Glossary

Exponential Moving Average (EMA)

An exponential moving average is a type of moving average that gives greater weight to recent prices, so it reacts more quickly to changes in a security's price than a simple moving average.

What Is an Exponential Moving Average?

An exponential moving average is a smoothed line on a price chart that shows the average price of a security over a set number of periods. Like a simple moving average (SMA), it helps investors filter out day-to-day noise and see the general direction of a trend. The key difference is that an EMA assigns more weight to the most recent prices and less weight to older ones. Because of this, it changes direction more quickly when prices turn.

How It Works

Each new EMA value is calculated from two inputs: the current price and the previous EMA value. The weight given to the current price is set by a smoothing factor, which depends on the number of periods in the average. A shorter period gives the latest price more influence, so the line hugs price more closely. A longer period smooths the line more and makes it lag further behind price.

The calculation is:

EMA today = (Price today × Smoothing factor) + (EMA yesterday × (1 − Smoothing factor))

The smoothing factor is commonly computed as 2 divided by the number of periods plus one. Because each older value is multiplied by a fraction again and again, the influence of past prices fades gradually rather than dropping off in a sudden step, which is why the average is called "exponential."

Why Investors Use It

Traders and analysts often use EMAs to judge trend direction. When price sits above a rising EMA, the trend is generally viewed as upward, and when it sits below a falling EMA, the trend is viewed as downward. Crossovers between a shorter-period EMA and a longer-period EMA are also watched as possible signals of a change in momentum. The EMA is a component of many other technical indicators, such as the MACD.

Limitations

EMAs are based entirely on past prices, so they lag behind events and cannot predict where a price will go. In sideways or choppy markets, they can produce frequent false crossover signals. Their responsiveness to recent data also means they can react strongly to a single unusual price move. For these reasons, an EMA is usually considered one tool among several rather than a complete basis for decisions. Understanding how it is calculated helps investors interpret what it shows and what it cannot show.

Updated October 20, 2026. For general education only; not financial, tax or legal advice.

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