• Systems
  • Performance
  • Contact

Weighted Moving Average

The weighted moving average (WMA) is a type of moving average that assigns greater importance to more recent data points. Unlike the simple moving average, which treats all values equally, WMA multiplies each data point by a predetermined weight before averaging. 

WMA=∑i=1nwi⋅pi∑i=1nwi\text{WMA} = \frac{\sum_{i=1}^{n} w_i \cdot p_i}{\sum_{i=1}^{n} w_i}

©2026 All Rights Reserved.

Terms and Conditions

Privacy Policy

Cookie Policy

Disclosure

©2025 All Rights Reserved.

SEVENTYFIVE – Group

powered by amicus.media