Fractal Chaos Bands (FCB)
||Iterable[Quote]||Iterable(such as list or an object having
• Need help with pandas.DataFrame?
||int||Fractal evaluation window span width (
The total evaluation window size is
±S from the evaluation date. See Williams Fractal for more information about Fractals and
Historical quotes requirements
You must have at least
2×S+1 periods of
quotes to cover the warmup periods; however, more is typically provided since this is a chartable candlestick pattern.
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
FCBResultsis 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 periods before the first fractal are
Nonesince they cannot be calculated.
||Decimal, Optional||FCB upper band|
||Decimal, Optional||FCB lower band|
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 Fcb(14) results = indicators.get_fcb(quotes, 14)
About Fractal Chaos Bands (FCB)
Created by Edward William Dreiss, Fractal Chaos Bands outline high and low price channels to depict broad less-chaotic price movements. FCB is a channelized depiction of Williams Fractal. [Discuss]