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Volatility-normalized momentum

MACD-V Indicator

Short answer

MACD-V divides the difference between the 12 and 26 period EMAs by 26 period ATR, then multiplies the result by 100. The signal line is a 9 period EMA of that normalized value. Normalization makes readings easier to compare across symbols and dates, but it does not turn MACD into a price forecast.

Build MACD-V in Pine ScriptOpen the MACD calculator

Parts of the setup

MACD concept definitions and test uses
ConceptDefinitionTest use
MACD-V lineThe research formula is ((EMA 12 minus EMA 26) divided by ATR 26) multiplied by 100.Use one normalized scale when comparing momentum states across SPY, NVDA, BTCUSD, or other markets.
Signal lineA 9 period EMA smooths the MACD-V line. The histogram is MACD-V minus that signal line.Test crossovers separately from range thresholds because they answer different questions.
Momentum rangesThe published model discusses zones around minus 150, minus 50, 50, and 150.Treat the zones as classifications to validate, not automatic buy or sell levels.
ATR denominatorATR scales the EMA difference by recent price movement.Check how sudden volatility changes alter the normalized value even when the EMA difference is stable.

A rule you can put into code

  1. 1

    Calculate standard MACD

    Subtract the 26 period EMA from the 12 period EMA using the same price source for both averages.

    This preserves the direction and moving-average structure of standard MACD.

  2. 2

    Normalize with ATR

    Divide the EMA difference by 26 period ATR and multiply by 100. Define behavior when ATR is zero.

    The normalization puts momentum in relation to recent price movement.

  3. 3

    Add the signal and histogram

    Apply a 9 period EMA to MACD-V, then subtract the signal value from MACD-V.

    This keeps the familiar line, signal, and histogram structure.

  4. 4

    Test the range rule separately

    Choose one range transition, such as moving above 50 while above the signal line, and test it without adding other thresholds.

    A single transition shows whether the range model adds information beyond a normal crossover.

How MACD-V differs from standard MACD

Standard MACD is an absolute price difference. A one dollar EMA gap has a different meaning for a 20 dollar stock and a 500 dollar stock. MACD-V scales that difference by ATR, which gives the result a volatility reference.

The normalized value can be compared more directly across markets, but the denominator creates a new dependency. A jump in ATR can reduce MACD-V even if the EMA gap does not change. That behavior should be part of the test, not treated as an error.

Range labels are classifications, not guarantees

The published MACD-V framework groups values into momentum stages. Those stages can help describe whether momentum is rallying, ranging, retracing, or reversing. They do not state the next return.

A threshold strategy must define the direction of the cross, the signal-line state, the entry bar, and the exit. Without those details, a chart label cannot be reproduced in Pine Script or audited in a backtest.

  • Use completed bars for range transitions.
  • Keep ATR length fixed while testing range thresholds.
  • Compare the normalized rule with a standard MACD control.

Cross-market testing needs the same rules

Normalization is useful when the research question spans assets. Apply the same rule to SPY, QQQ, NVDA, and BTCUSD, then compare trade count, drawdown, average trade, and stability across time.

Do not choose different thresholds after seeing each chart. That removes the main benefit of a common scale and increases the risk of fitting each symbol separately.

Test templates

These examples define a research process. They are not trade calls or evidence that a setup will make money.

SPY

1D

Rule to test

Enter long when MACD-V moves above 50 while above its 9 period signal line. Exit when it falls below the signal line.

Validation

Compare with a standard MACD signal-line rule on the same dates, costs, and position size. Keep the final 30 percent untouched.

NVDA

4H

Rule to test

Classify each completed bar into the published MACD-V ranges without placing trades.

Validation

Check how often the state changes during high and low ATR periods before turning a label into an entry rule.

BTCUSD

1D

Rule to test

Test a MACD-V zero cross and a standard MACD zero cross as separate strategies with the same exit.

Validation

Compare turnover and drawdown across more than one volatility cycle. Include realistic fees and slippage.

Checks I use before accepting a result

I verify the denominator first. If ATR is missing or zero, I want the script to return a defined empty value rather than hide the problem.

When I compare SPY with NVDA, I use the same MACD-V rule on both. Changing thresholds per ticker would defeat the cross-market test.

I keep range labels and entry rules separate. A label can describe momentum without proving that a trade should be opened.

Turn the idea into an inspectable Pine Script rule

Pineify can generate the MACD-V formula, signal line, histogram, range labels, and alert conditions as editable Pine Script. The same rule can then be tested across symbols without copying code by hand.

Build MACD-V in Pine Script

Tools for the next test

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MACD Calculator

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How to Create MACD in TradingView

Learn how to create and customize the MACD indicator in TradingView using Pine Script. Covers the formula, manual coding, and no-code creation with Pineify.

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MACD Screener

Compare daily MACD histogram values and momentum states across covered symbols. Positive and negative readings are displayed around the zero line.

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Frequently asked questions

Sources and limits

Source review completed 2026-07-26.

This page is an information and indicator-testing resource, not investment advice. MACD-V range levels are research classifications, not trade recommendations or promises of returns. Backtests do not predict future performance. Trading can result in loss.