Triple Exponential Moving Average (TEMA)

get_tema(quotes, lookback_periods)

Parameters

name	type	notes
`quotes`	Iterable[Quote]	Iterable of the Quote class or its sub-class. • See here for usage with pandas.DataFrame
`lookback_periods`	int	Number of periods (`N`) in the moving average. Must be greater than 0.

Historical quotes requirements

You must have at least 4×N or 3×N+100 periods of quotes, whichever is more, to cover the warmup periods. Since this uses a smoothing technique, we recommend you use at least 3×N+250 data points prior to the intended usage date for better precision.

quotes is an Iterable[Quote] collection of historical price quotes. It should have a consistent frequency (day, hour, minute, etc). See the Guide for more information.

Return

TEMAResults[TEMAResult]

This method returns a time series of all available indicator values for the quotes provided.
TEMAResults is just a list of TEMAResult.
It always returns the same number of elements as there are in the historical quotes.
It does not return a single incremental indicator value.
The first 3×N-2 periods will have None values since there’s not enough data to calculate. Also note that we are using the proper weighted variant for TEMA. If you prefer the unweighted raw 3 EMAs value, please use the Ema3 output from the TRIX oscillator instead.

⚞ Convergence warning: The first 3×N+100 periods will have decreasing magnitude, convergence-related precision errors that can be as high as ~5% deviation in indicator values for earlier periods.

TEMAResult

name	type	notes
`date`	datetime	Date
`tema`	float, Optional	Triple exponential moving average

Utilities

See Utilities and Helpers for more information.

Example

from stock_indicators import indicators

# This method is NOT a part of the library.
quotes = get_historical_quotes("SPY")

# calculate 20-period TEMA
results = indicators.get_tema(quotes, 20)

About Triple Exponential Moving Average (TEMA)

Triple exponential moving average of the Close price over a lookback window. Note: TEMA is often confused with the alternative TRIX oscillator. [Discuss] 💬

See related EMA and Double EMA.