Direct Answer

The number of issues making new highs minus the number making new lows in one session. It is the daily building block of cumulative net new highs and other high-low breadth series. Positive values mean leadership is expanding and negative values mean more stocks are breaking down than breaking out.

By Swoopr Editorial Team AI-assisted research, human-verified

Net New Highs: Formula, Meaning, Signals, Examples and How to Use It

How Is Net New Highs Calculated?

The number of issues making new highs minus the number making new lows in one session. It is the daily building block of cumulative net new highs and other high-low breadth series.

Formula: Net new highs = new highs - new lows

Inputs:

Worked example. With 85 new highs and 30 new lows, net new highs are 55. The inputs are illustrative numbers, not market data.

Reading it. Positive values mean leadership is expanding and negative values mean more stocks are breaking down than breaking out. Analysts compare readings with price to see whether new highs in an index come with broad support.

Limits. The raw count is not scaled by the number of listed issues. A 52-week window also means the readings after a crash can be dominated by lows that are lows only because of the lookback.

What is Net New Highs?

The number of issues making new highs minus the number making new lows in one session. It is the daily building block of cumulative net new highs and other high-low breadth series.

How to use Net New Highs

Positive values mean leadership is expanding and negative values mean more stocks are breaking down than breaking out. Analysts compare readings with price to see whether new highs in an index come with broad support. A reading alone is never a buy or sell signal; it needs context from price structure, volume, volatility and the broader market regime.

Strengths

Weaknesses and limitations

Editorial and risk note

This page is educational content, not individualized investment advice. It should not imply guaranteed prediction, accuracy or outperformance.

Frequently Asked Questions

Is Net New Highs a buy or sell signal?

No. Positive values mean leadership is expanding and negative values mean more stocks are breaking down than breaking out. The raw count is not scaled by the number of listed issues. A trade built on it still needs a trigger, an invalidation rule, a position size and realistic execution assumptions.

What is the best setting for Net New Highs?

Net New Highs is computed from new 52-week highs for the session; new 52-week lows for the session, so the choices that matter are the data convention and the window it is read over. Test those across instruments, regimes and out-of-sample periods instead of fitting one historical winner.

Can Net New Highs be used by itself?

The raw count is not scaled by the number of listed issues. A 52-week window also means the readings after a crash can be dominated by lows that are lows only because of the lookback. For that reason it is read next to measures of direction, participation, valuation, liquidity and risk, not alone.

Does Net New Highs work on every timeframe?

The calculation (Net new highs = new highs - new lows) can be run on any bar size, but behavior is not portable: a reading on a five-minute chart describes a very different market window from the same reading on a daily chart. Validate the exact timeframe before relying on it.

Why does Net New Highs give false signals?

Because it nets the two counts, a day with 300 highs and 280 lows reads like a day with 30 highs and 10 lows, though the underlying activity differs. The count is event-based, so a stock that sits at its high for a week is counted only on days it prints a new high, not while it merely stays near it. Lag, noise and regime changes add to this, because market participants react to new information after the reading is calculated.

How should Net New Highs be backtested?

Rebuild Net New Highs from new 52-week highs for the session using point-in-time data, write the rules before testing, include delisted securities where relevant, model realistic fills and costs, reserve a validation sample and compare with a simpler baseline.

Swoopr Editorial Team

The Swoopr Editorial Team produces independent investment education, research, and tools for understanding markets, evaluating opportunities, and managing risk. All content is educational only and does not constitute personalized investment advice.

See our editorial policy and corrections policy.