some real-estate businesses require different frameworks |
| Valuation | P/E, P/S, price-to-free-cash-flow (P/FCF), earnings yield | Price relative to an accounting or cash-flow measure | A low multiple may reflect weak or temporary fundamentals |
| Tradability | Average share volume, average dollar volume, bid-ask spread | Whether trading activity appears sufficient for the intended order | Historical liquidity can change during stress |
| Price behavior | Relative volume, multi-period performance, distance from highs, moving averages | Trend and current market participation | Price signals can reverse and do not establish intrinsic value |
Prefer complementary filters. Three similar momentum indicators may simply count one signal three times.
Three example stock screens
These examples use hypothetical thresholds to demonstrate process. They do not identify securities to buy or sell.
Example 1: Established, cash-generative growth
Assumptions: five-year research horizon; U.S.-listed common stocks; preference for established non-financial companies; intended transaction size small relative to normal trading activity.
Illustrative filters: market cap above $2 billion; average dollar volume above $20 million; three-year annualized revenue growth above 8%; positive free cash flow; operating margin above 10%; debt-to-equity below 1.5.
Why this combination: size and liquidity define the universe; revenue tests growth; margin and cash flow test operating substance; leverage sets a balance-sheet guardrail.
What to check next: whether growth was organic or acquisition-driven, whether stock-based compensation or working capital boosted cash flow, debt maturities, customer concentration, and whether the company’s margins are normal for its industry. Exclude or separately analyze financial companies because debt and working capital play different roles in their business models.
Example 2: Cash-flow value candidates
Assumptions: three-to-five-year horizon; profitable U.S.-listed non-financial, non-REIT companies; willingness to investigate cyclical businesses but not companies with negative free cash flow.
Illustrative filters: market cap above $1 billion; average dollar volume above $10 million; positive free cash flow; price-to-free-cash-flow between 5 and 20; earnings yield above 5%; debt-to-equity below 2.
Why this combination: the screen looks for companies producing cash at a bounded price while applying minimum size, tradability, and leverage constraints.
What to check next: whether current cash flow is near a cyclical peak, whether capital expenditures are being deferred, whether share count is rising, and whether contingent liabilities or lease obligations alter the debt picture. A low multiple is a prompt to ask why, not proof of a bargain.
Example 3: Fundamental momentum
Assumptions: six-to-18-month research horizon; tolerance for more price volatility; U.S.-listed stocks; goal is to find improving business results accompanied by positive market action.
Illustrative filters: market cap above $500 million; average dollar volume above $20 million; one-year revenue growth above 10%; one-year EPS growth above 15%; positive six-month price performance; price within 15% of its 52-week high; relative volume above 1.
Why this combination: growth filters seek business momentum, while performance and relative volume test whether the market is participating.
What to check next: the earnings-release date, guidance changes, one-time gains, estimate revisions, dilution, and any recent 8-K. A sharp move may reflect a temporary event, and momentum can reverse quickly.
How to review the results
Do not begin by reading the first ticker. First audit the list as a dataset:
- Check sector concentration. If most results come from one industry, the screen may be capturing an industry cycle rather than company-specific strength.
- Inspect missing and extreme values. Determine whether blanks were excluded and whether an outlier comes from a very small denominator or one-time accounting item.
- Compare like with like. FINRA notes that measures such as P/E and return on equity are most informative in an industry-peer context (FINRA).
- Separate historical facts from estimates. Label forward revenue or EPS fields clearly. Forecasts can change and should not be treated as reported results.
- Read the company, not just the row. Understand how it makes money, what can impair that model, and what assumptions the market price appears to embed.
- Return to the portfolio. Passing a screen does not resolve position sizing or concentration. FINRA explains that diversification across securities, company sizes, sectors, and geographies can reduce the risk of over-emphasizing one security or segment (FINRA).
Common stock screener mistakes
- Starting with filters instead of a question. Random criteria produce random-looking lists.
- Using too many filters. Every added condition raises the risk of overfitting past characteristics and excluding viable candidates.
- Treating cutoffs as economic truths. Small differences around a threshold rarely justify different conclusions.
- Comparing ratios across incompatible industries. Capital structure, accounting, margins, and reinvestment needs vary widely.
- Confusing a low share price with cheap valuation. Share price says nothing about total company value without share count; use market cap and valuation measures.
- Ignoring liquidity and spreads. Low-volume securities may be costly or difficult to trade, especially during volatile periods.
- Mixing reported data with estimates. Historical results and forecasts answer different questions.
- Ignoring data dates and definitions. A live price paired with older financial statements is not a fully live valuation picture.
- Buying directly from the results page. A screen cannot reveal all material risks, accounting notes, legal issues, or management context.
- Forgetting portfolio fit. A strong standalone candidate can still worsen sector, factor, or single-stock concentration.
Stock screening checklist
- Write the research question and time horizon.
- Define eligible security types, exchanges, countries, and sectors.
- Set size and liquidity rules appropriate to the intended research universe.
- Choose two to four fundamental filters that express the thesis.
- Add technical filters only when price behavior is part of the thesis.
- Record field definitions, reporting periods, and data timestamps.
- Add filters one at a time and track the result count.
- Inspect sector concentration, missing values, and outliers.
- Compare finalists with relevant industry peers.
- Verify reported figures in the latest 10-K, 10-Q, and recent 8-Ks.
- Read risk factors, MD&A, financial statements, and footnotes.
- Separate reported results from analyst or company estimates.
- Document the reason to advance, monitor, or reject each candidate.
- Evaluate position and sector exposure at the portfolio level.
Frequently asked questions
What is a stock screener?
A stock screener returns securities matching selected criteria such as sector, market cap, growth, valuation, volume, or price performance.
What are good stock screener filters for beginners?
Start with a defined universe, one size or liquidity rule, and two or three metrics tied to one idea. For example: revenue growth, positive free cash flow, and leverage. Verify every field’s calculation.
How many filters should I use?
Use the fewest filters that express the thesis. Three to six distinct rules are often clearer than a dozen overlapping conditions, but no number is universally correct.
Can a stock screener predict which stocks will rise?
No. It matches securities to data rules; it cannot reliably predict prices, eliminate risk, or replace business, valuation, filing, and portfolio analysis.
Should I use fundamental or technical filters?
Fundamental filters address business performance, financial condition, and valuation. Technical filters address price, volume, and trend. Combine them only when each has a defined role.
How often should I rerun a stock screen?
Match the schedule to the strategy. Fundamental screens may align with quarterly reporting; price or volume screens may run more often. A new result still requires investigation.
Why do different screeners show different results?
Providers differ in data sources, updates, fiscal conventions, missing-value treatment, estimates, and formulas. Compare definitions and verify important figures in filings.
Related research guides
- Stock Research Checklist: A Repeatable Due-Diligence Workflow
- P/E Ratio Explained: Formula, Meaning, and Limitations
- Relative Strength vs. RSI: What Each Indicator Measures
- How to Find Breakout Stocks With Volume Confirmation
- How to Use an Earnings Calendar for Stock Research
Sources
- Market Terminal, “Stock Screener”
- U.S. Securities and Exchange Commission, “Search Filings”
- Investor.gov, “Using EDGAR to Research Investments”
- Investor.gov, “How to Read a 10-K”
- Investor.gov, “Market Capitalization”
- Investor.gov, “Liquidity (or Marketability)”
- FINRA, “Evaluating Stocks”
- FINRA, “Financial Performance Metrics Every Investor Should Know”
- FINRA, “Asset Allocation and Diversification”
This article is for educational and informational purposes only. It is not investment advice or a recommendation to buy or sell any security. All investing involves risk, including possible loss of principal.
Market Terminal Research


