Files
OpenBB/website/content/current/platform/reference/technical/adosc.md
andrewkenreich 7d095fcfd2 heheheheheheeh
2023-11-14 10:31:48 -05:00

2.1 KiB
Vendored

title, description, keywords
title description keywords
adosc 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.
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

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