Introduction Heyo, here I made a normalized Chaikin Money Flow (CMF) indicator with Inverse Fisher Transform (IFT) and some smoothing techniques. I had to normalize the indicator in order to fit it to the IFT range (-1 -> 1).
Moreover, the good old adaptive mode is also included in this indicator. It uses Ehlers superb dominant cycle techniques. It also has divergence detection, several options for individualisation and doesn't repaint.
Signals CMF above 0 => bullish market CMF below 0 => bearish market (You can also use the inner bands instead of the zero line, to make these signals more precise)
Bullish regular/hidden divergence => long Bearish regular/hidden divergence => short
Enjoy guys! PS: I really would like to hear some feedback of you.
リリースノート
Reworked CMF calculation Removed incompatible adaptive modes (Hilbert Transform and Median) Removed Kalman filter, because it had somehow no impact on CMF. Added option to disable divergence lines Optimized divergence colors (light purple => bullish, dark purple => bearish) Restructured input settings