Advancers/Decliners Ratio
Calculate the daily advance/decline signal for a given price series.
Traditionally advancers versus decliners is a market-wide count of rising against falling stocks; applied to a single ticker it becomes a directional signal: +1 on a day the ticker closed higher than the day before, -1 on a day it closed lower and 0 on an unchanged day. It feeds the McClellan Oscillator; get_trin and get_new_highs_new_lows measure breadth across all tickers.
The formula is as follows:
\[\text{Signal} = + 1 \;\text{if Close} (t) > \operatorname{Close}(t-1),\;\; \text{-1 if Close(t) < Close(t-1)},\;\; \text{else 0}\]Also known as: advance decline ratio, market breadth.
Advancers/Decliners Ratio in Python or via the MCP
Install the Finance Toolkit with:
pip install financetoolkit -U
Then call get_advancers_decliners as shown below.
from financetoolkit import Toolkit
toolkit = Toolkit(
tickers=["EWJ", "EWG", "EWU", "EWQ", "EWZ", "INDA", "FXI", "EWC", "EWA", "EWY"],
api_key="FINANCIAL_MODELING_PREP_KEY",
start_date="2021-01-01",
end_date="2025-12-31",
)
toolkit.technicals.get_advancers_decliners().loc[:, ["EWJ", "EWG", "EWZ", "INDA", "FXI", "Benchmark"]].tail(5)
Or, after setting up the Finance Toolkit MCP, ask:
On which trading days from 24 to 31 December 2025 did the iShares MSCI Japan (EWJ), Germany (EWG), Brazil (EWZ), India (INDA) and China Large-Cap (FXI) ETFs close higher or lower than the day before?
Which returns:
| Date | EWJ | EWG | EWZ | INDA | FXI | Benchmark |
|---|---|---|---|---|---|---|
| 2025-12-24 | -1 | 1 | -1 | -1 | 1 | 1 |
| 2025-12-26 | -1 | 1 | 1 | -1 | 1 | -1 |
| 2025-12-29 | 1 | -1 | -1 | -1 | -1 | -1 |
| 2025-12-30 | -1 | 1 | 1 | 1 | 1 | -1 |
| 2025-12-31 | -1 | -1 | -1 | 1 | -1 | -1 |
Parameters
get_advancers_decliners accepts the following parameters.
| Parameter | Type | Description | Example |
|---|---|---|---|
period | str | The time period to consider for historical data. Can be “intraday”, “daily”, “weekly”, “monthly”, “quarterly” or “yearly”. Defaults to “daily”. | "weekly" |
close_column | str | The name of the column containing the close prices. Defaults to “Adj Close”. | "Close" |
rounding | int | None | The number of decimals to round the results to. Defaults to None, which uses the rounding of the Toolkit (4 unless set otherwise). | 2 |
growth | bool | Whether to calculate the growth of the indicator values. Defaults to False. | True |
lag | int | list[int] | The lag to use for the growth calculation. Defaults to 1. | 4 |
standardize | bool | Whether to standardize (Z-Score) the result. When combined with growth=True, standardizes the growth values instead of the raw values. Defaults to False. | True |