The exponential moving average (WU_EMA) is a type of moving average that gives more weight to recent values, making it more responsive to recent value changes. More...

#include <indicators.h>

Data Fields
double(*	update )(struct WU_EMA_ *self, double value)
void(*	delete )(struct WU_EMA_ *self)
double	value
double	prev_value
double	alpha
int	len
int	period

Detailed Description

The exponential moving average (WU_EMA) is a type of moving average that gives more weight to recent values, making it more responsive to recent value changes.

The WU_EMA is calculated using a smoothing factor that determines how much weight is given to the most recent value.

Definition at line 85 of file indicators.h.

Field Documentation

◆ alpha

double WU_EMA::alpha

Definition at line 90 of file indicators.h.

◆ delete

void(* WU_EMA::delete) (struct WU_EMA_ *self)

Definition at line 87 of file indicators.h.

◆ len

int WU_EMA::len

Definition at line 91 of file indicators.h.

◆ period

int WU_EMA::period

Definition at line 92 of file indicators.h.

◆ prev_value

double WU_EMA::prev_value

Definition at line 89 of file indicators.h.

◆ update

double(* WU_EMA::update) (struct WU_EMA_ *self, double value)

Definition at line 86 of file indicators.h.

◆ value

double WU_EMA::value

Definition at line 88 of file indicators.h.

The documentation for this struct was generated from the following file:

include/wu/indicators.h

Data Fields