Simple Exponential Smoothing Calculator
Smooth an ordered series with a chosen weight on the newest observation.
Your result
MATHEnter your values and select calculate.
On this page How it works & practical examples
How to use the Simple Exponential Smoothing Calculator
Keep observations in time order. The first observation initializes the level; alpha controls how much each subsequent observation changes that level.
The calculation
Worked example
For 10, 20 and 30 at α = 0.5, the smoothed sequence is 10, 15 and 22.5.
Assumptions and limits
Unlike a fixed trailing window, old observations retain declining weight. No trend, seasonality, automatic tuning or forecast accuracy assessment is included.
Common questions
Which inputs should I use?
Keep observations in time order. The first observation initializes the level; alpha controls how much each subsequent observation changes that level.
What does the result exclude?
Unlike a fixed trailing window, old observations retain declining weight. No trend, seasonality, automatic tuning or forecast accuracy assessment is included.