Introduction Heyo, in this indicator I decided to add VHF adaptivness, linear regression and smoothing to a KAMA in order to squeeze all out of it.
KAMA: Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements.
VHF: Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Linear Regression Curve: A line that best fits the prices specified over a user-defined time period. This is very good to eliminate bad crosses of KAMA and the pric.
Usage You can use this indicator on every timeframe I think. I mostly tested it on 1 min, 5 min and 15 min.
Signals Enter Long -> crossover(close, kama) and crossover(kama, kama[4]) Enter Short -> crossunder(close, kama) and crossunder(kama, kama[4])
Removed unncessery code Fixed color-related bug when gradient is turned off
릴리즈 노트
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Added minval to some inputs Replaced unicode character with normal character to support mobile phones (etc.) Added gradient lookback input field to adjust the sensitivity of the gradient Fixed custom resolution support Fixed KAMA calculation error Updated signal logic Updated KAMA angle/slope calculation for the gradient