text: Title: Schaff Trend Cycle: stc - Cannot Adjust tclen=stc_tclen
  Body: **Which version are you running? = 0.3.14b0
  
  The lastest version is on Github. Pip is for major releases.**
  ```python
  import pandas_ta as ta
  print(ta.version) 
  ```
  
  **Do you have _TA Lib_ also installed in your environment?** 
  YES = TA-Lib                 0.4.21
  ```sh
  $ pip list
  ```
  
  **Did you upgrade? Did the upgrade resolve the issue?** NOP
  ```sh
  $ pip install -U git+https://github.com/twopirllc/pandas-ta
  ```
  
  **Describe the bug**
  The indicator (stc) appears to be hard codes for tclen=10 which is he default.
  No matter what value I enter the results are the same. Even when I place quotes around the number no error is produces. Seems like this parameter is being ignored. 
  
  
  **To Reproduce**
  ```python
  stcy = df.ta.stc(tclen=10, fast=26, slow=12,append=True)
  stcy = df.ta.stc(tclen=26, fast=26, slow=12,append=True)
  
  stcy = df.ta.stc(tclen='10', fast=26, slow=12,append=True)
  ```
  
  **Expected behavior**
  STC_10_12_26_0.5 
  and
  STC_26_12_26_0.5 with different values.
  
  **Screenshots**
  See attached screenshot
  ![pandas_ta(stc)](https://user-images.githubusercontent.com/93855887/152451648-38425141-343a-4ffb-8ac0-4e589066e88c.png)
  
  
  **Additional context**
  Add any other context about the problem here.
  
  Thanks for using Pandas TA!
  