Balance of Power (BOP)

get_bop(quotes, smooth_periods=14)

Parameters

name	type	notes
`quotes`	Iterable[Quote]	Iterable of the Quote class or its sub-class. • See here for usage with pandas.DataFrame
`smooth_periods`	int, default 14	Number of periods (`N`) for smoothing. Must be greater than 0.

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.

Return

BOPResults[BOPResult]

This method returns a time series of all available indicator values for the quotes provided.
BOPResults is just a list of BOPResult.
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-1 periods will have None values since there’s not enough data to calculate.

BOPResult

name	type	notes
`date`	datetime	Date
`bop`	float, Optional	Balance of Power

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 14-period BOP
results = indicators.get_bop(quotes, 14)

About Balance of Power (BOP)

Created by Igor Levshin, the Balance of Power (aka Balance of Market Power) is a momentum oscillator that depicts the strength of buying and selling pressure. [Discuss] 💬