Most scanners ask one question.

Is this stock moving?

One common way to answer that question looks something like this:

Price > previous price AND X-minute delta volume > Y AND RVOL > Z

There is nothing wrong with that rule.

It's fast. It's straightforward. It works.

And like many traders, I started there.

The filters do most of the thinking

The challenge is deciding where to set those numbers.

Set the volume threshold too high, and you may discover the move late.

Set it too low, and you drown in noise.

Raise the relative-volume requirement, and you might miss the early buildup. Lower it, and ordinary price fluctuations begin appearing.

Change the time window, float limit, or price range, and you get a different list.

Two traders using the same scanner can end up watching completely different stocks simply because their settings differ.

But there's another limitation.

Passing a filter doesn't necessarily explain what's happening inside the move.

Is this the first push or a late chase?

Is participation increasing or fading?

Is price moving efficiently, or struggling despite heavy volume?

Is momentum building, sustaining, or deteriorating?

A simple pass/fail rule can't answer all those questions.

Where Matakita starts differently

Matakita still considers price, volume, relative volume, and float. Those measurements matter.

But the scanner doesn't stop at a threshold crossing.

It follows new-high-of-day (NHOD) events as they unfold, evaluating each alert in the context of the developing move.

Alongside each alert, Matakita provides:

  • Continuation Score: A model-based assessment of continuation conditions.

  • Smart Tags: A quick description of the current momentum state.

  • Event history: A visible record of how conditions change from one new high to the next.

And the other widgets add different perspectives.

Signal Pulse shows where trading activity is concentrated and how buying or selling pressure is developing.

BurstROC examines short-term momentum, acceleration, and price structure.

TrendROC looks at the broader 15-minute trend.

These views don't always agree. That's intentional.

A stock can be rising while buying pressure weakens. Volume can accelerate while price struggles. A stock can reach a new high without having a particularly healthy underlying trend.

More activity doesn't always mean better momentum.

That's why Matakita isn't designed around a single yes-or-no answer.

The question becomes:

What condition is this move in right now, and how is that condition changing?

A real example: AIXI on October 16

Here's how Matakita followed AIXI during a premarket momentum sequence.

Time (ET)

NHOD Price

CumVol

RelVol

Continuation Score

08:30:42

$3.05

24,526

0.0014×

31.5

08:30:58

$3.07

24,834

0.0014×

62.1

08:31:03

$3.10

25,477

0.0015×

67.0

08:32:28

$3.16

30,203

0.0017×

75.7

08:32:45

$3.269

34,454

0.0020×

80.9

08:33:06

$3.341

47,556

0.0027×

84.9

08:33:18

$3.45

69,172

0.0040×

83.6

Source: Matakita NHOD event log, October 16, 2026. CumVol is cumulative session volume. RelVol is cumulative volume divided by average volume, not time-of-day adjusted.

At 08:30:42, Matakita detected AIXI making a new high at $3.05, with a Continuation Score of 31.5.

Just 16 seconds later, another new high appeared at $3.07.

Cumulative volume had increased by only 308 shares, yet the Continuation Score rose to 62.1, crossing the Attention Zone threshold.

As the move developed, the score climbed into the 70s and 80s.

But notice the final two rows.

Price continued higher, from $3.341 to $3.45, and cumulative volume increased from 47,556 to 69,172 shares.

Yet the Continuation Score slipped from 84.9 to 83.6.

More volume and a higher price don't automatically mean stronger continuation conditions.

There's another interesting detail.

At the first Attention Zone, AIXI had traded only 24,834 cumulative shares against an average volume of approximately 17.3 million.

Its relative-volume ratio was still extremely low.

But AIXI's reported free float was approximately 565,000 shares. That cumulative volume already represented roughly 4.4% of the float.

A fixed relative-volume threshold might overlook such early activity, depending on how it is configured.

This is why context matters.

A simple threshold can tell you when a stock meets predefined conditions.

Matakita also evaluates how those conditions evolve across successive new highs.

The score isn't a guarantee of what happens next.

It's context for understanding the move as it develops.

The Attention Zone

The Attention Zone is part of that process.

When the Continuation Score crosses its qualifying threshold, Matakita highlights the event for closer attention.

It's not a prediction that the stock will keep rising.

It's not a buy signal.

It's a way to distinguish a developing momentum condition from the thousands of ordinary price updates occurring throughout the session.

And because Matakita preserves the event sequence, you can review when the first new high appeared, when the Attention Zone activated, and what happened afterward.

That's also the philosophy behind our daily market replays.

Rather than showing only how far a stock moved during the entire session, we document the alert price and timestamp, then examine what happened over defined 5-, 10-, and 15-minute windows.

Including both favorable and adverse price excursions.

Because the path after an alert matters just as much as the eventual high.

Still your decision

None of this replaces your filters or your judgment.

Matakita helps narrow where to look and provides context for what you're seeing.

It doesn't decide your entry, exit, or risk.

Your chart. Your position size. Your risk. Your call.

Think of it as a GPS for momentum, not a trading signal.

That's the philosophy behind Matakita.

Matakita. Momentum after the alert.

P.S. Want to see how Matakita follows momentum in real time?

Try the scanner free for 7 days. No credit card required.

You can also explore our daily momentum replays:

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