Hey everyone,

I've been getting questions about how to actually use the stock picks we publish here, so I figured I'd break it down properly. Fair warning — I'm dyslexic 🤮, so if the formatting annoys you, the AI helps me with the wording. The numbers and the data are untouched though, that's all from the system.

What are these scanners anyway?

We run a bunch of automated scanners every trading day against a filtered universe of US-listed stocks. Think of them as filters that sift through thousands of tickers and spit out a shortlist based on specific technical criteria. Right now we have:

• EMA crossover scanners (EMA10/EMA30, EMA10 x Price x MACD) — these catch momentum shifts when short-term moving averages cross over longer-term ones. The EMA10 x Price x MACD one is stricter: it needs both the price crossing above EMA10 and the MACD line crossing its signal line on the same day. Fewer signals, but higher conviction.
• Momentum swing scanners — several flavors: breakout standard, aggressive momentum, explosive volume breakout, large-cap only, sector-specific (tech, healthcare), quality low-vol, high-beta, ultra-tight breakout. Each one tunes the sensitivity and risk profile differently.
• SMA crossover (SMA20/SMA50) — slower signals, more suited for position trading.
• Dip bounce / reclaim — catching oversold bounces.
• Undervalued scanner — value-oriented picks (we're updating this one currently).
• Volatility squeeze — stocks coiling up for a potential big move.

👉 The rank does NOT mean "this stock will go up the most"

This is probably the biggest misconception. When you see a table like this (from our Apr 13 EMA10 x Price x MACD scan):

The rank here is sorted by RSI — lower RSI = more oversold. DOCS at #1 doesn't mean it'll outperform ADBE at #9. It just means DOCS was the most oversold stock that triggered the dual crossover signal that day. Different scanners rank by different things (momentum score, volume thrust, RSI, etc.)

So how do you actually use this stuff?

Here's my workflow. Feel free to steal it or adapt it:

Step 1 — Check which sectors are running pre-market. Every stock in our tables has a Sector tag. On Apr 13 for example, Technology dominated with 11 out of 24 signals in the EMA crossover scan. If you check pre-market and Tech is booming that day, the Tech picks from the list are more likely to ride that wave. The sector tide lifts the boats in it.

Step 2 — Don't use these as a single source of truth. I genuinely mean this. EMA/SMA/momentum scanners are confirmation tools, not standalone trade signals. Use them alongside whatever strategy you already like. Got a stock on your watchlist? Check if it showed up in one of our scans. Running your own chart analysis? See if the momentum scanner agrees. That's the sweet spot.

Step 3 — Look at the supporting data we bundle in. Every pick comes with context that we package for you:

• Insider activity — Are insiders buying or selling? On Apr 13, APP had $9.6M in insider selling, KTOS had $2.9M. That's worth knowing before you enter.
• Earnings proximity — ISRG was 7 days from earnings. That's a volatility bomb. Maybe you want that, maybe you don't. We flag it.
• Peer performance — How are the stock's direct competitors doing that same day? If ADBE's peers (PANW +4.3%, CRWD +6.1%, ORCL +12.7%) are all green, there's sector momentum behind it. If peers are red while the stock is green, that's a different setup.
• Congressional trades — When members of Congress disclose trades in the same stocks, we include that. Senator Mullin bought ADBE, Rep. Moskowitz sold ROP. Make of it what you will.
• News — Recent headlines for each ticker. ADBE had a Seeking Alpha "Strong Buy" call and a Citi downgrade on the same day. Context matters.

Step 4 — For momentum scanners specifically, watch Volume Thrust. Our explosive volume breakout scanner flags stocks trading at 2.5x+ their average volume. On Apr 13, SYRE (Spyre Therapeutics) had a 5.2x volume thrust. That kind of volume surge often means institutional money is moving in. FORM had 2.7x. These aren't random ticks — that's real buying pressure.

👉 Who is this for? 🤔❓

Honestly — people like me. Non-professional traders who don't have 4 hours a day to run scanners, cross-reference financial data, check insider filings, and read through every earnings calendar. Maybe you swing trade. Maybe you do value investing (we have the undervalued scanner for that). Maybe you just want a second opinion on a stock you're already looking at.

Paid scanner subscriptions can run $30-$200/month. A lot of what they offer is running the same EMA/SMA/RSI/MACD filters that we run, except they charge you for it. You might be totally fine with free scanners + our analysis on top. That's the whole point of EverHint — we do the heavy lifting and publish it.

What we filter OUT (our stock Universe) 🔍

Not everything makes it into the scanners. We exclude:

• Penny stocks
• OTC / over-the-counter stocks
• Junk stocks (crypto-adjacent, pump & dump history)
• Non-US major exchange stocks
• Delisted or suspended tickers
• Stocks that recently bounced in and out of "junk" status
• Small market cap (we used to run an ultra-small-cap scanner, might bring it back)

What's left is a clean universe of legitimate, liquid, US-listed stocks on NYSE, NASDAQ, and AMEX. Every stock in our scans has a minimum average daily trading volume ($25M-$40M+ depending on the scanner) and an earnings buffer (7 days before/after earnings are excluded to avoid pure gambling on earnings surprises).

Bottom line

These are numbers coming from actual market data with known technical filters applied. The system does the scanning, packages the supporting context (insider, earnings, peers, news, congressional activity), and publishes it. The AI helps with wording the posts — not with generating or manipulating the numbers.

It's a DIY kit. We give you the shortlist and the tools. You assemble the trade setup that works for you.

👉 Not a crystal ball. Not financial advice. Just data.

Questions? Drop them below. I read everything.

— Vlad, Founder, EverHint

https://www.everhint.com | Disclaimer | FAQs