Endpoint Moving Average (EPMA)
||Iterable[Quote]||Iterable(such as list or an object having
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||int||Number of periods (
Historical quotes requirements
You must have at least
N periods of
quotes to cover the warmup periods.
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.
- This method returns a time series of all available indicator values for the
EPMAResultsis just a list of
- 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
N-1periods will have
Nonevalues since there’s not enough data to calculate.
||float, Optional||Endpoint moving average|
See Utilities and Helpers for more information.
from stock_indicators import indicators # This method is NOT a part of the library. quotes = get_history_from_feed("SPY") # Calculate 20-period EPMA results = indicators.get_epma(quotes, 20)
About Endpoint Moving Average (EPMA)
Endpoint Moving Average (EPMA), also known as Least Squares Moving Average (LSMA), plots the projected last point of a linear regression lookback window. [Discuss]