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OpenBB/website/content/sdk/reference/ta/zlma.md
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---------

Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
zlma This page provides an in-depth view of the zlma function, which is used to calculate zero-lagged exponential moving average (ZLEMA) for stocks. The page includes the source code and details of parameters and returns.
ZLEMA
stock analysis
technical analysis
openbb.ta.zlma function
exponential moving average
OpenBB finance
overlap_model.py
dataframe
EMA

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

Gets zero-lagged exponential moving average (ZLEMA) for stock

Source Code: [link]

openbb.ta.zlma(data: pd.Series, length: int = 50, offset: int = 0)

Parameters

Name Type Description Default Optional
data pd.Series Dataframe of dates and prices None False
length int Length of EMA window 50 True
offset int Length of offset 0 True

Returns

Type Description
pd.DataFrame Dataframe containing prices and EMA