text: Title: Feature Request: Pivot Points 
  Body: Pivot points are used to notice importance levels during a trading session. I have used them successfully for day trading as they are solid inflection points. 
  
  Read more here - https://tradingsim.com/blog/pivot-points/
  
  > 
  > Pivot Point (PP) = (Prior Daily High + Low + Close) / 3
  > R1 = (2 x Pivot Point) – Prior Daily Low
  > R2 = Pivot Point + (Prior Daily High – Prior Daily Low)
  > S1 = (2 x Pivot Point) – Prior Daily High
  > S2 = Pivot Point – (Prior Daily High – Prior Daily Low)
  > R3 = Daily High + 2 x (Pivot Point – Prior Daily Low)
  > S3 = Daily Low – 2 x (Prior Daily High – Pivot Point)
  > 
  
  Since it is typically computed on daily timeframe (and above), yfinance data can be used as a default.
  
  My python skills are limited so I cannot code it as a Pandas TA custom indicator. That said, it seems pretty easy enough that I can compute it in pandas. It would just be super convenient if it was part of Pandas TA. I will update this issue with the pandas code when I get it done. 