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]

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] 💬

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Sources