--- title: adosc description: Learn about the Accumulation/Distribution Oscillator, also known as the Chaikin Oscillator. This momentum indicator examines the strength of price moves and underlying buying and selling pressure. Discover how divergence between the indicator and price signals market turning points. Explore the parameters, data, and examples for using this oscillator in your analysis. keywords: - Accumulation/Distribution Oscillator - Chaikin Oscillator - momentum indicator - Accumulation-Distribution line - buying pressure - selling pressure - divergence - market turning points - parameters - data - fast calculation - slow calculation - offset - returns - examples --- import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; Accumulation/Distribution Oscillator. Also known as the Chaikin Oscillator. Essentially a momentum indicator, but of the Accumulation-Distribution line rather than merely price. It looks at both the strength of price moves and the underlying buying and selling pressure during a given time period. The oscillator reading above zero indicates net buying pressure, while one below zero registers net selling pressure. Divergence between the indicator and pure price moves are the most common signals from the indicator, and often flag market turning points. Parameters ---------- data : List[Data] List of data to be used for the calculation. fast : PositiveInt, optional Number of periods to be used for the fast calculation, by default 3. slow : PositiveInt, optional Number of periods to be used for the slow calculation, by default 10. offset : int, optional Offset to be used for the calculation, by default 0. Returns ------- OBBject[List[Data]] Examples -------- ```python from openbb import obb stock_data = obb.equity.price.historical(symbol="TSLA", start_date="2023-01-01", provider="fmp") adosc_data = obb.technical.adosc(data=stock_data.results, fast=3, slow=10, offset=0) ``` --- ## Parameters This function does not take standardized parameters. --- ## Returns This function does not return a standardized model ---