ELMA - Exponential Logarithmic Moving Average This is a new kind of moving average that is using exponential normalization of a logarithmic formula. The exponential function is used to average the weight on the moving average while the logarithmic function is used to calculate the overall price effect. Features and Settings: ◻️ Following rate of change...
A decay channel that allows multi stage setup for timed events. update to V5: and
A centered oscillator that rethinks the Stocastic Oscillator (and others). The midline of historical price is used to calculate the percentage of the current price relative to the midline. See the comments at the beginning of the script for a complete description.
EXPERIMENTAL: improved range detection (it now locks range when its last formed on the appropriate side improving readability as it doesnt auto adjust when opposite extreme moves)
EXPERIMENTAL: Experiment using Linear Regression based on %atr for decay(decay option is a mutiplier for the atr).