Calculate the Williams Percent R (Williams %R) for a given price series.

The Williams %R is a momentum indicator that measures the level of the close price relative to the high-low range over a certain number of periods.

The formula is as follows:

\[\text{Williams} \%R = (\text{Highest High} - \text{Close}) / (\text{Highest High} - \text{Lowest Low}) \cdot - 100\]

Also known as: Williams percent R, overbought oversold oscillator.

No programming experience? With the Finance Toolkit MCP server, AI assistants such as Claude and ChatGPT can calculate the Williams %R for you. Just ask in plain English.

Calculate the Williams %R in Python

The Williams %R is available in the Technicals module of the open-source Finance Toolkit. Install it with:

pip install financetoolkit -U

Then call get_williams_percent_r as shown below.

from financetoolkit import Toolkit

toolkit = Toolkit(tickers=["AAPL", "MSFT"])

toolkit.technicals.get_williams_percent_r()

Which returns:

Date AAPL MSFT Benchmark
2026-06-18 -64.5903 -93.4222 -36.128
2026-06-22 -67.9214 -99.6876 -42.3433
2026-06-23 -76.9487 -90.6301 -69.6493
2026-06-24 -81.0127 -99.0472 -70.1848
2026-06-25 -96.7927 -95.4778 -65.6498
2026-06-26 -77.0218 -65.0235 -69.0524
2026-06-29 -72.1311 -69.1462 -39.1022
2026-06-30 -45.5528 -57.3424 -24.7132
2026-07-01 -28.0433 -33.2445 -27.2319
2026-07-02 -2.2147 -21.4272 -29.6758

Parameters

get_williams_percent_r 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 name of the column containing the close prices. Defaults to “Adj Close”.
  • window (int, optional): The number of periods for calculating the Williams %R. Defaults to 14.
  • 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 indicator values. 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.

The Technicals module page introduces the module, and the sidebar lists all of its functions.

Share