Calculate the Relative Vigor Index (RVI) for a given price series.

The Relative Vigor Index is an oscillator that measures the conviction of a current price trend using the relationship between closing and opening prices.

The formula is as follows:

\[\text{RVI} = \operatorname{Sum}(\text{Upward Close-Open Movement},\; \text{window}) / (\operatorname{Sum}(\text{Upward Close-Open Movement},\; \text{window}) + \operatorname{Sum}(\text{Downward Close-Open Movement},\; \text{window}))\]

Also known as: vigor index. Note this is a bounded [0, 1] measure of the proportion of upward close-open movement, related in spirit to (but not numerically the same as) John Ehlers’ published Relative Vigor Index. See momentum_model.get_relative_vigor_index for the full formula and caveats.

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Calculate the Relative Vigor Index in Python

The Relative Vigor Index is available in the Technicals module of the open-source Finance Toolkit. Install it with:

pip install financetoolkit -U

Then call get_relative_vigor_index as shown below.

from financetoolkit import Toolkit

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

toolkit.technicals.get_relative_vigor_index()

Which returns:

Date AAPL MSFT Benchmark
2026-06-18 0.4036 0.0663 0.4484
2026-06-22 0.4352 0.0626 0.3655
2026-06-23 0.2163 0.091 0.319
2026-06-24 0.2251 0.0984 0.3306
2026-06-25 0.1793 0.095 0.2203
2026-06-26 0.397 0.4174 0.2946
2026-06-29 0.4175 0.3712 0.4362
2026-06-30 0.7891 0.4475 0.6846
2026-07-01 0.7922 0.5237 0.9267
2026-07-02 1.1745 0.7045 0.5225

Parameters

get_relative_vigor_index 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 in the historical data that represents the closing prices. Defaults to “Adj Close”.
  • window (int, optional): The number of periods for calculating the RVI. 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.
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The Technicals module page introduces the module, and the sidebar lists all of its functions.

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