All TermsIndicator

EMA (Exponential Moving Average)

An exponential moving average is a type of moving average that places greater weight on the most recent price data, so it reacts faster to new information than a simple moving average (SMA) of the same length.

Why traders use EMA

The EMA is the most-used indicator in algorithmic trading because it captures trend direction with minimal lag. The formula is recursive — each new EMA value depends on the previous one — which makes it efficient to calculate on streaming bars.

Formula

EMA = (close × k) + (previous EMA × (1 − k)), where k = 2 / (length + 1).

For a 21-period EMA, k ≈ 0.0909. Each new bar contributes ~9% to the running value.

EMA in Pine Script

pinescript

fast = ta.ema(close, 9)
slow = ta.ema(close, 21)
if ta.crossover(fast, slow)
    strategy.entry("Long", strategy.long)

Common pairings

The 9/21 and 50/200 EMA pairs are the most-used trend-following setups. See EMA Crossover for a complete strategy template.

Strategies that use EMA (Exponential Moving Average)

EMA Crossover

Two exponential moving averages — buy when the fast crosses above the slow, exit when it crosses back.

Triple EMA Trend

Three EMAs aligned — trade only when all three confirm the same direction.

ATR Trend Follow

Volatility-adjusted trend following — trail stops by ATR multiples.

Related Terms

SMA (Simple Moving Average)

The simple moving average is the unweighted mean of the last N bars — slower to react than an EMA but with smoother output.

RSI (Relative Strength Index)

The RSI oscillates between 0 and 100, measuring the velocity of recent gains vs losses to identify overbought and oversold conditions.

Crossover

A crossover happens when one series crosses above another — used as the entry signal in moving-average and oscillator-based strategies.

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