Calculator Input
Example Data Table
| Period | Observed Value | 3-Point Window | 3-Point SMA |
|---|---|---|---|
| 1 | 12 | Not enough data | — |
| 2 | 15 | Not enough data | — |
| 3 | 18 | 12, 15, 18 | 15.00 |
| 4 | 16 | 15, 18, 16 | 16.33 |
| 5 | 20 | 18, 16, 20 | 18.00 |
| 6 | 22 | 16, 20, 22 | 19.33 |
Formula Used
A simple moving average adds the values inside one window and divides that sum by the number of included points.
For a trailing 5-point average at time t, use the current value and the previous four values. For centered mode, the window spans around each target point whenever enough data exists.
How to Use This Calculator
- Enter a dataset name so your exports stay identifiable.
- Paste your ordered numeric series into the values box.
- Set the window period, such as 3, 5, or 12.
- Choose trailing or centered mode based on your analysis goal.
- Enable partial windows if you want edge averages too.
- Adjust decimals, delimiter, and label prefix as needed.
- Press Calculate SMA to show results above the form.
- Use the CSV or PDF buttons to save the calculated table.
Frequently Asked Questions
1. What does a simple moving average show?
It smooths short-term fluctuations by averaging nearby values. This helps reveal the underlying direction of a sequence without the distraction of every small change.
2. How is SMA different from a weighted moving average?
SMA gives every value inside the window equal importance. A weighted moving average assigns larger influence to selected positions, often the most recent observations.
3. When should I use trailing mode?
Use trailing mode when you want each result aligned with the current point. It is common in dashboards, finance, production monitoring, and ongoing operational reporting.
4. When is centered mode useful?
Centered mode is useful for historical analysis and smoothing when you want the average balanced around each point. It is less suitable for real-time forward-looking reporting.
5. What period should I choose?
Choose a shorter period for responsiveness and a longer period for smoother trends. The right window depends on how noisy your data is and how quickly you need trends to react.
6. Why do some rows disappear without partial windows?
Full-window mode only reports averages when enough observations exist to fill the entire period. Early or edge positions are skipped until the window is complete.
7. Can I paste spreadsheet data directly?
Yes. Choose tab, comma, newline, or auto detection. The parser accepts several common separators, making it easy to move data from sheets or reports.
8. Why export the results table?
Exports help you archive calculations, share findings, and reuse results in reports or presentations. CSV works well for data tools, while PDF is convenient for fixed-format review.