Detrended Price Oscillator (DPO)

get_dpo(quotes, lookback_periods)

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 Number of periods (N) in the moving average. Must be greater than 0.

Historical quotes requirements

You must have at least N historical 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.

Return

DPOResults[DPOResult]

DPOResult

name type notes
date datetime Date
sma float, Optional Simple moving average offset by N/2+1 periods
dpo float, Optional Detrended Price Oscillator (DPO)

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_historical_quotes("SPY")

# Calculate
results = indicators.get_dpo(quotes, 14)

About Detrended Price Oscillator (DPO)

Detrended Price Oscillator depicts the difference between price and an offset simple moving average. It is used to identify trend cycles and duration. [Discuss] 💬

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Sources