Triple Exponential Moving Average (TEMA)
get_tema(quotes, lookback_periods)
Parameters
name | type | notes |
---|---|---|
quotes |
Iterable[Quote] | Iterable(such as list or an object having __iter__() ) of the Quote class or its sub-class. • Need help 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 ofTEMAResult
. - 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 haveNone
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 theEma3
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_history_from_feed("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.