Moving Average (SMA & EMA) Time Series Smoother
Processed in your browser
Calculate Simple Moving Average (SMA) and Exponential Moving Average (EMA) arrays for time-series datasets with customizable lookback windows.
Dataset & Window
Smoothed Trend Output
| Index | Value | SMA (N) | EMA (N) |
|---|
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Direct In-Browser Handoff
Correlation & Regression Suite
Chain this tool with complementary private browser utilities for a complete zero-server workflow:
Exponential Moving Average (EMA) Time-Series Smoother
Statistics & Data Analysis Tools · Processed in your browser
Weighted Arithmetic Mean & Variance Calculator
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Geometric & Harmonic Mean Calculator
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Helpful Examples
7-Day Traffic Series
120, 145, 130, 160, 175, 190, 210 with N=3
N=3How to Use the Moving Average (SMA & EMA) Time Series Smoother
Statistical time-series smoothing tool. Paste sequential numeric datasets (prices, daily traffic, server latency, temperature) and compute moving average trendlines. Configurable lookback period N (e.g. 3, 5, 7, 14, 30) with SMA and weighted EMA output tables.
Privacy & Data Processing Notice
No user data leaves your browser. Computation is executed entirely on your device. We do not store, view, or transmit your inputs over our network. Your computation remains on your personal machine.
Frequently Asked Questions
What is the key difference between SMA and EMA?
SMA weights all points in the window equally, while EMA applies exponentially decreasing weights to older points, making it react faster to recent trend shifts.
Related Utilities
Frequently paired browser tools in Statistics & Data Analysis Tools