text: Title: Indicators using moving averages variable does not pass kwargs to ma(mamode, close, length=length)
  Body: **Which version are you running? The lastest version is on Github. Pip is for major releases.**
  ```python 3.11
  import pandas_ta as ta
  print(ta.version) 2.1.4
  ```
  
  **Do you have _TA Lib_ also installed in your environment?**
  ```sh
  $ pip list
  ```
  Yes
  
  
  **Have you tried the _development_ version? Did it resolve the issue?**
  ```sh
  $ pip install -U git+https://github.com/twopirllc/pandas-ta.git@development
  ```
  No
  
  **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.
  ```python
      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
  ```python
  # 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)
  ```
  
  **Screenshots**
  If applicable, add screenshots to help explain your problem.
  
  **Additional context**
  Add any other context about the problem here.
  
  Thanks for using Pandas TA!
  