Indicators using moving averages variable does not pass kwargs to ma(mamode, close, length=length)

Which version are you running? The lastest version is on Github. Pip is for major releases.

import pandas_ta as ta
print(ta.version) 2.1.4

Do you have TA Lib also installed in your environment?

$ pip list

Yes

Have you tried the development version? Did it resolve the issue?

$ pip install -U git+https://github.com/twopirllc/pandas-ta.git@development

Describe the bug Many indicators e.g. Keltner Channel is using internally ma(mamode, close, length) but it should have ma(mamode, close, length, kwargs) Many moving averages e.g linreg have extra kwargs that are not passed further So for example passing kwargs to kc Class is not passing those kwargs to be used when calculating moving average.

To Reproduce Provide sample code.

    if mamode == 'linreg':
        kwargs={'degrees': True, 'slope': True, 'tsf': True}
    print(kwargs)

    kc_var = kc(close=df['close'], high=df['high'], low=df['low'], length=p_length, mamode=mamode, scalar=p_scalar, kwargs=kwargs)

Expected behavior A clear and concise description of what you expected to happen. When calling should have kwargs passed into it e.g. ma(mamode, close, length, kwargs)

Inside kc

# Calculate Result
    use_tr = kwargs.pop("tr", True)
    if use_tr:
        range_ = true_range(high, low, close)
    else:
        range_ = high_low_range(high, low)
#SHOULD BE BELOW
    basis = ma(mamode, close, length=length, kwargs)
    band = ma(mamode, range_, length=length, kwargs)

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Additional context Add any other context about the problem here.

Thanks for using Pandas TA!

twopirllc / pandas-ta

Indicators using moving averages variable does not pass kwargs to ma(mamode, close, length=length) #764