Balance of Power (BOP)
Calculate the Balance of Power (BOP) indicator for a given price series.
The Balance of Power (BOP) indicator measures the strength of buyers versus sellers in the market. It relates the price change to the change in the asset’s trading range.
The formula is as follows:
\[\text{BOP} = (\text{Close} - \text{Open}) / (\text{High} - \text{Low})\]Also known as: BOP, bull bear power.
Balance of Power (BOP) in Python
get_balance_of_power is part of the Technicals module of the open-source Finance Toolkit. Install it with:
pip install financetoolkit -U
Then call get_balance_of_power as shown below.
from financetoolkit import Toolkit
toolkit = Toolkit(tickers=["AAPL", "MSFT"])
toolkit.technicals.get_balance_of_power()
Which returns:
| Date | AAPL | MSFT | Benchmark |
|---|---|---|---|
| 2026-06-18 | -0.0202 | 0.1953 | -0.2334 |
| 2026-06-22 | -0.053 | -0.5769 | -0.4695 |
| 2026-06-23 | -0.4343 | 0.2382 | -0.0314 |
| 2026-06-24 | -0.3373 | -0.4333 | -0.2119 |
| 2026-06-25 | -0.814 | -0.6613 | -0.4719 |
| 2026-06-26 | 0.7479 | 0.7469 | 0.002 |
| 2026-06-29 | -0.5857 | -0.4335 | 0.472 |
| 2026-06-30 | 0.8864 | 0.297 | 0.7686 |
| 2026-07-01 | 0.1272 | 0.2475 | 0.1076 |
| 2026-07-02 | 0.9219 | 0.7071 | -0.2323 |
Parameters
get_balance_of_power accepts the following parameters:
- period (str, optional): The time period to consider for historical data. Can be “daily”, “weekly”, “quarterly”, or “yearly”. Defaults to “daily”.
- close_column (str, optional): The column name for closing prices in the historical data. Defaults to “Adj Close”.
- rounding (int | None, optional): The number of decimals to round the results to. Defaults to 4.
- growth (bool, optional): Whether to calculate the growth of the BOP. Defaults to False.
- lag (int | list[int], optional): The lag to use for the growth calculation.
- standardize (bool, optional): Whether to standardize (Z-Score) the result. When combined with growth=True, standardizes the growth values instead of the raw values. Defaults to False. Defaults to 1.