Asymmetric Conditional Averaging

⚖️ Research Notes
Documenting other features of "Average Bullish & Bearish Percentage Change" indicator where Bar Metrics is set to Full Capacity.

• Asymmetric Conditional Averaging
  For a quick example, I'll leave bulls at default 10 and change number of past bearish candles to 100.
  Since the indicator targets candles by classification which is divided by the previous price (to work out the change) before averaging, that makes the data scalable. (So no matter how high we increase the averaging number, it still will preserve the scaling laws of that historic range that comes with output)
  
  When opposite market force is averaged at higher number of past candles, it becomes a threshold, giving a unique perspective when comparing phases of uptrend at bigger scales.