--- title: wma description: A comprehensive guide about Weighted Moving Average (WMA), its special features, usage, inclusion of parameters like window lengths and offset. Also, providing an illustrative diagram about WMA. keywords: - Weighted Moving Average - WMA - n_length - n_offset - WMA parameters - WMA usage - WMA diagram - window lengths - offset --- import HeadTitle from '@site/src/components/General/HeadTitle.tsx'; A Weighted Moving Average puts more weight on recent data and less on past data. This is done by multiplying each bar’s price by a weighting factor. Because of its unique calculation, WMA will follow prices more closely than a corresponding Simple Moving Average. ### Usage ```python wma [-l N_LENGTH] [-o N_OFFSET] ``` --- ## Parameters | Name | Description | Default | Optional | Choices | | ---- | ----------- | ------- | -------- | ------- | | n_length | Window lengths. Multiple values indicated as comma separated values. | 20, 50 | True | None | | n_offset | offset | 0 | True | range(0, 100) | ![wma](https://user-images.githubusercontent.com/46355364/154312618-43430406-97c1-4740-87be-2414de9a1c06.png) ---