FunctionBestFitFrequency
Library "FunctionBestFitFrequency"
TODO: add library description here
array_moving_average(sample, length, ommit_initial, fillna) Moving Average values for selected data.
Parameters:
Returns: float array
errors:
length > sample size "Canot call array methods when id of array is na."
best_fit_frequency(sample, start, end) Search a frequency range for the fairest moving average frequency.
Parameters:
Returns: tuple with (int frequency, float percentage)
TODO: add library description here
array_moving_average(sample, length, ommit_initial, fillna) Moving Average values for selected data.
Parameters:
- sample: float array, sample data values.
- length: int, length to smooth the data.
- ommit_initial: bool, default=true, ommit values at the start of the data under the length.
- fillna: string, default='na', options='na', '0', 'avg'
Returns: float array
errors:
length > sample size "Canot call array methods when id of array is na."
best_fit_frequency(sample, start, end) Search a frequency range for the fairest moving average frequency.
Parameters:
- sample: float array, sample data to based the moving averages.
- start: int lowest frequency.
- end: int highest frequency.
Returns: tuple with (int frequency, float percentage)
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Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.