Qullamaggie Momentum Scan now live on @SignaTrading
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The Kristjan Kullamägi “Momentum Scan” is a stock-screening approach used to find high-momentum growth stocks that are setting up for potentially explosive moves. It’s built around the trading style Kullamägi popularized: focusing on stocks making strong directional moves with institutional demand, earnings growth, liquidity, and clean technical patterns.
The idea is not to predict bottoms. It’s to identify:
Stocks already under accumulation
Stocks outperforming the market
Stocks likely entering expansion phases
Stocks institutions are piling into
This style is heavily inspired by traders like:
William O'Neil
Mark Minervini
Nicolas Darvas
But Qullamaggie simplified it into a fast scanning workflow.
Typical things his momentum scan looks for:
Strong relative strength
High volume expansion
Earnings/revenue growth
Stocks near 52-week highs
Tight consolidations after large moves
Clean trends above key moving averages
Small-to-mid caps capable of making huge percentage moves
A classic “Qullamaggie stock” often looks like:
Up 100–300% over 6–12 months
Consolidating tightly
Then breaking out on volume again
Examples historically:
NVDA in early AI breakout phases
SMCI before its vertical run
PLTR during momentum expansions
Many biotech/tech runners during hot sectors
Common scan criteria
A simplified version might screen for:
Price above:
20-day MA
50-day MA
200-day MA
Relative volume > 1.5x
ADR (average daily range) > 4–5%
20%+ revenue growth
Near 52-week highs
Market cap/liquidity thresholds
Strong relative strength vs SPY
The goal:
Find “potential leaders” before they become obvious to everyone.
Why traders use it
It finds institutional momentum
Momentum trading works because institutions cannot build positions instantly. Strong trends can persist for months.
It avoids dead money
Instead of buying “cheap” stocks making new lows, you focus on names already proving strength.
It aligns with modern markets
The biggest winners in modern markets often become MORE expensive before they become “too expensive.”
Examples:
TSLA
NVDA
AMD
Most looked “overvalued” long before their largest moves.
It helps narrow thousands of stocks into actionable watchlists
Instead of staring at charts randomly, scans surface:
Earnings gaps
Tight flags
Volatility contractions
Breakout candidates
How Qullamaggie actually trades them
He’s known for:
Buying breakouts
Buying “episodic pivots” (huge earnings/news gaps)
Adding aggressively when trades work
Cutting losers very fast
Letting winners run
The “episodic pivot” concept is one of the biggest reasons people follow his method:
A company reports a major change in fundamentals → stock gaps up massively → institutions begin repricing it for months.
Examples:
AI names after explosive guidance
Defense names after major contract wins
Cloud/software names after acceleration
Where it can help you:
Finding the NEXT AI infrastructure runner
Identifying continuation setups instead of chasing extended moves
Spotting post-earnings institutional accumulation
Finding smaller-cap sympathy plays before retail crowds in
Weaknesses / risks
This style absolutely can fail badly if:
Market breadth collapses
Momentum unwinds
You average down losers
You ignore risk management
Momentum strategies require discipline.
The hardest part psychologically:
You often buy stocks that “feel expensive.”
That’s counterintuitive for most people.
A lot of beginners misuse these scans by:
Chasing parabolic extensions
Buying late-stage breakouts
Ignoring market conditions
Overtrading low-quality setups
The best use of the scan
Not as an auto-buy system.
Instead:
Use it as an “idea generation engine.”
Then combine it with:
macro themes
earnings analysis
sector leadership
volume analysis
CMT structure
risk/reward planning
That’s where it becomes powerful.
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