You do not need paid software to find candidates. Free screeners and scanners filter the whole market against rules you set -- price, volume, movement -- and hand back a candidate list in seconds. Surveys find about 78 percent of retail traders already use a screener, yet only around 34 percent feel confident they are using the right filters. The gap is not the tool; it is knowing which conditions to read and in what market environment. Educational, not advice.
How free market-scanning actually works
- A screener filters the whole market against your rules — A screener runs on demand and returns every name matching the conditions you set -- a price range, a minimum volume, a size band. It replaces scrolling through thousands of names with a candidate list in seconds. Free tiers on widely used platforms include more than enough filters for most retail needs; the paid upgrade mostly adds speed and real-time data, not better logic.
- Define your universe first -- it removes most of the noise — The single highest-leverage step is narrowing the universe before any strategy filter: setting a price floor, a minimum average volume, and a size band. Practitioners note this alone eliminates roughly 70 percent of the market as noise, so what remains is tradeable and liquid. Most people skip this and drown in results.
- Screener versus scanner -- two different jobs — A screener filters on conditions that do not change during the session, like size or longer-run averages, and you run it on demand. A scanner watches the market live and flags names as they meet conditions -- volume spikes, gaps, fresh movement. Free versions of both exist; knowing which job you need keeps you from paying for the wrong one.
- The tool finds candidates -- the environment decides what they mean — A scan returns names, not answers. The same breakout candidate behaves differently in a calm range than in a strong trend, so the market environment is what tells you whether a scan result is worth a closer look or noise. This is the layer most free-tool guides leave out entirely -- and the reason two people running the same scan reach opposite conclusions.
Do I really need to pay for a stock scanner?
For most retail needs, no. The free tiers of widely used platforms include the core filters -- price, volume, size, basic technical conditions -- that handle the large majority of scanning. Paid tiers mostly add real-time data speed and heavier automation. The thing that actually improves results is not a pricier tool; it is defining your universe well and reading candidates inside the right market environment. Educational, not advice.
Why do free scanners feel overwhelming?
Because most people run them without narrowing the universe first, so the tool returns hundreds of names and every one looks equally plausible. Setting a price floor, a volume minimum, and a size band before any strategy filter removes most of that noise. The overwhelm is a setup problem, not a tool problem. Educational, not advice.
What is the difference between a screener and a scanner?
A screener filters the market on demand against conditions that hold across the session -- size, longer averages, valuation -- and returns a list. A scanner monitors live and flags names the moment they meet real-time conditions like a volume spike or a gap. Faster traders lean on scanners; longer-horizon ones lean on screeners. Free versions of both exist. Educational, not advice.
How do I know if a scan result is worth watching?
That comes down to context, not the scan itself. A name that clears your filters still has to be read against the wider market environment -- trending or ranging, calm or volatile -- because the same setup means different things in each. That environment read is exactly what the free daily read publishes in plain English, every trading day. Free, educational, not advice.
The current numbers behind this reading
The macro regime above is read from public economic data. Here are several of the underlying releases, each shown with its original source and release date:
- According to the U.S. Bureau of Labor Statistics, consumer price inflation was 3.4% year over year as of August 2026.
- According to the U.S. Bureau of Labor Statistics, the unemployment rate was 4.1% as of August 2026.
- According to the Federal Reserve, the federal funds rate was 3.63% as of August 2026.
- According to the University of Michigan, consumer sentiment was 55.2 as of July 2026.
- According to the U.S. Treasury, the 10-year Treasury yield was 4.95% as of September 10, 2026.
- According to the Federal Reserve (ICE BofA U.S. High Yield index), the high-yield credit spread was 270 basis points as of September 10, 2026.
- According to the Federal Reserve Bank of Atlanta, the Atlanta Fed's real-time GDP growth estimate was 4.4% annualized as of July 1, 2026.
Given Analytics reads this combination of published conditions as stagflation strong — 16 of 21 tracked economic series agree with that reading. That is a description of the environment already visible in the data, updated every trading day. It says nothing about what happens next.
What was actually missing
If the question that brought you here has ever cost you — the trade that reversed, the setup that looked right and wasn't — the thing that was missing usually isn't a better indicator. It's seeing what's actually happening underneath, live, while it happens.
That's what Given shows you, free, every trading day: real symbols going active in live markets — at the price, as it happens — which sectors are leading, and the plain-English read of what's driving the move. You watch it live, and you learn to read it yourself.
The Morning Brief and daily video are free every trading day — no credit card, for the first 500 founding members. Watch it before you risk a dollar. You decide.
What this teaches — and who it's for
Given's model is built to teach one thing: how to read the market environment on a swing timeframe — the regime that sets the backdrop across days and weeks, not the next intraday tick. On the live Desk you watch real symbols in real time, as the conditions form, and learn to read the environment you're holding into — in plain English, on your own screen. It's education for swing traders, and anyone holding positions across days and weeks. What you do with what you see is up to you. You watch, you learn, you decide.
Watch a model read the market — live
You’ve just read the why. Now watch the math work: a model reads 407 symbols every trading day and shows you, in plain English, what it’s seeing — the moment it sees it. Every result it records is published, win or lose — the whole record, nothing hidden.
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How current is this page?
This page was last reviewed on September 14, 2026; the economic figures above each carry their own official source and release date and are refreshed on a recurring cadence. The daily Morning Brief and the daily video, both free, carry the current reading in plain English. Founding access is free to try — no credit card — for the first 500 members.
Educational and informational only. Not investment advice. Given Analytics is not a registered investment adviser. Past mathematical conditions are not indicative of future results.