qbtrade/pkg/indicator/tema.go

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2024-06-27 14:42:38 +00:00
package indicator
import (
"git.qtrade.icu/lychiyu/qbtrade/pkg/datatype/floats"
"git.qtrade.icu/lychiyu/qbtrade/pkg/types"
)
// Refer: Triple Exponential Moving Average (TEMA)
// URL: https://investopedia.com/terms/t/triple-exponential-moving-average.asp
//
// The Triple Exponential Moving Average (TEMA) is a technical analysis indicator that is used to smooth price data and reduce the lag
// associated with traditional moving averages. It is calculated by taking the exponentially weighted moving average of the input data,
// and then taking the exponentially weighted moving average of that result, and then taking the exponentially weighted moving average of
// that result. This triple-smoothing process helps to eliminate much of the noise in the original data and provides a more accurate
// representation of the underlying trend. The TEMA line is then plotted on the price chart, which can be used to make predictions about
// future price movements. The TEMA is typically more responsive to changes in the underlying data than a simple moving average, but may be
// less reliable in trending markets.
//go:generate callbackgen -type TEMA
type TEMA struct {
types.SeriesBase
types.IntervalWindow
Values floats.Slice
A1 *EWMA
A2 *EWMA
A3 *EWMA
UpdateCallbacks []func(value float64)
}
func (inc *TEMA) Update(value float64) {
if len(inc.Values) == 0 {
inc.SeriesBase.Series = inc
inc.A1 = &EWMA{IntervalWindow: inc.IntervalWindow}
inc.A2 = &EWMA{IntervalWindow: inc.IntervalWindow}
inc.A3 = &EWMA{IntervalWindow: inc.IntervalWindow}
}
inc.A1.Update(value)
a1 := inc.A1.Last(0)
inc.A2.Update(a1)
a2 := inc.A2.Last(0)
inc.A3.Update(a2)
a3 := inc.A3.Last(0)
inc.Values.Push(3*a1 - 3*a2 + a3)
}
func (inc *TEMA) Last(i int) float64 {
return inc.Values.Last(i)
}
func (inc *TEMA) Index(i int) float64 {
return inc.Last(i)
}
func (inc *TEMA) Length() int {
return len(inc.Values)
}
var _ types.SeriesExtend = &TEMA{}
func (inc *TEMA) PushK(k types.KLine) {
inc.Update(k.Close.Float64())
}
func (inc *TEMA) CalculateAndUpdate(allKLines []types.KLine) {
if inc.A1 == nil {
for _, k := range allKLines {
inc.PushK(k)
inc.EmitUpdate(inc.Last(0))
}
} else {
k := allKLines[len(allKLines)-1]
inc.PushK(k)
inc.EmitUpdate(inc.Last(0))
}
}
func (inc *TEMA) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) {
if inc.Interval != interval {
return
}
inc.CalculateAndUpdate(window)
}
func (inc *TEMA) Bind(updater KLineWindowUpdater) {
updater.OnKLineWindowUpdate(inc.handleKLineWindowUpdate)
}