Stochastic Oscillator

get_stoch(quotes, lookback_periods=14, signal_periods=3, smooth_periods=3)

Parameters

name type notes
quotes Iterable[Quote] Iterable of the Quote class or its sub-class.
See here for usage with pandas.DataFrame
lookback_periods int, default 14 Lookback period (N) for the oscillator (%K). Must be greater than 0.
signal_periods int, default 3 Smoothing period for the signal (%D). Must be greater than 0.
smooth_periods int, default 3 Smoothing period (S) for the Oscillator (%K). “Slow” stochastic uses 3, “Fast” stochastic uses 1. Must be greater than 0.

Historical quotes requirements

You must have at least N+S periods of quotes to cover the warmup periods.

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.

Returns

StochResults[StochResult]

StochResult

name type notes
date datetime Date
oscillator or k float, Optional %K Oscillator over prior N lookback periods
signal or d float, Optional %D Simple moving average of Oscillator
percent_j or j float, Optional %J is the weighted divergence of %K and %D: %J=kFactor×%K-dFactor×%D

Note: aliases of k, d, and j are also provided. They can be used interchangeably with the standard outputs.

Utilities

See Utilities and Helpers for more information.

Example

from stock_indicators import indicators

# This method is NOT a part of the library.
quotes = get_history_from_feed("SPY")

# calculate STO %K(14),%D(3) (slow)
results = indicators.get_stoch(quotes, 14, 3, 3)

About Stochastic Oscillator

Created by George Lane, the Stochastic Oscillator is a momentum indicator that looks back N periods to produce a scale of 0 to 100. %J is also included for the KDJ Index extension. [Discuss] 💬

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Sources