Hull Moving Average (HMA)

get_hma(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 1.

Historical quotes requirements

You must have at least N+(integer of SQRT(N))-1 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.

Return

HMAResults[HMAResult]

HMAResult

name type notes
date datetime Date
hma float, Optional Hull 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 HMA
results = indicators.get_hma(quotes, 20)

About Hull Moving Average (HMA)

Created by Alan Hull, the Hull Moving Average is a modified weighted average of close price over N lookback periods that reduces lag. [Discuss] 💬

image

Sources