get_chaikin_osc(quotes, fast_periods=3, slow_periods=10)
||Iterable[Quote]||Iterable(such as list or an object having
• Need help with pandas.DataFrame?
||int, default 3||Number of periods (
||int, default 10||Number of periods (
Historical quotes requirements
You must have at least
S+100 periods of
quotes, whichever is more, to cover the convergence periods. Since this uses a smoothing technique, we recommend you use at least
S+250 data points prior to the intended usage date for better precision.
quotes is an
Iterable[Quote] collection of historical price quotes. It should have a consistent frequency (day, hour, minute, etc). See the Guide for more information.
- This method returns a time series of all available indicator values for the
ChaikinOscResultsis just a list of
- It always returns the same number of elements as there are in the historical quotes.
- It does not return a single incremental indicator value.
- The first
S-1periods will have
Oscillatorsince there’s not enough data to calculate.
Convergence warning: The first
S+100periods will have decreasing magnitude, convergence-related precision errors that can be as high as ~5% deviation in indicator values for earlier periods.
||float, Optional||Money Flow Multiplier|
||float, Optional||Money Flow Volume|
||float, Optional||Accumulation Distribution Line (ADL)|
||float, Optional||Chaikin Oscillator|
Warning: absolute values in MFV, ADL, and Oscillator are somewhat meaningless. Use with caution.
See Utilities and Helpers for more information.
from stock_indicators import indicators # This method is NOT a part of the library. quotes = get_history_from_feed("SPY") # Calculate 20-period Chaikin Oscillator results = indicators.get_chaikin_osc(quotes, 20)
About Chaikin Oscillator
Created by Marc Chaikin, the Chaikin Oscillator is the difference between fast and slow Exponential Moving Averages (EMA) of the Accumulation/Distribution Line (ADL). [Discuss]