MA Study: Different Types and More [NeoButane]

2018年8月22日

A study of moving averages that utilizes different tricks I've learned to optimize them. Included is Bollinger Bands, Guppy (GMMA) and Super Guppy.

The method used to make it MtF should be more precise and smoother than regular MtF methods that use the security function. For intraday timeframes, each number represents each hour, with 24 equal to 1 day. For daily, 3 is 3 day, for weekly, 4 is the 4 weekly, etc. If you're on a higher timeframe than the one selected, the length will not change.
Log-space is used to make calculations work on many cryptos. The rules for color changing Guppy is changed to make it not as choppy on MAs other than EMA. Note that length does not affect SWMA and VWAP and source does not affect VWAP.

A short summary of each moving average can be found here: medium.com/@NeoButane/charting-indicators-moving-average-types-8f69eac59379

List of included MAs:

• ALMA: Arnaud Legoux
  
• Double EMA
  
• EMA: Exponential
  
• Hull MA
  
• KAMA: Kaufman Adaptive
  
• Linear Regression Curve
  
• LSMA: Least Squares
  
• SMA: Simple
  
• SMMA/RMA: Smoothed/Running
  
• SWMA: Symm. Weighted
  
• TMA: Triangular
  
• Triple EMA
  
• VWMA: Volume Weighted
  
• WMA: Weighted
  
• ZLEMA: Zero Lag
  
• VWAP: Vol Weighted Average
  
• Welles Wilder MA
  

2018年8月22日

版本注释

Added offsets to all plots.

2018年9月27日

版本注释

- Added second MA
- Added McGinley Dynamic
- Added MVWAP (uses EMA)
- Added an EMA version of Triangular MA for experimentation
- Consolidated LRC with LSMA and SSMA/RMA with Welles Wilders as they have the same formulas
- Removed Super Guppy to help with lag/length limiting
- Commented out some inputs
- Reorganized

2020年12月26日

版本注释

Updated to Pine Script v4 for much faster compilation, replaced some functions with the new built-in MAs, and added WMA to input.