3-1 Month Momentum % - Definition, Formula & Calculator

Author:Will ShawWill Shaw
Reviewed by:Charlie TianCharlie Tian
Fact checked by:Vera YuanVera Yuan
Updated March 19, 2026

What Is 3-1 Month Momentum %?

3-1 Month Momentum % is a price-based return metric that measures how much a stock gained or lost from three months ago to one month ago, while excluding the most recent month. In other words, it captures the stock’s intermediate-term performance over a two-month window that ends one month before today.

This metric is widely used in momentum investing, where investors look for stocks that have been outperforming and may continue to do so. The reason the latest month is omitted is important: academic research has found that very short-term stock moves often show a reversal effect, meaning recent winners can underperform in the following month and recent losers can rebound. By skipping the most recent month, 3-1 Month Momentum % attempts to isolate the part of price momentum that may be more persistent.1,2

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At a practical level, 3-1 Month Momentum % helps investors answer a simple question: Was this stock already trending strongly before the latest month’s noise? That can make it useful in screening, ranking and factor-based investing strategies.

GuruFocus calculates the metric using historical stock prices and expresses the result as a percentage. The formula is straightforward:

3-1 Month Momentum %=(Price 1 month agoPrice 3 months ago1)×100%\text{3-1 Month Momentum \%} = \left(\frac{\text{Price 1 month ago}}{\text{Price 3 months ago}} - 1\right)\times 100\%

A positive value means the stock rose during that two-month lookback window. A negative value means it fell.

Key Takeaways
  • 3-1 Month Momentum % measures a stock’s return from three months ago to one month ago.
  • It intentionally excludes the most recent month to reduce the impact of short-term reversal effects.
  • GuruFocus calculates it as the percentage change from the price 3 months ago to the price 1 month ago.
  • Higher values generally indicate stronger intermediate-term price momentum.
  • The metric is most useful in combination with peer comparisons, trend analysis and other momentum measures.
  • It is a market-based indicator, not a measure of business quality, valuation or profitability.

How Is 3-1 Month Momentum % Calculated?

GuruFocus defines 3-1 Month Momentum % as the percentage return between the stock price one month ago and the stock price three months ago.

3-1 Month Momentum %=(Price 1 month agoPrice 3 months ago1)×100%\text{3-1 Month Momentum \%} = \left(\frac{\text{Price 1 month ago}}{\text{Price 3 months ago}} - 1\right)\times 100\%

Components of the formula

  • Price 1 month ago: the stock’s market price approximately one month before the current date.
  • Price 3 months ago: the stock’s market price approximately three months before the current date.
  • Percentage conversion: the ratio is converted into percentage terms by multiplying by 100.

For example, if a stock traded at $100 three months ago and $112 one month ago, then:

(1121001)×100%=12%\left(\frac{112}{100}-1\right)\times 100\% = 12\%

That means the stock posted a 12% 3-1 Month Momentum %.

Why exclude the most recent month?

This is the defining feature of the metric. Traditional short-horizon price change measures often include the latest month, but many momentum strategies deliberately skip it. The reason is that the most recent month can be distorted by:

  • short-term mean reversion,
  • earnings-related volatility,
  • temporary overreactions,
  • tax-loss selling or other flow-driven moves.

Academic studies on momentum have long documented that medium-term winners tend to keep outperforming, but very recent returns can partially reverse.1,2 Excluding the latest month is an attempt to improve the signal.

Formula variations

Different platforms may calculate momentum using:

  • total return versus price return,
  • calendar month-end prices versus rolling daily prices,
  • adjusted prices versus raw prices.

GuruFocus’s glossary definition describes the metric as the stock’s total return from 3 months ago to 1 month ago, while the displayed calculation uses the price-change formula above. In practice, investors should be aware that data vendors may differ slightly depending on how they handle dividends, splits and adjusted historical prices. When comparing across platforms, consistency of methodology matters.

3-1 Month Momentum % Trend Over Time

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A single momentum reading can be useful, but the metric often becomes more informative when viewed over time. A stock that repeatedly posts strong 3-1 Month Momentum % readings may be showing persistent relative strength, while a stock whose readings swing sharply between positive and negative may have a less stable trend.

Looking at the trend can also help investors distinguish between:

  • a one-off rebound,
  • a sustained uptrend,
  • a fading momentum signal,
  • or a stock trapped in choppy, range-bound trading.

What Does 3-1 Month Momentum % Tell You?

3-1 Month Momentum % tells you whether a stock had meaningful price strength or weakness in the intermediate period leading up to the most recent month. It is essentially a filtered momentum signal.

A high positive value generally suggests that the stock had strong prior performance and may be attracting investor interest, favorable sentiment or improving expectations. In momentum-based strategies, that can make the stock a candidate for further research.

A negative value suggests the stock declined during that period, which may indicate weak sentiment, deteriorating expectations or simple underperformance relative to peers.

Why investors use it

Investors and quantitative screens often use 3-1 Month Momentum % to:

  • identify stocks with improving price trends,
  • rank securities by relative strength,
  • build momentum factor portfolios,
  • avoid stocks with deteriorating price action,
  • compare a stock’s recent performance against its industry or sector.

The metric can be especially useful when paired with other indicators such as:

What strong or weak values may imply

There is no universal threshold for what counts as “good,” because momentum is relative. A 5% reading may be strong in a weak market but unimpressive in a broad rally. Context matters.

In general:

  • Strong positive momentum may indicate leadership, improving sentiment or trend persistence.
  • Near-zero momentum may indicate a flat or indecisive trading pattern.
  • Negative momentum may indicate lagging performance or a broken trend.

Still, momentum is not the same as value. A stock can have strong 3-1 Month Momentum % and still be overvalued, speculative or fundamentally weak.

Limitations of 3-1 Month Momentum %

Like any market-based indicator, 3-1 Month Momentum % has important limitations.

It is backward-looking

The metric only describes what happened over a specific historical window. It does not guarantee future outperformance. Momentum can persist, but it can also reverse abruptly.

It can be driven by news or temporary sentiment

A stock may show strong momentum because of a takeover rumor, a short squeeze, a one-time earnings surprise or a macro event. Those moves are not always durable.

It does not measure business fundamentals

3-1 Month Momentum % says nothing directly about Revenue growth, margins, balance sheet strength, Free Cash Flow or intrinsic value. A stock can have excellent momentum and poor fundamentals, or weak momentum and strong long-term business quality.

Cross-industry comparisons can mislead

Some industries naturally experience more volatility than others. Comparing momentum across sectors without context can produce misleading conclusions. A biotech stock and a regulated utility should not be judged by the same short-term price behavior.

Methodology differences matter

Different data providers may use slightly different conventions for:

  • adjusted versus unadjusted prices,
  • inclusion of dividends,
  • exact lookback dates,
  • holiday and month-end handling.

That means the same stock’s momentum reading may differ modestly across platforms.

It works best as part of a broader process

Momentum is often most useful when combined with other filters, such as quality, valuation, profitability or risk controls. Used alone, it can lead investors into crowded trades or late-cycle rallies.

Real-World Example

A useful way to understand 3-1 Month Momentum % is to compare a stock with strong recent trend persistence against one with weaker price action.

Suppose NVIDIA posts a high 3-1 Month Momentum % after rising sharply from three months ago to one month ago. That would suggest the stock had strong intermediate-term price strength even before the latest month. Investors might interpret that as evidence of sustained market enthusiasm, strong earnings expectations or continued institutional buying.

By contrast, if Pfizer showed a negative 3-1 Month Momentum %, that would indicate the stock lost ground during the same lookback window. Even if the stock bounced in the most recent month, the negative 3-1 Month Momentum % would tell investors that the broader intermediate trend had been weak.

That distinction matters because the metric is designed to separate ongoing momentum from very recent noise.

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In practice, investors would not buy or sell based on this metric alone. Instead, they might use it to narrow a watchlist, compare peer strength or confirm whether a stock’s trend is broad-based rather than just a one-month spike.

FAQs

What is a good 3-1 Month Momentum %?

There is no fixed benchmark. In general, a higher positive reading indicates stronger intermediate-term momentum, but the most meaningful comparison is against the stock’s peers, sector and own historical range.

What is the difference between 3-1 Month Momentum % and related metrics?

3-1 Month Momentum % measures the return from three months ago to one month ago, excluding the latest month. By contrast, a standard 3-month return usually includes the most recent month. Related measures such as 6-1 Month Momentum % and 12-1 Month Momentum % use longer lookback windows while still skipping the latest month.

Can 3-1 Month Momentum % be negative?

Yes. If the stock price one month ago was lower than the price three months ago, the metric will be negative. That indicates the stock declined over the measured period.

How should investors use 3-1 Month Momentum %?

It is best used as a screening and ranking tool rather than a standalone buy or sell signal. Investors often combine it with valuation, quality, earnings and risk measures to build a more complete view of a stock.

Related Terms
  • 14-Day RSI - A momentum oscillator measuring the speed and magnitude of a stock's recent price changes on a scale of 0–100, with readings above 70 signaling overbought and below 30 oversold conditions.
  • 50-Day SMA - The average closing price of a stock over the past 50 trading days, widely used to identify short- to medium-term price trends.
  • 12-1 Month Momentum % - The price return of a stock over the past 12 months excluding the most recent month, a classic measure of intermediate-term price momentum.
  • 6-Month Price Index - A stock's current price divided by its price six months ago, indicating whether it has appreciated or declined over that period.
  • 6-1 Month Momentum % - The price return over the past six months excluding the most recent month, capturing medium-term momentum while reducing short-term noise.

Summary

3-1 Month Momentum % is a focused momentum indicator that measures a stock’s return from three months ago to one month ago while excluding the latest month. That design is intentional: it aims to capture the part of price momentum that may be more persistent and less distorted by short-term reversal effects.

For investors, the metric can be useful in stock screening, peer comparison and trend analysis. But it should not be treated as a complete investment thesis. Like other momentum measures, it works best when used alongside fundamentals, valuation and broader market context.

Sources

  1. Jegadeesh, Narasimhan, “Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency,” The Journal of Finance (1990), https://doi.org/10.1111/j.1540-6261.1990.tb05115.x
  2. Jegadeesh, Narasimhan, and Sheridan Titman, “Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency,” The Journal of Finance (1993), https://doi.org/10.1111/j.1540-6261.1993.tb04702.x
  3. Fama, Eugene F., and Kenneth R. French, “Dissecting Anomalies,” The Journal of Finance (2008), https://doi.org/10.1111/j.1540-6261.2008.01371.x
  4. AQR Capital Management, “Momentum,” https://www.aqr.com/Insights/Research/Alternative-Thinking/Understanding-Momentum
  5. Corporate Finance Institute, “Momentum Investing,” https://corporatefinanceinstitute.com/resources/career-map/sell-side/capital-markets/momentum-investing/
  6. Investopedia, “Momentum Investing,” https://www.investopedia.com/terms/m/momentum_investing.asp