Key Takeaways
- Stock screeners are tools that let you filter thousands of stocks by criteria like valuation, growth, dividend yield, sector, and technical signals.
- Start with clear goals, value, growth, income, or momentum, and pick 3, 6 core filters that match that goal.
- Combine fundamental and technical filters to improve idea quality: fundamentals identify candidates, technicals help with timing.
- Use market-cap and sector filters to control risk and focus your research on a manageable universe.
- Avoid common mistakes: overfitting filters, ignoring liquidity, and assuming every screener result is a buy signal.
Introduction
A stock screener is an online or software tool that searches the market for companies meeting specific criteria. Instead of manually scanning hundreds of tickers, you specify filters (for example, P/E ratio or dividend yield) and the screener returns matching stocks.
For investors, screeners accelerate idea generation and focus research. They help you discover stocks you might otherwise miss and organize opportunities around a strategy such as value, growth, or income.
In this guide you will learn what screeners do, which filters matter, how to build a repeatable screening process, and practical examples using real tickers. By the end you’ll be able to create effective filters that generate a shortlist of stocks worth deeper research.
What Is a Stock Screener and Why Use One?
At its simplest, a screener filters a list of stocks using rules you set. Common sources include broker platforms, financial websites, and dedicated tools. Screeners can handle basic queries (market cap > $10B) to complex multi-condition searches (P/E < 20 AND revenue growth > 10% AND RSI < 30).
Using a screener saves time and removes bias from initial idea generation. Rather than relying on headlines or tips, you can systematically search for companies that match objective criteria tied to your investment plan.
When a Screener Helps Most
Screeners are especially useful for these tasks:
- Finding stocks in a specific sector (e.g., healthcare or technology).
- Searching for valuation bargains using P/E, P/S, or EV/EBITDA ratios.
- Locating dividend-paying companies with certain yield and payout ratios.
- Discovering momentum candidates using technical filters like moving averages and RSI.
Key Screening Criteria (What to Filter For)
Decide your investment goal first: value, growth, income, or momentum. Each goal relies on specific filters. Below are the most common and why they matter.
Fundamental Metrics
Fundamentals measure financial health and valuation. Beginners should learn a few simple ratios:
- P/E (Price-to-Earnings): Price divided by earnings per share. Lower P/E can indicate cheaper stock relative to earnings, but differences across industries matter.
- P/S (Price-to-Sales): Useful for companies with low or negative earnings. A P/S under 2 can be attractive in some sectors.
- EV/EBITDA (Enterprise Value / Earnings before Interest, Taxes, Depreciation, Amortization): Better for comparing firms with different capital structures.
- Revenue and EPS growth: Look for consistent positive growth for growth strategies (e.g., revenue growth > 10% annually).
Dividend Filters
If you want income, filter by dividend yield and payout ratio:
- Dividend yield (annual dividend / price): A starting point might be >2% for income focus, but very high yields can be risky.
- Payout ratio (dividends / net income): Lower ratios (<60%) often indicate sustainable dividends.
Technical Filters
Technical filters help with timing and trend identification:
- Moving averages (50-day, 200-day): Price above the 200-day MA can signal a long-term uptrend.
- Relative Strength Index (RSI): RSI below 30 is often considered oversold; above 70 is overbought.
- Volume: Use average volume >500K or >1M to ensure liquidity for trade execution.
Market Cap and Sector Filters
Market capitalization and sector selection control risk and focus. Market-cap categories commonly used:
- Large-cap: >$10 billion, typically more stable.
- Mid-cap: $2, 10 billion, mix of growth and stability.
- Small-cap: <$2 billion, higher growth potential, higher volatility.
Sectors let you bias toward industries you understand or believe will outperform. For example, filter for consumer staples if you want defensive companies during economic uncertainty.
How to Build a Repeatable Screening Process
A good screening process is simple, goal-driven, and repeatable. Follow these steps to turn a screener into a research engine.
- Define your goal: value, growth, income, or momentum. Write down the objective clearly.
- Pick 3, 6 core filters that align with the goal. Too many filters can remove good ideas; too few yields too many.
- Apply market-cap and liquidity constraints to avoid thinly traded stocks.
- Run the screener, then manually review the top 10, 30 results to validate quality.
- Use additional checks: recent news, earnings trends, and analyst ratings as context for deeper research.
Example: A Simple Growth Screener
Goal: Find midsize growth companies with stable earnings growth.
- Market cap: $2B, $20B
- Revenue growth (3-year average): >15% per year
- EPS growth (3-year average): >10% per year
- P/S ratio: <5 (to avoid extreme valuations)
- Average volume: >500K
Run these filters on a screener and review the list. You might find names like $NFLX or $UBER depending on criteria, but remember these are starting points for deeper analysis.
Example: An Income Screener
Goal: Find stable dividend payers with reasonable yields.
- Market cap: >$5B
- Dividend yield: >2.5%
- Payout ratio: <60%
- 3-year dividend growth: positive
Results could include household names such as $KO or $JNJ, but always check the payout history and cash flow to ensure sustainability.
Real-World Examples and Walkthroughs
Below are two concrete examples showing a screener in action with numbers. These are illustrative, not recommendations.
Example 1, Value Search
Filters used:
- P/E ratio: <15
- P/S ratio: <1.5
- Market cap: >$3B
Outcome: The screener returns a manageable list (often 20, 100 names). You then check these companies’ recent earnings, debt levels (debt/equity), and free cash flow trends. A company with low P/E but rising debt could be risky, while one with strong cash flow may be worth deeper study.
Example 2, Momentum + Fundamentals
Filters used:
- Price above 50-day and 200-day moving averages
- RSI between 40, 70 (to avoid overbought extremes)
- Revenue growth >10% year-over-year
This returns stocks showing upward trends but still with fundamental growth. Combine this output with news checks to ensure positive catalysts like product launches or expanding margins.
Tools and Where to Screen
Many platforms offer screeners. Popular free options include broker platforms and financial sites like Yahoo Finance or Finviz. Paid tools (e.g., StockAlpha, TradingView, Screener.co) add custom metrics and faster data.
When choosing a screener, prioritize data accuracy, update frequency, and ease of exporting results. Liquidity and exchange coverage can vary between tools, so test a few to find one that fits your workflow.
Common Mistakes to Avoid
- Overfitting filters: Creating too-specific filters can return zero results or only historical anomalies. Use broader starting criteria and refine gradually.
- Ignoring liquidity: Low average volume makes it hard to buy or sell without big price moves. Apply a minimum average volume filter (e.g., >500K).
- Relying solely on screener output: Screeners generate ideas, not buy signals. Always perform qualitative research after screening.
- Chasing historical performance: High past returns or revenue growth don’t guarantee future results. Look for sustainable drivers and recent changes.
- Using outdated or incorrect data: Check the data timestamp. Earnings, splits, and delistings can alter results quickly.
FAQ
Q: How often should I run my stock screener?
A: It depends on your timeframe. For long-term investors, a monthly or quarterly run is sufficient. Active traders may screen daily for new technical setups. Align frequency with your investment horizon.
Q: Can I rely only on technical filters when screening?
A: Technical filters help with timing but don’t reveal financial strength. Combining technicals with key fundamentals (like revenue trends and debt) reduces risk and improves decision quality.
Q: What minimum data should I require to avoid bad matches?
A: At minimum, require a reasonable market cap (e.g., >$300M), average daily volume (>100K, 500K), and up-to-date financials. These help ensure sufficient liquidity and available information for research.
Q: Are free screeners good enough for beginners?
A: Yes. Free screeners often provide core filters needed for most beginner strategies. Paid screeners add speed, historical backtesting, and advanced metrics, useful as your needs grow.
Bottom Line
Stock screeners are powerful tools for turning broad markets into focused research lists. Start by defining your goal, value, growth, income, or momentum, and choose a small set of filters that align with that objective.
Combine fundamental and technical filters, control for liquidity and market-cap, and treat screener results as starting points for deeper qualitative analysis. With a repeatable process and periodic review, screeners can greatly improve idea generation and keep your research efficient.
Next steps: pick a screener, set a simple 3, 5 filter strategy that matches your goals, and test it on a small watchlist. Refine filters over time based on what produces the highest-quality ideas.



