The headlines that actually moves markets

Tired of missing the trades that actually move markets?

Whether you’re a casual trader or a serious investor, it’s everything you need to know before making your next move.

Join 200K+ traders who read our 5-minute premarket report to see which stocks are setting up for the day, what news is breaking, and where the smart money’s moving.

^{_{By joining, you’ll receive Elite Trade Club emails and select partner insights. See Privacy Policy.}}

• Screens narrow chaos into manageable candidates

• Price drops alone don’t signal opportunity

• Analyst conviction helps filter false bargains

• AI accelerates pattern-finding, not decision-making

• Screening is triage, not stock picking

The Reframe

Most people think stock screening is about finding “cheap” stocks.

That’s not what actually works.

Price declines are common.
Recoveries are selective.

What matters isn’t how far a stock has fallen.
It’s whether informed participants still believe the business is intact.

Screens don’t tell you what to buy.
They tell you where to look next.

Used correctly, AI turns screening from guesswork into structured triage.

The Insight

A useful screen combines three signals, not one.

First, drawdown.
A meaningful selloff creates attention and potential mispricing.

Second, external conviction.
Analyst ratings and price targets aren’t gospel, but they reveal whether institutions think the selloff went too far.

Third, survivability.
Market cap, liquidity, and earnings power reduce the odds you’re just catching a falling knife.

The mistake most people make is stopping after step one.

AI helps by:

• Scanning thousands of symbols instantly

• Applying consistent filters without emotion

• Ranking results so humans can focus attention

The judgment still belongs to you.

How to Use It

This is a screening workflow, not an investing strategy.

Educational Use Only.
Not investment advice.
No recommendation to buy or sell any security.

Step 1: Define the selloff window

You’re not hunting disasters.
You’re hunting overreactions.

Role: You are a market data analyst.
Context: I want to screen U.S. equities for recent selloffs.
Task: Identify stocks down at least 20% over the past 12 months.
Universe: U.S.-listed stocks with market cap above $5B.
Output: Table with Symbol, Company Name, % Decline, Market Cap.

Step 2: Layer in analyst conviction

This filters out companies Wall Street has abandoned.

Role: You are an equity research assistant.
Context: I have a list of stocks with large price declines.
Task: Filter for stocks with majority Buy or Overweight analyst ratings.
Include: Consensus price target and implied upside percentage.
Output: Ranked table by highest implied upside.
Input List: [PASTE SYMBOLS]

Step 3: Sanity-check the fundamentals

You’re not valuing the business.
You’re eliminating obvious landmines.

Role: You are a fundamentals screening assistant.
Context: These stocks passed price and analyst filters.
Task: Add basic health metrics to assess survivability.
Include: Revenue trend, TTM EPS, debt concerns, dividend status.
Output: Simple checklist-style summary per stock.
Input List: [PASTE SYMBOLS]

ROI Prompts

Role: You are a portfolio research assistant.
Context: I want to reduce the time spent scanning stocks manually.
Task: Estimate time saved by using AI-assisted screening vs manual research.
Format: Before/After comparison with hours saved per week.

Role: You are a risk-aware investing assistant.
Context: I want to avoid common screening mistakes.
Task: Identify the top reasons beaten-down stocks fail to recover.
Format: Bullet list with warning signals to watch for.

Full Example Prompt

Role: You are an educational market screening assistant.
Context: This is for learning and research only, not investment advice.
Task:
1. Screen for U.S. stocks down 20%+ over the past year.
2. Filter for majority Buy analyst ratings.
3. Rank by highest implied upside from consensus targets.
4. Add brief notes on why each stock may be controversial.
Format: Clean table + short explanatory notes.
Disclaimer: Educational use only.

Disclaimer: Educational use only.

Bonus Prompts

Build the same screen but restrict it to one sector (e.g., healthcare or tech).

Modify this screen to exclude companies with declining revenues.

Recap & Close

• Screens don’t find winners. They reduce noise.

• Price drops matter only when conviction remains.

• AI speeds the filtering, not the thinking.

The takeaway:
Good screening is about elimination, not prediction.

One action:
Build one screen this week and stop after the shortlist. Research comes later.

AI Super Simplified is where busy professionals learn to use artificial intelligence without the noise, hype, or tech-speak. Each issue unpacks one powerful idea and turns it into something you can put to work right away.

From smarter marketing to faster workflows, we show real ways to save hours, boost results, and make AI a genuine edge — not another buzzword.

Get every new issue at AISuperSimplified.com — free, fast, and focused on what actually moves the needle.