`ttrpy.trend.bop` module

Source code

# Author: joelowj
# License: Apache License, Version 2.0

import pandas as pd


def bop(df, open, high, low, close, bop):
    """
    Balance of Power (BOP) is used in technical analysis to evaluate the
    strength of buyers and sellers by assessing the ability to push price to
    extreme high and low levels. The Balance of Power oscillates around 0 (zero)
    center line in the range from -1 to +1. Positive BOP readings are considered
    as a bullish sign and negative BOP readings is a Bearish sign.

    Parameters:
        df (pd.DataFrame): DataFrame which contain the asset information.
        open (string): the column name for the opening price of the asset.
        high (string): the column name for the period highest price  of the asset.
        low (string): the column name for the period lowest price of the asset.
        close (string): the column name for the closing price of the asset.
        bop (string): the column name for the bop values.

    Returns:
        df (pd.DataFrame): Dataframe with balance of power calculated.

    """

    df[bop] = (df[close] - df[open]) / (df[high] - df[low])

    return df

Functions

def bop(df, open, high, low, close, bop)

Balance of Power (BOP) is used in technical analysis to evaluate the strength of buyers and sellers by assessing the ability to push price to extreme high and low levels. The Balance of Power oscillates around 0 (zero) center line in the range from -1 to +1. Positive BOP readings are considered as a bullish sign and negative BOP readings is a Bearish sign.

Parameters

df : pd.DataFrame: DataFrame which contain the asset information.
open : string: the column name for the opening price of the asset.
high : string: the column name for the period highest price of the asset.
low : string: the column name for the period lowest price of the asset.
close : string: the column name for the closing price of the asset.
bop() : string: the column name for the bop values.

Returns

df : pd.DataFrame: Dataframe with balance of power calculated.

Source code

def bop(df, open, high, low, close, bop):
    """
    Balance of Power (BOP) is used in technical analysis to evaluate the
    strength of buyers and sellers by assessing the ability to push price to
    extreme high and low levels. The Balance of Power oscillates around 0 (zero)
    center line in the range from -1 to +1. Positive BOP readings are considered
    as a bullish sign and negative BOP readings is a Bearish sign.

    Parameters:
        df (pd.DataFrame): DataFrame which contain the asset information.
        open (string): the column name for the opening price of the asset.
        high (string): the column name for the period highest price  of the asset.
        low (string): the column name for the period lowest price of the asset.
        close (string): the column name for the closing price of the asset.
        bop (string): the column name for the bop values.

    Returns:
        df (pd.DataFrame): Dataframe with balance of power calculated.

    """

    df[bop] = (df[close] - df[open]) / (df[high] - df[low])

    return df